CN112326895A - Sensitivity compensation method and related product - Google Patents
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Abstract
The embodiment of the application provides a sensitivity compensation method and a related product, wherein the method comprises the following steps: determining a floating average value of the smoke concentration of the sensor in a preset time period under the current environment; determining the sensitivity condition of the sensor according to the floating average value; and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate. The embodiment of the application is favorable for improving the detection precision of the sensor.
Description
Technical Field
The application relates to the technical field of sensors, in particular to a sensitivity compensation method and a related product.
Background
Along with social progress, the living standard of people is continuously improved, people pay more and more attention to self safety, and the loss caused by fire disasters in the society every year is huge. The consumer market of household security equipment is also continuously expanded, Smoke alarm products are also explosively increased on the market, but almost all semiconductor devices are affected by the environment and time, and in addition, the performance stability of the sensor fluctuates, and almost all products can toggle the detection precision of Smoke and the actual Smoke concentration along with the time. Currently, the most stringent certification of smoke alarm products is performed by the certification authorities BSI and UL in europe and north america. Even so, it is very difficult to completely meet the certification requirement, and therefore, improving the detection precision of the alarm product is an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides a sensitivity compensation method and a related product, which are beneficial to improving the detection precision of a sensor and improving the detection precision of smoke concentration.
A first aspect of an embodiment of the present application provides a sensitivity compensation method applied to an electronic device, including:
determining a floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
determining the sensitivity condition of the sensor according to the floating average value;
and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
A second aspect of the embodiments of the present application provides a sensitivity compensation apparatus, which is applied to an electronic device, and the apparatus includes: a determination unit and a sensitivity compensation unit, wherein,
the determining unit is used for determining the floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
the determining unit is further used for determining the sensitivity condition of the sensor according to the floating average value;
the sensitivity compensation unit is used for acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient if the sensitivity condition meets a first preset condition, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
A third aspect of embodiments of the present application provides an electronic device, including: a processor and a memory; and one or more programs stored in the memory and configured to be executed by the processor, the programs including instructions for some or all of the steps as described in the first aspect.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, where the computer-readable storage medium is used to store a computer program, where the computer program is used to make a computer execute some or all of the steps described in the first aspect of embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that, by applying the sensitivity compensation method and the related product described in the embodiments of the present application to electronic devices, the floating average value of the smoke concentration of the sensor in a preset time period in the current environment can be determined; determining the sensitivity condition of the sensor according to the floating average value; and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate. Therefore, the floating average value of the smoke concentration of the sensor in the current environment in the preset time period can be determined, and the sensitivity of the sensor is compensated through the floating average value, so that the sensitivity of the sensor is dynamically calibrated, and the detection precision of the sensor is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1A is a system architecture diagram of a sensitivity compensation method according to an embodiment of the present application;
fig. 1B is a schematic structural diagram of an intelligent alarm operating system according to an embodiment of the present application;
fig. 1C is a schematic flowchart of an embodiment of a sensitivity compensation method provided in an embodiment of the present application;
FIG. 1D is a graphical representation of the information provided by an embodiment of the present application as a function of sensor characteristics as a function of environmental parameters;
fig. 1E is a schematic diagram of information push provided in the embodiment of the present application;
FIG. 2 is a schematic flowchart of an embodiment of a sensitivity compensation method provided in an embodiment of the present application;
FIG. 3 is a schematic flowchart of an embodiment of a sensitivity compensation method provided in an embodiment of the present application; (ii) a
Fig. 4 is a schematic structural diagram of an embodiment of an electronic device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a sensitivity compensation apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to better understand the sensitivity compensation method and the related product provided by the embodiments of the present application, a system architecture of the sensitivity compensation method applied to the embodiments of the present application is described below.
The electronic device according to the embodiment of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like. For convenience of description, the above-mentioned apparatuses are collectively referred to as an electronic apparatus, and one or more sets of sensors may be loaded in the electronic apparatus.
The following describes embodiments of the present application in detail.
Referring to fig. 1A, fig. 1A is a schematic diagram of a system architecture of a sensitivity compensation method according to an embodiment of the present disclosure. As shown in fig. 1A, the system architecture may include: the device comprises a constant current generator, a sensor group, a voltage data collector and a voltage-current converter.
The sensor can be any one or more groups of sensors for detecting the smoke concentration.
The constant current generator is a special instrument for sampling pollutants such as formaldehyde, ammonia, benzene, TVOC and the like in the air.
