Weather radar system fault simulation method

Abstract

The invention discloses a weather radar system fault simulation method, and belongs to the technical field of radar simulation. The method comprises component simulation based on signal flow, fault link simulation and fault alarm simulation. Component simulation takes an input signal as a drive to construct a mathematical model, a simulation component of which the output signal electrical characteristics are consistent with the reality is generated, and a fault can be set through a parameter interface; according to fault link simulation, simulation components are connected into a main link according to a radar link, and fault signals are acquired and transmitted in combination with a fault monitoring and acquisition component; the fault alarm simulation is based on fault signals, and alarm codes are generated through three types of models. The method can accurately reproduce radar faults and alarms, provides support for maintenance, and has the advantages of high matching degree, repeatable fault setting and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of radar simulation technology, in particular to a weather radar system fault simulation method. BACKGROUND

[0002] Since the late 1990s, a new generation of Doppler weather radar has been built and has played an important role in disaster weather monitoring and early warning services. The new generation of weather radar system is a complex device including a transmitter, a receiver, an antenna servo, a signal processing, and a monitoring system. Especially the main amplifier transmitter structure based on the vacuum speed tube needs to generate several thousand volts of high voltage internally to provide enough power to transmit and meet the detection power of the weather radar. In addition, the weather radar works 24 hours without interruption, and the servo system, high-voltage transmission system and other systems have high reliability requirements and cannot work normally. However, as the radar ages, the aging of some electronic devices and mechanical wear and tear of the radar, the frequency of some radar failures gradually increases, and the support pressure of weather radar equipment is increasing, which seriously hinders the play of weather radar.

[0003] The weather radar is a closed loop system with good radar self-checking BIT and protection inside. Once a component or assembly fails, the radar will automatically detect and alarm. In order to protect the entire system, the radar will further produce self-locking to make the entire radar stop, so that after the radar fails, the radar is in a stop state and can only display the fault state, but cannot start the radar, and the repeated failure phenomenon brings difficulties to the radar maintenance and support personnel to determine the fault location and quickly repair. A soft simulation system with the function of repeating typical radar faults can set the typical component faults of the radar, reproduce the radar fault phenomenon and fault result, and further verify the fault guess of the radar maintenance and support personnel to gradually determine the fault location.

[0004] How to reproduce the radar fault problem and phenomenon after the weather radar fails, help maintenance personnel to analyze and judge the cause of the radar fault as soon as possible, and form a solution as soon as possible, is the key to improve the efficiency of the radar and play the benefit of the radar.

[0005] The existing radar fault simulation technology generally models and simulates the fault generation module and display module of the radar according to the randomness, correlation and display characteristics of the airborne radar self-checking fault. The fuzzy membership method is used in the radar fault generation model to simulate the correlation of the actual radar self-checking fault generation. And according to the different operation measures and display thresholds of high and low priority faults of the radar, different faults will be generated. This radar fault simulation technology is generally applied to the radar simulator, which has the following defects:

[0006] (1) The existing radar fault simulation technology is based on BIT fault information for modeling and simulation, and the fault modeling process does not consider the cause of the fault, and the simulated fault is a randomly generated fault with correlation. This method cannot establish the relationship between the fault and the component, and cannot help the maintenance personnel to determine the fault.

[0007] (2) The existing modeling and simulation technology based on BIT fault information does not have a radar hardware system, radar fault signal flow monitoring, and radar fault closed-loop system, and cannot adapt to the fault simulation of weather radar.

[0008] (3) The system and method related to weather radar fault simulation have not been reported. SUMMARY

[0009] The purpose of the present application is to provide a weather radar system fault simulation method, which is based on the characteristics of the hardware and fault monitoring system of the new generation weather radar system, and which builds a weather radar key fault monitoring link through radar component and fault modeling based on signal flow, and which reproduces weather radar key component, extension and system fault alarm, fault monitoring waveform and fault phenomenon, etc., to provide a new method and means for weather radar fault analysis and diagnosis.

[0010] In order to achieve the above purpose, the technical scheme adopted is as follows:

[0011] The present application provides a weather radar system fault simulation method, which comprises:

[0012] The input signal of the radar component input interface is used as the driving, and the radar component mathematical model is established according to the actual radar component function and performance requirements, the radar simulation component is generated, and the output signal of the output interface of the radar simulation component is consistent with the actual radar component in frequency, waveform, level and power; the radar simulation component sets a parameter interface, and adjusts the internal function and output signal of the component through the parameter interface to realize fault setting;

[0013] Based on the radar simulation component, the main link of complete signal flow is connected according to the radar link structure, and the fault monitoring component and the fault acquisition component are added in the main link to form a fault link; the fault link acquires the fault signal of the component in the main link through the fault acquisition component and transmits it to the fault monitoring component, and the fault monitoring component performs control operation on the radar simulation component of the main link according to the fault signal;

[0014] Based on the fault signal output by the fault link, the corresponding fault alarm code is generated through the voltage / current / power out-of-range alarm model, the component fault monitoring signal abnormal alarm model and the radar calibration process fault alarm model.

[0015] Further, the input signals of the radar component input interface include power signals, main function input signals and state input signals; the output signals include main function output signals, state output signals and fault monitoring output signals;

[0016] The expression of the radar component mathematical model is:

[0017]

[0018] Wherein f x (), f s () and f m () respectively represent the mathematical functions of the main function output signal FunctionOut_signal, the state output signal StatusOut_signal and the fault monitoring signal FaultMOut_signal; FunctionIn_signal represents the main function input signal inputted by other radar components to the current radar component, PowerIn_sginal represents the power input signal, StatusIn_signal is the input state or control signal of the component, and Paramter is the control parameter of the radar simulation component; InterStatus is an internal state variable in the simulation mathematical modeling process, which is the output signal of the main function output signal modeling function f x (), and the output signal is sent to f s (), f m () functions as an input signal; N1, N2, N3, N5, N7 and N8 respectively correspond to the quantities of FunctionOut_signal, StatusOut_signal, FaultMOut_signal, FunctionIn_signal, PowerIn_sginal and StatusIn_signal, for example, N1 is the signal quantity of the main function output signal FunctionOut_signal, wherein the letter N is the quantity, and the number 1 corresponds to the FunctionOut_signal signal.

