An Industrial Alarm System Based on Historical Data
A technology of alarm system and historical data, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of not considering the influence of system structure monitoring variables, inability to accurately describe the system operating state, and a single form of process data description, etc. It can achieve the effect of small calculation amount, lightening workload, and ensuring security and reliability.
Active Publication Date: 2018-04-10
锐创理工科技(大连)有限公司
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[0005] At present, there are also some deficiencies in the research on industrial alarm systems: First, when designing the alarm system, the process data is mostly assumed to be Gaussian distribution data, without considering the influence of the system structure on the monitoring variables, and the description form of the process data is too single, which cannot Accurately describe the operating state of the system; second, when the filter method is used to design the alarm system, the objective function is mostly in the form of multiple integrals, and the optimization method is complicated
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[0024] Specific embodiments of the present invention will be described in detail below in conjunction with technical solutions and accompanying drawings.
[0025] The steps adopted by the industrial alarm system based on historical data of the present invention are as exemplified in the following embodiments, but are not limited to the following embodiments.
[0026] (1) Data classification
[0027] Select a piece of historical data with sampling information before and after the system failure from the factory distributed control system database According to the changes in the mean and variance of the sampled data when a fault occurs, the data is divided into "normal" data and "faulty" data. The data classification steps are shown in Table 1.
[0028] Table 1 Data classification steps
[0029]
[0030]
[0031] (2) Wavelet filtering
[0032] Both the normal data and the fault data are divided into high-frequency and low-frequency parts by wavelet filter. The low-fr...
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The invention belongs to the field of alarm technology application, and relates to an industrial alarm system based on historical data. According to the change of the mean value and the variance of sampling data when faults happen, data is divided into ''normal'' data and ''fault'' data; the data is independently divided into two parts including high frequency and low frequency by a wavelet filter, and the probability density distribution of the data is estimated; the probability distribution characteristic of the filtered data is analyzed to obtain the calculation method of a FAR (False Alarm Rate) and a MAR (Miss Alarm Rate), and a target function about a false alarm probability and a miss alarm probability is established; and finally, connection between a filter window order n and alarm indexes FAR, MAR and ADD (Average Detect Delay) is analyzed to obtain the filter order n and an alarm system threshold value xtp in the alarm system. The method has a small calculated amount, reduces a great quantity of miss alarms, simultaneously inhibits the frequency of the miss alarms, greatly lightens the working load of operators and guarantees the safety and the reliability of system operation.
Description
technical field [0001] The invention belongs to the application field of alarm technology and relates to an industrial alarm system based on historical data. Background technique [0002] At present, environmental issues are receiving more and more attention. Any major factory accident will cause serious pollution to the surrounding water, air and land environment. Effective process monitoring and alarm management have become important issues facing industrial production. In the actual production process, the occurrence of a fault will cause a chain reaction, and the monitoring system will receive a large amount of alarm information. Establishing an alarm management system that can effectively reduce false alarms and missed alarms is crucial to improving production capacity and ensuring production safety. [0003] In 1998, Bransty Automation Co., Ltd. put forward a research report on health and safety production. The report proved the value of improving the alarm system by i...
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IPC IPC(8): G06F19/00
CPCG06F2219/10G16Z99/00
Inventor 夏浩杨希珞
Owner 锐创理工科技(大连)有限公司