Embedded autonomous fault monitoring and abnormal data recording device for detector
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A technology of abnormal data and fault monitoring, which is applied in the direction of instruments, simulators, computer control, etc., can solve the problem that the simultaneous realization of independent monitoring and recording of abnormal conditions cannot be achieved, and achieve the effect of easy function
Active Publication Date: 2013-05-01
成都川哈工机器人及智能装备产业技术研究院有限公司
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[0005] The purpose of the present invention is to propose a detector embedded autonomous fault monitoring and abnormal data recording device, as the load of space and ocean detectors, the device will complete the monitoring of the detector's operating environment and its own faults, and the high-speed and accurate monitoring of specific data , long-term, large-capacity recording tasks, to solve the problem that the current space and ocean probes are still unable to complete independent monitoring and record abnormal conditions at the same time
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specific Embodiment approach 1
[0018] Specific implementation mode one: combine figure 1 Describe this embodiment, this embodiment comprises embedded controller 1, external standard bus interface 2 and memory 3;
[0019] The embedded controller 1 includes a data preprocessing function module 11, a typical detector system model module 12, a signal processing and feature extraction algorithm module 13 and a peripheral device interface module 14;
[0020] The data preprocessing function module 11 is used to perform integrated data preprocessing of the measurement data before the obtained measurement data is identified and analyzed. The integrated data preprocessing is to extract, organize and process the obtained measurement data. transform, thereby generating preprocessed data for use by the representative detector system model module 12;
[0021] Wherein, the algorithm adopted in the integrated data preprocessing in the data preprocessing function module 11 includes linear interpolation algorithm, spline in...
specific Embodiment approach
[0034] Execute step 1: select the mode of sliding data window from data preprocessing function module 11 to carry out data integration data preprocessing; The signal that gathers is integrated in the data window that contains N=64 data points with first-in-first-out mode, The data in the data window is updated sequentially over time, but its data length remains unchanged;
[0035] Execution step 2: select a Monte Carlo model from the typical detector system model module 12, and use a model-based diagnostic algorithm to identify abnormalities;
[0036] Consider this signal has the following mathematical model:
[0037] x(k+1)=Ax(k)+Bu(k)+v(k)+f(k) (1)
[0038] Among them, the coefficient matrices A and B are known, u(k) is a known control signal, v(k) is a zero-mean white noise signal, and f(k) is an unknown fault signal. The initial value x(0) of the signal is known; the Monte Carlo model can be selected from the typical detector model library as the reference model of the s...
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Abstract
The invention discloses an embedded autonomous fault monitoring and abnormal data recording device for a detector, which relates to the technical field of detector safety monitoring and aims to solve the problem that traditional space and ocean detectors are not capable of simultaneously realizing autonomous monitoring and abnormal condition recording. The embedded autonomous fault monitoring andabnormal data recording device for the detector comprises a data preprocessing function module, a typical detector system model module, a signal processing and feature extraction algorithm module, a peripheral equipment interface module and a storage, wherein the data preprocessing function module is used for performing integrated data preprocessing on measured data, thereby, preprocessing data for the typical detector system model module to use are generated; the typical detector system model module is used for obtaining a symptom signal for reflecting abnormal phenomena, and then, triggering the signal processing and feature extraction algorithm module through the symptom signal; the signal processing and feature extraction algorithm module is used for performing feature extraction on the symptom signal; the input-output end of the peripheral equipment interface of the peripheral equipment interface module is simultaneously connected with the input-output end of an external standardbus interface and the input-output end of the storage; and the storage is used for recording abnormal data. The embedded autonomous fault monitoring and abnormal data recording device for the detector is applied to the space and ocean detectors, and is capable of achieving the goal of performing high-speed, long-term and high-capacity accurate recording on the data.
Description
technical field [0001] The invention relates to the technical field of detector safety monitoring, in particular to a detector embedded autonomous fault monitoring and abnormal data recording device. Background technique [0002] With the development of space, ocean and other technologies, the number of deep space and deep sea exploration missions is increasing, and higher requirements are put forward for the safe and reliable operation of detectors. Space and ocean detectors are large-scale and complex systems. The complexity of their own structures and the harsh space environment can easily lead to abnormal operation of detectors or system failures. Currently, there is very limited understanding of anomalous information about detector failures. Therefore, it is necessary to conduct real-time anomaly monitoring on detectors and record anomaly data autonomously, so as to provide important information for detector fault elimination and future detector design. [0003] Exist...
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