Autonomous Cellular Tracking Device for Logistics Auto-Provisioning
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Solution Overview
Problem
Current shipping systems face inefficiencies and errors in data provisioning, particularly in tracking and managing shipments, especially for sensitive goods, due to manual processes and lack of automated monitoring of environmental conditions during transit, leading to potential damage and loss.
Innovation Solution
Deployment of autonomous cellular tracking devices that auto-provision shipping data by associating themselves with shipment line items in databases, monitoring environmental conditions, and reporting status in real-time, eliminating the need for human intervention and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data provisioning processes are used to associate shipment identifiers with tracking devices, then system complexity is reduced, but productivity and reliability deteriorate due to human error and time-consuming operations
Solution Approach 1:
The tracking device automatically associates itself with the shipment by detecting the shipment identifier through its sensor (e.g., RFID reader, barcode scanner) and autonomously transmitting this information to the server. This self-service mechanism eliminates the need for manual data entry by shipping agents, thereby increasing productivity while the automated nature of the process maintains system simplicity through standardized protocols
Solution Approach 2:
The tracking device is pre-configured with its unique identifier and detection capabilities before deployment. When attached to or near the shipment, it immediately begins detecting and capturing the shipment identifier, preparing the data for association in advance. This preliminary action enables seamless integration into the logistics system without requiring complex real-time processing or manual intervention
2Loss of time
If manual data entry by shipping agents is used to load shipment information into the database, then measurement precision is maintained through human verification, but loss of time increases due to manual processing
Solution Approach 1:
The manual mechanical process of scanning and data entry by shipping agents is replaced with an automated electronic system. The tracking device's sensor automatically detects the shipment identifier, and the server programmatically associates this with the tracking device identifier. This substitution eliminates manual processing time while maintaining reliability through automated validation protocols and error-checking mechanisms in the software
Solution Approach 2:
The server provides feedback to the tracking device to confirm successful association of the shipment identifier. This feedback loop ensures data accuracy by verifying that the automatic data capture was successful and the association was properly recorded in the database, thereby maintaining reliability without manual verification
3Object-affected harmful factors
If environmental monitoring is not implemented during transit, then device complexity is reduced, but object-generated harmful factors increase due to undetected damage to sensitive goods
Solution Approach 1:
The tracking device is designed with multi-functionality, serving both as a location tracker and an environmental monitor. By integrating multiple sensors (temperature, humidity, shock) into a single device that already communicates with the server, the system protects goods from environmental harm without adding separate monitoring systems, thereby limiting the increase in overall complexity
Data Source
AI summary
Autonomous cellular transceivers for data logging, tracking and managing shipments, the devices having auto-provisioning capability. To auto-provision itself, the cellular device must be associated in a digital record with a particular shipment or object based on physical attachment or proximity—without manual assistance. Subsequent logging, tracking and managing records in a database or databases accessible to one or more users must be updated to reflect that assignment. Auto-provisioning is achieved by associating a cellular identification number of the autonomous cellular device with a shipment or object having a unique shipping identification number or an inventory identification number. Once the identifiers are coupled, the system creates a “shipment profile” of relevant data collected by a sensor or sensors on the cellular device while en route. The system will monitor, log, and report timepoint, waypoint, condition of the goods (as evidenced or extrapolated from sensor data) while in transit. Upon delivery, when polled, or at intervals, the system may publish a link to the data and/or a summary of the shipment status and condition, and push that link onto smart devices held by decision makers and agents in the logistics management tree. In a first instance, termed here “contextual auto-provisioning”, capture of location, direction of motion, and time of departure, and so forth, with correlation to known delivery routes, schedules, sounds, and other granular data, is used for autonomous data provisioning. Other means for auto-provisioning include “RFID piggyback means” and “cellular ranked ping means”. In a preferred application in cold chain monitoring, once self-assignment is made, the cellular device will log shipment temperature during transit and the cellular device or system will interrogate cellular networks for location and time. Reporting is by cellular radio, and can include temperature, location by cellular triangulation, projected arrival time, and any alarm notifications, for example. Reports can be directed to smart phones, to mobile clients more generally, and to cloud-hosted administrative services. Uses in logistics also include monitoring shipments for exposure to volatiles, humidity, or shock outside of accepted limits, or any diversion, delivery error, or delay of goods, particularly as applied to perishable goods such as foodstuffs and pharmaceuticals, or to manage inventory of items such as bulk materials, gas cylinders, blood bags, and so forth.