CN114281593A - Monitoring system design method for improving security of enhanced vision system - Google Patents
Monitoring system design method for improving security of enhanced vision system Download PDFInfo
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- CN114281593A CN114281593A CN202111364869.0A CN202111364869A CN114281593A CN 114281593 A CN114281593 A CN 114281593A CN 202111364869 A CN202111364869 A CN 202111364869A CN 114281593 A CN114281593 A CN 114281593A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 101
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Abstract
The invention discloses a monitoring system design method for improving the security of an enhanced vision system, which comprises the steps of firstly establishing an EVS functional architecture according to the requirements of an EVS system, defining the functional decomposition of the EVS and interface data among all functions, and describing the EVS system; then according to the EVS architecture design, obtaining the external cross-linking relation of the monitoring system; according to the external cross-linking relation of the monitoring system, developing according to the function decomposition of the EVS system architecture and the requirement of the monitoring system to obtain the architecture of the monitoring system; and finally, designing a monitoring system, including configuration discrete quantity monitoring, image processing module secondary power state monitoring, correction coefficient period monitoring, real-time video and state monitoring and alarm indication. The method can meet the requirement of civil aircraft on the safety of the enhanced flight vision system.
Description
Technical Field
The invention belongs to the technical field of aviation, and particularly relates to a monitoring system design method.
Background
An enhanced vision system (EVS for short) is an onboard electronic system that uses image sensor technology to provide enhanced situational awareness and the ability to view terrain, runway lights and obstacles under low visibility conditions to significantly improve situational awareness and flight quality for pilots. According to enhanced flight view system airworthiness and operational approval guidelines, the EVS may provide the driver with an image of runway features (e.g., runway lighting) as well as surrounding terrain and obstacle features, and the C919 aircraft warrants functional development of the EVS at class C.
The safety of the EVS is always important, but for a long time, there is no design system method for monitoring the safety of the EVS.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a monitoring system design method for improving the safety of an enhanced vision system, which comprises the steps of firstly establishing an EVS functional architecture according to the requirements of an EVS system, defining the functional decomposition of the EVS and interface data among the functions, and describing the EVS system; then according to the EVS architecture design, obtaining the external cross-linking relation of the monitoring system; according to the external cross-linking relation of the monitoring system, developing according to the function decomposition of the EVS system architecture and the requirement of the monitoring system to obtain the architecture of the monitoring system; and finally, designing a monitoring system, including configuration discrete quantity monitoring, image processing module secondary power state monitoring, correction coefficient period monitoring, real-time video and state monitoring and alarm indication. The method can meet the requirement of civil aircraft on the safety of the enhanced flight vision system.
The technical scheme adopted by the invention for solving the technical problems is as follows:
step 1: establishing an EVS functional architecture according to the requirements of the EVS system, defining the functional decomposition of the EVS and interface data among the functions, and describing the EVS system;
obtaining a data transmission path of video stream and state stream according to interface data among the functions of the EVS;
defining a physical framework and an interface of the EVS, and distributing each function to a corresponding physical module according to the internal physical module division of the EVS of the physical framework;
step 2: obtaining the external cross-linking relation of the monitoring system according to the architecture design of the EVS;
a power supply module of the EVS provides energy support for the monitoring system;
the system electrical module of the EVS transmits the acquired temperature signal to the monitoring system;
the EVS image processing module transmits discrete quantity and video signals to the monitoring system through the RS422 interface;
the EVS maintenance interface module communicates with the monitoring system through JTAG and RS232 interfaces;
the lightning protection module of the EVS transmits discrete quantity data with the monitoring system through ARINC 429;
according to the external cross-linking relation of the monitoring system, developing according to the function decomposition of the EVS system architecture and the requirement of the monitoring system to obtain the architecture of the monitoring system;
and step 3: designing a monitoring system;
step 3-1: configuring discrete quantity monitoring:
the monitoring system comprises a discrete magnitude interface circuit, when the monitoring system is started, the configuration discrete magnitude is read and checked, parity check is carried out on the configuration discrete magnitude, and configuration discrete magnitude acquisition data are reported;
step 3-2: monitoring the state of a secondary power supply of the image processing module:
a secondary conversion power supply of the image processing module provides PG signals, a discrete magnitude interface circuit of the monitoring system periodically reads the PG signals, a filtering algorithm is adopted to obtain the signals, and if the signals are abnormal, the image processing module is restarted to prevent image errors and misleading of crew members;
step 3-3: and (3) periodically monitoring a correction coefficient:
the image data needs to be corrected in real time, two correction coefficients are stored in Flash, an image processing module reads the correction coefficients into a memory after being electrified, the correction coefficients are updated into a dual-port RAM after being subjected to CRC (cyclic redundancy check) after being corrected in a single point, a monitoring system carries out periodic monitoring on the coefficients of the dual-port RAM by adopting a read-only mode, and if the correction coefficients are inconsistent, a fault is reported according to the calculation of a CRC check rule;
step 3-4: real-time video and state monitoring:
the monitoring system comprises a monitoring chip, receives the real-time video data of the image processing module, and monitors the video data in real time, and comprises:
(1) detecting and judging the gray information of the picture;
(2) detecting variance to judge a frozen picture;
(3) detecting and judging a rolling dislocation picture by the row and column identification;
step 3-5: and (4) alarm indication:
and according to the state monitoring and video monitoring results, the detection results are reported to an onboard maintenance system OMS or a health management system through an ARINC429 bus, and warnings or instructions are provided for the crew.
Preferably, the reporting of the configuration discrete quantity acquisition data in the step 3-1 is performed through ARINC 429.
The invention has the following beneficial effects:
the invention provides a monitoring system design method for improving the safety of a view system, which can meet the requirement of civil aircraft on the safety of the enhanced flight view system.
Drawings
FIG. 1 is a schematic block diagram of an enhanced vision system of the present invention.
Fig. 2 is a signal flow of the enhanced vision system of the present invention.
FIG. 3 is a cross-linking diagram of the monitoring system of the present invention.
Fig. 4 is a diagram of the monitoring system architecture of the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
A design method of a monitoring system for improving the security of a vision enhancement system comprises the following technical scheme:
step 1: as shown in fig. 1, according to the requirements of the EVS system, a functional architecture of the EVS is established, functional decomposition of the EVS and interface data between functions are defined, and the EVS system description is performed;
as shown in fig. 2, the data transmission paths of the video stream and the status stream are obtained according to the interface data between the functions of the EVS;
defining a physical framework and an interface of the EVS, and distributing each function to a corresponding physical module according to the internal physical module division of the EVS of the physical framework;
step 2: as shown in fig. 3, according to the architecture design of the EVS, the external cross-linking relationship of the monitoring system is obtained;
a power supply module of the EVS provides energy support for the monitoring system;
the system electrical module of the EVS transmits the acquired temperature signal to the monitoring system;
the EVS image processing module transmits discrete quantity and video signals to the monitoring system through the RS422 interface;
the EVS maintenance interface module communicates with the monitoring system through JTAG and RS232 interfaces;
the lightning protection module of the EVS transmits discrete quantity data with the monitoring system through ARINC 429;
as shown in fig. 4, according to the external cross-linking relationship of the monitoring system, the architecture of the monitoring system is obtained according to the functional decomposition of the EVS system architecture and the requirement development of the monitoring system;
and step 3: designing a monitoring system;
step 3-1: configuration discrete quantity monitoring (condition monitoring):
the monitoring system comprises a discrete magnitude interface circuit, when the monitoring system is started, the configuration discrete magnitude is read and verified, parity check is carried out on the configuration discrete magnitude, and configuration discrete magnitude acquisition data are reported through ARINC 429;
step 3-2: monitoring the state of a secondary power supply of the image processing module:
a secondary conversion power supply of the image processing module provides PG signals, a discrete magnitude interface circuit of the monitoring system periodically reads the PG signals, a filtering algorithm is adopted to obtain the signals, and if the signals are abnormal, the image processing module is restarted to prevent image errors and misleading of crew members;
step 3-3: periodic monitoring (video monitoring) of correction coefficients:
the image data needs to be corrected in real time, two correction coefficients are stored in Flash, an image processing module reads the correction coefficients into a memory after being electrified, the correction coefficients are updated into a dual-port RAM after being subjected to CRC (cyclic redundancy check) after being corrected in a single point, a monitoring system carries out periodic monitoring on the coefficients of the dual-port RAM by adopting a read-only mode, and if the correction coefficients are inconsistent, a fault is reported according to the calculation of a CRC check rule;
step 3-4: real-time video and status monitoring (video monitoring):
the monitoring system comprises a monitoring chip, receives the real-time video data of the image processing module, and monitors the video data in real time, and comprises:
(1) detecting and judging the gray information of the picture;
(2) detecting variance to judge a frozen picture;
(3) detecting and judging a rolling dislocation picture by the row and column identification;
step 3-5: and (4) alarm indication:
and according to the state monitoring and video monitoring results, the detection results are reported to an onboard maintenance system OMS or a health management system through an ARINC429 bus, and warnings or instructions are provided for the crew.
Claims (2)
1. A monitoring system design method for improving the security of an enhanced vision system is characterized by comprising the following steps:
step 1: establishing an EVS functional architecture according to the requirements of the EVS system, defining the functional decomposition of the EVS and interface data among the functions, and describing the EVS system;
obtaining a data transmission path of video stream and state stream according to interface data among the functions of the EVS;
defining a physical framework and an interface of the EVS, and distributing each function to a corresponding physical module according to the internal physical module division of the EVS of the physical framework;
step 2: obtaining the external cross-linking relation of the monitoring system according to the architecture design of the EVS;
a power supply module of the EVS provides energy support for the monitoring system;
the system electrical module of the EVS transmits the acquired temperature signal to the monitoring system;
the EVS image processing module transmits discrete quantity and video signals to the monitoring system through the RS422 interface;
the EVS maintenance interface module communicates with the monitoring system through JTAG and RS232 interfaces;
the lightning protection module of the EVS transmits discrete quantity data with the monitoring system through ARINC 429;
according to the external cross-linking relation of the monitoring system, developing according to the function decomposition of the EVS system architecture and the requirement of the monitoring system to obtain the architecture of the monitoring system;
and step 3: designing a monitoring system;
step 3-1: configuring discrete quantity monitoring:
the monitoring system comprises a discrete magnitude interface circuit, when the monitoring system is started, the configuration discrete magnitude is read and checked, parity check is carried out on the configuration discrete magnitude, and configuration discrete magnitude acquisition data are reported;
step 3-2: monitoring the state of a secondary power supply of the image processing module:
a secondary conversion power supply of the image processing module provides PG signals, a discrete magnitude interface circuit of the monitoring system periodically reads the PG signals, a filtering algorithm is adopted to obtain the signals, and if the signals are abnormal, the image processing module is restarted to prevent image errors and misleading of crew members;
step 3-3: and (3) periodically monitoring a correction coefficient:
the image data needs to be corrected in real time, two correction coefficients are stored in Flash, an image processing module reads the correction coefficients into a memory after being electrified, the correction coefficients are updated into a dual-port RAM after being subjected to CRC (cyclic redundancy check) after being corrected in a single point, a monitoring system carries out periodic monitoring on the coefficients of the dual-port RAM by adopting a read-only mode, and if the correction coefficients are inconsistent, a fault is reported according to the calculation of a CRC check rule;
step 3-4: real-time video and state monitoring:
the monitoring system comprises a monitoring chip, receives the real-time video data of the image processing module, and monitors the video data in real time, and comprises:
(1) detecting and judging the gray information of the picture;
(2) detecting variance to judge a frozen picture;
(3) detecting and judging a rolling dislocation picture by the row and column identification;
step 3-5: and (4) alarm indication:
and according to the state monitoring and video monitoring results, the detection results are reported to an onboard maintenance system OMS or a health management system through an ARINC429 bus, and warnings or instructions are provided for the crew.
2. The method as claimed in claim 1, wherein the reporting of the configuration discrete quantity acquisition data in step 3-1 is performed via ARINC 429.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7355179B1 (en) * | 2005-07-30 | 2008-04-08 | Rockwell Collins, Inc. | Scene imaging system integrity monitor and method thereof |
| CN107608815A (en) * | 2017-09-18 | 2018-01-19 | 中国航空工业集团公司洛阳电光设备研究所 | Multi-tiled display processing and integrality circularly monitoring apparatus and method for airborne display system |
| CN107908892A (en) * | 2017-11-28 | 2018-04-13 | 中国民航大学 | A kind of enhancing visual system Safety Analysis Method based on model |
| US11004348B1 (en) * | 2019-03-01 | 2021-05-11 | Rockwell Collins, Inc. | Guidance deviation derivation from high assurance hybrid position solution system and method |
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- 2021-11-17 CN CN202111364869.0A patent/CN114281593B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7355179B1 (en) * | 2005-07-30 | 2008-04-08 | Rockwell Collins, Inc. | Scene imaging system integrity monitor and method thereof |
| CN107608815A (en) * | 2017-09-18 | 2018-01-19 | 中国航空工业集团公司洛阳电光设备研究所 | Multi-tiled display processing and integrality circularly monitoring apparatus and method for airborne display system |
| CN107908892A (en) * | 2017-11-28 | 2018-04-13 | 中国民航大学 | A kind of enhancing visual system Safety Analysis Method based on model |
| US11004348B1 (en) * | 2019-03-01 | 2021-05-11 | Rockwell Collins, Inc. | Guidance deviation derivation from high assurance hybrid position solution system and method |
Non-Patent Citations (1)
| Title |
|---|
| 张简;: "全景视频监视系统在贵阳机场的应用", 电脑知识与技术, no. 07, 5 March 2015 (2015-03-05) * |
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