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Urban large-scale data collection method and system based on crowd sensing

A technology of large-scale data and group perception, applied in specific environment-based services, data processing applications, instruments, etc., can solve problems such as different costs of perception activities, and achieve the effect of low perception cost, strong practicability, and low perception error.

Inactive Publication Date: 2021-08-27
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In conclusion, different conditions may result in substantially different costs for perceived activities

Method used

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  • Urban large-scale data collection method and system based on crowd sensing
  • Urban large-scale data collection method and system based on crowd sensing
  • Urban large-scale data collection method and system based on crowd sensing

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Embodiment 1

[0050] The urban large-scale data collection method and system based on group sensing of the present invention will be described in detail below by taking the urban air quality perception task as an example. It should be noted that this embodiment only takes the urban air quality perception task as an example for illustration. Undoubtedly, the method and system for urban large-scale data collection based on group sensing in the present invention can also be applied to large-scale data collection in other cities The scene, such as noise, traffic conditions, flow of people, etc., will not be repeated here.

[0051] Such as figure 1 and figure 2 As shown, the large-scale urban data collection method based on group perception in this embodiment includes:

[0052] 1) Decompose the perception task into n perception cycles and m grids;

[0053] 2) Estimate the amount of information and perception cost of the unperceived grid;

[0054] 3) Select the appropriate target grid among ...

Embodiment 2

[0109] This embodiment is basically the same as Embodiment 1, and the main difference is that the step of inferring the sensing data in the unsensed grid based on the sensing data in step 5) of this embodiment includes:

[0110] 5.1B) Using the compressive sensing algorithm, the problem of inferring the sensing data in the unsensing grid based on the sensing data proposes a non-convex optimization problem as shown in the following formula:

[0111]

[0112] In the above formula, is the estimated matrix The rank of the estimated matrix is the matrix formed for the sensed data in the unsensed grid, Represents element point multiplication, S is the selection matrix, the element of the selection matrix S is 0 or 1, and the matrix element S in the selection matrix S ij Indicates whether to select the grid i to be sensed during the sensing cycle j, M is the actual measurement matrix, and the actual measurement matrix M records the sensing data in the grid that has been sen...

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Abstract

The invention discloses an urban large-scale data collection method and system based on crowd sensing. The method comprises the following steps: decomposing a sensing task; estimating the information amount and the sensing cost of unsensed grids, selecting a target grid according to the information amount and the sensing cost, allocating the task to a user, and receiving sensing data uploaded by the user; evaluating the task completion quality of the sensing task executed by the user, if the task completion quality meets a preset quality requirement, inferring sensing data in the unsensed grids based on the sensing data, and forming a complete sensing data matrix; otherwise, continuing to select the target grid and execute the sensing task, and repeating the steps of one sensing period until all sensing periods are completed. According to the method, on the basis that part of grid sensing data is completed and the task completion quality meets the preset quality requirement, the sensing data in the unsensed grids are deduced based on the sensing data, and the method has the advantages of being high in practicability, wide in application prospect, low in sensing cost, low in sensing error and the like.

Description

technical field [0001] The present invention is applicable to the scene of urban large-scale data collection (such as collecting noise, traffic conditions, traffic flow, parking space information and other tasks) to collect and process large-scale urban data, and specifically relates to an urban large-scale data collection system based on group perception. Scale data collection method and system. Background technique [0002] The rapid development of the Internet of Things and mobile computing technology has promoted the emergence of mobile group sensing, a new type of urban perception mechanism, which enables citizens to effectively collect and share real-time information, such as air quality, noise, traffic conditions and infrastructure status, and promotes innovation urban computing solutions to address city-level challenges. Since sensing matrices usually have low-rank features, compressed sensing techniques can be used to collect data from only a few subregions, and th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04W4/35G06Q50/26
CPCH04W4/38H04W4/35G06Q50/26
Inventor 陈彬朱正秋赵勇黄金才程光权卢惠民季雅泰陈海亮吕欣杨妹
Owner NAT UNIV OF DEFENSE TECH