Express parcel in-transit monitoring and management method, device and equipment and storage medium

Abstract

The invention relates to the technical field of logistics, in particular to an express parcel in-transit monitoring and management method, device and equipment and a storage medium. The express parcel in-transit monitoring and management method comprises the following steps that information of a plurality of RFID tags is acquired and summarized to form a first data set, and vehicle information and parcel information are extracted from the first data set; obtaining vehicle position data according to the vehicle information, obtaining real-time traffic data, and calculating a distribution route according to the real-time traffic data and the vehicle position data; and calculating the real-time loading capacity of the vehicle according to the vehicle information and the parcel information, and planning a filling scheme according to the real-time loading capacity of the vehicle and the delivery route. The logistics parcel transportation efficiency can be effectively improved, the state and the position of the parcel can be accurately monitored, and parcel transportation can be better managed. In addition, the utilization rate of the vehicle can be increased, and the transportation cost of parcels is reduced.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to a method, device, equipment and storage medium for monitoring and managing express parcels in transit. Background Art

[0002] With the rapid development of the logistics industry and technology, customers have higher and higher requirements for the quality of logistics services. How to effectively monitor the status of parcels in transit and manage them efficiently is the key to improving logistics efficiency, reducing costs and increasing customer satisfaction. At present, there are many challenges in the management of express parcels in transit, such as the inability to accurately warn of the expiration date, the difficulty in effectively planning transportation vehicles, and the insufficient integration and utilization of parcel delivery information. It can be seen that the existing technology still needs to be improved and enhanced. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the object of the present invention is to provide a method, device, equipment and storage medium for monitoring and managing express parcels in transit, aiming to solve the technical problems in the prior art such as insufficient monitoring of express parcels in transit and ineffective transportation planning of transport vehicles.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] A first aspect of the present invention provides a method for monitoring and managing express parcels in transit, comprising the following steps: obtaining and aggregating information from multiple RFID tags to form a first data set, extracting vehicle information and parcel information from the first data set; obtaining vehicle location data based on the vehicle information, obtaining real-time traffic data, and calculating a delivery route based on the real-time traffic data and the vehicle location data; calculating the real-time vehicle load based on the vehicle information and the parcel information, and planning a filling plan based on the real-time vehicle load and the delivery route.

[0006] Optionally, in a first implementation manner of the first aspect of the present invention, the obtaining and aggregating multiple RFID tag information to form a first data set, and extracting vehicle information and package information from the first data set specifically include: obtaining multiple RFID tag information, the RFID tag information including sensor information, package information, and vehicle information associated with the package, aggregating the RFID tag information to form a first data set, preprocessing the first data set to obtain a second data set; obtaining sensor information, vehicle information, and package information from the second data set, and obtaining package location data based on the sensor information, vehicle information, and package information; obtaining map information, annotating the map information based on the package location data and the package information, and outputting the map information.

[0007] Optionally, in a second implementation manner of the first aspect of the present invention, the obtaining of sensor information, vehicle information and package information from the second data set, and obtaining package location data based on the sensor information, vehicle information and package information specifically includes: obtaining sensor information, vehicle information and package information from the second data set, the sensor information including a sensor number and sensor location data, the vehicle information including a vehicle number and vehicle location data, and the package information including a waybill number and package status information; determining whether the vehicle location data is close to the sensor location data to obtain a determination result; if the determination result is that the vehicle location data is close to the sensor location data, using the sensor location data as the package location data; if the determination result is that the vehicle location data is not close to the sensor location data, using the vehicle location data as the package location data.

[0008] Optionally, in a third implementation method of the first aspect of the present invention, the obtaining of vehicle location data based on vehicle information, obtaining real-time traffic data, and calculating a delivery route based on the real-time traffic data and the vehicle location data specifically include: obtaining vehicle location data based on vehicle information, and obtaining a vehicle delivery plan planned in advance based on the vehicle information, the vehicle delivery plan including a delivery location; obtaining real-time traffic data, using a genetic algorithm, calculating a delivery route based on real-time traffic data, the delivery location and vehicle location data, and obtaining a first driving route; obtaining weather forecast data, adjusting the first driving route based on the weather forecast data, and obtaining a second driving route.

[0009] Optionally, in a fourth implementation manner of the first aspect of the present invention, the real-time loading capacity of the vehicle is calculated according to the vehicle information and the package information, and a filling plan is planned according to the real-time loading capacity of the vehicle and the delivery route, specifically including: calculating the real-time loading capacity of the vehicle according to the vehicle information and the package information, obtaining pre-established filling standards and vehicle driving information, and calculating whether the vehicle meets the filling standards according to the vehicle information, the real-time loading capacity of the vehicle and the vehicle driving information to obtain a calculation result; if the calculation result is that the vehicle meets the filling standards, obtaining the delivery route of the vehicle, matching outlets according to the delivery route to obtain a matching result; and adjusting the delivery route according to the matching result to obtain a filling plan.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the real-time loading capacity of the vehicle is calculated according to the vehicle information and the package information, pre-established filling standards and vehicle driving information are obtained, and whether the vehicle meets the requirements of the filling standards is calculated according to the vehicle information, the real-time loading capacity of the vehicle and the vehicle driving information to obtain a calculation result, specifically including: obtaining vehicle information and package information associated with the vehicle information, the package information including package volume and package weight, and calculating the real-time loading capacity of the vehicle according to the package volume and the package weight; obtaining the vehicle's approved load and vehicle type from the vehicle information, and calculating the vehicle's free load according to the vehicle's approved load, vehicle type and the real-time loading capacity of the vehicle; obtaining pre-established filling standards and vehicle driving information, and calculating whether the vehicle meets the requirements of the filling standards according to the vehicle information, the vehicle's free load and the vehicle driving information to obtain a calculation result.