The voltage data collector is used for collecting a floating average value of smoke concentration, the floating average value can be represented by a voltage value, the voltage-current converter is used for representing the output characteristic of the sensor, and the voltage-current converter can convert the output characteristic into the voltage value to be transmitted to the voltage data collector for representing the sensitivity of the sensor.
In a specific implementation, when the smoke concentration in the environment increases, the corresponding voltage value or current value in the internal circuit of the sensor and the smoke concentration change in a proportional manner, that is, the voltage value or current value also increases with the increase of the smoke concentration, and the current value can be converted into the voltage value through the voltage-current converter, so as to more clearly express the internal output characteristics of the sensor, that is, the characteristics of the sensor, such as sensitivity, etc.
Referring to fig. 1B, fig. 1B is a schematic structural diagram of an intelligent alarm operating system according to an embodiment of the present application.
As shown in fig. 1B, the intelligent alarm may include a sensor group provided in the embodiment of the present application as shown in fig. 1A, and in practical applications, the sensor group may include a plurality of smoke sensors, and may be installed in the intelligent alarm as shown in fig. 1B, and the intelligent alarm may alarm through the smoke alarm when the smoke concentration in the air reaches a preset concentration.
Wherein, this intelligent alarm can be the intelligent alarm who includes the artificial intelligence chip, and still can include microprocessor among the intelligent alarm, microprocessor and artificial intelligence chip among the intelligent alarm come interconnection communication through the dedicated channel, but microprocessor independent control intelligent alarm work (for example control the change of smog concentration in the above-mentioned sensor detection air), in addition, microprocessor also can be under artificial intelligence chip's the work of control intelligent alarm, wherein, some intelligent control tactics can be exported for microprocessor to the artificial intelligence chip, guide the better work of microprocessor. The microprocessor can construct a microprocessor software platform, the artificial intelligence chip can construct an artificial intelligence chip software platform, the microprocessor software platform and the artificial intelligence chip software platform are two mutually independent software platforms, and the artificial intelligence chip software platform is in communication connection with the microprocessor software platform.
The artificial intelligence chip and the microprocessor can be in communication connection with a main control center, a repeater or other equipment through a Bluetooth communication module or a wired link, and two or more alarms can form an alarm group. The mobile terminal can control the microprocessor to enter a sleep state from an awakening state by sending a sleep instruction to the microprocessor of any one intelligent alarm in the intelligent alarm group (the intelligent alarm group comprises at least two paired alarms), and when the microprocessor of the intelligent alarm is in the sleep state, the alarm function (such as an audio alarm function or a photoelectric alarm function) of the intelligent alarm fails. The main control center can also instruct the artificial intelligence chip to inform the microprocessor to enter the awakening state from the dormancy state by sending an awakening instruction to the artificial intelligence chip of the intelligent alarm. In some possible embodiments, the artificial intelligence chip may always be in the wake-up state when the power is normally supplied. In some possible embodiments, the microprocessor in the sleep state can only receive the instruction from the artificial intelligence chip, that is, the dedicated channel between the microprocessor and the artificial intelligence chip is not closed at this time, but all other communication channels of the microprocessor are in the closed state, wherein the microprocessor in the sleep state can only receive the instruction from the artificial intelligence chip, that is, the microprocessor in the sleep state can only be woken up by the artificial intelligence chip. When the artificial intelligence chip awakens the failure of microprocessor in the dormant state, the artificial intelligence chip can be switched to the microprocessor working mode, the microprocessor is replaced to control the intelligent alarm to work in the coming time, when the artificial intelligence chip is switched to the microprocessor working mode, and the artificial intelligence chip is equivalent to the role of the microprocessor for other components in the intelligent alarm.
In this embodiment, the above-mentioned intelligent alarm can detect the smog concentration in the air through the sensor in this embodiment of this application, and send microprocessor to help this microprocessor control intelligent alarm work under artificial intelligence chip's guide, for example, if this intelligent alarm includes the pilot lamp, information such as the scintillation of accessible intelligent alarm pilot lamp or the normal light is in order to indicate user's present Smoke (smog) concentration exceeds standard etc..
In a specific implementation, the microprocessor or the artificial intelligence chip may determine a floating average value of the smoke concentration of the sensor in different environments, and analyze to obtain different compensation schemes based on the floating average value (for example, by adjusting a current parameter of a transmitting tube in the sensor, or by adjusting a target sensitivity compensation coefficient, etc.), and the microprocessor issues a corresponding instruction to the system shown in fig. 1A by using the compensation schemes, so as to implement sensitivity compensation for the sensor, implement dynamic calibration for the sensitivity of the sensor, and facilitate improvement of detection accuracy of the sensor.
