CN114118486A - Queuing reservation method and device, electronic equipment and readable storage medium - Google Patents
Queuing reservation method and device, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a queuing reservation method, a queuing reservation device, electronic equipment and a readable storage medium, wherein the method comprises the following steps: acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden; judging whether the check-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location. According to the method and the device, the goods taking time of the user can be flexibly adjusted according to the actual sign-in time of the user; therefore, the purposes of relieving traffic jam and reducing queuing time of users are achieved.
Description
Technical Field
The application relates to the technical field of logistics transportation, in particular to a queuing reservation method, a queuing reservation device, electronic equipment and a readable storage medium.
Background
At present, the time for a transport vehicle to go to a chemical industry park to take goods is independently determined by a driver, and in a season with strong demand, the phenomenon of concentrated goods taking is easy to occur, so that traffic jam outside a refinery is caused, and the queuing time of the driver is prolonged; in addition, different drivers have different habits, and some drivers have different habits, so that the original reservation queuing result is inaccurate, and a lot of drivers cannot get goods although coming to the refinery in advance, thereby delaying time and causing congestion.
Disclosure of Invention
The embodiment of the application provides a queuing reservation method, a queuing reservation device, an electronic device and a readable storage medium, so as to overcome or partially overcome the situations.
In a first aspect, a reservation queuing method is provided, the method including:
acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
judging whether the check-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
Optionally, the method further includes:
acquiring reservation information of a target vehicle;
and determining the goods picking reservation information of the target vehicle according to the reservation information, and pushing the goods picking reservation information to the target vehicle terminal.
Optionally, in the method, the acquiring reservation information of the target vehicle includes:
providing a front-end page, the front-end page including a plurality of reservation information configuration items; wherein the reservation information configuration item at least comprises: the system comprises a vehicle identity information configuration item, a goods picking type configuration item, a goods picking amount configuration item and a goods picking date configuration item;
in response to a configuration instruction of a configuration item of reservation information of each user, acquiring reservation information of the target user through the front-end page, wherein the delivery reservation information comprises a delivery prediction time range;
then, the determining whether the check-in time meets a preset time condition includes:
and determining whether the check-in time meets a preset time condition or not according to the check-in time and the predicted goods picking time range.
Optionally, in the method, the determining the pick-up reservation information of the target vehicle according to the reservation information includes:
determining a predicted goods picking time range of the target vehicle reaching a designated goods picking place in the park according to the reservation information and the submitting time of the configuration instruction;
acquiring a first prediction result of the type and the position of goods loaded by each vehicle in the park within the prediction time range for picking up goods;
determining a feasible path of the target vehicle according to the road condition of the park and the first prediction result;
and taking the feasible path and the predicted goods picking time range as goods picking reservation information of the target vehicle.
Optionally, in the method, the obtaining the check-in time of the target vehicle at the check-in place includes:
arranging electronic fences at check-in places around the garden;
and acquiring and taking the time when the target vehicle arrives at the electronic fence as the check-in time of the user.
Optionally, in the method, the determining whether the check-in time meets a preset time condition includes:
determining whether the sign-in time is earlier than the minimum value of the predicted goods picking time range by a first preset time length, if so, determining that the sign-in time meets a preset time condition; otherwise, determining that the check-in time does not meet the preset time condition.
Optionally, in the above method, the predicted time is determined according to the following method:
predicting the first time when the target vehicle reaches a goods picking place in the garden according to the running speed of the target vehicle, the first position of the target vehicle and the road condition information of the goods picking place;
and taking the first time as a predicted time.
Optionally, in the method, the determining whether to generate the first pick-up instruction according to the transportation condition of the vehicle in the forecast time park includes:
determining a second prediction result of the type and the position of goods loaded by each vehicle in the park at the prediction time;
judging whether the second prediction result meets an instruction generation condition, and if so, generating the first goods picking instruction; and if not, not generating the first goods picking instruction.
Optionally, the method further includes:
if the target vehicle does not check in within a second preset time length exceeding the maximum value of the predicted goods picking time range, acquiring a second position of the target vehicle;
and planning new goods picking reservation information for the target vehicle according to the second position and the goods picking reservation information of the target vehicle and pushing the new goods picking reservation information to the target vehicle terminal.
