CN110969391B - Logistics transportation planning method, system and computer readable storage medium - Google Patents
Logistics transportation planning method, system and computer readable storage medium Download PDFInfo
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- CN110969391B CN110969391B CN201911217578.1A CN201911217578A CN110969391B CN 110969391 B CN110969391 B CN 110969391B CN 201911217578 A CN201911217578 A CN 201911217578A CN 110969391 B CN110969391 B CN 110969391B
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- 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
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- 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
Abstract
The invention discloses a logistics transportation planning method, a logistics transportation planning system and a computer readable storage medium, wherein the logistics transportation planning method comprises the following steps: receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of a truck so as to position the truck in real time; when the positioning position of the truck does not reach the appointed safety area, acquiring a historical transportation record from a physical stream server, and deducing the predicted time interval of the truck reaching the appointed 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 designated security area so as to prompt the supplier to finish stock before the predicted time interval. According to the method and the system, the expected time interval of arrival of the truck can be determined through the positioning position of the truck and the historical transportation record of the truck, so that a provider can control the production progress according to the expected time interval of arrival, and the problems of delay in transportation delay and time waste of logistics companies caused by untimely production of goods are prevented.
Description
Technical Field
The present invention relates to the field of logistics, and in particular, to a logistics transportation planning method, system and computer readable storage medium.
Background
In the current logistics transportation mode of collecting goods through trucks, in order to improve logistics transportation efficiency, a planned transportation mode is often adopted, namely, the departure time and the destination of each truck are determined according to the transportation condition of the truck, so that the problem of transportation cost rise caused by repeated route or insufficient carrying capacity of a plurality of trucks can be avoided. However, the existing planning method cannot control the road conditions of the in-transit truck after the truck starts, so that the arrival time cannot be timely fed back to the corresponding supplier of the destination, and further the truck often needs to wait for loading after the truck arrives at the destination, the time is 1-2 hours, the time is long, a few days are consumed, and the problem of delay in delivery is caused for the logistics transportation company and the time cost is wasted.
Disclosure of Invention
The present invention provides a logistics transportation planning method, system and computer readable storage medium, which aims to solve the problem that a supplier cannot determine when a truck arrives, and a lot of time is consumed because the truck needs to wait for loading the truck after arriving.
In order to achieve the above purpose, the present invention provides a logistics transportation planning method, comprising the following steps:
receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of a 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 the appointed safety area, acquiring a historical transportation record from a physical stream server, and deducing the predicted time interval of the truck reaching the appointed 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 designated security area so as to prompt the supplier to finish stock before the predicted time interval.
Optionally, the step of deducing in real time the expected time interval for the truck to reach the specified safety area according to the historical transportation record and the positioning position of the truck includes:
acquiring a starting point and a destination point of a truck;
calculating the distance between the truck and the target point according to the current positioning position of the truck;
searching a plurality of transportation records which are the same as the departure point of the truck, the same as the arrival destination point and the travel route of which comprises the current positioning position of the truck from the historical transportation records;
screening from the plurality of transportation records according to a preset screening rule to obtain a reference transportation record;
and determining the expected time interval for the truck to arrive at the designated safety area according to the reference transportation record.
Optionally, the step of screening the plurality of transportation records according to a preset screening 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 the expected time interval for the truck to reach the designated safe area based on the reference transportation record includes:
obtaining the average speed of the truck in the record from the positioning position to the appointed safety area from the reference transportation record;
and determining the expected 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 the cargo collection instruction sent by the logistics server to locate 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 unopened state;
when the positioning position of the truck reaches a designated safety area, the truck carriage lock is set to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area, so that the carriage is opened for loading and/or unloading;
and after loading and/or unloading is finished, the boxcar lock is set to be in an unopened state according to a closing signal sent by the chip card.
Optionally, after the step of positioning the truck in real time, the method further includes:
calculating the distances between the positioning position of the truck and all the goods collecting points and the goods discharging points on the running 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 safety area, the truck carriage lock is set to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area, so that the carriage is opened for loading and/or unloading, and the steps include:
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 cargo loading;
after the step of setting the wagon box lock to be in an openable state according to the opening signal sent by the chip card corresponding to the designated safety area so as to open the wagon box 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 the delivery data sent by the supplier;
and when the matching result is correct, determining that loading of the carriage is completed.
Optionally, after the step of determining that the loading of the carriage is completed, the method further includes:
when the positioning position of the truck leaves the appointed safe area, generating a standard driving path according to the positioning position of the truck and the next appointed safe area in the preset cargo collection sequence table;
and determining the driving route of the truck according to the standard driving route and the positioning position of the truck, and sending out an alarm signal when the driving route deviates.
In addition, in order to achieve the above object, the present invention also provides a logistics transportation planning system, which includes a memory, a processor, and a logistics transportation planning program stored on the memory and executable 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, in order to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a logistics transportation planning program which, when executed by a processor, implements the steps of the logistics transportation planning method as described above.
According to the logistics transportation planning method, system and computer readable storage medium, in the process of carrying out goods collection on the truck, the time consumed by the truck reaching the appointed safe area from the positioning position in the history record can be determined through the positioning position of the truck and the history transportation record of the truck, so that the expected time interval of the current truck reaching the appointed safe area from the positioning position is estimated. The supplier can control the production progress according to the arrival expected time interval by receiving the arrival expected time interval of the truck, and timely carry out goods loading after the arrival of the truck, so that the problems of delayed transportation delay and time cost waste of logistics companies caused by untimely goods production are prevented.
Drawings
FIG. 1 is a schematic diagram of a device architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flow chart of a first embodiment of the logistics transportation planning method of the present invention;
fig. 3 is a schematic diagram of the workflow of the present invention displayed on a driver terminal at the time of cargo collection control.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of an apparatus structure of a hardware running environment according to an embodiment of the present invention.
The terminal in the embodiment of the invention is truck control equipment (hereinafter referred to as terminal for short), which can be a PC, a server, a smart phone, a tablet personal computer, an electronic book reader, an MP3 (Moving Picture Experts Group Audio Layer III, dynamic image expert compression standard audio layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, dynamic image expert compression standard audio layer 4) player, a portable computer and other movable terminal equipment with display functions.
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 the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a 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 stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the terminal may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and so on. Among other sensors, such as light sensors, motion sensors, and other sensors. In particular, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn 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 acceleration in all directions (generally three axes), and can detect the gravity and the direction when the device is stationary, and the device can be used for recognizing the application of the gesture of hardware equipment (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; 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 the like, which are not described herein.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
It should be noted that, the process and the specific embodiment of the present invention for applying the truck control device are substantially the same as the embodiments of the following application logistics transportation planning method, and are not described herein.
Further, the truck control equipment serving as a terminal can be in communication connection with a logistics server, and the logistics server can manage and issue a cargo collection instruction and can send the cargo collection instruction to the truck control equipment, so that the truck control equipment can send the cargo collection instruction to a cargo collection point for cargo collection according to the required content in the cargo collection instruction. The scattered logistics transportation management is realized through the collection control of the truck control equipment and the assistance of the logistics server in the logistics transportation planning system, the centralized allocation electronic operation management is realized, suppliers and manufacturers are helped to know the logistics transportation condition of goods in time, and production and/or goods in-out plans are made in time.
Referring to fig. 2, fig. 2 is a flow chart of a first embodiment of the logistics transportation planning method according to the present invention, wherein the method includes the following steps:
step S10, receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of a 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 appointed safe area, acquiring a historical transportation record from a stream server, and deducing the predicted time interval of the truck reaching the appointed safe area in real time according to the historical transportation record and the positioning position of the truck;
step S30, the expected time interval is sent to the suppliers corresponding to the designated security area, so as to prompt the suppliers to finish stock before the expected time interval.
