CN110969391A - Logistics transportation planning method and system and computer readable storage medium - Google Patents
Logistics transportation planning method and system and computer readable storage medium Download PDFInfo
- Publication number
- CN110969391A CN110969391A CN201911217578.1A CN201911217578A CN110969391A CN 110969391 A CN110969391 A CN 110969391A CN 201911217578 A CN201911217578 A CN 201911217578A CN 110969391 A CN110969391 A CN 110969391A
- Authority
- CN
- China
- Prior art keywords
- truck
- transportation
- logistics
- safety area
- positioning position
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Computer Networks & Wireless Communication (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a logistics transportation planning method, a logistics transportation planning system and a computer readable storage medium, wherein the method comprises the following steps: receiving a goods collecting instruction sent by the logistics server, and acquiring GPS data of the truck to position the truck in real time; when the positioning position of the truck does not reach a designated safety area, acquiring a historical transportation record from a logistics server, and deducing a predicted time interval of the truck reaching the designated safety area in real time according to the historical transportation record and the positioning position of the truck; and sending the predicted time interval to a supplier corresponding to the specified safety area so as to prompt the supplier to finish stock before the predicted time interval. The invention can determine the expected time interval of the arrival of the truck through the positioning position of the truck and the historical transportation record of the truck, thereby leading a supplier to master the production progress according to the expected time interval of the arrival, and preventing the problems of delayed transportation delivery of a logistics company and time cost waste caused by untimely production of goods.
Description
Technical Field
The present invention relates to the field of logistics, and in particular, to a method and a system for planning logistics transportation, and a computer-readable storage medium.
Background
In the current logistics transportation mode of collecting goods through trucks, in order to improve the efficiency of logistics transportation, a mode of planning transportation is often adopted, namely, the departure time and the destination of each truck are determined according to the transportation condition of the trucks, so that the problem that the transportation cost is increased due to the fact that routes are repeated or the transportation capacity is insufficient can be solved for a plurality of trucks. However, in the existing planning method, after the truck departs, the road conditions of the truck in transit cannot be controlled, so that the arrival time cannot be fed back to the corresponding supplier of the destination in time, and further the truck often needs to wait for the completion of the production of goods after arriving at the destination, which is 1-2 hours short and several days long, and causes the problem of delivery delay and wastes time and cost for the logistics transportation company.
Disclosure of Invention
The invention mainly aims to provide a logistics transportation planning method, a logistics transportation planning system and a computer-readable storage medium, and aims to solve the problem that a supplier cannot determine when a truck arrives, so that a large amount of time is consumed for waiting for collecting and loading the truck after the truck arrives.
In order to achieve the purpose, the invention provides a logistics transportation planning method, which comprises the following steps:
receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of the truck according to the goods collection instruction so as to position the truck in real time;
when the positioning position of the truck does not reach a designated safety area, acquiring a historical transportation record from a logistics server, and deducing a predicted time interval of the truck reaching the designated safety area in real time according to the historical transportation record and the positioning position of the truck;
and sending the predicted time interval to a supplier corresponding to the specified safety area so as to prompt the supplier to finish stock before the predicted time interval.
Optionally, the step of deducing the estimated time interval for the truck to reach the designated safety area in real time according to the historical transportation record and the positioning position of the truck comprises:
acquiring a starting base point and a target base point of a truck;
calculating the distance between the truck and a target base point according to the current positioning position of the truck;
searching a plurality of transportation records which are the same as the starting base point of the truck, the same as the arriving destination base point of the truck and comprise the current positioning position of the truck in the driving route from the historical transportation records;
screening the plurality of transportation records according to a preset screening rule to obtain a reference transportation record;
and determining the predicted time interval for the truck to arrive at the designated safety area according to the reference transportation record.
Optionally, the step of filtering the transportation records according to a preset filtering rule to obtain a reference transportation record includes:
determining the matching degree corresponding to each transportation record according to a preset screening rule;
and taking the transportation record with the highest matching degree as a reference transportation record.
Optionally, the step of determining an expected time interval for the truck to arrive at the designated safety area based on the reference transportation record comprises:
obtaining from the reference transportation record an average speed of the truck in record from the localized position to reach the designated safe area;
and determining the predicted time interval for the truck to reach the designated safety area from the current positioning position according to the average speed.
Optionally, after the step of receiving a cargo collection instruction sent by the logistics server to position the truck in real time, the method further includes:
when the positioning position of the truck does not reach the designated safety area, the truck carriage lock is set to be in an unopenable state;
when the positioning position of the truck reaches a designated safety area, setting a truck carriage lock to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area so as to open the carriage for loading and/or unloading;
after loading and/or unloading are finished, the wagon compartment lock is set to be in an unopenable state according to a closing signal sent by the chip card.
Optionally, after the step of locating the truck in real time, the method further includes:
calculating the distances between the positioning position of the truck and all the cargo collection points and the unloading points on the driving route of the truck, and judging whether any distance is smaller than a preset distance threshold value; and when any distance is smaller than a preset distance threshold value, determining that the positioning position of the truck reaches the designated safety area.
Optionally, when the positioning position of the truck reaches the designated safe area, the step of setting the truck carriage lock to an openable state according to an opening signal sent by a chip card corresponding to the designated safe area so as to open the carriage for loading and/or unloading includes:
when the positioning position of the truck reaches a cargo collection point in a designated safety area, receiving an opening signal sent by an operator in the designated safety area through a corresponding chip card after verifying a carriage lock of the truck, and setting the carriage lock of the truck to be in an openable state according to the opening signal so as to open the carriage for loading;
after the step of setting the wagon carriage lock to be in an openable state according to the opening signal sent by the chip card corresponding to the designated safe area so as to open the wagon carriage for loading and/or unloading, the method further comprises the following steps:
uploading the loading statistical data to a logistics system server, and receiving a matching result returned after the logistics server matches the loading statistical data with shipment data sent by a supplier;
and when the matching result is correct, determining that the carriage is completely loaded.
Optionally, after the step of determining that the freight car is completely loaded, the method further includes:
when the positioning position of the truck leaves the designated safety area, generating a standard driving path according to the positioning position of the truck and the next designated safety area in the preset goods collection sequence table;
and determining the driving route of the truck according to the standard driving path and the positioning position of the truck, and sending an alarm signal when the driving route deviates.
In addition, to achieve the above object, the present invention further provides a logistics transportation planning system, which includes a memory, a processor, and a logistics transportation planning program stored in the memory and operable on the processor, wherein: the logistics transportation planning program, when executed by the processor, implements the steps of the logistics transportation planning method as described above.
In addition, to achieve the above object, the present invention further provides a computer-readable storage medium, on which a logistics transportation planning program is stored, and the logistics transportation planning program, when executed by a processor, implements the steps of the logistics transportation planning method as described above.
According to the logistics transportation planning method, the logistics transportation planning system and the computer readable storage medium provided by the embodiment of the invention, in the process of goods collection and driving of the truck, the time consumed by the truck from the positioning position to the designated safety area in the history record can be determined according to the positioning position of the truck and the history transportation record of the truck, so that the predicted time interval of the current truck from the positioning position to the designated safety area can be deduced. The supplier can control the production progress according to the arrival estimated time interval by receiving the arrival estimated time interval of the truck, and can timely load goods after the truck arrives, thereby preventing the problems of delay of transportation delivery and time cost waste of the logistics company caused by untimely goods production.
Drawings
FIG. 1 is a schematic diagram of an apparatus in a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of the logistics transportation planning method of the invention;
fig. 3 is a schematic view of the workflow displayed on the driver terminal during cargo collection control according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal in the embodiment of the present invention is a truck control device (hereinafter referred to as a terminal), and may specifically be a PC, a server, a smart phone, a tablet computer, an electronic book reader, an MP3(Moving Picture experts Group Audio Layer III, motion video experts compression standard Audio Layer 3) player, an MP4(Moving Picture experts Group Audio Layer IV, motion video experts compression standard Audio Layer 4) player, a portable computer, and other mobile terminal devices having a display function.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display screen based on the ambient light level and a proximity sensor that turns off the display screen and/or backlight when the hardware device is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when the motion sensor is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration) for recognizing the attitude of hardware equipment, and related functions (such as pedometer and tapping) for vibration recognition; of course, the hardware device may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and so on, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
It should be noted that the process and the specific embodiment of the application of the truck control device of the present invention are substantially the same as the following embodiments of the application of the logistics transportation planning method, and are not described herein again.
Furthermore, the truck control equipment as the terminal can also be in communication connection with the logistics server, the logistics server can manage and issue a goods collection instruction, and the goods collection instruction can be sent to the truck control equipment, so that the truck control equipment can go to a goods collection point for goods collection according to the required content in the goods collection instruction. The goods collection control of the truck control equipment in the logistics transportation planning system and the assistance of the logistics server enable the logistics transportation management of zero scattering to realize data unification, and the electronic operation management of centralized allocation helps suppliers and manufacturers to know goods logistics transportation conditions in time and make production and/or goods entering and exiting plans in time.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the logistics transportation planning method of the invention, wherein the method comprises the following steps:
step S10, receiving a goods collection instruction sent by the logistics server, and acquiring GPS data of the truck according to the goods collection instruction so as to position the truck in real time;
step S20, when the positioning position of the truck does not reach the designated safety area, obtaining a historical transportation record from the logistics server, and deducing the estimated time interval of the truck reaching the designated safety area in real time according to the historical transportation record and the positioning position of the truck;
step S30, sending the predicted time interval to the supplier corresponding to the designated secure area to prompt the supplier to complete the stock before the predicted time interval.
The embodiment is applied to the truck control equipment, and the truck control equipment can be integrated in a central control system of a truck, or additionally added on the truck and specially used for interacting with a driver terminal and a logistics server, so that logistics collection and transportation control are facilitated. The truck control equipment can be provided with a positioning module besides the components described in detail above so as to acquire GPS data of a truck for truck positioning. The positioning module can start the positioning module after receiving the goods collecting instruction of the logistics server, and can also continuously perform positioning. The logistics server is a server provided by the order issuing manufacturer and/or the supplier for centralized logistics management and control, and can collect logistics collection information of each truck issued by each logistics supplier. After the order issuing manufacturer issues part type lists to all suppliers, the logistics server can generate a goods collection instruction and send the goods collection instruction to the goods van control equipment corresponding to the goods van carrying the goods collection task. Alternatively, the logistics server may send the cargo collecting instruction to the logistics provider equipment, and the provider equipment receives truck vehicle information entered by an operator or automatically allocated to take the cargo collecting task, and then sends the cargo collecting instruction to the corresponding truck control equipment.
