IoT Population Prediction for Children Institution Planning

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Solution Overview

Problem

The lack of clear population data prediction leads to blindness in constructing children's management institutions, resulting in potential omissions and increased burden on supervision.

Innovation Solution

A method and system for regional population management in smart cities using IoT, which involves obtaining historical population data, predicting future children population numbers, determining the construction plan for children's management institutions, and feeding back the plan to users through a service platform.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If population data prediction is not performed, then construction of children's management institutions can proceed without advanced planning, but construction omissions occur and supervision burden increases

Engineering Contradiction:

Improvereliability of construction planningVSAvoidlack of population data prediction

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary population data collection and prediction before construction planning. Historical population data is gathered through IoT sensors and platforms, predictive models estimate future population trends, and construction plans are formulated in advance based on these predictions, preventing construction omissions and reducing supervision burden.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If comprehensive population data collection is implemented, then prediction accuracy improves, but system complexity and data processing requirements increase

Engineering Contradiction:

Improveprediction accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex data collection and processing task into multiple independent platforms: IoT sensor network for data acquisition, object platform for device management, service platform for data processing, and user platform for result delivery. Each platform handles specific functions, reducing overall system complexity while maintaining comprehensive data collection capabilities.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediate processing layers including the object platform and service platform that mediate between raw sensor data and final predictions. These intermediaries standardize data formats, filter irrelevant information, and prepare data for analysis, simplifying the overall processing pipeline while improving prediction accuracy.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12242571B2Methods and systems for regional population management in smart cities based on the internet of things

Publication Date: 2025.03.04 CHENGDU QINCHUAN IOT TECH CO LTD

AI summary

The present disclosure provides a method for regional population management in smart cities based on an Internet of Things (IoT). The method includes obtaining population-related data in a historical target time period through an object platform based on a sensor network platform, predicting the a number of children population in a future target time period based on the population-related data, determining a construction plan of children's management institutions based on the number of children population, the construction plan including a number of the children's management institutions, and feeding back the construction plan to a user through a user platform based on a service platform.