The embodiment is applied to truck control equipment, and the truck control equipment can be integrated in a central control system of a truck, or can be additionally added on the truck to be specially used for interacting with a driver terminal and a logistics server so as to facilitate logistics, collection, transportation and control. The truck control device may have a positioning module in addition to the components described in detail above, to obtain GPS data of the truck for truck positioning. The time for starting the positioning module to position can be started after the goods collection instruction of the logistics server is received, and the positioning can also be continuously performed. The logistics server is a server set by a vendor and/or a supplier for centralized logistics control, and can collect logistics and cargo collection information of each truck under each vendor. After the order manufacturer issues the part type list to each supplier, the logistics server can generate a goods collection instruction and send the goods collection instruction to the corresponding goods vehicle control equipment of the goods vehicle for receiving the goods collection task. Alternatively, the logistics server may send the cargo collection instruction to the logistics provider device, and the provider device receives the information of the truck vehicle, which is entered by an operator or automatically distributes and accepts the cargo collection task, and then sends the cargo collection instruction to the corresponding truck control device.
The loading and unloading instruction may include preset loading and unloading data and a preset loading and unloading sequence table, where the preset loading and unloading data may be position information, the number and/or type of the loaded articles, corresponding to each loading point and unloading point of the loaded articles, and may further include guiding driving paths from the loading point to the loading point and from the loading point to the unloading point. The specified safety area is within a preset range of the collection point or the unloading point, wherein the preset range can be determined according to the sizes of different collection points or different unloading points.
In the scheme, after the goods collection instruction sent by the logistics server is received by the goods truck, the goods truck starts to go to a goods collection point for goods collection according to the goods collection instruction, and the positioning module can position the goods truck in real time in the running process of the goods truck. When the location of the truck does not reach the collection point as the designated safe area, the truck control equipment may obtain a historical shipping record from the mass flow server. The historical shipping records may include historical shipping records for the truck and historical shipping records for other trucks. And according to the acquired historical transportation record and the current positioning position of the truck, the expected time interval range of the truck reaching the appointed safety area can be deduced in real time. After the predicted time interval of the truck reaching the designated safety area is determined, the truck control equipment can send the predicted time interval to suppliers in the designated safety area, so that the suppliers can control the production progress according to the predicted time interval, stock the truck in time, and load the truck with the truck quickly after the truck arrives, thereby preventing the problems of delay in transportation and delivery of logistics companies and time cost waste caused by untimely production of the truck.
In the process of carrying out goods collection on the truck, the time consumed by the truck arriving at the appointed safe area from the positioning position in the history record can be determined through the positioning position of the truck and the history transportation record of the truck, so that the expected time interval of arriving at the appointed safe area from the positioning position of the current truck is deduced. The suppliers can effectively carry out production and transportation planning for the goods collection of the goods by receiving the expected arrival time interval of the goods, so as to accelerate the goods collection speed of the goods after the goods arrive at the appointed safe area.
Optionally, the step S20 of deducing, in real time, the predicted time interval for the truck to reach the specified safety area according to the historical transportation record and the location of the truck may include the following steps:
step S21, obtaining a departure point and a destination point of a truck;
step S22, calculating the distance between the truck and the target point according to the current positioning position of the truck;
step S23, searching a plurality of transportation records which are the same as the starting point of the truck, the same as the arriving destination point of the truck and the travel route of which comprises the current positioning position of the truck from the historical transportation records;
step S24, screening from the plurality of transportation records according to a preset screening rule to obtain a reference transportation record;
step S25, determining the expected time interval when the truck arrives at the appointed safety area according to the reference transportation record.
When the location of the truck does not reach the designated safe area, the truck control device may obtain historical shipping records for the truck and other trucks from the mass flow server. Meanwhile, the logistics server can also obtain a starting point and a destination point of the truck in the transportation process, and calculate the distance between the current position of the truck and the destination point according to the current positioning position of the truck. The historical transportation records are searched out, the starting point and the arriving destination point of the current truck are the same, and the running route comprises a plurality of transportation records of the positioning position of the current truck. These traffic records are the same as the designated safe area to which the current truck is destined and include the time node at which the truck is in the current truck location during the historical transportation and the time node at which the designated safe area is reached. And screening the transportation records conforming to the screening rules from a plurality of transportation records according to the preset screening rules to serve as reference transportation records, and according to the time spent by the truck in the reference transportation records to reach the designated safety area from the positioning position of the current truck. And determining the expected time interval of the truck reaching the designated safety area according to the time node corresponding to the positioning position of the current truck. The reference transportation records are further screened from the historical transportation records, and the expected time interval of the delivery truck reaching the appointed safe area can be effectively deduced from the reference transportation records with the same transportation route after screening.