The cargo collection instruction may include preset cargo collection data and a preset cargo collection sequence table, where the preset cargo collection data may be location information, quantity and/or type of collected cargo, corresponding to each cargo collection point and each cargo discharge point that needs to collect cargo, and may further include a guidance travel route from the cargo collection point to the cargo collection point and from the cargo collection point to the cargo discharge point. The designated safety area is within a preset range of the goods collection point or the unloading point, wherein the preset range can be determined according to the sizes of different goods collection points or unloading points.
In this scheme, after the freight train receives the collection goods instruction that the logistics server sent, go out according to the collection goods instruction and go to the collection goods point and collect the goods, the orientation module can fix a position the freight train in real time at the in-process that traveles of freight train. When the positioning position of the truck does not reach the cargo collection point as the designated safe area, the truck control device may acquire the historical transportation record from the logistics server. The historical shipping records may include historical shipping records for the truck and historical shipping records for other trucks. And the expected time interval range of the truck reaching the specified safety area can be deduced in real time according to the acquired historical transportation record and the current positioning position of the truck. After the estimated time interval of the truck arriving at the specified safe area is determined, the truck control device can send the estimated time interval to a supplier in the specified safe area, so that the supplier can master the production progress according to the estimated time interval of arrival, stock goods can be timely carried out, goods can be quickly loaded into the truck after the truck arrives, and the problems of delayed transit time and time cost waste of a logistics company caused by untimely goods production are solved.
During the running process of the truck for collecting goods, the time consumed by the truck from the positioning position to the specified safety area in the historical record can be determined through the positioning position of the truck and the historical transportation record of the truck, so that the predicted time interval for the current truck to reach the specified safety area from the positioning position can be deduced. The goods supplier can effectively carry out production and transportation planning for goods collection of the truck by receiving the expected arrival time interval of the truck so as to accelerate the speed of the goods collection of the truck after the truck arrives at the designated safe area.
Optionally, the step S20 of deducing the estimated time interval for the truck to reach the designated safety area in real time according to the historical transportation records and the positioning position of the truck may include the following steps:
step S21, a starting base point and a destination base point of the truck are obtained;
step S22, calculating the distance between the truck and the target site according to the current positioning position of the truck;
step S23, searching a plurality of transportation records which are the same as the starting base point of the truck, the same as the arriving destination base point and the traveling route of which comprises the current positioning position of the truck from the historical transportation records;
step S24, screening the transportation records according to a preset screening rule to obtain a reference transportation record;
and step S25, determining the predicted time interval for the truck to reach the designated safety area according to the reference transportation record.
When the positioning position of the truck does not reach the designated safety area, the truck control device can acquire the historical transportation records of the truck and other trucks from the logistics server. Meanwhile, the logistics server can also obtain a starting base point and a destination base point of the truck in the transportation process, and calculate the distance between the current position of the truck and the destination base point according to the current position of the truck. The historical transportation records are inquired to be the same as the starting base point of the current truck and the arriving destination base point, and the driving route comprises a plurality of transportation records of the positioning position of the current truck. These transportation records are the same as the designated safety area to which the current truck is going, and include the time node at which the truck was in the current truck location during the historical transportation and the time node at which the truck arrived at the designated safety area. And screening the transportation records meeting the screening rule from the plurality of transportation records according to a preset screening rule to serve as reference transportation records, and according to the time spent by the truck in the reference transportation records from the current positioning position of the truck to the designated safety area. And determining an expected time interval of the truck reaching the designated safety area by combining the time node corresponding to the positioning position of the current truck. And further screening out the reference transportation records from the historical transportation records, and effectively deducing the predicted time interval of the truck reaching the designated safety area from the reference transportation records with the same transportation route after screening.
Optionally, the step S24 may include the following steps:
step S241, determining the matching degree corresponding to each transportation record according to a preset screening rule;
and step S242, taking the transportation record with the highest matching degree as a reference transportation record.
In the scheme, in the transportation records of which the transportation routes are the same as those of the current truck, the matching degree of each transportation record can be determined through a preset screening rule. The screening rule can be departure date, departure time, whether the same day of the week exists, weather conditions on the transportation route, traffic conditions and the like. For example, on Monday as a rush hour on duty, the length of time in transit of the truck may be longer than other dates. Therefore, if the current is Monday, the matching degree of the transport records of Monday in the historical transport records is higher. The difference between saturday and weekday also affects the length of time in transit for trucking. The traffic condition of the transportation route refers to whether traffic control, road maintenance, temporary blocking and the like are performed on the transportation route. And obtaining the reference transportation record with the highest matching degree according to the preset screening rules. Thereby determining an expected time interval for the truck to arrive at the designated safe area based on the reference transportation record. So that the suppliers can reasonably arrange the stock according to the estimated time interval, and the trucks can quickly collect the stock after arriving.
Optionally, the step S25 may include the following steps:
step S251, obtaining an average speed of the truck in the record from the positioning position to the designated safety area from the reference transportation record;
in step S252, an expected time interval for the truck to reach the designated safety area from the current positioning position is determined according to the average speed.
In the scheme, after the reference transportation record is determined from the historical transportation record, the reference transportation record contains the accurate record of the position of the truck in the transportation process and the corresponding time point of the truck at the position. The time node at which the truck is in the current positioning position during the historical transportation process and the time node at which the truck arrives at the specified safety area can be obtained from the reference transportation record. The travel time of the truck on the journey can be calculated from the two time nodes. For example, the truck is dispatched from point O to point a and collected, and then driven for a certain distance to be located at point D on the way. The reference transportation record obtained from the historical transportation record is also the transportation route to the point A and passes through the point D. And obtaining the time node of the truck at the point D as 9:00 according to the historical transportation record, and obtaining the time node of the truck reaching the point A as 11:30, wherein the running time consumed by the truck from the point D to the point A is 2.5 hours. If the truck is currently at point D and the current time node is 9:30, it can be deduced from the reference transportation record that the truck will also take approximately 2.5 hours to reach point a, i.e. the arrival time is about 12:00, so as to further deduce that the expected time interval for reaching point a in the designated safety area is 11:45-12: 15. After the estimated time interval is determined, the estimated time interval is sent to the supplier at point a, so that the supplier can collect the goods quickly after the truck arrives. It will be appreciated that it is also possible to obtain the average speed of the truck from the positioning position to the specified safety area from the reference transportation record and calculate the expected time interval for the truck to reach the specified safety area from the current positioning position based on the average speed.
Optionally, after the step S10, the method may further include the following steps:
step S40, when the positioning position of the truck does not reach the designated safety area, the truck carriage lock is set to be in the unopenable state;
step S50, when the positioning position of the truck reaches the designated safe area, the truck carriage lock is set to be in an openable state according to the opening signal sent by the chip card corresponding to the designated safe area, so that the carriage is opened for loading and/or unloading;
and step S60, after loading and/or unloading are finished, the lock of the wagon compartment is set to be in an unopenable state according to the closing signal sent by the chip card.
The designated safety area is within a preset range of the goods collection point or the unloading point, wherein the preset range can be determined according to the sizes of different goods collection points or unloading points.
The scheme also comprises that each truck is provided with a corresponding truck carriage lock which has an openable state and a non-openable state, and the truck carriage lock can be opened and closed by chip cards preset in each designated safety area, so that the truck carriage is opened to load and unload goods. When the positioning module is positioned to the positioning position of the wagon and reaches the designated safety area, workers in the designated safety area send opening signals through the chip card to control the wagon carriage lock to be opened, namely, in an openable state, and otherwise, if the wagon carriage lock is not in the designated safety area, the wagon carriage lock is controlled to be closed, namely, in an unopenable state. After the goods are loaded and unloaded, the worker can send out a closing signal through the chip card, so that the truck carriage lock is set to be in an unopened state. The method and the device determine whether the truck is in the designated safety area or not based on the position location, flexibly control the state of the truck carriage lock through the preset chip card in the designated safety area, reduce the supervision of drivers on the driving road on goods, prevent fatigue driving, reduce the number of drivers and prevent the condition of monitoring and self-stealing.
Further, when the truck arrives at the designated safety area and is started to load and unload goods, the common operation flow in the prior art is that a supplier order worker and a driver perform manual check through a paper list so as to prevent the quantity and the types of the loaded and unloaded goods from being inaccurate. However, the paper inventory is easy to be maliciously tampered, and the personnel checking the goods can easily and directly check the number of the goods inventory, so that the fairness and the accuracy of the goods checking are influenced, and property loss is easily caused. Therefore, when the truck arrives at the designated safe area for loading and unloading, the embodiment also sets an interface at the driver terminal so that the driver can execute input operation to input the counted loading and unloading statistical data after counting the cargos. For example, load A item: (X) torr, B goods (Y) torr; unloading the goods C: (Z) Torr, wherein X, Y and Z are integers greater than 0, is the statistical data of the loading and unloading goods entered by the driver. After the input operation is completed, a driver can click a confirmation button on the interface, the loading and unloading data is sent to the truck control equipment by the driver terminal, and the truck control equipment automatically checks and matches the loading and unloading data. The memory of the truck control equipment can store preset loading and unloading data obtained from the cargo collecting instruction, then the preset loading and unloading data is matched with loading and unloading data submitted by the driver terminal, and if the preset loading and unloading data is successfully matched, the matching result can be sent to the driver terminal, so that the driver can correct the error result of a certain item. The matching result can be only the loading and unloading goods data are matched correctly or not correctly, or the single goods are not counted correctly or all the goods are counted correctly, and the matching result can be specifically set according to actual needs. For example, when the loading and unloading goods statistical data is matched with preset loading and unloading goods data in the goods collecting instruction, a matching result without data statistics is fed back to the driver through the driver terminal; and when the loading and unloading goods statistical data are not matched with the preset loading and unloading goods data in the goods collecting instruction, feeding back a matching result of data statistics error to the driver through the driver terminal. Wherein the data statistics are wrong/correct, namely, the data statistics represent specific matching results.
Because this application carries out goods data with the help of the statistical approach of electronization and checks, puts the matching process in the freight train controlgear that the driver can't directly know simultaneously, and the driver only can see the result of matching completion, can prevent other people maliciously to falsify the data, guarantees goods statistics check's accuracy and fairness, reduces because of goods loads the loss of property that the transportation brought inadequately.
Optionally, in the step S10, after receiving the cargo collection instruction sent by the logistics server, and acquiring the GPS data of the truck according to the cargo collection instruction to locate the truck in real time, the method may further include the following steps:
step S11, calculating the distances between the positioning position of the truck and all the cargo collection points and the unloading points corresponding to the cargo collection instruction, and judging whether any distance is smaller than a preset distance threshold value; and when any distance is smaller than a preset distance threshold value, determining that the positioning position of the truck reaches the designated safety area.
The scheme is a detailed judging step for judging whether the truck is in a specified safety area. Based on the aforementioned definition of the designated safety area, flexible definition of different preset distance thresholds may be performed according to the sizes of different designated safety areas, and of course, the preset distance thresholds may also be set to be uniform in size. The limitation of whether the preset distance threshold is set to reach the designated safety area is mainly considered in two aspects, namely, the range size of the cargo collection point/the cargo unloading point is considered on one hand, and errors may exist in positioning by using the positioning module on the other hand. In the determination of whether the truck arrives at the designated safety area, since the truck may need to approach a plurality of loading and unloading points during one loading and unloading transportation, the distances between the positioning position and all the loading and unloading points added in the loading and unloading command can be obtained, and as long as any one of the positioning position and the loading and unloading points meets the distance condition, the truck arrives at the corresponding loading and unloading point or point meeting the distance condition, that is, the truck arrives at the designated safety area. And if all the distances are not within the preset distance threshold, determining that the positioning position of the truck does not reach the designated safety area.
It should be further noted that, when two or more distances satisfy the preset distance threshold, the distance may be determined according to the position relationship between the cargo collection points or the cargo discharge points that satisfy the distance condition, for example, the distances of all the cargo collection points or the cargo discharge points that satisfy the condition are within a circular area with the radius of R, and R may be N times (where N is preferably 1 to 3 times) the maximum distance between the positioning position that satisfies the distance condition and the cargo collection points, then it is considered that the truck arrives in the specified safety area, and if the distances of all the cargo collection points or the cargo discharge points that satisfy the condition are not within the circular area, it is considered that the truck does not arrive, and it is necessary to perform positioning again or to perform determination by driving to take pictures or videos and performing on-line live broadcast, which is not described in detail herein.
According to the scheme, whether the truck reaches the designated safety region is determined according to whether the distances between the truck positioning position and all the cargo collection points and the cargo discharge points accord with the preset distance threshold value, a detailed preposed judgment step of the truck carriage lock adjustment state is provided, and the accuracy of logistics transportation planning can be better improved.
Further, on the basis of the foregoing, the step S50 includes:
step S51, when the positioning position of the truck reaches the goods collection point in the designated safety area, receiving an opening signal sent by an operator in the designated safety area through a corresponding chip card after verifying the carriage lock of the truck, and setting the carriage lock of the truck to be in an openable state according to the opening signal so as to open the carriage for loading;
after the step S50, the method further includes:
step S52, uploading the loading statistical data to a logistics system server, and receiving a matching result returned by the logistics server after the loading statistical data is matched with the shipment data sent by a supplier;
and step S53, when the matching result is correct, determining that the carriage is completely loaded.
In the above embodiment, in order to set the wagon box lock in the openable state in the designated security area, a corresponding chip card may be set in the designated security area in advance, and a worker in the area may first verify the wagon box lock of the wagon, and set the state of the wagon box lock through the chip card after confirming that the wagon box lock is not abnormal. After the truck reaches the designated safe area, the staff can send an opening signal through the chip card to set the carriage lock in an openable state. Similarly, after the goods are loaded and unloaded from the truck, the worker can send a closing signal through the chip card so as to enable the truck compartment lock to be in an unopened state. After goods are loaded and unloaded by the truck in the appointed safe area, the loading statistical data can be uploaded to the logistics system server, the logistics system server matches the loading statistical data with shipment data sent by a supplier after receiving the loading statistical data, and if the matching results are consistent, the loading quantity is correct, and the loading of the carriage is finished.
In order to realize tight control on goods collection of the logistics truck and reasonably arrange the goods collection sequence, the running path of the truck can be reasonably arranged according to the goods manufacturing progress of different suppliers and the distance between goods collection points, the running path of the truck can be included in a preset goods collection sequence table in a goods collection instruction, in addition, the preset goods collection sequence table can also include reasonable driving recommendation time from the goods collection points to the goods collection points or the goods discharge points, and when a driver drives the truck to run to a corresponding road section, the reasonable driving recommendation time can be fed back to the driver through a driver terminal, so that the reasonable control on the goods collection progress is ensured. In addition, the completion providing progress of the goods of the supplier can be mastered in real time, and the progress is deployed on the node to which the corresponding goods collection point belongs in a workflow manner, so that the timely update of the recommendation time is realized, and the details are shown in fig. 3.
When the goods collection sequence is controlled, the goods collection sequence is started from the time that the goods truck leaves the previous designated safe area, at this time, the name, the position, the identifier and the like of the designated safe area can be recorded, then the next designated safe area corresponding to the designated safe area is inquired from the preset goods collection sequence table of the goods collection instruction, when the positioning module is positioned to the area which reaches the designated safe area but is not required by the preset goods collection sequence table, the goods production progress of a supplier is comprehensively considered, and the lock of the boxcar of the goods truck can still be set to be in the unopenable state. The method is characterized in that the control of the boxcar lock is allowed to be adjusted to an openable state only when the arrival designated safe area of the truck is the next designated safe area recorded in the preset goods collection sequence table relative to the departure designated safe area, so that the waiting time of subsequent goods collection is reduced, and good deadline control is realized.
It should be further noted that after step S53, the method may further include:
step S54, when the positioning position of the truck leaves the designated safety area, generating a standard driving path according to the positioning position of the truck and the next designated safety area in the preset goods collecting sequence table;
and step S55, determining the driving route of the truck according to the standard driving path and the positioning position of the truck, and sending out an alarm signal when the driving route deviates.
The standard driving path is generated by firstly determining a starting point and an end point according to a preset goods collection sequence table and then updating in real time according to the real-time positioning position of the truck. The standard driving path is similar to map navigation, the path that the truck exceeds the limit for height and the truck is limited can be eliminated, the congested road section can be eliminated, and the driver can arrive at the next designated safe area required in the preset cargo collection sequence list according to the standard driving path after receiving the standard driving path through the driver terminal, so that the situation that the driver does not arrive according to the requirement and unnecessary time and financial cost waste are avoided. Meanwhile, after the driving route of the truck is determined according to the standard driving route and the positioning position of the truck, whether the driving route deviates or not can be further determined, and an alarm signal is sent out when the driving route deviates so as to remind a driver of the truck to drive back to the correct driving route.
Optionally, in other embodiments, the driver may also submit abnormal data to the logistics server through the driver terminal during driving, for example, the condition corresponding to the abnormal data includes a customs encounter and a temporary inspection, or an abnormality of the vehicle and/or goods, and the like. After the logistics server checks the abnormal data to generate an abnormal report and feeds the abnormal report back to the truck control equipment, the truck control equipment can control the carriage lock to be unlocked, so that goods can be guaranteed to be transferred in time or customs personnel can be assisted to actively check, the generation of accidents is considered, and emergency measures can be made in time and reasonably.
The invention also proposes a computer-readable storage medium on which a computer program is stored. The computer-readable storage medium may be the Memory 20 in the terminal in fig. 1, and may also be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, and the computer-readable storage medium includes several instructions for enabling a terminal device (which may be a mobile phone, a computer, a server, a terminal, or a network device) having a processor to execute the method according to the embodiments of the present invention.
It is to be understood that throughout the description of the present specification, reference to the term "one embodiment", "another embodiment", "other embodiments", or "first through nth embodiments", etc., is intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A logistics transportation planning method is characterized by comprising the following steps:
receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of the truck according to the goods collection instruction so as to position the truck in real time;
when the positioning position of the truck does not reach a designated safety area, acquiring a historical transportation record from a logistics server, and deducing a predicted time interval of the truck reaching the designated safety area in real time according to the historical transportation record and the positioning position of the truck;
and sending the predicted time interval to a supplier corresponding to the specified safety area so as to prompt the supplier to finish stock before the predicted time interval.
2. The logistics transportation planning method of claim 1, wherein the step of deducing the estimated time interval for the truck to reach the designated safety area in real time according to the historical transportation record and the positioning position of the truck comprises:
acquiring a starting base point and a target base point of a truck;
calculating the distance between the truck and a target base point according to the current positioning position of the truck;
searching a plurality of transportation records which are the same as the starting base point of the truck, the same as the arriving destination base point of the truck and comprise the current positioning position of the truck in the driving route from the historical transportation records;
screening the plurality of transportation records according to a preset screening rule to obtain a reference transportation record;
and determining the predicted time interval for the truck to arrive at the designated safety area according to the reference transportation record.
3. The logistics transportation planning method of claim 2, wherein the step of screening the plurality of transportation records according to a preset screening rule to obtain a reference transportation record comprises:
determining the matching degree corresponding to each transportation record according to a preset screening rule;
and taking the transportation record with the highest matching degree as a reference transportation record.
4. The method of claim 2, wherein the step of determining an expected time interval for the truck to arrive at the designated safety area based on the reference transportation record comprises:
obtaining from the reference transportation record an average speed of the truck in record from the localized position to reach the designated safe area;
and determining the predicted time interval for the truck to reach the designated safety area from the current positioning position according to the average speed.
5. The logistics transportation planning method of any one of claims 1 to 4, wherein after the step of receiving the cargo gathering instruction sent by the logistics server to locate the truck in real time, the logistics transportation planning method further comprises:
when the positioning position of the truck does not reach the designated safety area, the truck carriage lock is set to be in an unopenable state;
when the positioning position of the truck reaches a designated safety area, setting a truck carriage lock to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area so as to open the carriage for loading and/or unloading;
after loading and/or unloading are finished, the wagon compartment lock is set to be in an unopenable state according to a closing signal sent by the chip card.
6. The logistics transportation planning method of claim 5, wherein after the step of positioning the truck in real time, the method further comprises:
calculating the distances between the positioning position of the truck and all the cargo collection points and the unloading points on the driving route of the truck, and judging whether any distance is smaller than a preset distance threshold value; and when any distance is smaller than a preset distance threshold value, determining that the positioning position of the truck reaches the designated safety area.
7. The logistics transportation planning method of claim 5, wherein the step of setting the lock of the wagon compartment to be in an openable state according to an opening signal sent by a chip card corresponding to a designated safety area when the positioning position of the wagon reaches the designated safety area, so that the compartment is opened for loading and/or unloading comprises the following steps:
when the positioning position of the truck reaches a cargo collection point in a designated safety area, receiving an opening signal sent by an operator in the designated safety area through a corresponding chip card after verifying a carriage lock of the truck, and setting the carriage lock of the truck to be in an openable state according to the opening signal so as to open the carriage for loading;
after the step of setting the wagon carriage lock to be in an openable state according to the opening signal sent by the chip card corresponding to the designated safe area so as to open the wagon carriage for loading and/or unloading, the method further comprises the following steps:
uploading the loading statistical data to a logistics system server, and receiving a matching result returned after the logistics server matches the loading statistical data with shipment data sent by a supplier;
and when the matching result is correct, determining that the carriage is completely loaded.
8. The logistics transportation planning method of claim 7, wherein after the step of determining that the freight car is completely loaded, the logistics transportation planning method further comprises:
when the positioning position of the truck leaves the designated safety area, generating a standard driving path according to the positioning position of the truck and the next designated safety area in the preset goods collection sequence table;
and determining the driving route of the truck according to the standard driving path and the positioning position of the truck, and sending an alarm signal when the driving route deviates.
9. A logistics transportation planning system, comprising a memory, a processor, and a logistics transportation planning program stored on the memory and operable on the processor, wherein: the logistics transportation planning program when executed by the processor implements the steps of the logistics transportation planning method of any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a logistics transportation planning program, which when executed by a processor implements the steps of the logistics transportation planning method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911217578.1A CN110969391B (en) | 2019-11-29 | 2019-11-29 | Logistics transportation planning method, system and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911217578.1A CN110969391B (en) | 2019-11-29 | 2019-11-29 | Logistics transportation planning method, system and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110969391A true CN110969391A (en) | 2020-04-07 |
| CN110969391B CN110969391B (en) | 2023-05-05 |
Family
ID=70032758
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911217578.1A Active CN110969391B (en) | 2019-11-29 | 2019-11-29 | Logistics transportation planning method, system and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110969391B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743849A (en) * | 2020-06-12 | 2021-12-03 | 北京京东振世信息技术有限公司 | Logistics task transportation method and device |
| CN114548605A (en) * | 2022-04-25 | 2022-05-27 | 深圳市快金数据技术服务有限公司 | Cross-border e-commerce logistics order analysis management system based on big data |
| CN114862226A (en) * | 2022-05-18 | 2022-08-05 | 江苏佳利达国际物流股份有限公司 | Intelligent dispatching and loading and unloading management method and system for warehouse logistics |
| WO2023279409A1 (en) * | 2021-07-06 | 2023-01-12 | 深圳市通拓信息技术网络有限公司 | Path optimization method based on logistics tracking |
| CN117745189A (en) * | 2024-02-20 | 2024-03-22 | 深圳市明心数智科技有限公司 | Commodity warehouse-in management method, system and medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001034877A (en) * | 1999-07-23 | 2001-02-09 | Nec Mobile Commun Ltd | Collection/delivery management method and system |
| US20030146854A1 (en) * | 1993-05-18 | 2003-08-07 | Jones M. Kelly | Advance notification systems and methods utilizing a computer network |
| US20130307707A1 (en) * | 2012-05-16 | 2013-11-21 | Bus Tracker LLC | Notification System For Reporting Status of a Vehicle and Anticipated Arrival Times. |
| CN104008473A (en) * | 2014-02-12 | 2014-08-27 | 中华电信股份有限公司 | Logistics distribution arrival time estimation system and method with notification function |
| CN107871175A (en) * | 2016-09-27 | 2018-04-03 | 传化物流集团有限公司 | A kind of vehicle and goods matching distribute leaflets method and device |
| CN108985688A (en) * | 2018-07-05 | 2018-12-11 | 北京智行者科技有限公司 | Method of servicing is sent in full-automatic logistics with charge free |
| CN109409585A (en) * | 2018-10-08 | 2019-03-01 | 北京海纳川汽车部件股份有限公司 | The dispatching method and device of logistics vehicles |
| DE102019001187A1 (en) * | 2018-03-12 | 2019-09-12 | Scania Cv Ab | Control arrangement and method for scheduling and monitoring transport tasks in a transport management system |
-
2019
- 2019-11-29 CN CN201911217578.1A patent/CN110969391B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030146854A1 (en) * | 1993-05-18 | 2003-08-07 | Jones M. Kelly | Advance notification systems and methods utilizing a computer network |
| JP2001034877A (en) * | 1999-07-23 | 2001-02-09 | Nec Mobile Commun Ltd | Collection/delivery management method and system |
| US20130307707A1 (en) * | 2012-05-16 | 2013-11-21 | Bus Tracker LLC | Notification System For Reporting Status of a Vehicle and Anticipated Arrival Times. |
| CN104008473A (en) * | 2014-02-12 | 2014-08-27 | 中华电信股份有限公司 | Logistics distribution arrival time estimation system and method with notification function |
| CN107871175A (en) * | 2016-09-27 | 2018-04-03 | 传化物流集团有限公司 | A kind of vehicle and goods matching distribute leaflets method and device |
| DE102019001187A1 (en) * | 2018-03-12 | 2019-09-12 | Scania Cv Ab | Control arrangement and method for scheduling and monitoring transport tasks in a transport management system |
| CN108985688A (en) * | 2018-07-05 | 2018-12-11 | 北京智行者科技有限公司 | Method of servicing is sent in full-automatic logistics with charge free |
| CN109409585A (en) * | 2018-10-08 | 2019-03-01 | 北京海纳川汽车部件股份有限公司 | The dispatching method and device of logistics vehicles |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743849A (en) * | 2020-06-12 | 2021-12-03 | 北京京东振世信息技术有限公司 | Logistics task transportation method and device |
| WO2023279409A1 (en) * | 2021-07-06 | 2023-01-12 | 深圳市通拓信息技术网络有限公司 | Path optimization method based on logistics tracking |
| CN114548605A (en) * | 2022-04-25 | 2022-05-27 | 深圳市快金数据技术服务有限公司 | Cross-border e-commerce logistics order analysis management system based on big data |
| CN114862226A (en) * | 2022-05-18 | 2022-08-05 | 江苏佳利达国际物流股份有限公司 | Intelligent dispatching and loading and unloading management method and system for warehouse logistics |
| CN114862226B (en) * | 2022-05-18 | 2023-08-11 | 江苏佳利达国际物流股份有限公司 | Warehouse logistics intelligent scheduling and loading and unloading management method and system |
| CN117745189A (en) * | 2024-02-20 | 2024-03-22 | 深圳市明心数智科技有限公司 | Commodity warehouse-in management method, system and medium |
| CN117745189B (en) * | 2024-02-20 | 2024-05-24 | 深圳市明心数智科技有限公司 | Commodity warehouse-in management method, system and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110969391B (en) | 2023-05-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110991965B (en) | Logistics transportation in-transit monitoring management method, system and storage medium | |
| CN110969391B (en) | Logistics transportation planning method, system and computer readable storage medium | |
| US11443396B2 (en) | Systems and methods for prioritizing trailers at receiving facility | |
| US10614411B2 (en) | Cross-dock management system, method and apparatus | |
| US11928643B2 (en) | Digital smart label for shipper with data logger | |
| US20190347614A1 (en) | Autonomous supply and distribution chain | |
| US7925514B2 (en) | Systems and methods for creating on-demand routes for powered industrial vehicles | |
| CN110910672B (en) | Truck cargo collection and unloading method, system and computer readable storage medium | |
| BR112019015176B1 (en) | SYSTEMS FOR ROUTING AND CONTROL OF VEHICLES FOR FREIGHT | |
| US20150371185A1 (en) | Systems and methods for managing a cargo transaction | |
| US20040193466A1 (en) | Method and process for managing a yard | |
| US20060178812A1 (en) | Computer-based dispatching system and method | |
| CN110197348B (en) | Autonomous vehicle control method and autonomous vehicle control device | |
| US20200082323A1 (en) | Shipment distribution system and method for distribution of goods shipments | |
| US11492838B2 (en) | System and method for controlling movable barrier operation at a secured premises | |
| US20150026696A1 (en) | Systems and methods for scheduling vehicle-related tasks | |
| US20220414585A1 (en) | Methods and systems for transportation dock management | |
| JP2978888B1 (en) | Vehicle allocation planning system | |
| US20180093623A1 (en) | Vehicle firmware update using a vehicle gateway | |
| CN110910076A (en) | Logistics plan adjusting method and system and computer readable storage medium | |
| CN110910078B (en) | Truck cargo collection control method, system and computer readable storage medium | |
| JP2006069758A (en) | Transport system | |
| WO2023233796A1 (en) | Production management system, production management method, and program | |
| JP7162723B2 (en) | Automotive asset location management system and method | |
| US20210073747A1 (en) | Reuse material management apparatus, reuse material management system, and reuse material management method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |