CN112540358A - Function self-repairing radar system based on state prediction - Google Patents
Function self-repairing radar system based on state prediction Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/40—Means for monitoring or calibrating
- G01S7/4004—Means for monitoring or calibrating of parts of a radar system
Abstract
The invention discloses a function self-repairing radar system based on state prediction, which belongs to the technical field of radar and comprises a data acquisition and storage module, a state diagnosis and prediction module, a function repair control module and a radar system function module, wherein the radar system function module, the data acquisition and storage module, the state diagnosis and prediction module and the function repair control module are sequentially in end-to-end communication connection. On the basis of the traditional radar, the method can collect the operation data of each component of the radar in real time, predict the operation state trend of the radar component extension or assembly in a period of time in the future, complete the restoration of the radar function according to the prediction result, reduce the occurrence of shutdown phenomenon of the radar due to faults, and is worthy of popularization and application.
Description
Technical Field
The invention relates to the technical field of radars, in particular to a function self-repairing radar system based on state prediction.
Background
With the development of science and technology, the aerospace industry is more and more important in life of people, but the flight safety can not be kept away from the real-time detection of the radar on the airplane, so that a plurality of radars are erected in environments such as high mountains, deserts, island reefs and the like, but part of the island reefs are far away from continents, and part of the high mountains are covered with snow all the year round, and the radars in the severe environments have the conditions of difficult construction of places, inconvenient use and maintenance and the like, so in actual use, the radars with high power and high reliability need to be arranged as much as possible to undertake the detection task of aircrafts such as the airplane and; however, the radar with high reliability has the possibility of failure, so that the lack of maintenance personnel and guarantee equipment due to inconvenient traffic can cause the failure and halt of the radar, and the duty task of the radar can be influenced.
When the existing common method of the high-reliability air traffic control radar is used, partial equipment of the radar is subjected to hot backup design, namely, under the condition that a certain extension or component can normally meet the working requirement of the radar, the same parallel extension or component is added to work together, and the method has the advantages that when one extension or component of the radar breaks down, the parallel extension or component can still take the normal duty task, so that the normal work of the whole radar system is ensured; the faulty extension or component can be shut down for maintenance at this point; but when no radar fault occurs, both extensions or components work online unless the operation is halted by human control. If all the extension sets or assemblies connected in parallel are not turned off, the long-term online operation of all the extension sets or assemblies can cause the failure rate of the components of the extension sets or assemblies to be increased, and therefore the task reliability of the radar cannot achieve the expected design effect. When the radar is not in fault, because the radar cannot master the fault and the normal intermediate state, the extension set or the component connected in parallel is manually controlled to stop working, and when the radar is in fault, the maintenance is possibly not timely, so that the radar is influenced to take on duty.
The method can predict that the future repair of the radar system gradually moves to an automatic and intelligent road, so that the radar moves from the manned state to the unmanned state and even to the unattended state; therefore, a functional self-repairing radar system based on state prediction is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to better meet the high-reliability work requirements of large electronic products such as radars and the like, the problem of fault repair existing in the actual use process is solved under the unattended condition, and a function self-repairing radar system based on state prediction is provided.
The invention solves the technical problems through the following technical scheme, and the radar system comprises a data acquisition and storage module, a state diagnosis and prediction module, a function repair control module and a radar system function module;
the data acquisition and storage module is used for communicating with the radar system function module through a protocol interface and receiving and storing online test data;
the radar system function module comprises a plurality of same parallel components, wherein one part of the components is opened and the other part of the components is closed when the radar works, is used for realizing each function of the radar system and receives a starting or closing instruction sent by the function repairing control module;
the state diagnosis and prediction module is used for receiving the radar state effective data output by the data acquisition and storage module and diagnosing and predicting the state of the component;
the function repairing control module is used for controlling each component of the radar system function module to be opened or closed according to the information output by the state diagnosis and prediction module, and maintaining the normal work of the radar system;
the radar system function module, the data acquisition and storage module, the state diagnosis and prediction module and the function repair control module are sequentially in end-to-end communication connection.
Furthermore, the state parameter information collected by the data collection and storage module covers the whole radar system and is used for completely reflecting the working technical state of the radar equipment.
