Pipeline task adaptation method and device for intelligent liquid outlet machine and computer equipment

Abstract

The invention relates to a pipeline task adaptation method and device for an intelligent liquid outlet machine and computer equipment. The method comprises the following steps: obtaining product formula information of each product type, current pipeline information and current order information of an intelligent liquid outlet machine of each store, and generating pipeline adaptation information of the intelligent liquid outlet machine of each store in each product type; for each store, pipeline task information corresponding to the current order information is generated through pipeline adaptation information of the intelligent liquid outlet machine of the store in each product type, and execution feedback information, new pipeline information and new order information of the intelligent liquid outlet machine of the store during execution of the current order information are collected; and generating new pipeline task information corresponding to the new order information of the store through a pipeline task adjustment strategy, replacing the current order information with the new order information, and returning to execute the above steps according to the new pipeline task information and the replaced pipeline task information. By adopting the method, the product meal delivery efficiency and meal delivery accuracy of the intelligent liquid delivery machine can be improved.

Description

Technical Field

[0001] The present application relates to the fields of intelligent control system analysis and automation equipment technology, and in particular to a pipeline task adaptation method, device and computer equipment for an intelligent liquid discharge machine. Background Art

[0002] In the fields of intelligent control, pipeline engineering, and automated equipment, task dispatching and pipeline adaptation for intelligent liquid dispensers are important research areas. Intelligent liquid dispensers are devices that automatically control liquid delivery and are widely used in the catering, chemical, and pharmaceutical industries. In the catering industry, intelligent liquid dispensers can automatically adjust the flow and temperature of liquids based on the needs of different dishes, thereby ensuring the quality and taste of the dishes. At the same time, intelligent liquid dispensers can also be adapted to the restaurant's pipeline system to ensure that liquids can be smoothly delivered to each outlet. Therefore, how to ensure task dispatching and food delivery efficiency of intelligent liquid dispensers is currently the focus of research on the optimization control of intelligent liquid dispensers.

[0003] Traditional technical solutions rely on manual control, assigning tasks based on the production requirements of different products and then manually selecting the appropriate delivery methods and channels for each task. However, manual control is inefficient and cannot meet the modern catering industry's demand for efficient production. Furthermore, manual control introduces certain lags and inaccuracies, which can easily lead to product delivery anomalies, resulting in poor delivery efficiency for intelligent liquid dispensers. Summary of the Invention

[0004] Based on this, it is necessary to provide a pipeline task adaptation method, device, computer equipment, computer-readable storage medium and computer program product for an intelligent liquid discharge machine to address the above technical problems.

[0005] In a first aspect, the present application provides a pipeline task adaptation method for an intelligent liquid dispensing machine, comprising:

[0006] Obtain product formula information for each product type, current pipeline information for the smart liquid dispenser in each store, and current order information for each store, and generate pipeline adaptation information for each product type for the smart liquid dispenser in each store based on the product formula information for each product type and the current pipeline information for the smart liquid dispenser in each store;

[0007] For each store, based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, and using the store's intelligent liquid dispensing machine's pipeline adaptation information for each product type, pipeline task information corresponding to the current order information is generated. Furthermore, execution feedback information of the store's intelligent liquid dispensing machine in executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store are collected.

[0008] Based on the execution feedback information of the store's intelligent liquid dispenser when executing the current order information, and the new pipeline information of the store's intelligent liquid dispenser, the pipeline task adjustment strategy is used to generate new pipeline task information corresponding to the store's new order information, and the new order information replaces the current order information. The new pipeline task information replaces the pipeline task information, and the process returns to the step of collecting the execution feedback information of the store's intelligent liquid dispenser when executing the current order information, the new pipeline information of the store's intelligent liquid dispenser, and the store's new order information.

[0009] Optionally, generating pipeline adaptation information of each store's intelligent liquid dispenser for each product type based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispenser in each store includes:

[0010] Based on the product formula information of each product type, the product task process corresponding to each product type and the material requirement information of each material type of each product type are identified; and based on the current pipeline information of the intelligent liquid dispensing machine of each store, the material type transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each pipeline are identified;

[0011] For each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material handling requirement information of each material type;

[0012] Based on the material requirement of each material type, the material processing requirement information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, a pipeline sequence corresponding to each material type is generated, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, the pipeline adaptation information of the product type is determined.

[0013] Optionally, before generating pipeline task information corresponding to the current order information based on the current order information of the store and the current pipeline information of the intelligent liquid dispensing machine of the store through the pipeline adaptation information of each product type of the intelligent liquid dispensing machine of the store, the method further includes:

[0014] Based on the current order information of the store, identifying the target product type corresponding to the current order information and the additional order requirement information corresponding to the current order information, and identifying the material requirement information of each additional material type corresponding to the additional order requirement information and the additional material requirement information of each material type of the target product type;

[0015] Adjusting the material requirement information of each material type of the target product type based on the material requirement information of each additional material type and the additional material requirement information of each material type to obtain new material requirement information of each new material type of the target product type;

[0016] The new material requirement information of each new material type of the target product type is used to replace the material requirement information of each material type of the target product type, and the target product type is used to replace the product type. Return to execute the material requirement information of each material type based on the product type, identify the material requirement quantity of each material type, and the material processing requirement information of each material type, and obtain the new pipeline adaptation information of the target product type.

[0017] Optionally, the generating of pipeline task information corresponding to the current order information based on the current order information of the store and the current pipeline information of the intelligent liquid dispensing machine of the store, through the pipeline adaptation information of the intelligent liquid dispensing machine of the store for each product type, includes:

[0018] Based on the current pipeline information of the intelligent liquid dispensing machine in the store, identifying the remaining information of the material barrel corresponding to each pipeline and the pipeline status information corresponding to each pipeline;

[0019] Adapting each target pipeline corresponding to the target product type through a pipeline adaptation strategy based on the new pipeline adaptation information of the target product type, the remaining information of the material barrel corresponding to each pipeline, and the pipeline status information corresponding to each pipeline;

[0020] Based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, the pipeline operation task of each target pipeline is generated, and the pipeline operation tasks of all target pipelines are used as the pipeline task information corresponding to the current order information.

[0021] Optionally, the step of generating new pipeline task information corresponding to the new order information of the store through a pipeline task adjustment strategy based on the execution feedback information of the current order information by the intelligent liquid dispensing machine of the store and the new pipeline information of the intelligent liquid dispensing machine of the store includes:

[0022] Replace the current order information with the new order information, and replace the pipeline information with the new pipeline information;

[0023] Return the current order information executed at the store and the current pipeline information of the store's intelligent liquid dispenser. Generate the pipeline task information corresponding to the current order information based on the pipeline adaptation information of the store's intelligent liquid dispenser for each product type, and obtain the pipeline task information corresponding to the new order information.

[0024] Based on the execution feedback information of the current order information, a pipeline adjustment strategy for each pipeline is generated, and based on the pipeline adjustment strategy for each pipeline, the pipeline task information corresponding to the new order information is adjusted to obtain new pipeline task information corresponding to the new order information.

[0025] Optionally, generating a pipeline adjustment strategy for each pipeline based on the execution feedback information of the current order information, and adjusting the pipeline task information corresponding to the new order information based on the pipeline adjustment strategy of each pipeline to obtain new pipeline task information corresponding to the new order information includes:

[0026] Based on the execution feedback information of the current order information, extracting pipeline abnormality information of each abnormal pipeline through a feature extraction network, and generating a pipeline processing solution for each abnormal pipeline based on the pipeline abnormality information of each abnormal pipeline;

[0027] If the pipeline task information corresponding to the new order information does not include an abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information;

[0028] If the pipeline task information corresponding to the new order information includes an abnormal pipeline, determining whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline;

[0029] In the case where an abnormal pipeline needs to be replaced, based on the abnormal pipeline, the new pipeline adaptation information adapted to the target product type corresponding to the new order information is adjusted to obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and the first pipeline adaptation information is used to replace the new pipeline adaptation information. The process returns to execute the new pipeline adaptation information based on the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline. Through the pipeline adaptation strategy, the target pipeline steps corresponding to the target product type are adapted to obtain the new pipeline task information corresponding to the new order information.

[0030] In the case where there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, the pipeline operation task of the abnormal pipeline is adjusted through the task adjustment strategy to obtain a new pipeline operation task of the abnormal pipeline, and the new pipeline operation task of the abnormal pipeline replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information to obtain new pipeline task information corresponding to the new order information.

[0031] In a second aspect, the present application further provides a pipeline task adaptation device for an intelligent liquid dispensing machine, comprising:

[0032] an acquisition module, configured to acquire product formula information of each product type, current pipeline information of the intelligent liquid dispensing machine of each store, and current order information of each store, and generate pipeline adaptation information of the intelligent liquid dispensing machine of each store for each product type based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispensing machine of each store;

[0033] A generation module is configured to generate, for each store, pipeline task information corresponding to the current order information based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, using the store's intelligent liquid dispensing machine's pipeline adaptation information for each product type, and collect execution feedback information of the store's intelligent liquid dispensing machine in executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store;

[0034] An iterative module is used to generate new pipeline task information corresponding to the new order information of the store based on the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information and the new pipeline information of the store's intelligent liquid dispensing machine through a pipeline task adjustment strategy, and replace the current order information with the new order information, and replace the pipeline task information with the new pipeline task information, and return to the execution step of collecting the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the store's new order information.

[0035] Optionally, the acquisition module is specifically configured to:

[0036] Based on the product formula information of each product type, the product task process corresponding to each product type and the material requirement information of each material type of each product type are identified; and based on the current pipeline information of the intelligent liquid dispensing machine of each store, the material type transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each pipeline are identified;

[0037] For each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material handling requirement information of each material type;

[0038] Based on the material requirement of each material type, the material processing requirement information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, a pipeline sequence corresponding to each material type is generated, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, the pipeline adaptation information of the product type is determined.

[0039] Optionally, the device further includes:

[0040] a first identification module configured to identify, based on current order information of the store, a target product type corresponding to the current order information and additional order requirement information corresponding to the current order information, and to identify material requirement information of each additional material type corresponding to the additional order requirement information and additional material requirement information of each material type of the target product type;

[0041] an adjustment module, configured to adjust the material requirement information of each material type of the target product type based on the material requirement information of each additional material type and the additional material requirement information of each material type, to obtain new material requirement information of each new material type of the target product type;

[0042] The second identification module is used to replace the material requirement information of each material type of the target product type with the new material requirement information of each new material type of the target product type, and replace the product type with the target product type, and return to execute the material requirement information of each material type based on the product type, identify the material requirement quantity of each material type, and the material processing requirement information of each material type, to obtain new pipeline adaptation information of the target product type.

[0043] Optionally, the generating module is specifically configured to:

[0044] Based on the current pipeline information of the intelligent liquid dispensing machine in the store, identifying the remaining information of the material barrel corresponding to each pipeline and the pipeline status information corresponding to each pipeline;

[0045] Adapting each target pipeline corresponding to the target product type through a pipeline adaptation strategy based on the new pipeline adaptation information of the target product type, the remaining information of the material barrel corresponding to each pipeline, and the pipeline status information corresponding to each pipeline;

[0046] Based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, the pipeline operation task of each target pipeline is generated, and the pipeline operation tasks of all target pipelines are used as the pipeline task information corresponding to the current order information.

[0047] Optionally, the iteration module is specifically used to:

[0048] Replace the current order information with the new order information, and replace the pipeline information with the new pipeline information;

[0049] Return the current order information executed at the store and the current pipeline information of the store's intelligent liquid dispenser. Generate the pipeline task information corresponding to the current order information based on the pipeline adaptation information of the store's intelligent liquid dispenser for each product type, and obtain the pipeline task information corresponding to the new order information.

[0050] Based on the execution feedback information of the current order information, a pipeline adjustment strategy for each pipeline is generated, and based on the pipeline adjustment strategy for each pipeline, the pipeline task information corresponding to the new order information is adjusted to obtain new pipeline task information corresponding to the new order information.

[0051] Optionally, the iteration module is specifically used to:

[0052] Based on the execution feedback information of the current order information, extracting pipeline abnormality information of each abnormal pipeline through a feature extraction network, and generating a pipeline processing solution for each abnormal pipeline based on the pipeline abnormality information of each abnormal pipeline;

[0053] If the pipeline task information corresponding to the new order information does not include an abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information;

[0054] If the pipeline task information corresponding to the new order information includes an abnormal pipeline, determining whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline;

[0055] In the case where an abnormal pipeline needs to be replaced, based on the abnormal pipeline, the new pipeline adaptation information adapted to the target product type corresponding to the new order information is adjusted to obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and the first pipeline adaptation information is used to replace the new pipeline adaptation information. The process returns to execute the new pipeline adaptation information based on the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline. Through the pipeline adaptation strategy, the target pipeline steps corresponding to the target product type are adapted to obtain the new pipeline task information corresponding to the new order information.

[0056] In the case where there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, the pipeline operation task of the abnormal pipeline is adjusted through the task adjustment strategy to obtain a new pipeline operation task of the abnormal pipeline, and the new pipeline operation task of the abnormal pipeline replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information to obtain new pipeline task information corresponding to the new order information.

[0057] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0058] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0059] In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0060] The above-mentioned pipeline task adaptation method, device and computer equipment for intelligent liquid dispensing machines obtain the product formula information of each product type, the current pipeline information of the intelligent liquid dispensing machines of each store, and the current order information of each store, and based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispensing machines of each store, generate the pipeline adaptation information of each store's intelligent liquid dispensing machine for each product type; for each store, based on the current order information of the store and the current pipeline information of the store's intelligent liquid dispensing machine, generate the pipeline task information corresponding to the current order information through the pipeline adaptation information of the store's intelligent liquid dispensing machine for each product type, and collect the store's intelligent liquid dispensing machine. The machine collects the execution feedback information of the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the new order information of the store; based on the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information and the new pipeline information of the store's intelligent liquid dispensing machine, the pipeline task adjustment strategy is used to generate new pipeline task information corresponding to the store's new order information, and the new order information is replaced by the new order information. The pipeline task information is replaced by the new pipeline task information, and the execution step of collecting the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the new order information of the store is returned to execution. This solution, after parsing the product formula of each product type, combines the current pipeline information of the intelligent liquid dispensing machines of different stores to adapt the pipeline adaptation information corresponding to each product type, so that pipeline adaptation strategies for different products are generated based on the pipeline status information of each current store, greatly improving production efficiency and solving the problem of low efficiency of manual control methods in the existing technology. Then, combined with the requirements of each current order information for the product type, the pipeline adaptation information of the product type required by the current order information is adjusted to obtain the pipeline task information corresponding to the current order information, thereby improving the adaptation accuracy and task execution accuracy of the pipeline task information corresponding to the current order information. This ensures that the product is delivered normally while avoiding the problem of abnormal product delivery. It avoids the problem of abnormal product delivery caused by the lag and inaccuracy of manual control methods. Finally, the terminal combines the execution feedback information of the current order information to intelligently adjust the new pipeline task information of the new order information, thereby flexibly adjusting the pipeline tasks of each order information, ensuring adaptive adjustment to pipeline abnormalities, and flexible pipeline task planning, with technical effects such as high degree of automation, avoidance of product delivery abnormalities, efficient new product shelving and high flexibility, thereby comprehensively improving the efficiency and delivery accuracy of the product delivery of the intelligent liquid dispensing machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0062] Figure 1 1 is a flow chart of a pipeline task adaptation method for an intelligent liquid dispensing machine in one embodiment;

[0063] Figure 2 A schematic diagram of a flow chart of an example of pipeline task adaptation for an intelligent liquid dispensing machine in one embodiment;

[0064] Figure 3 1 is a structural block diagram of a pipeline task adaptation device for an intelligent liquid dispensing machine in one embodiment;

[0065] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0067] The pipeline task adaptation method for intelligent liquid dispensing machines provided in embodiments of the present application can be applied to an intelligent control system for pipeline task adaptation for intelligent liquid dispensing machines. The system can be applied to a terminal, which can be, but is not limited to, various personal computers, laptops, mid-range computers, etc. The terminal analyzes the product formula for each product type and, based on the current pipeline information of intelligent liquid dispensing machines in different stores, adapts the pipeline adaptation information corresponding to each product type. This generates pipeline adaptation strategies for different products based on the current store pipeline status information, significantly improving production efficiency and addressing the low efficiency of manual control methods in the prior art. The system then adjusts the pipeline adaptation information for the product type required by each current order information based on the product type required by the current order information, obtaining pipeline task information corresponding to the current order information. This improves the adaptation accuracy and task execution accuracy of the pipeline task information corresponding to the current order information. This ensures normal product delivery while avoiding product delivery anomalies. This avoids the lag and inaccuracy of manual control methods that can easily lead to product delivery anomalies. Finally, the terminal combines the execution feedback information of the current order information to intelligently adjust the new pipeline task information of the new order information, thereby flexibly adjusting the pipeline tasks of each order information, ensuring adaptive adjustment to pipeline abnormalities, and flexible pipeline task planning. It has technical effects such as high degree of automation, avoidance of product delivery abnormalities, efficient new product shelving and high flexibility, thereby comprehensively improving the efficiency and accuracy of product delivery of the intelligent liquid dispensing machine.

[0068] In an exemplary embodiment, Figure 1 As shown, a pipeline task adaptation method for an intelligent liquid dispensing machine is provided, which is described by taking the application of the method to a terminal as an example, and includes the following steps S101 to S103.

[0069] Step S101, obtain the product formula information of each product type, the current pipeline information of the intelligent liquid dispensing machine of each store, and the current order information of each store, and based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispensing machine of each store, generate the pipeline adaptation information of each store's intelligent liquid dispensing machine for each product type.

[0070] In this embodiment, the terminal, in response to a staff member's information upload operation, obtains product formula information for each product type and, through pipeline sensors installed in each pipeline, collects current pipeline information for each store's intelligent liquid dispenser. Finally, the terminal receives order data fed back by each store's intelligent liquid dispenser and obtains current order information for each store. Then, based on the product formula information for each product type and the current pipeline information for each store's intelligent liquid dispenser, the terminal generates pipeline adaptation information for each store's intelligent liquid dispenser for each product type. The product formula information includes the ingredient quantity, ingredient status (temperature, morphology, etc.), and ingredient filling sequence for each ingredient type corresponding to that product type. The pipeline sensors in each pipeline can collect data such as pipeline temperature, pipeline flow rate, pipeline structural damage, pipeline infusion volume, and pipeline infusion shock. The current order information for each store obtained by the terminal includes the order quantity, order type, order user, and order demand information for each store. Based on the product formula information for each product type and the current pipeline information for each store's intelligent liquid dispenser, the terminal generates pipeline adaptation information for each store's intelligent liquid dispenser for each product type. Among them, the pipeline sequence corresponding to each material type includes the main pipeline corresponding to each material type, the alternative pipeline, and the alternative sequence between each alternative pipeline. The specific generation process will be described in detail later.

[0071] Step S102: For each store, based on the store's current order information and the current pipeline information of the store's intelligent liquid dispenser, the pipeline task information corresponding to the current order information is generated through the store's intelligent liquid dispenser's pipeline adaptation information for each product type, and the execution feedback information of the store's intelligent liquid dispenser in executing the current order information, the store's intelligent liquid dispenser's new pipeline information, and the store's new order information are collected.

[0072] In this embodiment, for each store, the terminal generates pipeline task information corresponding to the current order information based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, using the store's intelligent liquid dispensing machine's pipeline adaptation information for each product type. It also collects execution feedback information from the store's intelligent liquid dispensing machine when executing the current order information, the store's new pipeline information for the intelligent liquid dispensing machine, and the store's new order information. The pipeline task information corresponding to the current order information is the pipeline operation task for each target pipeline required by the current order. The specific generation process will be described in detail later. The collected execution feedback information includes feedback information such as user experience with the product and abnormal liquid dispensing information detected by the intelligent liquid dispensing machine.

[0073] Step S103, based on the execution feedback information of the store's intelligent liquid dispenser when executing the current order information, and the new pipeline information of the store's intelligent liquid dispenser, through the pipeline task adjustment strategy, generate new pipeline task information corresponding to the store's new order information, and replace the current order information with the new order information, and replace the pipeline task information with the new pipeline task information, and return to the execution step of collecting the store's intelligent liquid dispenser when executing the current order information, the store's intelligent liquid dispenser's new pipeline information, and the store's new order information.

[0074] In this embodiment, based on the execution feedback information from the store's intelligent liquid dispensing machine when executing the current order information and the new pipeline information of the store's intelligent liquid dispensing machine, the terminal generates new pipeline task information corresponding to the store's new order information through a pipeline task adjustment strategy, replaces the current order information with the new order information, and returns the execution step of collecting the execution feedback information from the store's intelligent liquid dispensing machine when executing the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the store's new order information. The pipeline task adjustment strategy is used to adjust the target pipelines adapted for the new order information and the pipeline execution order of each target pipeline.

[0075] Based on the above solution, after parsing the product formula of each product type, combined with the current pipeline information of the intelligent liquid dispensing machines in different stores, the pipeline adaptation information corresponding to each product type is adapted, so that based on the pipeline status information of each store, pipeline adaptation strategies for different products are generated, which greatly improves production efficiency and solves the problem of low efficiency of manual control methods in existing technologies. Then, combined with the requirements of each current order information for product types, the pipeline adaptation information of the product type required by the current order information is adjusted to obtain the pipeline task information corresponding to the current order information, thereby improving the adaptation accuracy and task execution accuracy of the pipeline task information corresponding to the current order information. This ensures that the product is delivered normally while avoiding the problem of abnormal product delivery. It avoids the problem of abnormal product delivery caused by the lag and inaccuracy of manual control methods. Finally, the terminal combines the execution feedback information of the current order information to intelligently adjust the new pipeline task information of the new order information, thereby flexibly adjusting the pipeline tasks of each order information, ensuring adaptive adjustment to pipeline abnormalities, and flexible pipeline task planning. It has technical effects such as high degree of automation, avoidance of product delivery abnormalities, efficient new product shelving and high flexibility, thereby comprehensively improving the efficiency and accuracy of product delivery of the intelligent liquid dispensing machine.

[0076] Optionally, based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispenser in each store, pipeline adaptation information of the intelligent liquid dispenser in each store for each product type is generated, including: based on the product formula information of each product type, identifying the product task process corresponding to each product type and the material requirement information of each material type of each product type, and based on the current pipeline information of the intelligent liquid dispenser in each store, identifying the material type transported by each pipeline of the intelligent liquid dispenser in each store and the pipeline function information of each pipeline; for each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material processing requirement information of each material type; based on the material requirement quantity of each material type, the material processing requirement information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, generating a pipeline sequence corresponding to each material type, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, determining the pipeline adaptation information of the product type.

[0077] In this embodiment, the terminal identifies the product task flow corresponding to each product type and the material demand information of each material type of each product type based on the product formula information of each product type, and identifies the material type transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each pipeline based on the current pipeline information of the intelligent liquid dispensing machine of each store. Among them, the product task flow is the liquid dispensing sequence, liquid dispensing volume, and liquid dispensing process of each product type. Among them, the material types transported by each pipeline include but are not limited to tea raw material type, clear water type, ice type, ingredient type, juice type and other types. Among them, the pipeline function information includes but is not limited to functions such as material transportation, material heating, material stirring, material mixing, and material refrigeration.

[0078] For each product type, the terminal identifies the required quantity and processing requirements for each material type based on the material requirement information for each material type. This processing requirement information includes, but is not limited to, heating, freezing, stirring, and sequential filling requirements. In other words, each processing requirement corresponds to the functional information of each pipeline.

[0079] Next, the terminal generates a pipeline sequence corresponding to each material type based on the material demand, material handling requirements, material types transported by each pipeline, and pipeline function information for each pipeline. This pipeline sequence is the output sequence of each pipeline that outputs that material type. If a pipeline has an abnormality, the pipeline following it in the sequence will replace it for material output.

[0080] Finally, the terminal determines the pipeline adaptation information of the product type based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type.

[0081] Based on the above solution, by analyzing the material requirements of each product type and the pipeline information of each pipeline, the pipeline adaptation information of each product type is adapted, thereby improving the accuracy and comprehensiveness of pipeline adaptation.

[0082] Optionally, based on the current order information of the store and the current pipeline information of the store's intelligent liquid dispenser, before the pipeline adaptation information of each product type is used by the store's intelligent liquid dispenser to generate the pipeline task information corresponding to the current order information, it also includes: based on the store's current order information, identifying the target product type corresponding to the current order information and the order additional demand information corresponding to the current order information, and identifying the material demand information of each additional material type corresponding to the order additional demand information, and the material additional demand information of each material type of the target product type; based on the material demand information of each additional material type and the material additional demand information of each material type, adjusting the material demand information of each material type of the target product type to obtain new material demand information of each new material type of the target product type; replacing the material demand information of each material type of the target product type with the new material demand information of each new material type of the target product type, and replacing the target product type with the product type, returning to execute the material demand information of each material type of the product type based on the material demand quantity of each material type and the material processing demand information step to obtain new pipeline adaptation information of the target product type.

[0083] In this embodiment, based on the store's current order information, the terminal identifies the target product type corresponding to the current order information, the additional order requirement information corresponding to the current order information, and the material requirement information for each additional material type corresponding to the additional order requirement information, as well as the additional material requirement information for each material type of the target product type. Additional material types are material types not included in the target product type, or material types included in the target product type but with different material requirements.

[0084] Based on the material requirement information for each additional material type and the additional material requirement information for each material type, the terminal adjusts the material requirement information for each material type of the target product type to obtain new material requirement information for each new material type of the target product type. The new material requirement information for each new material type includes the requirement information for both the material type and the additional material type of the target product type.

[0085] Then, the terminal replaces the material requirement information of each material type of the target product type with the new material requirement information of each new material type of the target product type, and replaces the product type with the target product type, and returns to execute the material requirement information of each material type based on the product type, identifies the material requirement quantity of each material type, and the material processing requirement information steps of each material type, and obtains the new pipeline adaptation information of the target product type.

[0086] Based on the above solution, by analyzing and adjusting the different additional needs of users, new pipeline adaptation information for generating target product types is generated, thereby improving the comprehensiveness and accuracy of product supply to users.

[0087] Optionally, based on the store's current order information and the current pipeline information of the store's intelligent liquid dispenser, the pipeline task information corresponding to the current order information is generated through the store's intelligent liquid dispenser's pipeline adaptation information for each product type, including: based on the store's current pipeline information of the intelligent liquid dispenser, identifying the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline; based on the new pipeline adaptation information of the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline, adapting each target pipeline corresponding to the target product type through the pipeline adaptation strategy; based on the product task process corresponding to the target product type, and the new material demand information of the new material type corresponding to each target pipeline, generating the pipeline operation task of each target pipeline, and using the pipeline operation tasks of all target pipelines as the pipeline task information corresponding to the current order information.

[0088] In this embodiment, the terminal identifies the remaining material barrel information and pipeline status information corresponding to each pipeline based on the current pipeline information of the store's intelligent liquid dispensing machine. The pipeline status information is used to represent the current operating status of the pipeline, including but not limited to normal status and abnormal status.

[0089] The terminal then adapts each target pipeline for the target product type using a pipeline adaptation strategy based on the new pipeline adaptation information for the target product type, the remaining material bucket information for each pipeline, and the pipeline status information for each pipeline. The pipeline adaptation strategy selects pipelines with material bucket remaining information greater than a preset material threshold, pipeline status as non-abnormal, and pipeline sequence as the target pipeline.

[0090] Finally, the terminal generates pipeline operation tasks for each target pipeline based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, and uses the pipeline operation tasks of all target pipelines as the pipeline task information corresponding to the current order information.

[0091] Based on the above solution, the target pipeline is screened based on the pipeline sequence, material barrel remaining information, and pipeline status, thereby improving the accuracy of screening the target pipeline.

[0092] Optionally, based on the execution feedback information of the store's intelligent liquid dispenser when executing the current order information and the new pipeline information of the store's intelligent liquid dispenser, new pipeline task information corresponding to the store's new order information is generated through the pipeline task adjustment strategy, including: replacing the current order information with the new order information, and replacing the pipeline information with the new pipeline information; returning the current order information executed in the store and the current pipeline information of the store's intelligent liquid dispenser, and generating the pipeline task information corresponding to the current order information through the pipeline adaptation information of the store's intelligent liquid dispenser for each product type, to obtain the pipeline task information corresponding to the new order information; based on the execution feedback information of the current order information, generate the pipeline adjustment strategy of each pipeline, and based on the pipeline adjustment strategy of each pipeline, adjust the pipeline task information corresponding to the new order information to obtain the new pipeline task information corresponding to the new order information.

[0093] In this embodiment, the terminal replaces the current order information with the new order information and the pipeline information with the new pipeline information. The terminal then returns the current order information being executed at the store and the current pipeline information of the store's intelligent liquid dispenser. Using the store's intelligent liquid dispenser's pipeline adaptation information for each product type, the terminal generates pipeline task information corresponding to the current order information, thereby obtaining pipeline task information corresponding to the new order information.

[0094] Next, the terminal generates pipeline adjustment strategies for each pipeline based on the execution feedback from the current order information. Based on these pipeline adjustment strategies, it adjusts the pipeline task information corresponding to the new order information, resulting in new pipeline task information corresponding to the new order information. The specific adjustment process will be described in detail later.

[0095] Based on the above solution, by combining execution feedback information and adjusting the pipeline task information of new orders, the accuracy of task completion for new orders and customer satisfaction are improved.

[0096] Optionally, based on the execution feedback information of the current order information, a pipeline adjustment strategy for each pipeline is generated, and based on the pipeline adjustment strategy for each pipeline, the pipeline task information corresponding to the new order information is adjusted to obtain new pipeline task information corresponding to the new order information, including: based on the execution feedback information of the current order information, the pipeline abnormality information of each abnormal pipeline is extracted through a feature extraction network, and based on the pipeline abnormality information of each abnormal pipeline, a pipeline processing solution for each abnormal pipeline is generated; when the pipeline task information corresponding to the new order information does not include the abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information; when the pipeline task information corresponding to the new order information includes the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline and the pipeline running task of the abnormal pipeline, it is determined whether the abnormal pipeline needs to be replaced; when the abnormal pipeline needs to be replaced, based on the abnormal pipeline, For normal pipelines, adjust the new pipeline adaptation information adapted to the target product type corresponding to the new order information, obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and replace the new pipeline adaptation information with the first pipeline adaptation information, return to execute the new pipeline adaptation information based on the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline, and adapt the target pipeline steps corresponding to the target product type through the pipeline adaptation strategy to obtain the new pipeline task information corresponding to the new order information; in the case where there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, adjust the pipeline operation task of the abnormal pipeline through the task adjustment strategy to obtain the new pipeline operation task of the abnormal pipeline, and replace the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information with the new pipeline operation task of the abnormal pipeline, to obtain the new pipeline task information corresponding to the new order information.

[0097] In this embodiment, the terminal uses a feature extraction network based on the execution feedback of the current order information to extract pipeline anomaly information for each abnormal pipeline. Based on this pipeline anomaly information, a pipeline treatment plan is generated for each abnormal pipeline. The feature extraction network is a text feature extraction network based on natural language processing technology. The pipeline anomaly information refers to pipeline information corresponding to pipeline failures, dirtiness, damage, and functional abnormalities.

[0098] In the case that the pipeline task information corresponding to the new order information does not include the abnormal pipeline, the terminal uses the pipeline task information corresponding to the new order information as the new pipeline task information corresponding to the new order information.

[0099] In the case where the pipeline task information corresponding to the new order information includes an abnormal pipeline, it is determined whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline.

[0100] If an abnormal pipeline needs to be replaced, the terminal adjusts the new pipeline adaptation information for the target product type corresponding to the new order information based on the abnormal pipeline, obtains the first pipeline adaptation information for the target product type corresponding to the new order information, replaces the new pipeline adaptation information with the first pipeline adaptation information, and returns to execute the new pipeline adaptation information based on the target product type, the remaining material barrel information corresponding to each pipeline, and the pipeline status information corresponding to each pipeline. Using the pipeline adaptation strategy, the terminal adapts the target pipeline steps corresponding to the target product type to obtain the new pipeline task information corresponding to the new order information. In other words, the terminal re-adapts the target pipeline for the new order information.

[0101] If the abnormal pipeline does not need to be replaced, the terminal adjusts the pipeline operation task of the abnormal pipeline based on the pipeline processing solution of the abnormal pipeline through the task adjustment strategy, obtains a new pipeline operation task for the abnormal pipeline, and replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information with the new pipeline operation task, thus obtaining the new pipeline task information corresponding to the new order information. In other words, by adjusting the processing process and the operation process of the target pipeline, the terminal ensures that the target pipeline repair process and the pipeline liquid discharge process do not affect each other, improving the normal operation of the pipeline, ensuring customer satisfaction and meal delivery rate.

[0102] Based on the above solution, by comprehensively analyzing different pipeline abnormal conditions, different pipeline operation information can be adapted to improve the accuracy and efficiency of pipeline operation control.

[0103] The application also provides an example of pipeline task adaptation for an intelligent liquid dispensing machine, such as Figure 2 As shown, the specific processing process includes the following steps:

[0104] Step S201, obtaining product formula information of each product type, current pipeline information of the intelligent liquid dispensing machine of each store, and current order information of each store.

[0105] Step S202: Based on the product formula information of each of the product types, identify the product task process corresponding to each of the product types and the material requirement information of each material type of each of the product types; and based on the current pipeline information of the intelligent liquid dispensing machine of each of the stores, identify the material types transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each of the pipelines.

[0106] Step S203 : for each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material processing requirement information of each material type.

[0107] Step S204: Based on the material demand of each material type, the material processing demand information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, a pipeline sequence corresponding to each material type is generated, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, the pipeline adaptation information of the product type is determined.

[0108] Step S205: Based on the current order information of the store, identify the target product type corresponding to the current order information and the additional order demand information corresponding to the current order information, and identify the material demand information of each additional material type corresponding to the additional order demand information and the additional material demand information of each material type of the target product type.

[0109] Step S206 , based on the material requirement information of each additional material type and the material additional requirement information of each material type, adjust the material requirement information of each material type of the target product type to obtain new material requirement information of each new material type of the target product type.

[0110] Step S207: Replace the material requirement information of each material type of the target product type with the new material requirement information of each new material type of the target product type, and replace the product type with the target product type, and return to step S203 to obtain new pipeline adaptation information of the target product type.

[0111] Step S208: Based on the current pipeline information of the intelligent liquid dispensing machine in the store, the remaining information of the material barrel corresponding to each pipeline and the pipeline status information corresponding to each pipeline are identified.

[0112] Step S209 , based on the new pipeline adaptation information of the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline, the target pipelines corresponding to the target product type are adapted through the pipeline adaptation strategy.

[0113] Step S210, based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, generates the pipeline operation task of each target pipeline, and uses the pipeline operation tasks of all target pipelines as the pipeline task information corresponding to the current order information.

[0114] Step S211: collecting execution feedback information of the store's intelligent liquid dispensing machine in executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store.

[0115] Step S212: Replace the current order information with the new order information, and replace the pipeline information with the new pipeline information.

[0116] Step S213 returns the current order information executed in the store and the current pipeline information of the intelligent liquid dispenser of the store. Through the pipeline adaptation information of the intelligent liquid dispenser of the store for each product type, the pipeline task information corresponding to the current order information is generated to obtain the pipeline task information corresponding to the new order information.

[0117] Step S214: Based on the execution feedback information of the current order information, a pipeline adjustment strategy for each of the pipelines is generated; based on the execution feedback information of the current order information, pipeline abnormality information of each abnormal pipeline is extracted through a feature extraction network; and based on the pipeline abnormality information of each of the abnormal pipelines, a pipeline processing solution for each of the abnormal pipelines is generated.

[0118] Step S215 , when the pipeline task information corresponding to the new order information does not include an abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information.

[0119] Step S216: When the pipeline task information corresponding to the new order information includes an abnormal pipeline, it is determined whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline.

[0120] Step S217: When the abnormal pipeline needs to be replaced, the new pipeline adaptation information adapted to the target product type corresponding to the new order information is adjusted based on the abnormal pipeline to obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and the first pipeline adaptation information is replaced with the new pipeline adaptation information, and the process returns to step S209 to obtain the new pipeline task information corresponding to the new order information.

[0121] Step S218, when there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, the pipeline operation task of the abnormal pipeline is adjusted through the task adjustment strategy to obtain a new pipeline operation task of the abnormal pipeline, and the new pipeline operation task of the abnormal pipeline replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information to obtain new pipeline task information corresponding to the new order information.

[0122] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0123] Based on the same inventive concept, embodiments of the present application also provide a pipeline task adaptation device for an intelligent liquid dispensing machine for implementing the aforementioned pipeline task adaptation method for an intelligent liquid dispensing machine. The implementation solution provided by this device is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the pipeline task adaptation device for an intelligent liquid dispensing machine provided below can be found in the above-mentioned limitations of the pipeline task adaptation method for an intelligent liquid dispensing machine, and will not be repeated here.

[0124] In an exemplary embodiment, Figure 3 As shown, a pipeline task adaptation device for an intelligent liquid dispensing machine is provided, comprising: an acquisition module 310, a generation module 320 and an iteration module 330, wherein:

[0125] An acquisition module 310 is configured to acquire product formula information for each product type, current pipeline information for each store's intelligent liquid dispensing machine, and current order information for each store, and generate pipeline adaptation information for each product type for each store's intelligent liquid dispensing machine based on the product formula information for each product type and the current pipeline information for each store's intelligent liquid dispensing machine.

[0126] A generation module 320 is configured to generate, for each store, pipeline task information corresponding to the current order information based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, using the pipeline adaptation information of the store's intelligent liquid dispensing machine for each product type, and collect execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store;

[0127] Iterative module 330 is used to generate new pipeline task information corresponding to the new order information of the store based on the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, and the new pipeline information of the store's intelligent liquid dispensing machine, through the pipeline task adjustment strategy, and replace the current order information with the new order information, and replace the pipeline task information with the new pipeline task information, and return to the execution step of collecting the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the store's new order information.

[0128] Optionally, the acquisition module 310 is specifically configured to:

[0129] Based on the product formula information of each product type, the product task process corresponding to each product type and the material requirement information of each material type of each product type are identified; and based on the current pipeline information of the intelligent liquid dispensing machine of each store, the material type transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each pipeline are identified;

[0130] For each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material handling requirement information of each material type;

[0131] Based on the material requirement of each material type, the material processing requirement information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, a pipeline sequence corresponding to each material type is generated, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, the pipeline adaptation information of the product type is determined.

[0132] Optionally, the device further includes:

[0133] a first identification module configured to identify, based on current order information of the store, a target product type corresponding to the current order information and additional order requirement information corresponding to the current order information, and to identify material requirement information of each additional material type corresponding to the additional order requirement information and additional material requirement information of each material type of the target product type;

[0134] an adjustment module, configured to adjust the material requirement information of each material type of the target product type based on the material requirement information of each additional material type and the additional material requirement information of each material type, to obtain new material requirement information of each new material type of the target product type;

[0135] The second identification module is used to replace the material requirement information of each material type of the target product type with the new material requirement information of each new material type of the target product type, and replace the product type with the target product type, and return to execute the material requirement information of each material type based on the product type, identify the material requirement quantity of each material type, and the material processing requirement information of each material type, to obtain new pipeline adaptation information of the target product type.

[0136] Optionally, the generating module 320 is specifically configured to:

[0137] Based on the current pipeline information of the intelligent liquid dispensing machine in the store, identifying the remaining information of the material barrel corresponding to each pipeline and the pipeline status information corresponding to each pipeline;

[0138] Adapting each target pipeline corresponding to the target product type through a pipeline adaptation strategy based on the new pipeline adaptation information of the target product type, the remaining information of the material barrel corresponding to each pipeline, and the pipeline status information corresponding to each pipeline;

[0139] Based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, the pipeline operation task of each target pipeline is generated, and the pipeline operation tasks of all target pipelines are used as the pipeline task information corresponding to the current order information.

[0140] Optionally, the iteration module 330 is specifically configured to:

[0141] Replace the current order information with the new order information, and replace the pipeline information with the new pipeline information;

[0142] Return the current order information executed at the store and the current pipeline information of the store's intelligent liquid dispenser. Generate the pipeline task information corresponding to the current order information based on the pipeline adaptation information of the store's intelligent liquid dispenser for each product type, and obtain the pipeline task information corresponding to the new order information.

[0143] Based on the execution feedback information of the current order information, a pipeline adjustment strategy for each pipeline is generated, and based on the pipeline adjustment strategy for each pipeline, the pipeline task information corresponding to the new order information is adjusted to obtain new pipeline task information corresponding to the new order information.

[0144] Optionally, the iteration module 330 is specifically configured to:

[0145] Based on the execution feedback information of the current order information, extracting pipeline abnormality information of each abnormal pipeline through a feature extraction network, and generating a pipeline processing solution for each abnormal pipeline based on the pipeline abnormality information of each abnormal pipeline;

[0146] If the pipeline task information corresponding to the new order information does not include an abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information;

[0147] If the pipeline task information corresponding to the new order information includes an abnormal pipeline, determining whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline;

[0148] In the case where an abnormal pipeline needs to be replaced, based on the abnormal pipeline, the new pipeline adaptation information adapted to the target product type corresponding to the new order information is adjusted to obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and the first pipeline adaptation information is used to replace the new pipeline adaptation information. The process returns to execute the new pipeline adaptation information based on the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline. Through the pipeline adaptation strategy, the target pipeline steps corresponding to the target product type are adapted to obtain the new pipeline task information corresponding to the new order information.

[0149] In the case where there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, the pipeline operation task of the abnormal pipeline is adjusted through the task adjustment strategy to obtain a new pipeline operation task of the abnormal pipeline, and the new pipeline operation task of the abnormal pipeline replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information to obtain new pipeline task information corresponding to the new order information.

[0150] Each module in the aforementioned pipeline task adapter device for an intelligent liquid dispensing machine can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0151] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a pipeline task adaptation method for an intelligent liquid discharge machine is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0152] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0153] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps of a pipeline task adaptation method for an intelligent liquid dispensing machine when executing the computer program.

[0154] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the pipeline task adaptation method for the intelligent liquid discharge machine are implemented.

[0155] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of a pipeline task adaptation method for an intelligent liquid dispensing machine.

[0156] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0157] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0158] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0159] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A pipeline task adaptation method for an intelligent liquid dispensing machine, characterized in that: The method comprises: Obtain product formula information for each product type, current pipeline information for each store's smart liquid dispenser, and current order information for each store, and generate pipeline adaptation information for each store's smart liquid dispenser for each product type based on the product formula information for each product type and the current pipeline information for each store's smart liquid dispenser; For each store, based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, and using the store's intelligent liquid dispensing machine's pipeline adaptation information for each product type, pipeline task information corresponding to the current order information is generated. Furthermore, execution feedback information of the store's intelligent liquid dispensing machine in executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store are collected. Based on the execution feedback information of the store's intelligent liquid dispenser when executing the current order information, and the new pipeline information of the store's intelligent liquid dispenser, the pipeline task adjustment strategy is used to generate new pipeline task information corresponding to the store's new order information, and the new order information replaces the current order information. The new pipeline task information replaces the pipeline task information, and the process returns to the step of collecting the execution feedback information of the store's intelligent liquid dispenser when executing the current order information, the new pipeline information of the store's intelligent liquid dispenser, and the store's new order information.

2. The method according to claim 1, characterized in that The generating of pipeline adaptation information of the intelligent liquid dispenser of each store for each product type based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispenser of each store includes: Based on the product formula information of each product type, the product task process corresponding to each product type and the material requirement information of each material type of each product type are identified; and based on the current pipeline information of the intelligent liquid dispensing machine of each store, the material type transported by each pipeline of the intelligent liquid dispensing machine of each store and the pipeline function information of each pipeline are identified; For each product type, based on the material requirement information of each material type of the product type, identifying the material requirement quantity of each material type and the material handling requirement information of each material type; Based on the material requirement of each material type, the material processing requirement information of each material type, the material type transported by each pipeline, and the pipeline function information of each pipeline, a pipeline sequence corresponding to each material type is generated, and based on the product task process corresponding to the product type and the pipeline sequence corresponding to each material type corresponding to the product type, the pipeline adaptation information of the product type is determined.