[0011] Optionally, in a sixth implementation manner of the first aspect of the present invention, if the calculation result is that the vehicle meets the requirements of the filling standards, the delivery route of the vehicle is obtained, and the outlets are matched according to the delivery route to obtain a matching result, specifically including: if the calculation result is that the vehicle meets the requirements of the filling standards, the delivery route of the vehicle is obtained, and the outlets that meet the requirements are searched according to pre-set matching rules to obtain a preliminary screening result; the package delivery demand of each outlet in the preliminary screening result is obtained, and whether the package delivery demand of the outlet is compatible with the delivery route of the vehicle according to the filling standards to obtain an adaptation result; if the package delivery demand of the outlet is compatible with the delivery route of the vehicle, the outlet is included in the re-screening result; the outlets in the re-screening result are sorted according to the urgency of the package delivery to obtain a sorting result, and the matching result of the delivery route and the outlet is calculated according to the sorting result.

[0012] The second aspect of the present invention provides an express package in-transit monitoring and management device, including: a data processing module, used to obtain and summarize multiple RFID tag information to form a first data set, and extract vehicle information and package information from the first data set; a route planning module, used to obtain vehicle location data based on vehicle information, obtain real-time traffic data, and calculate the delivery route based on the real-time traffic data and vehicle location data; a filling planning module, used to calculate the real-time vehicle loading capacity based on the vehicle information and package information, and plan the filling plan based on the real-time vehicle loading capacity and the delivery route.

[0013] Optionally, in a first implementation manner of the second aspect of the present invention, the data processing module includes: a preprocessing unit, used to obtain multiple RFID tag information, the RFID tag information including sensor information, package information and vehicle information associated with the package, aggregating the RFID tag information to form a first data set, preprocessing the first data set to obtain a second data set; a first acquisition unit, used to obtain sensor information, vehicle information and package information from the second data set, and obtain package location data based on the sensor information, vehicle information and package information; a labeling unit, used to obtain map information, label the map information based on the package location data and package information, and output the map information.

[0014] Optionally, in a second implementation of the second aspect of the present invention, the first acquisition unit includes: an acquisition subunit, used to acquire sensor information, vehicle information and package information from the second data set, the sensor information including a sensor number and sensor location data, the vehicle information including a vehicle number and vehicle location data, and the package information including a waybill number and package status information; a judgment subunit, used to judge whether the vehicle location data is similar to the sensor location data to obtain a judgment result; a first processing subunit, used to use the sensor location data as the package location data if the judgment result is that the vehicle location data is similar to the sensor location data; and a second processing subunit, used to use the vehicle location data as the package location data if the judgment result is that the vehicle location data is not similar to the sensor location data.

[0015] Optionally, in a third implementation method of the second aspect of the present invention, the route planning module includes: a second acquisition unit, used to acquire vehicle location data based on vehicle information, and acquire a pre-planned vehicle distribution plan based on the vehicle information, wherein the vehicle distribution plan includes a distribution location; a first calculation unit, used to acquire real-time traffic data, and use a genetic algorithm to calculate the distribution route based on the real-time traffic data, the distribution location and the vehicle location data to obtain a first driving route; a second calculation unit, used to acquire weather forecast data, and adjust the first driving route based on the weather forecast data to obtain a second driving route.

[0016] Optionally, in a fourth implementation method of the second aspect of the present invention, the filling planning module includes: a calculation submodule, which is used to calculate the real-time loading capacity of the vehicle according to the vehicle information and the package information, obtain the pre-established filling standard and vehicle driving information, and calculate whether the vehicle meets the filling standard requirements according to the vehicle information, the real-time loading capacity of the vehicle and the vehicle driving information to obtain a calculation result; a matching submodule, which is used to obtain the delivery route of the vehicle if the calculation result is that the vehicle meets the filling standard requirements, and match the outlets according to the delivery route to obtain a matching result; and an adjustment submodule, which is used to adjust the delivery route according to the matching result to obtain a filling plan.

[0017] Optionally, in a fifth implementation of the second aspect of the present invention, the calculation submodule includes: a third calculation unit, used to obtain vehicle information and package information associated with the vehicle information, the package information including package volume and package weight, and calculate the real-time load of the vehicle based on the package volume and package weight; a fourth calculation unit, used to obtain the vehicle's rated load and vehicle type from the vehicle information, and calculate the vehicle's free load based on the vehicle's rated load, vehicle type and the vehicle's real-time load; a fifth calculation unit, used to obtain pre-established filling standards and vehicle driving information, and calculate whether the vehicle meets the requirements of the filling standards based on the vehicle information, the vehicle's free load and the vehicle driving information to obtain a calculation result.

[0018] Optionally, in a sixth implementation of the second aspect of the present invention, the matching submodule includes: a search unit, which is used to obtain the delivery route of the vehicle if the calculation result is that the vehicle meets the requirements of the filling standard, and search for qualified outlets according to pre-set matching rules to obtain a preliminary screening result; a judgment unit, which is used to obtain the package delivery demand of each outlet in the preliminary screening result, and judge whether the package delivery demand of the outlet is compatible with the delivery route of the vehicle according to the filling standard to obtain an adaptation result; a summary unit, which is used to include the outlet in the re-screening result if the package delivery demand of the outlet is compatible with the delivery route of the vehicle; a sorting unit, which is used to sort the outlets in the re-screening result according to the urgency of the package delivery, obtain a sorting result, and calculate the matching result of the delivery route and the outlet according to the sorting result.

[0019] A third aspect of the present invention provides an express parcel in-transit monitoring and management device, comprising a memory and at least one processor, wherein the memory stores computer-readable instructions; the at least one processor calls the computer-readable instructions in the memory to execute the various steps of the express parcel in-transit monitoring and management method as described above.

[0020] A fourth aspect of the present invention provides a computer-readable storage medium having computer-readable instructions stored thereon, which, when executed by a processor, implement the various steps of the express parcel in-transit monitoring and management method as described above.

[0021] Beneficial effect: The present invention provides a method for monitoring and managing express parcels in transit. The method first obtains and summarizes information from multiple RFID tags to form a first data set, extracts vehicle information and parcel information from the first data set, and uses RFID tag technology to timely obtain parcel information for tracking. Then, vehicle location data and real-time traffic data are obtained based on the vehicle information, and the delivery route is calculated based on the real-time traffic data and the vehicle location data, thereby continuously optimizing the driving route and improving the delivery efficiency. Finally, the real-time loading capacity of the vehicle is calculated based on the vehicle information and the parcel information, and a filling plan is planned based on the real-time loading capacity of the vehicle and the delivery route. By combining the parcel information and the vehicle information, a filling plan is formulated in a timely manner, so that the utilization rate of the vehicle is higher, the transportation planning is more effective, and the logistics transportation efficiency is comprehensively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A first flow chart of the method for monitoring and managing express parcels in transit provided by an embodiment of the present invention;

[0023] Figure 2 A second flow chart of the method for monitoring and managing express parcels in transit provided by an embodiment of the present invention;

[0024] Figure 3 A third flow chart of the method for monitoring and managing express parcels in transit provided by an embodiment of the present invention;

[0025] Figure 4 A fourth flow chart of the method for monitoring and managing express parcels in transit provided by an embodiment of the present invention;

[0026] Figure 5 A fifth flow chart of the express parcel in-transit monitoring and management method provided by an embodiment of the present invention;

[0027] Figure 6 A sixth flow chart of the express parcel in-transit monitoring and management method provided by an embodiment of the present invention;

[0028] Figure 7 A seventh flow chart of the express parcel in-transit monitoring and management method provided by an embodiment of the present invention;

[0029] Figure 8 A schematic diagram of the structure of the express package in-transit monitoring and management device provided by an embodiment of the present invention;

[0030] Fig. 9 Another structural schematic diagram of the express package in-transit monitoring and management device provided by an embodiment of the present invention;

[0031] Fig.10 A schematic diagram of the structure of an express package in-transit monitoring and management device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The present invention provides a method, device, equipment and storage medium for monitoring and managing express parcels in transit. The present invention first obtains and aggregates multiple RFID tag information to form a first data set, then extracts vehicle information and parcel information from the first data set, and combines RFID tag technology to obtain status information and location information during the parcel transportation process, so that customers can track it in time; then obtains vehicle location data based on vehicle information, obtains real-time traffic data, calculates the delivery route based on real-time traffic data and vehicle location data, and avoids congested sections by combining real-time traffic data, reduces transportation time, and improves vehicle efficiency; finally, calculates the real-time vehicle loading capacity based on the vehicle information and parcel information, and plans a filling plan based on the real-time vehicle loading capacity and the delivery route, so that the vehicle can adjust the filling plan based on the real-time loading capacity, increase the delivery tasks to the outlets along the transportation line, thereby improving vehicle efficiency and helping to speed up the transportation of parcels.

[0033] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0034] See also Figure 1 The first embodiment of the method for monitoring and managing express parcels in transit in the embodiment of the present invention includes:

[0035] S101. Acquire and aggregate multiple RFID tag information to form a first data set, and extract vehicle information and package information from the first data set;

[0036] In this embodiment, RFID tags can be used to timely feedback the transportation status of the package. Among them, passive RFID tags have lower costs, but shorter reading distances; active RFID tags have longer reading distances, but higher costs. In actual use, the appropriate label type can be selected according to factors such as the size, value, and transportation distance of the express package, and the basic information of the package can be written into the RFID tag using a label printer, and then the RFID tag can be attached to the express package. The label contains basic information about the package, such as the waybill number, sender, recipient, etc. When obtaining RFID tag information, it is necessary to deploy sensors in advance at important nodes, such as warehouses, transfer stations, transport vehicles, etc., to collect the status information of the package.

[0037] The RFID tag information of this embodiment includes not only the information collected by the RFID tag, but also the vehicle information of the transported package. By summarizing the above information, it can be known which packages are transported by each vehicle and which sensor collected the RFID tag information of the package.

[0038] S102. Obtain vehicle location data based on vehicle information, obtain real-time traffic data, and calculate the delivery route based on real-time traffic data and vehicle location data;

[0039] Real-time traffic data can be used to predict and avoid congested roads, reducing the waiting time of vehicles on the road. Based on the vehicle location and real-time traffic data, the optimal driving route can be calculated so that the vehicle can reach the destination more quickly. By optimizing the delivery route, the delivery time can be shortened so that customers can receive the goods faster.

[0040] S103. Calculate the real-time vehicle loading capacity according to the vehicle information and the package information, and plan a filling plan according to the real-time vehicle loading capacity and the delivery route.

[0041] By comprehensively considering vehicle information and package information, the real-time loading volume of the vehicle can be accurately calculated to ensure that the amount of goods loaded on the vehicle neither exceeds its carrying capacity nor wastes space. Based on the real-time loading volume and delivery route, the loading sequence and spatial layout of the goods can be reasonably planned to make full use of the vehicle space. By optimizing the loading plan and spatial layout, unnecessary transportation times can be reduced and transportation costs can be reduced.

[0042] See also Figure 2 The second embodiment of the express package in-transit monitoring and management method in the embodiment of the present invention includes:

[0043] S201. Acquire multiple RFID tag information, the RFID tag information includes sensor information, package information, and vehicle information associated with the package, aggregate the RFID tag information to form a first data set, pre-process the first data set, and acquire a second data set;

[0044] Specifically, the package information in the RFID tag information includes temperature, humidity data, etc. The aggregated first data set is preprocessed to ensure the accuracy, completeness and availability of the data.

[0045] Preprocessing includes the following steps: Check whether the data in the first data set is missing, wrong or repeated. For missing data, try to supplement or interpolate through other means, correct or delete wrong data, and remove duplicate data; Data conversion and standardization: convert the data in the first data set into a format suitable for subsequent analysis or processing, and standardize the data to ensure that data from different sources or in different formats can be compared and analyzed. If necessary, integrate the data in the first data set to form a more complete and coherent data set. For the vehicle information associated with the package, associate it to ensure that each package can match its corresponding vehicle information.

[0046] S202. Obtain sensor information, vehicle information and package information from the second data set, and obtain package location data based on the sensor information, vehicle information and package information;

[0047] The second data set contains the RFID tag information after cleaning, conversion, standardization and integration, with higher data quality and easier for subsequent analysis and processing. Based on the sensor information, vehicle information and package information in the second data set, the package location data can be calculated, so that the location of the package can be accurately tracked and feedback can be provided.

[0048] S203. Obtain map information, annotate the map information according to the package location data and the package information, and output the map information.

[0049] By marking the package location and package information (such as temperature and humidity) on the map, customers can intuitively understand the location of the package, thereby improving their satisfaction with logistics transportation. In addition, based on the map information, it is also convenient for managers to monitor, track and manage logistics packages.

[0050] See also Figure 3 The third embodiment of the express package in-transit monitoring and management method in the embodiment of the present invention includes:

[0051] S301. Obtain sensor information, vehicle information and package information from the second data set, wherein the sensor information includes a sensor number and sensor location data, the vehicle information includes a vehicle number and vehicle location data, and the package information includes a waybill number and package status information;

[0052] Package information is uploaded to the system through the node's sensor. Therefore, each newly acquired package information will be associated with the sensor information of a certain node. In addition, when the package is unloaded from the vehicle, the package is no longer associated with the vehicle information. By continuously acquiring new RFID tag information, in addition to knowing the package status information, the transportation status of the package can also be known.

[0053] S302. Determine whether the vehicle position data is close to the sensor position data to obtain a determination result;

[0054] Specifically, in this embodiment, the situation where the vehicle is not equipped with sensors is mainly targeted, and sensors are only installed in fixed places such as outlets and warehouses. In response to this situation, it is necessary to formulate judgment rules in advance so that the system can automatically determine whether the vehicle location data is close to the sensor location data. For example: the vehicle location data and the sensor location data both have specific coordinate data. By stipulating that when the difference range of the two horizontal and vertical coordinates does not exceed a specific value, the vehicle location data and the sensor location data are considered to be close and are considered to be in the same location; when the difference range of the two horizontal and vertical coordinates exceeds a specific value, the vehicle location data and the sensor location data are considered to be far apart and are considered to be not in the same location.

[0055] S303. If the judgment result is that the vehicle location data is close to the sensor location data, the sensor location data is used as the package location data;

[0056] When the vehicle location data is close to the sensor location data, it means that the transport vehicle has arrived at the relevant node, such as an outlet, transfer station, warehouse, etc., so that customers and managers can be informed that the package has arrived at the transport node.

[0057] S304. If the judgment result is that the vehicle location data is not similar to the sensor location data, the vehicle location data is used as the package location data.

[0058] If the vehicle location data is close to the sensor location data, it means that the transport vehicle has left the node where the sensor is installed. If the package has been unloaded from the transport vehicle, the package information in the data obtained by the system will no longer be associated with the vehicle information. Otherwise, it means that the package is still on the transport vehicle. At this time, if the sensor location data is used to reflect the package location, it will be inaccurate. If the active RFID tag has a long reading distance, if the sensor location data is used to reflect the package location, there will be a large error. This embodiment can effectively increase the accuracy of package positioning.

[0059] When the vehicle is equipped with sensors, this embodiment is also applicable. For example, the information of the active RFID tag may be uploaded by the sensor on the vehicle and the sensor at the network point at the same time, which will cause the problem of unclear location. This embodiment can solve this problem.

[0060] See also Figure 4 The fourth embodiment of the method for monitoring and managing express parcels in transit in the embodiment of the present invention includes:

[0061] S401. Acquire vehicle location data according to vehicle information, and acquire a pre-planned vehicle delivery plan according to the vehicle information, wherein the vehicle delivery plan includes a delivery location;

[0062] Each transport vehicle has its own vehicle distribution plan, including the starting point, distribution location, itinerary route, departure time, estimated arrival time, etc.

[0063] S402 obtains real-time traffic data, uses a genetic algorithm, calculates the delivery route based on real-time traffic data, delivery locations, and vehicle location data, and obtains a first driving route;

[0064] Genetic algorithms originated from computer simulation research on biological systems. They simulate phenomena such as replication, crossover, and mutation that occur in natural selection and inheritance. Starting from any initial population, through random selection, crossover, and mutation operations, a group of individuals that are more suitable for the environment are generated, allowing the group to evolve to better and better areas in the search space. In this way, generations of evolution continue to multiply and finally converge to a group of individuals that are most adapted to the environment, thereby obtaining a high-quality solution to the problem. The principles of genetic algorithms are highly compatible with the principles of route planning. Therefore, genetic algorithms can effectively calculate the optimal first driving route.

[0065] S403. Obtain weather forecast data, adjust the first driving route according to the weather forecast data, and obtain a second driving route.

[0066] In addition to being affected by traffic congestion, vehicle travel is also affected by the weather. For example, heavy rain and snowfall will affect vehicle travel. For warnings of heavy rain and snow in local areas, planning can be done in advance to avoid them to improve transportation safety. For long-distance transportation, adjusting the waypoints will not have a significant impact on the overall transportation time. By comprehensively considering multiple factors, the optimal driving route can be obtained to improve transportation efficiency.

[0067] See also Figure 5 The fifth embodiment of the method for monitoring and managing express parcels in transit in the embodiment of the present invention includes:

[0068] S501. Calculate the real-time loading volume of the vehicle according to the vehicle information and the package information, obtain the pre-established filling standard and the vehicle driving information, and calculate whether the vehicle meets the filling standard according to the vehicle information, the real-time loading volume of the vehicle and the vehicle driving information to obtain the calculation result;

[0069] Specifically, vehicle driving information includes the time when the vehicle leaves the outlet or warehouse, the number of times the goods are loaded, etc. The above information will affect whether the vehicle meets the requirements of the filling standard. For example, the same vehicle will not be scheduled to fill the warehouse multiple times. And by limiting the time when the vehicle leaves the outlet or warehouse, it is possible to avoid repeatedly arranging vehicles to the same location to load goods.

[0070] Specific conditions that meet the filling standards may include: the specified departure time is half an hour later; the time limit is half an hour later; the vehicle lock scan has been done within 5 minutes of the current time; and the same province, tail-off, return logistics, cold chain, etc. are excluded. The time range of the freight bill takes the earliest time.

[0071] S502. If the calculation result is that the vehicle meets the requirements of the filling standard, obtain the vehicle's delivery route, match the outlets according to the delivery route to obtain a matching result;

[0072] Specifically, the matching result can be calculated by the following method: for a direct delivery vehicle, if the vehicle's route is from A to B, the data of the outlets between A and B is obtained, and the outlets to be picked up are matched according to the pre-set rules. For example, the minimum distance between the outlet and the original route can be set to no more than 50 kilometers to avoid taking up too much time when loading packages at other outlets in the middle of the journey, thereby reducing delivery efficiency.

[0073] For vehicles with multiple destinations, such as going from A to B first and then from B to C, the unloading data can be obtained through the package information, so as to calculate the loading volume of the vehicle after unloading at B, and then match the outlets on the route from B to C according to the loading residue.

[0074] S503. Adjust the delivery route according to the matching result to obtain a warehouse filling plan.

[0075] When a new outlet is matched, it is equivalent to adding a waypoint. At this time, it is necessary to adjust the driving route according to the waypoint, calculate the loading volume at the waypoint, and form a warehouse filling plan.

[0076] See also Figure 6 The sixth embodiment of the method for monitoring and managing express parcels in transit in the embodiment of the present invention includes:

[0077] S601. Obtain vehicle information and package information associated with the vehicle information, the package information including package volume and package weight, and calculate the real-time vehicle load according to the package volume and package weight;

[0078] Both the volume and weight of the package will affect the vehicle's free load capacity. For example, vans not only have requirements for load weight, but also have strict requirements for load volume. Therefore, when calculating the vehicle's real-time load capacity, both factors need to be considered. For trailer-type non-van trucks, the restrictions on the carrying volume are relatively small, and the load weight is the main consideration.

[0079] S602. Obtain the vehicle's nuclear load and vehicle type from the vehicle information, and calculate the vehicle's free load based on the vehicle's nuclear load, vehicle type, and real-time vehicle load;

[0080] Specifically, the vehicle's rated load includes the rated load weight and the rated load volume to ensure that the vehicle's driving complies with regulations. By counting the total volume and total weight of the packages on the vehicle, the vehicle's free load capacity can be calculated.

[0081] S603. Obtain pre-set filling standards and vehicle driving information, and calculate whether the vehicle meets the filling standards based on the vehicle information, the vehicle's free load capacity and the vehicle driving information to obtain a calculation result.

[0082] Specifically, the filling standard can also include limiting the empty load of the vehicle. For example, if the empty load (weight) of a van with a rated load of 1.5 tons is less than 0.5 tons, it does not meet the filling standard. Different limiting standards should be set for trucks with different rated loads. In addition, for vans, the empty load (volume) of the vehicle also needs to be considered. If either of the two does not meet the requirements, it does not meet the filling standard.

[0083] See also Figure 7 The seventh embodiment of the express package in-transit monitoring and management method in the embodiment of the present invention includes:

[0084] S701. If the calculation result is that the vehicle meets the requirements of the filling standard, obtain the vehicle's delivery route, and find the outlets that meet the requirements according to the pre-set matching rules to obtain the initial screening results;

[0085] Specifically, the matching rules include the newly added distance of the vehicle's travel to and from nearby outlets. If the distance is too large, it does not comply with the regulations. The distance can be set according to actual conditions to avoid excessively increasing the vehicle's transportation time and to balance the vehicle's utilization efficiency and the package transportation time.

[0086] S702. Obtain the parcel delivery demand of each outlet in the initial screening results, determine whether the parcel delivery demand of the outlet is compatible with the delivery route of the vehicle according to the filling standard, and obtain the adaptation result;

[0087] After obtaining nearby outlets along the way, these outlets need to be further screened. If the vehicle is driving from A to B, the outlets can only adapt if there are packages that need to be transported to direction B.

[0088] S703. If the parcel delivery demand of the outlet is compatible with the delivery route of the vehicle, the outlet is included in the re-screening result;

[0089] If the parcel delivery demand of the outlet is compatible with the vehicle's delivery route, it will be included in the shortlist, which may include multiple outlets.

[0090] S704. Sort the outlets in the re-screening result according to the delivery urgency of the package to obtain a sorting result, and calculate the matching result of the delivery route and the outlets according to the sorting result.

[0091] When calculating specifically, you can prioritize vehicles for transporting packages with a higher degree of urgency. For example, packages that are closer to the agreed delivery time have a higher degree of urgency. The urgency of packages can also be set based on other rules.

[0092] The above describes the express parcel in-transit monitoring and management method in the embodiment of the present invention. The following describes the express parcel in-transit monitoring and management device in the embodiment of the present invention. Figure 8 In one embodiment of the present invention, an embodiment of the express package in-transit monitoring and management device includes:

[0093] A data processing module 10 is used to obtain and aggregate information of multiple RFID tags to form a first data set, and extract vehicle information and package information from the first data set;

[0094] The route planning module 20 is used to obtain vehicle location data according to vehicle information, obtain real-time traffic data, and calculate the delivery route according to the real-time traffic data and vehicle location data;

[0095] The filling planning module 30 is used to calculate the real-time loading capacity of the vehicle according to the vehicle information and the package information, and plan the filling plan according to the real-time loading capacity of the vehicle and the delivery route.

[0096] See also Fig. 9 In one embodiment of the present invention, an embodiment of the express package in-transit monitoring and management device includes:

[0097] A data processing module 10 is used to obtain and aggregate information of multiple RFID tags to form a first data set, and extract vehicle information and package information from the first data set;

[0098] The route planning module 20 is used to obtain vehicle location data according to vehicle information, obtain real-time traffic data, and calculate the delivery route according to the real-time traffic data and vehicle location data;

[0099] A filling planning module 30 is used to calculate the real-time loading capacity of the vehicle according to the vehicle information and the package information, and plan a filling plan according to the real-time loading capacity of the vehicle and the delivery route;

[0100] In this embodiment, the data processing module 10 includes:

[0101] A preprocessing unit 11 is used to obtain multiple RFID tag information, wherein the RFID tag information includes sensor information, package information, and vehicle information associated with the package, aggregate the RFID tag information to form a first data set, and preprocess the first data set to obtain a second data set;

[0102] A first acquisition unit 12, configured to acquire sensor information, vehicle information and package information from the second data set, and acquire package location data according to the sensor information, vehicle information and package information;

[0103] A marking unit 13, used to obtain map information, mark the map information according to the package location data and the package information, and output the map information;

[0104] In this embodiment, the first acquiring unit 12 includes:

[0105] an acquisition subunit 121, configured to acquire sensor information, vehicle information and package information from the second data set, wherein the sensor information includes a sensor number and sensor location data, the vehicle information includes a vehicle number and vehicle location data, and the package information includes a waybill number and package status information;

[0106] The judging subunit 122 is used to judge whether the vehicle position data is close to the sensor position data to obtain a judgment result;

[0107] The first processing sub-unit 123 is configured to use the sensor position data as the package position data if the judgment result shows that the vehicle position data is close to the sensor position data;

[0108] The second processing sub-unit 124 is used to use the vehicle position data as the package position data if the judgment result is that the vehicle position data is not similar to the sensor position data;

[0109] In this embodiment, the route planning module 20 includes:

[0110] A second acquisition unit 21 is used to acquire vehicle location data according to the vehicle information, and acquire a vehicle delivery plan planned in advance according to the vehicle information, wherein the vehicle delivery plan includes a delivery location;

[0111] A first calculation unit 22 is used to obtain real-time traffic data, and use a genetic algorithm to calculate a delivery route according to the real-time traffic data, the delivery location, and the vehicle location data to obtain a first driving route;

[0112] The second calculation unit 23 is used to obtain weather forecast data, and adjust the first driving route according to the weather forecast data to obtain a second driving route;

[0113] In this embodiment, the filling planning module 30 includes:

