CN114841630A - SaaS cloud platform data processing method and system based on TOMS system - Google Patents
SaaS cloud platform data processing method and system based on TOMS system Download PDFInfo
- Publication number
- CN114841630A CN114841630A CN202210780486.XA CN202210780486A CN114841630A CN 114841630 A CN114841630 A CN 114841630A CN 202210780486 A CN202210780486 A CN 202210780486A CN 114841630 A CN114841630 A CN 114841630A
- Authority
- CN
- China
- Prior art keywords
- information
- airport
- cloud platform
- data information
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Multimedia (AREA)
- Radar Systems Or Details Thereof (AREA)
- Traffic Control Systems (AREA)
Abstract
A SaaS cloud platform data processing method based on a TOMS system comprises the following steps: acquiring airport data information in real time, wherein the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the airport data information processed by the ELO information selection module is transmitted to a SaaS cloud platform through a communication system; and the SaaS cloud platform carries out real-time collaborative decision according to the airport data information and transmits a decision result to the TOMS system. According to the invention, the respective advantages of the SaaS cloud platform and the TOMS are integrated, so that the operation convenience is greatly enhanced, and the airport data information is selectively processed through the ELO algorithm, so that the effective data is enhanced, the transmission efficiency is enhanced, and the user experience is improved.
Description
Technical Field
The invention relates to the field of computer cloud computing, in particular to a SaaS cloud platform data processing method and system based on a TOMS system.
Background
With the rapid development of cloud computing technology, cloud computing related technology develops rapidly, software as a service (SaaS) is one of service modes presented to users by mobile clouds, can help users to access application programs directly through the Internet, has the characteristics of shareability, high performance, flexibility and the like, is beneficial to enterprises to obtain software updated by suppliers, and obtains higher guarantee on data security and performance. In recent years, the SaaS model is widely applied to industries such as medical treatment, finance, e-government affairs and education, and a service provider realizes simplified processing of data and integrated management and control of a work flow through a cloud platform. Therefore, establishing the SaaS mode is an important way to realize intelligent management and control on the cloud.
In the prior art, although a SaaS cloud platform exists, each separate software is still used in a TOMS tower operation management system, and aviation operation management is realized through collection of various data and collection of various data sources, so that the TOMS system is complicated, the misoperation degree is greatly increased, the data transmission rate is slow, screening of a large amount of invalid data cannot be realized, and the processing and communication requirements of a large amount of increased data of the existing flight are not matched; in the prior art, the SaaS cloud platform and the TOMS are not integrated to exert respective advantages, selective processing of acquired data does not exist, a large amount of computing resources are wasted on invalid data, and a single judgment mode is adopted for key positions such as runways. How to enable aviation management to be more intelligent and humanized, improve the operation efficiency and accuracy of the aviation management, and enhance the practicability of users becomes a new research topic, but the existing aviation management efficiency is lower; and the method and the system technology are mainly used for processing specific data individually, so that the SaaS cloud platform data processing method and the system technology based on the TOMS system are an urgent need for improving the mapping effect, and the user experience is improved.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a TOMS-based systemThe SaaS cloud platform data processing method and system based on the TOMS system remarkably reduce the complexity of aviation management, improve the data accuracy and transmission efficiency, greatly enhance the accuracy and enhance the user experience; a SaaS cloud platform data processing method based on a TOMS system comprises the following steps: acquiring airport data information in real time, wherein the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the airport data information processed by the ELO information selection module is transmitted to a SaaS cloud platform through a communication system; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information and transmits a decision making result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the management of the flight dynamic whole process from application release, ground sliding, runway takeoff to control transfer of the airport-range flight, and specifically comprises the following steps: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x r channel value, i, of ith frame picture representing scene video picture information y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x R channel value, j, of the jth frame of picture representing scene video picture information y G channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
Preferably, the length of each dimension of the airport data information points is the difference between the maximum value and the minimum value of each corresponding dimension in all airport data information points in the comparison airport data set, and the difference is the length of the dimension; the emergency value is an airport event self-emergency self-defined value.
Preferably, the sensor information includes an airport weather sensor, a runway sensor and a fuselage sensor, and is used for acquiring weather, runway and airplane state information in real time.
Preferably, the scene surveillance radar acquires information on the activity of the aircraft and vehicles on the runways, tarmac in real time.
Preferably, the SaaS cloud platform further processes the data before performing real-time collaborative decision making according to the airport data information, and selects airport data information point data of each dimension in the airport data information set according to the data change degree; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
Preferably, the transmission to the SaaS cloud platform through the communication system includes transmission through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating the transmission signal to an intermediate frequency and transmitting the intermediate frequency to the SaaS platform.
The invention also comprises a SaaS cloud platform data processing system based on the TOMS system, which comprises the TOMS systemThe information acquisition module is used for acquiring airport data information in real time, wherein the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the data selection processing module is used for transmitting the airport data information processed by the ELO information selection module to the SaaS cloud platform through the communication system; the SaaS cloud platform processing module is used for the SaaS cloud platform to carry out real-time collaborative decision according to airport data information and transmit a decision result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the management of the flight dynamic whole process from application release, ground sliding, runway takeoff to control transfer of the airport-range flight, and specifically comprises the following steps: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x r channel value, i, of ith frame picture representing scene video picture information y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x R channel value, j, of the jth frame of picture representing scene video picture information y G channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
Preferably, the length of each dimension of the airport data information points is the difference between the maximum value and the minimum value of each corresponding dimension in all airport data information points in the comparison airport data set, and the difference is the length of the dimension; the emergency value is an airport event self-emergency self-defined value.
Preferably, the sensor information includes an airport weather sensor, a runway sensor and a fuselage sensor, and is used for acquiring weather, runway and airplane state information in real time.
Preferably, the scene surveillance radar acquires information on the activity of the aircraft and vehicles on the runways, tarmac in real time.
Preferably, the SaaS cloud platform further processes the data before performing real-time collaborative decision making according to the airport data information, and selects airport data information point data of each dimension in the airport data information set according to the data change degree; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
Preferably, the transmission to the SaaS cloud platform through the communication system includes transmission through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating a transmission signal to an intermediate frequency, and transmitting the transmission signal to the SaaS platform.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the SaaS cloud platform data processing method and system based on the TOMS system solve the problems that in the prior art, a TOMS tower operation management system still adopts each separated software, aviation operation management is realized through the summarization of various data and the collection of various data sources, so that the TOMS system is complicated, the misoperation degree is greatly increased, the data transmission rate is low, the screening of a large amount of invalid data cannot be realized, and the processing and communication requirements of a large amount of increased data of the existing flight are not matched; according to the invention, the respective advantages of the SaaS cloud platform and the TOMS are integrated, so that the operation convenience is greatly enhanced, and the effective line of data is enhanced by selectively processing airport data information through an ELO algorithm; and performing real-time calculation on video image information, judging whether an airplane runs to a specific position or not, and performing multiple judgment modes such as runway judgment through information such as radar and the like, and further solving the problem of single judgment by adopting multiple judgment modes on key positions. The airport data information point data of each dimension in the airport data information set is selected according to the data change degree; according to the method, data segments larger than a set threshold value are selected to form a new airport data information set according to the difference change degree of each dimension of data, and the problem that a large amount of computing resources are on invalid data in the traditional computing is solved. The SaaS cloud platform data processing method and system based on the TOMS system remarkably improve the use convenience, greatly enhance the accuracy and enhance the user experience.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a diagram of a data processing system of a SaaS cloud platform based on a TOMS system according to the present invention.
Detailed Description
As will be appreciated by those skilled in the art, as background art shows, the conventional mapping has low accuracy, slow data transmission rate, and is unable to match with historical data, and does not match with the existing large demand for periodic and timely update of mapping data; the addition of information is revealed in the only related to unmanned aerial vehicle survey and drawing among the prior art, does not have the consideration to unmanned aerial vehicle survey and drawing distortion information, and the high integration matching that realizes unmanned aerial vehicle survey and drawing and reality demand is the key that realizes that unmanned aerial vehicle survey and drawing degree of accuracy and readability etc. improve by a wide margin. How to make surveying and mapping more intelligent and humanized, improve the operation efficiency and accuracy thereof, and enhance the readability of users becomes a new research subject. In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures are described in detail below.
Example 1:
fig. 1 shows a diagram of a data processing system of a SaaS cloud platform based on a TOMS system according to the present application, and in some embodiments, a data processing method of a SaaS cloud platform based on a TOMS system includes the steps of: acquiring airport data information in real time, wherein the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the airport data information processed by the ELO information selection module is transmitted to a SaaS cloud platform through a communication system; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information and transmits a decision making result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the management of the flight dynamic whole process from application release, ground sliding, runway takeoff to control transfer of the airport-range flight, and specifically comprises the following steps: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x r channel value, i, of ith frame picture representing scene video picture information y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x R channel value, j, of the jth frame of picture representing scene video picture information y G channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
In some embodiments, the length of each dimension of the airport data information points is a difference between a maximum value and a minimum value of each corresponding dimension of all airport data information points in the airport data set, that is, the length of the dimension; the emergency value is an airport event self-emergency custom value.
In some embodiments, the sensor information includes airport weather sensors, runway sensors, fuselage sensors for obtaining weather, runway, and airplane status information in real time.
In some embodiments, the scene surveillance radar acquires information on runway, airplane on apron, and vehicle activity in real time.
In some embodiments, the SaaS cloud platform further processes the data before performing the real-time collaborative decision according to the airport data information, and selects airport data information point data of each dimension in the airport data information set according to the data change degree; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
In some embodiments, the transmitting to the SaaS cloud platform through the communication system includes transmitting through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating the transmission signal to an intermediate frequency and transmitting the intermediate frequency to the SaaS platform.
Example 2:
the invention also comprises a SaaS cloud platform data processing system based on the TOMS system, which comprises a TOMS system information acquisition module, a data processing module and a data processing module, wherein the TOMS system information acquisition module is used for acquiring airport data information in real time, and the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the data selection processing module is used for transmitting the airport data information processed by the ELO information selection module to the SaaS cloud platform through a communication system; the SaaS cloud platform processing module is used for the SaaS cloud platform to carry out real-time collaborative decision according to airport data information and transmit a decision result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the management of the flight dynamic whole process from application release, ground sliding, runway takeoff to control transfer of the airport-range flight, and specifically comprises the following steps: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x to represent scene video image informationR channel value, i, of i frame image y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x R channel value, j, of the jth frame of picture representing scene video picture information y G channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
In some embodiments, the length of each dimension of the airport data information points is a difference between a maximum value and a minimum value of each corresponding dimension of all airport data information points in the airport data set, that is, the length of the dimension; the emergency value is an airport event self-emergency self-defined value.
In some embodiments, the sensor information includes airport weather sensors, runway sensors, fuselage sensors for obtaining weather, runway, and airplane status information in real time.
In some embodiments, the scene surveillance radar acquires information on runway, airplane on apron, and vehicle activity in real time.
In some embodiments, the SaaS cloud platform further processes the data before performing the real-time collaborative decision according to the airport data information, and selects airport data information point data of each dimension in the airport data information set according to the data change degree; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
In some embodiments, the transmitting to the SaaS cloud platform through the communication system includes transmitting through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating the transmission signal to an intermediate frequency and transmitting the intermediate frequency to the SaaS platform.
The SaaS cloud platform data processing method and system based on the TOMS system solve the problems that in the prior art, a TOMS tower operation management system still adopts each separated software, and aviation operation management is realized through the collection of various data and the collection of various data sources, so that the TOMS system is complicated, the misoperation degree is greatly increased, the data transmission rate is slow, the screening of a large amount of invalid data cannot be realized, and the processing of a large amount of increased data of the existing flight and the communication demand are not matched; according to the invention, the respective advantages of the SaaS cloud platform and the TOMS are integrated, so that the operation convenience is greatly enhanced, and the effective line of data is enhanced by selectively processing airport data information through an ELO algorithm; and performing real-time calculation on video image information, judging whether an airplane runs to a specific position or not, and performing multiple judgment modes such as runway judgment through information such as radar and the like, and further solving the problem of single judgment by adopting multiple judgment modes on key positions. The airport data information point data of each dimension in the airport data information set is selected according to the data change degree; according to the method, data segments larger than a set threshold value are selected to form a new airport data information set according to the difference change degree of each dimension of data, and the problem that a large amount of computing resources are on invalid data in the traditional computing is solved. The SaaS cloud platform data processing method and system based on the TOMS system remarkably improve the use convenience, greatly enhance the accuracy and enhance the user experience.
Those skilled in the art will appreciate that embodiments of the present application may be provided as a method, system, or computer program product and thus the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. A SaaS cloud platform data processing method based on a TOMS system is characterized by comprising the following steps: acquiring airport data information in real time, wherein the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the airport data information processed by the ELO information selection module is transmitted to a SaaS cloud platform through a communication system; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information and transmits a decision making result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the management of the flight dynamic whole process from application release, ground sliding, runway takeoff to control transfer of the airport-range flight, and specifically comprises the following steps: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x r channel value, i, of ith frame picture representing scene video picture information y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x An R channel value of a j-th frame picture representing scene video picture information,j y g channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
2. The SaaS cloud platform data processing method based on the TOMS system according to claim 1, wherein the length of each dimension of the airport data information points is the difference value between the maximum value and the minimum value of each corresponding dimension of all airport data information points in the comparison airport data set, and the difference value is the length of the dimension; the emergency value is an airport event self-emergency self-defined value.
3. The SaaS cloud platform data processing method based on the TOMS system as claimed in claim 1, wherein the sensor information includes airport weather sensors, runway sensors, and airframe sensors, and is used for acquiring weather, runway, and airplane status information in real time.
4. The SaaS cloud platform data processing method based on the TOMS system as claimed in claim 1, wherein the scene surveillance radar acquires information of activities of planes and vehicles on runways and parking ramps in real time.
5. The SaaS cloud platform data processing method based on the TOMS system as claimed in claim 1, wherein the SaaS cloud platform further processes data before performing real-time collaborative decision making according to airport data information, and selects airport data information point data of each dimension in an airport data information set according to data change degree; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
6. The SaaS cloud platform data processing method based on the TOMS system as claimed in claim 1, wherein the transmission to the SaaS cloud platform through the communication system includes transmission through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating a transmission signal to an intermediate frequency, and transmitting the transmission signal to the SaaS platform.
7. A SaaS cloud platform data processing system based on a TOMS system is characterized by comprising a TOMS system information acquisition module, a data processing module and a data processing module, wherein the TOMS system information acquisition module is used for acquiring airport data information in real time, and the airport data information comprises flight information, scene monitoring radar information, scene video image information and sensor information; the data selection processing module is used for transmitting the airport data information processed by the ELO information selection module to the SaaS cloud platform through the communication system; the SaaS cloud platform processing module is used for the SaaS cloud platform to carry out real-time collaborative decision according to airport data information and transmit a decision result to the TOMS system; the airport data information is represented as an airport data information set
Comprises n airport data information points, wherein each airport data information point x i Of dimension p, i.e.
(ii) a The ELO information selection module is used for sorting and selecting the airport data information processed by the ELO algorithm according to the length or the urgency value of each dimension of the airport data information points; the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and the decision making result comprises the whole flight dynamic process from application release, ground sliding, runway takeoff to control transfer of airport-range flightsThe management of (1) specifically includes: the video image information is calculated in real time, whether an airplane runs to a specific position or not is judged, and the judgment process is as follows:
，i x r channel value, i, of ith frame picture representing scene video picture information y G channel value, i, of ith frame image representing scene video image information z B channel value, j, of picture of i-th frame representing scene video picture information x R channel value, j, of the jth frame of picture representing scene video picture information y G channel value, j, of jth frame image representing scene video image information z B channel value of j frame image representing scene video image information; the ith frame and the jth frame are two adjacent frames in front and back; when calculating the result value
If the value is larger than the set threshold value, judging that an airplane exists;
the SaaS cloud platform carries out real-time collaborative decision making according to airport data information, and comprises the following steps: and inputting the airport data information set into the trained deep residual error neural network to obtain a decision result.
8. The SaaS cloud platform data processing system based on TOMS system of claim 7, further comprising a calculating module, wherein the length of each dimension of the airport data information points is the difference value of the maximum value and the minimum value of each corresponding dimension in all airport data information points in the comparison airport data set, which is the length of the dimension; the emergency value is an airport event self-emergency self-defined value.
9. The SaaS cloud platform data processing system based on the TOMS system as claimed in claim 7, wherein the sensor information includes airport weather sensor, runway sensor, and fuselage sensor, which are used to obtain weather, runway, and airplane status information in real time.
10. The SaaS cloud platform data processing system based on TOMS system of claim 7, wherein scene surveillance radar acquires information of activities of planes and vehicles on runways and parking ramps in real time.
11. The SaaS cloud platform data processing system based on the TOMS system as claimed in claim 7, further comprising a data screening module, for further processing data before the SaaS cloud platform performs real-time collaborative decision-making according to airport data information, and selecting airport data information point data of each dimension in an airport data information set according to data variation; namely, according to the difference change degree of each dimension of data, selecting the data segments larger than the set threshold value to form a new airport data information set.
12. The SaaS cloud platform data processing system based on TOMS system of claim 7, further comprising a communication module: the information is transmitted to the SaaS cloud platform through the communication system, the transmission is carried out through a communication cable or wireless communication, and the specific scene video image information and the sensor information are transmitted in real time through the communication cable; and for the scene monitoring radar information, modulating the transmission signal to an intermediate frequency and transmitting the intermediate frequency to the SaaS platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210780486.XA CN114841630B (en) | 2022-07-05 | 2022-07-05 | SaaS cloud platform data processing method and system based on TOMS system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210780486.XA CN114841630B (en) | 2022-07-05 | 2022-07-05 | SaaS cloud platform data processing method and system based on TOMS system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114841630A true CN114841630A (en) | 2022-08-02 |
| CN114841630B CN114841630B (en) | 2022-09-27 |
Family
ID=82574815
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210780486.XA Active CN114841630B (en) | 2022-07-05 | 2022-07-05 | SaaS cloud platform data processing method and system based on TOMS system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114841630B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204303019U (en) * | 2014-12-23 | 2015-04-29 | 广州市中南民航空管通信网络科技有限公司 | Control tower operation management system |
| CN104751683A (en) * | 2015-03-27 | 2015-07-01 | 中国民用航空飞行学院 | Airport plane taxi scheduling and commanding system and method |
| CN105575021A (en) * | 2016-03-01 | 2016-05-11 | 杨兴文 | Airport runway safety early warning system and airport runway safety early warning method |
| US20200285996A1 (en) * | 2019-03-05 | 2020-09-10 | Honeywell International Inc. | Systems and methods for cognitive services of a connected fms or avionics saas platform |
-
2022
- 2022-07-05 CN CN202210780486.XA patent/CN114841630B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204303019U (en) * | 2014-12-23 | 2015-04-29 | 广州市中南民航空管通信网络科技有限公司 | Control tower operation management system |
| CN104751683A (en) * | 2015-03-27 | 2015-07-01 | 中国民用航空飞行学院 | Airport plane taxi scheduling and commanding system and method |
| CN105575021A (en) * | 2016-03-01 | 2016-05-11 | 杨兴文 | Airport runway safety early warning system and airport runway safety early warning method |
| US20200285996A1 (en) * | 2019-03-05 | 2020-09-10 | Honeywell International Inc. | Systems and methods for cognitive services of a connected fms or avionics saas platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114841630B (en) | 2022-09-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2023029461A1 (en) | Massive high-dimensional ais trajectory data clustering method | |
| US20180090012A1 (en) | Methods and systems for unmanned aircraft systems (uas) traffic management | |
| CN110287945A (en) | Unmanned plane target detection method under a kind of 5G environment | |
| CN111915930B (en) | Airborne empty pipe enhancement co-processing system and method | |
| US20230306081A1 (en) | Method for training a point cloud processing model, method for performing instance segmentation on point cloud, and electronic device | |
| CN112817755A (en) | Edge cloud cooperative deep learning target detection method based on target tracking acceleration | |
| CN114092920B (en) | Model training method, image classification method, device and storage medium | |
| US11935416B1 (en) | Fleet and asset management and interfaces thereof associated with edge computing deployments | |
| US11876858B1 (en) | Cloud-based fleet and asset management for edge computing of machine learning and artificial intelligence workloads | |
| CN113140134A (en) | System architecture of intelligent air traffic control system | |
| CN112862171A (en) | Flight arrival time prediction method based on space-time neural network | |
| CN113642403A (en) | Crowd abnormal intelligent safety detection system based on edge calculation | |
| Xu et al. | Development of power transmission line detection technology based on unmanned aerial vehicle image vision | |
| US20220129667A1 (en) | Human Gesture Recognition for Autonomous Aircraft Operation | |
| CN114841630B (en) | SaaS cloud platform data processing method and system based on TOMS system | |
| CN114582011A (en) | Pedestrian tracking method based on federal learning and edge calculation | |
| ZHAO et al. | Federated Learning for Federated Learning for 6G: A Survey From Perspective of Integrated Sensing, Communication and Computation Communication and Computation | |
| US12033006B1 (en) | Edge deployment of cloud-originated machine learning and artificial intelligence workloads | |
| Tao et al. | Known Knowns and Unknowns: Near-realtime Earth Observation Via Query Bifurcation in Serval | |
| CN117132002A (en) | Multi-mode space-time track prediction method, device, equipment and medium | |
| Sun et al. | Semantic-driven computation offloading and resource allocation for uav-assisted monitoring system in vehicular networks | |
| Inoue et al. | Semantic Segmentation of River Video for Efficient River Surveillance System | |
| Sudarsanan et al. | Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics | |
| RU168333U1 (en) | SYNTHESIS VISION DEVICE | |
| Wei et al. | Guest editorial: Advanced collaborative technologies for artificial intelligence of things |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |