Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (3): 473-480.doi: 10.11947/j.AGCS.2025.20230443

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Inspection capacity index (ICI)—a sampling scheme measure of quality inspection of surveying and mapping products

Yanhui CAI1(), Pengfei CHENG2, Li ZHANG1   

  1. 1.National Quality Inspection and Testing Center of Surveying and Mapping, Beijing 100830, China
    2.Geo-Information Administrative Department of Ministry of Nature Resources, Beijing 100812, China
  • Received:2023-09-29 Online:2025-04-11 Published:2025-04-11
  • About author:CAI Yanhui (1973—), male, PhD, researcher, majors in precise positioning of GNSS, theory and technology of quality inspection of surveying and mapping products, evaluation of geo-information data security. E-mail: caiyh@casm.ac.cn
  • Supported by:
    The National Key Research and Development Program of China(2023YFF0611902);Special Geo-information Security Program of Ministry of Nature Resources(00002121002)

Abstract:

Based on the theory of the acceptance probability of cumulative hyper-geometric distribution, the paper analyzes the essence of the consistency problem of sampling plan series and proposes the concept of inspection capacity (IC) for sampling inspection by defining inspection capacity index (ICI) function with acceptance probability and logarithm of lot size, which provides a method to evaluate quantity indicators of sampling plan. Based on the actual application of quality inspection of surveying and mapping products and operating characteristic (OC) curves method, an approach, called inspection characteristic (ICC) curve, was developed to analyze the differences between two sampling plans. The numerical results of 7 typical sampling plans show that the ICI value can better reflect overall characteristics of sampling plan. The ICC analyzing results indicate the consistency prior AQL interval of the 7 typical sampling plans should be 0.3%~1.0%, and the optimal AQL value is 0.6%. It is not only significant for the theoretical analysis of the prior quality level that the surveying and mapping products needed, but also for the management of smart surveying and the multi-sourced geo-information data's quality and reliability analyzing.

Key words: sampling inspection, accept probability, inspection capacity index, surveying and mapping products

CLC Number: