# US 12,603,012 B2 · Method and system for determining aircraft landing runway conditions > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,603,012 B2 - Document ID: US12603012B2 - Status: Granted - Kind: B2 - Application number: 18/265,103 - Filed: 2021-12-01 - Published: 2024-03-28 - Granted: 2026-04-14 - Earliest claimed: 2020-12-11 - Assignees: Safran Aircraft Engines; Safran Electronics & Defense; Saffan Landing Systems; Safran Nacelles - Applicants: Safran Aircraft Engines; Safran Electronics & Defense; Safran Landing Systems; Safran Nacelles - Inventors: Hakim Maalioune; Laurent Miralles; Christophe Bastide; Jérémy Edmond Fert; Vincent Hupin - Web page: https://patentgrep.com/patent/US12603012B2 ## CPC - G08G 5/54: for approach or landing - G08G 5/727: {from a ground station} - B64F 1/36: Other airport installations (ground installations for de-icing aircraft B64F5/20) - G08G 5/22: located on the ground - G08G 5/26: Transmission of traffic-related information between aircraft and ground stations - G08G 5/76: for monitoring atmospheric conditions - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - B64F: GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT; DESIGNING, MANUFACTURING, ASSEMBLING, CLEANING, MAINTAINING OR REPAIRING AIRCRAFT, NOT OTHERWISE PROVIDED FOR; HANDLING, TRANSPORTING, TESTING OR INSPECTING AIRCRAFT COMPONENTS, NOT OTHERWISE PROVIDED FOR ## Abstract Said method for determining aircraft landing runway conditions comprises the steps of: acquiring a set of data groups of different types (D1, D2) for evaluating and monitoring runway degradation conditions; deriving weighting coefficients (Ki) from each data group; filtering the data; determining, for each data group, a partial runway condition; modifying the weighting coefficients of each data group; and combining the partial runway conditions to derive a runway condition coefficient (RWYCC) associated with a confidence index (C1) derived from the modified weighting coefficients. ## Claims ### Claim 1 An airport manager system for determining aircraft landing runway conditions, the airport manager system comprising at least one processor, wherein the at least one processor is adapted to: acquire a set of data groups of different types for evaluating and monitoring deteriorating runway conditions of a runway, wherein a first data group of the set of data groups is acquired from a first source and a second data group of the set of data groups is acquired from a second source different from the first source; determine weighting coefficients to each data group; filtering the data of the set of data groups; determine, for each data group, a partial runway condition for a sector of the runway based on the filtered data; modify the weighting coefficients of each data group after filtering the data; and generate (i) a runway coefficient for the sector of the runway by combining the partial runway conditions and (ii) a confidence index associated with the runway coefficient, wherein the confidence index is derived from the modified weighting coefficients. ### Claim 2 (depends on 1) The method according to claim 1, wherein filtering the data comprises grouping the data by braking zone segments, each braking zone segment comprising with braking zone segment identification information, dating information of said data, segment position information, and a modified weighting coefficient. ### Claim 3 (depends on 1) The method according to claim 1, wherein the first data group (D1) relates to braking parameters of the aircraft and the second data (D2) is derived from the ground relating to taxiing conditions of the aircraft. ### Claim 4 (depends on 3) The method according to claim 3, wherein acquiring the first data group (D1) comprises acquiring the first data group from the first source as long as the aircraft is taxiing on the runway and at a speed below a threshold value. ### Claim 5 (depends on 3) The method according to claim 3, wherein, at an end of the filtering step, the method comprises determining a time-stamped coefficient of friction (μ) of the runway and a modified weighting coefficient. ### Claim 6 (depends on 5) The method according to claim 5, wherein the filtering of the data for each data group produces first filtered data from the first data group and second filtered data from the second data group, and wherein, during the step of determining the coefficient of friction (μ), the coefficient of friction is calculated from the first filtered data and the second filtered data. ### Claim 7 (depends on 3) The method according to claim 3, further comprising a step of decoding the data of the first and second data groups. ### Claim 8 (depends on 3) The method according to claim 3, wherein the second data group comprises aircraft position data, data on the conditions of the runway, and meteorological data. ### Claim 9 (depends on 1) The method according to claim 1, wherein modifying the weighting coefficients comprises modifying the weighting coefficients as a function of time or a sampling frequency of the data. ### Claim 10 (depends on 1) The method according to claim 1, comprising a step of initialising weighting coefficients for each data group before modifying the weighting coefficients. ### Claim 11 (depends on 1) The method according to claim 1, wherein the set of data groups further comprises a third data group. ### Claim 12 (depends on 1) The method according to claim 1, wherein the runway coefficient (RWYCC) is derived for different sectors of the runway, and wherein the method comprises compiling a history of runway coefficients is compiled. ### Claim 13 (depends on 1) The method of claim 1, further comprising communicating the runway coefficient and confidence index to an air traffic controller. ### Claim 14 (depends on 1) The method of claim 1, wherein the first source is the aircraft and the second source is a ground source. ### Claim 15 An airport manager system for determining aircraft landing runway conditions, the airport manager system comprising at least one processor, wherein the at least one processor is adapted to: acquire a set of data groups of different types for evaluating and monitoring deteriorating runway conditions of a runway; determine weighting coefficients to each data group; determine, for each data group, a partial runway condition, and modify the weighting coefficients of each data group; and generate (i) a runway coefficient by combining the partial runway conditions and (ii) a confidence index associated with the runway coefficient, wherein the confidence index is derived from the modified weighting coefficients. ### Claim 16 (depends on 15) The airport manager system according to claim 15, wherein the processor is configured to determine a runway coefficient (RWYCC) for each third of the runway, and wherein a history of runway coefficients is compiled.