[0114] A calculation submodule 31 is used to calculate the real-time loading volume of the vehicle according to the vehicle information and the package information, obtain the pre-set filling standard and the vehicle driving information, and calculate whether the vehicle meets the filling standard according to the vehicle information, the real-time loading volume of the vehicle and the vehicle driving information to obtain a calculation result;

[0115] A matching submodule 32 is used to obtain a delivery route of the vehicle if the calculation result shows that the vehicle meets the requirements of the filling standard, and match the outlets according to the delivery route to obtain a matching result;

[0116] An adjustment submodule 33, for adjusting the delivery route according to the matching result to obtain a warehouse filling plan;

[0117] In this embodiment, the calculation submodule 31 includes:

[0118] The third calculation unit 311 is used to obtain vehicle information and package information associated with the vehicle information, wherein the package information includes package volume and package weight, and calculate the real-time loading capacity of the vehicle according to the package volume and package weight;

[0119] The fourth calculation unit 312 is used to obtain the vehicle's rated load and vehicle type from the vehicle information, and calculate the vehicle's free load according to the vehicle's rated load, vehicle type and vehicle's real-time load;

[0120] A fifth calculation unit 313 is used to obtain a pre-set filling standard and vehicle driving information, and calculate whether the vehicle meets the filling standard according to the vehicle information, the vehicle's free load and the vehicle driving information to obtain a calculation result;

[0121] In this embodiment, the matching submodule 32 includes:

[0122] A search unit 321 is used to obtain a delivery route of the vehicle if the calculation result shows that the vehicle meets the requirements of the filling standard, and to search for a qualified outlet according to a preset matching rule to obtain a preliminary screening result;

[0123] A judgment unit 322 is used to obtain the parcel delivery demand of each network point in the initial screening result, and judge whether the parcel delivery demand of the network point is compatible with the delivery route of the vehicle according to the filling standard to obtain the adaptation result;

[0124] A summarizing unit 323 is used to include the outlet in the re-screening result if the parcel delivery demand of the outlet is compatible with the delivery route of the vehicle;

[0125] The sorting unit 324 is used to sort the outlets in the re-screening result according to the delivery urgency of the package to obtain the sorting result, and calculate the matching result of the delivery route and the outlets according to the sorting result.

[0126] The express package in-transit monitoring and management device of the present invention first obtains and summarizes multiple RFID tag information to form a first data set, so that the vehicle information and package information extracted from the first data set are more reliable and more convenient for subsequent further use; then, the vehicle location data and real-time traffic data are obtained according to the vehicle information, and the delivery route is calculated according to the real-time traffic data and the vehicle location data, so that the delivery route is effectively optimized, which can reduce the congestion encountered by vehicles on the road, so that the package can be delivered to the designated place faster, the waiting time of customers can be reduced, and the customer satisfaction can be improved; finally, the real-time loading capacity of the vehicle is calculated according to the vehicle information and the package information, and the filling plan is planned according to the real-time loading capacity of the vehicle and the delivery route, which can effectively improve the utilization efficiency of the vehicle, save the transportation cost and labor cost of the package as a whole, and make the package delivered faster.

[0127] The above is a detailed description of the express parcel in-transit monitoring and management device in the embodiment of the present invention from the perspective of modular functional entities. The following is a detailed description of the express parcel in-transit monitoring and management device in the embodiment of the present invention from the perspective of hardware processing.

[0128] Fig.10A schematic diagram of the structure of an express package in-transit monitoring and management device provided in an embodiment of the present invention, the express package in-transit monitoring and management device 900 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 910 (for example, one or more processors) and a memory 920, and one or more storage media 930 (for example, one or more mass storage devices) storing application programs 933 or data 932. Among them, the memory 920 and the storage medium 930 can be temporary storage or permanent storage. The program stored in the storage medium 930 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the express package in-transit monitoring and management device 900. Furthermore, the processor 910 can be configured to communicate with the storage medium 930, and execute a series of instruction operations in the storage medium 930 on the express package in-transit monitoring and management device 900 to implement the steps of the express package in-transit monitoring and management method provided in the above-mentioned method embodiments.

[0129] The express package in-transit monitoring and management device 900 may also include one or more power supplies 940, one or more wired or wireless network interfaces 950, one or more input and output interfaces 960, and / or one or more operating systems 931, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Fig.10 The structure of the express parcel in-transit monitoring and management equipment shown does not constitute a limitation of the express parcel in-transit monitoring and management equipment, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0130] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the method for monitoring and managing express parcels in transit.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the equipment or device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0132] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0133] It is understandable that those skilled in the art can make equivalent substitutions or changes based on the technical solution and inventive concept of the present invention, and all these changes or substitutions should fall within the protection scope of the claims attached to the present invention.

Claims

1. A method for monitoring and managing express parcels in transit, characterized in that: The steps include: Acquire and aggregate multiple RFID tag information to form a first data set, and extract vehicle information and package information from the first data set; Obtain vehicle location data based on vehicle information, obtain real-time traffic data, and calculate the delivery route based on the real-time traffic data and vehicle location data; The real-time loading capacity of the vehicle is calculated based on the vehicle information and the package information, and a filling plan is planned based on the real-time loading capacity of the vehicle and the delivery route.