Optionally, the step S24 may include the steps of:
step S241, determining the matching degree corresponding to each transportation record according to a preset screening rule;
in step S242, the transportation record with the highest matching degree is used as the reference transportation record.
In the scheme, in the transportation records with the same transportation route as the current truck, the matching degree of each transportation record can be determined through a preset screening rule. The screening rules may be departure date, departure time, same day of the week, weather conditions on the transportation route, traffic conditions, etc. For example, monday is a rush hour period, and the truck may have a longer on-road length than the other dates. Thus, the matching degree of the monday transportation records in the history transportation records is higher if the current monday transportation record is monday. The distinction between the Saturday and the weekday also affects the length of time in transit for trucking. The traffic condition of the transportation route refers to whether the transportation route is in traffic control, road maintenance, temporary blocking and the like. And obtaining the reference transportation record with the highest matching degree according to the preset screening rules. The expected time interval for the truck to reach the designated safe area is thus determined from the reference transportation record. The goods supplier can reasonably arrange the stock according to the expected time interval, so that the goods can be collected rapidly after arriving.
Optionally, the step S25 may include the steps of:
step S251, obtaining the average speed of the truck in the record from the positioning position to reach the designated safety area from the reference transportation record;
step S252, determining an expected time interval for the truck to reach the designated safety area from the current positioning position 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 location during the historical transportation and the time node at which the truck arrives at the designated safe area can thus be obtained from the reference transportation record. The travel time of the truck in this path can be calculated from the two time nodes. For example, the truck starts from point O and goes to point a for collection, and then runs for a certain distance and then is located at point D on the way. The reference transportation record obtained from the historical transportation record is also the transportation route to point a and passes through point D. And obtaining that the time node of the truck at the point D is 9:00 according to the historical transportation record, and the time node of the truck reaching the point A is 11:30, wherein the running time consumed by the truck from the point D to the point A is 2.5 hours. The truck is also at point D at present, and the current time node is 9:30, so that it can be estimated that the truck can take about 2.5 hours to reach point a according to the reference transportation record, i.e. the arrival time is about 12:00, so as to further estimate that the estimated time interval for reaching point a in the designated safety area is 11:45-12:15. After determining the predicted time interval, the predicted time interval is sent to the supplier at point A, so that the supplier can collect goods quickly after the goods truck arrives. It will be appreciated that it is also possible to obtain from the reference transportation record the average speed of the truck from the location to the designated security area and calculate the estimated time interval for the truck to reach the designated security area from the current location 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 a designated safety area, setting the truck carriage lock to be in an unopened state;
step S50, when the positioning position of the truck reaches a designated safety area, a truck carriage lock is set to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area, so that the carriage is opened for loading and/or unloading;
and step S60, after loading and/or unloading is finished, the boxcar lock is set to be in an unopened state according to a closing signal sent by the chip card.
The specified safety area is within a preset range of the collection point or the unloading point, wherein the preset range can be determined according to the sizes of different collection points or different unloading points.
The scheme is also provided with a corresponding boxcar lock for each boxcar, the boxcar lock has an openable state and an unopened state, and the boxcar lock can be controlled to be opened and closed through a chip card preset in each appointed safety area so as to open the boxcar for loading and unloading. When the positioning module positions that the positioning position of the truck reaches the designated safety area, a worker in the designated safety area sends an opening signal through the chip card to control the truck carriage lock to be opened, namely in an openable state, otherwise, if the truck carriage lock is not in the designated safety area, the truck carriage lock is controlled to be closed, namely in an unopened state. After loading and unloading are finished, the staff can also send a closing signal through the chip card, so that the boxcar lock is set to be in an unopened state. According to the embodiment, whether the truck is in the appointed safe area or not is determined based on the position positioning, the state of the truck carriage lock is flexibly controlled in the appointed safe area through the preset chip card, nursing supervision of a driver on a driving road on goods can be reduced, fatigue driving is prevented, the number of the drivers is reduced, and the condition of guarding and theft can be prevented.
Further, when the truck arrives at the designated safety area, the conventional operation flow in the prior art is manually checked by the suppliers and drivers through the paper list to prevent inaccurate loading and unloading quantity and class. However, the paper bill is easy to be tampered maliciously, and the number of the bill of the goods is easy to be directly checked by the person for checking the goods, so that the fairness and accuracy of checking the goods are affected, and the property loss is easy to be caused. Therefore, when the truck arrives at the designated safety area for loading and unloading, an interface is arranged on the driver terminal, so that the driver can execute input operation to input the loading and unloading statistical data of the cargo after the cargo is checked. For example, load a good: (X) support, B goods (Y) support; unloading the C goods: (Z) Torr, wherein X, Y and Z are integers greater than 0, are loading and unloading statistical data entered by the driver. After the input operation is completed, the 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 storage 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 are matched with loading and unloading data submitted by the driver terminal, and whether the loading and unloading data are successfully matched or not can be judged, and a matching result can be sent to the driver terminal, so that the driver can check an error result of a certain item. The matching result can be just that the loading and unloading data are matched correctly or are matched incorrectly, or can be that the statistics of a single item of goods are incorrect or all the statistics are correct, and the matching result can be specifically set according to actual needs. For example, when the loading and unloading statistical data is matched with preset loading and unloading data in the loading and unloading command, the matching result with no error of the data statistics is fed back to the driver through the driver terminal; and when the loading and unloading statistical data are not matched with the preset loading and unloading data in the cargo collecting instruction, feeding back the matching result of the data statistical errors to the driver through the driver terminal. Wherein data statistics are incorrect/correct, i.e. represent specific matching results.
Because the goods data is checked by means of the electronic statistical mode, the matching process is simultaneously put in the truck control equipment which can not be directly known by a driver, the driver can only see the result of the matching completion, the malicious tampering of the data by other people can be prevented, the accuracy and fairness of goods statistical checking are ensured, and the property loss caused by insufficient goods loading and transportation is reduced.
Optionally, in the step S10, a cargo collecting instruction sent by the logistics server is received, and after the GPS data of the truck is obtained according to the cargo collecting instruction, so as to position the truck in real time, the method may further include the following steps:
step S11, calculating distances between the positioning position of the truck and all the cargo collecting points and the unloading points corresponding to the cargo collecting 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 refinement judgment step for judging whether the truck is in a specified safety area. Based on the definition of the specified safety area, flexible definition of different preset distance thresholds can be performed according to the sizes of different specified safety areas, and the preset distance thresholds can be set to be uniform. The limitation of whether the preset distance threshold is set to reach the designated safety area is mainly considered on two sides, on one hand, the range size of the collection point/unloading point is considered, and on the other hand, errors can exist in positioning by using the positioning module. For the judgment of determining whether the truck reaches the designated safety area, since multiple loading and unloading points may be needed when the truck performs one-time loading and unloading transportation, the distances between the positioning position and all the additional loading points and unloading points in the loading instruction can be obtained, and as long as any one of the distances is met, the truck is proved to reach the corresponding loading point or unloading point meeting the distance condition, namely, the truck reaches 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 the distance between two or more than two cargo collecting points or unloading points satisfying the distance condition satisfies the preset distance threshold, it may be determined according to the position relationship between the cargo collecting points or unloading points satisfying the distance condition, for example, the distances between all the cargo collecting points or unloading points satisfying the condition are within a circular area with R as a radius, where R may be N times (where N is preferably between 1-3 times) the maximum distance between the positioning position and the cargo collecting points satisfying the distance condition, and if the distances between all the cargo collecting points or unloading points satisfying 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 perform determination by driving to take a photo or video and perform online direct seeding.
According to the scheme, whether the truck reaches a designated safety area or not is determined by whether the distances between the truck positioning position and all the cargo collecting points and the unloading points accord with the preset distance threshold value, and the refined front judgment step of the truck carriage lock adjustment state is provided, so that 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 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 cargo 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 after the logistics server matches the loading statistical data with the delivery data sent by the supplier;
and step S53, when the matching result is correct, determining that the loading of the carriage is completed.
In the above embodiment, in order to set the wagon lock to the openable state in the designated security area, the corresponding chip card may be set in the designated security area in advance, and the staff in the area may verify the wagon lock first, and set the wagon lock state through the chip card after confirming that no abnormality has occurred in the wagon lock. After the truck arrives at the appointed safety area, a worker can send an opening signal through the chip card to set the carriage lock in an openable state. Similarly, after loading and unloading of the truck is completed, the worker can send a closing signal through the chip card so as to set the truck carriage lock in an unopened state. After loading and unloading the goods in the appointed safety area, the goods loading statistical data can be uploaded to the logistics system server, the logistics system server matches the goods loading statistical data with the goods output data sent by the supplier after receiving the goods loading statistical data, and if the matching result is consistent, the goods loading quantity is correct, and the goods loading of the carriage is completed.
In order to realize tight control of goods collection of logistics trucks, meanwhile, the goods collection sequence is reasonably arranged, and truck driving paths can be reasonably arranged according to the goods manufacturing progress of different suppliers and the distance between goods collection points, wherein the truck driving paths can be included in a preset goods collection sequence table in the goods collection instructions, in addition, the preset goods collection sequence table can also include reasonable driving recommendation time between the goods collection points and the goods collection points or the goods discharge points, and when a driver drives the trucks to drive to a corresponding road section, the reasonable driving recommendation time is fed back to the driver through a driver terminal, so that the goods collection progress is ensured to be reasonably controlled. In addition, the completion providing progress of the goods of the suppliers can be controlled in real time and deployed on the nodes corresponding to the goods collection points in a workflow mode, so that the recommendation time is updated timely, and the details are shown in fig. 3.
When the goods collection sequence is controlled, the goods collection sequence is controlled from the moment that the goods truck leaves the previous appointed safe area, the name, the position, the identifier and the like of the appointed safe area can be recorded, then the next appointed safe area corresponding to the appointed safe area is inquired from a preset goods collection sequence table of the goods collection instruction, when the positioning module positions the goods reaching the appointed safe area but not the area required by the preset goods collection sequence table, the goods production progress of a supplier is comprehensively considered, and the goods wagon lock can still be set to be in an unopened state. The control method comprises the steps that only when a designated safety area reached by a truck is the next designated safety area recorded in a preset cargo collection sequence table relative to the designated safety area left before, the control method allows the truck carriage lock to be controlled to adjust the state to an openable state, so that waiting time of subsequent cargo collection is shortened, and good period control is achieved.
It should be noted that, after step S53, the method may further include:
step S54, when the positioning position of the truck leaves the appointed safe area, generating a standard driving path according to the positioning position of the truck and the next appointed safe area in the preset cargo collection sequence table;
and step S55, determining the driving route of the truck according to the standard driving route 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 cargo 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, can exclude the path of the truck exceeding the limit height and the truck being limited, can also exclude the congestion road section, help the driver to receive the standard driving path through the driver terminal, can reach the next appointed safe area required in the preset cargo collection sequence list according to the standard driving path, and prevent the driver from arriving without the requirement, so that unnecessary time and financial cost waste are caused. 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 when the driving route deviates so as to remind a truck driver of driving back to the correct driving route.
Optionally, in other embodiments, the driver may also submit the abnormal data to the logistics server through the driver terminal during driving, for example, the situation corresponding to the abnormal data includes a customs clearance or abnormal vehicles and/or goods, etc. After checking the abnormal data to generate an abnormal report and feeding the abnormal report back to the truck control equipment, the truck control equipment can control the opening of the carriage lock, so that timely transfer of goods can be ensured or customs personnel can be assisted to actively check, the occurrence of unexpected situations is considered, and emergency measures can be timely and reasonably made.
The present 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 of fig. 1, or may be at least one of ROM (Read-Only Memory)/RAM (Random Access Memory ), magnetic disk, or optical disk, and the computer readable storage medium includes several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, a terminal, or a network device) having a processor to perform the method according to the embodiments of the present invention.
It is appreciated that in the description herein, reference to the terms "one embodiment," "another embodiment," "other embodiments," or "first through nth embodiments," etc., means 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 invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (9)
1. The logistics transportation planning method is characterized by comprising the following steps of:
receiving a goods collection instruction sent by a logistics server, and acquiring GPS data of a 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 the appointed safety area, acquiring a historical transportation record from a physical stream server, and deducing the predicted time interval of the truck reaching the appointed safety area in real time according to the historical transportation record and the positioning position of the truck;
the predicted time interval is sent to a supplier corresponding to the appointed safety area so as to prompt the supplier to finish stock before the predicted time interval;
the step of deducing the predicted time interval of the truck reaching the appointed safety area in real time according to the historical transportation record and the positioning position of the truck comprises the following steps:
acquiring a starting point and a destination point of a truck;
calculating the distance between the truck and the target point according to the current positioning position of the truck;
searching a plurality of transportation records which are the same as the departure point of the truck, the same as the arrival destination point and the travel route of which comprises the current positioning position of the truck from the historical transportation records;
screening from the plurality of transportation records according to a preset screening rule to obtain a reference transportation record;
and determining the expected time interval for the truck to arrive at the designated safety area according to the reference transportation record.
2. The method of logistics transportation planning of claim 1, wherein the step of screening the plurality of transportation records for a reference transportation record according to a preset screening rule 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.
3. The method of logistics transportation planning of claim 1, wherein said step of determining an expected time interval for a truck to arrive at a designated safe area from said reference transportation record comprises:
obtaining the average speed of the truck in the record from the positioning position to the appointed safety area from the reference transportation record;
and determining the expected time interval for the truck to reach the designated safety area from the current positioning position according to the average speed.
4. A method of logistics transportation planning according to any one of claims 1-3, wherein after the step of receiving the collection instruction from the logistics server to locate the wagon in real time, the 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 unopened state;
when the positioning position of the truck reaches a designated safety area, the truck carriage lock is set to be in an openable state according to an opening signal sent by a chip card corresponding to the designated safety area, so that the carriage is opened for loading and/or unloading;
and after loading and/or unloading is finished, the boxcar lock is set to be in an unopened state according to a closing signal sent by the chip card.
5. The method of logistics transportation planning of claim 4, further comprising, after the step of locating the wagon in real time:
calculating the distances between the positioning position of the truck and all the goods collecting points and the goods discharging points on the running 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.
6. The method for logistics transportation planning according to claim 4, wherein the step of setting the wagon box lock to an openable state according to the opening signal sent by the chip card corresponding to the designated safety area when the positioning position of the wagon reaches the designated safety area, so as to open the wagon box for loading and/or unloading comprises:
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 cargo loading;
after the step of setting the wagon box lock to be in an openable state according to the opening signal sent by the chip card corresponding to the designated safety area so as to open the wagon box 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 the delivery data sent by the supplier;
and when the matching result is correct, determining that loading of the carriage is completed.
7. The method of logistics transportation planning of claim 6, wherein after said step of determining that loading of the car is complete, further comprising:
when the positioning position of the truck leaves the appointed safety area, generating a standard driving path according to the positioning position of the truck and the next appointed safety area in a preset cargo collection sequence table;
and determining the driving route of the truck according to the standard driving route and the positioning position of the truck, and sending out an alarm signal when the driving route deviates.
8. A logistics transportation planning system comprising a memory, a processor, and a logistics transportation planning program stored on the memory and executable 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 7.
9. 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 of any one of claims 1 to 7.
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| CN113487081B (en) * | 2021-07-06 | 2022-04-29 | 深圳市通拓信息技术网络有限公司 | Path optimization method based on logistics tracking |
| CN114548605B (en) * | 2022-04-25 | 2022-08-05 | 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 |
| 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 |
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| US6748320B2 (en) * | 1993-05-18 | 2004-06-08 | Arrivalstar, Inc. | 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. |
| TWI569226B (en) * | 2014-02-12 | 2017-02-01 | Chunghwa Telecom Co Ltd | Logistics Delivery Arrival Time Estimation System and Method with Notification Function |
| CN107871175B (en) * | 2016-09-27 | 2021-05-25 | 传化物流集团有限公司 | Vehicle and goods matching order dispatching method and device |
| SE542320C2 (en) * | 2018-03-12 | 2020-04-07 | Scania Cv Ab | A control arrangement and a method for organizing and monitoring transport assignment 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 |
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