CN113189272A - Method for correcting monitoring data of gas sensor and cooking equipment - Google Patents
Method for correcting monitoring data of gas sensor and cooking equipment Download PDFInfo
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- CN113189272A CN113189272A CN202110435447.1A CN202110435447A CN113189272A CN 113189272 A CN113189272 A CN 113189272A CN 202110435447 A CN202110435447 A CN 202110435447A CN 113189272 A CN113189272 A CN 113189272A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
- G01N33/004—Specially adapted to detect a particular component for CO, CO2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/007—Arrangements to check the analyser
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2612—Data acquisition interface
Abstract
The application relates to a method for correcting monitoring data of a gas sensor and cooking equipment. According to the method for correcting the monitoring data of the gas sensor, the first data correction model is determined based on the acquired environmental parameters of the gas sensor, and then the monitoring data of the gas sensor is corrected by using the first data correction model, so that the error of the monitoring data of the gas sensor is reduced, and the detection accuracy of the gas sensor is improved.
Description
Technical Field
The application relates to the technical field of gas sensors, in particular to a method for correcting monitoring data of a gas sensor and cooking equipment.
Background
The gas sensor may be used to monitor the gas concentration in the environment, however, in the actual monitoring process, the monitored value of the gas concentration deviates from the true value of the gas concentration, and the detection accuracy of the gas sensor is low.
Disclosure of Invention
In view of the above, it is necessary to provide a method for correcting monitoring data of a gas sensor, which can improve the detection accuracy of the gas sensor.
In a first aspect, a method for correcting monitoring data of a gas sensor is provided, which includes:
acquiring monitoring data of a gas sensor;
acquiring environmental parameters of the gas sensor;
and determining a first data correction model according to the environmental parameter, and correcting the monitoring data by using the first data correction model.
In one embodiment, the environmental parameter includes a temperature parameter and/or a humidity parameter of a monitored environment of the gas sensor.
In one embodiment, the environmental parameter includes the temperature parameter and the humidity parameter;
the determining a first data modification model based on the environmental parameter includes:
determining a target temperature interval, wherein the target temperature interval is a preset temperature interval in which the temperature parameter is located in a plurality of preset temperature intervals;
determining a target humidity interval, wherein the target humidity interval is a preset humidity interval in which the humidity parameter is located in a plurality of preset humidity intervals;
and determining the first data correction model according to the target temperature interval and the target humidity interval.
In one embodiment, the method for correcting the monitoring data of the gas sensor further comprises the following steps:
acquiring a plurality of first gas concentration values monitored by the gas sensor under the condition that the monitoring environment of the gas sensor meets preset monitoring conditions; the preset monitoring condition means that the temperature parameter of the monitoring environment is located in the preset temperature interval, and the humidity parameter of the monitoring environment is located in the preset humidity interval;
acquiring a first standard concentration value corresponding to each first gas concentration value; the first standard gas concentration value is a gas concentration value monitored by the gas sensor under the condition that the monitoring environment of the gas sensor meets standard monitoring conditions;
and determining a first data correction model under the preset temperature interval and the preset humidity interval according to the first gas concentration value and the first standard concentration value.
In one embodiment, the plurality of predetermined temperature ranges includes a first temperature range, a second temperature range, a third temperature range and a fourth temperature range, wherein the first temperature range is-10 to 0 ℃, the second temperature range is 1 to 20 ℃, the third temperature range is 21 to 70 ℃, and the fourth temperature range is greater than 71 ℃;
the preset humidity intervals comprise a first humidity interval, a second humidity interval and a third humidity interval, wherein the first humidity interval is 0-40% RH, the second humidity interval is 41-70% RH, and the third humidity interval is greater than 70% RH.
In one embodiment, the step of modifying the monitoring data using the first data modification model comprises:
acquiring the actual accumulated working time of the gas sensor;
determining a second data correction model according to the actual accumulated working time, correcting the monitoring data by using the second data correction model, and taking the corrected monitoring data as reference value data;
and correcting the reference value data by using the first data correction model.
In one embodiment, the method for correcting the monitoring data of the gas sensor further comprises the following steps:
acquiring a plurality of second gas concentration values monitored by the gas sensor; wherein, the accumulated working time of the gas sensor is positioned in a preset accumulated working interval;
acquiring a second standard concentration value corresponding to each second gas concentration value detected by a standard sensor, wherein the standard sensor is a gas sensor with the accumulated working time of 0;
and determining a second data correction model in the preset accumulative working interval according to the second gas concentration value and the second standard concentration value.
In a second aspect, there is provided a cooking apparatus comprising:
a cooking cavity;
a gas sensor for monitoring the gas concentration of the cooking cavity;
an environmental parameter sensor for monitoring an environmental parameter of the gas sensor;
and a controller connected to the gas sensor and the environmental parameter sensor module, the controller including a memory and a processor, the memory storing a computer program, and the processor implementing the method for correcting the monitoring data of the gas sensor according to any one of the first aspect.
In one embodiment, the environmental parameter sensing module further comprises a temperature sensor for monitoring a temperature parameter of the monitored environment of the gas sensor and/or a humidity sensor for monitoring a humidity parameter of the monitored environment of the gas sensor.
In one embodiment, the gas sensor is arranged in the cooking cavity close to a gas outlet of the cooking cavity and used for monitoring the gas concentration of the gas outlet; the environmental parameter sensing module is arranged at the position of the air outlet of the cooking cavity and used for monitoring the environmental parameters of the air outlet.
In a third aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, implements the method for modifying monitoring data of a gas sensor according to any one of the first aspect.
According to the method for correcting the monitoring data of the gas sensor, the first data correction model is determined based on the acquired environmental parameters of the gas sensor, and the monitoring data of the gas sensor is corrected by using the first data correction model, so that the error of the monitoring data of the gas sensor is reduced, and the detection accuracy of the gas sensor is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flowchart of a method for correcting monitoring data of a gas sensor according to a first embodiment;
FIG. 2 is a flow diagram illustrating a process for determining a first data modification model based on environmental parameters, according to one embodiment;
FIG. 3 is a schematic flowchart of a method for correcting monitoring data of a gas sensor according to a second embodiment;
FIG. 4 is a flow diagram illustrating a process for modifying monitor data using a first data modification model, according to one embodiment;
FIG. 5 is a flowchart illustrating a method for correcting monitoring data of a gas sensor according to a third embodiment;
fig. 6 is a block diagram of an apparatus for correcting monitoring data of a gas sensor according to an embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
The gas sensor can realize the detection of various gas concentrations, such as carbon monoxide, hydrogen, ammonia gas and the like, and the concentration of corresponding gas in the environment is monitored through the gas sensor, so that the safety monitoring in production or life is convenient to realize. However, in practical applications, the detection accuracy of the gas sensor may be degraded due to the high-temperature and high-humidity environment.
Based on the above reasons, the embodiment of the application provides a method for correcting monitoring data of a gas sensor, the method determines a first data correction model based on acquired environmental parameters of the gas sensor, and then corrects the monitoring data of the gas sensor by using the first data correction model, so that errors of the monitoring data of the gas sensor are reduced, and the detection accuracy of the gas sensor is improved.
Referring to fig. 1, a flow chart of a method for correcting monitoring data of a gas sensor according to a first embodiment of the present application is shown. As shown in fig. 1, the method for correcting the monitoring data of the gas sensor may include the following steps:
s102: and acquiring monitoring data of the gas sensor.
It can be understood that the gas sensor is a sensor for detecting the composition and content of gas, and the gas sensor provided in the embodiments of the present application mainly refers to a sensor for detecting the content of gas. Alternatively, the gas sensor may be an electrochemical gas sensor or a semiconductor type gas sensor. Optionally, the gas sensor is a smoke sensor. It should be noted that the gas sensor can convert the gas content to be measured into a corresponding electric signal, but since a technician designs the gas sensor under a specific environment (hereinafter referred to as standard monitoring conditions), the corresponding relationship of the electric signal and the gas content to be measured is matched under the standard monitoring conditions, and the standard monitoring conditions of different gas sensors are different. In an alternative embodiment of the present application, this embodiment provides a gas sensor with standard monitoring conditions having a temperature parameter of 25 ℃ and a humidity parameter of 40% RH. It is to be understood that the embodiments of the present application are not limited to the type of gas sensor of the selected embodiment, as long as it can detect the concentration of the gas to be measured.