Furthermore, the data acquisition and storage module comprises a data interface unit, a data filtering unit, a format conversion unit, an identification binding unit and a data storage unit which are connected in sequence; the data interface unit continuously or periodically acquires working parameter data of the operation of each component by using various sensors and detection circuits, and receives corresponding detection information through the communication interface circuit; the data filtering unit filters the received detection information and extracts effective test data; the data format conversion unit converts the filtered data into a digital format convenient for subsequent processing; the identification binding unit receives a unique identification output by the component or manually input, and binds the unique identification of the component with the detection data; the data storage unit receives the detection data subjected to the identification processing and stores the detection data into a database.
Furthermore, the state diagnosis and prediction module comprises a fault diagnosis unit and a state prediction unit, wherein the fault diagnosis unit receives the radar state effective data output by the data acquisition and storage module and determines whether a relevant diagnosis object has a fault condition according to a radar fault judgment criterion; the state prediction unit analyzes the historical state data of the radar in the database by inquiring the effective data in the database, predicts the evolution trend of each component parameter of the radar in a certain time range and displays the evolution trend in a visual mode.
Furthermore, the fault diagnosis unit judges the fault condition of the tested component by referring to the transmitting and receiving signal of the tested component, and when the tested component does not receive the input signal, the component is judged to be in an unknown state; when the tested component receives an input signal but does not have an output signal, judging that the component has a fault; when the tested component receives the input signal and has the output signal, the component is judged to have no fault.
Furthermore, the working logic of the function repair control module is as follows: when the radar is just started, the components with short total starting time are started preferentially according to the total starting time of each component, so that the working time of each component is balanced; when a component of a certain functional module of the radar system fails, controlling a certain parallel component which is not started to replace the failed component to work, so that the function of the radar is repaired; when the performance of a certain component is detected to be reduced and a fault is predicted to occur, controlling a certain parallel component which is not started to start, and closing the performance reduction component after the newly started component works stably.
Compared with the prior art, the invention has the following advantages: the function self-repairing radar system based on state prediction can collect operation data of each component of a radar in real time on the basis of a traditional radar, predict the operation state trend of the extension or the assembly of the radar in a future period of time, complete the repair of the radar function according to the prediction result, reduce the occurrence of shutdown phenomenon of the radar due to faults, and is worthy of popularization and application.
Drawings
FIG. 1 is a block diagram of a self-healing radar system according to a second embodiment of the present invention;
FIG. 2 is a block diagram of functional modules of a radar system according to a second embodiment of the present invention;
FIG. 3 is a block diagram of a data acquisition and storage module according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a status diagnostic prediction module according to a second embodiment of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
Example one
The self-repairing radar system comprises a data acquisition and storage module, a state diagnosis and prediction module, a function repairing control module, a radar system function module and the like.
The radar system functional module comprises a plurality of components connected in parallel, and when the radar works normally, only part of the components need to be powered on to work, and other components are in a power-off state.
The data acquisition and storage module collects the operation data of each function module of the radar by utilizing various sensors and self-contained detection equipment in the function modules of the radar system, the collected state parameter information covers the whole radar system and is used for completely reflecting the working technical state of the radar equipment, the data acquisition and storage module receives corresponding detection information through a communication interface or a man-machine interaction device, the received detection information is filtered and subjected to format conversion, a database table is established by taking an information data item as a unit, a unique identifier of a standard instrument is bound for each piece of stored information, and meanwhile, the data is stored in the database.
The state diagnosis and prediction module is mainly used for completing fault diagnosis, fault trend prediction and the like of each component of the radar. The state diagnosis and prediction module establishes a radar diagnosis knowledge base, converts a fault model, a fault representation and expert knowledge into a software description language which can be identified by a state prediction management system through key technologies such as a state knowledge representation technology, a fault tree diagnosis rule technology, an expert system fault diagnosis technology and the like, and positions the fault through automatic and manual guidance one-step recursion to complete the judgment, detection and isolation of the radar fault. The radar diagnosis knowledge base covers the main failure mode of the equipment, and can be modified and expanded.
