Regional dynamic point distribution method and system for franchising flower delivery network

Abstract

The invention relates to the field of franchise network management, in particular to a regional dynamic point distribution method and system for a flower-based franchise network. The method comprises the steps that a floriculture order demand data set is acquired, on the basis of the floriculture order demand data set, biological analysis and task disassembly of floriculture task multi-dimensional demand characteristics are carried out, and a floriculture skill task chain information set is generated; based on this, performing dynamic matching of execution nodes and skill labels, triggering targeted reconstruction and environment adaptation of franchisee functions, and generating a dynamic node attribute mapping scheme set for driving node specialization and process standardization; and based on this, semi-finished product life state tracking and final integrity packaging are carried out, and a floriculture order full-link cooperation report is generated and output. According to the method, in the dynamic stationing process of the flower-based franchise network, standardized disassembly and specialized cooperation of complex orders are realized, and the whole-course quality of the floriculture as a life artwork is guaranteed.

Description

TECHNICAL FIELD

[0001] The application relates to the field of franchise network management, in particular to a regional dynamic distribution method and system for a flower delivery franchise network. BACKGROUND

[0002] In the field of customization and delivery of high-end personalized flower art works, flower art works carrying specific emotional expression and artistic value, from flower material processing, production to final delivery to users, the whole process of life state preservation directly determines the visual performance, emotional communication efficiency and commercial value realization of the works, which is the core link of high-quality service supply under the background of experience economy and consumption upgrading.

[0003] However, when the existing flower art supply chain management method is applied to the flower delivery service franchise network, in the face of multiple constraints, there is a lack of mechanism for systematic, forward-looking modeling and global dynamic protection of the life state of the works, which not only makes it difficult to realize the whole-chain quality closed-loop control from production to delivery, but also often causes the works to have irreversible damage in performance before delivery due to the lag of passive response monitoring and intervention, which seriously affects user experience and brand reputation. SUMMARY

[0004] The application provides a regional dynamic distribution method and system for a flower delivery franchise network to solve the above technical problems.

[0005] In a first aspect, the application provides a regional dynamic distribution method for a flower delivery franchise network, which comprises: Obtaining a flower art order demand data set, based on the flower art order demand data set, performing biological resolution analysis and task decomposition of flower art task multi-dimensional demand characteristics, and generating a flower art skill task chain information set; Based on the flower art skill task chain information set, performing dynamic matching of execution nodes and skill labels, and triggering targeted reconstruction and environmental adaptation of franchise store functions accordingly, generating a dynamic node attribute mapping scheme set for driving node specialization and process standardization; Based on the dynamic node attribute mapping scheme set, performing semi-finished product life state tracking and final integrity packaging, generating and outputting a flower art order whole-link collaborative report.

[0006] Through the above technical solution, the franchise network is upgraded to a flexible production organism that can be dynamically reorganized, realizing standardized decomposition and specialized collaboration of complex orders. It not only guarantees the whole-process quality and emotional expression accuracy of flower art works as life art, but also significantly improves the overall operation efficiency, resource utilization rate and customer trust of the network through whole-process digital closed loop.

[0007] Optionally, the generation process of the flower art skill task chain information set comprises: the flower art order demand data set comprises flower material physiological state requirements, process skill sequences, emotional expression scenes, and space-time delivery constraints; based on the flower art order demand data set, a complex flower art order is disassembled into a flower art sub-task set with strict task distinction relationships according to progressive construction logic defined by spatial structure and functional level of flower art works; based on the flower art sub-task set, a corresponding standardized task execution package is allocated to each flower art sub-task, so as to integrate all the standardized task execution packages to generate the flower art skill task chain information set.

[0008] Optionally, the construction process of the flower art sub-task set comprises: based on the process skill sequences and the emotional expression scenes, a plurality of independent flower art work units contained in the order are analyzed, and the type and style characteristics of each independent flower art work unit are determined; for each independent flower art work unit, in combination with the flower material physiological state requirements and the space-time delivery constraints, one or more core skill labels and corresponding standard work hour expectation values required to complete the work are matched from a preset flower art work demand mapping table; taking each independent flower art work unit as a benchmark, in combination with the core skill labels matched by the independent flower art work unit, the independent flower art work unit is disassembled into independent distribution units that can be executed by different specialized franchise stores; all the independent distribution units are organized into the flower art sub-task set with networked dependency relationships according to their logical relationships in the original order, material flow relationships, and the standard work hour expectation values.

[0009] Optionally, the standardized task execution package comprises: the standardized task execution package encapsulates execution configuration data of each independent flower art work unit, including: a flower artist skill label set, derived from the core skill labels matched by the independent distribution unit corresponding to the flower artist skill label set, used to identify a professional skill combination required to execute the task; an accurate bill of materials, generated by matching a preset material configuration rule according to the type, style characteristics, and flower material physiological state requirements of the independent distribution unit; and quality node acceptance standards, defined according to the position of the independent distribution unit in the networked dependency relationship and the process characteristics thereof.

[0010] Optionally, the generation process of the dynamic node attribute mapping scheme set comprises: based on the flower artist skill label set encapsulated by each of the independent allocation units and the space-time requirement, filtering the optimal execution node from the franchise network according to skill label matching degree, current node workload and node physical micro-environment data; sending a reconstruction instruction to the optimal execution node to trigger switching of its operation interface, material authority and work process to a special execution mode matched with the allocated independent allocation unit; encapsulating the matching relationship between each of the optimal execution nodes and the allocated independent allocation unit, the reconstruction instruction and the switching result after the node completes the reconstruction according to the special execution mode, and generating the dynamic node attribute mapping scheme set.

[0011] Optionally, the filtering of the optimal execution node from the franchise network comprises: filtering based on the skill label matching degree: preferentially matching the franchise node with registered skill labels completely consistent with the flower artist skill label set encapsulated by the independent allocation unit and having a successful execution record of the same type of independent allocation unit in recent period; filtering based on the current node workload: evaluating the workload saturation degree of the candidate node within the execution period specified by the space-time requirement of the independent allocation unit, and filtering the franchise node with sufficient capacity margin; verifying based on the node physical micro-environment data: comparing the real-time physical environment parameters of the candidate franchise node with the preset physical micro-environment requirement of the independent allocation unit, verifying whether the operation space size, environmental temperature and humidity control equipment are complete and meet the standards; comprehensively filtering and verifying the results to score and sort the candidate franchise node, and selecting the most optimal node as the optimal execution node.

[0012] Optionally, the generation process of the flower art order full-link collaborative report comprises: based on the dynamic node attribute mapping scheme set, performing semi-finished product life state relay tracking on the execution process of each of the independent allocation units at the optimal execution node allocated thereby; after all the independent allocation units are executed and quality node acceptance is completed, performing final summarization, inspection and packaging of the semi-finished products of all units to complete final integrity encapsulation; integrating the flower art skill task chain information set, the dynamic node attribute mapping scheme set and the tracking data and encapsulation results of each link to generate the flower art order full-link collaborative report containing task decomposition, node matching, process tracking and quality confirmation.

[0013] Optionally, the semi-finished product life state tracking comprises: based on the physiological state requirement of each independent allocation unit and the node physical micro-environment data of the passing nodes, dynamically synthesizing a virtual preservation corridor across nodes and presetting a flower art life sign tolerance threshold; in the production and circulation process, real-time monitoring of the flower art life sign is performed, and when the prediction data deviates from the flower art life sign tolerance threshold, an optimization instruction including adjusting the transportation parameters or changing the transfer nodes is actively triggered; before final delivery, according to the actual life state of the flower art work and the emotional expression scene of the order, the final scene adaptive packaging is triggered.

[0014] Optionally, the method further comprises: presetting a basic contribution value for each independent allocation unit in the flower art skill task chain information set, the basic contribution value being calculated based on the complexity of the matched core skill label and the standard work hour expectation value; according to the actual execution quality of each independent allocation unit under the quality node acceptance standard, the basic contribution value is weighted and corrected to generate a franchise node actual contribution value, and the quality is derived from the final customer feedback; the actual contribution values of all independent allocation units in the order after correction are summarized, and the total contribution value is dynamically divided according to the proportion of each unit in the total contribution value, to generate a franchise node capability profile; the franchise node capability profile represents the quantitative indicators of historical performance and reliability of this node under the corresponding skill label, which is used to provide historical performance basis for selecting the optimal execution node from the franchise network when generating a new flower art skill task chain information set in subsequent orders.

[0015] In a second aspect, the application provides a regional dynamic distribution system of a flower delivery franchise network, the system comprising: a task chain information module for obtaining flower art order demand data set, performing biological resolution and task decomposition of flower art task multi-dimensional demand characteristics based on the flower art order demand data set, and generating flower art skill task chain information set; a node attribute mapping module for performing dynamic matching of execution nodes and skill labels based on the flower art skill task chain information set, and triggering targeted reconstruction and environmental adaptation of franchise store functions accordingly, to generate a dynamic node attribute mapping scheme set for driving node specialization and process standardization; a collaborative reporting module for performing semi-finished product life state relay tracking and final integrity packaging based on the dynamic node attribute mapping scheme set, to generate and output a flower art order full-link collaborative report. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0017] Figure 1 An application scenario schematic diagram provided for an embodiment of the present application; Figure 2 A flowchart of a regional dynamic distribution method of a flower delivery franchise network provided for an embodiment of the present application; Figure 3 A structural schematic diagram of a regional dynamic distribution system of a flower delivery franchise network provided for an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0019] In addition, the term "and / or" in this paper is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper, unless otherwise specified, generally represents an "or" relationship between the associated objects before and after it.

[0020] The embodiments of the present application will be further described in detail below in combination with the drawings of the specification.

[0021] The existing flower art supply chain management method lacks a mechanism for systematic and forward modeling and global dynamic guarantee of the work life state when facing multiple constraints, which makes it difficult to realize the whole-chain quality closed-loop control from production to delivery. More often, due to the passive response and lagging monitoring and intervention, the work performance has been irreversibly damaged before delivery, which seriously affects the user experience and brand reputation.

[0022] Based on this, the application provides a regional dynamic distribution method and system of flower delivery franchise network. First, through the biological resolution engine, the emotion and scene demand of the flower art order are converted into quantifiable operation skill task chain; then, the task scheduling center matches the franchise nodes with corresponding skill tags according to the task chain, and drives the nodes to perform targeted environment reconstruction, forming a dynamic production mapping; finally, the system constructs a virtual preservation corridor for the order, tracks the semi-finished product life state throughout the process, and triggers adaptive packaging based on the final state and the original scene, finally generates a full-link collaborative report, and outputs it to the franchise store merchant. The scheme upgrades the franchise network to a flexible production organism that can be dynamically reorganized, realizes the standardized disassembly and professional collaboration of complex orders, not only guarantees the whole process quality and emotional expression accuracy of flower art works as life art, but also significantly improves the overall operation efficiency, resource utilization and customer trust of the network through the whole process digital closed loop.

[0023] Figure 1 An application scenario diagram is provided for the application. In the dynamic distribution process of the flower delivery service franchise network, the method provided by the application realizes the standardized disassembly and professional collaboration of complex orders, and guarantees the whole process quality of flower art works as life art.

[0024] Specifically, the method of the application is applied to any server, which communicates with a flower network order platform, and obtains a flower art order demand data set provided by the flower network order platform through the server.

[0025] The specific implementation mode can refer to the following embodiments.

[0026] Figure 2 A flowchart of a regional dynamic distribution method of flower delivery franchise network is provided for an embodiment of the application. The method of the embodiment can be applied to the server in the above scene. As shown in the figure, the method comprises the following steps. Figure 2 S201, obtain a flower art order demand data set, and perform biological resolution and task disassembly of flower art task multi-dimensional demand characteristics based on the flower art order demand data set, to generate a flower art skill task chain information set.

[0027] The "flower delivery franchise network" targeted by the application refers to a flower delivery service network.

[0028] ​The flower art order demand dataset can refer to the structured and unstructured data set received by the flower delivery franchise network, containing order basic information (such as the address of the flower receiver, time) and deep demand information (such as use scene, emotional expression, style preference, budget interval, special requirements of flower materials, etc.), and the data is derived from the flower network order platform. Biological disintegration can be the analysis of the characteristics of living things (such as growth cycle, environmental adaptability, symbiotic relationship) in biology, and the process of converting the multi-dimensional demand in flower art orders (especially the requirements for freshness, modeling vitality, and emotional symbolic meaning of flower materials) into quantifiable and traceable "physiological indicators" and "ecological relationship" parameters. Task decomposition can be the process of converting complex flower art orders into a series of standardized, executable, and transferable atomic skill tasks based on the demand portrait produced by biological disintegration. The flower art skill task chain information set can be an information set composed of a series of ordered and logically related atomic skill tasks generated after analysis and decomposition.

[0029] Specifically, modern flower art consumption has gone beyond basic material needs and increasingly focuses on emotional expression, scene adaptation, and artistic experience. Order demand presents complex characteristics of high personalization, emotionalization, and professionalization. However, traditional flower delivery franchise networks still mostly remain at the level of information transmission and simple order allocation in order processing, lacking the ability to deeply analyze and structure the deep multi-dimensional demand of orders. This results in the network's inability to accurately understand subjective requirements such as "creating surprise" and "reflecting high-level aesthetics", making it even more difficult to decompose them into specific tasks that can be allocated, executed, and measured. As a result, the quality of order execution is heavily dependent on the personal experience and on-the-spot performance of the order-taking flower artist, with low standardization and difficulty in improving network collaboration efficiency, and uncertainty in the delivery of complex high-end orders. This scheme aims to address this core bottleneck by introducing biological disintegration and task decomposition, converting vague emotional demand into tasks with clear skill requirements and environmental parameters. This process essentially translates artistic language into engineering language, laying an indispensable and structured data foundation for subsequent scientific, capability-based dynamic resource scheduling.

[0030] S202, based on the flower art skill task chain information set, dynamic matching of execution nodes and skill labels is performed, and accordingly targeted reconstruction and environmental adaptation of franchise store functions are triggered, generating a dynamic node attribute mapping scheme set for driving node specialization and process standardization.

[0031] The execution node can refer to an entity in the flower franchise network or a site with specific processing capabilities, each node is digitally modeled in the system, with a set of attributes including geographic location, spatial layout, equipment list, on-site florist skill profile, historical work data, real-time environmental sensor data, etc. Skill tags can be standardized coding and classification identification of atomic flower art skills, such as "Ecuador rose water treatment", "architectural framework building", "natural wind color matching", "luxury gift box packaging", etc. Dynamic matching can be a process of finding the execution node with the highest attribute and task requirement matching degree in the entire network range in real time (or near real time) according to the requirements of each task in the "flower art skill task chain". Targeted reconstruction and environmental adaptation can be a specific instruction set sent by the system to the target node after matching, aiming to temporarily adapt the physical environment or workflow of the target node to the requirements of a specific task. The dynamic node attribute mapping scheme set can be a complete corresponding relationship scheme set of "task-node-adaptation requirement" formed after the skill task chain matching of the entire order is completed.

[0032] Specifically, after obtaining the standardized task chain, how to efficiently and accurately allocate it to the most suitable production node in the network is the key to determining the overall network performance and order quality. Traditional franchise networks mostly use static dispatching modes based on geographic location or fixed rotation, which cannot perceive and utilize the heterogeneity and dynamic changes in professional skills, equipment configuration, real-time production capacity and environmental conditions among different franchise stores. This rigid allocation method is prone to cause capacity mismatch: simple tasks occupy professional node resources, while complex tasks are allocated to nodes with insufficient capacity, resulting in low resource utilization, inability to maximize professional value, and difficulty in responding to structural fluctuations in order demand. This step aims to solve this problem by dynamically matching execution nodes and skill tags, and driving nodes to perform targeted reconstruction and environmental adaptation, aiming to shape the entire network into a flexible production system that can be dynamically reorganized. It enables each order to find the optimal execution path in the global range, and allows the node to temporarily configure the best working state for a specific task, thereby realizing the transformation from fixed-function stores to flexible production units.

[0033] S203, based on the dynamic node attribute mapping scheme set, semi-finished product life state tracking and final integrity packaging are performed, and a flower art order full-link cooperation report is generated and output.

[0034] Semi-finished product life state tracking can be continuous, seamless monitoring and data recording of the core vital signs (such as water content, cell activity, and form retention) of flower materials or flower art semi-finished products circulating between different nodes during order execution. Integrity packaging can be the selection and execution of the most matched packaging, card, presentation method and other final delivery steps according to the original emotional expression scene of the order and the real-time state of the final work after all production steps of the order are completed. Flower art order full-link collaborative report can be a comprehensive document summarizing the order full-process data.

[0035] Specifically, the core value of flower art products lies in their freshness and emotional carrying as "life art". From flower material processing, flower art production to final delivery to customers, it involves multiple links of circulation and waiting, and its physiological state will continue to change. In the traditional mode, this process is almost a black box, lacking continuous monitoring and safeguard measures for the life state of semi-finished products, and the quality risk accumulates in the circulation, and it is difficult to trace the responsibility after the problem occurs. At the same time, the final delivery is often a simple logistics action, which is disconnected with the emotional scene contained in the order, which may cause experience defects. The shortcomings of the existing process in the life guarantee and emotional delivery closed loop are an important factor restricting the improvement of service quality and the establishment of customer trust. This step aims at this shortcoming, through the implementation of semi-finished product life state relay tracking and final integrity packaging, a quality guardianship and experience delivery closed loop throughout the order full link is built. It ensures the active management of the life cycle of flower materials, and can design the most appropriate delivery ceremony according to the final state of the work and the original scene, so as to convert the reliability of the production process into the value and trust perceived by customers. The full-link collaborative report generated finally provides data assets for process optimization, responsibility definition and value proof.

[0036] Through the way provided by the embodiment, first, through the biological resolution analysis engine, the emotional and scene demand of the flower art order is converted into a skill task chain that can be quantified operation; then, the task scheduling center matches the nodes with corresponding skill tags according to the task chain, and drives the nodes to carry out targeted environment reconstruction, forming a dynamic production mapping; finally, the system builds a virtual preservation corridor for the order, tracks the life state of semi-finished products throughout the process, and triggers adaptive packaging based on the final state and the original scene, finally generates a full-link collaborative report, and outputs it to the franchise store. This scheme upgrades the franchise network to a flexible production organism that can be dynamically reorganized, realizing the standardization of complex orders and professional collaboration. It not only guarantees the whole process quality and emotional expression accuracy of flower art works as life art, but also significantly improves the overall operation efficiency, resource utilization and customer trust of the network through the full-process digital closed loop.

[0037] In some embodiments, the flower art order demand dataset includes flower material physiological state requirements, process technique sequences, emotional expression scenarios, and space-time delivery constraints; based on the flower art order demand dataset, the complex flower art order is disassembled into a flower art sub-task set with strict task distinction relationships according to the progressive construction logic defined by the spatial structure and functional level of the flower art work; and based on the flower art sub-task set, a corresponding standardized task execution package is assigned to each flower art sub-task, so as to integrate all standardized task execution packages to generate a flower art skill task chain information set.

[0038] The flower material physiological state requirements can be specific quantitative requirements for the freshness, openness, color saturation, and other vital sign parameters of the flower materials used in the order. The process technique sequence can be an execution order list of the flower art techniques required to complete the order, such as “water retention treatment -> spiral architecture building -> color gradient filling -> heterogeneous material decoration”. The emotional expression scenario can be a specific situation served by the order and an emotion expected to be delivered, such as “birthday surprise”, “business thank you”, “solemn mourning”. The space-time delivery constraint can be the final time node that must be completed by the order and the geographic location of the delivery. The progressive construction logic can be the progressive assembly rule of the flower art work from the core structure to the surface decoration in the physical space and visual level. The flower art sub-task set can be a group of independent task units obtained by disassembling a complex order according to the progressive construction logic, which has clear before-and-after dependency relationship and input-output definition, for example, a large flower basket is disassembled into “base building”, “main flower positioning”, “flower filling”, “leaf material modification”, and “finished product packaging” five sub-tasks. The standardized task execution package can be a digital instruction package encapsulated for each flower art sub-task, which contains all the information required for its execution, and is a “work order” that drives the franchise store to carry out special production. The flower art skill task chain information set can be an ordered set organized by all standardized task execution packages according to their dependency relationship, which represents the complete and networkable execution production plan to complete the order.

[0039] The spatial structure and functional level of the flower art work can be the hierarchical structure division of the flower art work in the physical space and visual / functional presentation, which is used to determine the progressive assembly sequence of the work from “core structure” to “surface decoration / encapsulation”; for example, for flower basket / flower bouquet works, hierarchical division can be performed according to “base / skeleton layer, main flower positioning layer, flower filling layer, leaf material modification layer, finished product packaging / encapsulation layer”, and the progressive construction logic of “skeleton first and then filling, main flower first and then material” is formed accordingly.

[0040] The logical relationship can be the process precedence dependency relationship / input-output relationship between the flower art sub-tasks or independent allocation units for completing the same order, which is used to represent the constraints of different tasks in the execution order.

[0041] Specifically, when processing a flower art order, the traditional franchise network often regards it as an indivisible whole and directly assigns it to a certain flower artist or store for completion. This approach highly depends on the comprehensive ability of the receiving node and cannot meet the combined demand for multiple high-skill techniques for complex orders (such as wedding arrangements containing multiple large-scale architectural works). Once the node is saturated or lacks a certain key skill, the order will be delayed or the quality will be reduced. The fundamental defect lies in the lack of engineering analysis of the internal structure of the order, which cannot decompose the composite ability demand into atomic tasks that can be completed in parallel by multiple specialized nodes in the network. To solve this core problem, this step first decomposes the complex order, which integrates the physiological characteristics of flowers, the process sequence, the emotional scene, and the spatiotemporal constraints, into a set of flower art sub-tasks with strict differentiation and dependency relationships according to the progressive construction logic defined by the spatial and functional levels of flower art works (such as first skeleton, then fill, first main flower, then accessories). For example, a "surprise proposal bouquet" order can be decomposed into five sub-tasks: "Ecuador rose water pre-treatment", "heart-shaped architectural skeleton construction", "integration of light strings and ribbons for decoration", and "luxury gift box packaging". Then, the system matches and encapsulates a standardized task execution package for each sub-task, which precisely specifies the required skill tags, material list, and acceptance criteria. Finally, all task packages are integrated in a chain according to their process logic to generate a structured flower art skill task chain information set.

[0042] Through the way provided by this embodiment, a fundamental change from "overall outsourcing" to "process decoupling" is achieved, making complex orders decomposable into standardized tasks that can be completed by different specialized nodes in the network, breaking through the bottleneck of single node capability and capacity, and providing the only and necessary structured input for subsequent dynamic distribution and efficient collaboration based on skill precise matching.

[0043] In some embodiments, based on the process technique sequence and emotional expression scene, multiple independent flower art work units contained in the order are analyzed, and the type and style features of each independent flower art work unit are determined; for each independent flower art work unit, combining its flower material physiological state requirement and spatiotemporal delivery constraints, one or more core skill tags and corresponding standard work hour expectation values required to complete the work are matched from a preset flower art work demand mapping table; taking each independent flower art work unit as a reference, combining its matched core skill tags, it is decomposed into independent distribution units that can be executed by different specialized franchise stores; all independent distribution units are organized into a set of flower art sub-tasks with networked dependency relationships according to their logical relationships in the original order, material flow relationships, and standard work hour expectation values.

[0044] An independent floral work unit can be a single floral entity that can be independently designed, produced and delivered in a composite order (e.g. a wedding package), such as a "bride's bouquet", a "centerpiece for the main table", or an "entrance arch". A core skill label can be a professional skill identification that is necessary to complete a floral work of a specific type and style, such as "spiral technique (advanced)", "architectural wire shaping", or "heterogeneous material fusion". A standard work hour expectation can be an average estimated work hour required by a skilled florist with the corresponding core skill to complete the independent work unit under ideal conditions (e.g. 1.5 hours). An independent distribution unit can be the smallest task unit that can be directly assigned to a single franchise node for execution, based on the "independent floral work unit" and further considering the constraints of networked production (e.g. franchise expertise, physical flow). Networked dependency relationships can be logical order, material transfer, or spatiotemporal coordination relationships between different independent distribution units. For example, the "architectural framework" unit needs to be produced first before the "flower filling" unit can be performed on its basis.

[0045] Specifically, when receiving a composite order containing multiple works, the traditional franchise network often allocates it as a whole or roughly divides it into several large blocks. This coarse-grained processing method has serious drawbacks: first, it cannot identify the differentiated needs of different works in the order for skills (such as the need for delicate bundling for hand-held flowers and large-scale architecture for background boards), which may result in the forced allocation of tasks that are not suitable for a certain node; second, it ignores the production order and material flow relationship between works, which can easily cause production process confusion and waiting waste; third, it lacks accurate estimation of the work hours of each work, making it difficult to balance production capacity and delivery time across nodes. This step aims to achieve fine-grained deconstruction from "overall allocation" to "atomized task network". The core implementation process is as follows: the system first analyzes the process technique sequence and emotional expression scene of the order, identifies and separates multiple independent work units, and determines their types and styles. For example, a "high-end business conference" order may contain "speech platform table flowers" (modern style) and "corporate logo flower wall" (architecture style) two independent units. Then, for each unit, combined with its flower material physiological state requirement (such as the need for flower material persistence for logo wall) and the final delivery deadline, the system matches the core skill label set (such as "large-scale architecture welding", "flower mud fixation", etc.) required to complete it from the preset mapping table and the corresponding standard work hour expectation value (such as "speech platform table flowers" estimated to require 2 hours). Then, taking each independent work unit as a benchmark, combined with its matched skill labels, it is directly or further decomposed (for example, a large-scale flower wall is decomposed into three segments that can be produced in parallel by different people) into independent allocation units that can be executed by different specialized franchise stores. Finally, the system analyzes the logical order of all independent allocation units in the original order (such as making table flowers first and then making flower walls), the material flow relationship (such as uniformly purchased specific flower materials that need to be delivered to a certain node first), and their respective work periods, and organizes them into a task graph with clear networked dependency relationships, i.e., a fine-grained task network.

[0046] By the way provided by the embodiment, deep structural analysis of the composite order is realized, and a fine-grained task network containing skill requirements, work period estimation, and task dependency relationships is generated, laying an indispensable and complete constraint information plan blueprint for subsequent dynamic node scheduling and collaborative production process optimization based on accurate matching.

[0047] In some embodiments, the standardized task execution package encapsulates the execution configuration data of each independent flower arrangement unit, including: a set of flower arranger skill tags derived from the core skill tags matched by the corresponding independent allocation unit, used to identify the required professional skill combination for executing the task; an accurate bill of materials generated according to the type, style characteristics and physiological state requirements of the independent allocation unit, matching the preset material configuration rules; quality node acceptance standards defined according to the position of the independent allocation unit in the networked dependency relationship and its process characteristics.

[0048] The set of flower arranger skill tags can be a set of labels encapsulated in the standardized task execution package, used to uniquely identify the required professional skill combination for executing the independent allocation unit. The accurate bill of materials can be a detailed list of consumables containing flower material categories, grades, quantities, backup loss ratios and auxiliary material specifications, which is obtained after systematic calculation for completing a specific independent allocation unit. The quality node acceptance standards can be a set of quantifiable or objectively determinable qualification criteria defined for the execution output of the independent allocation unit. The preset material configuration rules can be a knowledge base or algorithmic rules stored in the system, which associate and match flower arrangement types, styles with specific material categories, quantities, specifications.

[0049] The process characteristics can be the manufacturing process corresponding to the independent allocation unit, which can be represented by the process technique sequence and the task type.

[0050] Specifically, in a distributed collaborative production network, if only the task is decomposed and lacks unified and precise execution instruction packaging, each affiliate node will still rely on the florist's personal experience and subjective judgment for production, leading to three major problems: First, the skill requirement transmission is ambiguous, which is easy to cause the quality slide of "can take orders but can't do well"; second, the material estimation is rough, either causing production interruption due to insufficient materials or causing cost waste and fresh loss due to excessive procurement; finally, the lack of objective acceptance standards for intermediate output makes the quality of semi-finished products inconsistent when they circulate between nodes, and the final assembly link is frequently contradictory. This step aims to convert abstract task requirements into "digital work orders" that can be executed by any node without ambiguity. The core implementation process is: the system takes an independent allocation unit as input and automatically encapsulates and generates a corresponding standardized task execution package. First, the package inherits the core skill tags matched by the unit, forming a set of florist skill tags (such as "heterogeneous material fusion decoration" unit encapsulating tags "wire shaping (advanced)" and "preserved flower processing"). Second, the system queries the pre-set material configuration rules according to the type of the unit (such as "suspended flower art"), style characteristics (such as "forest system"), and flower material physiological state requirements (such as "need to use drought-tolerant leaf material"), and generates an accurate material list (example: the list accurately lists "3 pieces of deer horn fern, 2 plants of air pineapple, 20 imported eucalyptus leaves, and 5 meters of 2mm copper-coated iron wire", and marks a 10% loss allowance). Finally, according to the location of the unit in the network (such as the last process before final encapsulation) and its process characteristics, define the quality node acceptance standards (for example, for the "gift box packaging" unit, the standards are defined as "flower bundle fixed displacement less than 2mm", "moisture layer completely covers the flower mud and is not exposed", "ribbon knot symmetry deviation less than 3 degrees"). Through this three-element packaging, each task package becomes a complete instruction entity that drives production.

[0051] By the way provided by the embodiment, the requirements, resources and quality standards of each atomic task are integrated and digitized, which fundamentally eliminates the understanding deviation and execution randomness in collaborative production, provides accurate production guidelines for affiliate nodes, ensures the input-output consistency of cross-node operations, and is the key foundation to realize process standardization and control of final product quality.

[0052] In some embodiments, based on the set of florist skill tags and space-time requirements encapsulated by each independent allocation unit, the optimal execution node is selected from the affiliate network according to the skill tag matching degree, the current workload of the node, and the physical micro-environment data of the node; the reconstruction instruction is sent to the optimal execution node to trigger the switching of its operation interface, material authority and work flow to the special execution mode matched with the allocated independent allocation unit; the matching relationship between each optimal execution node and the allocated independent allocation unit, the reconstruction instruction and the switching result are encapsulated to generate a set of dynamic node attribute mapping schemes after the node completes the special execution mode.

[0053] The skill tag matching degree can be a numerical indicator for quantitatively evaluating the degree of fit between the registered skill tag set of the franchise node and the bouquet artist skill tag set encapsulated by the independent allocation unit. The node current workload can be a quantitative data representing the occupancy ratio or saturation state of the total amount of tasks committed by the franchise node to its theoretical maximum capacity at a specific evaluation moment or in a future period. The node physical micro-environment data can be a parameter set reflecting the physical conditions and environmental status of the actual operation site of the franchise node, including but not limited to operation table size, storage space volume, real-time readings of environmental temperature and humidity, availability and status of specific processing equipment (such as constant temperature cabinet, flower material freezer). The optimal execution node can be a franchise store determined from the franchise network after multi-dimensional comprehensive evaluation and screening, which is most suitable for executing a specific independent allocation unit. The reconstruction instruction can be a digital control command sent by the central dispatching system to the selected optimal execution node, which is used to trigger the instantaneous switching of its internal operating environment. The special execution mode can refer to the customized working state of the franchise node after receiving the reconstruction instruction, which dynamically adjusts the operation interface, material access permission library, standard operation process display and equipment parameter preset to only serve the current specific task package.

[0054] The space-time requirement can include the space-time delivery constraint of the order and the task execution period constraint for limiting the executable time interval of the independent allocation unit within the network, so as to evaluate and schedule the node workload.

[0055] Specifically, in the distributed flower production network, there are serious defects in the static allocation of task packages to fixed nodes: the node function is fixed, and the resource configuration cannot be dynamically adjusted according to the task characteristics, resulting in low efficiency in processing specialized tasks; the node load is uneven, and the busy node is easy to become a bottleneck, while the idle node skills are not fully utilized; the environmental conditions are not matched, such as the orchid processing task requiring constant temperature operation being allocated to a small shop without temperature control equipment, directly leading to quality risks. The traditional "order allocation-order receiving" mode cannot solve the above dynamic adaptation problems. This step aims to realize real-time, accurate and adaptive matching and switching of tasks and nodes. The core implementation process is: first, the system calculates the matching degree of all candidate nodes in the skill (such as requiring complete matching of "architecture welding" and "heterogeneous material" labels), current workload (evaluating whether it has 70% or 30% of its capacity in the next 4 hours) and physical microenvironment (such as checking whether the operation table length is greater than 2 meters and whether the environment humidity can be stabilized between 60%-70%) of the three dimensions, and selecting the node with the highest comprehensive score as the optimal execution node through a weighted scoring algorithm (such as assigning weights of 0.5, 0.3 and 0.2 to the three dimensions respectively). Then, the system sends reconstruction instructions containing specific configuration parameters to the node, triggering its internal system: the operation interface only displays the accurate material list and quality node acceptance standard of the current task; the material authority only unlocks the storage access of the specific flower material required by the task; the work flow guidance is switched to the standard step video or text guide for this task type. After the node completes the switching and feedback confirmation, the system records and encapsulates the complete mapping relationship of "task-node-instruction-result", and generates a set of dynamic node attribute mapping schemes.

[0056] By the way provided by the embodiment, the leap from static assignment to dynamic targeted reconstruction is realized, so that each node in the network can be instantly transformed into a specific task dedicated "workshop", greatly improving the accuracy of resource utilization and the environmental adaptability of task execution, and providing a key scheduling and execution basis for reliable and efficient collaborative production of complex orders.

[0057] In some embodiments, the screening is based on skill label matching degree: priority is given to a matching node whose registered skill label is completely consistent with the skill label set of the flower artist encapsulated by the independent allocation unit, and the matching node has a successful execution record with the same independent allocation unit in the recent period; the screening is based on the current workload of the node: the workload saturation of the candidate node within the execution period specified by the independent allocation unit in space and time is evaluated, and a matching node with sufficient capacity is selected; the verification is based on the physical microenvironment data of the node: the real-time physical environment parameters of the candidate matching node are compared with the preset physical microenvironment requirements of the independent allocation unit, and it is verified whether the operation space size, environmental temperature and humidity control equipment are complete and meet the standards; the candidate matching node is scored and sorted based on the comprehensive screening and verification results, and the most optimal node is selected as the optimal execution node.

[0058] The workload saturation can be the proportion of the total estimated working hours of the existing scheduled tasks of the candidate matching node within the execution period specified by the independent allocation unit to the maximum available working hours of the node within the period (such as 80%). The real-time physical environment parameters can be a data set reflecting the physical state of the operation space of the candidate matching node collected and reported by the Internet of Things sensor in real time, including but not limited to operation table size, environmental temperature, environmental humidity, and light intensity. The preset physical microenvironment requirements can be specific parameter specifications set for the execution environment of a specific independent allocation unit to ensure the production quality and physiological state of the flower materials (such as requiring the environmental temperature to be constant at 18-22°C and the humidity to be 65%-75%). The scoring and sorting can be a process in which the system quantitatively scores the candidate matching nodes that pass the preliminary screening in multiple dimensions such as skill matching degree, workload saturation, and environment compliance according to a preset weight model, and forms a priority list according to the score.

[0059] Specifically, if the traditional task allocation only relies on a single dimension (such as simply geographical proximity or the presence or absence of skill tags) for screening, it will cause deep imbalance of network collaboration: for example, only matching by skill will assign an urgent architecture task to a node that has the skill but is already fully loaded, resulting in delayed delivery; or ignoring environmental checks, assigning orchid handling tasks that require a constant humidity environment to small shops that lack humidification equipment, directly causing flower material loss. This "only seeing the trees, not the forest" screening mechanism cannot achieve the optimal solution among skill adaptation, capacity balancing, and physical environment protection, resulting in low overall network efficiency and uncontrollable quality risks. This step solves this problem by building a multi-level progressive, comprehensive check dynamic screening funnel. The core implementation process is: the system first performs screening based on skill tag matching degree, taking the skill tag set encapsulated by the independent allocation unit (such as {spiral technique (advanced), heterogeneous material fusion}) as the benchmark, retrieves the node pool from the network that has registered tags that completely match (i.e., contain and are not less than the required tags), and further preferentially screens out nodes that have successful execution records of similar units in the recent period (such as within the past week) to ensure experience reliability. Next, screening based on the current workload of the node, the system obtains the existing task scheduling of each node in the candidate pool within the future task execution window (such as today 14:00-18:00), calculates its workload saturation degree (for example, the existing tasks occupy 3.5 hours, the maximum working hours of the node within the window is 5 hours, then the saturation degree is 70%), and screens out nodes with a saturation degree lower than a preset threshold (such as 80%) and with sufficient capacity margin (such as 1.5 hours in the above example). Then, check based on the physical microenvironment data of the node, the system retrieves the real-time physical environment parameters of the candidate node (such as through sensors to know that the operation table length is 2.2 meters and the current humidity is 63%), and compares them with the preset physical microenvironment requirements of the task unit (such as requiring the operation table length to be ≥2 meters and the humidity to be maintained at 60%-70%) item by item, and eliminates any node that does not meet the requirements of a key indicator (such as space size, humidity control ability). Finally, for the nodes that pass the above three levels of screening, the system performs weighted comprehensive scoring (for example, assigning weights of 0.4, 0.3, and 0.3 to the three dimensions) according to the completeness of skill matching, the inverse of load saturation (the more the margin, the higher the score), and the degree of compliance of environmental parameters, and ranks them according to the total score, and selects the node ranked first as the optimal execution node for final dispatch.

[0060] In the manner provided by the embodiment, a full-dimensional, quantifiable node optimization mechanism from skill to capacity to hard environment is established, ensuring that the selected node not only "can do" but also "has space to do" and "does it in the right environment", fundamentally achieving three-dimensional precise matching of task demand and node resources in terms of ability, time, and space.

[0061] In some embodiments, based on the dynamic node attribute mapping scheme set, the execution process of each independent allocation unit at the optimal execution node allocated by it is tracked in semi-finished product life state relay; after all independent allocation units are executed and quality node acceptance is completed, the semi-finished products of all units are finally summarized, inspected and packaged, and the final integrity packaging is completed; the flower art skill task chain information set, the dynamic node attribute mapping scheme set and the tracking data and packaging results of each link are integrated to generate a flower art order full-link collaborative report containing task decomposition, node matching, process tracking and quality confirmation.

[0062] Semi-finished product life state relay tracking can be a process of continuous and uninterrupted state monitoring and data recording based on the allocation relationship recorded in the dynamic node attribute mapping scheme set, for the whole process of production, temporary storage and transfer to downstream nodes of each independent allocation unit at its corresponding optimal execution node. Integrity packaging can be a process of physically assembling, final quality inspection and unified packaging of semi-finished products of all units at the final assembly node (or central collection center) after all independent allocation units are executed and pass through their respective quality node acceptance standards.

[0063] Specifically, in a distributed collaborative production network, if there is a lack of state collection and global data integration of the entire task execution process, order management will fall into an "information island" and a "process black box": each affiliate node only knows about its own task completion, the central dispatcher cannot real-time master the life status of semi-finished products in circulation (such as whether the temperature and humidity are out of standard during transportation from node A to node B), and finally the customer cannot know the complex collaboration process behind the work. Once the delivered product has quality defects, it is difficult to trace the root cause (is it due to the process failure of a specific node or the circulation environment), leading to unclear responsibilities and disputes. Therefore, a full-link, traceable digital mirror system from task assignment to product packaging must be established. The core implementation process is as follows: first, based on the dynamic node attribute mapping scheme set, the system automatically triggers the relay tracking of the life status of semi-finished products of each independently allocated unit at the optimal execution node where it is allocated. For example, when the node starts processing the "architecture skeleton" unit, the system records the start time, the batch of materials used, and through the sensors or manual check-in configured by the node, records the time stamp and brief picture of the key nodes (such as welding completion), and after the unit is completed, an RFID tag is attached, and the temperature and humidity data during transportation to the next node are also real-time returned through the vehicle-mounted Internet of Things device. When all units have completed production and arrived at the final assembly point, the system verifies the electronic acceptance sheet of each unit, triggering the integrity packaging process: the assembly point assembles each unit (such as architecture skeleton, flower filling, and decoration accessories) according to the preset assembly drawing, conducts overall product inspection (such as checking stability and color matching), and finally performs final packaging (such as using translucent matte paper and champagne color ribbon) according to the emotional expression scene of the order (such as "wedding main table flower"). The packaged product picture and logistics number are recorded. Finally, the system automatically integrates the initial flower art skill task chain information set of the order, the dynamic node attribute mapping scheme set during execution, the detailed tracking log of each unit, all quality inspection credentials, and the final packaging record and product image according to the time line and logical relationship, to generate a structured, queryable and auditable full-link collaborative report of the flower art order.

[0064] By the way provided by the embodiment, a digital transparent link throughout the order life cycle is constructed, the production process is fully visualized, the state is traceable, and the quality is traceable, which greatly improves the reliability of the collaborative network, the customer trust degree, and the problem diagnosis efficiency.

[0065] In some embodiments, based on the physiological state requirements of each independent allocation unit and the node physical micro-environment data of the passing nodes, a virtual preservation corridor is dynamically synthesized across nodes, and its flower arrangement vital sign tolerance threshold is preset; during production and circulation, the flower arrangement vital signs are monitored in real time, and when the predicted data deviates from the flower arrangement vital sign tolerance threshold, the optimization instructions including adjusting the transportation parameters or changing the transfer nodes are actively triggered; before final delivery, according to the actual life state of the flower arrangement work and the emotional expression scene of the order, the final scene adaptive packaging is triggered.

[0066] The virtual preservation corridor can be a continuous data curve representing the theoretical experience environment of the flower materials in the digital space, which is dynamically constructed based on the physiological state requirements of each independent allocation unit in the current order (such as a unit requiring humidity > 65%) and the node physical micro-environment data of each optimal execution node it plans to pass through (such as node A humidity 70%, node B humidity 60%, and transportation vehicle humidity 55%). The flower arrangement vital sign tolerance threshold can be the safety floating boundary of the key physiological parameters (such as tissue water content and cell damage rate) set to ensure the survival and appearance of the flower materials based on the virtual preservation corridor. The flower arrangement vital sign can be a key indicator for quantifying the physiological state of flower arrangement semi-finished or finished products, such as petal cell turgor pressure (indirectly reflecting water content), stem cut microorganism activity, and ethylene release rate. The optimization instruction can be a digital command for adjusting the environmental parameters or changing the execution plan actively issued by the system to the relevant links (such as transportation vehicle control system and transfer nodes) when the system judges through the prediction model that the flower arrangement vital sign will deviate from its tolerance threshold in the subsequent nodes or transportation links. The scene adaptive packaging can be the dynamic adjustment of the final packaging materials, auxiliary decorations (such as cards and light strings), and even the content of the blessing words triggered by the system before the final delivery, according to the actual life state of the flower arrangement work (such as flower opening degree) and the emotional expression scene of the order (such as "romantic wedding"), so that the final delivery is not only physically complete, but also highly consistent with the scene requirements in emotional presentation.

[0067] Specifically, traditional flower art circulation process management is often limited to logistics tracking (such as location, temperature), and lacks the ability to accurately predict and actively intervene in the life state evolution of flowers, which leads to two major risks: first, it is impossible to predict the cumulative stress damage to flowers caused by environmental differences across nodes (such as from a high-humidity production workshop to a dry transport vehicle), and often it is not until the flowers have been subliminally dehydrated or rotted when they arrive at the final node; second, the final packaging is rigid and uniform, and cannot be adjusted according to the actual state of the flowers (such as roses unexpectedly blooming early) and the emotional core of the order (such as flowers for a solemn funeral and flowers for a joyful celebration), which may lead to misplacement of emotional expression or reduced value. This step aims to upgrade the state tracking from "passive recording" to "active prediction and closed-loop control". The core implementation process is as follows: the system first synthesizes a virtual preservation corridor for a "fresh bouquet" unit based on the physiological state requirements of each independently allocated unit and the node physical microenvironment data of the nodes it passes through, for example, the humidity curve of the corridor requires a smooth transition from 70% at node A to 65% at node B, and sets the key flower art vital sign tolerance threshold (such as the relative water content of the petals should not be lower than 58%) for the corridor. In real-time monitoring of production and circulation, the system continuously obtains flower art vital sign data and runs a prediction model. When the model predicts that the bouquet will drop below the 58% tolerance threshold in the next segment of transportation (because the vehicle humidity is only 50%), the system immediately actively triggers an optimization instruction, for example, instructing the transport vehicle to start the humidification module to increase the humidity to 60%, or instructing to change the route and preferentially go to a transit node that can provide "watering rest". All optimization instructions and their execution effects are recorded. Finally, in the delivery packaging link, the system starts the scene adaptive packaging: for example, detecting that the actual flower opening degree is 90% (more blooming than the expected 80%), and the order scene is "anniversary", then automatically recommending and prompting the packaging personnel to use more luxurious bright packaging paper and add a "love is thick" custom card, instead of using standard simple packaging.

[0068] In the manner provided by the present embodiment, an active protection system for flower life state based on prediction and across nodes and a scene intelligent adaptation mechanism are constructed, realizing the leap from "environment adaptation" to "state escort", from "physical delivery" to "emotional delivery", and systematically reducing the circulation loss and significantly improving the scene fit and customer experience of the final delivery.

[0069] In some embodiments, a base contribution value is preset for each independently assigned unit in the flower art skill task chain information set, the base contribution value being calculated based on the complexity of the core skill label matched by the independently assigned unit and a standard work hour expectation value; the base contribution value is weightedly corrected according to the actual execution quality of each independently assigned unit under the quality node acceptance standard to generate an actual contribution value of the franchise node, the quality being based on feedback from an end customer; the actual contribution values of all independently assigned units in an order after correction are summarized, and the total revenue of the order is dynamically divided according to the proportion of the actual contribution value of each unit in the total contribution value to generate a franchise node capability profile; the franchise node capability profile represents quantitative indicators of historical performance and reliability of the node under the corresponding skill label, and is used to provide historical performance basis for screening the optimal execution node from the franchise network when a new flower art skill task chain information set is generated for a subsequent order.

[0070] The base contribution value can be a quantitative score representing the theoretical contribution degree of each independently assigned unit in the flower art skill task chain information set preset before task execution. The actual contribution value of the franchise node can be a final contribution degree score generated by weighted correction of the base contribution value according to the actual execution quality of the independently assigned unit under the quality node acceptance standard. Dynamic division can be a process of summarizing the actual contribution values of all independently assigned units in an order after quality correction by the system, and calculating and allocating the total revenue (such as total sales) of the order according to the proportion of the actual contribution value of each unit in the total actual contribution value of the order. The franchise node capability profile can be a dynamically updated digital profile representing quantitative indicators of historical performance and reliability of a certain franchise node under a specific core skill label. The historical performance basis can be quantitative historical performance data from the franchise node capability profile additionally called by the system when screening the optimal execution node for a unit in a new order to generate a flower art skill task chain information set, in addition to considering immediate factors such as skill matching, real-time load and environment.

[0071] Specifically, the traditional franchise network profit distribution mode mostly adopts simple proportional sharing (such as fixed extraction) or average distribution according to the number of participating nodes. This static mode has serious defects: it completely ignores the huge difference in skill complexity and working hours of different task units (for example, a 6-hour architecture engineering is equivalent to a 1-hour simple bouquet packaging), and cannot effectively reflect the pros and cons of the actual execution quality of the nodes (for example, a node that always gets good customer reviews gets the same reward as a node that often causes complaints), leading to the phenomenon of "big pot of rice", which seriously undermines the enthusiasm of high-quality nodes and indirectly encourages the inertia of low-quality nodes, causing the overall quality of the network to fall into a vicious cycle. To establish a positive incentive closed loop of "distribution according to work, high-quality reward", this step introduces a set of dynamic quantitative distribution system deeply bound to task value and execution quality. The core implementation process is: first, when the order is decomposed to generate the flower art skill task chain information set, the system calculates the basic contribution value of each independent distribution unit, for example, a unit that needs "spiral technique (advanced)" and "color gradient design" tags, the complexity coefficients are 0.7 and 0.5 respectively, the weighted comprehensive complexity coefficient is 0.6, and then multiplied by the standard working hour expectation value 3 hours to get the basic contribution value 1.8. After the order is executed, the system calculates a quality correction coefficient (such as 1.2 for high-quality performance) according to the quality node acceptance standard (such as completion degree, process precision) and the final customer feedback (such as the customer specially praised the color matching of this unit in the evaluation), and multiplies the basic contribution value 1.8 by the coefficient to get the actual contribution value of the node to this unit 2.16. The system aggregates the actual contribution values of all units in the order (assuming the total is 10.8), and the 2.16 of a certain unit accounts for 20%, then the dynamic cutting is performed, and the execution node corresponding to the unit obtains 20% of the total order income. At the same time, the performance (quality coefficient 1.2, income proportion 20%) of the node in the "spiral technique (advanced)" and "color gradient design" tags in this task is recorded and updated to its franchise node ability profile. When there is a new task that needs similar skill tags in the future, the accumulated high-performance data in the profile will serve as a strong historical performance basis, significantly improving the priority of the node in the selection.

[0072] By the way provided by the embodiment, a set of value quantification, quality linkage and dynamic distribution precise incentive and ability evaluation system is constructed, which fundamentally aligns the node income with its real contribution and ability level, drives the franchise network to evolve spontaneously towards high quality and specialization, and continuously optimizes the resource matching efficiency.

[0073] Figure 3 The structure diagram of a regional dynamic distribution system of a flower delivery franchise network provided by an embodiment of the application is shown in Figure 3As shown, the regional dynamic distribution system 300 of a flower franchise network of the embodiment includes a task chain information module 301, a node attribute mapping module 302, a collaborative reporting module 303, and a reevaluation information module 304.

[0074] The task chain information module 301 is configured to obtain a flower art order demand data set, perform biological analysis of flower art task multi-dimensional demand characteristics and task decomposition based on the flower art order demand data set, and generate a flower art skill task chain information set. The node attribute mapping module 302 is configured to perform dynamic matching of execution nodes and skill labels based on the flower art skill task chain information set, trigger targeted reconstruction and environmental adaptation of franchise functions accordingly, and generate a dynamic node attribute mapping scheme set for driving node specialization and process standardization. The collaborative reporting module 303 is configured to perform semi-finished product life state relay tracking and final integrity packaging based on the dynamic node attribute mapping scheme set, and generate and output a flower art order full-link collaborative report.

[0075] Optionally, the task chain information module 301, in the generation process based on the flower art skill task chain information set, is specifically configured to: the flower art order demand data set includes flower material physiological state requirements, process technique sequences, emotional expression scenes, and space-time delivery constraints; based on the flower art order demand data set, according to the progressive construction logic defined by the spatial structure and functional level of flower art works, the complex flower art order is decomposed into a flower art sub-task set having a strict task distinction relationship; based on the flower art sub-task set, each flower art sub-task is assigned a corresponding standardized task execution package, so as to integrate all the standardized task execution packages to generate the flower art skill task chain information set.

[0076] Optionally, the task chain information module 301, in the construction process based on the flower art sub-task set, is specifically configured to: based on the process technique sequences and the emotional expression scenes, a plurality of independent flower art work units contained in the order are analyzed, and the type and style features of each independent flower art work unit are determined; for each independent flower art work unit, combining the flower material physiological state requirements and the space-time delivery constraints, one or more core skill labels and corresponding standard work hour expectation values required to complete the work are matched from a preset flower art work demand mapping table; taking each independent flower art work unit as a reference, combining the matched core skill labels, the independent flower art work unit is decomposed into independent distribution units executable by different specialized franchise stores; all the independent distribution units are organized into the flower art sub-task set having a networked dependency relationship according to their logical relationship in the original order, material flow relationship, and the standard work hour expectation values.

[0077] Optionally, the task chain information module 301, in the process of packaging the standardized task execution package, is specifically configured to: the standardized task execution package encapsulates the execution configuration data of each independent flower art work unit, including: a set of flower artist skill tags, derived from the core skill tags matched by the corresponding independent allocation unit, used to identify the required professional skill combination for executing the task; an accurate bill of materials, generated by matching a preset material configuration rule according to the type, style characteristics and physiological state requirements of the independent allocation unit; quality node acceptance standards, defined according to the position of the independent allocation unit in the networked dependency relationship and its process characteristics.

[0078] Optionally, the node attribute mapping module 302, in the process of generating the dynamic node attribute mapping scheme set, is specifically configured to: based on the set of flower artist skill tags and the space-time requirements encapsulated by each independent allocation unit, according to the skill tag matching degree, the current workload of the node and the node physical microenvironment data, the optimal execution node is selected from the franchise network; send a reconstruction instruction to the optimal execution node to trigger the switching of its operation interface, material authority and work flow to a special execution mode matched with the allocated independent allocation unit; according to the special execution mode after the reconstruction of the node, the matching relationship between each optimal execution node and the allocated independent allocation unit, the reconstruction instruction and the switching result are encapsulated to generate the dynamic node attribute mapping scheme set.

[0079] Optionally, the node attribute mapping module 302, in the process of selecting the optimal execution node from the franchise network, is specifically configured to: based on the skill tag matching degree, the registered skill tags of the franchise node are matched with the set of flower artist skill tags encapsulated by the independent allocation unit, and the franchise node has a successful execution record of the same type of independent allocation unit in recent period; based on the current workload of the node, the workload saturation degree of the candidate node within the execution period specified by the space-time requirements of the independent allocation unit is evaluated, and the franchise node with sufficient capacity is selected; based on the node physical microenvironment data, the real-time physical environment parameters of the candidate franchise node are compared with the preset physical microenvironment requirements of the independent allocation unit, and the completeness of the operation space size, environmental humidity control equipment is verified; based on the comprehensive selection and verification results, the candidate franchise node is scored and sorted, and the most optimal node is selected as the optimal execution node.

[0080] Optionally, the collaborative report module 303 is specifically configured to perform semi-finished product life state relay tracking on the execution process of each independent allocation unit at the optimal execution node allocated by the independent allocation unit based on the dynamic node attribute mapping scheme set when generating the flower art order full-link collaborative report; after all independent allocation units are executed and quality node acceptance is completed, the semi-finished products of all units are finally summarized, inspected and packaged to complete the final integrity packaging; the flower art skill task chain information set, the dynamic node attribute mapping scheme set and the tracking data and packaging results of each link are integrated to generate the flower art order full-link collaborative report containing task decomposition, node matching, process tracking and quality confirmation.

[0081] Optionally, the collaborative report module 303 is specifically configured to dynamically synthesize a virtual preservation corridor across nodes based on the flower material physiological state requirements of each independent allocation unit and the node physical microenvironment data of the passing nodes, and preset a flower art vital sign tolerance threshold; in the process of making and transferring, the flower art vital signs are monitored in real time, and when the prediction data deviates from the flower art vital sign tolerance threshold, an optimization instruction containing adjusting transportation parameters or changing transfer nodes is actively triggered; before final delivery, scene adaptive packaging is triggered according to the actual life state of the flower art work and the emotional expression scene of the order.

[0082] Optionally, the system further comprises the reevaluation information module 304, which is specifically configured to preset a basic contribution value for each independent allocation unit in the flower art skill task chain information set, and the basic contribution value is calculated based on the complexity of the matched core skill label and the standard work hour expectation value; the basic contribution value is weighted and corrected according to the actual execution quality of each independent allocation unit under the quality node acceptance standard to generate a franchise node actual contribution value, and the quality is derived from the final customer feedback; the actual contribution values of all independent allocation units in the order after correction are summarized, and the total contribution value is dynamically divided according to the proportion of each unit in the total contribution value to generate a franchise node capability profile; the franchise node capability profile represents the quantitative indicators of historical performance and reliability of this node under the corresponding skill label, which is used to provide historical performance basis for selecting optimal execution nodes from the franchise network when generating new flower art skill task chain information sets in subsequent orders.

[0083] The system of the embodiment can be used to execute the method of any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here again.

Claims

1. A method for dynamic regional deployment of a flower delivery franchise network, characterized in that, The method comprises the following steps: Obtaining a flower art order demand data set, based on the flower art order demand data set, performing biological analysis and task decomposition of flower art task multi-dimensional demand characteristics, and generating a flower art skill task chain information set; Based on the flower art skill task chain information set, performing dynamic matching of execution nodes and skill labels, and triggering targeted reconstruction and environmental adaptation of franchise functions accordingly, generating a dynamic node attribute mapping scheme set for driving node specialization and process standardization; Based on the dynamic node attribute mapping scheme set, performing semi-finished product life state tracking and final integrity packaging, and generating and outputting a flower art order full-link collaborative report.

2. The method of claim 1, wherein, The generation process of the flower art skill task chain information set comprises: The flower art order demand data set includes flower material physiological state requirements, process technique sequences, emotional expression scenarios, and space-time delivery constraints; Based on the flower art order demand data set, according to the progressive construction logic defined by the spatial structure and functional level of flower art works, complex flower art orders are decomposed into a flower art sub-task set with strict task distinction relationship; Based on the flower art sub-task set, a corresponding standardized task execution package is allocated to each flower art sub-task, so as to integrate all the standardized task execution packages to generate the flower art skill task chain information set.

3. The method of claim 2, wherein, The construction process of the flower art sub-task set comprises: Based on the process technique sequence and the emotional expression scenario, a plurality of independent flower art work units contained in the order are analyzed, and the type and style characteristics of each independent flower art work unit are determined; For each of the independent flower art work units, combining the flower material physiological state requirements and the space-time delivery constraints, one or more core skill labels and corresponding standard work time expectation values required to complete the work are matched from a preset flower art work demand mapping table; Taking each of the independent flower art work units as a reference, combining the matched core skill labels, the independent distribution units for different specialized franchise stores are decomposed; All the independent distribution units are organized into the flower art sub-task set with networked dependency relationship according to their logical relationship in the original order, material flow relationship and the standard work time expectation value.

4. The method of claim 3, wherein, The standardized task execution package comprises: The standardized task execution package encapsulates the execution configuration data of each independent flower art work unit, including: A set of flower art teacher skill labels, derived from the core skill labels matched by the corresponding independent distribution unit, used to identify the required professional skill combination for executing the task; An accurate bill of materials, generated by matching a preset material configuration rule according to the type, style characteristics and flower material physiological state requirements of the independent distribution unit; Quality node acceptance standards are defined according to the position of the independent distribution unit in the networked dependency relationship and its process characteristics.

5. The method of claim 4, wherein, The generation process of the dynamic node attribute mapping scheme set comprises: Based on the skill label set encapsulated by each independent allocation unit and the space-time requirement, the optimal execution node is screened from the franchise network according to the skill label matching degree, the current work load of the node, and the node physical micro-environment data; The reconstruction instruction is sent to the optimal execution node, triggering the switching of its operation interface, material authority, and work flow to the special execution mode matched with the allocated independent allocation unit; According to the special execution mode after the node completes the reconstruction, the matching relationship between each optimal execution node and the allocated independent allocation unit, the reconstruction instruction, and the switching result are encapsulated to generate the dynamic node attribute mapping scheme set.

6. The method of claim 5, wherein, The optimal execution node is screened from the franchise network, including: Based on the skill label matching degree, the franchise node with the same independent allocation unit successfully executed record in the recent period is preferentially matched with the skill label encapsulated by the independent allocation unit; Based on the current work load of the node, the work load saturation degree of the candidate node within the execution period specified by the space-time requirement of the independent allocation unit is evaluated, and the franchise node with sufficient capacity is screened out; Based on the node physical micro-environment data, the real-time physical environment parameters of the candidate franchise node are compared with the preset physical micro-environment requirement of the independent allocation unit, and it is verified whether the operation space size, environmental temperature and humidity control equipment are complete and meet the standards; The candidate franchise node is scored and sorted according to the comprehensive screening and verification results, and the node with the best comprehensive performance is selected as the optimal execution node.

7. The method of claim 5, wherein, The generation process of the flower art order full-link collaborative report includes: Based on the dynamic node attribute mapping scheme set, the semi-finished product life state relay tracking of the execution process of each independent allocation unit at the optimal execution node allocated by it is performed; After all independent allocation units are executed and quality node acceptance is completed, the semi-finished products of all units are finally summarized, inspected, and packaged, and the final integrity encapsulation is completed; The flower art skill task chain information set, the dynamic node attribute mapping scheme set, and the tracking data and encapsulation results of each link are integrated to generate the flower art order full-link collaborative report containing task decomposition, node matching, process tracking, and quality confirmation.

8. The method of claim 7, wherein, The semi-finished product life state tracking includes: Based on the flower material physiological state requirement of each independent allocation unit and the node physical micro-environment data of the passing node, a virtual preservation corridor across nodes is dynamically synthesized, and a flower art vital sign tolerance threshold is preset; During the production and circulation process, the flower art vital signs are monitored in real time, and when the predicted data deviates from the flower art vital sign tolerance threshold, the optimization instruction including adjusting the transportation parameters or changing the transfer node is actively triggered; Before final delivery, according to the actual life state of the flower art work and the emotional expression scene of the order, the final scene adaptive encapsulation is triggered.

9. The method of claim 8, wherein, The method further includes: Preset a basic contribution value for each of the independent allocation units in the flower art skill task chain information set, the basic contribution value being calculated based on the complexity of the core skill label matched therewith and the standard work hour expectation value; According to the actual execution quality of each of the independent allocation units under the quality node acceptance standard, the basic contribution value is weightedly corrected to generate a franchised node actual contribution value, the quality being derived from the feedback of the end customer; The actual contribution values of all the independent allocation units in the order after correction are summarized, and the total revenue of the order is dynamically divided according to the proportion of the actual contribution value of each unit in the total contribution value to generate a franchised node capability profile; The franchised node capability profile represents the quantitative indicators of historical performance and reliability of the node under the corresponding skill label, which is used to provide historical performance basis for screening the optimal execution node from the franchised network when generating a new flower art skill task chain information set for the subsequent order.

10. A regional dynamic deployment system for a flower delivery franchise network, characterized in that, Applied to the method of any one of claims 1-9, comprising: a task chain information module for obtaining a flower art order demand data set, performing biological resolution and task decomposition of flower art task multi-dimensional demand characteristics based on the flower art order demand data set, and generating a flower art skill task chain information set; a node attribute mapping module for performing dynamic matching of execution nodes and skill labels based on the flower art skill task chain information set, and triggering targeted reconstruction and environmental adaptation of the franchised store function accordingly to generate a dynamic node attribute mapping scheme set for driving node specialization and process standardization; a collaborative reporting module for performing semi-finished product life state relay tracking and final integrity encapsulation based on the dynamic node attribute mapping scheme set to generate and output a flower art order full-link collaborative report.

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