CN113014636A - Flight simulator online monitoring system based on Internet of things - Google Patents
Flight simulator online monitoring system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an online monitoring system of a flight simulator based on the Internet of things, which comprises: the sensor signal acquisition module comprises sensors arranged at monitoring points of the flight simulator; the terminal node module is used for receiving the sensor signal of the sensor signal acquisition module, converting the sensor signal into monitoring data and uploading the monitoring data to the Internet of things cloud platform; and the Internet of things cloud platform is used for receiving and storing the monitoring data, providing real-time query and visual services, and pushing equipment abnormal information through real-time communication software according to the monitoring data. The embodiment of the invention enables a field engineer and related management personnel to master the running state of the equipment in real time, realizes 24-hour uninterrupted and dead-angle-free monitoring of the flight simulator equipment, can timely make a reasonable plan for abnormal problems, and practically improves the running quality and flight training effect of the flight simulator.
Description
Technical Field
The invention relates to the field of aviation simulators, in particular to an online monitoring system of a flight simulator based on the Internet of things.
Background
The flight simulator is used as a main device for pilot training and corresponding subject examination, and if abnormality occurs in the running process of the simulator, the flight simulator has great influence on the training effect and also influences the training progress; in order to ensure the operation quality of the simulator, a field maintenance engineer needs to pay close attention to and master the operation state of each system of the simulator. In the past, a field engineer carries out inspection and recording in a polling mode at fixed time and fixed point, but because a flight simulator system is complicated, a plurality of subsystems such as a cockpit avionics system, a computer system, a hydraulic motion system and a vision system exist. The manpower inspection mode has the problems of labor waste, time consumption, low efficiency and large omission.
In addition, with the continuous expansion of the size of the company simulator, companies carry out multiple operations, which puts new requirements on the centralized monitoring of the state of the simulator. Along with the increase of the monitoring amount, a large amount of monitoring data are generated, and the important data which are stored and utilized have important significance for troubleshooting analysis of a simulator, aviation material reserve analysis and the like. Obviously, the manual inspection recording mode no longer meets the monitoring requirement of the simulator in the new period.
The following obvious defects exist in the aspect of monitoring of the current simulator:
1. the manual regular and fixed-point inspection mode needs a large amount of labor and time cost, and a hall (four simulators) of one simulator needs about two hours for completing each system by one person;
2. the manual inspection has a certain blank time period between two inspections, and the state of equipment in the time period cannot be mastered and known in real time, so that an obvious time period omission condition exists;
3. in the operation process of the simulator, many places of manual inspection are not checked, for example, the operation states of electrical equipment such as a power supply in a cockpit and a bottom A900 area of the simulator are in the cab, so that the obvious omission condition of inspection points exists;
4. in multiple places of operation, monitoring information of simulators in various places cannot be shared in real time.
Aiming at the problems, if the operation parameters and the operation state of each system of the simulator can be mastered in real time, the method has important practical significance for guaranteeing the stability and the quality of the simulator.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the flight simulator online monitoring system based on the Internet of things can facilitate maintenance personnel to monitor the running state of the simulator, and improve the working efficiency and the reliability of the simulator.
The online monitoring system of the flight simulator based on the Internet of things comprises: the sensor signal acquisition module comprises sensors arranged at monitoring points of the flight simulator; the terminal node module is used for receiving the sensor signal of the sensor signal acquisition module, converting the sensor signal into monitoring data and uploading the monitoring data to the Internet of things cloud platform; and the Internet of things cloud platform is used for receiving and storing the monitoring data, providing real-time query and visual services, and pushing equipment abnormal information through real-time communication software according to the monitoring data.
According to some embodiments of the invention, the sensor signal acquisition module comprises at least one of: the temperature and humidity sensor module is used for detecting the temperature and humidity of an environment or equipment; a water immersion sensor module for detecting a water immersion event; the system comprises a sound sensor module, a flight simulator and a control module, wherein the sound sensor module is used for detecting alarm sounds with different frequencies emitted by a motion system of the flight simulator and distinguishing the alarm sounds according to interval frequencies; a battery performance detection module for detecting performance parameters of the battery in the EMM cabinet, the performance parameters including at least one of: voltage, current, and internal resistance.
According to some embodiments of the invention, the temperature and humidity sensor module comprises an industrial temperature sensor, a non-contact infrared temperature sensor and an industrial humidity sensor; the industrial temperature sensor and the non-contact infrared temperature sensor are arranged according to the environment of a monitoring point; the industrial temperature sensor is used for detecting the ambient temperature; the non-contact infrared temperature sensor is used for detecting the surface temperature of a certain area of equipment.
According to some embodiments of the invention, the industrial temperature sensor and the non-contact infrared temperature sensor are adapted to detect the temperature of at least one of the following areas: the simulator movement system EMM cabinet, simulator hall, hydraulic oil and power supply area.
According to some embodiments of the invention, the industrial humidity sensor is used for detecting the humidity of a machine room and/or a aeronautical material storage area.
According to some embodiments of the invention, the water sensor module is disposed in at least one of: the simulator comprises a simulator hall, a aviation material warehouse and a machine room area.
According to some embodiments of the invention, the terminal node module comprises: the 485 conversion module is used for converting the analog quantity signal of the sensor into a digital signal; the core circuit module is in communication connection with the 485 conversion module and supports a serial port, an Ethernet port and an SPI (serial peripheral interface); the core circuit module comprises a processor, a FLASH, a hardware watchdog circuit and an extensible LoRa wireless communication module, wherein the processor adopts an STM32F4 series single chip microcomputer; the terminal node module acquires sensor information through a 485 bus and/or an SPI bus, accesses the internet through a WIFI interface or an Ethernet interface, and reports data to the cloud platform.
According to some embodiments of the invention, the internet of things cloud platform comprises: the visual building module is used for providing web visual building service and obtaining an equipment data monitoring web page in a dragging and configuring mode; and the visual real-time monitoring module is used for monitoring the configuration of the web page according to the equipment data and displaying the monitoring data.
According to some embodiments of the invention, the internet of things cloud platform comprises: the real-time query module is used for querying real-time monitoring data or historical monitoring data of the equipment according to user operation and returning the data to the user; the abnormality monitoring module is used for monitoring the reported equipment monitoring data in real time and sending out equipment abnormality warning information when abnormality is detected according to the service logic configured by the script; and the real-time pushing module is used for pushing the equipment abnormal information to maintenance personnel through real-time communication software according to the equipment abnormal alarm information of the abnormal monitoring module.
According to some embodiments of the invention, the internet of things cloud platform is an aricloud internet of things platform, comprising: the web visualization building service is provided by IoT Studio and is used for building an equipment data monitoring web page; and the abnormal pushing service is used for monitoring the reported equipment monitoring data in real time, and informing the maintenance personnel in time through the nailing swarm robots when the abnormality is detected through the service logic configured by the script.
The embodiment of the invention at least has the following beneficial effects: the embodiment of the invention can realize real-time online monitoring of each key point of the flight simulator, access the cloud system by transmitting the monitoring data back to the gateway through the Internet of things, display the running state information on a web page in real time, push messages through real-time communication software, enable a field engineer and related managers to master the running state of the equipment in real time, realize 24-hour uninterrupted and dead-angle-free monitoring of the flight simulator equipment, timely make a reasonable plan for abnormal problems, and practically improve the running quality and flight training effect of the flight simulator. In addition, the WEB monitoring platform is not limited by regions, so that maintenance personnel can monitor the running state of the simulator conveniently, the working efficiency and the reliability of the simulator are improved, and a solid guarantee is provided for multi-base running.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block diagram of the modules of a system according to an embodiment of the invention.
Fig. 2 is a functional schematic block diagram of a terminal node module according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
Referring to fig. 1, a system of an embodiment of the present invention includes: the sensor signal acquisition module is used for acquiring running state information through sensors arranged at monitoring points of the flight simulator; the terminal node module is used for acquiring sensor information of the sensor signal acquisition module and uploading monitoring data to the Internet of things cloud platform; and the Internet of things cloud platform is used for receiving and storing the monitoring data, providing real-time query and visual services, and pushing equipment abnormal information through real-time communication software according to the monitoring data.
In the embodiment, the output signals of the sensors independently installed at each position of the simulator are collected, so that the running state information and the fault information of the simulator are acquired, the running state information and the fault information are transmitted to the cloud server through the internet, and then the data are displayed on the WEB monitoring platform in real time. And the information is pushed to related personnel in real time through real-time communication software so as to grasp the equipment state in time.
Referring to fig. 2, in some embodiments, the sensor signal acquisition module comprises: temperature and humidity sensor module, water logging sensor module, sound sensor module and battery performance detection module.
Wherein, the temperature sensor: for a long time, the temperature of the EMM cabinet of the simulator movement system, the simulator hall, hydraulic oil, a power supply and other areas is an important parameter concerned by technicians, faults such as simulator system collapse and the like can be caused if the temperature is too high, and according to different monitoring point environments, the temperature of the areas is detected by using an industrial temperature sensor (suitable for a wide area) and a non-contact infrared temperature sensor (suitable for the surface temperature of a small area) respectively.
A humidity sensor: the humidity of the areas such as the machine room and the aircraft material warehouse is also a key point about the normal operation and the service life of the simulator, and the industrial humidity sensor is used for humidity detection in the embodiment of the invention.
