Engineering investigation quality fine evaluation method based on PageRank algorithm
A technology of engineering survey and evaluation method, which is applied in the direction of calculation, complex mathematical operations, instruments, etc., can solve difficult and subjective problems, and achieve the effect of saving man-hours
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Benefits of technology
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0037] Embodiment 1: a kind of engineering survey quality refinement evaluation method based on PageRank algorithm comprises the following steps: specific reference figure 1 ,
[0038] Step S001, list the various influencing factors affecting the drilling quality, and determine the mutual influence relationship between each influencing factor;
[0039] In step S001, in step S001, the influencing factors affecting the drilling quality include: final hole depth, final hole diameter, coring rate, drilling verticality, timeliness of recording, layering accuracy, description accuracy, Sampling, standard penetration, dynamic detection, static detection.
[0040] The mutual influence relationship between various influencing factors can be determined by making the mutual influence relationship model of each influencing factor.
[0041] Specific reference figure 2 , figure 2 It is a model diagram of each influencing factor affecting the drilling quality in the present invention, and
Embodiment 2
[0078] Embodiment 2, the present embodiment is basically consistent with embodiment 1, and its difference is: in the present embodiment, selected the specific data of each influencing factor of the second borehole, through the actual measurement of each influencing factor of the second borehole Data, determine the degree of membership corresponding to the measured value of each influencing factor as shown in Table 5:
[0079]
[0080]
[0081] Table 5 is the index membership evaluation table of the borehole measured value in embodiment 2. Establish the borehole quality evaluation membership matrix R according to the data in Table 5, specifically,
[0082]
[0083] Utilize the above-mentioned drilling quality evaluation membership matrix R and weight vector A to establish the evaluation matrix B=A×R, the result calculated according to the evaluation matrix B and the quality evaluation set V={υ 1 , υ ,2 , υ 3}={excellent, qualified, unqualified}, adopt the principle of m
Embodiment 3
[0087] Embodiment 3, the present embodiment is basically consistent with Embodiment 1, and its difference is: in the present embodiment, selected the specific data of each influencing factor of the 3rd borehole, through the actual measurement of each influencing factor of the 3rd borehole Data, determine the degree of membership corresponding to the measured value of each influencing factor as shown in Table 6:
[0088]
[0089] Table 6 is the index membership evaluation table of the borehole measured value in embodiment 3. According to the data in Table 6, the drilling quality evaluation membership matrix R is established, specifically,
[0090]
[0091] Utilize the above-mentioned drilling quality evaluation membership matrix R and weight vector A to establish the evaluation matrix B=A×R, the result calculated according to the evaluation matrix B and the quality evaluation set V={υ 1 , υ ,2 , υ 3}={excellent, qualified, unqualified}, adopt the principle of maximum degre
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap