CN115342848A - Method and device for detecting abnormal data of sensor - Google Patents
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Abstract
The invention discloses a method and a device for detecting abnormal data of a sensor, wherein the method comprises the following steps: when a first sensor uploads first abnormal data, determining a data type of associated data of the first abnormal data; carrying out secondary detection on the area where the first sensor is located according to the data type; when the secondary detection is determined to be abnormal, determining that the triggering state of the first abnormal data is abnormal triggering, and performing abnormal alarm; and when the secondary detection is determined to be normal, determining that the trigger state of the first abnormal data is false trigger, and deleting the first abnormal data. The invention can determine the data which is correlated with the abnormal data when detecting the abnormal data, and carry out secondary detection according to the data which is correlated with each other to determine whether the abnormal data is correct, thereby avoiding the situation of false triggering and improving the accuracy of data acquisition.
Description
Technical Field
The invention relates to the technical field of detection sensors, in particular to a method and a device for detecting abnormal data of a sensor.
Background
The sensor (english name: transducer/sensor) is a detection device, which can sense the measured information and convert the sensed information into electric signals or other information in required form according to a certain rule to output, so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like.
Because the sensor has the function of flexibly recording different scene data, more and more different application items are introduced into the sensor for detection, wherein one application is the application of the Internet of things related to the boiler. The real-time temperature of the boiler is detected through the sensor, and when abnormal temperature data are detected, the abnormal temperature data are reported to the background server for the background server to further examine so as to realize monitoring and management of the boiler.
However, in the using process, the sensor has the following technical problems: although the boiler temperature in the area where the sensor is located is not abnormal, the boiler temperature may be interfered by the environment (for example, a line fault), so that the sensor cannot detect the temperature in the current area, and then abnormal data is reported to trigger an abnormal alarm.
Disclosure of Invention
The invention provides a method and a device for detecting abnormal data of a sensor, wherein the method can perform secondary detection on a detection area according to a data type associated with the abnormal data when the abnormal data is uploaded by the sensor so as to determine whether the data is abnormal or not, and further avoid the condition that an alarm is triggered due to the abnormal data.
A first aspect of an embodiment of the present invention provides a method for detecting abnormal data of a sensor, where the method includes:
when a first sensor uploads first abnormal data, determining a data type of associated data of the first abnormal data;
carrying out secondary detection on the area where the first sensor is located according to the data type;
when the secondary detection is determined to be abnormal, determining that the triggering state of the first abnormal data is abnormal triggering, and performing abnormal alarm;
and when the secondary detection is determined to be normal, determining that the trigger state of the first abnormal data is false trigger, and deleting the first abnormal data.
In a possible implementation manner of the first aspect, the performing, according to the data type, the secondary detection on the area where the first sensor is located includes:
judging whether the associated data corresponding to the data type is in a preset data interval or not;
if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal;
and if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
In a possible implementation manner of the first aspect, the performing, according to the data type, secondary detection on the area where the first sensor is located includes:
searching a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor;
if the abnormal times are larger than the preset times, determining that the secondary detection is abnormal;
and if the abnormal times are less than the preset times, determining that the secondary detection is normal.
In a possible implementation manner of the first aspect, the first sensor is a temperature sensor, and the second sensor is an air pressure sensor.
A second aspect of an embodiment of the present invention provides a detection apparatus for abnormal data regarding a sensor, the apparatus including:
the determining module is used for determining the data type of the associated data of the first abnormal data when the first abnormal data are uploaded by the first sensor;
the secondary detection module is used for carrying out secondary detection on the area where the first sensor is located according to the data type;
the abnormality module is used for determining that the triggering state of the first abnormal data is abnormal triggering and performing abnormal alarm when the secondary detection is determined to be abnormal;
and the normal module is used for determining that the triggering state of the first abnormal data is false triggering and deleting the first abnormal data when the secondary detection is determined to be normal.
In a possible implementation manner of the second aspect, the secondary detection module is further configured to:
judging whether the associated data corresponding to the data type is in a preset data interval or not;
if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal;
and if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
In a possible implementation manner of the second aspect, the secondary detection module is further configured to:
searching a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor;
if the abnormal times are larger than the preset times, determining that the secondary detection is abnormal;
and if the abnormal times are smaller than the preset times, determining that the secondary detection is normal.
In a possible implementation manner of the second aspect, the first sensor is a temperature sensor, and the second sensor is an air pressure sensor.
Compared with the prior art, the method and the device for detecting the sensor abnormal data have the advantages that: the invention can determine the data which is correlated with the abnormal data when detecting the abnormal data, and carry out secondary detection according to the data which is correlated with each other to determine whether the abnormal data is correct, thereby avoiding the situation of false triggering and improving the accuracy of data acquisition.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting abnormal sensor data according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating the operation of a method for detecting sensor anomaly data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a device for detecting abnormal data of a sensor according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the sensor has the function of flexibly recording different scene data, more and more different application items are introduced into the sensor for detection, wherein one application is the application of the Internet of things related to the boiler. The real-time temperature of the boiler is detected through the sensor, and when abnormal temperature data are detected, the abnormal temperature data are reported to the background server for the background server to further examine so as to realize monitoring and management of the boiler.