Optionally, the method further includes:
and adjusting the goods picking reservation information of other vehicles except the target vehicle according to the first goods picking command.
In a second aspect, there is provided a reservation queuing apparatus, the apparatus comprising:
an acquisition unit configured to acquire a check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
the judging and generating unit is used for judging whether the sign-in time meets a preset time condition or not, and if so, determining whether a first goods picking instruction is generated or not according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform any of the methods described above.
In a fourth aspect, this application embodiment also provides a computer-readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform any of the methods described above.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
according to the method and the device, the actual sign-in time of the target user is obtained, whether the actual sign-in time meets the requirement of picking up goods in advance is determined according to the preset time condition, if yes, whether a first picking-up instruction is generated or not is determined according to the vehicle transportation condition in the park when the target vehicle arrives at the expected time of the picking-up place, and the first picking-up instruction is sent to the target vehicle terminal, so that the target vehicle terminal can arrive at the appointed picking-up place in the park according to the first picking-up instruction. According to the method and the device, the goods taking time of the vehicle can be flexibly adjusted according to the sign-in time of the vehicle, so that the purposes of relieving traffic jam and reducing queuing time of users are achieved; the goods lifting efficiency in the chemical industry park is obviously improved, the time cost and the economic cost of chemical transportation are reduced, and the practicability is high.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 shows a flow diagram of a reservation queuing method according to an embodiment of the application;
FIG. 2 shows a schematic flow diagram of a reservation queuing method according to another embodiment of the present application;
FIG. 3 illustrates a block diagram of a reservation queuing apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
In the prior art, a user uses a transport vehicle to arrive at a refinery park to pick up goods, the goods picking time and the goods picking path are determined by a driver independently, and the concentrated goods picking phenomenon is easy to occur in a season with a strong demand, so that traffic jam outside the refinery is caused, and the queuing time of the driver is prolonged; in addition, different drivers have different habits, and some drivers have different habits, so that the original reservation queuing result is inaccurate, and a lot of drivers cannot get goods although coming to the refinery in advance, thereby delaying time and causing congestion.
In view of the above situation, the application provides an appointment queuing method, which can flexibly adjust the goods taking time of a user according to the actual sign-in time of the user, so as to avoid the above situation.
Fig. 1 is a schematic flow chart illustrating a reservation queuing method according to an embodiment of the present application, and as can be seen from fig. 1, the present application at least includes steps S110 to S120:
step S110: acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from the goods picking place in the garden.
In many cases, users sometimes cannot pick up goods according to the time in the pick-up reservation information due to many reasons, such as road conditions, accidents, personal habits, and the like, some users often arrive at a pick-up place in the morning or evening, and for users who arrive in the morning, if picking up goods according to the time in the original pick-up reservation information, the users are required to wait for a long time; for the late-arriving user, the time in the original pick-up reservation information may be missed, and re-reservation queuing is needed, which brings much trouble to pick-up work in the chemical industry park, such as traffic jam, long queuing time and the like. In view of the situation, the application provides a technical scheme for flexibly adjusting the delivery time of the vehicle according to the check-in time of the vehicle, so as to solve the problems.
The method comprises the steps of firstly, obtaining the check-in time of a target vehicle at a check-in place, wherein the preset distance is reserved between the check-in place and a goods picking place in a park, if a user checks in, the user indicates that the user is still a preset distance away from the goods picking place in the park, and the user is preparing to pick up goods in the park.
There are various forms of acquisition of the check-in time, such as providing a check-in page at the destination vehicle terminal in some embodiments of the present application, and the driver can manually check-in at the destination vehicle terminal when the vehicle arrives at the check-in place. In other embodiments of the present application, an electronic fence may be disposed at a predetermined distance from the periphery of the park, wherein the distance between the electronic fence and the park is not less than the predetermined distance; and acquiring and taking the time when the user arrives at the electronic fence as the actual check-in time of the user. That is to say, can set up a round of fence apart from garden department at a certain distance, when the target vehicle reachd fence department, the management end of control fence just can obtain the signal of target vehicle to this confirms that the target vehicle volume has arrived the place of registering, and then has confirmed to carry out the user and has carried out the action of registering, and has confirmed the time of registering of target vehicle according to signal acquisition time, has saved the composition that needs artifical the participation with fence, has improved the accuracy of the time of registering.
Step S120: judging whether the sign-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pickup location.
Then judging whether the check-in time meets a preset time condition, if so, indicating that the target vehicle can arrive at a delivery place in the park in advance for a period of time, predicting the time of the target vehicle arriving at the delivery place to obtain the predicted time of the target vehicle arriving at the delivery place, and predicting the vehicle transportation condition in the park at the predicted time; and if the vehicle transportation condition meets the condition of picking up goods in advance, generating a first goods picking-up instruction and sending the first goods picking-up instruction to the target vehicle terminal, so that a driver of the target vehicle drives the target vehicle to pick up goods in advance.
The preset time condition is not limited in the present application, and may be 9 a.m.: 00 is the critical time, at 9: the vehicles checked in before 00 all meet the preset time condition; in some embodiments of the present application, for each target vehicle, a predicted check-in time range may be determined according to its historical delivery record, there are several relationships between the check-in time of the target vehicle and the predicted check-in time range, and in the first case, the check-in time of the target vehicle is within the predicted check-in time range, in which case, the target vehicle will deliver the delivery according to the original plan without performing any operation. Alternatively, the check-in time of the target vehicle may be earlier than the earliest time in the predicted check-in time range by a time period, in which case the check-in time of the target vehicle may be considered to satisfy the preset time condition.
Because what this application was applicable to is the pick-up scene in the chemical industry refinery garden, consequently, except considering time factor, the road condition has still been considered in this application to reduce the probability that the hazardous event takes place.
Under the condition that the check-in time of the target vehicle meets the preset time condition, whether the goods picking plan of the target vehicle is adjusted or not can be determined according to the vehicle transportation condition in the forecast time park, if the adjustment needs to be made, a first goods picking instruction is generated and sent to the target vehicle terminal, and therefore a driver of the target vehicle can drive the target vehicle to pick goods in advance according to the first goods picking instruction.
And predicting the time when the target vehicle arrives at the goods picking place according to the check-in time of the target vehicle to obtain the predicted time if the first goods picking instruction is generated. Then, the vehicle transportation situation in the prediction time park is predicted, and in the case that the vehicle transportation situation meets the advance delivery condition, the first delivery instruction is generated to instruct the target vehicle to deliver the goods in advance. In some embodiments of the present application, the predicted time may be determined according to, but is not limited to, the following method: predicting the first time when the target vehicle reaches a goods picking place in the park according to the running speed of the target vehicle, the first position of the target vehicle and the road condition information of the goods picking place; and taking the first time as the predicted time. That is, when determining the prediction time, the traveling distance of the target vehicle to the pickup location in the yard, the traveling speed of the target vehicle, and the road condition of the pickup location are taken into full consideration to improve the accuracy of the prediction.
As can be seen from the method shown in fig. 1: the method and the device for the delivery of the goods of the target vehicle have the advantages that the target vehicle can not necessarily arrive at the designated area completely according to the reservation information on time to deliver the goods, the check-in time of the target vehicle is obtained, whether the check-in time meets the requirement of delivering the goods in advance or not is determined according to the preset time condition, if yes, the time that the user arrives at the designated place in the park from the check-in place is predicted, the time and the vehicle transportation condition in the park meet the requirement of delivering the goods in advance or not is predicted, and if yes, the target user can be informed of delivering the goods in advance. The method integrates the reservation queuing mechanism with the path planning method, is applied to the situation of picking up goods in the chemical refinery, and can flexibly adjust the picking-up time of the user according to the actual signing-in time of the user; thereby achieving the purposes of relieving traffic jam and reducing queuing time of users; the goods lifting efficiency in the chemical industry park is obviously improved, the time cost and the economic cost of chemical transportation are reduced, and the practicability is high.
