CN112763662A - Method for identifying data abnormity of gas sensor and related device - Google Patents

Method for identifying data abnormity of gas sensor and related device Download PDF

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CN112763662A
CN112763662A CN202011592044.XA CN202011592044A CN112763662A CN 112763662 A CN112763662 A CN 112763662A CN 202011592044 A CN202011592044 A CN 202011592044A CN 112763662 A CN112763662 A CN 112763662A
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methane
sensor
concentration
gas
data
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CN112763662B (en
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王延辉
杨阳
侯宇辉
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Jingying Digital Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036Specially adapted to detect a particular component
    • G01N33/004Specially adapted to detect a particular component for CO, CO2
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036Specially adapted to detect a particular component
    • G01N33/0047Specially adapted to detect a particular component for organic compounds
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0062General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital

Abstract

The application relates to a method for identifying data abnormity of a gas sensor. The method comprises the following steps: acquiring gas concentration data monitored by a gas sensor within a period of time; and determining whether the data change range of the gas sensor in the period of time is abnormal or not according to the gas concentration data to obtain a primary identification result. The scheme provided by the application can objectively reflect the authenticity of the gas concentration change monitored by the gas sensor and improve the accuracy of data abnormity identification of the gas sensor.

Description

Method for identifying data abnormity of gas sensor and related device
Technical Field
The application relates to the technical field of coal mine safety production data feature identification, in particular to a method and a related device for identifying data abnormity of a gas sensor, which are suitable for monitoring and identifying data features of the gas sensor under a coal mine.
Background
Various toxic and harmful gases, such as methane gas (commonly called gas), carbon monoxide and CO gas and the like, can emerge in the coal mining operation process of the underground coal face of the coal mine, and threaten the safety production of the coal mine.
In order to ensure the safe production of coal mines, various types of gas sensors such as methane sensors (also called gas sensors) and CO sensors are generally installed underground coal mines to monitor the concentration of various harmful gases underground coal mines in real time. By taking gas as an example, according to the regulation of coal mine safety regulations, when the gas concentration monitored by a methane sensor exceeds the regulated concentration, the system should give an alarm and even cut off the power supply of equipment.
Disclosure of Invention
In order to overcome the problems and defects in the technology, the application provides the identification method for the data abnormity of the gas sensor, the identification method can reflect the change condition of the gas concentration more objectively, the accuracy of monitoring the gas concentration is improved, and the universality is stronger.
The application provides a method for identifying data abnormity of a gas sensor, which comprises the following steps: acquiring gas concentration data monitored by a gas sensor within a period of time; and determining whether the data change range of the gas sensor in the period of time is abnormal or not according to the gas concentration data to obtain a primary identification result. Wherein, the period of time may specifically be: the specific time duration of the time duration is selected according to the actual situation of the coal mine, and the time duration is not limited in this application.
The gas sensor described in the above first aspect includes, but is not limited to: methane sensors, CO sensors.
In a possible implementation manner of the first aspect, the determining whether a data variation range of the gas sensor in the period of time is abnormal according to the gas concentration data includes:
analyzing the gas concentration data to obtain an actual measurement value of the gas concentration change frequency of the gas sensor in the period of time; if the measured value of the gas concentration change frequency is smaller than the reference value of the gas concentration change frequency, determining that the gas concentration change frequency of the gas sensor is abnormal in the period of time, wherein the gas concentration change frequency is abnormal and belongs to the abnormal data change range of the gas sensor; otherwise, determining that the gas concentration change frequency of the gas sensor in the period is normal.
In a possible implementation manner of the first aspect, the determining whether a data variation range of the gas sensor in the period of time is abnormal according to the gas concentration data includes:
calculating the gas concentration data to obtain a gas concentration average value of the gas sensor in the period of time and a range real measurement value of the gas concentration data; acquiring a reference value of range of gas concentration data corresponding to the average methane concentration value; if the measured value of the range of the gas concentration data is smaller than the reference value of the range of the gas concentration data, determining that the range of the methane concentration fluctuation of the gas sensor is abnormal in the period of time, wherein the range of the gas concentration fluctuation is abnormal in the range of the data change of the gas sensor; otherwise, determining that the gas concentration fluctuation range of the gas sensor in the period is normal.
In a possible implementation manner of the first aspect, the determining whether a data variation range of the gas sensor in the period of time is abnormal according to the gas concentration data includes:
calculating the gas concentration data to obtain the average value of the gas concentration of the gas sensor in the period of time; respectively taking the maximum fluctuation value of the gas concentration data within a preset time length from each time in the time length to the next from the initial time of the time length; calculating the proportion of all the maximum fluctuation values which is larger than a fluctuation threshold value to obtain an actual proportion value, wherein the fluctuation threshold value is obtained by multiplying the average gas concentration value in the period of time by a set proportion; if the gas concentration average value is larger than the reference concentration average value and the actual proportion value is larger than the reference proportion value, determining that the gas concentration fluctuation rate of the gas sensor is abnormal in the period of time, wherein the gas concentration fluctuation rate is abnormal and belongs to the abnormal data change range of the gas sensor; otherwise, determining that the fluctuation rate of the gas concentration of the gas sensor in the period is normal.
In a possible implementation manner of the first aspect, the gas sensor includes three methane sensors arranged under a coal mine, which are a first methane sensor, a second methane sensor and a third methane sensor respectively; the system comprises a first methane sensor, a second methane sensor, a third methane sensor and a third methane sensor, wherein the first methane sensor is used for monitoring the methane concentration of the underground coal face of the coal mine, the second methane sensor is used for monitoring the methane concentration of the underground return airway of the coal mine, and the third methane sensor is used for monitoring the methane concentration of the intersection of the underground coal face of the coal mine and the return airway; the method further comprises the following steps:
if the preliminary identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency; determining a final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, wherein the abnormal variation range of the data of the methane sensors comprises the following steps: the methane concentration variation frequency is abnormal, the methane concentration fluctuation range is abnormal, and the methane concentration fluctuation rate is abnormal; otherwise, determining the preliminary identification result as a final identification result.
In a possible implementation manner of the first aspect, in the preliminary identification result, the first identification result is: under the condition that the data variation ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal, determining a final recognition result according to the preliminary recognition result and the average methane concentration value of the three methane sensors comprises the following steps:
in the period of time, if the average methane concentration value of the first methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data change range of the first methane sensor is abnormal, and updating the preliminary identification result to obtain the final identification result; in the period of time, if the average methane concentration value of the third methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data variation range of the third methane sensor is abnormal, and updating the preliminary identification result to obtain the final identification result; otherwise, determining the preliminary recognition result as the final recognition result.
In a possible implementation manner of the first aspect, in the preliminary identification result, the first identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and when the second methane sensor is abnormal in methane concentration fluctuation range or methane concentration fluctuation rate, the final recognition result is determined according to the preliminary recognition result and the average methane concentration value of the three methane sensors, and the method comprises the following steps:
within the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is smaller than the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are abnormal;
in the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is less than the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor are abnormal, and the data change ranges of the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor and the second methane sensor are normal, and the data change range of the third methane sensor is abnormal.
The second aspect of the present application provides an apparatus for recognizing a data abnormality of a gas sensor, the apparatus comprising: the acquisition unit is used for acquiring gas concentration data monitored by the gas sensor within a period of time; and the processing unit is used for determining whether the data change range of the gas sensor in the period of time is abnormal or not according to the gas concentration data to obtain a primary identification result.
The description of the "one period of time" in the identification apparatus provided in the second aspect and the beneficial effects are similar to those in the first aspect, and for the detailed description, reference may be made to the description of the relevant part in the first aspect, and details are not repeated here.
In some possible implementations of the second aspect, the processing unit may be further configured to perform all operations described in all possible implementations of the first aspect, and for a detailed description thereof, reference may be made to the related description in the possible implementations of the first aspect, which is not described herein again.
A third aspect of the present application provides an electronic device comprising: a processor and a memory; the memory is used for storing executable codes; the processor is configured to execute the executable code, and execute the method for identifying a data anomaly of a gas sensor described in the first aspect and all possible implementations of the first aspect.
A fourth aspect of the present application provides a non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor, causes the processor to perform a method as described above.
Through the technical scheme in the application, the following technical effects can be realized: whether the data change range of the gas sensor in a period of time is abnormal or not is identified through the gas concentration data monitored by the gas sensor, the universality is stronger, and the change condition of the monitored gas concentration of the gas sensor can be reflected more objectively, so that the accuracy of monitoring the gas concentration is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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The foregoing and other objects, features and advantages of the present application will become more apparent from the following detailed description of exemplary embodiments of the present application when taken in conjunction with the accompanying drawings, wherein like reference characters generally represent like parts throughout the exemplary embodiments of the present application.
Fig. 1(a) is a schematic view of an application scenario provided in an embodiment of the present application;
FIG. 1(b) is a schematic diagram of low fluctuation rate of T1 sensor data provided in the embodiments of the present application;
FIG. 1(c) is a schematic diagram of an anomaly in the effective fluctuation range of the T0 sensor provided in the embodiments of the present application;
FIG. 1(d) is a schematic diagram of the T2 sensor with a low fluctuation rate for too long a period of time as provided in the embodiments of the present application;
FIG. 1(e) is a schematic diagram of the abnormal data magnitude relationship of the T0, T1 and T2 sensors provided in the embodiments of the present application;
FIG. 2 is a schematic flow chart of a method for identifying anomalies in gas sensor data provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for identifying data abnormality of a gas sensor provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
Preferred embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms "first," "second," "third," etc. may be used herein to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
The technical scheme is suitable for monitoring various toxic and harmful gases, such as methane gas (commonly called as gas), carbon monoxide (CO) gas and the like, emerging in the coal mining operation process of the underground coal face in real time, and the concentration of the toxic and harmful gases is kept in a safety range so as to ensure the safe production of a coal mine. Each coal mine is provided with a reasonable ventilation mode, gas emerging from the mine is discharged, and general ventilation modes include a U-shaped mode, a Z-shaped mode, a Y-shaped mode, an H-shaped mode, a W-shaped mode and the like. The technical scheme of the application can be applied to mines corresponding to the coal faces of various ventilation modes.
Taking a Z-shaped ventilation mode coal face as an example, fig. 1 is a schematic view of an application scenario provided in the embodiment of the present application; as shown in fig. 1(a), the Z-ventilation coal face includes: an air inlet lane, an air return lane and a coal face, wherein the arrow direction in fig. 1(a) is the wind direction, the channel on the air inlet side is the air inlet lane, the channel on the air outlet side is the air return lane, the dark part shown in fig. 1(a) is the coal face, fig. 1(a) also shows methane sensors T1 and T2, wherein T1 is installed within 10 meters away from the coal face and is used for monitoring the methane concentration of the coal face; the T2 is arranged in the return airway and is within 10-15 meters of the lane mouth of the return airway, and is used for monitoring the methane concentration of the return airway. The detection of the methane concentration is only early-warned by the concentration values monitored in real time on the methane sensors T1 and T2 at present, and the early-warning threshold value of the methane sensors can be manually increased, so that the actual concentration value of methane can easily reach the early-warning condition without early warning, and safety accidents are caused.
Three methane sensors are generally required to be arranged on a coal face in a U-shaped ventilation mode, and besides the sensors T1 and T2, a sensor T0 for monitoring the methane concentration at the intersection (commonly called an upper corner) of the underground coal face of the coal mine and a return airway is also required to be arranged.
Taking the sensor identifications of the working surfaces T0, T1 and T2 as examples, observing the change rule and combining the knowledge of the actual service scene to obtain the abnormal conditions of the sensor data change range as follows:
(1) in this case, as shown in fig. 1(b), the fluctuation rate of the data of the T1 sensor is low.
(2) In this case, as shown in fig. 1(c), the effective fluctuation range of the T0 sensor is abnormal.
(3) The methane concentration data continues too long at the time of the lower fluctuation rate, which is illustrated in fig. 1(d) as a graph of the time of the lower fluctuation rate of the T2 sensor being too long.
(4) The data size relations of the T0, T1 and T2 sensors are abnormal, and T0> T2 and T1> T2 are not satisfied. FIG. 1(e) below is a schematic diagram showing the abnormal data size relationship among the T0, T1 and T2 sensors.
In view of the above problems, embodiments of the present application provide a method for identifying a data anomaly of a gas sensor, which can reflect a change condition of a gas concentration more objectively, improve accuracy of monitoring the gas concentration, and have stronger universality.
The method for identifying the abnormal data of the gas sensor in the embodiment of the application is suitable for monitoring various toxic and harmful gases in a coal mine, wherein the gas sensor comprises but is not limited to: methane sensors and CO sensors.
The gas sensor in the embodiment of the present application takes a methane sensor as an example, and the technical solution of the embodiment of the present application is described in detail with reference to the accompanying drawings.
Fig. 2 is a schematic diagram of an embodiment of a method for identifying a data abnormality of a gas sensor according to an embodiment of the present application.
Referring to fig. 2, in the embodiment of the present application, a method for identifying data anomalies of a gas sensor, the method being suitable for monitoring a data variation range of the gas sensor, includes:
201. the identification device obtains methane concentration data monitored by the methane sensor within a period of time.
In the embodiment of the present application, the duration of a period of time may be 12 hours, 24 hours, 36 hours, 48 hours, and the like, and usually 24 hours is taken, and in a special case, the duration of a period of time may be reasonably selected according to the actual situation of a coal mine, and no limitation is imposed on the embodiment of the present application.
It should be appreciated that the monitored methane concentration data is continuously changing data reflecting changes in the coal mine downhole methane concentration over the period of time.
In the embodiment of the application, the methane sensor can be one or more sensors installed under a coal mine. For example, in conjunction with the methane sensors T1 and T2 described above and shown in FIG. 1.
202. And the identification device determines whether the data change range of the methane sensor in the period of time is abnormal or not according to the methane concentration data to obtain a primary identification result.
In the embodiment of the present application, the data change abnormality of the methane concentration may be roughly divided into: the methane concentration variation frequency is abnormal, the methane concentration fluctuation range is abnormal, and the methane concentration fluctuation rate is abnormal. Wherein the abnormal frequency of the change of the methane concentration is that the frequency of the change of the concentration data is low in the period of time; the methane concentration fluctuation range abnormity is that the concentration data basically fluctuates around the average value in the time period; an anomaly in the fluctuation rate of methane concentration is that the concentration data lasts too long at times when the fluctuation rate is low.
Therefore, according to the above division manner, the data change abnormality of each methane sensor can be independently determined, which specifically includes:
the first method for judging the abnormality of the data change range of the methane sensor is as follows:
specifically, the identifying device determines whether the data change range of the methane sensor in the period of time is abnormal according to the methane concentration data, and specifically includes the following steps:
firstly, analyzing methane concentration data by an identification device to obtain an actual measurement value of the methane concentration change frequency of a methane sensor in the period of time;
secondly, if the measured value of the methane concentration change frequency is smaller than the reference value of the methane concentration change frequency, the identification device determines that the methane concentration change frequency of the methane sensor is abnormal in the period of time; otherwise, the identifying means determines that the methane sensor has a normal frequency of change in methane concentration over the period of time.
Optionally, in an implementation manner of the embodiment of the present application, if the methane sensor is disposed in a high gas mine or a coal and gas outburst mine, the reference value is a first value; if the methane sensor is disposed in the low-gas mine, the reference value is a second value, wherein the first value is greater than the second value.
The reference value for the change frequency of the methane concentration can be a standard value which is selected in practice by combining experience and a large amount of data. For example, for high gas mines and coal and gas outburst mines, the reference value may be set to 48; for low gas wells, the reference value may be defined as 16.
The second method for judging the abnormality of the data change range of the methane sensor is as follows:
the average concentration of methane over a period of time, such as a day, should be proportional to the range of the day's fluctuation, i.e., the higher the methane concentration, the greater the range of fluctuation.
Specifically, the identifying device determines whether the data change range of the methane sensor in the period of time is abnormal according to the methane concentration data, and specifically includes the following steps:
firstly, the recognition device calculates methane concentration data to obtain a methane concentration average value of the methane sensor in the period of time and a range measured value of the methane concentration data; wherein the range is the difference between the maximum value and the minimum value of the methane concentration data.
Secondly, acquiring a range reference value of the methane concentration data corresponding to the average methane concentration value by the identification device;
finally, if the measured value of the range of the methane concentration data is smaller than the reference value of the range of the methane concentration data, the identification device determines that the methane concentration fluctuation range of the methane sensor is abnormal in the period of time; otherwise, the recognition device determines that the methane concentration fluctuation range of the methane sensor is normal in the period of time.
Optionally, in an implementation manner of the embodiment of the present application, there is a correspondence between the reference value of the range of the methane concentration data and the average value of the methane concentration. Optionally, the correspondence may be a linear relationship obtained by performing data fitting on big data.
Specifically, for different methane concentrations, reference values are given for the corresponding fluctuation ranges of the methane concentration. For example, the average value of the methane concentration in one day is recorded as μ, an empirical value is referred to, and a reference value s of the fluctuation range of the methane concentration is obtained by linear fitting of a large number of data as follows:
for high gas mines and coal and gas outburst mines, the linear relationship between the average value mu of the methane concentration and the reference value s of the fluctuation range of the methane concentration is as follows:
Figure BDA0002867206140000091
for low gas wells, the linear relationship between the average value μ of methane concentration and the reference value s of the fluctuation range of methane concentration is:
Figure BDA0002867206140000101
wherein the mean value mu of the methane concentration means that the methane concentration is mu%, and similarly, the reference value s of the fluctuation range of the methane concentration means that the fluctuation range of the methane concentration does not exceed s%.
The third method for judging the abnormal change range of the methane sensor data is as follows:
the average concentration of methane over a period of time, such as a day, should be proportional to each fluctuation in methane. I.e. the higher the methane concentration, the larger each fluctuation. When the fluctuation of the methane concentration is small for a long time, it can be considered that the fluctuation rate of the methane concentration is abnormal.
Specifically, the identifying device determines whether the data change range of the methane sensor in the period of time is abnormal according to the methane concentration data, and specifically includes the following steps:
firstly, the recognition device calculates methane concentration data to obtain a methane concentration average value of the methane sensor in the period of time;
secondly, the identification device respectively takes the maximum fluctuation value of the methane concentration data within a preset time length from each time in the time length to the next from the initial time of the time length;
calculating the proportion of all the maximum fluctuation values which is larger than a fluctuation threshold value to obtain an actual proportion value, wherein the fluctuation threshold value is obtained by multiplying the average methane concentration value in the period of time by a set proportion; the set ratio can be recorded as k, which is greater than 0 and less than 1, with a typical value of 10%.
Finally, if the average methane concentration value is larger than the reference average methane concentration value and the actual proportional value is larger than the reference proportional value, determining that the fluctuation rate of the methane concentration of the methane sensor in the period of time is abnormal; otherwise, the recognition device determines that the fluctuation rate of the methane concentration of the methane sensor is normal in the period of time.
For example, the average value of the methane concentration in one day is recorded as μ, and the value of k is 10%, for example, taking the maximum fluctuation value of ten minutes after each minute as an example, that is, the maximum fluctuation value of … … every time period of 0-10 minutes, 1-11 minutes, and 2-12 minutes; and calculating the maximum fluctuation of the methane concentration in each divided time period, and counting the ratio of the times that the maximum fluctuation is less than (mu multiplied by 10%) in 24 hours, namely the actual proportion value r. If the average value of the reference concentration is 0.2% and the reference proportion value is 90%, when mu is greater than 0.2 and r is greater than 90%, the methane concentration is considered to have small fluctuation for a long time, the fluctuation rate is abnormal, and the data change range is abnormal.
It should be noted that, in the technical solution in the embodiment of the present application, data of each methane sensor in a period of time is analyzed and counted to determine whether a data change range of the methane sensor is abnormal, so that on one hand, the authenticity of the methane concentration change monitored by the methane sensor can be more objectively reflected, and potential safety hazards caused by manually adjusting the measurement value of the sensor are eliminated; on the other hand, the accuracy of data anomaly identification can be improved, and the method has universal applicability and is more universal. It should be further noted that the specific embodiment of the data anomaly identification of the CO sensor is similar to the data anomaly identification embodiment of the methane sensor, and for the specific embodiment of the data anomaly identification of the CO sensor, reference may be made to the related descriptions of steps 101 and 102 in the embodiment corresponding to fig. 1, and details thereof are not repeated here.