Please refer to fig. 1C, which is a flowchart illustrating an embodiment of a sensitivity compensation method according to the present application. The sensitivity compensation method described in this embodiment, applied to an electronic device, includes the following steps:
101. a floating average of the smoke concentration of the sensor over a preset period of time in the current environment is determined.
The sensor can be in communication connection with the electronic equipment or installed in the electronic equipment, sensitivity compensation can be performed on the sensor through the electronic equipment, and the electronic equipment can detect the smoke concentration in the air through the sensor; the electronic device may be a smoke alarm as shown in figure 1B.
The sensor can be divided into a semiconductor type, an electrochemical type and an infrared type according to the detection principle of the sensor, and the sensitivity of the semiconductor sensor to gas depends on the temperature of a sensitive element to be heated; the electrochemical sensor has the advantages that the current is completely in direct proportion to the gas concentration, and the output signal and the gas concentration are in a good linear relation, so that the signal processing and display are very convenient; the output characteristics of the sensor can therefore be characterized by current or voltage; the other characteristic is that the reaction is carried out at normal temperature, a heater is not needed, but the reaction is also influenced by the temperature in the detection process; the detection principle of infrared sensors is that molecules composed of 2 different atoms have a so-called dipole moment (the product of the dipole length and the charge on one end of the dipole), and when infrared light is irradiated onto a gas, it absorbs light of a specific wavelength determined by the molecular structure of the gas.
In the embodiments of the present application, the type of the sensor is mainly a combination type sensor (including infrared and labyrinth sensors, etc.).
The current environment may refer to an environment when the floating average is determined when the sensor or the electronic device is currently turned on.
Because the output characteristics of the sensor can change along with the change of external environment parameters (such as humidity, temperature, dust, device aging, environmental pollution and the like), the detection precision of the smoke and the actual smoke concentration can be shifted along with the time, and therefore, when the sensor is used for detecting the smoke concentration, the detection precision can be reduced; therefore, the floating average value of the smoke concentration of the sensor in the current environment in the preset time period can be determined, the sensitivity of the sensor is compensated, and the sensitivity of the sensor can be dynamically calibrated by combining the internal characteristics of the sensor, so that the detection precision of the sensor is improved.
For example, as shown in FIG. 1D, a graph is shown of information of sensor characteristics as a function of environmental parameters; as shown in the figure, the output characteristic changes greatly in comparison with the standard environment with the temperature change in the environment, for example, the output characteristic greatly differs from the standard environment with the larger temperature drift. Therefore, the sensor can be subjected to sensitivity compensation so as to reduce the influence of environmental factors (such as temperature and the like) on the detection accuracy of the sensor.
The preset time period can be set by the user or defaulted by the system, and is not limited herein; for example, it can be 1h, 3h, 5h, 1 day, etc., and is not limited herein; in addition, in concrete implementation, because the change degree of the environmental factors can not be changed too much in a short time, the value corresponding to the preset time period can be set to be larger, the smoke concentration under the current environment can be acquired accurately, and the accuracy of the follow-up sensitivity compensation can be improved.
The above-mentioned floating average value may refer to an average value of the smoke concentration detected by the sensor within a preset time period after the electronic device (intelligent alarm) is turned on.
Optionally, before the above-mentioned determination of the floating average value of the smoke concentration of the sensor in the preset time period under the current environment, the following steps may be further included: under a first preset environment, the electronic equipment is placed in a smoke box, and a dynamic response curve is tested; setting a sensitivity voltage threshold according to the dynamic response curve; testing the collected floating average value of a smoke component comprising the sensor in the electronic equipment under a second preset environment; and determining a preset sensitivity adjustment model according to the acquired floating average value and the sensitivity voltage threshold, wherein the preset sensitivity adjustment model is used for dynamically adjusting the sensitivity of the sensor.
The first preset environment may be set by a user or a default of a system, and is not limited herein, for example, the first preset environment may be a constant temperature and humidity environment.
The second predetermined environment may be set by the user or a default of the system, and is not limited herein, for example, the second predetermined environment may be a smokeless environment.
Because the output characteristics of the sensors produced by different sensors or different batches of sensors are different, the sensitivity voltage threshold corresponding to each sensor is also different, and a dynamic response curve can be tested for each sensor or each batch of sensors in advance to obtain the sensitivity voltage threshold corresponding to each sensor; generally, the sensitivity voltage threshold can be set within the range of (0.12-0.18).
The preset sensitivity adjustment model can be set by a user or defaulted by a system, and is not limited herein; for example, the model may be set to:
y＝kx-h+b。
wherein y may refer to an alarm voltage threshold; kx is the floating average; k is the voltage variation of the smoke concentration caused by the performance parameter of the hardware circuit corresponding to the sensor; h is an environment basic voltage value; b is a sensitivity voltage threshold; x may refer to smoke concentration (db).
The electronic equipment can convert the smoke concentration in the air into an alarm voltage threshold, when the alarm voltage threshold is higher, the higher the smoke concentration in the air is, the alarm voltage threshold is used for representing the smoke concentration in the air; the environment basic voltage value can be a voltage value of smoke concentration in the air detected by electronic equipment in a standard environment; in a specific implementation, the floating average is an average of the smoke concentration in a certain period of time, and can also be characterized as a voltage value.
The dynamic response curve may refer to a change in smoke concentration detected by the electronic device along with a change in time, and specifically, the detected smoke concentration at each time point may be tested and plotted in a corresponding coordinate system (for example, an abscissa is time and an ordinate is smoke concentration), so that a plurality of points may be obtained, and the points are connected into a curve, so as to obtain the dynamic response curve.
Therefore, in the embodiment of the application, the sensor can be pre-detected in advance to obtain the standard value or the interval of each parameter in the preset sensitivity adjustment model of the sensor in the standard environment, so that the sensitivity compensation of the sensor in the subsequent process is facilitated, and the calibration of the sensor with inaccurate smoke concentration test caused by environmental change is facilitated.
102. And determining the sensitivity condition of the sensor according to the floating average value.
The sensitivity condition may refer to a fluctuation change condition of the sensitivity corresponding to the sensor in a preset time period under the current environment, and the smoke concentration may be specifically represented as a voltage value, for example, if the voltage value deviates from a voltage transformation value under a standard condition, it may be determined that the sensitivity fluctuation change condition is large, and it may be further determined that the sensitivity detection is inaccurate.
The voltage value collected by the sensor can be changed along with the change of various environmental factors in the environment, the aging of the sensor and other multifactor, so that the sensitivity of the sensor in the intelligent alarm is inaccurate, and false alarm or no alarm is generated.
Wherein the floating average is characterized in a particular implementation as a voltage value by which the condition of the sensitivity variation can be determined.
In one possible example, the above-mentioned determining the sensitivity condition of the sensor according to the floating average value may include the following steps: determining the change rate of the floating average value relative to a preset average value; if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition; and if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
The preset average value can be set by a user or defaulted by a system, and is not limited herein; for example, the preset average value may be set as a voltage value corresponding to the smoke concentration in a preset time period under a standard condition.
The preset interval may be set by the user or default, and is not limited herein.
If the change rate of the floating average value is within the preset interval, it indicates that the change rate of the smoke concentration or the change of the floating average value is within a normal sensitivity change range, for example, if the preset interval is [ a, c ], the minimum value is a, the maximum value is c, if the change rate is within [ a, c ], it indicates that the change condition of the sensitivity is within a normal interval, and if the change rate is less than a, a first preset condition is met, that is, the change condition of the sensitivity is not within the normal interval; if the change rate is larger than c, the change rate can indicate that the change of the floating average value is larger, namely the change condition of the sensitivity does not meet the first preset condition.
The first preset condition may be set by the user or default of the system, and is not limited herein; for example, the first preset condition may be set as a condition that the sensitivity condition of the sensor may be inaccurate due to the current environment, e.g., the sensitivity of the sensor may become more sensitive or may not meet the sensitivity requirement of the sensor, etc.
Optionally, the method further includes: if the change rate is larger than a preset threshold value, pushing preset information to a target user, wherein the preset information is used for reminding the target user that the sensor is abnormal.
The preset threshold and the preset information can be set by a user or defaulted by a system, and are not limited herein; the preset threshold may be set to a value that is much larger than the maximum value within the preset interval.
If the change rate is greater than the preset threshold, it can be determined that the sensitivity compensation of the sensor exceeds the maximum compensation range, the electronic device can automatically push prompt information to a target user to prompt that the sensor is abnormal, the target user can clean the electronic device, and if the electronic device is still in fault after cleaning, it can be determined that the electronic device is damaged.
The target user can correspond to an electronic device and can push the flower preset information to the electronic device so as to prompt the user that a sensor is abnormal and the like; the electronic device may establish a communication connection with the main control center shown in fig. 1B, and the main control center sends the preset information and the electronic device corresponding to the target user.
For example, as shown in fig. 1E, which is a schematic view of information pushing, as shown in the figure, when a sensor is abnormal, the main control center may send push information to the electronic device corresponding to the target user to prompt the target user that the sensor is abnormal, and prompt the target user whether to turn off or not.
103. And if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
The first preset condition may be set by the user or default of the system, and is not limited herein; for example, the first preset condition may be set as a condition that the sensitivity condition of the sensor meets the requirement of the electronic device on the sensitivity of the sensor, but may be inaccurate due to environmental influences.
The electronic device may preset a mapping relationship between the floating average values and the sensitivity compensation coefficients, and each floating average value may correspond to a sensitivity compensation coefficient, which may be the sensitivity voltage threshold b; for example, the operation of compensating for the sensitivity of the sensor can be achieved by adjusting the sensitivity voltage threshold b described above.
When the change rate of the floating change average value is smaller than the minimum value in the preset interval, the sensitivity compensation coefficient corresponding to the floating change average value can be adjusted to adjust the sensitivity of the sensor, so that the sensitivity of the sensor is kept in the preset interval, and the detection accuracy of the sensor or the electronic equipment on the smoke concentration is improved.
In one possible example, the compensating the sensitivity of the sensor according to the mapping relationship may include: determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation; and acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
The preset sensitivity adjustment model may be set by the user or default, and is not limited herein.
In a specific implementation, a target sensitivity compensation coefficient corresponding to the floating average value may be determined through the mapping relationship, the target sensitivity compensation coefficient (sensitivity voltage threshold) is adjusted through the sensitivity voltage threshold (for example, any value within (0.12-0.18)) set according to the dynamic response curve, and the preset sensitivity adjustment model is input after each adjustment to gradually adjust the sensitivity of the sensor, so as to keep the variation rate of the floating average value of the sensor within the preset interval, and thus, the sensitivity of the sensor may be compensated.
Optionally, the method may further include the steps of: inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to obtain target sensitivity; if the target sensitivity does not meet a second preset condition, or if the change rate is greater than the maximum value of the preset interval and less than the preset threshold value, acquiring a current parameter of a transmitting tube in the sensor, wherein the second preset condition is different from the first preset condition, and the second preset condition is used for indicating that the target sensitivity of the sensor cannot be ensured within a normal range by adjusting the target sensitivity compensation coefficient; compensation for the sensitivity is achieved by adjusting the current parameter.
The second preset condition may be set by the user or default of the system, and is not limited herein; the second preset condition is different from the first preset condition, and the second preset condition may be: when the sensitivity compensation coefficient is adjusted to be insufficient to meet the sensitivity requirement of the electronic device or the whole system shown in fig. 1B, that is, the sensitivity of the sensor cannot be compensated by adjusting the target sensitivity compensation coefficient, or the sensitivity of the sensor cannot be maintained within a normal range, the target sensitivity can be considered to not meet the second preset condition.
When the change rate is greater than the maximum value c of the preset interval and less than the preset threshold, it can be considered that the corresponding change of the floating average value is large but not large enough to exceed the preset threshold, that is, the sensor is not abnormal or damaged, the compensation of the sensitivity can be realized by presetting the k value in the sensitivity adjustment model, and specifically, the compensation of the sensitivity of the sensor can be realized by adjusting the current parameter of the transmitting tube in the sensor.
Therefore, in the embodiment of the application, different sensitivity conditions can correspond to different sensitivity compensation schemes, and different parameters in the preset sensitivity adjustment model can be dynamically adjusted based on the sensitivity conditions, so that the dynamic adjustment of the sensitivity is realized, the changes of different environments in the real application are compensated, and the detection precision of the sensor is favorably improved.
Optionally, after the step 102, the following steps may be further included: circularly detecting the smoke concentration value in the current environment at a preset period; judging whether the smoke concentration value reaches an alarm value; if the alarm value is reached, executing smoke alarm operation in a preset mode; if the target sensitivity compensation coefficient is not reached, judging whether the floating average value exceeds a preset interval, if not, executing the step of obtaining the mapping relation between the preset floating average value and the sensitivity compensation coefficient, and determining the target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation; and if so, executing the steps of acquiring the current parameter of the transmitting tube in the sensor and adjusting the current parameter to realize the compensation of the sensitivity.
And judging whether the floating average value exceeds a preset interval or not is to determine whether the smoke concentration exceeds a normal interval of the sensitivity compensation or not.
The preset mode can be set by the user or default of the system, and is not limited herein; the preset mode can be that push information is sent to the electronic equipment corresponding to the user to prompt that the current smoke concentration exceeds the standard; or, the current smoke concentration may be indicated to be over-standard through an indicator light or voice in the electronic device, and the like, and the specific manner is not limited herein.
The preset period may be set by the user or default, and is not limited herein. The preset period may be set to 1s, 5s, 10s, or 3s, etc. Because the detection to the smog concentration needs in time, in case smog concentration change in the environment is great, in order to guarantee the security of being detected the scope, can be with the value setting that the above-mentioned period of presetting corresponds less, can set up to between 3s ~ 10s under the general condition, so, electronic equipment can be in this period of presetting inner loop or the smog concentration in the periodic detection current environment, be favorable to in time detecting the smog concentration under the current environment, in case this smog concentration exceeds standard (reaches above-mentioned alarm value), can in time report to the police through intelligent alarm.
The alarm value can be set by the user or defaulted by the system, and is not limited herein; the alarm value can refer to the maximum smoke concentration allowed in the air, or the maximum smoke concentration acceptable by a human body, or the maximum smoke concentration allowed to be released under the air quality standard, and the like.
Therefore, in the embodiment of the application, because the current environment changes in real time, the sensitivity of the sensor can be corrected under different environmental changes, and different correction modes can be adopted according to different actual conditions, so that the smoke concentration in the air can be accurately measured by compensating the sensitivity of the sensor, the reliability of the sensor, the electronic equipment or the intelligent alarm can be enhanced, the false alarm rate can be reduced, and the stability of the sensitivity of the sensor can be maintained.
It can be seen that, by applying the sensitivity compensation method provided by the embodiment of the application to electronic equipment, the floating average value of the smoke concentration of the sensor in the preset time period under the current environment can be determined; determining the sensitivity condition of the sensor according to the floating average value; and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate. Therefore, the floating average value of the smoke concentration of the sensor in the current environment in the preset time period can be determined, and the sensitivity of the sensor is compensated through the floating average value, so that the sensitivity of the sensor is dynamically calibrated, and the detection precision of the sensor is improved.
In accordance with the above, please refer to fig. 2, which is a flowchart illustrating an embodiment of a sensitivity compensation method according to an embodiment of the present application. The sensitivity compensation method described in this embodiment is applied to an electronic device, and includes the following steps:
201. a floating average of the smoke concentration of the sensor over a preset period of time in the current environment is determined.
202. And determining the change rate of the floating average value relative to a preset average value.
203. And if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
204. And if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition.
205. And if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient.
206. And determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation.
207. And acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
208. And inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to obtain the target sensitivity.
209. If the target sensitivity does not meet a second preset condition, or if the change rate is greater than the maximum value of the preset interval and less than the preset threshold value, acquiring a current parameter of a transmitting tube in the sensor, wherein the second preset condition is different from the first preset condition, and the second preset condition is used for indicating that the target sensitivity of the sensor cannot be ensured within a normal range by adjusting the target sensitivity compensation coefficient.
210. Compensation for the sensitivity is achieved by adjusting the current parameter.
The detailed description of the steps 201 to 210 may refer to the corresponding steps from step 101 to step 103 of the sensitivity compensation method described in fig. 1C, and will not be described again here.
It can be seen that, by applying the sensitivity compensation method provided by the embodiment of the application to electronic equipment, the floating average value of the smoke concentration of the sensor in the preset time period under the current environment can be determined; determining the change rate of the floating average value relative to a preset average value; if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition; if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition; if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient; determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation; acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor; inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to obtain target sensitivity; if the target sensitivity does not meet a second preset condition, or if the change rate is greater than the maximum value of the preset interval and less than the preset threshold value, acquiring a current parameter of a transmitting tube in the sensor, wherein the second preset condition is different from the first preset condition, and the second preset condition is used for indicating that the target sensitivity of the sensor cannot be ensured within a normal range by adjusting the target sensitivity compensation coefficient; compensation for the sensitivity is achieved by adjusting the current parameter. Therefore, different sensitivity conditions can correspond to different sensitivity compensation schemes, different parameters in the preset sensitivity adjustment model can be dynamically adjusted based on the sensitivity conditions, so that the dynamic adjustment of the sensitivity is realized, the changes of different environments in the practical application are compensated, and the detection precision of the sensor is favorably improved.
In accordance with the above, please refer to fig. 3, which is a flowchart illustrating an embodiment of a sensitivity compensation method according to an embodiment of the present application. The sensitivity compensation method described in this embodiment is applied to an electronic device, and includes the following steps:
301. a floating average of the smoke concentration of the sensor over a preset period of time in the current environment is determined.
302. And determining the change rate of the floating average value relative to a preset average value.
303. And if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition.
304. And if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
305. And if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
306. If the change rate is larger than a preset threshold value, pushing preset information to a target user, wherein the preset information is used for reminding the target user that the sensor is abnormal.
Optionally, the detailed description of steps 301 to 306 may refer to corresponding steps 101 to 103 of the sensitivity compensation method described in fig. 1C, and will not be described herein again.
It can be seen that the sensitivity compensation method provided by the embodiment of the application is applied to electronic equipment, and determines the floating average value of the smoke concentration of the sensor in the preset time period under the current environment; determining the change rate of the floating average value relative to a preset average value; if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition; if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate; if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition; if the change rate is larger than a preset threshold value, pushing preset information to a target user, wherein the preset information is used for reminding the target user that the sensor is abnormal. Therefore, the floating average value of the smoke concentration of the sensor in the current environment within the preset time period can be determined, and the sensitivity of the sensor is compensated through the floating average value, so that the dynamic calibration of the sensitivity of the sensor is realized, and the detection precision of the sensor is improved; and under the condition that the sensor is abnormal, the user can be reminded, and the user experience is improved.
In accordance with the above, the following is a device for implementing the sensitivity compensation method, specifically as follows:
please refer to fig. 4, which is a schematic structural diagram of an embodiment of a sensitivity compensation apparatus according to an embodiment of the present disclosure. The sensitivity compensation device described in this embodiment is applied to an electronic apparatus, and includes: a determination unit 401 and a sensitivity compensation unit 402, wherein,
the determining unit 401 is configured to determine a floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
the determining unit 401 is further configured to determine a sensitivity condition of the sensor according to the floating average value;
the sensitivity compensation unit 402 is configured to, if the sensitivity condition meets a first preset condition, obtain a mapping relationship between a preset floating average value and a sensitivity compensation coefficient, and compensate the sensitivity of the sensor according to the mapping relationship, so that the sensitivity condition meets the first preset condition, where the first preset condition is used to indicate that the sensitivity is affected by the current environment and is inaccurate.
Wherein the above-mentioned determining unit 401 can be used to implement the method described in the above-mentioned step 101, the sensitivity compensating unit 402 can be used to implement the method described in the above-mentioned step 102, and so on.
It can be seen that by the sensitivity compensation device provided by the embodiment of the application, the floating average value of the smoke concentration of the sensor in the preset time period under the current environment can be determined; determining the sensitivity condition of the sensor according to the floating average value; and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate. Therefore, the floating average value of the smoke concentration of the sensor in the current environment in the preset time period can be determined, and the sensitivity of the sensor is compensated through the floating average value, so that the sensitivity of the sensor is dynamically calibrated, and the detection precision of the sensor is improved.
In one possible example, in the aspect of determining the sensitivity condition of the sensor according to the floating average value, the determining unit 401 is specifically configured to:
determining the change rate of the floating average value relative to a preset average value;
if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition;
and if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
In one possible example, in terms of compensating the sensitivity of the sensor according to the mapping relationship, the sensitivity compensation unit 402 is specifically configured to:
determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation;
and acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
It can be understood that the functions of each program module of the sensitivity compensation apparatus of this embodiment can be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process thereof can refer to the related description of the foregoing method embodiment, which is not described herein again.
In accordance with the above, please refer to fig. 5, which is a schematic structural diagram of an embodiment of an electronic device according to an embodiment of the present disclosure. The electronic device described in this embodiment, as shown in the figure, includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and in this embodiment, the programs include instructions for performing the following steps:
determining a floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
determining the sensitivity condition of the sensor according to the floating average value;
and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
It can be seen that with the electronic device provided by the embodiment of the present application, a floating average value of the smoke concentration of the sensor in a preset time period under the current environment can be determined; determining the sensitivity condition of the sensor according to the floating average value; and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate. Therefore, the floating average value of the smoke concentration of the sensor in the current environment in the preset time period can be determined, and the sensitivity of the sensor is compensated through the floating average value, so that the sensitivity of the sensor is dynamically calibrated, and the detection precision of the sensor is improved.
In one possible example, in said determining the sensitivity of the sensor based on the floating average, the above program includes instructions for performing the steps of:
determining the change rate of the floating average value relative to a preset average value;
if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition;
and if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
In one possible example, the program includes instructions for performing the steps of:
if the change rate is larger than a preset threshold value, pushing preset information to a target user, wherein the preset information is used for reminding the target user that the sensor is abnormal.
In one possible example, in said compensating the sensitivity of the sensor according to the mapping, the program comprises instructions for:
determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation;
and acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
In one possible example, the program includes instructions for performing the steps of:
inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to obtain target sensitivity;
if the target sensitivity does not meet a second preset condition, or if the change rate is greater than the maximum value of the preset interval and less than the preset threshold value, acquiring a current parameter of a transmitting tube in the sensor, wherein the second preset condition is different from the first preset condition, and the second preset condition is used for indicating that the target sensitivity of the sensor cannot be ensured within a normal range by adjusting the target sensitivity compensation coefficient;
compensation for the sensitivity is achieved by adjusting the current parameter.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium may store a program, and the program includes some or all of the steps of any one of the sensitivity compensation methods described in the above method embodiments when executed.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus (device), or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable sensitivity compensation device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable sensitivity compensation device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable sensitivity compensation device to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable sensitivity compensation device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer implemented process such that the instructions which execute on the computer or other programmable device provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A sensitivity compensation method, wherein,
determining a floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
determining the sensitivity condition of the sensor according to the floating average value;
and if the sensitivity condition meets a first preset condition, acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
2. The method of claim 1, wherein said determining a sensitivity profile of said sensor from said floating average comprises:
determining the change rate of the floating average value relative to a preset average value;
if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition;
and if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
3. The method of claim 2, further comprising:
if the change rate is larger than a preset threshold value, pushing preset information to a target user, wherein the preset information is used for reminding the target user that the sensor is abnormal.
4. The method of claim 1, wherein compensating the sensitivity of the sensor according to the mapping comprises:
determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation;
and acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
5. The method according to any one of claims 2-4, further comprising:
inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to obtain target sensitivity;
if the target sensitivity does not meet a second preset condition, or if the change rate is greater than the maximum value of the preset interval and less than the preset threshold value, acquiring a current parameter of a transmitting tube in the sensor, wherein the second preset condition is different from the first preset condition, and the second preset condition is used for indicating that the target sensitivity of the sensor cannot be ensured within a normal range by adjusting the target sensitivity compensation coefficient;
compensation for the sensitivity is achieved by adjusting the current parameter.
6. A sensitivity compensation apparatus, characterized in that the apparatus comprises: a determination unit and a sensitivity compensation unit, wherein,
the determining unit is used for determining the floating average value of the smoke concentration of the sensor in a preset time period under the current environment;
the determining unit is further used for determining the sensitivity condition of the sensor according to the floating average value;
the sensitivity compensation unit is used for acquiring a mapping relation between a preset floating average value and a sensitivity compensation coefficient if the sensitivity condition meets a first preset condition, and compensating the sensitivity of the sensor according to the mapping relation so that the sensitivity condition meets the first preset condition, wherein the first preset condition is used for indicating that the sensitivity is influenced by the current environment and is inaccurate.
7. The apparatus according to claim 6, wherein in said determining the sensitivity condition of the sensor from the floating average value, the determining unit 401 is specifically configured to:
determining the change rate of the floating average value relative to a preset average value;
if the change rate is smaller than the minimum value in a preset interval, determining that the sensitivity condition of the sensor meets the first preset condition;
and if the change rate is within the preset interval or is greater than the maximum value of the preset interval, determining that the sensitivity condition of the sensor does not meet the first preset condition.
8. The apparatus according to claim 6, wherein in the aspect of compensating the sensitivity of the sensor according to the mapping relationship, the sensitivity compensation unit 402 is specifically configured to:
determining a target sensitivity compensation coefficient corresponding to the floating average value according to the mapping relation;
and acquiring a preset sensitivity adjustment model, and inputting the target sensitivity compensation coefficient into the preset sensitivity adjustment model to realize the compensation of the sensitivity of the sensor.
9. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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| CN115236135A (en) * | 2021-04-23 | 2022-10-25 | 中国石油化工股份有限公司 | Base line calibration method for gas sensor, control device and gas sensor |
| CN115236135B (en) * | 2021-04-23 | 2023-08-22 | 中国石油化工股份有限公司 | Baseline calibration method for gas sensor, control device and gas sensor |
| CN115659134A (en) * | 2022-11-02 | 2023-01-31 | 上海米硅科技有限公司 | Signal processing method for improving chip sensitivity and related device |
| CN115659134B (en) * | 2022-11-02 | 2024-03-22 | 上海米硅科技有限公司 | Signal processing method for improving sensitivity of chip and related device |
| CN116774124A (en) * | 2023-02-09 | 2023-09-19 | 北京昆迈医疗科技有限公司 | OPM debugging and calibrating method and device |
| CN116774124B (en) * | 2023-02-09 | 2024-01-02 | 北京昆迈医疗科技有限公司 | OPM debugging and calibrating method and device |
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