阅读说明：本技术 一种催化燃烧式甲烷传感器异常数据识别分析方法及系统 (Catalytic combustion type methane sensor abnormal data identification and analysis method and system ) 是由 连振中 于 2019-10-29 设计创作，主要内容包括：本发明公开了一种催化燃烧式甲烷传感器异常数据识别分析方法,其特征在于,包括如下步骤：步骤S10：周期性获取原始测量值；步骤S11：分析正常的原始测量值增幅变化规律；步骤S12：根据原始测量值增幅变化判断催化燃烧式甲烷传感器数据是否异常。本发明针对现有的方法多数只能识别催化燃烧式甲烷传感器黑白元件断丝所引起的数据异常的技术缺陷,通过提出一种催化燃烧式甲烷传感器异常数据识别分析方法及系统,从整体上能够有效的解决现有的催化燃烧式甲烷传感器冒大数引起的误报警事故,彻底解决传统方法仅能识别催化燃烧式甲烷传感器黑白元件断丝引起的数据异常的局限。(The invention discloses a catalytic combustion type methane sensor abnormal data identification and analysis method which is characterized by comprising the following steps: step S10: periodically acquiring an original measured value; step S11: analyzing the normal amplification change rule of the original measured value; step S12: and judging whether the data of the catalytic combustion type methane sensor is abnormal or not according to the amplification change of the original measured value. The invention aims at the technical defect that most of the existing methods can only identify the abnormal data caused by the broken filaments of the black and white elements of the catalytic combustion type methane sensor, and provides a method and a system for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor, so that the false alarm accidents caused by the large number of broken filaments of the existing catalytic combustion type methane sensor can be effectively solved on the whole, and the limitation that the traditional method can only identify the abnormal data caused by the broken filaments of the black and white elements of the catalytic combustion type methane sensor is thoroughly solved.)

1. A catalytic combustion type methane sensor abnormal data identification and analysis method is characterized by comprising the following steps:

step S10: periodically acquiring an original measured value;

step S11: analyzing the normal amplification change rule of the original measured value;

step S12: and judging whether the data of the catalytic combustion type methane sensor is abnormal or not according to the amplification change of the original measured value.

2. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor as recited in claim 1, wherein the raw measurement value in the step S10 is an environmental methane concentration value obtained by sampling, filtering and calculating the catalytic combustion type methane sensor.

3. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor according to claim 1, wherein the step S10 specifically comprises: the single chip microcomputer periodically samples the output signals of the black-white element of the catalytic combustion methane sensor, filters a plurality of continuous sampling results to obtain an average value, and finally multiplies the average value by a certain proportionality coefficient to obtain an original measurement value.

4. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor according to claim 3, wherein the proportionality coefficient is obtained by calibrating the catalytic combustion type methane sensor, and the specific method comprises the following steps: the initial methane concentration y1 is 0, the zero AD value of the black and white element signal of the catalytic combustion type methane sensor in the air after being sampled and filtered by the CPU is recorded and set as x1, and then 2.00 percent of CH is introduced₄The concrete concentration of the standard methane gas sample is set as y2, the stable calibration point AD value when the standard gas sample is introduced is recorded and set as x2, and the two groups of recorded data are substituted into the formula according to the formulay = k x + b, i.e.:

y1= k × x1+ b; y2= k × x2+ b; and k and b are calculated to be the proportionality coefficients.

5. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor according to claim 1, wherein the step S20 specifically comprises: after the catalytic combustion type methane sensor is electrified, the catalytic combustion type methane sensor is preheated in the air for 15 minutes, then methane gas close to the maximum range concentration is introduced into the catalytic combustion type methane sensor according to the flow rate of 300mL/min, and simultaneously, the original measurement value output by the catalytic combustion type methane sensor is recorded.

6. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor according to claim 5, wherein the step S20 further comprises: the increase between two adjacent raw measurements is calculated and the maximum increase is found.

7. The method for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor according to claim 6, wherein the step S20 further comprises: and after the maximum amplification is found, observing the amplification change after the maximum amplification occurs, and determining the amplification degree at the moment of 3 seconds after the maximum amplification occurs.

8. A catalytic combustion type methane sensor abnormal data identification and analysis system is characterized by comprising: the original measured value acquisition module is used for acquiring the methane content in the environment; the module for analyzing the amplitude change rule of the original measured value is used for finding out a normal amplitude upper limit and an amplitude lower limit within 3 seconds after the normal amplitude reaches the upper limit; and the abnormal data identification module is used for identifying whether the measured value is abnormal data.

Technical Field

The invention relates to a catalytic combustion type methane sensor abnormal data identification and analysis method and system, and belongs to the technical field of environmental safety monitoring.

Background

The gas (main component methane) disasters of the coal mine occur occasionally, so that the lives of underground personnel are threatened, mine facilities are destroyed, the production of a mine is forced to stop, and a large amount of manpower and material resources are required to be invested for emergency rescue and relief work. Therefore, methane detection accuracy is critical to prevent gas accidents. The existing catalytic combustion type methane sensor is easy to cause the problems that the black and white element measuring bridge of the sensor is unbalanced due to the phenomena of water inlet, long-time vibration, impact or drop of the sensor and the like in the environment with gas, so that the phenomenon of 'large number of false alarms' is caused, and the problem is always difficult to solve. The noun explains: the monitoring of flammable and explosive gases such as methane and the like is the core of coal mine safety production, and the phenomenon of false alarm of a sensor caused by various interferences is commonly caused in a monitoring system.

Most of the existing methods can only prevent or identify data abnormity caused by the broken filaments of black and white elements of the catalytic combustion type methane sensor.

Disclosure of Invention

The technical problem to be solved by the invention is to overcome the defects of the prior art, and provide a catalytic combustion type methane sensor abnormal data identification and analysis method which is characterized by comprising the following steps:

step S10: periodically acquiring an original measured value;

step S11: analyzing the normal amplification change rule of the original measured value;

step S12: and judging whether the data of the catalytic combustion type methane sensor is abnormal or not according to the amplification change of the original measured value.

In a preferred embodiment, the raw measurement value in step S10 is an environmental methane concentration value obtained by sampling, filtering and calculating the catalytic combustion methane sensor.

As a preferred embodiment, the step S10 specifically includes: the single chip microcomputer periodically samples the output signals of the black-white element of the catalytic combustion methane sensor, filters a plurality of continuous sampling results to obtain an average value, and finally multiplies the average value by a certain proportionality coefficient to obtain an original measurement value.

As a preferred embodiment, the scaling factor is obtained by calibrating the sensor, and the specific method is as follows: the initial methane concentration y1 is 0, the zero AD value of the black and white element signal of the catalytic combustion type methane sensor in the air after being sampled and filtered by the CPU is recorded and set as x1, and then 2.00 percent of CH is introduced₄The concrete concentration of the left and right standard methane gas samples is set as y2, the stable calibration point AD value when the standard gas samples are introduced is recorded as x2, and the two recorded groups of data are substituted into a formula y = k x + b according to a formula, namely:

y1= k × x1+ b; y2= k × x2+ b; and k and b are calculated to be the proportionality coefficients.

As a preferred embodiment, the step S20 specifically includes: after the catalytic combustion type methane sensor is electrified, the catalytic combustion type methane sensor is preheated in the air for 15 minutes, then methane gas close to the maximum range concentration is introduced into the catalytic combustion type methane sensor according to the flow rate of 300mL/min, and simultaneously, the original measurement value output by the catalytic combustion type methane sensor is recorded.

As a preferred embodiment, the step S20 specifically further includes: the increase between two adjacent raw measurements is calculated and the maximum increase is found.

As a preferred embodiment, the step S20 specifically further includes: and after the maximum amplification is found, observing the amplification change after the maximum amplification occurs, and determining the amplification degree at the moment of 3 seconds after the maximum amplification occurs.

The invention also provides a catalytic combustion type methane sensor abnormal data identification and analysis system, which is characterized by comprising the following components: the original measured value acquisition module is used for acquiring the methane content in the environment; the module for analyzing the amplitude change rule of the original measured value is used for finding out a normal amplitude upper limit and an amplitude lower limit within 3 seconds after the normal amplitude reaches the upper limit; and the abnormal data identification module is used for identifying whether the measured value is abnormal data.

The invention achieves the following beneficial effects: aiming at the technical defect that most of the existing methods can only identify the data abnormity caused by the broken filaments of the black and white elements of the catalytic combustion type methane sensor, the invention provides the method and the system for identifying and analyzing the abnormal data of the catalytic combustion type methane sensor, so that the false alarm accident caused by the large number of the broken filaments of the black and white elements of the existing catalytic combustion type methane sensor can be effectively solved on the whole, and the limitation that the traditional method can only identify the data abnormity caused by the broken filaments of the black and white elements of the catalytic combustion type methane sensor is thoroughly solved.

Drawings

FIG. 1 is an overall flow chart of the present invention.

Fig. 2 is a detailed flow chart of a preferred embodiment of the present invention.

Detailed Description

The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.

As shown in FIG. 1, the invention provides a catalytic combustion type methane sensor abnormal data identification and analysis method, which is characterized by comprising the following 3 steps.

Step S10: periodically acquiring an original measured value; the raw measurement value in step S10 is an environmental methane concentration value obtained by sampling, filtering and calculating the catalytic combustion methane sensor.

Subtracting the last original measured value from the new original measured value to obtain the amplification, and storing the new original measured value; and then, judging whether a suspected abnormal mark is set or not, if so, turning to a step S101, namely subtracting the setting time of the suspected fault mark from the current time to obtain a time difference, and otherwise, turning to a step S102, namely judging whether the amplification is larger than the maximum amplification MaxAdd or not.

Step S101 further includes: and entering to judge whether the time difference is less than 3 seconds, if so, turning to step S1011, namely judging whether the amplification is less than the minimum amplification MinAdd, otherwise, turning to step S1012, namely clearing the suspected fault mark, and turning to step S102. The step S1011 further includes: if yes, judging abnormal data, and finishing the process when the catalytic combustion type methane sensor fails; otherwise, the process proceeds to step S10 if the determination is negative.

Step S102 further includes: if so, inquiring about the abnormal mark and recording the current time, and turning to the step S10, otherwise, judging that the current original measurement value is normal data, and the catalytic combustion type methane sensor data is normal and ending.

Step S11: analyzing the normal amplification change rule of the original measured value;

step S12: and judging whether the data of the catalytic combustion type methane sensor is abnormal or not according to the amplification change of the original measured value.

As a preferred embodiment, the step S10 specifically includes: the single chip microcomputer periodically samples the output signals of the black-white element of the catalytic combustion methane sensor, filters continuous 3 sampling results to obtain an average value, and finally multiplies the average value by a certain proportionality coefficient to obtain an original measurement value.

As a preferred embodiment, the scaling factor is obtained by calibrating the sensor, and the specific method is as follows: the initial methane concentration y1 is 0, the zero AD value of the black and white element signal of the catalytic combustion type methane sensor in the air after being sampled and filtered by the CPU is recorded and set as x1, and then 2.00 percent of CH is introduced₄The concrete concentration of the left and right standard methane gas samples is set as y2, the stable calibration point AD value when the standard gas samples are introduced is recorded as x2, and the two recorded groups of data are substituted into a formula y = k x + b according to a formula, namely:

y1= k × x1+ b; y2= k × x2+ b; and k and b are calculated to be the proportionality coefficients.

As a preferred embodiment, the step S20 specifically includes: after the catalytic combustion type methane sensor is electrified, the catalytic combustion type methane sensor is preheated in the air for 15 minutes, then methane gas close to the maximum range concentration is introduced into the catalytic combustion type methane sensor according to the flow rate of 300mL/min, and simultaneously, the original measurement value output by the catalytic combustion type methane sensor is recorded.

As a preferred embodiment, the step S20 specifically further includes: the increase between two adjacent raw measurements is calculated and the maximum increase is found.

As a preferred embodiment, the step S20 specifically further includes: and after the maximum amplification is found, observing the amplification change after the maximum amplification occurs, and determining the amplification degree at the moment of 3 seconds after the maximum amplification occurs.

The invention also provides a catalytic combustion type methane sensor abnormal data identification and analysis system, which is characterized by comprising the following components: the original measured value acquisition module is used for acquiring the methane content in the environment; the module for analyzing the amplitude change rule of the original measured value is used for finding out a normal amplitude upper limit and an amplitude lower limit within 3 seconds after the normal amplitude reaches the upper limit; and the abnormal data identification module is used for identifying whether the measured value is abnormal data.

The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.