It is easy to understand that a plurality of methane sensors need to be arranged under a coal mine, the coal mining working faces are different, and the number of the arranged methane sensors is different. Specifically, for the coal mining working face except for the U-shaped ventilation way face, only two methane sensors are generally needed to be arranged, specifically, the sensors T1 and T2 in the application scenario described above; however, three methane sensors are generally required to be arranged on the coal face in the U-shaped ventilation mode, and in addition to the sensors T1 and T2, a sensor T0 for monitoring the methane concentration at the intersection (commonly called an upper corner) of the underground coal face and the return airway of the coal mine needs to be arranged.
Therefore, after the data change range of each methane sensor is separately judged to be abnormal, in order to further improve the accuracy of the judgment, the preliminary identification result and the numerical relationship between the methane sensors in the coal face can be combined to perform comprehensive judgment, and finally whether the data change range of each methane sensor is abnormal is determined. Similarly, the same applies to the CO sensors, and each CO sensor can be judged individually and then comprehensively according to the concentration relationship among the CO sensors.
For example, the numerical relationships of the sensors T0, T1, and T2 in a U-draft mode coal face are: t0> T2, T1> T2.
The embodiment of the present application will be described in detail below by taking, as an example, the case of identifying the data variation range of each of the sensors T0, T1, and T2 in the U-ventilation mode coal face.
Optionally, in an implementation manner of the embodiment of the present application, three methane sensors, namely, a first methane sensor, a second methane sensor, and a third methane sensor, are disposed under the coal mine.
The first methane sensor is used for monitoring the methane concentration of the underground coal face of the coal mine and is marked as T1; the second methane sensor is used for monitoring the methane concentration of the underground return airway of the coal mine and is marked as T2; and the third methane sensor is used for monitoring the methane concentration at the intersection of the underground coal face and the return airway of the coal mine and is recorded as T0.
Under the scenario defined by the foregoing embodiment, the present application embodiment may further include:
optionally, 203, if the preliminary identification result is not: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency; the recognition means determines the preliminary recognition result as a final recognition result.
Wherein, the methane sensor data variation range anomaly includes: an abnormality in the frequency of change in methane concentration, an abnormality in the fluctuation range of methane concentration, and an abnormality in the fluctuation rate of methane concentration.
It is to be understood that if the preliminary recognition result belongs to the range stated in step 203, the preliminary recognition result can be regarded as the final recognition result.
For example, if the preliminary identification result is: and if the data change range of the first methane sensor is abnormal, the data change range of the third methane sensor is abnormal, and the change frequency of the methane concentration of the second methane sensor is abnormal, the final result is that the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are all abnormal.
It can be easily seen that the second methane sensor is abnormal in methane concentration change frequency, which means that the sensor data is less, the data is considered unreal, and it is meaningless to calculate the average value, so that when the second methane sensor is abnormal in methane concentration change frequency, the second methane sensor is considered to belong to the abnormal data change range. At this time, whether the data change ranges of the first methane sensor and the third methane sensor are abnormal or not is judged no longer through the numerical relationships among T0, T1 and T2, and the independent judgment results are used as final identification results.
Accordingly, when the effective fluctuation range of the second methane sensor is abnormal or the fluctuation rate of the second methane sensor is abnormal, the monitoring value of the second methane sensor may be artificially reduced. The average concentration value of the second methane sensor should be minimum, the second methane sensor is operated independently, the actual situation is not met, and misjudgment on the data change range of the second methane sensor can exist.
Optionally, 204, if the preliminary identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency; and the identification device determines a final identification result according to the preliminary identification result and the average value of the methane concentrations of the three methane sensors.
It is easy to know that the initial identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency and can be divided into the following three conditions:
firstly, the primary identification result is as follows: under the condition that the data change ranges of the sensor T1, the methane sensor T2 and the methane sensor T0 are normal;
secondly, the primary recognition result is as follows: the data change ranges of the sensor T1 and the methane sensor T0 are abnormal, and the methane sensor T2 is abnormal in the methane concentration fluctuation range;
thirdly, the primary recognition result is as follows: the data change ranges of the sensor T1 and the methane sensor T0 were abnormal, and the methane sensor T2 was abnormal in methane concentration fluctuation rate.
In the above three cases, the medium recognition device in the second and third cases determines the final recognition result in the same manner according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, and therefore, the two recognition results can be combined. The corresponding combined identification mode after merging is as follows:
first, optionally, in an implementation manner of the embodiment of the present application, the determining, by the identifying device, a final identification result according to the preliminary identification result and the average value of the methane concentrations of the three methane sensors may include:
in the period of time, if the average methane concentration value of the methane sensor T1 is smaller than the average methane concentration value of the methane sensor T2, the identification device determines that the data change range of the methane sensor T1 is abnormal, so that the initial identification result is updated to obtain a final identification result;
in the period of time, if the average methane concentration value of the methane sensor T0 is smaller than the average methane concentration value of the methane sensor T2, the identification device determines that the data change range of the methane sensor T0 is abnormal, so that the initial identification result is updated to obtain a final identification result;
otherwise, the recognition device determines the preliminary recognition result as a final recognition result.