[0019] Further, the fault signals include associated fault signals, direct fault signals and power fault signals; wherein:

[0020] The associated fault signal is a digital signal obtained by receiving error state information and transmitting to the fault collection component by other radar simulation components having a synchronous state relationship with the radar simulation component when the radar simulation component in the main link fails, and then converting the error state information;

[0021] The direct fault signal is a fault digital signal directly outputted by the radar simulation component in the main link when the radar simulation component fails;

[0022] The power fault signal is a signal collected by the power monitor and transmitted to the fault collection component when the main link output signal power is abnormal.

[0023] Further, the expression of the associated fault signal is:

[0024] FaultSignal[Fc:N1]=f d (StatusOut_signal[2:N5], StatusIn_signal[1:N4], FaultMOut[1:N6]) (4)

[0025] wherein StatusOut_signal[2:N5] is the state signal output by the radar component, the numbers 2 and 1 represent the number of the radar component, StatusIn_signal[1:N4] represents the state signal input by the radar component 1, FaultMOut[1:N6] is the fault signal output by the radar component 1, f d is a mathematical function of the associated fault signal, FFc is the fault input analog signal output by the radar fault component 1 to the fault collection component, FaultSignal[Fc:N1] is the fault judgment result output by the radar collection component after analog-digital collection and threshold judgment on Fc, the result of '1' indicates a fault, and the result of '0' indicates no fault;

[0026] The expression of the direct fault signal is:

[0027] FaultSignal[FM:N1]=f e (FaultMOut[3:N6]) (5)

[0028] wherein FaultSignal[FM:N1] is the fault monitoring signal output by the fault component, FM is the fault monitoring signal output by the radar component, FaultMOut[3:N6] is the output result of the direct fault signal of the radar component 3, the result of '1' indicates a fault, and the result of '0' indicates no fault; the number 3 in [3:N6] represents the radar component 3, and N6 represents the number of fault monitoring signals, wherein N represents the number, and 6 represents the fault monitoring signal; f e is a mathematical function of the direct fault signal;

[0029] The expression of the power fault signal is:

[0030] FaultSignal[Fc:N1]=f w (PowerMonitor[Pm:N6]) (6)

[0031] wherein f wPowerMonitor[Pm:N6] is a mathematical function of power failure signal, PowerMonitor is a monitoring signal of power monitor, [Pm:N6] is an output signal of radar power monitor, the signal number is N6, f w The function judges the failure monitoring signal of the power monitor, and when it is lower than a certain threshold, it is judged that the radar fails, and outputs a failure signal FaultSignal[Fc:N1], the result is '1' indicating failure, and the result is '0' indicating no failure.

[0032] Further, the expression of the voltage / current / power out-of-range alarm model is:

[0033]

[0034] Where V is the voltage value, I is the current value, P is the power value, ThresholdV, ThresholdI, ThresholdP are the failure thresholds of voltage, current and power, AlarmCode is the radar failure alarm code, and FaultOut is the final failure output of the radar, and in formula (7) the failure output is the radar alarm code.

[0035] Further, the expression of the component failure monitoring signal abnormal alarm model is:

[0036]

[0037] Where FaultMOut_Signal is the failure state signal, AlarmCode is the failure alarm code, and FaultOut is the final failure output of the radar, and in formula (8) the failure output is the radar alarm code.

[0038] Further, the radar calibration process failure alarm model includes a return strength calibration failure simulation model, which is used to perform failure alarm of a radio frequency excitation signal RFD, a continuous wave signal CW and / or a klystron drive signal KD; wherein:

[0039] The failure alarm of the radio frequency excitation signal RFD includes: obtaining at least three power RFD signals injected at a fixed distance, calculating a first difference ΔdBZ RFDi between the measured value and the target value and a first error RFD_ERROR, and generating a corresponding alarm code when RFD_ERROR exceeds a first threshold

[0040] The failure alarm of the continuous wave signal CW includes: obtaining a fixed power CW signal injected within a preset distance range, calculating a second difference ΔdBZ CWand a second error CW_ERROR, when the CW_ERROR exceeds a second threshold, a corresponding alarm code is generated;

[0041] The fault alarm of the klystron driving signal KD includes: acquiring the attenuated KD signal, calculating a third difference value ΔdBZ of the measured value and the theoretical value KD and a third error KD_ERROR, when the ΔdBZ KD exceeds a third threshold, a corresponding alarm code is generated.

[0042] Further, the calculation formula of the first error RFD_ERROR is:

[0043]

[0044] Where i is the RFD signal of the i-th power, and there are three different powers of RFD signals in total, and the powers are: -70dBm, -57dBm, and -34dBm. When i=1, it represents the RFD signal with a power of -70dBm.

[0045] The calculation formula of the second error CW_ERROR is:

[0046]

[0047] The calculation formula of the third error KD_ERROR is:

[0048]

[0049] Where j is the serial number of the KD1, KD2 and KD3 signals, and when j=1, it represents the KD1 signal.

[0050] Further, the input signal of the radar simulation component further includes at least one of an inverse peak current sampling signal, a modulator primary pulse current signal, and a trigger enable signal; and the output signal of the radar simulation component further includes at least one of a silicon controlled trigger pulse signal, an inverse peak charging fault signal, and a modulator overload fault signal.

[0051] Further, the control operation performed by the fault monitoring component on the radar simulation component of the main link includes at least one of power-off and input-output switching.

[0052] The beneficial effects of the present application are:

[0053] 1) The radar key component, key fault link and fault alarm proposed in the present application are modeled and simulated according to the signal interface of the actual weather radar key component and the signal flow direction of the key link, and have high matching with the signal flow direction and fault alarm of the actual radar.

[0054] 2) The signal flow-based fault simulation scheme proposed in the application, after modeling the key components and key links of the radar, adjusts the radar component configuration parameters to make the current radar component output signal abnormal, and then causes the radar key link and system fault. This process is highly similar to the common situation that component failure leads to system failure in actual radar.

[0055] 3) The application simulates radar component failure, radar key link and system failure. Due to the flexible adjustment of radar component parameters and rich adjustment points, the system can simulate a variety of radar failures caused by different reasons.