When the radar complete machine is normal, the function repair control module preferentially selects components with good performance and short total startup time to start up according to the estimation of total startup time, performance quality and the like and a preset principle; when the state diagnosis prediction module predicts the possibility of performance reduction or failure of a certain component, the functional repair control module controls the standby component to be started, and replaces the component with performance reduction or even failure with a normal component, so that the whole radar system is enabled to be normal in function.
Example two
As shown in fig. 1, the functional self-repair radar system of the present embodiment specifically includes: the system comprises a radar system function module, a data acquisition and storage module, a diagnosis and prediction module and a function repair control module; the radar system functional module is an extension set or an assembly designed for the radar to complete a certain function; the data acquisition and storage module is communicated with the radar system function module through a protocol interface to realize the receiving and storage of the online test data; the diagnosis prediction module calls test data stored in the database at regular time, carries out fault diagnosis and state prediction on each functional component of the radar, counts information such as starting time of each component and provides a maintenance suggestion; and the function repairing control module controls the radar system function module to complete component switching, and finally realizes the repairing of the radar system function.
As shown in fig. 2, the radar system function module includes n parallel components, so long as k of the components work normally, the function of the radar system can be ensured, and other components are in a closed state; when a certain component which is working goes wrong or performance reduction of the certain component is predicted, a command of the function repair control module is received, and the certain component which is originally closed is opened to replace the component which has gone wrong or performance reduction.
As shown in fig. 3, the data acquisition and storage module specifically includes a data interface unit, a data filtering unit, a format conversion unit, an identifier binding unit, and a data storage unit. And when the data acquisition and storage module runs, the data acquisition and storage module acquires the working parameter data of each device of the radar, and filters, converts and stores the data.
The data interface unit continuously or periodically acquires working parameter data of equipment operation by using various sensors and detection circuits, and receives corresponding detection information through the communication interface circuit;
the data filtering unit filters the received detection information and extracts effective test data, and the specific operation method is to compare the detection data with an average value, reject the detection data exceeding a preset limit range and eliminate the phenomenon that part of the detection data obviously exceeds a normal range due to accidental factors such as external interference;
the data format conversion unit converts the filtered data into a digital format convenient for subsequent processing, different magnitude units and decimal part reserved digits are selected for each piece of detection data according to preset requirements, for example, the noise coefficient of a receiving channel is defined as a decibel value for reserving 1-digit decimal, and the power of a transmitting assembly is a kilowatt power value for reserving 1-digit decimal;
the identification binding unit receives a unique identification output by the component or manually input, and binds the unique identification of the component with the detection data so as to respectively carry out state prediction and evaluation on different components;
the data storage unit receives the detection data and stores the detection data into a database, so that the subsequent diagnosis and prediction module can be called conveniently.
As shown in fig. 4, the diagnosis and prediction module specifically includes a fault diagnosis unit and a state prediction unit, and when the diagnosis and prediction module operates, the system determines the state of the tested component according to the change rule of the detection data, and predicts the state change trend.
The fault diagnosis unit judges the fault condition of the tested component by referring to the transmitting and receiving signal of the tested component, and when the tested component does not receive the input signal, the component is judged to be in an unknown state; when the tested component receives an input signal but does not have an output signal, judging that the component has a fault;
the state prediction unit predicts the evolution trend of the working state of the tested component in a period of time in the future by inquiring and analyzing effective test data after data processing under the condition that the state of the tested component is determined to be free from faults, for example, the test values are connected into a curve by utilizing the change trend of the transmitting power, and whether the transmitting power has a reduction trend can be predicted according to the change rule of the curve; similarly, whether the driving current tends to increase or not can be judged by utilizing the change curve of the driving current of the motor, and the larger the rotation resistance of the motor is, the larger the required driving current is, so that whether the rotation resistance of the motor tends to increase or not can be judged, and a final diagnosis and prediction result is formed according to a preset threshold value, so that a basis is provided for the function restoration of the radar.
The function restoration control module works according to the conclusion of the state diagnosis prediction module; when the radar is just started, the assemblies with short total starting time are started preferentially according to the total starting time of each assembly, so that the working time of each assembly is balanced, and the condition that part of assemblies are always in a working state and the other part of assemblies cannot be applied all the time is avoided; when a component of a certain functional module of the radar system fails, unconditionally controlling a certain parallel component which is not started to replace the component to work so as to repair the function of the radar; when the performance of a certain component is detected to be reduced and a fault is predicted to occur, a parallel component which is not started is controlled to be started, and after the newly started component works stably, the performance reduction component is closed, so that the fault which influences the performance of a radar system function module is avoided.
In summary, the function self-repairing radar system based on state prediction of the above embodiment can collect operation data of each component of the radar in real time on the basis of the traditional radar, predict an operation state trend of the component or assembly of the radar in a future period of time, and complete the repair of the radar function according to the prediction result, thereby reducing the occurrence of shutdown of the radar due to failure, and being worth being popularized and used.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. A functional self-repairing radar system based on state prediction is characterized in that: the system comprises a data acquisition and storage module, a state diagnosis and prediction module, a function repair control module and a radar system function module;
the data acquisition and storage module is used for communicating with the radar system function module through a protocol interface and receiving and storing online test data;
the radar system function module comprises a plurality of same parallel components, wherein one part of the components is opened and the other part of the components is closed when the radar works, is used for realizing each function of the radar system and receives a starting or closing instruction sent by the function repairing control module;
the state diagnosis and prediction module is used for receiving the radar state effective data output by the data acquisition and storage module and diagnosing and predicting the state of the component;
the function repairing control module is used for controlling each component of the radar system function module to be opened or closed according to the information output by the state diagnosis and prediction module, and maintaining the normal work of the radar system;
the radar system function module, the data acquisition and storage module, the state diagnosis and prediction module and the function repair control module are sequentially in end-to-end communication connection.
2. The functional self-healing radar system based on state prediction of claim 1, wherein: the state parameter information acquired by the data acquisition and storage module covers the whole radar system and is used for completely reflecting the working technical state of equipment of the radar system.
3. The functional self-healing radar system based on state prediction of claim 2, wherein: the data acquisition and storage module comprises a data interface unit, a data filtering unit, a format conversion unit, an identification binding unit and a data storage unit which are sequentially connected; the data interface unit continuously or periodically acquires working parameter data of the operation of each component by using various sensors and detection circuits, and receives corresponding detection information through the communication interface circuit; the data filtering unit filters the received detection information and extracts effective test data; the data format conversion unit converts the filtered data into a digital format convenient for subsequent processing; the identification binding unit receives a unique identification output by the component or manually input, and binds the unique identification of the component with the detection data; the data storage unit receives the detection data subjected to the identification processing and stores the detection data into a database.
4. The functional self-healing radar system based on state prediction of claim 3, wherein: the state diagnosis and prediction module comprises a fault diagnosis unit and a state prediction unit, wherein the fault diagnosis unit receives the radar state effective data output by the data acquisition and storage module and determines whether a fault condition exists in a related diagnosis object according to a radar fault judgment criterion; the state prediction unit analyzes the historical state data of the radar in the database by inquiring the effective data in the database, predicts the evolution trend of each component parameter of the radar in a certain time range and displays the evolution trend in a visual mode.
5. The functional self-healing radar system based on state prediction of claim 4, wherein: the fault diagnosis unit judges the fault condition of the tested component by referring to the receiving and transmitting signal of the tested component, and when the tested component does not receive the input signal, the component is judged to be in an unknown state; when the tested component receives an input signal but does not have an output signal, judging that the component has a fault; when the tested component receives the input signal and has the output signal, the component is judged to have no fault.
6. The functional self-healing radar system based on state prediction of claim 5, wherein: the working logic of the function repairing control module is as follows: when the radar is just started, the components with short total starting time are started preferentially according to the total starting time of each component, so that the working time of each component is balanced; when a component of a certain functional module of the radar system fails, controlling a certain parallel component which is not started to replace the failed component to work, so that the function of the radar is repaired; when the performance of a certain component is detected to be reduced and a fault is predicted to occur, a parallel component which is not started is controlled to be started, and after the newly started component works stably, the component with the reduced performance is closed.
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