It is easy to understand that when no abnormality is found in the methane sensors T0, T1 and T2 by independent judgment, if T1 is less than T2, it is judged that the methane sensor T1 has an abnormal size relationship, and belongs to an abnormal data change range; if T0 is less than T2, the methane sensor T0 is judged to have abnormal size relation and belongs to the abnormal data change range.
Secondly, optionally, in another implementation manner of the embodiment of the present application, the preliminary identification result is: the data change ranges of the first methane sensor T1 and the third methane sensor T0 are normal, and the second methane sensor T2 is in the case where the methane concentration fluctuation range is abnormal or the methane concentration fluctuation rate is abnormal.
The determining, by the recognition device, the final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors may include:
during this period of time, if the average methane concentration of the third methane sensor T0 is greater than or equal to the average methane concentration of the second methane sensor T2, and the average methane concentration of the first methane sensor T1 is greater than or equal to the average methane concentration of the second methane sensor T2, the final recognition result is determined as: the data of the first methane sensor T1, the second methane sensor T2 and the third methane sensor T0 all change normally; in short, T0 is more than or equal to T2, T1 is more than or equal to T2, the recognition device determines that the sensors T0, T1 and T2 are normal;
during the period of time, if the average methane concentration of the third methane sensor T0 is less than the average methane concentration of the second methane sensor T2, and the average methane concentration of the first methane sensor T1 is less than the average methane concentration of the second methane sensor T2, the final recognition result is determined as: the data change ranges of the first methane sensor T1, the second methane sensor T2 and the third methane sensor T0 are abnormal; in short, T0 < T2, T1 < T2, the recognition means determines that T0, T1, T2 are all abnormal;
during this period of time, if the average methane concentration of the third methane sensor T0 is greater than or equal to the average methane concentration of the second methane sensor T2, and the average methane concentration of the first methane sensor T1 is less than the average methane concentration of the second methane sensor T2, the final recognition result is determined as: the data change ranges of the first methane sensor T1 are abnormal, and the data change ranges of the second methane sensor T2 and the third methane sensor T0 are normal; in short, if T0 is more than or equal to T2, and T1 is less than T2, the recognition device determines that the methane sensors T0 and T2 are normal, and the methane sensor T1 has abnormal size relation and belongs to abnormal data change range;
during the period of time, if the average methane concentration of the third methane sensor T0 is less than the average methane concentration of the second methane sensor T2, and the average methane concentration of the first methane sensor T1 is greater than or equal to the average methane concentration of the second methane sensor T2, the final recognition result is determined as: the data change ranges of the first methane sensor T1 and the second methane sensor T2 are normal, and the data change range of the third methane sensor T0 is abnormal. In short, if T0 is less than T2, and T1 is more than or equal to T2, the recognition device determines that the methane sensors T1 and T2 are normal, and the methane sensor T0 has abnormal size relation and belongs to the abnormal data change range.
Corresponding to the embodiment of the application function implementation method, the application also provides a device for identifying data abnormity of the gas sensor, electronic equipment and a corresponding embodiment.
Fig. 3 is a schematic structural diagram of an apparatus for identifying data abnormality of a gas sensor provided in the embodiment of the present application.
Referring to fig. 3, in an embodiment of the present invention, an apparatus 300 for identifying data abnormality of a gas sensor includes: the acquiring unit 301 is configured to acquire gas concentration data monitored by the gas sensor within a certain period of time; and the processing unit 302 is configured to determine whether the data change range of the gas sensor in the period of time is abnormal according to the gas concentration data, so as to obtain a preliminary identification result.
Optionally, the gas sensor may include, but is not limited to: methane sensor and CO sensor, respectively, gas concentration data including: methane gas concentration and CO gas concentration.
Optionally, in an implementation manner of the embodiment of the present application, the processing unit 302 is specifically configured to: analyzing the gas concentration data to obtain the actual measurement value of the gas concentration change frequency of the gas sensor in the period of time; if the measured value of the gas concentration change frequency is smaller than the reference value of the gas concentration change frequency, determining that the gas concentration change frequency of the gas sensor is abnormal in the period of time, wherein the gas concentration change frequency is abnormal and belongs to the abnormal data change range of the gas sensor; otherwise, determining that the gas concentration change frequency of the gas sensor in the period is normal.
Optionally, in an implementation manner of the embodiment of the present application, the processing unit 302 is specifically configured to: calculating the gas concentration data to obtain the average value of the gas concentration of the gas sensor in the period of time and the actual measurement value of the range of the gas concentration data; acquiring a range reference value of gas concentration data corresponding to the average methane concentration value; if the measured value of the range of the gas concentration data is smaller than the reference value of the range of the gas concentration data, determining that the methane concentration fluctuation range of the gas sensor is abnormal in the period of time, wherein the abnormality of the gas concentration fluctuation range belongs to the abnormality of the data variation range of the gas sensor; otherwise, determining that the fluctuation range of the gas concentration of the gas sensor in the period is normal.
Optionally, in an implementation manner of the embodiment of the present application, the processing unit 302 is specifically configured to: calculating the gas concentration data to obtain the average gas concentration value of the gas sensor in the period of time; respectively taking the maximum fluctuation value of the gas concentration data within a preset time length from each time in the time length to the next from the initial time of the time length; calculating the proportion of all the maximum fluctuation values which is larger than a fluctuation threshold value to obtain an actual proportion value, wherein the fluctuation threshold value is obtained by multiplying the average gas concentration value in the period of time by a set proportion; if the gas concentration average value is larger than the reference concentration average value and the actual proportion value is larger than the reference proportion value, determining that the gas concentration fluctuation rate of the gas sensor is abnormal in the period of time, wherein the gas concentration fluctuation rate is abnormal and belongs to the abnormal data change range of the gas sensor; otherwise, determining that the fluctuation rate of the gas concentration in the gas sensor in the period is normal.
Optionally, in an implementation manner of the embodiment of the present application, the gas sensor includes three methane sensors arranged under the coal mine, which are a first methane sensor, a second methane sensor, and a third methane sensor, respectively; the system comprises a first methane sensor, a second methane sensor, a third methane sensor and a third methane sensor, wherein the first methane sensor is used for monitoring the methane concentration of an underground coal face of a coal mine, the second methane sensor is used for monitoring the methane concentration of an underground return airway of the coal mine, and the third methane sensor is used for monitoring the methane concentration of the intersection of the underground coal face and the return airway of the coal mine; the method further comprises the following steps: if the initial identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency; determining a final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, wherein the abnormal variation range of the data of the methane sensors comprises the following steps: the methane concentration variation frequency is abnormal, the methane concentration fluctuation range is abnormal, and the methane concentration fluctuation rate is abnormal; otherwise, determining the preliminary recognition result as a final recognition result.
Optionally, in an implementation manner of the embodiment of the present application, the preliminary identification result is: under the condition that the data variation ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal, determining a final recognition result according to the preliminary recognition result and the average methane concentration value of the three methane sensors, wherein the final recognition result comprises the following steps: in the period of time, if the average methane concentration value of the first methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data change range of the first methane sensor is abnormal, and updating the preliminary identification result to obtain a final identification result; in the period of time, if the average methane concentration value of the third methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data change range of the third methane sensor is abnormal, and updating the preliminary identification result to obtain a final identification result; otherwise, determining the preliminary recognition result as a final recognition result.
Optionally, in an implementation manner of the embodiment of the present application, the preliminary identification result is: the processing unit 302 is specifically configured to execute the following operations when the data change ranges of the first methane sensor and the third methane sensor are both normal, and the second methane sensor is abnormal in methane concentration fluctuation range and/or methane concentration fluctuation rate:
in the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as follows: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is smaller than the average methane concentration of the second methane sensor, determining the final recognition result as: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are abnormal;
in the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is less than the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor are abnormal, and the data change ranges of the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor and the second methane sensor are normal, and the data change range of the third methane sensor is abnormal.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 4 is a schematic structural diagram of an electronic device shown in an embodiment of the present application.
Referring to fig. 4, an electronic device 400 includes a memory 410 and a processor 420.
The Processor 420 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 410 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions that are required by the processor 420 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, the memory 410 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), magnetic and/or optical disks, may also be employed. In some embodiments, memory 410 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disc, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 410 has stored thereon executable code that, when processed by the processor 420, may cause the processor 420 to perform some or all of the methods described above.
The aspects of the present application have been described in detail hereinabove with reference to the accompanying drawings. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments. Those skilled in the art should also appreciate that the acts and modules referred to in the specification are not necessarily required in the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application may be sequentially adjusted, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application may be combined, divided, and deleted according to actual needs.
Furthermore, the method according to the present application may also be implemented as a computer program or computer program product comprising computer program code instructions for performing some or all of the steps of the above-described method of the present application.
Alternatively, the present application may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or electronic device, server, etc.), causes the processor to perform part or all of the various steps of the above-described method according to the present application.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the applications disclosed herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A method for identifying anomalies in gas sensor data, the method comprising:
acquiring gas concentration data monitored by a gas sensor within a period of time;
and determining whether the data change range of the gas sensor in the period of time is abnormal or not according to the gas concentration data to obtain a primary identification result.
2. The method of claim 1,
the determining whether the data change range of the gas sensor in the period of time is abnormal according to the gas concentration data comprises the following steps:
analyzing the gas concentration data to obtain an actual measurement value of the gas concentration change frequency of the gas sensor in the period of time;
if the measured value of the gas concentration change frequency is smaller than the reference value of the gas concentration change frequency, determining that the gas concentration change frequency of the gas sensor is abnormal in the period of time, wherein the gas concentration change frequency is abnormal and belongs to the abnormal data change range of the gas sensor;
otherwise, determining that the gas concentration change frequency of the gas sensor in the period is normal.
3. The method of claim 1,
the determining whether the data change range of the gas sensor in the period of time is abnormal according to the gas concentration data comprises the following steps:
calculating the gas concentration data to obtain a gas concentration average value of the gas sensor in the period of time and a range real measurement value of the gas concentration data;
acquiring a reference value of range of gas concentration data corresponding to the average methane concentration value;
if the measured value of the range of the gas concentration data is smaller than the reference value of the range of the gas concentration data, determining that the range of the methane concentration fluctuation of the gas sensor is abnormal in the period of time, wherein the range of the gas concentration fluctuation is abnormal in the range of the data change of the gas sensor;
otherwise, determining that the gas concentration fluctuation range of the gas sensor in the period is normal.
4. The method of claim 1,
the determining whether the data change range of the gas sensor in the period of time is abnormal according to the gas concentration data comprises the following steps:
calculating the gas concentration data to obtain the average value of the gas concentration of the gas sensor in the period of time;
respectively taking the maximum fluctuation value of the gas concentration data within a preset time length from each time in the time length to the next from the initial time of the time length;
calculating the proportion of all the maximum fluctuation values which is larger than a fluctuation threshold value to obtain an actual proportion value, wherein the fluctuation threshold value is obtained by multiplying the average gas concentration value in the period of time by a set proportion;
if the gas concentration average value is larger than the reference concentration average value and the actual proportion value is larger than the reference proportion value, determining that the gas concentration fluctuation rate of the gas sensor is abnormal in the period of time, wherein the gas concentration fluctuation rate is abnormal and belongs to the abnormal data change range of the gas sensor;
otherwise, determining that the fluctuation rate of the gas concentration of the gas sensor in the period is normal.
5. The method of claim 1,
the gas sensor comprises three methane sensors arranged under a coal mine, namely a first methane sensor, a second methane sensor and a third methane sensor;
the system comprises a first methane sensor, a second methane sensor, a third methane sensor and a third methane sensor, wherein the first methane sensor is used for monitoring the methane concentration of the underground coal face of the coal mine, the second methane sensor is used for monitoring the methane concentration of the underground return airway of the coal mine, and the third methane sensor is used for monitoring the methane concentration of the intersection of the underground coal face of the coal mine and the return airway;
the method further comprises the following steps:
if the preliminary identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and the second methane sensor is not abnormal in methane concentration change frequency;
determining a final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, wherein the abnormal variation range of the data of the methane sensors comprises the following steps: the methane concentration variation frequency is abnormal, the methane concentration fluctuation range is abnormal, and the methane concentration fluctuation rate is abnormal;
otherwise, determining the preliminary identification result as a final identification result.
6. The method of claim 5,
and when the preliminary identification result is: under the condition that the data variation ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal,
determining a final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, wherein the final recognition result comprises the following steps:
in the period of time, if the average methane concentration value of the first methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data change range of the first methane sensor is abnormal, and updating the preliminary identification result to obtain the final identification result;
in the period of time, if the average methane concentration value of the third methane sensor is smaller than the average methane concentration value of the second methane sensor, determining that the data variation range of the third methane sensor is abnormal, and updating the preliminary identification result to obtain the final identification result;
otherwise, determining the preliminary recognition result as the final recognition result.
7. The method of claim 5,
and when the preliminary identification result is: the data change ranges of the first methane sensor and the third methane sensor are normal, and when the methane concentration fluctuation range or the methane concentration fluctuation rate of the second methane sensor is abnormal,
determining a final recognition result according to the preliminary recognition result and the average value of the methane concentrations of the three methane sensors, wherein the final recognition result comprises the following steps: within the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is smaller than the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor, the second methane sensor and the third methane sensor are abnormal;
in the period of time, if the average methane concentration of the third methane sensor is greater than or equal to the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is less than the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor are abnormal, and the data change ranges of the second methane sensor and the third methane sensor are normal;
in the period of time, if the average methane concentration of the third methane sensor is smaller than the average methane concentration of the second methane sensor, and the average methane concentration of the first methane sensor is greater than or equal to the average methane concentration of the second methane sensor, determining the final identification result as: the data change ranges of the first methane sensor and the second methane sensor are normal, and the data change range of the third methane sensor is abnormal.
8. An apparatus for identifying data abnormality of a gas sensor, comprising:
the acquisition unit is used for acquiring gas concentration data monitored by the gas sensor within a period of time;
and the processing unit is used for determining whether the data change range of the gas sensor in the period of time is abnormal or not according to the gas concentration data to obtain a primary identification result.
9. Identification device according to claim 8,
the processing unit is specifically configured to:
analyzing the gas concentration data to obtain an actual measurement value of the gas concentration change frequency of the gas sensor in the period of time;
if the measured value of the gas concentration change frequency is smaller than the reference value of the gas concentration change frequency, determining that the gas concentration change frequency of the gas sensor is abnormal in the period of time, wherein the gas concentration change frequency is abnormal and belongs to the abnormal data change range of the gas sensor;
otherwise, determining that the gas concentration change frequency of the gas sensor in the period is normal.
10. An electronic device, comprising:
a processor and a memory;
the memory is used for storing executable codes;
the processor, configured to execute the executable code, having performed the method for identifying a gas sensor data anomaly of any one of claims 1-7.
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CN113252114B (en) * 2021-06-11 2023-09-29 中国煤炭科工集团太原研究院有限公司 Internal environment state monitoring method and device for flameproof electrical equipment
CN113687048A (en) * 2021-07-01 2021-11-23 精英数智科技股份有限公司 Sensor data detection interrupt identification method and device and electronic equipment

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