PATENT CLAIM ANALYSIS

Application Number: 16313134
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["705", "007250"]

Abstract:
A method for predicting fishing access of Katsuwonuspelamis purse seine fishery in the Central and Western Pacific adopts the statistical data per year before the forecast year to the previous 16 years, including year, month, longitude, latitude, fishing effort (the number of nets) and the catch (ton) in an important operation waters of 5°S-5°N, 125°E-180°E, a sea surface temperature anomaly (SSTA) in the Nino3.4 area and the sea surface temperature (SST) in the operation waters. A sea area is denoted by 5°×5° spatial resolution, the production statistical data of the sea areas are matched with the corresponding environmental data one by one to obtain the relationship between different SSTA and SST ranges of each sea area and the corresponding initial value fishing effort, a fishing access prediction model of each sea area is established by using a normal distribution model.

Claim (Index 1):
A method for predicting fishing access of Katsuwonuspelamis purse seine fishery in the Central and Western Pacific, wherein production statistical data and corresponding environmental data within a plurality of years of sea areas are utilized, and the method comprises the following steps:\n step 1, performing an initial value processing of the fishing effort of operation waters; calculating a percentage N i , j = X i , j X j \u2003occupied by different sea surface temperature anomaly (SSTA) ranges of Nino3.4 area corresponding to each sea area by using a spacing 0.5\u00b0 C. of the SSTA of the Nino3.4 area and sea surface temperature (SST) of the operation waters, and then dividing the percentage by a maximum ratio in the sea area to obtain N i , j _ = N i , j max \ue89e \ue89e N i , j , \u2003wherein X j  represents the total amount of fishing effort in the j sea area, X i,j  represents the fishing effort within the i temperature range in the j sea area, N i,j  represents the percentage of the fishing effort within the i temperature range in the j sea area; maxN i,j  represents the maximum value of the percentage of the fishing effort within the i temperature range in the j sea area; and  N i,j  represents a ratio of the percentage of the fishing effort within the i temperature range in the j sea area to the maximum value of the percentage; step 2, performing one by one matching processing on the production statistical data of each sea area of the operation waters and the corresponding environmental data, and respectively performing statistics on a relationship between different SSTA and SST ranges of each sea area and the corresponding initial value fishing effort; and step 3, establishing a fishing access prediction model of each sea area based on the fishing access prediction model of the SSTA of NINO3.4 area and the fishing access prediction model of the SST of the operation waters, wherein the fishing access prediction model is expressed by a percentage of the fishing effort.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.89286
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11887656', '10589351', '12404967', '12391972', '11740250']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0922070241540761
- 35 USC 102 Novelty (BERT): 0.4840151336690192
- Combined Prediction Score: 0.1313878351055704
- Mean Citation Score: 135.96944299999998
- Max Citation Score: 149.02068
- Similarity Product: 102.14303006985426

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test