In some embodiments of the present application, the method further comprises: acquiring reservation information of a target vehicle; and determining the goods picking reservation information of the target vehicle according to the reservation information, and pushing the goods picking reservation information to the target vehicle terminal. The goods picking reservation information comprises goods picking prediction time range;
then, judging whether the check-in time meets a preset time condition or not, including:
and determining whether the check-in time meets a preset time condition or not according to the check-in time and the predicted goods picking time range.
In some embodiments of the present application, the pick-up reservation information of the target vehicle is determined according to the reservation information filled by the driver of the target vehicle, and the pick-up reservation information is pushed to the terminal of the target vehicle, so that the driver of the target vehicle can drive the target vehicle by referring to the pick-up reservation information and arrive at a designated area in the park to pick up goods.
Specifically, the reservation information of the target vehicle is obtained, and the reservation information includes but does not include the identity information of the target vehicle, such as license plate information, and may also include information such as the type of pickup of the user, the pickup amount, and the pickup date. According to the information, a delivery plan can be planned for the user, and the delivery plan is formed into delivery reservation information. In some embodiments of the application, some personalized services can be provided for the user, such as the intention picking time of the user, and personalized parameters of the user can be taken into account when planning a picking plan for the user, so that the picking plan meets the personalized setting of the user as much as possible.
After determining the pick-up reservation information, pushing the pick-up reservation information to a target vehicle terminal, wherein the target vehicle terminal can comprise but is not limited to vehicle-mounted navigation bound with a target vehicle, a mobile phone of a driver of the target vehicle and the like. The specific method can be sent to the mobile phone of the target vehicle driver in a short message mode, and can also be displayed in an application program APP of the mobile phone of the target vehicle driver or a visual front-end interface of vehicle navigation. The driver of the target vehicle can drive the target vehicle to a designated delivery site in the park according to the indication information in the delivery reservation information to extract the goods. In some embodiments of the present application, the pick-up reservation information may include, but is not limited to, a feasible route, a predicted pick-up time range, etc., and may also include credentials that the user needs to bring, etc.
The planning of the feasible path can be realized by using a navigation technology in the prior art, and the feasible path can comprise a plurality of paths for the user to select. For the determination of the starting point and the ending point of the feasible route, the following mode can be referred to, if the vehicle is determined to be a vehicle arriving at a park in the historical time according to the vehicle identity information in the reserved goods-taking information of the user, and the starting point can be obtained according to the historical record; the user may also be prompted to fill in or locate their geographic location; if the vehicle arrives at the park for the first time to pick up, the user may be prompted to fill in or locate their geographic location.
In addition, the pick-up reservation information may also include a serial number in line, and the driver of the target vehicle may queue to pick up the goods based on the received serial number.
In some embodiments of the present application, obtaining subscription information of a target user includes: providing a front-end page, wherein the front-end page comprises a plurality of user reservation information configuration items; wherein, the user reservation information configuration item at least comprises: the system comprises a vehicle identity information configuration item, a goods picking type configuration item, a goods picking amount configuration item and a goods picking date configuration item; and acquiring reservation information of the target user through the front-end page in response to the configuration instruction of the reservation information configuration item of each user.
For the convenience of the use of the user, the Application can be formed into a front-end Application program (APP), for example, the APP is installed in the target vehicle terminal device, the user can submit the reservation information in the APP, a display interface of the APP comprises a plurality of user reservation information configuration items, and the user reservation information configuration items at least comprise a vehicle identity information configuration item, a pickup category configuration item, a pickup amount configuration item and a pickup date configuration item; and the user submits after completing the filling, and the server executing the application responds to the configuration instruction of the reservation information configuration item of each user and acquires the reservation information of the target user through the front-end page.
It should be noted that, at the server executing the present application, configuration rules, configuration types, and the like are set, which correspond to the user reservation information configuration items in the front-end interface one by one.
In some embodiments of the present application, determining pick-up reservation information for a target vehicle based on reservation information includes: determining a predicted goods picking time range of a target vehicle reaching a designated goods picking place in the park according to the appointment information and the submission time of the configuration instruction; acquiring a first prediction result of the type and the position of goods loaded by each vehicle in the park within the prediction time range of goods picking; determining a feasible path of the target vehicle according to the road condition of the park and the first prediction result; and taking the feasible path and the predicted goods picking time range as goods picking reservation information of the target vehicle.
In some embodiments of the present application, the reservation information includes at least vehicle identity information, pick-up category, pick-up amount, and pick-up date; the pick-up reservation information at least comprises a feasible path and a predicted pick-up time range. The forecasting method for forecasting the picking time range can be determined according to reservation information filled by a user and the submitting time for submitting a configuration instruction, and because a target vehicle arrives at a designated picking place in a park and a certain time is consumed from the start of loading to the completion of loading after arriving at the picking place, the data can be determined according to historical data, so that the forecasting picking time range is determined.
The feasible path technology can refer to the existing navigation technology, obtain a first prediction result of the types and the positions of goods loaded by each vehicle in the park within the prediction time range of goods picking, and then determine the feasible path of the target vehicle according to the road conditions of the park, including but not limited to the entrance and exit of the park, the park road and the first prediction result. Compared with the prior art, the feasible paths of the embodiments of the application are realized based on the first prediction results of the types and the positions of the goods loaded by the vehicles in the garden, more factors are considered, and the safety of vehicle transportation in the garden is guaranteed.
In some embodiments of the present application, on the premise that the predicted pickup time range of the target vehicle is determined, the following method may be further referred to determine whether the check-in time satisfies the preset time condition: determining whether the sign-in time is earlier than the minimum value of the predicted goods-picking time range by a first preset time length, if so, determining that the sign-in time meets a preset time condition; otherwise, determining that the check-in time does not meet the preset time condition.
The first preset time length can be limited according to actual requirements, for example, the first preset time length can be determined according to the distance from the check-in place to the pickup place in the garden, which is assumed here to be 30min, and the predicted pickup time range is assumed to be 01: 00: 00 to 02: 00: 00, if the check-in time of the target vehicle is 12: 00: 00, the minimum value of the predicted picking time range of the check-in time and the distance of the target vehicle is 01: 00: 00, advancing by 1h, and if 1h is more than 30min, determining that the sign-in time meets the preset time condition; assume that the check-in time of the target vehicle is 12: 40: 00, the minimum value of the predicted picking time range of the check-in time and the distance of the target vehicle is 01: 00: 00 is advanced by 20min, and if 20min is not more than 30min, the actual check-in time is determined not to meet the preset time condition.
In some embodiments of the present application, determining whether to generate the first pick order based on vehicle traffic within the forecasted time campus comprises: determining a second prediction result of the type and the position of goods loaded by each vehicle in the park at the prediction time; judging whether the second prediction result meets an instruction generation condition or not, and if so, generating a first goods picking instruction; if not, the first goods picking instruction is not generated.
Whether the first instruction is generated or not can be determined through a prediction means, specifically, a second prediction result of the types and the positions of goods loaded by each vehicle in the park at the prediction time is determined, the second prediction result can be considered as the transportation condition of the vehicles in the park at the prediction time, whether the second prediction result meets the instruction generation condition or not is judged, and if the second prediction result meets the instruction generation condition, a first goods picking instruction is generated; if not, the first goods picking instruction is not generated.
The determination of the second prediction may be performed in conjunction with reservation information for each vehicle, the delivery status of each vehicle, and a locating device on the vehicle.
For the preset generation condition for determining whether to generate the first pick-up instruction, the present application is not limited, and in some embodiments of the present application, the following recommended method may be used, specifically, if there is no vehicle having a reaction relationship with the goods loaded on the target vehicle on the pick-up road of the target vehicle, and the density of vehicles on the road is less than the preset threshold, it is determined that the second prediction result satisfies the instruction generation condition; otherwise, the second prediction result does not meet the instruction generation condition. In order to ensure the safety in the park, dual standards are set to determine whether the vehicle transportation condition of the park road meets the condition of picking up goods in advance. Firstly, judging whether vehicles which have a reaction relation with goods loaded by a target vehicle exist on a goods taking road of the target vehicle, and secondly, judging whether the vehicle density on the road is smaller than a preset threshold value. Due to the particularity of the properties of the goods, some mandatory regulations sometimes exist in the goods taking process of the chemical refinery plant, for example, vehicles carrying sulfuric acid and vehicles carrying potassium permanganate can not meet in the same direction or opposite directions, and in order to meet the mandatory regulations, the safety in the park can be ensured to the greatest extent through the arrangement of the double conditions.
In some embodiments of the present application, the method further comprises: if the target vehicle does not check in within a second preset time length exceeding the maximum value of the predicted goods picking time range, acquiring a second position of the target vehicle;
and planning new goods picking reservation information for the target vehicle according to the second position and the goods picking reservation information of the target vehicle and pushing the new goods picking reservation information to the target vehicle terminal so that the target vehicle arrives at a goods picking place according to the new goods picking reservation information.
If the current time exceeds the maximum value of the predicted goods picking time range by a second preset time length, the check-in time of the target vehicle is not obtained, the target vehicle is late, at this time, the target vehicle cannot extract the goods according to the original plan with a high probability, so as to facilitate the user to extract the goods, the method can plan new goods picking reservation information for the user and push the information to the user so that the user can pick goods according to the new goods picking reservation information, specifically, the current position information of the target user is firstly obtained, the time that the user can check in is predicted by combining road condition information, then, new goods picking reservation information is planned for the user by combining the information such as the types and the quantity of goods to be picked in the reservation information, the new pick-up reservation information may include information such as a new predicted check-in time range, a queuing number, etc. so that the user can pick up the goods according to the new pick-up reservation information.
In some embodiments of the present application, the method further comprises: and adjusting the goods picking reservation information of other vehicles except the target vehicle according to the first goods picking command. And adjusting the goods picking reservation information of other vehicles except the target vehicle according to the first goods picking command so that the transportation condition of the vehicles in the park meets the goods picking condition limit. If the target vehicle gets goods in advance, the goods picking plan originally planned for other vehicles may change, and at this time, the goods picking reservation information of other vehicles can be adjusted, that is, new goods picking reservation information is generated for other vehicles, so as to achieve the purpose of flexible and dynamic adjustment.
Fig. 2 is a schematic flow chart illustrating a reservation queuing method according to another embodiment of the present application, and as can be seen from fig. 2, the present embodiment includes:
and acquiring reservation information of the target user, wherein the reservation information comprises a vehicle ID, a goods picking type, a goods picking amount and a goods picking date.
And generating reserved goods picking information according to the reserved information of the target user, and sending the reserved goods picking information to the target user terminal, wherein the reserved goods picking information comprises a predicted sign-in time range and a predicted goods picking time range.
And whether the check-in time of the target vehicle is acquired before the latest moment of the predicted check-in time range, and if so, whether the check-in time is in the predicted check-in time range is judged.
If yes, no operation is executed, and the process is ended; if not, whether the check-in time meets the preset time condition is judged.
If the check-in time does not meet the preset time condition, no operation is executed; if yes, determining the predicted time of the target vehicle reaching the goods picking place in the park and the vehicle transportation condition in the predicted time park; judging whether the vehicle transportation condition meets a preset generation condition, if so, generating a first goods picking instruction, sending the first goods picking instruction to a target vehicle terminal so that a driver of the target vehicle drives the target vehicle to pick goods in advance, and adjusting goods picking reservation information of other vehicles except the target vehicle according to the first goods picking instruction; and if the vehicle transportation condition does not meet the preset generation condition, not executing any operation, and ending the process.
And if the check-in time of the target vehicle is not obtained within the preset time after the latest moment of the predicted check-in time range, obtaining the position information of the target vehicle, planning new delivery reservation information for the user according to the current position information of the target vehicle and the reservation information of the target vehicle, and pushing the new delivery reservation information to the target vehicle terminal.
Fig. 3 is a schematic structural diagram of a reservation queuing apparatus according to an embodiment of the present application, and as can be seen from fig. 3, the apparatus 300 includes:
an acquisition unit 310 for acquiring a check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
the judging and generating unit 320 is used for judging whether the check-in time meets a preset time condition, if so, determining whether to generate a first goods picking instruction according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
In some embodiments of the present application, the apparatus further comprises: the planning unit is used for acquiring reservation information of the target vehicle; and determining the goods picking reservation information of the target vehicle according to the reservation information, and pushing the goods picking reservation information to the target vehicle terminal.
In some embodiments of the present application, in the above apparatus, the obtaining unit 310 is configured to provide a front-end page, where the front-end page includes a plurality of reservation information configuration items; wherein the reservation information configuration item at least comprises: the system comprises a vehicle identity information configuration item, a goods picking type configuration item, a goods picking amount configuration item and a goods picking date configuration item; and responding to a configuration instruction of each user reservation information configuration item, and acquiring reservation information of the target user through the front-end page.
In some embodiments of the present application, in the above apparatus, a planning unit is configured to determine a predicted pickup time range for the target vehicle to reach a designated pickup location in the park according to the reservation information and a submission time of the configuration instruction; acquiring a first prediction result of the type and the position of goods loaded by each vehicle in the park within the prediction time range for picking up goods; determining a feasible path of the target vehicle according to the road condition of the park and the first prediction result; and taking the feasible path and the predicted goods picking time range as goods picking reservation information of the target vehicle.
In some embodiments of the present application, in the above apparatus, the obtaining unit 310 is configured to set an electronic fence at a check-in place around the campus; and acquiring and taking the time when the target vehicle arrives at the electronic fence as the check-in time of the user.
In some embodiments of the present application, in the above apparatus, the determining and generating unit 320 is configured to determine whether the check-in time is earlier than a minimum value of the predicted pickup time range by a first preset time period, and if so, determine that the check-in time satisfies a preset time condition; otherwise, determining that the check-in time does not meet the preset time condition.
In some embodiments of the present application, in the above apparatus, the determining and generating unit 320 is configured to predict a first time when the target vehicle arrives at a pickup location in the park according to a traveling speed of the target vehicle, a first location of the target vehicle, and road condition information of the pickup location; and taking the first time as a predicted time.
In some embodiments of the present application, in the above apparatus, the determining and generating unit 320 is configured to determine a second prediction result of the type and the position of the goods loaded on each vehicle in the park at the prediction time; judging whether the second prediction result meets an instruction generation condition, and if so, generating the first goods picking instruction; and if not, not generating the first goods picking instruction.
In some embodiments of the application, the planning unit is further configured to obtain a second location where the target vehicle is located if the target vehicle is not checked in for a second preset duration exceeding the maximum value of the predicted pickup time range; and planning new goods picking reservation information for the target vehicle according to the second position and the goods picking reservation information of the target vehicle and pushing the new goods picking reservation information to the target vehicle terminal.
In some embodiments of the present application, the planning unit is further configured to adjust the pick-up reservation information of other vehicles other than the target vehicle according to the first pick-up instruction.
It should be noted that the reservation queuing apparatus can implement the reservation queuing method one by one, and details are not repeated.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the reservation queuing device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
judging whether the check-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
The method performed by the reservation queuing apparatus according to the embodiment shown in fig. 3 of the present application can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method executed by the reservation queuing apparatus in fig. 3, and implement the function of the reservation queuing apparatus in the embodiment shown in fig. 3, which is not described herein again in this embodiment of the present application.
An embodiment of the present application further provides a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which, when executed by an electronic device including a plurality of application programs, enable the electronic device to perform the method performed by the reservation queuing apparatus in the embodiment shown in fig. 3, and are specifically configured to perform:
acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
judging whether the check-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. 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 apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (13)
1. A reservation queuing method, the method comprising:
acquiring the check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
judging whether the check-in time meets a preset time condition, if so, determining whether a first goods picking instruction is generated according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
2. The method of claim 1, further comprising:
acquiring reservation information of a target vehicle;
determining goods picking reservation information of the target vehicle according to the reservation information, and pushing the goods picking reservation information to the target vehicle terminal, wherein the goods picking reservation information comprises a goods picking prediction time range;
then, the determining whether the check-in time meets a preset time condition includes:
and determining whether the check-in time meets a preset time condition or not according to the check-in time and the predicted goods picking time range.
