A radar operation data collection method based on maintenance service

Abstract

The present application relates to a kind of radar operation data acquisition methods based on maintenance service, comprising: establishing trigger module: analysis monitoring signal type, according to type, complete the input logic configuration of radar operation data acquisition device, form trigger condition;Establish record module: under the trigger record condition, the radar operation data collected by acquisition logic is recorded in storage unit;Establish download module: establish remote upload download channel, implement data download and carry out analysis.The present application establishes the analysis and classification of observation signal, sets the corresponding trigger mechanism, realizes the reasonable trigger component or system operation data record interruption;Then, by analyzing the demand of equipment operation related data, determine specific record data;At the same time, in order to make the operation data download process convenient and easy to operate, so that the operation data collected into warehouse application, establish remote download means using standard interface, so that the data download process is simple and easy to operate, facilitate display and subsequent analysis.

Description

Technical Field

[0001] This invention relates to the field of radar operation data processing, and in particular to a method for acquiring radar operation data based on maintenance operations. Background Technology

[0002] Currently, for ultra-large and complex electronic products such as radar, post-operation analysis methods are mostly used to statistically analyze the data involved in the operation process (which mainly includes six quantifiable and measurable data—reliability, testability, maintainability, safety, environmental adaptability, and supportability indicators; the corresponding definitions can be found in GJB451A Reliability, Maintainability, and Supportability Terminology).

[0003] In equipment maintenance, the lag inherent in the aforementioned methods leads to insufficient data completeness and accuracy, severely hindering data analysis. The inability to reproduce faults, and discrepancies between reproduced faults and actual on-site faults, exacerbates the deficiencies in operational data acquisition, resulting in inaccurate fault location, repeated repairs, and extremely low maintenance efficiency. Furthermore, it necessitates additional non-value-added work such as filtering out anomalies in operational data analysis, significantly impeding the application of radar operational data.

[0004] Equipment operation indicators encompass six quantifiable and measurable characteristics involved in product operation. Statistical analysis is required on the occurrence probability of classified faults, the proportion of maintenance work, fault location accuracy, and bit error rate. Specifically, this involves statistically analyzing fault categories, status categories (working / maintenance / error), working duration, fault duration, maintenance duration, environmental conditions (related to the environment the product needs to operate in, generally including but not limited to input voltage and ambient temperature; for special tasks, humidity, triaxial velocity, and acceleration sensors may be added), fault location alarm rate, and fault location missed alarm rate. Other operation indicators, such as data integrity rate and personnel support capability, are not inherent attributes of the system and therefore lack quantifiability and measurability, thus they can be excluded from the operation data system. Based on this characteristic, element analysis is performed on equipment operation data using algorithms provided in standards such as GJB813-1990 and GJB / Z91-97. This allows for the sampling of specific task categories, task times, and task environment data, thereby calculating the aforementioned six quantifiable and measurable indicators.

[0005] In the operation of large and complex electronic systems, the six performance indicators originate from the real-time status of various devices, require long-term accumulation, and are not suitable for occupying information bandwidth in the data stream. Therefore, they require different acquisition and analysis methods than the main data stream. Since this type of information is distributed throughout the entire electronic system, a reasonable acquisition and analysis method is needed. However, because these indicators are scattered throughout the system, they present difficulties in collection and unified collection and analysis. This has led to the current situation where data collection relies on manual post-event collection, which is clearly insufficient to keep up with the application requirements of operational data and cannot ensure the accuracy, real-time performance, and completeness of data acquisition. Summary of the Invention

[0006] To address the existing technical problems, this invention provides a radar operation data acquisition method based on maintenance operations.

[0007] The specific content of this invention is as follows: A radar operation data acquisition method based on maintenance operations, comprising:

[0008] Establish a trigger module: Analyze the monitoring signal type, complete the input logic configuration of the radar operation data acquisition device according to the type, and form the trigger conditions;

[0009] Establish a recording module: Under the condition of triggering recording, record the radar operation data collected by the acquisition logic into the storage unit;

[0010] Establish a download module: Create a remote upload and download channel to download data and conduct analysis.

[0011] Furthermore, establishing the trigger module includes:

[0012] Signal type analysis: Combining fault tree analysis, signal flow analysis, and other methods, the types of monitored signals are analyzed and classified into three categories: level, pulse, and heartbeat.

[0013] Logic configuration: Configure the signal input logic according to three types of signal parameters and convert it into a fault state circuit.

[0014] Furthermore, the logical configuration includes:

[0015] For signals of the corresponding level type, perform AD conversion, configure upper and lower limit level values, and activate fault status when the AD value exceeds the configured upper and lower limit values;

[0016] For pulse-type signals, the falling edge of the sampled signal is used; a fault state is activated when a falling edge is present.

[0017] For the corresponding heartbeat type signal, synchronous set logic is used to track the heartbeat signal, and a fault state is initiated when the heartbeat stops.

[0018] Level and heartbeat signals can be uniformly transformed into pulse signals through conversion logic, and finally, the pulse signals are uniformly used to trigger fault state transitions.

[0019] Furthermore, a filtering algorithm is applied to the fault state to identify the true fault state. The filtering algorithm used is the M / N rate algorithm, which uses the occurrence of M fault states in N consecutive sampled signals.

[0020] Furthermore, a recording module is established, including:

[0021] Radar operation data acquisition: The fault filtering system outputs a real fault signal. When the state of this signal changes, the radar operation data acquisition function is triggered. Setting the external trigger feature code also triggers the radar operation data acquisition function.

[0022] When the radar operation data acquisition function is triggered, the acquired radar operation data is recorded into the storage unit.

[0023] Furthermore, the collection of radar operation data includes:

[0024] Radar operational data includes data on the corresponding fault source type, time data, and environmental data.

[0025] The fault source type data includes the fault source ID number and maintenance feature code;

[0026] Time data includes long-term data and short-term data. Short-term data is obtained from an internal counter, while long-term data is obtained through system interaction.

[0027] Environmental data includes, but is not limited to, environmental parameters such as power level and ambient temperature related to radar operation.

[0028] Furthermore, establishing the download module includes:

[0029] Establish remote transmission channels, including but not limited to networks, CAN buses, serial and parallel ports, and optical ports;

[0030] Establish module identification ID codes to distinguish different radar operation data acquisition devices in the large system;

[0031] Establish a software command sequence and use commands to perform remote data download;

[0032] Downloaded data can be displayed visually or transferred to a database for organized storage, facilitating subsequent analysis.

[0033] This invention establishes an analysis and classification system for observed signals, sets corresponding triggering mechanisms, and enables reasonable interruption of the recording of component or system operation data. Furthermore, by analyzing the needs of equipment operation-related data, specific recording data is determined. Simultaneously, to make the data download process convenient and easy to operate, and to facilitate the storage and application of the collected operational data, a remote download method using a standard interface is established, making the data download process simple and easy to implement, facilitating display and subsequent analysis. Attached Figure Description

[0034] The specific embodiments of the present invention will be further explained below with reference to the accompanying drawings.

[0035] Figure 1 A diagram illustrating the division of a fault repair cycle time period;

[0036] Figure 2 The flowchart of the radar operation data acquisition method based on maintenance operations of the present invention is as follows. Figure 1 ;

[0037] Figure 3 The flowchart of the radar operation data acquisition method based on maintenance operations of the present invention is as follows. Figure 2 . Detailed Implementation

[0038] Combination Figures 1-3 This invention relates to a radar operation data acquisition method based on maintenance operations. This method is primarily used in complex electronic systems and can be implemented using hardware logic, software programs, or integration methods. The automated radar operation data collection method flow is as follows: Figure 2 As shown, the specific process includes the following steps:

[0039] S1. When an external trigger condition occurs, it needs to be converted into a data acquisition trigger signal, including an external acquisition command and a real fault status signal. The external acquisition command is generally used as an input control command for data acquisition in maintenance status or for self-test data acquisition under this method, and can directly sample the current fault status, current time, and environmental conditions.

[0040] The actual fault status signal originates from the input signal. The input signal can be categorized as a level signal, a pulse signal, or a heartbeat signal. Different types of signals form fault status signals through their respective decision logic.

[0041] To combat noise and interference, as well as the uncertain state when the threshold is exceeded, a filtering algorithm is used to resist interference and obtain the real fault state signal.

[0042] S2. When an external acquisition command is received or the actual fault status changes, the radar operation data acquisition function is triggered.

[0043] When the acquisition function is triggered, the acquisition module records the current trigger status (combination of real fault status and external acquisition command), time, voltage, temperature and other environmental perception data into the acquisition storage unit.

[0044] S3, the external data application interface can implement remote data transmission and application download through the download module.

[0045] In the download module, the application can identify and download data from multiple independent radar operation data acquisition devices through ID codes of common transmission channels such as the general bus.

[0046] In the download module, the application can download the collected data through agreed-upon remote data download commands, thereby enabling data display and various analyses.

[0047] The specific implementation method is as follows:

[0048] Establish a trigger module: Analyze the monitoring signal type, complete the input logic configuration of the radar operation data acquisition device according to the type, and form the trigger conditions;

[0049] Establish a recording module: Under the condition of triggering recording, record the radar operation data collected by the acquisition logic into the storage unit;

[0050] Establish a download module: Create a remote upload and download channel to download data and conduct analysis.

[0051] The triggering module includes:

[0052] Signal type analysis: Combining fault tree analysis, signal flow analysis, and other methods, the types of monitored signals are analyzed and classified into three categories: level, pulse, and heartbeat.

[0053] Logic configuration: Configure the signal input logic according to three types of signal parameters and convert it into a fault state circuit.

[0054] Logical configuration, including:

[0055] For signals of the corresponding level type, perform AD conversion, configure upper and lower limit level values, and activate fault status when the AD value exceeds the configured upper and lower limit values;

[0056] For pulse type signals, the falling edge of the sampled signal is used (if a high level is used to represent a fault, the falling edge can also be set). When a falling edge is present, the fault state is activated.

[0057] For the corresponding heartbeat type signal, synchronous set logic is used to track the heartbeat signal, and a fault state is initiated when the heartbeat stops.

[0058] Considering the effective duration of the fault and to avoid accidental triggering, the trigger recording conditions should be set to have an M / N fault filtering system that reports the real fault multiple times (M is the number of fault reports, N is the number of consecutive samples), and the sampling interval should not be greater than the minimum fault duration to be identified / N.

[0059] Establish a record module, including:

[0060] Radar operation data acquisition: The fault filtering system outputs a real fault signal. When the state of this signal changes, the radar operation data acquisition function is triggered. This module also has an external trigger recording capability. This operation, when the external trigger signature code is set, immediately triggers the radar operation data acquisition function. Under this function, if the external trigger signature code is used as a maintenance code, it also ensures that this method has maintainable data collection capabilities.

[0061] When the radar operation data acquisition function is triggered, the acquired radar operation data is recorded into the storage unit.

[0062] Collect radar operation data, including:

[0063] Radar operational data includes data on the corresponding fault source type, time data, environmental data, etc.

[0064] The type data is represented by a combination of values ​​such as fault source ID number and maintenance feature code;

[0065] Time data is divided into long-term data and short-term data. Short-term data is obtained from an internal counter, while long-term data can be obtained through system interaction.

[0066] Environmental data includes, but is not limited to, environmental parameters such as power level and ambient temperature related to radar operation.

[0067] Create a download module, including:

[0068] To establish a remote transmission channel, methods such as network, CAN bus, serial and parallel ports, and optical ports can be used, but are not limited to.

[0069] Establish a module (LRU) identification ID code to distinguish different radar operation data acquisition devices in the large system;

[0070] Establish a software command sequence and implement remote data download through commands (host computer instructions);

[0071] Downloaded data can be displayed intuitively or transferred to a database for orderly storage, facilitating subsequent analysis.

[0072] Example 2

[0073] This invention provides another feasible method for automated collection of radar operation data, the process of which is as follows: Figure 3As shown, the specific process and Figure 2 They are basically the same, with the main differences being:

[0074] The input signals, including level type and heartbeat type signals, are first converted into pulse signals by a logic conversion module, and then converted by a unified pulse decision logic.

[0075] The radar operation data acquisition method based on maintenance operations of this invention first designs a radar operation data triggering mechanism according to the rules determined by fault tree analysis. Different decision logics are used for different signal types, while signals of the same category have a common decision logic. Through the decision logic, fault states are identified. A filtering algorithm is applied to the fault states to identify the true fault states. Changes in the true fault states trigger acquisition conditions, and based on the analysis requirements of radar operation data, when the acquisition conditions are triggered, radar operation data such as fault markers, time scales, and environmental variables are acquired and recorded in the memory. A remote download channel is established, product parameters and instruction sets are configured, and radar operation data download commands can be sent; based on the radar operation data download commands, data can be downloaded for display and performance analysis.

[0076] By establishing a complete automatic radar operation data acquisition device, fault mechanisms under specified rules can be better analyzed, providing new maintenance guidance for previously unreproducible faults and faults whose reproduced faults do not match the actual on-site faults. The accuracy and completeness of the data acquired by this device avoids the need for additional non-value-added work such as filtering out abnormal data, thus removing obstacles to the application of radar operation data. After obtaining the above data, six performance indicators are statistically analyzed, such as... Figure 1 As shown, this allows for the calculation of metrics such as MTTF (Mean Time To Failure), MTTR (Mean Time To Repair), and MTBF (Mean Time Between Failures).

[0077]

[0078] Based on this, combining environmental data and fault codes can more accurately pinpoint the source of the fault that does not reproduce the problem.

[0079] This method enables real-time acquisition of radar operational data, ensuring data timeliness and integrity. By establishing a complete operational data acquisition device and a corresponding configurable graphical user interface, and automating the acquisition and version upgrade of numerical and temporal indicators, data download and version upgrades can be conveniently achieved without requiring any external components, thus providing a crucial link in building a complete operational database.

[0080] Many specific details have been set forth in the foregoing description to provide a thorough understanding of the present invention. However, the above description is merely a preferred embodiment of the present invention, and the present invention can be implemented in many other ways different from those described herein. Therefore, the present invention is not limited to the specific embodiments disclosed above. Furthermore, any person skilled in the art can make many possible variations and modifications to the technical solutions of the present invention, or modify them into equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the present invention. Any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention, without departing from the content of the present invention, shall still fall within the protection scope of the present invention.

Claims

1. A radar operation data acquisition method based on maintenance operations, characterized in that: include: Establish a trigger module: Analyze the monitoring signal type, complete the input logic configuration of the radar operation data acquisition device according to the type, and form the trigger conditions; Establish a recording module: Under the condition of triggering recording, record the radar operation data collected by the acquisition logic into the storage unit; Establish a download module: Create a remote upload and download channel to download data and conduct analysis; The trigger module includes: Signal type analysis: Combining fault tree and signal flow analysis methods, the types of monitored signals are analyzed and classified into three categories: level, pulse, and heartbeat. Logic configuration: Configure signal input logic based on three types of signal parameters to convert it into a fault state circuit; Logical configuration includes: For signals of the corresponding level type, perform AD conversion, configure upper and lower limit level values, and activate fault status when the AD value exceeds the configured upper and lower limit values; For pulse-type signals, the falling edge of the sampled signal is used; a fault state is activated when a falling edge is present. For the corresponding heartbeat type signal, synchronous set logic is used to track the heartbeat signal, and a fault state is initiated when the heartbeat stops.

2. The radar operation data acquisition method based on maintenance operations according to claim 1, characterized in that: Level and heartbeat signals can be uniformly transformed into pulse signals through conversion logic, and finally, the pulse signals are uniformly used to trigger fault state transitions.

3. The radar operation data acquisition method based on maintenance operations according to claim 1, characterized in that: A filtering algorithm is used to identify the true fault state. The filtering algorithm used is the M / N rate algorithm, which uses the occurrence of M fault states in N consecutive sampled signals.

4. The radar operation data acquisition method based on maintenance operations according to claim 1, characterized in that: Establish a record module, including: Radar operation data acquisition: The fault filtering system outputs a real fault signal. When the state of this signal changes, the radar operation data acquisition function is triggered. The radar operation data acquisition function is also triggered when the external trigger feature code is set. When the radar operation data acquisition function is triggered, the acquired radar operation data is recorded into the storage unit.

5. The radar operation data acquisition method based on maintenance operations according to claim 4, characterized in that: The radar operation data collected includes: Radar operational data includes data on the corresponding fault source type, time data, and environmental data. The fault source type data includes the fault source ID number and maintenance feature code; Time data includes long-term data and short-term data. Short-term data is obtained from an internal counter, while long-term data is obtained through system interaction. Environmental data includes, but is not limited to, power level values ​​and ambient temperature values ​​related to radar operation.

6. The radar operation data acquisition method based on maintenance operations according to claim 1, characterized in that: The download module includes: Establish remote transmission channels, including but not limited to networks, CAN buses, serial and parallel ports, and optical ports; Establish module identification ID codes to distinguish different radar operation data acquisition devices in the large system; Establish a software command sequence and use commands to perform remote data download; Downloaded data can be displayed visually or transferred to a database for organized storage, facilitating subsequent analysis.

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