Water immersion sensor: areas such as a simulator hall, a shipping material warehouse, a machine room and the like often have water leakage problems, and a training center has been in the past to cause a large amount of high-price shipping material spare part water immersion events due to water leakage, so that huge losses are caused. These key points the layout of the present embodiment uses a water immersion sensor.
The sound sensor comprises: the simulator movement system is provided with an alarm module, alarm sounds with different frequencies can be used for prompting in the lifting process of the simulator movement system and under the abnormal condition of the movement system, but the alarm sounds cannot be found in time after the number of simulators and the working area are continuously enlarged, so that the embodiment of the invention adopts a sound sensor for collection and distinguishes the simulators according to the interval frequency of the alarm sounds.
The storage battery performance detection module: the EMM cabinet is a control center of an electric motion system of the analog machine, and four sections of 12V54Ah storage batteries in the EMM cabinet supply power for emergency landing of the motion system, so that the safety of a machine set and equipment can be guaranteed. Before the movement system of the simulator is pre-positioned, the system can detect the performance of four storage batteries, and if the performance of the batteries is reduced, the movement system of the simulator cannot be used, so that the use of the simulator is seriously influenced. In the past, performance parameters such as voltage, internal resistance and the like of each battery are manually detected after a fault occurs, and then the battery with performance not reaching the standard is replaced urgently for troubleshooting, so that flight training is delayed, and the training effect is influenced. Aiming at the problem, the embodiment of the invention adopts the storage battery on-line health detection system to acquire and monitor the performance parameters of the EMM cabinet storage battery such as voltage, current, internal resistance and the like in real time, transmits data to the cloud system through the wireless transceiver, sets the alarm threshold according to the past experience, changes passive post-processing into active prevention and maintenance, and greatly improves the quality of the simulator.
In some embodiments, to meet the requirements of signal acquisition and transmission processing, the terminal node module includes a 485 conversion module for converting an analog signal of the sensor into a digital signal; the core circuit module is in communication connection with the 485 conversion module, supports a serial port, an Ethernet port and an SPI (serial peripheral interface), comprises a FLASH, a hardware watchdog circuit and an extensible LoRa wireless communication module, adopts a high-performance STM32F4 series single chip microcomputer as a processor, is rich in internal and external devices, and can meet the acquisition requirements of various sensors and the data operation requirements; the terminal node module collects sensor information through a 485 bus and/or an SPI (serial peripheral interface), accesses the internet through a WIFI (wireless fidelity) interface or an Ethernet interface, and reports data to the cloud platform.
In some embodiments, the gateway of the internet of things runs an RT-Thread domestic embedded real-time operating system, the invention completes the transplantation of the operating system and the manufacture of a BSP board level support package, and transplants:
-libmodbus-for supporting modbus communication protocol
-fal _ easyflash-for supporting onboard FLASH storage
cJSON-for parsing and packing JSON data
OTA _ Downloader-for network OTA updates
-ali _ iotkit-Aliyun Internet of things equipment terminal c-sdk
Other basic Components
On the basis, the writing of related application codes and business logic is completed.
In some embodiments, an internet of things cloud platform comprises: the visual building module is used for providing web visual building service and obtaining an equipment data monitoring web page in a dragging and configuring mode; and the visual real-time monitoring module is used for monitoring the configuration of the web page according to the equipment data and displaying the monitoring data.
In some embodiments, an internet of things cloud platform comprises: and the real-time query module is used for querying the real-time monitoring data or the historical monitoring data of the equipment according to the user operation and returning the data to the user.
In some embodiments, an internet of things cloud platform comprises: and the abnormity monitoring module is used for monitoring the reported equipment monitoring data in real time and sending out equipment abnormity warning information when abnormity is detected according to the service logic configured by the script.
In some embodiments, an internet of things cloud platform comprises: and the real-time pushing module is used for pushing the equipment abnormal information to maintenance personnel through real-time communication software according to the equipment abnormal alarm information of the abnormal monitoring module.
In some embodiments, the internet of things cloud platform is an ali cloud internet of things platform. According to the embodiment of the invention, by means of the strong data processing capacity of the Aliyun Internet of things platform, data can be stored in the cloud end and can be inquired in real time. IoT Studio simultaneously provides Web visualization building service, and under most scenes, the development of Web pages related to equipment data monitoring can be completed in a dragging and configuring mode.
In some embodiments, related business services are deployed in the Aliskian cloud, the business services are used for monitoring reported equipment data in real time, maintenance personnel are notified in time through the nailing swarm robots when abnormality is detected through business logic configured through scripts, and active pushing can better remind the maintenance personnel of abnormal equipment states.
The embodiment of the invention realizes the online monitoring of the multiple parameters of each system of the full-motion simulator and the real-time display at the WEB end; unified monitoring management of the cross-region simulator, and unified and centralized storage and display of data; the main design terminal node core circuit module is used for acquiring information of each sensor and pushing the information to the cloud server in a wireless communication mode; the simulation machine monitoring data is pushed to field engineers and relevant workers in real time through the nail APP, and the engineers can master the state of the simulation machine at any time and any place.
Although specific embodiments have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, systems, and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include higher level programming languages may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (10)
1. The utility model provides a flight simulator online monitored control system based on thing networking which characterized in that includes:
the sensor signal acquisition module comprises sensors arranged at monitoring points of the flight simulator;
the terminal node module is used for receiving the sensor signal of the sensor signal acquisition module, converting the sensor signal into monitoring data and uploading the monitoring data to the Internet of things cloud platform;
and the Internet of things cloud platform is used for receiving and storing the monitoring data, providing real-time query and visual services, and pushing equipment abnormal information through real-time communication software according to the monitoring data.
2. The internet of things-based flight simulator online monitoring system of claim 1, wherein the sensor signal acquisition module comprises at least one of:
the temperature and humidity sensor module is used for detecting the temperature and humidity of an environment or equipment;
a water immersion sensor module for detecting a water immersion event;
the system comprises a sound sensor module, a flight simulator and a control module, wherein the sound sensor module is used for detecting alarm sounds with different frequencies emitted by a motion system of the flight simulator and distinguishing the alarm sounds according to interval frequencies;
a battery performance detection module for detecting performance parameters of the battery in the EMM cabinet, the performance parameters including at least one of: voltage, current, and internal resistance.
3. The Internet of things-based online monitoring system of flight simulator of claim 2, wherein the temperature and humidity sensor module comprises an industrial temperature sensor, a non-contact infrared temperature sensor and an industrial humidity sensor;
the industrial temperature sensor and the non-contact infrared temperature sensor are arranged according to the environment of a monitoring point;
the industrial temperature sensor is used for detecting the ambient temperature;
the non-contact infrared temperature sensor is used for detecting the surface temperature of a certain area of equipment.
4. The internet of things-based flight simulator online monitoring system of claim 3, wherein the industrial temperature sensor and the non-contact infrared temperature sensor are configured to detect the temperature of at least one of: the simulator movement system EMM cabinet, simulator hall, hydraulic oil and power supply area.
5. The Internet of things-based flight simulator online monitoring system of claim 3, wherein the industrial humidity sensor is used for detecting humidity in a machine room and/or a aviation material warehouse area.
6. The internet of things-based flight simulator online monitoring system of claim 2, wherein the water sensor module is disposed in at least one of: the simulator comprises a simulator hall, a aviation material warehouse and a machine room area.
7. The internet of things-based online monitoring system for a flight simulator according to claim 1, wherein the terminal node module comprises:
the 485 conversion module is used for converting the analog quantity signal of the sensor into a digital signal;
the core circuit module is in communication connection with the 485 conversion module and supports a serial port, an Ethernet port and an SPI (serial peripheral interface); the core circuit module comprises a processor, a FLASH, a hardware watchdog circuit and an extensible LoRa wireless communication module, wherein the processor adopts an STM32F4 series single chip microcomputer;
the terminal node module acquires sensor information through a 485 bus and/or an SPI bus, accesses the internet through a WIFI interface or an Ethernet interface, and reports data to the cloud platform.
8. The internet of things-based flight simulator online monitoring system of claim 1, wherein the internet of things cloud platform comprises:
the visual building module is used for providing web visual building service and obtaining an equipment data monitoring web page in a dragging and configuring mode;
and the visual real-time monitoring module is used for monitoring the configuration of the web page according to the equipment data and displaying the monitoring data.
9. The internet of things-based flight simulator online monitoring system of claim 1, wherein the internet of things cloud platform comprises:
the real-time query module is used for querying real-time monitoring data or historical monitoring data of the equipment according to user operation and returning the data to the user;
the abnormality monitoring module is used for monitoring the reported equipment monitoring data in real time and sending out equipment abnormality warning information when abnormality is detected according to the service logic configured by the script;
and the real-time pushing module is used for pushing the equipment abnormal information to maintenance personnel through real-time communication software according to the equipment abnormal alarm information of the abnormal monitoring module.
10. The online monitoring system of flight simulator based on the internet of things of claim 1, wherein the internet of things cloud platform is an ali cloud internet of things platform, comprising:
the web visualization building service is provided by IoT Studio and is used for building an equipment data monitoring web page;
and the abnormal pushing service is used for monitoring the reported equipment monitoring data in real time, and informing the maintenance personnel in time through the nailing swarm robots when the abnormality is detected through the service logic configured by the script.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN114090109A (en) * | 2021-09-30 | 2022-02-25 | 安胜（天津）飞行模拟系统有限公司 | Starting method of flight simulator |
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