2. The method for monitoring and managing express parcels in transit according to claim 1, characterized in that: The obtaining and aggregating the information of multiple RFID tags to form a first data set, and extracting the vehicle information and the package information from the first data set specifically includes: Acquire multiple RFID tag information, wherein the RFID tag information includes sensor information, package information, and vehicle information associated with the package, aggregate the RFID tag information to form a first data set, pre-process the first data set, and acquire a second data set; Acquire sensor information, vehicle information, and package information from the second data set, and acquire package location data based on the sensor information, vehicle information, and package information; Obtain map information, annotate the map information according to the package location data and package information, and output the map information.

3. The method for monitoring and managing express parcels in transit according to claim 2, characterized in that: The acquiring sensor information, vehicle information and package information from the second data set, and acquiring package location data according to the sensor information, vehicle information and package information specifically includes: Acquire sensor information, vehicle information and package information from the second data set, wherein the sensor information includes a sensor number and sensor location data, the vehicle information includes a vehicle number and vehicle location data, and the package information includes a waybill number and package status information; Determine whether the vehicle position data is close to the sensor position data to obtain a determination result; If the judgment result is that the vehicle location data is close to the sensor location data, the sensor location data is used as the package location data; If the judgment result is that the vehicle location data is not close to the sensor location data, the vehicle location data is used as the package location data.

4. The express package in-transit monitoring and management method according to claim 1 is characterized in that: The method of obtaining vehicle location data according to vehicle information, obtaining real-time traffic data, and calculating a delivery route according to the real-time traffic data and vehicle location data specifically includes: Acquire vehicle location data based on the vehicle information, and acquire a pre-planned vehicle delivery plan based on the vehicle information, wherein the vehicle delivery plan includes a delivery location; Acquire real-time traffic data, use a genetic algorithm to calculate a delivery route based on the real-time traffic data, the delivery location, and the vehicle location data, and obtain a first driving route; Acquire weather forecast data, adjust the first driving route according to the weather forecast data, and obtain a second driving route.

5. The method for monitoring and managing express parcels in transit according to claim 1, characterized in that: The calculating the real-time loading volume of the vehicle according to the vehicle information and the package information, and planning the filling plan according to the real-time loading volume of the vehicle and the delivery route specifically includes: Calculate the real-time loading volume of the vehicle according to the vehicle information and the package information, obtain the pre-set filling standard and vehicle driving information, and calculate whether the vehicle meets the filling standard according to the vehicle information, the real-time loading volume of the vehicle and the vehicle driving information to obtain a calculation result; If the calculation result shows that the vehicle meets the requirements of the filling standard, the delivery route of the vehicle is obtained, and the outlets are matched according to the delivery route to obtain a matching result; The delivery route is adjusted according to the matching results to obtain a warehouse filling solution.

6. The method for monitoring and managing express parcels in transit according to claim 5, characterized in that: The calculating of the real-time loading volume of the vehicle according to the vehicle information and the package information, obtaining the pre-set filling standard and the vehicle driving information, and calculating whether the vehicle meets the filling standard according to the vehicle information, the real-time loading volume of the vehicle and the vehicle driving information to obtain the calculation result specifically include: Acquire vehicle information and package information associated with the vehicle information, wherein the package information includes package volume and package weight, and calculate the real-time loading capacity of the vehicle according to the package volume and package weight; Obtain the vehicle's rated load and vehicle type from the vehicle information, and calculate the vehicle's free load based on the vehicle's rated load, vehicle type, and real-time vehicle load; The pre-determined filling standard and vehicle driving information are obtained, and whether the vehicle meets the filling standard is calculated according to the vehicle information, the vehicle's free load and the vehicle driving information to obtain a calculation result.

7. The method for monitoring and managing express parcels in transit according to claim 5, characterized in that: If the calculation result shows that the vehicle meets the requirements of the filling standard, the delivery route of the vehicle is obtained, and the outlets are matched according to the delivery route to obtain a matching result, specifically including: If the calculation result shows that the vehicle meets the requirements of the filling standard, the delivery route of the vehicle is obtained, and the outlets that meet the requirements are found according to the pre-set matching rules to obtain the initial screening results; Obtain the parcel delivery demand of each outlet in the initial screening results, determine whether the parcel delivery demand of the outlet is compatible with the delivery route of the vehicle based on the filling standard, and obtain the adaptation result; If the parcel delivery demand of the outlet is compatible with the delivery route of the vehicle, the outlet will be included in the re-screening results; The outlets in the re-screening result are sorted according to the delivery urgency of the package to obtain a sorting result, and a matching result between the delivery route and the outlets is calculated based on the sorting result.

8. A device for monitoring and managing express parcels in transit, characterized in that: include: A data processing module, used for acquiring and aggregating information of multiple RFID tags to form a first data set, and extracting vehicle information and package information from the first data set; The route planning module is used to obtain vehicle location data and real-time traffic data based on vehicle information, and calculate the delivery route based on the real-time traffic data and vehicle location data; The filling planning module is used to calculate the real-time loading capacity of the vehicle according to the vehicle information and the package information, and plan the filling plan according to the real-time loading capacity of the vehicle and the delivery route.

9. A device for monitoring and managing express parcels in transit, characterized in that: comprising a memory and at least one processor, wherein the memory has computer-readable instructions stored therein; The at least one processor calls the computer-readable instructions in the memory to execute the various steps of the express package in-transit monitoring and management method as described in any one of claims 1-7.

10. A computer-readable storage medium having computer-readable instructions stored thereon, characterized in that: When the computer-readable instructions are executed by the processor, the various steps of the express package in-transit monitoring and management method as described in any one of claims 1-7 are implemented.

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