Intelligent milk car scheduling method and device, electronic equipment and storage medium

Abstract

The invention provides a milk car intelligent scheduling method and device, electronic equipment and a storage medium, and is applied to a processing end, the processing end is connected with a client, and the method comprises the following steps: obtaining a reservation task request initiated by the client; under the condition that the reservation task request is approved, matching appointed park entering time of entering an appointed park for the to-be-processed milk vehicle; when the to-be-processed milk vehicle arrives at the designated park at the designated park entering time and the vehicle information of the to-be-processed milk vehicle collected in the designated park is matched with the vehicle information configured in the reservation task request, scheduling the to-be-processed milk vehicle to enter the designated park; and after the to-be-processed milk vehicle enters the designated park, scheduling the to-be-processed milk vehicle to be processed according to the milk vehicle processing flow matched with the business processing type. Automatic and reasonable dispatching of the milk vehicles is realized, so that the labor cost of the milk vehicles in the dispatching process can be reduced, and the treatment efficiency of the milk vehicles to be treated in each process crenel is improved.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device, electronic equipment and storage medium for intelligent scheduling of milk trucks. Background Art

[0002] For milk collected on the ranch, milk trucks are required to load the milk into the designated park to complete a series of processing procedures including sampling, testing, weighing, unloading, and washing.

[0003] It is known from relevant technologies that currently, the milk trucks entering the designated park and the series of processing processes arranged for the milk trucks often require human participation and assistance, which increases the labor cost of the milk trucks in the scheduling process. In addition, since humans cannot fully grasp the processing progress of each process port in the park, the milk trucks may wait for too long or be congested in the park.

[0004] Therefore, finding a milk truck scheduling method that can automatically and reasonably schedule milk trucks has become a current research hotspot. Summary of the Invention

[0005] The present invention provides a method, device, electronic equipment and storage medium for intelligent scheduling of milk carts, which can realize automatic and reasonable scheduling of milk carts, thereby reducing the labor cost during the scheduling process and improving the processing efficiency of milk carts to be processed at each process port.

[0006] The present invention provides an intelligent milk truck scheduling method, which is applied to a processing end, wherein the processing end establishes a connection with a client, and the method comprises: obtaining a reservation task request initiated by the client, wherein the reservation task request at least includes vehicle information of a milk truck to be processed and a business processing type of the milk truck to be processed; if the reservation task request is reviewed and approved, matching a designated entry time for the milk truck to be processed to enter a designated park; if the milk truck to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk truck to be processed collected at the designated park matches the vehicle information configured in the reservation task request, scheduling the milk truck to be processed to enter the designated park; after the milk truck to be processed enters the designated park, scheduling the milk truck to be processed to be processed according to a milk truck processing flow that matches the business processing type.

[0007] According to a method for intelligent scheduling of milk carts provided by the present invention, the milk cart processing process includes a plurality of processing process nodes, and each of the processing process nodes corresponds to a plurality of processing stations capable of performing processing of the processing process nodes; before scheduling the milk carts to be processed for processing according to the milk cart processing process matching the business processing type, the method further comprises: obtaining a first number of milk carts waiting for processing at each of the processing stations; based on the plurality of the first numbers, determining a target processing station from the plurality of processing stations, wherein the target processing station is the processing station with the smallest first number; and scheduling the milk carts to be processed for processing according to the milk cart processing process matching the business processing type, specifically comprising: scheduling the milk carts to be processed for processing according to the milk cart processing process to perform process processing of the processing process node at the target processing station.

[0008] According to a method for intelligent scheduling of milk trucks provided by the present invention, after determining a target processing station from among the plurality of processing stations based on the plurality of first quantities, the method further comprises: generating a navigation map for reaching the target processing station, and sending the navigation map to the client, so that the driver of the milk truck to be processed can drive to the target processing station according to the navigation map.

[0009] According to a method for intelligent scheduling of milk carts provided by the present invention, the method further includes: if the process processing of the processing process node at the target processing station fails, stopping the milk cart to be processed from entering the next processing process node of the processing process node; and controlling the milk cart to be processed to enter the re-verification process processing of the processing process node.

[0010] According to a method for intelligent scheduling of milk carts provided by the present invention, the method further includes: if the process processing of the processing process node is successful at the target processing station, scheduling the milk cart to be processed to enter the next processing process node of the processing process node for processing until the processing of each processing process node is completed for the milk cart to be processed; after the processing of each processing process node is completed for the milk cart to be processed, scheduling the milk cart to be processed to leave the designated park.

[0011] According to a method for intelligent scheduling of milk carts provided by the present invention, the method further comprises: recording respectively the entry time of the milk cart to be processed into the designated park, the exit time of the milk cart to be processed leaving the designated park, and the processing time and processing result of the milk cart to be processed at each processing flow node.

[0012] According to the intelligent scheduling method for milk carts provided by the present invention, the processing flow nodes include a sampling processing flow node, an inspection processing flow node, a weighing processing flow node, a milk collection processing flow node, and a cleaning processing flow node for milk carts to be processed.

[0013] The present invention also provides an intelligent milk truck scheduling device, which is applied to a processing end, and the processing end establishes a connection with a client. The device includes: an acquisition module, which is used to obtain a reservation task request initiated by the client, wherein the reservation task request at least includes vehicle information of a milk truck to be processed and a business processing type of the milk truck to be processed; a matching module, which is used to match a designated entry time for the milk truck to be processed to a designated park if the reservation task request is reviewed and approved; a first scheduling module, which is used to schedule the milk truck to be processed to enter the designated park if the milk truck to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk truck to be processed collected at the designated park matches the vehicle information configured in the reservation task request; and a second scheduling module, which is used to schedule the milk truck to be processed to be processed according to a milk truck processing flow that matches the business processing type after the milk truck to be processed enters the designated park.

[0014] The present invention also provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the intelligent scheduling method for milk trucks as described above is implemented.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the intelligent scheduling method for milk trucks as described above is implemented.

[0016] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any one of the above-mentioned methods for intelligent scheduling of milk trucks.

[0017] The intelligent milk truck scheduling method, device, electronic device, and storage medium provided by the present invention are applied to a processing end. The processing end establishes a connection with a client; obtains a reservation task request initiated by the client; and, if the reservation task request is approved, matches a designated entry time for the milk truck to be processed into a designated park. If the milk truck arrives at the designated park at the designated entry time and its vehicle information collected at the designated park matches the vehicle information configured in the reservation task request, the milk truck is scheduled to enter the designated park. After the milk truck enters the designated park, it is dispatched to the milk truck processing flow that matches the business processing type. This achieves automatic and reasonable milk truck scheduling, thereby reducing labor costs during the milk truck scheduling process and improving the processing efficiency of milk trucks at each process port. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 This is one of the flow charts of the intelligent scheduling method for milk trucks provided by the present invention;

[0020] Figure 2 It is a flow chart of scheduling milk carts to be processed according to a milk cart processing flow matching a business processing type provided by the present invention;

[0021] Figure 3 This is the second flow chart of the intelligent scheduling method for milk trucks provided by the present invention;

[0022] Figure 4 This is a schematic structural diagram of the intelligent scheduling device for milk carts provided by the present invention;

[0023] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0025] According to relevant technology, when the driver of the milk truck arrives at the park gate, the security personnel need to manually open the gate. After entering, the operation at each link also depends on manual command, which is inefficient and difficult to manage.

[0026] The intelligent dispatching method for milk trucks provided by the present invention can be applied to scenarios where milk trucks enter a production park to carry out related processing procedures. The intelligent dispatching method for milk trucks provided by the present invention can automatically dispatch milk trucks to enter and exit the production park conveniently and quickly, and within the production park, reach the dock entrance along the prescribed route to complete the operation and leave smoothly, thus improving the efficiency of the entire process. The entire processing process does not require human intervention.

[0027] The intelligent milk truck scheduling method provided by the present invention can be applied to a processing end, wherein the processing end can be a production management system. The processing end can establish a connection with a client, wherein the client can be the end operated by the driver of the milk truck to be processed.

[0028] Figure 1 This is one of the flow charts of the intelligent scheduling method for milk trucks provided by the present invention.

[0029] The following will be combined Figure 1 The process of the intelligent scheduling method for milk trucks provided by the present invention is described.

[0030] In an exemplary embodiment of the present invention, Figure 1 It can be seen that the intelligent scheduling method for milk trucks may include steps 110 to 140, and each step will be described below.

[0031] In step 110, a task reservation request initiated by the client is obtained.

[0032] In one embodiment, the client may be a terminal operated by a driver of a milk truck to be processed. During the application process, the driver of the milk truck to be processed may initiate a task reservation request for the process processing of the milk truck to be processed in advance on the client, and may send the task reservation request to the processing terminal.

[0033] The task reservation request may at least include vehicle information of the milk truck to be processed and the business processing type of the milk truck to be processed.

[0034] In another embodiment, the client may fill in the milk truck task reservation information, which may include, for example, vehicle information of the milk truck to be processed, the business processing type of the milk truck to be processed, driver information, and the like.

[0035] In another embodiment, if the appointment task request is an urgent task information, it can be sent to the processing end for approval and can be arranged first after approval. Before the milk truck to be processed signs in, the appointment information can be checked / cancelled.

[0036] In step 120, when the reservation task request is approved, a designated entry time for the milk truck to be processed into the designated park is matched.

[0037] In step 130 , when the milk truck to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk truck to be processed collected in the designated park matches the vehicle information configured in the reservation task request, the milk truck to be processed is dispatched to enter the designated park.

[0038] In another embodiment, if the reservation task request is approved, a designated entry time for the milk cart to be processed can be matched to the designated park. The designated entry time for the milk cart to be processed can be determined based on the number of milk carts that have been reserved, thereby reasonably coordinating the process start time of each milk cart to be processed.

[0039] In another embodiment, the designated park may be equipped with a video capture device. When a milk truck to be processed arrives at the designated park at the designated park entrance time, the video capture device may be used to capture vehicle information of the milk truck arriving at the designated park. A determination is then made as to whether the vehicle information of the milk truck arriving at the designated park matches the vehicle information configured in the task reservation request. If the vehicle information of the milk truck to be processed captured at the designated park matches the vehicle information configured in the task reservation request, the milk truck to be processed may be dispatched to the designated park.

[0040] In another embodiment, when a vehicle successfully signs in and enters the venue through license plate recognition, the gate camera intelligently recognizes the license plate, matches the license plate with the appointment task information, and determines whether the vehicle can enter. If it can enter, the information is transmitted to the park gate, and the gate automatically opens, allowing the vehicle to enter without feeling. After the vehicle successfully signs in and enters, the gate sends back information, and the logistics vehicle management system records the vehicle license plate, entry time, entry gate number and other information.

[0041] In another embodiment, confirming that a pending milk truck arrives at a designated park at a designated time can be accomplished through entry check-in. In the application, entry check-in can be accomplished by scanning a QR code on the client. Check-in is successful only if the vehicle is within the scheduled time and the park is not fully occupied. Furthermore, the same pending milk truck cannot check in multiple times. If the check-in is successful, the mini-program will notify the user of the successful check-in and display the gate number and queue number, which will be continuously updated. If the check-in fails, the WeChat official account will notify the user of the failure and the reason for the failure.

[0042] In step 140, after the milk cart to be processed enters the designated park, the milk cart to be processed is dispatched to be processed according to the milk cart processing flow matching the business processing type.

[0043] In one embodiment, after a pending milk truck enters a designated park, it can be dispatched according to a milk truck processing flow matching the type of service being handled. It should be noted that different types of service being handled by a pending milk truck will correspond to different milk truck processing flows. In this embodiment, after a pending milk truck enters a designated park, it is dispatched according to a milk truck processing flow matching the type of service being handled. This enables automated and rational dispatching of milk trucks, thereby reducing labor costs during the dispatch process and improving the processing efficiency of pending milk trucks at each process port.

[0044] The intelligent milk truck scheduling method provided by the present invention is applied to a processing end. The processing end establishes a connection with a client; obtains a reservation task request initiated by the client; and, if the reservation task request is approved, matches a designated entry time for the milk truck to be processed to a designated park. If the milk truck arrives at the designated park at the designated entry time and the vehicle information collected at the designated park matches the vehicle information configured in the reservation task request, the milk truck is scheduled to enter the designated park. After the milk truck enters the designated park, it is dispatched to the milk truck processing flow that matches the business processing type. This method achieves automatic and reasonable milk truck scheduling, thereby reducing labor costs during the milk truck scheduling process and improving the processing efficiency of milk trucks at each process port.

[0045] Figure 2 It is a flow chart of dispatching milk carts to be processed according to a milk cart processing flow matching a business processing type, as provided by the present invention.

[0046] The following will be combined Figure 2 The process of dispatching milk trucks to be processed according to the milk truck processing flow that matches the business processing type is explained.

[0047] In another exemplary embodiment of the present invention, the milk truck processing flow may include a plurality of processing flow nodes, and each processing flow node may correspond to a plurality of processing stations capable of performing processing on the processing flow node.

[0048] In another exemplary embodiment of the present invention, the processing flow nodes may include a sampling processing flow node, an inspection processing flow node, a weighing processing flow node, a milk collection processing flow node, and a milk truck cleaning processing flow node.

[0049] For ease of explanation, the present invention will be described by taking as an example that the processing flow nodes may include a sampling processing flow node, an inspection processing flow node, a weighing processing flow node, a milk collection processing flow node, and a milk truck cleaning processing flow node.

[0050] Combine Figure 2 It can be seen that the milk cart to be processed is dispatched and processed according to the milk cart processing flow matching the business processing type, which may include steps 210 to 230. Each step will be described below.

[0051] In step 210, a first number of milk carts waiting for processing at each processing station is obtained.

[0052] In step 220, a target processing station is determined from among the plurality of processing stations based on the plurality of first numbers, wherein the target processing station is the processing station with the smallest first number.

[0053] In one embodiment, different processing flow nodes may correspond to multiple processing stations. For example, a sampling process node may correspond to five processing stations, an inspection process node may correspond to four processing stations, and a milk truck cleaning process node may correspond to five processing stations.

[0054] Taking a sampling process node as an example, a first number of milk carts waiting for processing in the five processing stations corresponding to the sampling process node can be obtained. Furthermore, based on multiple first numbers, a target processing station can be determined among the multiple processing stations, where the target processing station is the processing station with the smallest first number. For example, if the third processing station has the smallest first number of milk carts waiting for processing, then the third processing station can be selected as the target processing station.

[0055] In step 230, the milk cart to be processed is scheduled to perform process processing of the process node at the target processing station according to the milk cart processing process.

[0056] In another embodiment, pending milk carts can be scheduled to undergo process processing at target processing stations according to the milk cart processing flow. Continuing with the previously described embodiment, the milk cart processing flow indicates that pending milk carts require sampling. Therefore, the sampling process node can be processed at the previously determined target processing station. This embodiment rationally coordinates the processing station with the least number of milk carts waiting for processing, improving processing efficiency and reducing waiting time for pending milk carts. This improves the processing efficiency of pending milk carts at each process port.

[0057] In another exemplary embodiment of the present invention, continuing with the above-mentioned embodiment as an example, after determining a target processing station from a plurality of processing stations based on the plurality of first quantities, the intelligent scheduling method for milk trucks may further include the following steps:

[0058] A navigation map to the target processing station is generated and sent to the client so that the driver of the milk truck to be processed can drive to the target processing station according to the navigation map.

[0059] In one embodiment, a navigation map can be generated to reach the target processing station. After a milk truck successfully checks in, the mini program can push internal park route instructions to the client to assist the driver in reaching the designated target processing station, thereby reducing waiting time for milk trucks and improving the processing efficiency of milk trucks at various process ports.

[0060] Figure 3 This is the second flow chart of the intelligent scheduling method for milk trucks provided by the present invention.

[0061] In order to further introduce the intelligent dispatching method of milk cart provided by the present invention, Figure 3 Provide explanation.

[0062] In an exemplary embodiment of the present invention, Figure 3 It can be seen that the intelligent scheduling method for milk trucks may include steps 310 to 380, wherein steps 310 to 240 are respectively the same as or similar to steps 110 to 140 described above. For their specific implementation and beneficial effects, please refer to the above description and will not be repeated in this embodiment. Steps 350 to 380 will be introduced separately below.

[0063] In step 350, if the process processing of the processing flow node fails at the target processing station, the milk truck to be processed is stopped and enters the next processing flow node of the processing flow node.

[0064] In step 360, the milk truck to be processed is controlled to enter the re-verification process of the processing process node.

[0065] In one embodiment, when the process processing of the processing flow node at the target processing station fails, the sampling process is continued as an example. If the milk cart to be processed fails to sample during the sampling process, the milk cart to be processed is stopped and enters the next processing flow node of the processing flow node, such as the inspection processing flow node.

[0066] Furthermore, in order to avoid process failure caused by operational errors in the previous processing flow node, the milk truck to be processed can be controlled to enter the re-verification process of the processing flow node, thereby improving the accuracy of the process processing process of the processing flow node for the milk truck to be processed again.

[0067] In step 370, when the target processing station successfully processes the process node, the milk truck to be processed is scheduled to enter the next process node of the process node for processing until the processing of each process node is completed.

[0068] In step 380, after the milk truck to be processed completes the processing of each processing flow node, the milk truck to be processed is scheduled to leave the designated park.

[0069] In another embodiment, when the target processing station successfully performs the process processing of the processing flow node, the sampling process is continued as an example for explanation. If the milk cart to be processed successfully samples during the sampling process, the milk cart to be processed is scheduled to enter the next processing flow node of the processing flow node for processing, such as the inspection processing flow node, until the processing of each processing flow node is completed for the milk cart to be processed.

[0070] Furthermore, after the milk truck to be processed completes the processing of each processing flow node, the milk truck to be processed can be dispatched to leave the designated park, thereby effectively avoiding the problem of vehicle congestion in the designated park.

[0071] In another exemplary embodiment of the present invention, continuing to use the above-mentioned embodiment as an example for description, the intelligent scheduling method for milk trucks may further include the following steps:

[0072] The entry time of the milk truck to be processed into the designated park, the exit time of the milk truck to be processed leaving the designated park, and the processing time and processing results of the milk truck to be processed at each processing flow node are recorded respectively.

[0073] In this embodiment, the running tracks and operating times of milk trucks to be processed are recorded, allowing milk trucks entering and leaving the park to be traced. This also prevents traffic congestion caused by excessive influx of external vehicles, which can also cause some security problems within the park. The vehicle dispatching method ensures that external vehicles arrive at designated locations according to the established planned routes and times to complete their work. This process is visualized, the milk trucks' travel plans are clearer, and the time they spend in the park is reduced.

[0074] As can be seen from the above description, the intelligent milk truck scheduling method provided by the present invention is applied to a processing end. The processing end establishes a connection with a client; obtains a reservation task request initiated by the client; and, if the reservation task request is approved, matches a designated entry time for the milk truck to be processed into a designated park. If the milk truck arrives at the designated park at the designated entry time and the vehicle information collected at the designated park matches the vehicle information configured in the reservation task request, the milk truck is scheduled to enter the designated park. After the milk truck enters the designated park, it is dispatched to the milk truck processing flow that matches the business processing type. This method achieves automatic and reasonable milk truck scheduling, thereby reducing labor costs during the milk truck scheduling process and improving the processing efficiency of milk trucks at each process port.

[0075] Based on the same concept, the present invention also provides an intelligent scheduling device for a milk truck.

[0076] The intelligent scheduling device for milk carts provided by the present invention is described below. The intelligent scheduling device for milk carts described below and the intelligent scheduling method for milk carts described above can be referred to each other.

[0077] Figure 4 It is a structural diagram of the intelligent scheduling device for milk carts provided by the present invention.

[0078] In an exemplary embodiment of the present invention, the intelligent scheduling device for milk trucks can be applied to a processing end, which establishes a connection with a client. Figure 4It can be seen that the intelligent scheduling device for milk trucks may include an acquisition module 410, a matching module 420, a first scheduling module 430, and a second scheduling module 440. Each module will be described below.

[0079] The acquisition module 410 may be configured to acquire a reservation task request initiated by the client, wherein the reservation task request at least includes vehicle information of a milk truck to be processed and a business processing type of the milk truck to be processed;

[0080] The matching module 420 may be configured to match a designated entry time for the milk truck to be processed into a designated park if the reservation task request is approved;

[0081] The first scheduling module 430 may be configured to schedule the milk cart to be processed to enter the designated park if the milk cart to be processed arrives at the designated park at the designated park entry time and the vehicle information of the milk cart to be processed collected at the designated park matches the vehicle information configured in the appointment task request;

[0082] The second scheduling module 440 may be configured to schedule the milk cart to be processed to be processed according to a milk cart processing flow matching the business processing type after the milk cart to be processed enters the designated park.

[0083] In another exemplary embodiment of the present invention, the milk truck processing process includes a plurality of processing process nodes, each of which corresponds to a plurality of processing stations capable of processing the processing process node; the second scheduling module 440 may be further configured to:

[0084] Obtaining a first number of milk carts waiting for processing at each processing station;

[0085] determining a target processing station among the plurality of processing stations based on the plurality of the first numbers, wherein the target processing station is a processing station with the smallest first number;

[0086] The second scheduling module 440 can also use the following method to schedule the milk cart to be processed according to the milk cart processing flow matching the business processing type:

[0087] The milk cart to be processed is scheduled to perform process processing of the process node at the target processing station according to the milk cart processing process.

[0088] In yet another exemplary embodiment of the present invention, the second scheduling module 440 may be further configured to:

[0089] A navigation map for reaching the target processing station is generated, and the navigation map is sent to the client, so that the driver of the milk truck to be processed can drive to the target processing station according to the navigation map.

[0090] In yet another exemplary embodiment of the present invention, the second scheduling module 440 may be further configured to:

[0091] If the target processing station fails to process the process node, stopping the milk cart to be processed from entering the next process node of the process node;

[0092] Control the milk cart to be processed to enter the re-verification process of the processing process node.

[0093] In yet another exemplary embodiment of the present invention, the second scheduling module 440 may be further configured to:

[0094] When the target processing station successfully processes the process node, scheduling the milk cart to be processed to enter the next process node of the processing process node for processing until the processing of each process node is completed for the milk cart to be processed;

[0095] After the milk cart to be processed completes processing at each processing flow node, the milk cart to be processed is dispatched to leave the designated park.

[0096] In yet another exemplary embodiment of the present invention, the second scheduling module 440 may be further configured to:

[0097] The entry time of the milk cart to be processed into the designated park, the exit time of the milk cart to be processed leaving the designated park, and the processing time and processing result of the milk cart to be processed at each processing flow node are recorded respectively.

[0098] In another exemplary embodiment of the present invention, the processing flow nodes include a sampling processing flow node, an inspection processing flow node, a weighing processing flow node, a milk collection processing flow node, and a milk truck cleaning processing flow node.

[0099] Figure 5 An example of a physical structure diagram of an electronic device is shown below. Figure 5As shown, the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute the intelligent milk cart scheduling method, which is applied to the processing end, and the processing end establishes a connection with the client. The method includes: obtaining a reservation task request initiated by the client, wherein the reservation task request at least includes vehicle information of the milk cart to be processed and the business processing type of the milk cart to be processed; if the reservation task request is approved, matching a designated entry time for the milk cart to enter a designated park for the milk cart to be processed; if the milk cart to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk cart to be processed collected at the designated park matches the vehicle information configured in the reservation task request, scheduling the milk cart to be processed to enter the designated park; after the milk cart to be processed enters the designated park, scheduling the milk cart to be processed according to the milk cart processing flow matching the business processing type.

[0100] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0101] In another aspect, the present invention further provides a computer program product, comprising a computer program, which may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is capable of executing the intelligent milk cart scheduling method provided by each of the above methods. The method is applied to a processing end, wherein the processing end establishes a connection with a client. The method comprises: obtaining a reservation task request initiated by the client, wherein the reservation task request includes at least vehicle information of a milk cart to be processed and a business processing type of the milk cart to be processed; if the reservation task request is approved, matching a designated entry time for the milk cart to enter a designated park for the milk cart to be processed; if the milk cart to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk cart to be processed collected at the designated park matches the vehicle information configured in the reservation task request, scheduling the milk cart to be processed to enter the designated park; and after the milk cart to be processed enters the designated park, scheduling the milk cart to be processed according to a milk cart processing flow matching the business processing type.

[0102] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent milk cart scheduling method provided by the above-mentioned methods, and is applied to a processing end, wherein the processing end establishes a connection with a client, and the method comprises: obtaining a reservation task request initiated by the client, wherein the reservation task request includes at least vehicle information of a milk cart to be processed and a business processing type of the milk cart to be processed; if the reservation task request is reviewed and approved, matching a designated entry time for the milk cart to be processed to enter a designated park; if the milk cart to be processed arrives at the designated park at the designated entry time and the vehicle information of the milk cart to be processed collected at the designated park matches the vehicle information configured in the reservation task request, scheduling the milk cart to be processed to enter the designated park; and after the milk cart to be processed enters the designated park, scheduling the milk cart to be processed to be processed according to a milk cart processing flow matching the business processing type.

[0103] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0104] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0105] It should be further understood that, although operations are described in a particular order in the accompanying drawings in the embodiments of the present invention, this should not be construed as requiring that the operations be performed in the particular order shown or in a serial order, or that all of the operations shown be performed to obtain the desired results. In certain circumstances, multitasking and parallel processing may be advantageous.

[0106] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for intelligent scheduling of milk trucks, characterized in that: Applied to a processing end, the processing end establishes a connection with a client, the method comprising: Obtaining a task reservation request initiated by the client, wherein the task reservation request at least includes vehicle information of a milk truck to be processed and a business processing type of the milk truck to be processed; If the appointment task request is approved, the milk truck to be processed is matched with a designated entry time to enter the designated park; When the milk cart to be processed arrives at the designated park at the designated park entry time and the vehicle information of the milk cart to be processed collected in the designated park matches the vehicle information configured in the appointment task request, dispatching the milk cart to be processed to enter the designated park; After the milk cart to be processed enters the designated park, the milk cart to be processed is dispatched to be processed according to a milk cart processing flow matching the business processing type.

2. The intelligent scheduling method for milk trucks according to claim 1, characterized in that: The milk truck processing process includes a plurality of processing process nodes, and each of the processing process nodes corresponds to a plurality of processing stations capable of processing the processing process nodes; Before dispatching the milk cart to be processed according to the milk cart processing flow matching the business processing type, the method further includes: Obtaining a first number of milk carts waiting for processing at each of the processing stations; determining a target processing station among the plurality of processing stations based on the plurality of the first numbers, wherein the target processing station is a processing station with the smallest first number; The dispatching of the milk cart to be processed is performed according to a milk cart processing flow matching the business processing type, specifically comprising: The milk cart to be processed is scheduled to perform process processing of the process node at the target processing station according to the milk cart processing process.

3. The intelligent dispatching method for milk trucks according to claim 2, characterized in that: After determining a target processing station from among the plurality of processing stations based on the plurality of the first quantities, the method further includes: A navigation map for reaching the target processing station is generated, and the navigation map is sent to the client, so that the driver of the milk truck to be processed can drive to the target processing station according to the navigation map.

4. The intelligent scheduling method for milk trucks according to claim 2, characterized in that: The method further comprises: If the target processing station fails to process the process node, stopping the milk cart to be processed from entering the next process node of the process node; Control the milk truck to be processed to perform re-verification process processing of the processing process node.

5. The intelligent dispatching method for milk trucks according to claim 2, characterized in that: The method further comprises: When the target processing station successfully processes the process node, scheduling the milk cart to be processed to enter the next process node of the processing process node for processing until the processing of each process node is completed for the milk cart to be processed; After the milk cart to be processed completes processing at each processing flow node, the milk cart to be processed is dispatched to leave the designated park.

6. The intelligent dispatching method for milk trucks according to claim 5, characterized in that: The method further comprises: The entry time of the milk cart to be processed into the designated park, the exit time of the milk cart to be processed leaving the designated park, and the processing time and processing result of the milk cart to be processed at each processing flow node are recorded respectively.

7. The intelligent scheduling method for milk trucks according to any one of claims 2 to 6, characterized in that: The processing flow nodes include a sampling processing flow node, an inspection processing flow node, a weighing processing flow node, a milk collection processing flow node, and a milk truck cleaning processing flow node.

8. An intelligent dispatching device for milk trucks, characterized in that: Applied to a processing end, the processing end establishes a connection with a client, and the device includes: An acquisition module, configured to acquire a reservation task request initiated by the client, wherein the reservation task request at least includes vehicle information of a milk truck to be processed and a business processing type of the milk truck to be processed; A matching module, configured to match a designated entry time for the milk truck to be processed into a designated park if the reservation task request is approved; a first scheduling module, configured to schedule the milk cart to be processed to enter the designated park if the milk cart to be processed arrives at the designated park at the designated park entry time and the vehicle information of the milk cart to be processed collected at the designated park matches the vehicle information configured in the appointment task request; The second scheduling module is used to schedule the milk cart to be processed to be processed according to a milk cart processing flow matching the business processing type after the milk cart to be processed enters the designated park.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the intelligent scheduling method for milk trucks according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the intelligent scheduling method for milk trucks according to any one of claims 1 to 7 is implemented.

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