3. The method according to claim 2, characterized in that Before generating pipeline task information corresponding to the current order information based on the current order information of the store and the current pipeline information of the intelligent liquid dispensing machine of the store and using the pipeline adaptation information of each product type of the intelligent liquid dispensing machine of the store, the method further includes: Based on the current order information of the store, identifying the target product type corresponding to the current order information and the additional order requirement information corresponding to the current order information, and identifying the material requirement information of each additional material type corresponding to the additional order requirement information and the additional material requirement information of each material type of the target product type; Adjusting the material requirement information of each material type of the target product type based on the material requirement information of each additional material type and the additional material requirement information of each material type to obtain new material requirement information of each new material type of the target product type; The new material requirement information of each new material type of the target product type is used to replace the material requirement information of each material type of the target product type, and the target product type is used to replace the product type. Return to execute the material requirement information of each material type based on the product type, identify the material requirement quantity of each material type, and the material processing requirement information of each material type, and obtain the new pipeline adaptation information of the target product type.

4. The method according to claim 3, characterized in that The method of generating pipeline task information corresponding to the current order information based on the current order information of the store and the current pipeline information of the intelligent liquid dispensing machine of the store and using the pipeline adaptation information of the intelligent liquid dispensing machine of the store for each product type includes: Based on the current pipeline information of the intelligent liquid dispensing machine in the store, identifying the remaining information of the material barrel corresponding to each pipeline and the pipeline status information corresponding to each pipeline; Adapting each target pipeline corresponding to the target product type through a pipeline adaptation strategy based on the new pipeline adaptation information of the target product type, the remaining information of the material barrel corresponding to each pipeline, and the pipeline status information corresponding to each pipeline; Based on the product task process corresponding to the target product type and the new material demand information of the new material type corresponding to each target pipeline, the pipeline operation task of each target pipeline is generated, and the pipeline operation tasks of all target pipelines are used as the pipeline task information corresponding to the current order information.

5. The method according to claim 1, wherein The method generates new pipeline task information corresponding to the new order information of the store through a pipeline task adjustment strategy based on the execution feedback information of the current order information executed by the intelligent liquid dispensing machine of the store and the new pipeline information of the intelligent liquid dispensing machine of the store, including: Replace the current order information with the new order information, and replace the pipeline information with the new pipeline information; Return the current order information executed at the store and the current pipeline information of the store's intelligent liquid dispenser. Generate pipeline task information corresponding to the current order information based on the pipeline adaptation information of the store's intelligent liquid dispenser for each product type, and obtain pipeline task information corresponding to the new order information. Based on the execution feedback information of the current order information, a pipeline adjustment strategy for each pipeline is generated, and based on the pipeline adjustment strategy for each pipeline, the pipeline task information corresponding to the new order information is adjusted to obtain new pipeline task information corresponding to the new order information.

6. The method according to claim 5, characterized in that Generating a pipeline adjustment strategy for each pipeline based on the execution feedback information of the current order information, and adjusting the pipeline task information corresponding to the new order information based on the pipeline adjustment strategy of each pipeline to obtain new pipeline task information corresponding to the new order information includes: Based on the execution feedback information of the current order information, extracting pipeline abnormality information of each abnormal pipeline through a feature extraction network, and generating a pipeline processing solution for each abnormal pipeline based on the pipeline abnormality information of each abnormal pipeline; If the pipeline task information corresponding to the new order information does not include an abnormal pipeline, the pipeline task information corresponding to the new order information is used as the new pipeline task information corresponding to the new order information; If the pipeline task information corresponding to the new order information includes an abnormal pipeline, determining whether the abnormal pipeline needs to be replaced based on the pipeline processing solution of the abnormal pipeline and the pipeline operation task of the abnormal pipeline; In the case where an abnormal pipeline needs to be replaced, based on the abnormal pipeline, the new pipeline adaptation information adapted to the target product type corresponding to the new order information is adjusted to obtain the first pipeline adaptation information adapted to the target product type corresponding to the new order information, and the first pipeline adaptation information is used to replace the new pipeline adaptation information. The process returns to execute the new pipeline adaptation information based on the target product type, the remaining information of the material barrels corresponding to each pipeline, and the pipeline status information corresponding to each pipeline. Through the pipeline adaptation strategy, the target pipeline steps corresponding to the target product type are adapted to obtain the new pipeline task information corresponding to the new order information. In the case where there is no need to replace the abnormal pipeline, based on the pipeline processing solution of the abnormal pipeline, the pipeline operation task of the abnormal pipeline is adjusted through the task adjustment strategy to obtain a new pipeline operation task of the abnormal pipeline, and the new pipeline operation task of the abnormal pipeline replaces the pipeline operation task of the abnormal pipeline in the pipeline task information corresponding to the new order information to obtain new pipeline task information corresponding to the new order information.

7. A pipeline task adaptation device for an intelligent liquid dispensing machine, characterized in that: The device comprises: An acquisition module is used to obtain product formula information of each product type, current pipeline information of the intelligent liquid dispensing machine of each store, and current order information of each store, and generate pipeline adaptation information of the intelligent liquid dispensing machine of each store for each product type based on the product formula information of each product type and the current pipeline information of the intelligent liquid dispensing machine of each store; A generation module is configured to generate, for each store, pipeline task information corresponding to the current order information based on the store's current order information and the current pipeline information of the store's intelligent liquid dispensing machine, using the store's intelligent liquid dispensing machine's pipeline adaptation information for each product type, and collect execution feedback information of the store's intelligent liquid dispensing machine in executing the current order information, new pipeline information of the store's intelligent liquid dispensing machine, and new order information of the store; An iterative module is used to generate new pipeline task information corresponding to the new order information of the store based on the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information and the new pipeline information of the store's intelligent liquid dispensing machine through a pipeline task adjustment strategy, and replace the current order information with the new order information, and replace the pipeline task information with the new pipeline task information, and return to the execution step of collecting the execution feedback information of the store's intelligent liquid dispensing machine when executing the current order information, the new pipeline information of the store's intelligent liquid dispensing machine, and the store's new order information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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