S104: an environmental parameter of the gas sensor is acquired.
It should be explained that the environmental parameter of the gas sensor is parameter data of the monitored environment in which the gas sensor is located, and the environmental parameter affects the measurement accuracy of the gas sensor. Optionally, the environmental parameter may include a temperature parameter. Optionally, the environmental parameter may include a humidity parameter. Optionally, the environmental parameters may include temperature parameters and humidity parameters.
S106: and determining a first data correction model according to the environmental parameters, and correcting the monitoring data by using the first data correction model.
It should be noted that the gas sensor monitoring data and the actual gas content to be measured are matched under standard monitoring conditions as described above. When the gas sensor is used to monitor the actual concentration of the gas to be measured in the actual monitoring environment, the monitoring data of the gas sensor has an error because the environmental parameters of the standard monitoring condition are different from the environmental parameters of the gas sensor (the environmental parameters of the actual monitoring environment). The first data correction model is determined according to the environmental parameters of the gas sensor, the monitoring data of the gas sensor are corrected by the first data correction model, and monitoring errors caused by the fact that the environmental parameters of the gas sensor are different from the environmental parameters of the standard monitoring conditions are reduced. The influence on the gas sensor is different because the environmental parameters are different. Optionally, the first data modification model is a linear function.
According to the method for correcting the monitoring data of the gas sensor, the first data correction model is determined based on the acquired environmental parameters of the gas sensor, and the monitoring data of the gas sensor is corrected by using the first data correction model, so that the error of the monitoring data of the gas sensor is reduced, and the detection accuracy of the gas sensor is improved.
In an alternative embodiment of the present application, the environmental parameters may include a temperature parameter and a humidity parameter. Referring to fig. 2, an exemplary technical process of "determining a first data modification model according to an environmental parameter" provided by an embodiment of the present application is shown. As shown in fig. 2, the technical process may include the following steps:
s202: and determining a target temperature interval, wherein the target temperature interval is a preset temperature interval in which the temperature parameters in the plurality of preset temperature intervals are located.
It can be understood that the gas sensor should operate within an operating temperature range to ensure proper operation of the gas sensor. In an alternative embodiment of the present application, the gas sensor is an electrochemical gas sensor operating at a temperature of-20 ℃ to 70 ℃. It can be understood that the present application does not limit the dividing manner and the number of the preset temperature intervals.
In an optional embodiment of the present application, the plurality of preset temperature intervals includes a first temperature interval, a second temperature interval, a third temperature interval, and a fourth temperature interval. Specifically, the first temperature range is-10 to 0 ℃, the second temperature range is 1 to 20 ℃, the third temperature range is 21 to 70 ℃, and the fourth temperature range is more than 71 ℃.
S204: and determining a target humidity interval, wherein the target humidity interval is a preset humidity interval in which the humidity parameters in the multiple preset humidity intervals are located.
It will be appreciated that the gas sensor should operate within an operating humidity range to ensure proper operation of the gas sensor. In an alternative embodiment of the present application, the gas sensor is an electrochemical gas sensor with an operating humidity of 10-95% RH (no condensation). It is understood that the dividing manner and the number of the preset humidity intervals are not limited in the present application.
In an optional embodiment of the present application, the plurality of preset humidity intervals includes a first humidity interval, a second humidity interval and a third humidity interval. Specifically, the first humidity range is 0-40% RH, the second humidity range is 41-70% RH, and the third humidity range is greater than 70% RH.
S206: and determining a first data correction model according to the target temperature interval and the target humidity interval.
In an alternative embodiment of the present application, the first data modification model is a linear function; the plurality of preset temperature intervals comprise a first temperature interval, a second temperature interval, a third temperature interval and a fourth temperature interval. Specifically, the first temperature interval is-10 to 0 ℃, the second temperature interval is 1 to 20 ℃, the third temperature interval is 21 to 70 ℃, and the fourth temperature interval is more than 71 ℃; the plurality of preset humidity intervals comprise a first humidity interval, a second humidity interval and a third humidity interval. Specifically, the first humidity range is 0-40% RH, the second humidity range is 41-70% RH, and the third humidity range is greater than 70% RH.
In the preset temperature interval and the preset humidity interval, the slope and the y-axis intercept of the first data correction model are approximately equal or equal, so that the first data correction model corresponding to the preset temperature interval and the preset humidity interval can be established by acquiring a limited number of first gas concentration values and first standard concentration values corresponding to the first gas concentration values.
Referring to fig. 3, a flow chart of a method for correcting monitoring data of a gas sensor according to a second embodiment of the present application is shown. As shown in fig. 3, the method for correcting the monitoring data of the gas sensor may further include the following steps:
s302: the method comprises the steps of obtaining a plurality of first gas concentration values monitored by a gas sensor under the condition that the monitoring environment of the gas sensor meets preset monitoring conditions.
Specifically, the preset monitoring condition means that the temperature parameter of the monitoring environment is located in a preset temperature range, and the humidity parameter of the monitoring environment is located in a preset humidity range.
S304: first standard concentration values corresponding to each of the first gas concentration values are acquired.
Specifically, the first standard gas concentration value is a gas concentration value monitored by the gas sensor under the condition that the monitoring environment of the gas sensor meets the standard monitoring condition. Specifically, the standard monitoring condition is that the monitoring environment temperature parameter of the gas sensor is the temperature parameter of the standard monitoring condition, and the monitoring environment humidity parameter of the gas sensor is the humidity parameter of the standard monitoring condition. The temperature parameter of the standard monitoring condition and the humidity parameter of the standard monitoring condition may be determined according to a design condition of the gas sensor. It should be noted that the first standard concentration value corresponding to the first gas concentration value means that the first gas concentration value and the first standard concentration value are gas concentration values measured in the same gas concentration environment.
In an alternative embodiment of the present application, a heating device, a humidifying device, a drying device, a device for generating a gas to be measured, and a device for absorbing the gas to be measured are provided in a closed space. The temperature parameter of the monitoring environment of the gas sensor is adjusted through the heating device, the humidity parameter of the monitoring environment of the gas sensor is adjusted through the humidifying device and the drying device, and the concentration of the gas to be detected in the closed space is adjusted through the generating device of the gas to be detected and the absorbing device of the gas to be detected. According to the embodiment of the application, the heating device, the humidifying device, the drying device, the generating device of the gas to be detected and the absorbing device of the gas to be detected are used for changing the temperature parameter, the humidity parameter and the gas concentration in the closed space so as to obtain a plurality of groups of first gas concentration values and first standard concentration values.
S306: and determining a first data correction model under a preset temperature interval and a preset humidity interval according to the first gas concentration value and the first standard concentration value.
It should be noted that, the number of the first gas concentration values to be acquired is not limited in the embodiments of the present application, as long as the first data correction model can be obtained by using the number of the first gas concentration values and the first standard concentration value. Note that the number of the first data correction models is the number of free combinations of the preset temperature interval and the preset humidity interval. If the temperature interval is divided into n preset temperature intervals and the humidity interval is divided into m humidity intervals, the number of the first data correction models is
For example: the ambient temperature is divided into a first temperature range (-10-0 ℃), a second temperature range (1-20 ℃) and a third temperature range (21-70 ℃). The environmental humidity is divided into a first humidity range (0-40% RH), a second humidity range (41-70% RH), and a third humidity range (more than 70% RH).
Assuming that the monitoring data of the gas sensor is X, the corrected monitoring data of the gas sensor is T, and the first data correction model is T ═ aX + b;
the first data correction model corresponding to the first temperature interval and the first humidity interval is as follows: a is T ═ a1X+b1；
The first data correction model corresponding to the first temperature interval and the second humidity interval is as follows: a is T ═ a2X+b2；
The first data correction model corresponding to the first temperature interval and the third humidity interval is as follows: a is T ═ a3X+b3；
The first data correction model corresponding to the second temperature interval and the first humidity interval is as follows: a is T ═ a4X+b4；
The second temperature interval and the first humidity interval correspond to the first temperature interval and the second humidity intervalThe data correction model is as follows: a is T ═ a5X+b5；
The first data correction model corresponding to the second temperature interval and the third humidity interval is as follows: a is T ═ a6X+b6；
The first data correction model corresponding to the third temperature interval and the first humidity interval is as follows: a is T ═ a7X+b7；
The first data correction model corresponding to the third temperature interval and the second humidity interval is as follows: a is T ═ a8X+b8；
The first data correction model corresponding to the third temperature interval and the third humidity interval is as follows: a is T ═ a9X+b9.
Wherein, a1-a9And b1-b9Respectively, the correction constants are in the corresponding temperature interval and the corresponding humidity interval.
When the temperature parameter of the gas sensor is in a first temperature interval and the humidity parameter is in a first humidity interval, measuring 5 groups of first gas concentration values and corresponding first standard concentration values, and substituting the 5 groups of first gas concentration values and the first standard concentration values into a first data correction model to obtain a1And b1. In the same way, a2-a9And b2-b9A and a1And b1The calculation process is the same, and is not described herein again.
Referring to fig. 4, an exemplary technical process of "modifying monitoring data using a first data modification model" provided by the embodiment of the present application is shown. As shown in fig. 4, the technical process may include the following steps:
s402: and acquiring the actual accumulated working time of the gas sensor.
It should be noted that the actual accumulated operating time of the gas sensor is the current accumulated operating time of the gas sensor.
S404: and determining a second data correction model according to the actual accumulated working time, correcting the monitoring data by using the second data correction model, and taking the corrected monitoring data as reference value data.
It should be noted that the measurement accuracy of the gas sensor may decrease with the increase of the usage time of the gas sensor, for example, as the usage time of the gas sensor is longer, the attachment thereon may increase, which may cause the measurement accuracy of the gas sensor to decrease, and the different accumulated operation time may have different influences on the monitoring data of the gas sensor, so that the monitoring error caused by the operation time of the gas sensor may be reduced by determining the second data correction model according to the actual accumulated operation time of the gas sensor and correcting the monitoring data by using the second data correction model. In an alternative embodiment of the present application, the second data modification model is a linear function.
S406: the reference value data is corrected using the first data correction model.
The description of the first data modification model is detailed in the above embodiments, and is not repeated here.
The method for correcting monitoring data of a gas sensor provided in the above embodiment considers the environmental parameters of the gas sensor and the accumulated working time of the gas sensor, determines the second data correction model according to the actual accumulated working time, determines the first data correction model according to the environmental parameters, corrects the monitoring data by using the second data correction model, and corrects the corrected monitoring data by using the first data correction model, thereby greatly reducing the error of the monitoring data of the gas sensor and improving the monitoring accuracy of the gas sensor.
In an optional embodiment of the present application, the accumulated operating time is divided to form a plurality of preset accumulated operating intervals. It can be understood that the embodiment of the present application does not limit the dividing manner of the accumulated working time and the number of the preset accumulated working intervals. Optionally, the preset accumulative work intervals include a first accumulative work interval, a second accumulative work interval and a third accumulative work interval. Specifically, the first cumulative operating interval is 0-100 hours, the second cumulative operating interval is 100-200 hours, and the third cumulative operating interval is more than 200 hours.
Referring to fig. 5, a flow chart of a method for correcting monitoring data of a gas sensor according to a third embodiment of the present application is shown. As shown in fig. 5, the method for correcting the monitoring data of the gas sensor may further include the following steps:
s502: and acquiring a plurality of second gas concentration values monitored by the gas sensor.
Specifically, the accumulated operating time of the gas sensor is within a preset accumulated operating interval.
S504: and acquiring second standard concentration values corresponding to each second gas concentration value monitored by the standard sensor.
Specifically, the standard sensor is a gas sensor with an accumulated operating time of 0. The second standard concentration value corresponding to the second gas concentration value means that the second gas concentration value and the second standard concentration value are gas concentration values measured in the same gas concentration environment.
S506: and determining a second data correction model in a preset accumulative working interval according to the second gas concentration value and the second standard concentration value.
It should be noted that, in the embodiments of the present application, the number of the second gas concentration values that need to be obtained is not limited, as long as the second data correction model can be obtained by using the number of the second gas concentration values and the second standard concentration value. It can be understood that the second data correction model corresponds to the preset accumulation working interval one to one.
For example: the accumulated working time is divided into a first accumulated working interval (0-100 hours), a second accumulated working interval (100-200 hours), and a third accumulated working interval (more than 200 hours).
Suppose the monitoring data of the gas sensor is ToldAnd the corrected monitoring data of the gas sensor is TnewThe first data correction model is Tnew＝cTold+d；
The second data correction model corresponding to the first accumulated working interval is: t isnew＝c1Told+d1；
The second data correction model corresponding to the second accumulated working interval is: t isnew＝c2Told+d2；
Then the third is tiredThe second data correction model corresponding to the working interval is as follows: t isnew＝c3Told+d3；
Wherein, c1-c3And d1-d3Respectively, the correction constants under the corresponding accumulated working interval.
Measuring 5 second gas concentration values by using the gas sensor with the accumulated working time in the first accumulated working interval, measuring corresponding 5 second standard concentration values by using the standard sensor, and substituting the 5 groups of second gas concentration values and the second standard concentration values into a second data correction model to obtain c1And d1. In the same way, c2-c3And d2-d3C and c1And d1The calculation process is the same, and is not described herein again.
It should be understood that although the various steps in the flow charts of fig. 1-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps or stages.
Referring to fig. 6, a block diagram of a device 600 for correcting monitoring data of a gas sensor provided in the present application is shown. As shown in fig. 6, the apparatus 600 for correcting the monitoring data of the gas sensor may include: a first acquisition module 602, a second acquisition module 604, and a correction module 606.
Specifically, the first obtaining module 602 is configured to obtain monitoring data of the gas sensor, the second obtaining module 604 is configured to obtain an environmental parameter of the gas sensor, and the correcting module 606 is configured to determine a first data correcting model according to the environmental parameter, and correct the monitoring data by using the first data correcting model.
In an optional embodiment of the present application, the gas sensor monitoring data provided in the above embodiments may further include a third acquisition module. Specifically, the third obtaining module is used for obtaining the actual accumulated working time of the gas sensor. In an optional embodiment of the present application, the third obtaining module includes a storage unit and a obtaining unit. Specifically, the storage unit is used for storing historical operating time, and the acquisition unit is used for acquiring the operating time of the gas sensor in the current operation, so that the actual accumulated operating time is the sum of the historical operating time and the operating time in the current operation.
Specific limitations of the correction device for the monitoring data of the gas sensor can be referred to the above limitations of the correction method for the monitoring data of the gas sensor, and will not be described herein again. The modules in the device for correcting the monitoring data of the gas sensor can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
In an alternative embodiment of the present application, there is provided a cooking apparatus comprising a cooking cavity, a gas sensor, an environmental parameter sensing module, and a controller.
In particular, the cooking cavity may be used for placing food to be cooked. The gas sensor is used for monitoring the gas concentration of the cooking cavity. The environmental parameter sensing module is used for monitoring the environmental parameters of the gas sensor. The controller comprises a memory storing a computer program and a processor implementing the steps of the above described method embodiments when executing the computer program.
Optionally, the cooking device may be one of a microwave oven, an oven, a micro-baking all-in-one machine, and a micro-steaming and baking all-in-one machine. It should be noted that the gas sensor may monitor the concentration of gas that needs to be monitored. Optionally, the gas sensor is a smoke sensor. In particular, smoke sensors may be used to monitor carbon monoxide concentrations.
The embodiment monitors the gas concentration of the cooking equipment required to be monitored by arranging the gas sensor in the cooking equipment, and judges whether food to be cooked in the cooking cavity is burnt or overfire through monitoring data. Furthermore, the environmental parameters of the gas sensor are monitored through the environmental parameter sensing module, the monitoring data of the gas sensor are corrected according to the environmental parameters monitored by the environmental parameter sensor, the error of the monitoring data of the gas sensor is reduced, and the misjudgment of the food cooking condition is reduced.
In an optional embodiment of the present application, the cooking apparatus may further include a determination module and a shut-off module. Specifically, the judgment module may be configured to compare the monitoring data of the gas sensor with a preset gas concentration. The turn-off module is used for disconnecting the heating device of the cooking equipment when the monitoring data of the gas sensor is larger than the preset gas concentration, so that food is prevented from being burnt or overfire, and waste of food materials and air pollution are avoided. It should be noted that when the concentration of the gas to be detected reaches the preset gas concentration, it indicates that the food is about to be burnt.
Optionally, the determining module may be further configured to output an indication signal to the turn-off module when the monitoring data of the gas sensor is greater than the preset gas concentration, so that the turn-off module turns off the heating device of the cooking apparatus.
In an alternative embodiment of the present application, the environmental parameter sensing module provided in the above embodiment may include a temperature sensor and/or a humidity sensor. Optionally, the environmental parameter sensing module may include a temperature sensor. Optionally, the environmental parameter sensing module may include a humidity sensor. And (4) optional. The environmental parameter sensing module may include a temperature sensor and a humidity sensor.
Specifically, the temperature sensor is used for monitoring a temperature parameter of a monitoring environment of the gas sensor, and the humidity sensor is used for monitoring a humidity parameter of the monitoring environment of the gas sensor. In an optional embodiment of the present application, the gas sensor is disposed at a position of the cooking cavity close to the gas outlet, and the temperature sensor and the humidity sensor are also disposed at a position of the cooking cavity close to the gas outlet, so as to ensure that a temperature parameter monitored by the temperature sensor is consistent with an ambient temperature of the gas sensor, and a humidity parameter monitored by the humidity sensor is consistent with an ambient humidity of the gas sensor.
It should be noted that the cooking cavity is provided with an air outlet, so that air in the cooking cavity is communicated with outside air. In an optional embodiment of the present application, the gas sensor is disposed in the cooking cavity near the gas outlet for monitoring the gas concentration at the gas outlet; meanwhile, the environmental parameter sensing module is also arranged at the position of the cooking cavity close to the air outlet and used for monitoring the environmental parameters of the air outlet.
According to the embodiment, the gas sensor and the environmental parameter sensor are both arranged at the position, close to the gas outlet of the cooking cavity, so that the environmental parameters monitored by the environmental parameter sensing module are consistent with the environmental parameters of the gas sensor.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for correcting monitoring data of a gas sensor is characterized by comprising the following steps:
acquiring monitoring data of a gas sensor;
acquiring an environmental parameter of the gas sensor;
and determining a first data correction model according to the environmental parameters, and correcting the monitoring data by using the first data correction model.
2. The method of claim 1, wherein the environmental parameter comprises a temperature parameter and/or a humidity parameter of a monitored environment of the gas sensor.
3. The method of claim 2, wherein the environmental parameters include the temperature parameter and the humidity parameter;
the determining a first data modification model according to the environmental parameter comprises:
determining a target temperature interval, wherein the target temperature interval is a preset temperature interval in which the temperature parameter is located in a plurality of preset temperature intervals;
determining a target humidity interval, wherein the target humidity interval is a preset humidity interval in which the humidity parameters are located in a plurality of preset humidity intervals;
and determining the first data correction model according to the target temperature interval and the target humidity interval.
4. The method of modifying gas sensor monitoring data as set forth in claim 3, further including:
acquiring a plurality of first gas concentration values monitored by the gas sensor under the condition that the monitoring environment of the gas sensor meets a preset monitoring condition; the preset monitoring condition refers to that the temperature parameter of the monitoring environment is located in the preset temperature interval, and the humidity parameter of the monitoring environment is located in the preset humidity interval;
acquiring a first standard concentration value corresponding to each first gas concentration value; wherein the first standard gas concentration value is a gas concentration value monitored by the gas sensor under the condition that a monitoring environment of the gas sensor meets standard monitoring conditions;
and determining a first data correction model under the preset temperature interval and the preset humidity interval according to the first gas concentration value and the first standard concentration value.
5. The method of claim 1, wherein the step of modifying the monitoring data using the first data modification model comprises:
acquiring the actual accumulated working time of the gas sensor;
determining a second data correction model according to the actual accumulated working time, correcting the monitoring data by using the second data correction model, and taking the corrected monitoring data as reference value data;
and correcting the reference value data by using the first data correction model.
6. The method of modifying gas sensor monitoring data as set forth in claim 5, further including:
acquiring a plurality of second gas concentration values monitored by the gas sensor; the accumulated working time of the gas sensor is positioned in a preset accumulated working interval;
acquiring a second standard concentration value corresponding to each second gas concentration value monitored by a standard sensor; the standard sensor is a gas sensor with the accumulated working time of 0;
and determining a second data correction model in the preset accumulative working interval according to the second gas concentration value and the second standard concentration value.
7. A cooking apparatus, characterized by comprising:
a cooking cavity;
a gas sensor for monitoring a gas concentration of the cooking cavity;
the environment parameter sensing module is used for monitoring the environment parameters of the gas sensor;
a controller connected to the gas sensor and the environmental parameter sensing module, comprising a memory storing a computer program and a processor implementing the steps of the method according to any one of claims 1 to 6 when the processor executes the computer program.
8. The cooking apparatus of claim 7, wherein the environmental parameter sensing module comprises a temperature sensor for monitoring a temperature parameter of a monitored environment of the gas sensor and/or a humidity sensor for monitoring a humidity parameter of a monitored environment of the gas sensor.
9. The cooking apparatus according to claim 7, wherein the gas sensor is disposed in the cooking cavity near a gas outlet of the cooking cavity for monitoring a gas concentration at the gas outlet; the environment parameter sensing module is arranged at a position, close to the air outlet of the cooking cavity, of the cooking cavity and used for monitoring the environment parameters of the air outlet.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114002384A (en) * | 2021-10-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Cooking equipment and gas sensor array correction method and device thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2154435A2 (en) * | 2008-08-06 | 2010-02-17 | Rational AG | Cooking device and method for monitoring a cooking process |
| CN102736645A (en) * | 2012-06-28 | 2012-10-17 | 北京雪迪龙科技股份有限公司 | Standard gas distributing instrument and temperature compensation control device and temperature compensation method |
| CN105180233A (en) * | 2015-08-27 | 2015-12-23 | 广东美的厨房电器制造有限公司 | Method and device for correcting temperature measuring errors of infrared sensor of microwave oven |
| CN106053724A (en) * | 2016-05-25 | 2016-10-26 | 深圳市欧瑞博电子有限公司 | Cloud computing-based gas sensor precision compensating method and device |
| CN110018275A (en) * | 2019-04-10 | 2019-07-16 | 南京能启能电子科技有限公司 | A kind of gas detector with compensation function and compensation method |
| CN111059583A (en) * | 2019-12-30 | 2020-04-24 | 广东美的厨房电器制造有限公司 | Control method, microwave cooking apparatus, and computer-readable storage medium |
| CN111752170A (en) * | 2019-03-28 | 2020-10-09 | 青岛海尔智能技术研发有限公司 | Intelligent cooking method and device |
-
2021
- 2021-04-22 CN CN202110435447.1A patent/CN113189272A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2154435A2 (en) * | 2008-08-06 | 2010-02-17 | Rational AG | Cooking device and method for monitoring a cooking process |
| CN102736645A (en) * | 2012-06-28 | 2012-10-17 | 北京雪迪龙科技股份有限公司 | Standard gas distributing instrument and temperature compensation control device and temperature compensation method |
| CN105180233A (en) * | 2015-08-27 | 2015-12-23 | 广东美的厨房电器制造有限公司 | Method and device for correcting temperature measuring errors of infrared sensor of microwave oven |
| CN106053724A (en) * | 2016-05-25 | 2016-10-26 | 深圳市欧瑞博电子有限公司 | Cloud computing-based gas sensor precision compensating method and device |
| CN111752170A (en) * | 2019-03-28 | 2020-10-09 | 青岛海尔智能技术研发有限公司 | Intelligent cooking method and device |
| CN110018275A (en) * | 2019-04-10 | 2019-07-16 | 南京能启能电子科技有限公司 | A kind of gas detector with compensation function and compensation method |
| CN111059583A (en) * | 2019-12-30 | 2020-04-24 | 广东美的厨房电器制造有限公司 | Control method, microwave cooking apparatus, and computer-readable storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114002384A (en) * | 2021-10-28 | 2022-02-01 | 珠海格力电器股份有限公司 | Cooking equipment and gas sensor array correction method and device thereof |
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