3. The method of claim 2, wherein the obtaining reservation information for the target vehicle comprises:
providing a front-end page, the front-end page including a plurality of reservation information configuration items; wherein the reservation information configuration item at least comprises: the system comprises a vehicle identity information configuration item, a goods picking type configuration item, a goods picking amount configuration item and a goods picking date configuration item;
and responding to a configuration instruction of each user reservation information configuration item, and acquiring reservation information of the target user through the front-end page.
4. The method of claim 3, wherein determining pick-up reservation information for the target vehicle based on the reservation information comprises:
determining the predicted goods picking time range of the target vehicle reaching the designated goods picking place in the park according to the reservation information and the submitting time of the configuration instruction;
acquiring a first prediction result of the type and the position of goods loaded by each vehicle in the park within the prediction time range for picking up goods;
determining a feasible path of the target vehicle according to the road condition of the park and the first prediction result;
and taking the feasible path and the predicted goods picking time range as goods picking reservation information of the target vehicle.
5. The method of claim 1, wherein the obtaining a check-in time of the target vehicle at a check-in location comprises:
arranging an electronic fence at the position around the park at a preset distance;
and acquiring and taking the time when the target vehicle arrives at the electronic fence as the check-in time of the user.
6. The method of claim 2, wherein determining whether the check-in time satisfies a predetermined time condition based on a check-in time and the predicted pick-up time range comprises:
determining whether the sign-in time is earlier than the minimum value of the predicted goods picking time range by a first preset time length, if so, determining that the sign-in time meets a preset time condition; otherwise, determining that the check-in time does not meet the preset time condition.
7. The method of claim 1, wherein the predicted time is determined according to the following method:
predicting the first time when the target vehicle reaches a goods picking place in the garden according to the running speed of the target vehicle, the first position of the target vehicle and the road condition information of the goods picking place;
and taking the first time as a predicted time.
8. The method of claim 1, wherein determining whether to generate the first pick order based on vehicle traffic at the forecasted time campus comprises:
determining a second prediction result of the type and the position of goods loaded by each vehicle in the park at the prediction time;
judging whether the second prediction result meets an instruction generation condition, and if so, generating the first goods picking instruction; and if not, not generating the first goods picking instruction.
9. The method of claim 2, further comprising:
if the target vehicle does not check in within a second preset time length exceeding the maximum value of the predicted goods picking time range, acquiring a second position of the target vehicle;
and planning new goods picking reservation information for the target vehicle according to the second position and the goods picking reservation information of the target vehicle and pushing the new goods picking reservation information to the target vehicle terminal.
10. The method of claim 2, further comprising:
and adjusting the goods picking reservation information of other vehicles except the target vehicle according to the first goods picking command.
11. A reservation queuing apparatus, the apparatus comprising:
an acquisition unit configured to acquire a check-in time of a target vehicle at a check-in place; the check-in place is a preset distance away from a goods picking place in the garden;
the judging and generating unit is used for judging whether the sign-in time meets a preset time condition or not, and if so, determining whether a first goods picking instruction is generated or not according to the vehicle transportation condition in the forecast time park and sending the first goods picking instruction to a target vehicle terminal; the predicted time is the predicted time when the target vehicle arrives at the pick-up location.
12. An electronic device, comprising: a processor; and a memory arranged to store computer executable instructions that, when executed, cause the processor to perform the method of any of claims 1 to 10.
13. A computer readable storage medium storing one or more programs which, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-10.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049087A (en) * | 2022-06-17 | 2022-09-13 | 六六云链科技(宁波)有限公司 | Reservation queuing method, device, server, storage medium and system |
| CN117764382A (en) * | 2023-12-21 | 2024-03-26 | 四川川航物流有限公司 | Intelligent goods picking method, device, system and storage medium |
-
2021
- 2021-10-19 CN CN202111216734.XA patent/CN114118486A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115049087A (en) * | 2022-06-17 | 2022-09-13 | 六六云链科技(宁波)有限公司 | Reservation queuing method, device, server, storage medium and system |
| CN117764382A (en) * | 2023-12-21 | 2024-03-26 | 四川川航物流有限公司 | Intelligent goods picking method, device, system and storage medium |
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