Intelligent stowage system for whole vehicle logistics transportation

Abstract

The invention discloses a whole vehicle logistics transportation intelligent stowage system, and relates to the technical field of logistics transportation, and the system comprises a data collection module which is used for collecting the feature information of goods and vehicles. Real-time information of vehicles and goods is stored through the arranged storage module, in the transportation process, firstly, goods information and vehicle information are sequentially input through the data acquisition module, the goods information and the vehicle information are monitored in real time through the goods monitoring module, and the goods and the vehicles meeting the requirement standard are input into the storage module; after the information of the vehicles and the cargos enters the stowage module, determining a vehicle combination according to a set rule, sorting the vehicles in the combination according to the preset rule, and storing the sorted vehicles in the stowage module in the stowage module; and the maximization of the transportation efficiency and the minimization of the cost are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics and transportation, and in particular to an intelligent loading system for whole vehicle logistics and transportation. Background Art

[0002] Loading refers to making full use of the load capacity and volume of the transport vehicle, adopting advanced loading methods, and rationally arranging the loading of goods. Generally speaking, the simplest principle of loading is to match light and heavy goods. That is to say, heavy goods are used as the bottom to make full use of the load capacity of the transport vehicle, and light and bulky goods are matched to make full use of its available space volume.

[0003] In the process of logistics transportation, we must first understand the type, size, weight and special requirements of the goods to ensure installation and loading, and then consider the load capacity, volume, shape and applicability of the transport vehicle. Through algorithms or experience, determine the best way to place the goods on the transport vehicle to achieve maximum space utilization, and reasonably distribute the weight of the goods to avoid overloading, ensure the balance of the transport vehicle, and prevent instability during transportation. We must also consider the starting and end points of the goods, as well as possible transfer points, plan the most economical transportation route, and ensure that the loading plan can meet the time window based on the delivery time requirements of the goods. Evaluate the risks that may be encountered during transportation and formulate corresponding response measures.

[0004] At present, most distribution centers still rely on experience to load and assemble goods and vehicles in the actual operation process. The operation process of transporting goods to vehicles is also carried out based on manual experience. It is impossible to choose the best solution, resulting in repeated loading and unloading of goods, illegal and irregular loading, and a certain degree of risk. In order to save time, some companies use the order of arrival of goods to place them. However, this method requires a lot of manpower, material resources and time to accurately obtain the required goods during transportation and packing, and wastes a lot of time costs in actual business. Relying on this original loading method cannot meet the requirements of market development, and most of the goods have been assembled according to the model, weight and volume of goods before leaving the departure station. However, part of the assembled goods have been removed when the transport vehicle leaves the transfer station, resulting in a high empty rate of the vehicle when leaving the transfer station, and there is a problem of low cargo loading rate, which cannot ensure the maximization of transportation efficiency and the minimization of costs. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent loading system for whole vehicle logistics transportation to solve the problems raised in the above-mentioned background technology.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0007] An intelligent loading system for whole vehicle logistics transportation includes a data acquisition module for collecting characteristic information of goods and vehicles; the characteristic information includes weight information and volume information of the goods, route information and remaining space information of the vehicle;

[0008] Storage module; used to store characteristic information of goods and vehicles;

[0009] Loading module: used to arrange cargo loading reasonably with high efficiency and low cost;

[0010] The vehicle and cargo scheduling module is used to effectively match cargo with transport vehicles and plan reasonable transportation routes.

[0011] A further improvement of the technical solution of the present invention is that the storage module includes vehicle information and cargo information, and is used to store real-time information of the vehicle and the cargo.

[0012] The above-mentioned technical solution is adopted, in which real-time information of vehicles and goods is stored through a storage module. During the transportation process, the information of the goods and the vehicle is first entered in sequence through the above-mentioned data acquisition module, and the information of both is monitored in real time through the cargo monitoring module, and the goods and vehicles that meet the required standards are entered into the storage module.

[0013] A further improvement of the technical solution of the present invention is that: the loading module includes a vehicle assembly unit, which dispatches vehicles to work according to vehicle information;

[0014] The vehicle sequence arrangement unit arranges the vehicles according to the set rules after the vehicles are combined;

[0015] The calculation module calculates whether the vehicle and cargo are matched during transportation and the revenue situation.

[0016] The above technical solution is adopted. In this solution, when the information of vehicles and cargo enters the loading module, including the vehicle model, freight rate, distance between the vehicle and cargo, driver conditions, and volume, shape and weight of the cargo, the vehicle combination is determined according to the set rules in combination with the existing cargo information and vehicle information, and the vehicles in the combination are sorted according to the pre-set rules. It should be noted that the rules for setting vehicle combinations need to give priority to several combinations with the lowest transportation cost, and secondly, the total volume and total weight of the vehicle combination must be greater than the total volume and total weight of the cargo; the rules for setting vehicle sorting need to give priority to models with a volume-to-weight ratio close to the cargo, and secondly, the low-cost or closest vehicle can be selected first.

[0017] It should be noted that during the transportation process, some goods are taken out at the transfer station. At this time, there is still space for loading inside the transport vehicle. Therefore, after the vehicle is dispatched, its type, length, remaining capacity, and the degree of adaptation between the loads are entered into the vehicle information again, and monitored by the vehicle monitoring module. The data is sent to the loading module for re-matching of the vehicle and cargo, reducing the empty rate of the vehicle, increasing the loading rate of the cargo, and ensuring the maximization of transportation efficiency and minimization of costs.

[0018] A further improvement of the technical solution of the present invention is that: the calculation module includes a transportation time storage unit, which considers the benefits of transportation from all aspects;

[0019] The operational capacity calculation unit calculates whether the goods and vehicles are profitable based on their status;

[0020] The profitability calculation unit calculates the final profit based on the matching degree of vehicle and cargo, the freight rate of the vehicle owner and the platform's revenue.

[0021] The above technical solution is adopted, which comprehensively considers the benefits of vehicle owners and platforms to ensure the maximization of transportation efficiency and the minimization of costs.

[0022] A further improvement of the technical solution of the present invention is that: the transport time storage unit includes a vehicle-cargo distance calculation unit for determining the distance between the vehicle and the cargo;

[0023] The route monitoring unit is used to monitor the status of the driving route in real time.

[0024] The above technical solution is adopted, in which the distance between the driver of the transport vehicle and the goods to be transported is calculated by setting up a vehicle-cargo distance calculation unit, thereby taking into account the cost of transporting the goods. For goods that need to be delivered urgently, the nearest truck can be given priority for delivery to ensure that expedited goods can be handled first, and cooperate with the route monitoring unit to select the route that can reach the designated location the fastest.

[0025] A further improvement of the technical solution of the present invention is that: the transport time storage unit also includes a traffic condition monitoring unit for real-time monitoring of the traffic condition of the road surface;

[0026] The weather condition monitoring unit monitors the weather conditions during vehicle transportation.

[0027] The above technical solution is adopted, in which the traffic condition monitoring unit is used to monitor the traffic conditions of the route taken by the transport vehicle driver when going to the source of goods, so that the driver can make timely adjustments to the route to avoid the goods being unable to be delivered on time due to emergencies, which in turn leads to problems such as reduced customer satisfaction, supply chain disruptions and inventory backlogs.

[0028] A further improvement of the technical solution of the present invention is that: the operation capacity calculation unit includes a vehicle operation efficiency monitoring unit for monitoring the driving time, speed and mileage of the vehicle;

[0029] Vehicle operation safety monitoring unit, used to monitor whether there are any illegal operations during vehicle driving;

[0030] The cargo security monitoring unit is used to monitor whether the cargo is lost or damaged.

[0031] The above technical solution is adopted, in which the vehicle operation efficiency monitoring unit is set up to record the transport driver's average daily mileage, average daily driving time and average driving speed, and real-time monitor whether the transport driver has speeding, fatigue driving, making phone calls, lane deviation, traffic accidents and other conditions during driving. At the same time, it is also necessary to monitor whether the goods are lost or damaged during transportation through the cargo safety monitoring unit, so as to communicate with customers in time and minimize losses.

[0032] A further improvement of the technical solution of the present invention is that: the profitability calculation unit includes a vehicle-cargo matching degree monitoring unit for monitoring the matching degree of cargo type, volume, weight and vehicle type, length and capacity;

[0033] The vehicle owner's freight rate calculation unit calculates the vehicle driver's transportation cost;

[0034] The platform revenue calculation unit calculates the revenue obtained by the platform after deducting costs.

[0035] The above technical solution is adopted, in which the degree of vehicle-cargo matching is used to monitor the compatibility between the type, volume, weight of the cargo and the type, length, capacity and load of the vehicle, and then the transportation cost of the transport vehicle driver and the platform's income after deducting various costs are calculated.

[0036] Due to the adoption of the above technical solution, the present invention has the following technical advances compared with the prior art:

[0037] 1. The present invention provides an intelligent loading system for whole vehicle logistics transportation. The real-time information of vehicles and goods is stored through a storage module. During the transportation process, the information of goods and vehicles is firstly input in sequence through the above-mentioned data acquisition module, and the information of both is monitored in real time through the cargo monitoring module, and the goods and vehicles that meet the required standards are input into the storage module. When the information of vehicles and goods enters the loading module, including the vehicle model, freight rate, distance between vehicles and goods, driver conditions, and volume, shape and weight of goods, combined with the existing cargo information and vehicle information, the vehicle combination is determined according to the set rules, and the vehicles in the combination are sorted according to the pre-set rules. It should be noted that the rules set for the vehicle combination need to give priority to several combinations with the lowest transportation cost, and secondly, the total volume and total weight of the vehicle combination must be greater than the total volume and total weight of the goods; the rules set for the vehicle sorting need to give priority to the vehicle model with a volume-to-weight ratio close to the goods, and secondly, the vehicle with the lowest cost or the closest distance can be selected to ensure the maximization of transportation efficiency and the minimization of costs.

[0038] 2. The present invention provides an intelligent loading system for whole vehicle logistics transportation, which calculates the distance between the driver of the transport vehicle and the goods to be transported by setting a vehicle-cargo distance calculation unit, thereby taking into account the cost of transporting the goods. For goods that need to be delivered urgently, the nearest truck can be given priority for delivery to ensure that the urgent goods can be handled first, and cooperate with the route monitoring unit to select the route that can reach the designated location as quickly as possible, and monitor the traffic conditions of the route taken by the driver of the transport vehicle when going to the source of goods, so that the system can make timely adjustments to the route to avoid the failure to deliver the goods on time due to emergencies, thereby causing problems such as decreased customer satisfaction, supply chain interruption and inventory backlog. After the vehicle is dispatched, its type, length, remaining capacity, and the degree of adaptation between the loads are entered into the vehicle information again, and monitored by the vehicle monitoring module, and its data is sent to the loading module for another vehicle-cargo matching, thereby reducing the empty load rate of the vehicle and improving the loading rate of the goods.

[0039] 3. The present invention provides an intelligent loading and unloading system for whole vehicle logistics transportation. The vehicle operation efficiency monitoring unit is set to record the average daily mileage, average daily driving time and average driving speed of the transportation driver, and monitor in real time whether the transportation driver has speeding, fatigue driving, making or receiving phone calls, lane deviation, traffic accidents and the like during driving. At the same time, the cargo safety monitoring unit is also required to monitor whether the cargo is lost or damaged during transportation, so as to communicate with the customer in time and minimize the loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings.

[0041] Figure 1It is the overall structural block diagram of the intelligent loading system for whole vehicle logistics transportation in the present invention;

[0042] Figure 2 It is a structural block diagram of the loading module in the present invention;

[0043] Figure 3 It is a structural block diagram of the operation module in the present invention;

[0044] Figure 4 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0045] The present invention is further described in detail below in conjunction with embodiments:

[0046] Example 1

[0047] like Figure 1 As shown, the present invention provides an intelligent loading system for whole vehicle logistics transportation, including a data acquisition module for collecting characteristic information of goods and vehicles; the characteristic information includes weight information and volume information of the goods, route information and remaining space information of the vehicle;

[0048] Storage module; used to store characteristic information of goods and vehicles;

[0049] Loading module: used to arrange cargo loading reasonably with high efficiency and low cost;

[0050] The vehicle and cargo scheduling module is used to effectively match cargo with transport vehicles and plan reasonable transportation routes.

[0051] In this embodiment, the vehicle information and cargo information are sent to the storage module through the data acquisition module, and then the cargo loading is reasonably arranged with high efficiency and low cost through the loading module, and the information of the remaining cargo in the vehicle is monitored, so as to avoid the transport vehicle taking off a part of the cargo when leaving the transfer station and continuing to drive towards the target location, resulting in a high empty rate of the vehicle when leaving the transfer station and a low cargo loading rate, which cannot ensure the maximization of transportation efficiency and the minimization of costs.

[0052] Example 2

[0053] like Figure 1 As shown, based on Example 1, the present invention provides a technical solution: preferably, the storage module includes vehicle information and cargo information, and is used to store real-time information of the vehicle and the cargo.

[0054] In this embodiment, the real-time information of vehicles and goods is stored by a storage module. During the transportation process, the information of the goods and the vehicle is first entered in sequence through the above-mentioned data acquisition module, and the information of both is monitored in real time through the cargo monitoring module, and the goods and vehicles that meet the required standards are entered into the storage module.

[0055] Example 3

[0056] like Figure 2 and Figure 3 As shown, based on Example 1, the present invention provides a technical solution: preferably, the loading module includes a vehicle assembly unit, which dispatches vehicles to work according to vehicle information;

[0057] The vehicle sequence arrangement unit arranges the vehicles according to the set rules after the vehicles are combined;

[0058] The calculation module calculates whether the vehicle and cargo match each other during transportation and the revenue situation;

[0059] The calculation module includes a transportation time storage unit, which considers the benefits of transportation from all aspects;

[0060] The operational capacity calculation unit calculates whether the goods and vehicles are profitable based on their status;

[0061] The profitability calculation unit calculates the final profit based on the matching degree of vehicle and cargo, the freight rate of the vehicle owner and the platform's revenue.

[0062] In this embodiment, after the information of the vehicle and cargo enters the loading module, including the vehicle model, freight rate, distance between the vehicle and cargo, driver information, and volume, shape, and weight of the cargo, the vehicle combination is determined according to the set rules in combination with the existing cargo information and vehicle information, and the vehicles in the combination are sorted according to the pre-set rules.

[0063] It should be noted that the rules for setting vehicle combinations need to give priority to the combinations with the lowest transportation costs, and secondly, the total volume and total weight of the vehicle combination must be greater than the total volume and total weight of the goods; the rules for setting vehicle sorting need to give priority to models with a volume-to-weight ratio close to the goods, and secondly, you can choose to give priority to low-cost vehicles or vehicles that are closest.

[0064] Example 4

[0065] like Figure 3 As shown, based on Example 1, the present invention provides a technical solution: preferably, the transport time storage unit includes a vehicle-cargo distance calculation unit for determining the distance between the vehicle and the cargo;

[0066] A route monitoring unit, used to monitor the status of the driving route in real time;

[0067] The transport time storage unit also includes a traffic condition monitoring unit for real-time monitoring of the traffic conditions on the road surface;

[0068] Weather condition monitoring unit, monitoring weather conditions during vehicle transportation;

[0069] The distance between the driver of the transport vehicle and the goods to be transported is calculated through the vehicle-cargo distance calculation unit, and the cost of transporting the goods is taken into consideration. For goods that need to be delivered urgently, the nearest truck can be given priority for delivery to ensure that expedited goods are handled first. The route monitoring unit is used to select the route that can reach the designated location as quickly as possible, and the traffic conditions of the route taken by the driver of the transport vehicle when going to the source of goods are monitored so that the route can be adjusted in time to avoid the goods being unable to be delivered on time due to emergencies, which in turn leads to problems such as reduced customer satisfaction, supply chain disruptions and inventory backlogs.

[0070] The operational capability calculation unit includes a vehicle operational efficiency monitoring unit, which is used to monitor the driving time, speed and mileage of the vehicle;

[0071] Vehicle operation safety monitoring unit, used to monitor whether there are any illegal operations during vehicle driving;

[0072] Cargo security monitoring unit, used to monitor whether the cargo is lost or damaged;

[0073] The vehicle operation efficiency monitoring unit is set up to record the transport driver's average daily mileage, average daily driving time and average driving speed, and to monitor in real time whether the transport driver has speeding, fatigue driving, making phone calls, lane departure, traffic accidents and other conditions during driving. At the same time, the cargo safety monitoring unit is also needed to monitor whether the cargo is lost or damaged during transportation, so as to communicate with customers in a timely manner and minimize losses.

[0074] The profitability calculation unit includes a vehicle-cargo matching degree monitoring unit, which is used to monitor the matching degree between cargo type, volume, weight and vehicle type, length and capacity;

[0075] The vehicle owner's freight rate calculation unit calculates the vehicle driver's transportation cost;

[0076] The platform revenue calculation unit calculates the revenue obtained by the platform after deducting costs.

[0077] In this embodiment, the degree of vehicle-cargo matching is used to monitor the compatibility between the type, volume, weight of the cargo and the type, length, capacity, and load of the vehicle, and then calculate the transportation cost of the transport vehicle driver and the platform's revenue after deducting various costs.

[0078] The following is a detailed description of the working principle of the intelligent loading system for whole vehicle logistics transportation.

[0079] like Figure 1-4As shown, first fill in the order information according to the customer's order. The order information includes the departure and destination, the quantity, weight, volume and time requirements of the goods. After the goods information is entered into the data acquisition module, the remaining transport vehicle information is entered into the data acquisition module. At this time, the goods information enters the goods monitoring module, and the volume of the goods is judged in this module. If it meets the set size range, the goods information is entered into the storage module, and the weight of the goods in the storage module is judged. If it meets the set size range, it enters the loading module. Otherwise, the volume of the goods does not meet the set size range, and the goods information does not enter the storage module. If the weight of the goods in the storage module does not meet the set size range, the goods information does not enter. The loading module returns to the storage module. At the same time, the vehicle information is also input from the data acquisition module to the storage module. The real-time information of the vehicle and the cargo is stored in the storage module. During the transportation process, the cargo monitoring module monitors the information of both in real time, and sends the cargo and vehicles that meet the required standards into the loading module, including the vehicle model, freight rate, distance between the vehicle and the cargo, the driver's situation, and the volume, shape and weight of the cargo. Combined with the existing cargo information and vehicle information, the vehicle combination is determined according to the set rules, and the vehicles in the combination are sorted according to the pre-set rules. The rules for setting the vehicle combination need to give priority to the selection of several combinations with the lowest transportation cost, and secondly, the total volume and total weight of the vehicle combination must be greater than the total volume and total weight of the cargo;The rules for setting vehicle sorting need to give priority to models with a volume weight ratio close to that of the goods, and secondly, give priority to low-cost or closest vehicles. The distance between the transport vehicle driver and the goods to be transported is calculated through the set vehicle-cargo distance calculation unit, thereby considering the cost of transporting the goods. For goods that need to be delivered urgently, the nearest truck can be given priority for delivery to ensure that urgent goods can be handled first, and cooperate with the route monitoring unit to select the route that can reach the designated location the fastest, and monitor the traffic conditions of the route taken by the transport vehicle driver when going to the source of goods, so that it can make timely adjustments to the route to avoid accidents caused by emergencies. The vehicle operation efficiency monitoring unit records the average daily mileage, average daily driving time and average driving speed of the transport driver, and monitors in real time whether the transport driver has speeding, fatigue driving, making phone calls, lane deviation, traffic accidents and other conditions during driving. At the same time, the cargo safety monitoring unit is also needed to monitor whether the cargo is lost or damaged during transportation, so as to communicate with customers in time and minimize losses. The vehicle-cargo matching degree is used to monitor the type, volume, weight of the cargo and the type, length, capacity and load of the vehicle, and then calculate the transport vehicle. The transportation cost of the driver and the income of the platform after deducting various costs are then judged by the loading module again to see whether the matching degree of the vehicle and cargo meets the standards. If so, the vehicle dispatch module can be entered to carry out the allocation of vehicles and the loading of goods. Otherwise, the vehicle information will re-enter the vehicle monitoring module to wait for another match. When all the goods to be loaded on the vehicle are fully loaded, the loading and discharging task is completed. At this time, it is necessary to manually match the loading list with the actual loading situation and check the volume and load of the truck to avoid problems such as shortage, overstock, overweight and overcapacity. After verification, the vehicle can be dispatched without relying on employee experience to load and assemble goods and vehicles. After the calculation, the space inside the vehicle can be used to the maximum extent, avoiding the situation where the staff relies on the order of arrival of the goods to place them, resulting in the space not being maximized. Therefore, there is no repeated loading and unloading of goods. It should be noted that during the transportation of the vehicle, some goods are taken out at the transfer station. At this time, there is still space inside the transport vehicle that can be loaded. Therefore, after the vehicle is dispatched, its type, length, remaining capacity, and the degree of adaptation between the loads are entered into the vehicle information again, and monitored by the vehicle monitoring module, and its data is sent to the loading module for another vehicle-cargo matching, reducing the empty load rate of the vehicle, and improving the loading rate of the goods, ensuring the maximization of transportation efficiency and the minimization of costs. ;

