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CN-122022629-A - Intelligent carrying logistics system integrating Internet of things and machine vision

CN122022629ACN 122022629 ACN122022629 ACN 122022629ACN-122022629-A

Abstract

The invention discloses an intelligent carrying logistics system integrating internet of things and machine vision, which relates to the technical field of intelligent logistics and industrial internet of things, and comprises a scene sensing configuration module, a sensing data acquisition module, a vision data processing module, a scene storage module and a linkage control module; the method realizes the collaborative collection and verification of the dual-source data, ensures the reliable transmission and application of the data and improves the adaptability of the system by accurately identifying the adaptive logistics scene, establishes a scene layered storage system, cooperates with a three-dimensional index and efficiency evaluation model, links and regulates the whole flow, realizes the rapid positioning retrieval, collaborative optimization storage and processing of the data, improves the utilization rate and processing efficiency of resources, and reduces the time cost and the operation and maintenance difficulty.

Inventors

  • LI CUI

Assignees

  • 青岛理工大学

Dates

Publication Date
20260512
Application Date
20260131

Claims (10)

  1. 1. The intelligent carrying logistics system integrating the Internet of things and the machine vision is characterized by comprising a scene sensing configuration module, a sensing data acquisition module, a vision data processing module, a scene storage module and a linkage control module; The scene sensing configuration module receives a scene trigger signal, forms a scene identifier after identifying a scene type, configures sensing equipment corresponding to the scene, initializes sensing equipment parameters, generates scene adaptation parameters, and sends the scene identifier and the scene adaptation parameters to the sensing data acquisition module; the sensing data acquisition module is used for switching the sensing data acquisition mode of the corresponding scene through the received scene identification and scene adaptation parameters, acquiring real-time sensing data of cargoes and preprocessing the real-time sensing data to form a standardized data packet; the visual data processing module is used for receiving the standardized data packet, acquiring and processing visual data by utilizing a scene self-adaptive visual acquisition and processing technology through image recognition logic of a corresponding scene to form a visual data packet; The scene storage module is used for receiving and storing the verification result and the visual data packet, dividing the storage subarea and the sub subarea according to the scene, and establishing a three-dimensional index system through a dynamic scene three-dimensional subarea index algorithm; The linkage control module receives the storage state synchronization parameters, evaluates the data storage efficiency according to a preset efficiency evaluation model, generates an optimization instruction according to the evaluation result of the data storage efficiency, feeds the optimization instruction back to the whole flow module, and dynamically adjusts the operation of each module.
  2. 2. The intelligent carrying logistics system integrating the internet of things and the machine vision according to claim 1 is characterized in that sensing equipment corresponding to a scene is configured in a scene sensing configuration module, parameters of the sensing equipment are initialized, scene characteristic information contained in a trigger signal is extracted and analyzed after the scene trigger signal is received, a corresponding logistics scene type is identified, a unique corresponding scene identifier is configured for the identified logistics scene type by adopting a scene coding mode corresponding to the logistics scene type, corresponding sensing equipment is matched for the identified logistics scene type, the operation parameters of the sensing equipment are initialized, the corresponding scene adaptation parameters are generated by combining the scene type and the initialized operation state of the sensing equipment, and the generated scene identifier and the scene adaptation parameters are synchronously transmitted to a sensing data acquisition module.
  3. 3. The intelligent carrying logistics system integrating the internet of things and the machine vision, which is disclosed by claim 1, is characterized in that the process of acquiring real-time sensing data of goods in the sensing data acquisition module and preprocessing the real-time sensing data to form a standardized data packet comprises the steps of matching a sensing data acquisition mode of a corresponding scene after receiving scene identification and scene adaptation parameters and completing switching, starting configured sensing equipment to acquire real-time sensing data of the goods, performing preprocessing operations of data filtering, outlier rejection and uniform data format on the acquired real-time sensing data, and integrating and packaging the preprocessed sensing data to form the standardized data packet with uniform structure.
  4. 4. The intelligent transportation logistics system integrating the internet of things and the machine vision according to claim 1 is characterized in that the vision data processing module collects and processes vision data by utilizing a scene self-adaptive vision collection and processing technology, and the specific step of forming a vision data packet is that after receiving a standardized data packet, scene information in the data packet is analyzed, the running state of vision collection equipment is correspondingly adjusted, the vision collection equipment is started to obtain vision image information of goods, object recognition and feature extraction are carried out on the obtained vision image according to image recognition logic of the corresponding scene, and the extracted vision feature information of the goods is integrated to form the vision data packet.
  5. 5. The intelligent transportation logistics system of claim 1, wherein the calculation formula of the sensing-vision data adaptation algorithm in the vision data processing module is as follows: , wherein, A consistent bias value is cooperated for the dual source data; A data check sample size; a data sample sequence number; is the first Group sensing data; is the first The collection time of the group sensing data; is the first Group visual data; Compensating for a time offset; is the weight coefficient of the i-th group data.
  6. 6. The intelligent handling logistics system integrating the internet of things and the machine vision according to claim 1 is characterized in that the division rules of dividing storage partitions and sub-partitions according to scenes in the scene storage module are that after receiving a check result and a vision data packet, first-level storage partitions are divided according to the recognized logistics scene types, each first-level storage partition corresponds to a logistics operation scene respectively, second-level sub-partitions are divided according to attribute characteristics of data in each first-level storage partition, different second-level sub-partitions correspond to check result data and vision data packet data respectively, and third-level sub-partitions are divided according to time sequence characteristics of data acquisition in each second-level sub-partition.
  7. 7. The intelligent transportation logistics system integrating internet of things and machine vision according to claim 1, wherein a calculation formula of the dynamic scene three-dimensional partition index algorithm in the scene storage module is as follows: , wherein, K is the target data sequence number of the index to be established; Coding the scene partition quantization of the kth data; amplifying the coefficients for the time dimension partition; quantizing the code for the temporal sub-partition of the kth data; quantization coding is carried out on the attribute sub-partition of the kth data; amplifying coefficients for attribute dimension partitions; is a dynamic correction term for the kth piece of data.
  8. 8. The intelligent carrying logistics system integrating the internet of things and the machine vision, which is disclosed by claim 1, is characterized in that a three-dimensional index system in the scenerized storage module adopts a hierarchical progressive three-dimensional association structure, wherein the first dimension corresponds to a logistics scene type of a primary storage partition, the second dimension corresponds to a data attribute characteristic of a secondary sub-partition, the third dimension corresponds to a data acquisition time sequence characteristic of a tertiary sub-partition, and a one-to-one mapping association relation is formed among the three dimensions.
  9. 9. The intelligent carrying logistics system integrating the internet of things and the machine vision according to claim 1 is characterized in that the process of generating storage state synchronization parameters in the scene storage module according to the storage partition, the sub-partition and the establishment state of the three-dimensional index system is to monitor the occupation condition of each storage partition, the classification condition of each sub-partition and the association condition of the three-dimensional index system, to conduct standardized carding on information obtained through monitoring, to integrate the carded information according to a unified format of data interaction among modules, and to generate the storage state synchronization parameters capable of representing the real-time running state of the storage system.
  10. 10. The intelligent transportation logistics system integrating the internet of things and the machine vision according to claim 1 is characterized in that a performance evaluation model in the linkage control module is designed by adopting a three-layer architecture and comprises an index input layer, an analysis layer and a result output layer, wherein the process of evaluating data storage performance according to the preset performance evaluation model comprises the steps of receiving storage state synchronous parameters by the index input layer, screening out three evaluation indexes of partition utilization rate, index response speed and data storage stability, performing standardized processing, comprehensively analyzing the influence degree of the data storage performance by the analysis layer by combining the three evaluation indexes after the processing to form a quantitative performance characterization result, and the result output layer correspondingly matches performance state description with the quantitative performance characterization result to generate an evaluation report comprising performance shortboards and standard conditions to finish evaluation of the data storage performance.

Description

Intelligent carrying logistics system integrating Internet of things and machine vision Technical Field The invention relates to the technical field of intelligent logistics and industrial internet of things, in particular to an intelligent logistics carrying system integrating internet of things and machine vision. Background Along with the transition of logistics industry to intellectualization and automation, an intelligent carrying system becomes core equipment for improving logistics efficiency and reducing labor cost, the perceptibility of the technology of the Internet of things and the accurate recognition advantage of machine vision are combined to provide support for upgrading of intelligent carrying logistics, at present, logistics scenes are increasingly diversified, goods types and operating environments are complex and changeable, higher requirements are provided for scene suitability, data acquisition reliability and storage processing efficiency of the system, and the comprehensive requirements of modern logistics on real-time perception, accurate analysis, efficient storage and dynamic optimization are difficult to meet by the traditional carrying system, so that an integrated intelligent logistics solution integrating multiple technologies is urgently needed to be constructed. In the prior art of intelligent carrying logistics, a scene adaptation mechanism is imperfect, parameters of sensing equipment are mostly fixedly arranged, acquisition modes cannot be dynamically adjusted according to different logistics operation scenes, data acquisition pertinence is insufficient, accuracy is limited, meanwhile, sensing data and visual data are independently acquired and processed, an effective collaborative consistency check mechanism is lacked, the two types of data are difficult to identify when deviation exists, reliability of subsequent decision is affected, in the aspect of data storage, a single storage architecture is mostly adopted, fine partition management is not carried out according to scene types, data attributes and acquisition time sequences, an index system is simple in design, data retrieval efficiency is low, storage resource waste is caused, and in addition, the system is lacked in a full-flow efficiency evaluation and dynamic optimization mechanism, parameters cannot be adjusted in real time according to a storage efficiency short plate, and the improvement of the overall operation efficiency of the system is restricted. The defects of the prior art in the aspects of scene adaptation, data collaboration, storage management, dynamic optimization and the like lead to low operation efficiency, insufficient data reliability and low resource utilization rate of the intelligent carrying logistics system, are difficult to adapt to complicated and changeable modern logistics demands, and increase the time cost and operation and maintenance difficulty of logistics operation. Therefore, development of an intelligent carrying logistics system integrating internet of things and machine vision is urgently needed, the problems in the prior art are solved by constructing a scene sensing configuration, double-source data collaborative verification, fine scene storage and full-flow linkage control mechanism, scene adaptability, data reliability and operation efficiency of the intelligent carrying logistics system are remarkably improved, and further improvement of the intelligent level of the logistics industry is promoted. Disclosure of Invention The invention aims to make up the defects of the prior art, provides an intelligent carrying logistics system integrating the Internet of things and machine vision, which can accurately identify an adaptive logistics scene by constructing a scene sensing configuration and data acquisition cooperative mechanism, ensure the effectiveness and reliability of data acquisition, establish a scene layered storage system, realize rapid positioning and retrieval of data by utilizing a three-dimensional index, and dynamically adjust and optimize the operation of the system by combining a performance evaluation model and a linkage control module. The intelligent carrying logistics system integrating the Internet of things and the machine vision comprises a scene sensing configuration module, a sensing data acquisition module, a vision data processing module, a scene storage module and a linkage control module; The scene sensing configuration module receives a scene trigger signal, forms a scene identifier after identifying a scene type, configures sensing equipment corresponding to the scene, initializes sensing equipment parameters, generates scene adaptation parameters, and sends the scene identifier and the scene adaptation parameters to the sensing data acquisition module; the sensing data acquisition module is used for switching the sensing data acquisition mode of the corresponding scene through the received scene identification and scene adaptation paramet