However, in the using process, the sensor has the following technical problems: although the boiler temperature in the area where the sensor is located is not abnormal, the boiler temperature may be interfered by the environment (for example, a line fault), so that the sensor cannot detect the temperature in the current area, and then abnormal data is reported to trigger an abnormal alarm.
In order to solve the above problem, a method for detecting abnormal data of a sensor provided by an embodiment of the present application will be described and explained in detail by the following specific embodiments.
Referring to fig. 1, a flow chart of a method for detecting abnormal sensor data according to an embodiment of the present invention is shown.
By way of example, the method for detecting sensor abnormality data may include:
s11, when the first abnormal data are uploaded by the first sensor, determining the data type of the associated data of the first abnormal data.
In one embodiment, the first sensor may be a sensor disposed in the detection area, and the associated data may be data that is interrelated with the data collected by the first sensor. For example, the data collected by the first sensor is temperature, and the data correlated with each other may be gas pressure, gas density, and the like. For another example, the data collected by the first sensor is humidity, and the data correlated with the humidity may be volume, temperature, and the like. For another example, the data collected by the first sensor is length, and the data correlated with each other may be width, linear shape, and the like.
The data type may be a category of data. Since different sensors are used to collect different types of data, a corresponding second sensor within the area of the first sensor may be determined based on the type of data.
And S12, carrying out secondary detection on the area where the first sensor is located according to the data type.
In an embodiment, the second sensor may be used to perform secondary detection in the area where the first sensor is located, so as to determine whether the data acquired by the first sensor is the data acquired by the abnormal trigger, so as to avoid the false trigger condition.
In an alternative embodiment, the secondary detection may comprise the following sub-steps:
and S21, judging whether the associated data corresponding to the data type is in a preset data interval.
And S22, if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal.
And S23, if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
In a further optional embodiment, the secondary detection may further comprise the sub-steps of:
and S31, searching for a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor.
And S32, if the abnormal times are more than the preset times, determining that the secondary detection is abnormal.
And S33, if the abnormal times are smaller than the preset times, determining that the secondary detection is normal.
Optionally, the first sensor is a temperature sensor and the second sensor is an air pressure sensor. In actual operation, the sensors may correspond to various types of data associated with each other, which are listed in the above examples.
For ease of understanding, the description may be made using examples.
For example, the first sensor collects temperature data and the corresponding second sensor collects pressure data. At a temperature of 200 degrees celsius, corresponding to a pressure of 2 atmospheres, then when the temperature rises to 300 degrees celsius, the pressure should go to 2.5 atmospheres.
If the first sensor detects that the temperature is increased to 300 ℃ from 200 ℃, abnormal data is determined, the second sensor can be called to measure the air pressure, if the air pressure of the second sensor is larger than or equal to 2.5 atmospheric pressures, in a preset data interval, the secondary detection is determined to be abnormal, if the air pressure of the second sensor is smaller than or equal to 2 atmospheric pressures and is not in the preset data interval, the secondary detection is determined to be normal, and the data collected by the first sensor can be triggered by mistake.
Similarly, the first sensor detects that the temperature is increased from 200 ℃ to 300 ℃, abnormal data are determined, the second sensor can be called to measure the air pressure for multiple times, and if the air pressure detected for multiple times continuously is greater than or equal to 2.5 atmospheres, the abnormality is determined; if the air pressure is detected to be less than 2.5 atmospheres only once or intermittently, or the air pressure is detected to be 2 atmospheres, the detection is determined to be normal, the data collected by the first sensor can be triggered by mistake, the temperature data collected by the first sensor can be wrong, or the gas data collected by the second sensor can be wrong.
And S13, when the secondary detection is determined to be abnormal, determining that the trigger state of the first abnormal data is abnormal trigger, and performing abnormal alarm.
And S14, when the secondary detection is determined to be normal, determining that the trigger state of the first abnormal data is false trigger, and deleting the first abnormal data.
After the secondary detection, if the determination is normal, the first abnormal data collected by the first sensor may be determined, and may be collected due to false triggering or environmental interference, and the first abnormal data may be deleted. If the first abnormal data is determined to be abnormal, the first abnormal data collected by the first sensor can be determined to be correct, and an abnormal alarm can be triggered for a user to perform subsequent processing.
Referring to fig. 2, an operation flow diagram of a method for detecting abnormal sensor data according to an embodiment of the present invention is shown.
Specifically, when abnormal data sent by a sensor is acquired, another sensor may be triggered to perform multiple detections, or data detection may be performed by collecting data associated with each other to determine whether the abnormal data is correct, and if the abnormal data is incorrect, the abnormal data may be deleted, and if the abnormal data is normal, a corresponding alarm operation may be performed.
In this embodiment, an embodiment of the present invention provides a method for detecting abnormal data of a sensor, which has the following beneficial effects: the invention can determine the data which is correlated with the abnormal data when detecting the abnormal data, and carry out secondary detection according to the data which is correlated with each other to determine whether the abnormal data is correct, thereby avoiding the situation of false triggering and improving the accuracy of data acquisition.
An embodiment of the present invention further provides a device for detecting abnormal data of a sensor, and referring to fig. 3, a schematic structural diagram of the device for detecting abnormal data of a sensor according to an embodiment of the present invention is shown.
Wherein, as an example, the detection device regarding the sensor abnormality data may include:
the determining module 301 is configured to determine a data type of associated data of first abnormal data when the first abnormal data is uploaded by a first sensor;
a secondary detection module 302, configured to perform secondary detection on the area where the first sensor is located according to the data type;
an exception module 303, configured to determine that the trigger state of the first exception data is an exception trigger and perform an exception alarm when it is determined that the secondary detection is an exception;
a normal module 304, configured to determine that the trigger state of the first abnormal data is false trigger and delete the first abnormal data when it is determined that the secondary detection is normal.
Optionally, the secondary detection module is further configured to:
judging whether the associated data corresponding to the data type is in a preset data interval or not;
if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal;
and if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
Optionally, the secondary detection module is further configured to:
searching a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor;
if the abnormal times are larger than the preset times, determining that the secondary detection is abnormal;
and if the abnormal times are less than the preset times, determining that the secondary detection is normal.
Optionally, the first sensor is a temperature sensor and the second sensor is an air pressure sensor.
It can be clearly understood by those skilled in the art that, for convenience and brevity, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
Further, an embodiment of the present application further provides an electronic device, including: the sensor anomaly data detection method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the detection method about the sensor anomaly data according to the embodiment.
Further, the present application also provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions for causing a computer to execute the method for detecting abnormal data of a sensor according to the foregoing embodiment.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method of detecting sensor anomaly data, the method comprising:
when a first sensor uploads first abnormal data, determining the data type of the associated data of the first abnormal data;
performing secondary detection on the area where the first sensor is located according to the data type;
when the secondary detection is determined to be abnormal, determining that the triggering state of the first abnormal data is abnormal triggering, and performing abnormal alarm;
and when the secondary detection is determined to be normal, determining that the trigger state of the first abnormal data is false trigger, and deleting the first abnormal data.
2. The method for detecting abnormal data of a sensor according to claim 1, wherein the performing of the secondary detection on the area where the first sensor is located according to the data type includes:
judging whether the associated data corresponding to the data type is in a preset data interval or not;
if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal;
and if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
3. The method for detecting abnormal data of a sensor according to claim 1, wherein the secondarily detecting the area where the first sensor is located according to the data type includes:
searching a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor;
if the abnormal times are larger than the preset times, determining that the secondary detection is abnormal;
and if the abnormal times are less than the preset times, determining that the secondary detection is normal.
4. The method of claim 3, wherein the first sensor is a temperature sensor and the second sensor is an air pressure sensor.
5. A detection apparatus for abnormal data regarding a sensor, the apparatus comprising:
the determining module is used for determining the data type of the associated data of the first abnormal data when the first abnormal data are uploaded by the first sensor;
the secondary detection module is used for carrying out secondary detection on the area where the first sensor is located according to the data type;
the abnormality module is used for determining that the triggering state of the first abnormal data is abnormal triggering and performing abnormal alarm when the secondary detection is determined to be abnormal;
and the normal module is used for determining that the trigger state of the first abnormal data is false trigger and deleting the first abnormal data when the secondary detection is determined to be normal.
6. The apparatus for detecting abnormal data of a sensor according to claim 5, wherein the secondary detection module is further configured to:
judging whether the associated data corresponding to the data type is in a preset data interval or not;
if the associated data corresponding to the data type is in a preset data interval, determining that the secondary detection is abnormal;
and if the associated data corresponding to the data type is not in a preset data interval, determining that the secondary detection is normal.
7. The apparatus for detecting abnormal data of a sensor according to claim 5, wherein the secondary detection module is further configured to:
searching a second sensor according to the data type, and recording the abnormal times of continuously detecting second abnormal data by the second sensor;
if the abnormal times are larger than the preset times, determining that the secondary detection is abnormal;
and if the abnormal times are less than the preset times, determining that the secondary detection is normal.
8. The apparatus according to claim 7, wherein the first sensor is a temperature sensor and the second sensor is an air pressure sensor.
9. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, characterized in that the processor implements the method for detecting sensor anomaly data according to any one of claims 1 to 4 when executing the program.
10. A computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for detecting data regarding sensor abnormality according to any one of claims 1 to 4.
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Cited By (1)
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