[0080] The above generally describes the present invention in detail, but it is obvious to a person skilled in the art that some modifications or improvements can be made to the present invention. Therefore, modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. An intelligent loading system for vehicle logistics transportation, characterized by: It includes a data collection module for collecting characteristic information of goods and vehicles; the characteristic information includes weight information and volume information of goods and route information and remaining space information of vehicles; Storage module; used to store characteristic information of goods and vehicles; Loading module; Used to reasonably arrange cargo loading with high efficiency and low cost; The vehicle and cargo scheduling module is used to effectively match cargo with transport vehicles and plan reasonable transportation routes.

2. According to claim 1, the intelligent loading system for vehicle logistics transportation is characterized by: The storage module includes vehicle information and cargo information, and is used to store real-time information of the vehicle and cargo.

3. The intelligent loading system for whole vehicle logistics transportation according to claim 2 is characterized by: The loading module includes a vehicle assembly unit, which dispatches vehicles to work according to vehicle information; The vehicle sequence arrangement unit arranges the vehicles according to the set rules after the vehicles are combined; The calculation module calculates whether the vehicle and cargo are matched and the profit during the transportation process.

4. The intelligent loading system for vehicle logistics transportation according to claim 3 is characterized by: The calculation module includes a transportation time storage unit, which considers the benefits of transportation from all aspects; The operational capacity calculation unit calculates whether the goods and vehicles are profitable based on their status; The profitability calculation unit calculates the final profit based on the matching degree of vehicle and cargo, the freight rate of the vehicle owner and the platform's revenue.

5. The intelligent loading system for vehicle logistics transportation according to claim 4 is characterized by: The transport time storage unit includes a vehicle-cargo distance calculation unit for determining the distance between the vehicle and the cargo; The route monitoring unit is used to monitor the status of the driving route in real time.

6. The intelligent loading system for vehicle logistics transportation according to claim 5 is characterized by: The transport time storage unit also includes a traffic condition monitoring unit for real-time monitoring of the traffic condition of the road surface; The weather condition monitoring unit monitors the weather conditions during vehicle transportation.

7. The intelligent loading system for vehicle logistics transportation according to claim 4 is characterized by: The operational capability calculation unit includes a vehicle operational efficiency monitoring unit for monitoring the driving time, speed and mileage of the vehicle; Vehicle operation safety monitoring unit, used to monitor whether there are any illegal operations during vehicle driving; The cargo security monitoring unit is used to monitor whether the cargo is lost or damaged.

8. The intelligent loading system for vehicle logistics transportation according to claim 4 is characterized by: The profitability calculation unit includes a vehicle-cargo matching degree monitoring unit for monitoring the matching degree between cargo type, volume, weight and vehicle type, length and capacity; The vehicle owner's freight rate calculation unit calculates the vehicle driver's transportation cost; The platform revenue calculation unit calculates the revenue obtained by the platform after deducting costs.

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