[0056] 4) The application adopts component-based building, storage management and drag-and-drop calling, which is easy to operate, flexible to configure and reusable. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A flowchart of a weather radar system fault simulation method provided for an embodiment of the application;

[0058] Figure 2 A weather radar component modeling schematic diagram provided for an embodiment of the application;

[0059] Figure 3 A weather radar fault link schematic diagram provided for an embodiment of the application;

[0060] Figure 4 A weather radar trigger simulation component modeling schematic diagram provided for an embodiment of the application;

[0061] Figure 5 A trigger simulation component simulation waveform diagram provided for an embodiment of the application; wherein (a) is a modulator reverse peak current sampling waveform; (b) is a modulator primary pulse current sampling waveform;

[0062] Figure 6 A radar trigger actual measurement waveform provided for an embodiment of the application; wherein (a) is a modulator reverse peak current sampling waveform; (b) is a modulator primary pulse current sampling waveform;

[0063] Figure 7 A weather radar filament power supply simulation component modeling schematic diagram provided for an embodiment of the application;

[0064] Figure 8 A filament power supply simulation component simulation output waveform diagram provided for an embodiment of the application; wherein (a) is a filament synchronous trigger wave; (b) is a filament chopper waveform;

[0065] Figure 9 A filament power supply component real measurement waveform diagram provided for an embodiment of the application; wherein (a) is a filament synchronous trigger wave; (b) is a filament chopper waveform;

[0066] Figure 10 A transmitter alarm code diagram provided for an embodiment of the present application;

[0067] Figure 11 A weather radar receiver alarm code diagram provided for an embodiment of the present application;

[0068] Figure 12 A weather radar filament power supply fault link simulation block diagram provided for an embodiment of the present application;

[0069] Figure 13 A weather radar receiver main channel and calibration link simulation block diagram provided for an embodiment of the present application. DETAILED DESCRIPTION

[0070] The present application is described below by way of specific embodiments, and those skilled in the art can easily understand other advantages and effects of the present application from the disclosure of the specification. The present application can also be implemented or applied by different specific embodiments, and various modifications or changes can be made to the details in the specification based on different views and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0071] The specific embodiments of the present application are further described in detail below with reference to the accompanying drawings and embodiments.

[0072] Embodiment 1: Weather radar system fault simulation method

[0073] An embodiment of the present application provides a weather radar system fault simulation method, as shown in Figure 1 Fig. 1 is a flowchart of a weather radar system fault simulation method provided by an embodiment of the present application. The weather radar system fault simulation method includes the following steps S10-S30.

[0074] S10: Weather radar component simulation based on signal flow.

[0075] In this embodiment, the weather radar component simulation based on signal flow specifically includes: taking the input signal of the radar component input interface as the driving, establishing a radar component mathematical model according to the function and performance requirements of the actual radar component, generating a radar simulation component, and making the output signal of the radar simulation component output interface consistent with the actual radar component in frequency, waveform, level and power; the radar simulation component sets a parameter interface, and adjusts the internal function and output signal of the component through the parameter interface to realize fault setting.

[0076] The main purpose of the weather radar component simulation based on signal flow is to drive the input signal of the radar component input interface, to simulate the radar component modeling according to the functional requirements and performance requirements of the actual radar component, to simulate the radar simulation component, and to make the output signal of the simulation radar component output interface consistent with the actual radar component in frequency, waveform, level, power and other electrical characteristics; The simulation radar component establishes a parameter interface, and the internal function and output signal change of the component can be flexibly changed through the parameter interface.

[0077] The main idea of weather radar component simulation is to drive the radar component input interface signal, to perform radar component mathematical modeling according to the functional requirements and performance requirements of the actual radar component, to simulate the radar simulation component, and to make the output signal of the simulation radar component output interface consistent with the actual radar component in frequency, waveform, level, power and other electrical characteristics; At the same time, the simulation radar component establishes a parameter interface, and the internal function and output signal change of the component can be flexibly changed through the parameter interface.

[0078] In some embodiments, as shown in Figure 2 The weather radar component modeling schematic diagram provided by the embodiment of the present application is shown. According to the characteristics of the input and output signals of the weather radar component interface, the radar interface signal type can be divided into power signal PowerIn_signal, main function input signal FunctionIn_signal, main function output signal FunctionOut_signal, state input signal StatusIn_signal, state output signal StatusOut_signal, fault monitoring output signal FaultMOut_signal, etc. The number of each type of signal may not be more than one, and the number of signals of different radar components is different.

[0079] In some embodiments, according to the functional and performance design requirements of the radar component, the mathematical relationship between the output interface signal and the input signal is established. It mainly includes the relationship between the main function output signal and the power signal, the main function input signal, the state input signal; The mathematical relationship between the state output signal and the power signal, the main function input signal, the state input signal, the mathematical relationship between the fault monitoring output signal and the power signal, the main function input signal, the state input signal. In the modeling process, a plurality of radar control parameters Paramter[1:N7] are set, so that the performance of the built radar component can be flexibly changed, and the performance parameter change is changed, and different radar component fault settings are realized. The basic mathematical model of the radar component simulation can be generally represented by the following mathematical formula:

[0080]

[0081]

[0082] wherein f x (), f s (), f m () respectively represent the mathematical functions of the main function output signal FunctionOut_signal, the state output signal StatusOut_signal, and the fault monitoring signal FaultMOut_signal, and the mathematical models of the functions are inconsistent according to the functions of each component; wherein FunctionIn_signal represents the main function input signal input by other components to the component, PowerIn_sginal represents the power input signal, StatusIn_signal is the input state or control signal of the component, which is usually the output signal of other components, and Paramter is the control parameter of the radar simulation component, which is provided for flexible configuration of the user; the foregoing parameters are input parameters of f x (), f s (), f m (), and the control parameters of the three functions are consistent, so that the functions are changed by changing the parameters; InterStatus is an internal state variable in the simulation mathematical modeling process, which is an output signal of the modeling function f x () of the main function output signal, and the state is sent as an input signal to f s (), f m (), so that the state output signal and the fault monitoring output signal of the radar component are not only related to the interface input signals of the component, but also related to the internal function implementation; N1, N2, N3, N4, N5, N6, N7, and N8 respectively correspond to the number of signals, which may be inconsistent for each radar simulation component, and even the number is 0, and is designed according to the actual component and the fault simulation needs in the modeling.

[0083] S20: Weather radar fault link simulation based on signal flow.

[0084] In the embodiment, the weather radar fault link simulation based on signal flow specifically includes: taking the radar simulation component as the basis, connecting the main link of the complete signal flow according to the radar link structure, adding the fault monitoring component and the fault collection component in the main link to form the fault link; the fault link obtains the fault signals of the components in the main link through the fault collection component and transmits the fault signals to the fault monitoring component, and the fault monitoring component performs control operations on the radar simulation components of the main link according to the fault signals.

[0085] The weather radar fault link simulation based on signal flow takes the radar simulation component as the basis, builds the radar fault key simulation link according to the functions and performance requirements of the key fault link of the radar system, establishes the fault monitoring input and output signals of the components before and after the key link, the association of the main channel input and output signals, and keeps consistent with the actual radar.

[0086] The weather radar fault link simulation is based on the component simulation (step S10). The components are connected according to the structure of the radar link to form a complete signal flow process. At the same time, fault monitoring equipment is added to the link to effectively monitor faults and control components.

[0087] In some embodiments, such as Figure 3 The diagram shown is a schematic block diagram of a weather radar fault link provided in an embodiment of the present invention. The fault link mainly consists of a main link and a fault monitoring component. The main link is composed of radar component connections in the weather radar component simulation, mainly completing the simulation of radar signal flow. The fault acquisition component and fault monitoring component below are components for realizing fault reproduction simulation. The red lines represent the signals output to the fault acquisition and fault monitoring components after a component or signal output failure. The blue lines represent the control of the radar simulation component in the main link by the fault monitoring component after detecting the fault signal, such as power failure, switching input and output, etc.

[0088] The signal flow for the entire fault reproduction process can be categorized into the following scenarios:

[0089] a) Correlated faults caused by upstream and downstream components in the radar fault link.

[0090] When radar simulation component 2 malfunctions, because it is synchronized with radar simulation component 1, the error status information sent by the malfunctioning radar simulation component 2 is received by radar simulation component 1. At this time, radar simulation component 1 sends the fault information to the fault acquisition component, which converts the signal into a digital signal and then sends it to the fault monitoring component. The fault information model at this time is expressed by the following mathematical formula:

[0091] FaultSignal[Fc:N1]=

[0092] f d (StatusOut_signal[2:N5],StatusIn_signal[1:N4],FaultMOut[1:N6])(4)

[0093] Where StatusOut_signal[2:N5] represents the status signal output by the radar component, and the number 2 indicates... Figure 3 In the radar component 2, StatusIn_signal[1:N4] represents the input status signal of radar component 1, and FaultMOut[1:N6] is the output fault signal of radar component 1.

[0094] b) Direct failures caused by current components in the radar fault link.

[0095] When the radar simulation component 3 in the figure fails, the radar simulation component directly outputs a fault code, that is, when the output is 0, the radar simulation component is not faulty, and when the output is 1, the simulation component fails, and then the fault signal does not need to be converted by the fault collection component, and the digital signal is directly transmitted to the fault monitoring component. The fault information model at this time is expressed by the following mathematical formula:

[0096] FaultSignal[FM:N1]=f e (FaultMOut[3:N6]) (5)

[0097] c) Radar fault link When all components cause power failure.

[0098] When Figure 3 When the output signal power of the link is abnormal, for example, the power is abnormally large or small, the power monitor obtains error information and sends the power abnormality to the fault collection component. The fault information model at this time is expressed by the following mathematical formula:

[0099] FaultSignal[Fc:N1]=f w (PowerMonitor[Pm:N6]) (6)

[0100] In addition, in the main link, each component also provides a certain signal monitoring interface, which can realize the working condition monitoring of the component.

[0101] S30: Weather radar fault alarm simulation.

[0102] In this embodiment, the weather radar fault link simulation method based on signal flow specifically includes: based on the fault signal output by the fault link, generating corresponding fault alarm codes through the voltage / current / power out-of-range alarm model, the component fault monitoring signal abnormal alarm model and the radar calibration process fault alarm model.

[0103] The weather radar fault alarm simulation method based on signal flow, on the basis of summarizing the actual radar fault signal flow characteristics, from the power / voltage / current signal measurement monitoring, fault abnormal signal monitoring and radar calibration process fault monitoring three aspects, establishes the relationship between the signal and the fault alarm, fault phenomenon, and tries to maintain similar alarm and fault phenomenon as the actual radar.

[0104] When the weather radar fails, the radar will have shutdown, alarm, abnormal output waveform and other failure phenomena, among which the radar failure alarm is the most common failure output. When the weather radar fails, the maintenance personnel will first determine the possible location and cause of the failure according to the radar alarm. Therefore, the problem solved in step S30 is how to generate a simulation method for fault alarm code output after the weather radar failure alarm simulation process based on signal flow generates associated fault signals, direct fault signals, and power monitoring fault signals.

[0105] In some embodiments, according to the principle of actual alarm generation of the weather radar system hardware, the radar failure alarm simulation method is divided into three models, which are voltage / current / power out-of-range alarm model, component failure monitoring signal abnormal alarm model and radar calibration process failure alarm model.

[0106] a) Weather radar voltage, current and power out-of-range failure alarm simulation model.

[0107] The weather radar voltage, current and power out-of-range failure alarm simulation model is an example of the voltage / current / power out-of-range alarm model. It should be noted that the alarm that can be achieved by this alarm model includes but is not limited to the alarm when the weather radar voltage, current and power parameters are out of range. It can also achieve the alarm when other radar parameters are out of range.

[0108] When the voltage, current and power in the weather radar are out of range, it will cause the radar to fail. When the input voltage, current or power in the fault link is abnormal, the signal monitoring interface of the component will judge the abnormal value of the signal and generate the corresponding fault alarm code. The specific implementation formula is as follows:

[0109]

[0110] Where V is the voltage value, I is the current value, P is the power value, ThresholdV, ThresholdI, ThresholdP are the fault thresholds of voltage, current and power. AlarmCode is the radar fault alarm code. The FaultSignal[Fc:N1] output by formula (4) and (6) may contain voltage value, current value or power value signals.

[0111] When the voltage, current or power is out of range, the radar will output the corresponding fault alarm code to prompt the user that the radar has a certain failure. For example, assume Figure 3 The simulation is the transmitter main amplifier fault link. In order to monitor whether the output power of the radar transmitter klystron is normal, the radar will monitor the output power. When the transmitter power is low, the radar will output a fault alarm code 200; and when the transmitter power is normal, i.e. no fault occurs.

[0112] b) Fault alarm simulation modeling of weather radar component fault monitoring signal anomaly.

[0113] In this embodiment, the fault alarm simulation modeling of weather radar component fault monitoring signal anomaly is used to construct the component fault monitoring signal anomaly alarm model. Specifically, when the weather radar component fails, a fault alarm of fault monitoring signal anomaly is generated, and a digital signal is output from the fault monitoring output port of the component. The digital signal is the monitoring signal inside the component, represented by 0 and 1. After the fault monitoring component obtains the information, the radar generates the corresponding fault code and prompts the user. The simulation modeling formula is as follows:

[0114]

[0115] where FaultMOut_Signal is the fault state signal, the value is 1 or 0, when FaultMOut_Signal is 1, the corresponding fault alarm code is output, and when FaultMOut_Signal is 0, there is no fault output.

[0116] Such fault codes are mainly determined by the fault monitoring signal output by the component. For example, assume Figure 2 The simulation is a transmitter modulator fault link. When the charging state monitoring signal of the transmitter modulator component FAULT_Charge = 1, the radar generates the corresponding alarm code 68 for the modulator charging fault.

[0117] c) Fault alarm simulation modeling of weather radar calibration process

[0118] In this embodiment, the fault alarm simulation modeling of weather radar calibration process is used to construct the radar calibration process fault alarm model. Specifically, in addition to the above fault monitoring, there is also an internal signal BIT monitoring circuit in the weather radar, which monitors whether the overall function of the system is normal through the continuous wave signal CW output by the frequency source, the radio frequency excitation signal RFD output by the solid state amplifier, and the klystron drive signal KD. When the monitoring signal is abnormal, the corresponding fault code is generated. However, the monitoring of these signals and the generation of fault codes have a unique judgment method of weather radar, so in the simulation of this type of fault, the simulation modeling should be based on the principle of weather radar fault alarm generation.

[0119] The weather radar calibration process is mainly reflected in the internal measurement of radio frequency excitation signal RFD, radio frequency drive signal KD and radio frequency continuous wave signal CW, which uses the known amplitude or power to monitor the main links of the receiver and transmitter. In some embodiments, the fault alarm modeling based on the echo calibration process includes the following three ways.

[0120] The first is the monitoring and measurement of the RFD signal. The collection distance is fixed at 44 km, and -70 dBm, -57 dBm and -34 dBm power RFD signals are injected from the receiver front end before each body scan, and the first difference ΔdBZ is defined RDFi is the first difference of the measured values of the three RFD signals and the target value, and the first error is calculated based on the first difference. The corresponding RFD signal at 44 km, the transmission power, and the radar adaptation parameters are used to calculate the corresponding echo target value of the RFD. The specific calculation method of the first error is as follows:

[0121]

[0122] The second is the calibration and measurement of the continuous wave CW signal. The collection distance is 5-139 km, and the distance is cycled and stepped (step size is 1 km) with the distance. According to the fixed -62 dBm continuous wave signal injected from the receiver front end each time, the target value at each distance point is calculated according to the formula at the beginning of each body scan (-62 dBm measured transmission power participating in real-time correction, radar parameter calculated in the adaptation parameter), and compared with the corresponding measured value collected by the terminal at the same distance, thereby calculating the second difference ΔdBZ CW to calibrate the measurement error of the echo intensity, obtain the second error CW_ERROR, and then compare the size of CW_ERROR with the threshold to generate a corresponding fault alarm. The specific calculation formula of CW_ERROR is as follows

[0123]

[0124] The third is the calibration and measurement of the klystron drive signal KD. The KD signal is output from the klystron, coupled to the monitoring signal of the calibration fault link through the coupler, and attenuated to obtain three KD signals of given intensity, represented by KD1, KD2 and KD3, through the attenuator. The corresponding measured value of the terminal collected signal is compared with the theoretically calculated value, thereby calculating the third difference ΔdBZ KD to calibrate the measurement error of the echo intensity, obtain the third KD_ERROR, and then compare the size of KD_ERROR with the threshold to generate a corresponding fault alarm.

[0125]

[0126] Embodiment 2: Weather radar component simulation

[0127] Based on the weather radar system fault simulation method provided in embodiment 1, this embodiment provides a specific example of weather radar transmitter trigger and filament power supply component simulation and fault modeling.

[0128] 1) Trigger

[0129] The trigger mainly functions to generate the trigger pulse of the pulse switch tube in the modulation assembly 3A8, and has the protection function of the modulation assembly 3A8, and provides two groups of +20V power supply which are isolated from the public end of the transmitter for the charging switch assembly. Figure 4 As shown in the modeling schematic diagram of the weather radar trigger simulation assembly provided by the embodiment of the application, according to the radar assembly modeling model of embodiment 1, the input power signal, the main function input signal, the main function output signal, the state input signal, the state output signal and the fault monitoring output signal of the trigger simulation modeling. The signal specific definition is shown in Table 1.

