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CN-121998539-A - Mailbox and express delivery cabinet priority collaborative delivery decision-making method based on package attribute

CN121998539ACN 121998539 ACN121998539 ACN 121998539ACN-121998539-A

Abstract

The invention relates to the technical field of intelligent scheduling in a terminal delivery scene, in particular to a parcel-attribute-based letter box and express delivery cabinet priority collaborative delivery decision method, which comprises the steps of firstly acquiring a multidimensional attribute feature vector of a parcel to be delivered, calculating a priority ordering result of a traditional letter box and an intelligent express delivery cabinet through a collaborative delivery decision function, monitoring physical state data of two types of terminals in real time, and sequentially verifying whether the terminals meet delivery constraint conditions according to priority; and issuing a delivery authorization instruction to the terminal meeting the conditions, triggering the decision function to recalculate the update priority if the delivery authorization instruction does not meet the conditions, and simultaneously realizing iterative optimization of the decision model based on the historical delivery data. The invention opens up the resource barriers of two delivery terminals, realizes the accurate adaptation of package requirements and terminal capacity, improves the accuracy of terminal delivery decision and the resource utilization rate, and adapts to the actual operation requirements of terminal delivery.

Inventors

  • DAI SHIHAO

Assignees

  • 福建美成祥科技发展有限公司

Dates

Publication Date
20260508
Application Date
20260409

Claims (7)

  1. 1. A parcel attribute-based mailbox and express delivery cabinet priority collaborative delivery decision-making method is characterized by comprising the following steps: Step S1, acquiring package attribute information of packages to be delivered, and analyzing the package attribute information into multi-dimensional attribute feature vectors, wherein the multi-dimensional attribute feature vectors at least comprise physical dimension, storage safety dimension, aging requirement dimension and value grade dimension; Step S2, inputting the multidimensional attribute feature vector into a preset collaborative delivery decision function, and calculating a priority ordering result of a traditional letter box and an intelligent express cabinet associated with a target address by a parcel to be delivered based on the multidimensional attribute feature vector by the collaborative delivery decision function; step S3, monitoring the physical state data of a delivery port of a traditional letter box and the physical state data of a grid port of an intelligent express cabinet in real time; Step S4, based on the priority ordering result, sequentially verifying whether the physical state data corresponding to the delivery terminal ranked at the front meets the delivery constraint condition; And step S5, if the delivery constraint conditions are not met by the delivery terminals in the current ranking, triggering a cooperative delivery decision function to recalculate based on the multidimensional attribute feature vector, generating a new priority ranking result for the rest delivery terminals, and returning to the execution step S4 until the available delivery terminals are determined or delivery failure early warning is generated after all the terminals are traversed.
  2. 2. The method for collaborative delivery decision-making of the priority of the mailbox and the express delivery cabinet based on the package attribute, which is disclosed in claim 1, is characterized by obtaining package attribute information of packages to be delivered, and analyzing the package attribute information into a multidimensional attribute feature vector, wherein the multidimensional attribute feature vector at least comprises a physical dimension, a storage security dimension, an aging requirement dimension and a value grade dimension, and specifically comprises the following steps: S1-1, acquiring package attribute information of packages to be delivered by scanning package face sheets or reading electronic tags, wherein the package attribute information at least comprises physical size parameters, storage protection identifiers, delivery aging identifiers and value grade identifiers; s1-2, analyzing physical size parameters, extracting length, width and height values of a package, and generating a characteristic value of physical size dimension through a size matching algorithm by combining a preset standard cell size library, wherein the characteristic value is used for representing the adaptation degree of the package and different delivery terminal cells; S1-3, analyzing a storage protection identifier, identifying storage special requirements of the package, including but not limited to damp-proof, pressure-proof, light-proof or temperature control requirements, mapping the storage protection identifier into a characteristic value of a storage safety dimension according to an identification result, wherein the characteristic value is used for representing the requirement strength of the package on environmental safety; S1-4, resolving a delivery ageing identification, extracting expected delivery time or cut-off delivery time of a package, calculating ageing urgency in combination with the current time, and mapping the ageing urgency into a characteristic value of an ageing requirement dimension, wherein the characteristic value is used for representing the urgency of the package to be delivered in time; S1-5, analyzing the value grade identification, obtaining the declaration value or the warranty amount of the package, and converting the declaration value or the warranty amount into a characteristic value of the value grade dimension according to a preset value grading threshold, wherein the characteristic value is used for representing the economic importance of the package; And S1-6, carrying out normalization processing on characteristic values of physical dimension, storage safety dimension, aging requirement dimension and value grade dimension, and combining according to a preset sequence to generate a multidimensional attribute characteristic vector of packages to be delivered.
  3. 3. The method for collaborative delivery decision-making of the priority of the letter box and the express delivery cabinet based on the package attribute, which is disclosed in claim 1, is characterized in that a multidimensional attribute feature vector is input into a preset collaborative delivery decision-making function, and the collaborative delivery decision-making function calculates a priority ordering result of the traditional letter box and the intelligent express delivery cabinet associated with the to-be-delivered package to the target address based on the multidimensional attribute feature vector, and specifically comprises the following steps: S2-1, acquiring terminal attribute information of a traditional letter box and an intelligent express cabinet associated with a target address, and respectively constructing a first terminal attribute vector of the traditional letter box and a second terminal attribute vector of the intelligent express cabinet, wherein the terminal attribute information at least comprises a grid size capacity, an environmental safety level, an average idle period and a historical delivery success rate; S2-2, carrying out matching degree calculation on the multidimensional attribute feature vector, the first terminal attribute vector and the second terminal attribute vector respectively to obtain a first matching degree score of packages to be delivered and a traditional letter box and a second matching degree score of packages to be delivered and an intelligent express cabinet; S2-3, acquiring historical delivery data of a traditional letter box and an intelligent express cabinet in a current delivery period, and respectively calculating a first availability weight coefficient of the traditional letter box in the current period and a second availability weight coefficient of the intelligent express cabinet in the current period based on the historical delivery data; S2-4, carrying out weighted fusion on the first matching degree score and the first availability weight coefficient to generate a first comprehensive priority score of the traditional letter box; S2-5, sorting the first comprehensive priority score and the second comprehensive priority score, and generating a priority sorting result of the traditional letter box and the intelligent express cabinet associated with the target address by the packages to be delivered according to the sorting result.
  4. 4. The parcel attribute-based mailbox and courier cabinet priority collaborative delivery decision-making method of claim 1 is characterized by monitoring delivery port physical state data of a traditional mailbox and grid port physical state data of an intelligent courier cabinet in real time, and specifically comprising the following steps: S3-1, establishing real-time data connection with a traditional letter box control system and an intelligent express cabinet control system which are respectively associated with a target address through a preset communication interface of the Internet of things, and acquiring current physical state data of each delivery port of the traditional letter box and current physical state data of each grid port of the intelligent express cabinet according to a set sampling period or an event triggering mode, wherein the delivery port physical state data at least comprises a delivery port opening and closing state, a locking state, an idle occupation identifier and a mechanical fault identifier, and the grid port physical state data at least comprises a grid port occupation state, a cabinet door locking state, a grid port idle identifier and an electric control fault identifier; s3-2, respectively carrying out data cleaning and format normalization processing on the acquired delivery port physical state data and the acquired grid port physical state data, removing abnormal or repeated data, and carrying out structural storage on the cleaned physical state data according to the delivery terminal identification and the grid port identification to generate a physical state information table updated in real time; S3-3, dynamically marking the current availability labels of each traditional letter box delivery port and each intelligent express cabinet according to a physical state information table, wherein the availability labels at least comprise idle availability, occupied availability or unavailable failure, and associating the marked availability labels with attribute information of corresponding delivery terminals to form a terminal real-time state data set with a state identifier, wherein the terminal real-time state data set is used for verifying whether the delivery terminals meet delivery constraint conditions in subsequent steps.
  5. 5. The parcel attribute-based mailbox and courier cabinet priority collaborative delivery decision-making method of claim 1, wherein the method is characterized by sequentially verifying whether physical state data corresponding to a delivery terminal ranked at the front meets delivery constraint conditions based on a priority ranking result, and specifically comprises the following steps: S4-1, acquiring a priority ordering result, reading a terminal real-time state data set with a state identifier, and extracting physical state data corresponding to a traditional letter box or an intelligent express cabinet with highest current ranking from the terminal real-time state data set according to the order of the priority from high to low; S4-2, according to the type of the delivery terminal to be verified, a preset delivery constraint condition model is called, wherein the delivery constraint condition model at least comprises a grid capacity threshold matched with the physical size of the package, an environment state threshold matched with the storage security requirement of the package and a basic admission condition matched with the current availability label of the terminal; S4-3, inputting the multidimensional attribute feature vector and the physical state data into a delivery constraint condition model at the same time, and executing three parallel verification by the delivery constraint condition model, namely firstly verifying whether the current availability label of the terminal is in an idle available state, secondly verifying whether the actual grid size of the terminal is larger than or equal to the space requirement required by the package physical size dimension, and finally verifying whether the real-time environment parameter of the terminal meets the special dampproof, anti-compression or light-proof requirements corresponding to the package storage safety dimension; And S4-4, if all the three verification results are passed, judging that the delivery terminal with the front ranking meets the delivery constraint condition and determining the delivery terminal as a ready-to-use deliverable terminal, if any one verification result is not passed, judging that the delivery terminal does not meet the delivery constraint condition, marking the terminal as a delivery verification failure terminal in a terminal real-time state data set, extracting the delivery terminal with the next ranking in the priority ranking result, and repeatedly executing the steps S4-1 to S4-4 until the delivery terminal meeting the delivery constraint condition is found or all the terminals are traversed.
  6. 6. The method for collaborative delivery decision-making of letters and newsletters and express cabinets based on package attribute according to claim 1, wherein if the letter and the express cabinets based on package attribute are satisfied, a delivery authorization instruction is sent to the delivery terminal, if the delivery terminal of the current rank does not satisfy delivery constraint conditions, a collaborative delivery decision-making function is triggered to recalculate based on multidimensional attribute feature vectors, a new priority ordering result for the rest delivery terminals is generated, and the method returns to execute step S4 until available delivery terminals are determined or delivery failure early warning is generated after all terminals are traversed, and the method specifically comprises the following steps: S5-1, if the delivery terminal ranked at the front in the step S4 meets the delivery constraint condition, immediately generating a delivery authorization instruction containing a package identifier to be delivered and a target delivery terminal identifier, and issuing the delivery authorization instruction to a corresponding traditional letter box control system or intelligent express cabinet control system through an Internet of things communication interface so as to open a designated grid or delivery port for a delivery person to complete delivery operation; S5-2, if the delivery terminal with the front rank at present is judged in the step S4 not to meet the delivery constraint condition, acquiring a terminal identification of the delivery terminal and a specific reason for verification failure of the delivery terminal, dynamically adding the terminal identification to an exclusion terminal list of the delivery task, and storing the verification failure reason and the current multidimensional attribute feature vector in a correlated manner for weight adjustment in a subsequent recalculation process; s5-3, taking the excluded terminal list as constraint input, synchronously calling the collaborative delivery decision function in the step S2, automatically shielding the delivery terminals which are failed to be verified according to the excluded terminal list on the basis of retaining the original multidimensional attribute feature vector, and carrying out matching degree calculation and usability weight fusion on the rest of traditional letter boxes and intelligent express cabinets again to generate a new priority ordering result aiming at the rest of delivery terminals; S5-4, returning the new priority ordering result to the step S4, sequentially extracting the next delivery terminal to be verified according to the updated ranking order, repeatedly executing the verification process of the physical state data until an available delivery terminal meeting all delivery constraint conditions is determined, and sending a delivery authorization instruction to the delivery terminal; S5-5, if the delivery terminal meeting the delivery constraint condition cannot be found after traversing all the traditional letter boxes and intelligent express cabinets associated with the target address, terminating the delivery decision flow, automatically generating delivery failure early warning information comprising package identification, failure reasons and suggested processing modes, pushing the early warning information to the delivery terminal or a background management system, and prompting manual intervention or rescheduling of a delivery path.
  7. 7. The method for collaborative delivery decision-making of letter box and express delivery cabinet priority based on package attribute according to claim 1, wherein after generating delivery authorization instruction or delivery failure early warning in step S5, further comprising the steps of: Step S6, acquiring decision process data and final delivery result data generated by the delivery decision process, and storing the decision process data and the final delivery result data in a historical delivery record database in a correlated manner, wherein the decision process data at least comprises an input multidimensional attribute feature vector, a matching degree score and a comprehensive priority score of each delivery terminal generated by intermediate calculation, a physical state verification process record of each delivery terminal and an exclusion terminal list; S7, extracting a plurality of historical delivery records in a preset time period from a historical delivery record database by a preset fixed period or based on an event triggering mode, taking a multi-dimensional attribute feature vector in each historical delivery record as an input sample, and taking a corresponding actual delivery terminal identifier and a delivery success state as expected output to construct a training data set; S8, inputting a training data set into an initial collaborative delivery decision function model for supervised learning and parameter optimization training, and dynamically adjusting a weight coefficient for calculating a matching degree score and a weight factor for fusing availability weight coefficients in the collaborative delivery decision function by minimizing deviation between a predicted delivery terminal and an actual delivery terminal; And step S9, deploying the optimized collaborative delivery decision function model to an online decision system to replace the original collaborative delivery decision function for the priority ranking calculation of the packages to be delivered later, so as to realize the iterative updating of the decision model based on historical delivery feedback and the continuous improvement of the decision accuracy.

Description

Mailbox and express delivery cabinet priority collaborative delivery decision-making method based on package attribute Technical Field The invention relates to the technical field of intelligent scheduling in a terminal delivery scene, in particular to a parcel attribute-based letter box and express delivery cabinet priority collaborative delivery decision method. Background With the continuous rapid development of electronic commerce and express logistics industry, end delivery is used as the final link of the whole logistics service link, and the operation efficiency and the service quality directly determine the user experience and the cost control level of the whole logistics service. The intelligent express cabinet becomes a core infrastructure of the current terminal delivery scene, effectively solves the problem that the delivery terminal and the receiving terminal are not matched in time, but the problem that the peak time grid resources are tense and the coverage capacity of partial areas is insufficient in the operation process is common. The traditional letter box is used as public delivery facilities for residential community standard allocation, has wide space coverage foundation and stable physical deployment conditions, has the problems of single function and extremely low resource utilization rate for a long time, and most facilities are in an idle state and cannot be effectively integrated into a terminal delivery system of modern express logistics. In the current end delivery field, two delivery systems of a traditional letter box and an intelligent express cabinet are mutually split, and a unified cooperative scheduling and decision mechanism is lacked. Most of daily delivery decisions of a delivery person depend on personal experience judgment, and the problems of insufficient suitability of a package and a delivery terminal, high delivery failure rate and unbalanced terminal resource allocation easily occur due to lack of a standardized accurate decision system based on the package full-dimension attribute. Most of the existing mainstream delivery decision methods are designed only for single type delivery terminals, global optimal scheduling of two types of terminal resources cannot be achieved, multiple core requirements of delivery efficiency, package safety and resource utilization efficiency are difficult to be considered, and high-quality development of the terminal delivery industry is severely restricted. Disclosure of Invention The invention aims to provide a parcel attribute-based mailbox and express delivery cabinet priority collaborative delivery decision method, which aims to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: A parcel attribute-based mailbox and express delivery cabinet priority collaborative delivery decision-making method comprises the following steps: Step S1, acquiring package attribute information of packages to be delivered, and analyzing the package attribute information into multi-dimensional attribute feature vectors, wherein the multi-dimensional attribute feature vectors at least comprise physical dimension, storage safety dimension, aging requirement dimension and value grade dimension; Step S2, inputting the multidimensional attribute feature vector into a preset collaborative delivery decision function, and calculating a priority ordering result of a traditional letter box and an intelligent express cabinet associated with a target address by a parcel to be delivered based on the multidimensional attribute feature vector by the collaborative delivery decision function; step S3, monitoring the physical state data of a delivery port of a traditional letter box and the physical state data of a grid port of an intelligent express cabinet in real time; Step S4, based on the priority ordering result, sequentially verifying whether the physical state data corresponding to the delivery terminal ranked at the front meets the delivery constraint condition; And step S5, if the delivery constraint conditions are not met by the delivery terminals in the current ranking, triggering a cooperative delivery decision function to recalculate based on the multidimensional attribute feature vector, generating a new priority ranking result for the rest delivery terminals, and returning to the execution step S4 until the available delivery terminals are determined or delivery failure early warning is generated after all the terminals are traversed. As a preferable scheme, after the step S5 of generating the delivery authorization instruction or the delivery failure early warning, the method further comprises the following steps: Step S6, acquiring decision process data and final delivery result data generated by the delivery decision process, and storing the decision process data and the final delivery result data in a historical delivery record database in a corre