[0130] Table 1 Input / output interface of trigger simulation assembly

[0131] No. Name Signal ID In / Out Type 1 Negative peak current sample CHGCURSample Input Status input signal 2 Modulator primary pulse current MODPulseCURSamp Input Status input signal 3 Trigger enable TRIGAMPEN Input Main function input signal 4 Discharge trigger MODischarge Input Main function input signal 5 5V power supply V_5 Input Power signal 6 -15V power supply V_N15 Input Power signal 7 220V power supply V_220 Input Power signal 8 200V voltage fault V_200FLT Output Fault monitoring output signal 9 Negative peak charging fault MODINVCURFLT Output Fault monitoring output signal 10 Modulator overload fault MODOverFLT Output Fault monitoring output signal 11 20V voltage status V_20 Output Status output signal 12 Silicon controlled trigger pulse SCRDisCHGPL Output Main function output signal 13 Negative peak current sample ZP2 Output Status output signal 14 Primary pulse current ZP3 Output Status output signal 15 Amplified trigger pulse ZP4 Output Status output signal

[0132] The trigger simulation assembly control parameters are shown in Table 2, wherein the anti-peak current fault threshold, the primary pulse current fault threshold and the 200V voltage fault threshold are fault setting thresholds, which can be flexibly configured by software; when the anti-peak current, the primary pulse current and the 200V voltage are lower than the threshold, the corresponding fault will be generated in the fault modeling function implementation; and the pulse primary current sampling reduction multiple and the anti-peak current sampling reduction multiple are control parameters for setting the output values of the pulse primary current and the anti-peak current. After the trigger modeling, the parameters can be flexibly controlled. When the pulse primary current fault and the anti-peak current sampling fault need to be simulated, the parameters can be set.

[0133] In addition, the main function simulation function FunctionOut_signal of the trigger simulation assembly will establish the fault relationship between the primary pulse current, the anti-peak current and the power input voltage. When the pulse primary current or the anti-peak current signal fault or the power 220V input is abnormal, the main function output signal, the silicon controlled trigger pulse, will not be output, and without the trigger pulse will cause the pulse modulator, the filament power assembly and other components to fail to work normally, resulting in the subsequent chain fault.

[0134] Table 2 Control parameters of trigger simulation assembly

[0135] Parameter Signal ID Value 200V pulse timing width μ_SCR Typical value: 6e-6s Negative peak current fault threshold NegInvCurrent_TH Typical value: 100A Primary pulse current fault threshold ModPulseCurrent_TH Typical value: 10A 200V voltage fault threshold V_TH Typical value: 200V 220V bridge voltage divider Vol_divider Typical value: 20V Set ZP4 voltage amplitude V_ZP4 Typical value: -200V Increment time SampTime Typical value: 1 / 8e6s Set period time T Typical value: 1e-3s Set ZP4 pulse width μ_ZP4 Typical value: 5e-6s Set SCR voltage amplitude V_SCR Typical value: 200V Pulse primary current sample reduction ratio SampRatio_Pulse Typical value: 0.01 Negative peak current sample reduction ratio SampRatio_FCUR Typical value: 0.01

[0136] Figure 5 The modulator anti-peak current sampling waveform (a) and the modulator primary pulse current sampling waveform (b) of the trigger simulation assembly simulation output are given; Figure 6 The modulator anti-peak current sampling waveform (a) and the modulator primary pulse current sampling waveform (b) of the real measurement of the radar assembly are given; the two have good consistency.

[0137] 2) Filament power assembly simulation modeling

[0138] The filament power supply is an alternating current stabilized power supply, which provides power for the klystron filament through the transformer in the middle of the filament in the oil tank, the pulse transformer and the filament transformer. As shown in Figure 7 Fig. 2, according to the radar assembly modeling model of embodiment 1, the input power signal, the main function input signal, the main function output signal, the state input signal, the state output signal and the fault monitoring output signal of the filament power supply simulation modeling. The signal specific definition is shown in Table 3.

[0139] Table 3 Input / output signals of filament power supply simulation assembly

[0140]

[0141]

[0142] The filament power supply simulation assembly is shown in Table 4, in which the chopper capacitor, inductance, resistance, capacitance and inductance of the filament power supply, and the charging trigger, synchronous trigger, enable control signal, power distribution 380V signal, power signal are all established through the main function simulation function FunctionOut_signal with the filament voltage, current output, filament power supply overvoltage, filament power supply undervoltage, filament power supply overcurrent, filament power supply undercurrent and other output signals. The change of these signals will cause the change of the power and current output values, or even no output.

[0143] Table 4 Control parameters of filament power supply simulation assembly

[0144] Parameter Variable Value Rectification transformation ratio n Typical value: 0.789 Filter resistance R Typical value: 50 Sampling rate SampleRate Typical value: 2.4e6 Ripple noise VNoise Typical value: 0.05V Duty cycle DutyCycle Typical value: 25 Chopper capacitor Chopper_C Typical value: 5e-3H Chopper inductance Chopper_L Typical value: 50e-3F Pulse repetition period PRT Typical value: 1e-3s Conduction time Ton Typical value: 0.75e-3s Fillet power supply resistance Fila_R Typical value: 200 Fillet power supply capacitor Fila_C Typical value: 5e-3H Fillet power supply inductance Fila_L Typical value: 50e-3F

[0145] Figure 8 The filament power supply simulation assembly simulation output waveform is shown, including the filament synchronous trigger wave (a) and the filament chopping waveform (b), Figure 9 The filament power supply assembly real measurement waveform is shown, including the filament synchronous trigger wave (a) and the filament chopping waveform (b), which is Figure 8 and Figure 9 It can be seen that the two have good consistency.

[0146] Example 3: Weather radar fault link and fault alarm simulation

[0147] Based on the weather radar system fault simulation method provided in embodiment 1, this embodiment provides a specific example of weather radar transmitter trigger and filament power supply assembly simulation and fault modeling.

[0148] The weather radar transmitter, receiver, antenna feeder and monitor have hundreds of alarm codes. Figure 10 and Figure 11 The transmitter and receiver alarm fault code display page in the radar simulation system is shown in the figure, which shows part of the transmitter and receiver alarm codes.

[0149] In Figure 10 the alarm codes 51, 65, 74, 81, 200, etc. are alarm codes for voltage, current and power measurement, and the simulation process is performed according to formula (7) for alarm modeling and simulation. Alarm codes 53, 61, 66, 70, etc. are alarm codes according to formula (8) for alarm modeling and simulation.

[0150] As Figure 11 shown, alarm codes 523, 533, 527, 483, 486, 481, etc. are simulated according to the fault alarm simulation modeling of the weather radar calibration process.

[0151] This embodiment gives a specific case of weather radar transmitter filament power supply fault link and fault alarm simulation, weather radar receiver main channel and calibration link simulation.

[0152] (1) Weather radar transmitter filament power supply fault link and fault alarm simulation case

[0153] As Figure 12 shown, a weather radar filament fault link simulation block diagram is provided for the embodiment of the application. The transmitter filament power supply fault link simulation is mainly composed of filament power supply simulation components, intermediate transformer simulation components, pulse transformer simulation components, klystron simulation components, receiver interface board simulation components, monitoring simulation components, power distribution simulation components and power supply simulation components, etc.

[0154] The transmitter modulator fault simulation mainly simulates filament power supply overvoltage fault, filament power supply undervoltage fault, filament power supply overcurrent fault and filament power supply undercurrent fault.

[0155] When the synchronization trigger signal or control enable signal fault of the receiver interface board occurs, the filament power supply simulation component main function output signal, the filament voltage and current output, will not be output, and at the same time the filament power supply undercurrent and undervoltage signal output values are 0, at this time the monitoring simulation component monitors the two signals to be 0, and the filament power supply fault is simulated to be output. According to the weather radar fault alarm simulation method based on signal flow, it is judged that the current or voltage value is lower than the threshold value, and the filament power supply voltage fault is simulated to be output, and its corresponding alarm code is 53.

[0156] Similarly, when the 15V or 28V or 5V power supply of the power supply simulation component has no output, the filament simulation component also cannot work normally, and the filament voltage and current output also have no output, and simultaneously the filament power supply undercurrent and under-voltage state signal output values are 1, at this time the monitoring simulation component monitors the two signals as 1, and simulates the filament power supply undercurrent fault and the filament power supply under-voltage fault. According to the weather radar fault alarm simulation method based on signal flow, it is judged that the current or voltage value is lower than the threshold value, and the filament power supply voltage fault is simulated and output, and the corresponding alarm code is 53.

[0157] When the values of the filament power supply capacitor, resistor and inductor are adjusted, the main function output signal, the filament voltage and current output, is increased and exceeds the threshold value, and simultaneously the filament power supply overcurrent signal output value is 1, and the filament current overcurrent fault occurs. According to the weather radar fault alarm simulation method based on signal flow, it is judged that the current value is higher than the threshold value, and the klystron filament current fault is simulated and output, and the corresponding alarm code is 81.

[0158] When the filament voltage has no output or overvoltage, the launcher will be protected, the pulse modulator cannot generate high-voltage pulses, and finally the klystron cannot work normally and the output power is abnormal.

[0159] (2) Weather radar main channel and calibration link and fault alarm simulation case

[0160] As shown in Figure 13 , it is a weather radar receiver main channel and calibration link simulation block diagram provided by the embodiment of the application. The receiver calibration link comprises an RF four-bit switch, a digital controlled attenuator, a noise source and the like, and the receiver main channel link is composed of a directional coupler, a receiver protector, a receiver low-noise amplifier, a digital intermediate frequency before mixing and the like simulation components. A frequency source generates a continuous wave test signal CW and a radio frequency excitation signal in a calibration process, a transmitter solid-state amplifier amplifies the frequency excitation signal, and a road RFD signal is output to the calibration link as a fault detection signal of the amplification link.

[0161] When the RFD signal is used for calibration and fault monitoring, the four-bit switch control is adjusted, the RFD signal is connected to the directional coupler, then passes through the receiver protector, the low-noise amplifier and the digital intermediate frequency to produce I / Q signals to the RDA computer, and then the signals are processed to calculate dBZ RFDi ; three times of adjusting the attenuator to different attenuation amounts generate dBZ RFD1 , dBZ RFD2 , dBZ RFD3 , then respectively calculate ΔdBZ RFDi , and finally calculate RFD_ERROR.

[0162] The alarm judgment process is: judging whether RFD_ERROR exceeds the adaptive parameter, if exceeding the threshold, judging that the radar system appears 523 fault, the mathematical expression is as follows

[0163]

[0164] Wherein 2dB is the fault threshold of RFD_ERROR, when RFD_ERROR is greater than 2dB, the radar simulation fault alarm code is 523, as shown in the formula (1), the 523 code corresponds to the name of linear channel RF excitation signal being bad. The maintenance personnel can directly judge from the alarm code that the RFD link may appear fault. Figure 11

[0165] Similarly, when using the CW signal to calibrate and monitor the fault, adjust the four-position switch control, control the CW signal to be connected to the qualitative coupler, then pass through the receiver protector, low noise amplifier, digital intermediate frequency to produce I / Q signal to the RDA computer, and then pass through signal processing, calculate ΔdBZ CW ; When calibrating the echo intensity, adjust the attenuation amount of the attenuator, and output the signal to-62dBm, thus generating ΔdBZ CW Then, according to the RFD calibration process, the calculated ΔdBZ RFDi , and finally calculate &CW_ERROR.

[0166] The alarm judgment process is: judging whether CW_ERROR exceeds the adaptive parameter, if exceeding the threshold, judging that the radar system appears 527 fault, the mathematical expression is as follows

[0167]

[0168] Wherein 2dB is the fault threshold of CW_ERROR, when &CW_ERROR is greater than 2dB, the radar simulation fault alarm code is 527, as shown in the formula (2), the 527 code corresponds to the name of linear channel test signal being bad. The maintenance personnel can directly judge from the alarm code that the CW link may have test signal fault. Figure 11

[0169] The above embodiments are only used to illustrate the present application, and are not limited to the present application. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present application, therefore all equivalent technical solutions also belong to the scope of the present application, the patent protection scope of the present application should be limited by the claims.​​

Claims

1. A method for simulating faults in a weather radar system, characterized in that, The method includes: Driven by the input signal of the radar component input interface, a mathematical model of the radar component is established according to the functional and performance requirements of the actual radar component, and a radar simulation component is generated. The output signal of the radar simulation component output interface is consistent with the actual radar component in terms of frequency, waveform, level and power. The radar simulation component sets a parameter interface, and the internal functions and output signals of the component are adjusted through the parameter interface to realize fault setting. Based on the radar simulation component, a main link is formed by connecting components according to the radar link structure to form a complete signal flow. A fault monitoring component and a fault acquisition component are added to the main link to form a fault link. The fault link obtains the fault signals of the components in the main link through the fault acquisition component and transmits them to the fault monitoring component. The fault monitoring component performs control operations on the radar simulation component of the main link according to the fault signals. Based on the fault signal output by the faulty link, corresponding fault alarm codes are generated through the voltage / current / power out-of-range alarm model, the component fault monitoring signal abnormal alarm model, and the radar calibration process fault alarm model, respectively.

2. The weather radar system fault simulation method as described in claim 1, characterized in that, The input signals of the radar component input interface include power signal, main function input signal and status input signal; the output signals include main function output signal, status output signal and fault monitoring output signal. The mathematical model of the radar component is expressed as follows: Where f x (), f s (), f m () represent the mathematical functions of the main function output signal FunctionOut_signal, the status output signal StatusOut_signal, and the fault monitoring signal FaultMOut_signal, respectively; FunctionIn_signal represents the main function input signal from other radar components to the current radar component, PowerIn_signal represents the power input signal, StatusIn_signal is the input status or control signal of the component, and Parameter is the control parameter of the radar simulation component; InterStatus is the internal state variable in the simulation mathematical modeling process, which is the modeling function f of the main function output signal. x The output signal of () is sent as an input signal to f. s (), f m In the function, N1, N2, N3, N4, N5, N6, N7, and N8 correspond to the number of signals, respectively.

3. The weather radar system fault simulation method as described in claim 1, characterized in that, The fault signals include associated fault signals, direct fault signals, and power fault signals; wherein: The associated fault signal is a digital signal obtained by other radar simulation components that have a synchronization relationship with a radar simulation component when a radar simulation component in the main link fails, receiving the error status information and transmitting it to the fault acquisition component, and then converting it. The direct fault signal is the fault digital signal directly output when a radar simulation component in the main link fails. The power fault signal is a signal collected by the power monitor and transmitted to the fault acquisition component when the power output signal of the main link is abnormal.

4. The weather radar system fault simulation method as described in claim 3, characterized in that, The expression for the associated fault signal is: FaultSignal[Fc:N1]= f d (StatusOut_signal[2:N5],StatusIn_signal[1:N4],FaultMOut[1:N6]) (4) Where StatusOut_signal[2:N5] is the status signal output by the radar component, and the numbers 2 and 1 represent the radar component number; StatusIn_signal[1:N4] is the input status signal of radar component 1; FaultMOut[1:N6] is the fault signal output by radar component 1; F is the mathematical function associated with the fault signal; Fc is the fault input analog signal output by radar fault component 1 to the fault acquisition component; FaultSignal[Fc:N1] is the fault judgment result output by the radar acquisition component after analog-digital acquisition of Fc and threshold judgment. A result of 1 indicates a fault, and a result of 0 indicates no fault. The expression for the direct fault signal is: FaultSignal[FM:N1]=f e (FaultMOut[3:N6]) (5) Where FaultSignal[FM:N1] is the fault monitoring signal output by the faulty component, FM is the fault monitoring signal output by the radar component, and FaultMOut[3:N6] is the output result of the direct fault signal of the radar component. A result of 1 indicates a fault, and a result of 0 indicates no fault. e It is a mathematical function of the direct fault signal; The expression for the power fault signal is: FaultSignal[Fc:N1]=f w (PowerMonitor[Pm:N6]) (6) Where f w Here, f is the mathematical function for the power fault signal, PowerMonitor[Pm:N6] is the monitoring signal from the power monitor, Pm is the radar monitoring power value, and f is the mathematical function for the power fault signal. w The radar monitoring power value Pm is judged. If it is lower than the set threshold, the radar N1 is judged to be faulty and the fault signal FaultSignal[Fc:N1] is output.

5. The weather radar system fault simulation method as described in claim 1, characterized in that, The expression for the voltage / current / power out-of-range alarm model is: Where V is the voltage value, I is the current value, P is the power value, ThresholdV, ThresholdI, and ThresholdP are the fault thresholds for voltage, current, and power, AlarmCode is the radar fault alarm code, and FaultOut is the radar final fault output.

6. The weather radar system fault simulation method as described in claim 1, characterized in that, The expression for the abnormal alarm model of the component fault monitoring signal is: FaultMOut_Signal is the fault status signal, AlarmCode is the fault alarm code, and FaultOut is the radar's final alarm output.

7. The weather radar system fault simulation method as described in claim 1, characterized in that, The radar calibration process fault alarm model includes an echo intensity calibration fault simulation model, which is used to perform fault alarms for the radio frequency excitation signal RFD, the continuous wave signal CW, and / or the klystron drive signal KD; wherein: The fault alarm for the radio frequency excitation signal (RFD) includes: acquiring RFD signals with at least three powers injected at a fixed distance, and calculating the first difference ΔdBZ between the measured value and the target value. RFDi The first error, RFD_ERROR, is used to generate a corresponding alarm code when RFD_ERROR exceeds the first threshold. The fault alarm for the continuous wave signal (CW) includes: acquiring a fixed-power CW signal injected within a preset distance range, and calculating a second difference ΔdBZ between the measured value and the target value. CW And the second error CW_ERROR, when CW_ERROR exceeds the second threshold, a corresponding alarm code is generated; The fault alarm for the klystron drive signal KD includes: acquiring the attenuated KD signal and calculating the third difference ΔdBZ between the measured value and the theoretical value. KD And the third error KD_ERROR, when ΔdBZ KD When the threshold is exceeded, a corresponding alarm code is generated.

8. The weather radar system fault simulation method as described in claim 7, characterized in that, The formula for calculating the first error RFD_ERROR is: Where i represents the power of the RFD signal, and there are a total of three different power RFD signals; The formula for calculating the second error CW_ERROR is: The formula for calculating the third error KD_ERROR is as follows: Where j is the sequence number of the KD1, KD2 and KD3 signals, and j=1 represents the KD1 signal.

9. The weather radar system fault simulation method as described in claim 1, characterized in that, The input signals of the radar simulation component also include at least one of the following: reverse peak current sampling signal, modulator primary pulse current signal, and trigger enable signal; the output signals of the radar simulation component also include at least one of the following: thyristor trigger pulse signal, reverse peak charging fault signal, and modulator overload fault signal.

10. The weather radar system fault simulation method as described in claim 1, characterized in that, The control operations performed by the fault monitoring component on the radar simulation component of the main link include at least one of power failure and input / output switching.

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