CN114994262A - Data acquisition method, smell detection method, data storage system and device - Google Patents

Data acquisition method, smell detection method, data storage system and device Download PDF

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CN114994262A
CN114994262A CN202210829273.1A CN202210829273A CN114994262A CN 114994262 A CN114994262 A CN 114994262A CN 202210829273 A CN202210829273 A CN 202210829273A CN 114994262 A CN114994262 A CN 114994262A
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scanning
temperature
temperatures
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scanning temperature
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CN114994262B (en
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苏星
张若玙
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Qisi Semiconductor Hangzhou Co ltd
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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
    • G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • 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
    • G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
    • 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
    • G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
    • G01N33/0068—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a computer specifically programmed
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00—Control of temperature
    • G05D23/19—Control of temperature characterised by the use of electric means

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Abstract

The disclosure relates to a data acquisition method, a smell detection method, a data storage system and a device. Setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information; generating a plurality of second scanning temperatures through the first scanning temperature, wherein the first scanning temperature and the plurality of second scanning temperatures form a plurality of scanning temperatures, or generating a plurality of scanning temperatures through a scanning temperature interval; forming a temperature adjustment model based on a plurality of scanning temperatures, regulating and controlling the active material in the gas sensor to the corresponding scanning temperature based on the temperature adjustment model, and collecting response signals of the gas sensor at different scanning temperatures. Thus, by setting a plurality of scanning temperatures corresponding to the gas sensor based on the environmental information before data collection, the influence of environmental changes on the gas sensor can be reduced or even eliminated from the source, so that the collected data can be directly used for odor analysis or stored as standard odor data under ideal conditions.

Description

Data acquisition method, smell detection method, data storage system and device
Technical Field
The disclosure relates to the technical field of gas sensors, in particular to a data acquisition method, an odor detection method, a data storage system and a data storage device.
Background
Except for laboratory gas analyzers, the products currently implementing gas detection techniques are bulky and difficult to effectively distinguish between different gas species. To increase the amount of information to distinguish between different gases, sensor arrays are a common approach. The method is to measure the same gas sample by using different sensing materials simultaneously, and then to analyze the relationship between the response format and the measured gas. But the ability of the sensor to distinguish gases is limited due to the limited variety of sensing materials.
In order to acquire a sufficient amount of data on the basis of a limited sensing material, one temperature scanning method is to set different scanning temperatures for the same sensing material so as to acquire a large amount of information on the limited material. In the prior art, these scanning temperatures are preset and fixed, i.e. the same scanning temperature is used for data acquisition in different environments. The temperature scanning method using a fixed scanning temperature cannot ensure the accuracy of the acquired data, so that the acquired data needs to be calibrated, which inevitably increases unnecessary performance consumption.
Therefore, there is a need for a data acquisition scheme that can improve the accuracy of the acquired data from the source.
Disclosure of Invention
One technical problem to be solved by the present disclosure is to provide a data acquisition scheme for a gas sensor that can improve the accuracy of acquired data from a source.
According to a first aspect of the present disclosure, there is provided a data acquisition method comprising: setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information; generating a plurality of second scanning temperatures through the first scanning temperature, wherein the first scanning temperature and the plurality of second scanning temperatures form a plurality of scanning temperatures, or generating a plurality of scanning temperatures through a scanning temperature interval; forming a temperature adjustment model based on the plurality of scanning temperatures, regulating and controlling the active material in the gas sensor to the corresponding scanning temperature based on the temperature adjustment model, and collecting response signals of the gas sensor at different scanning temperatures.
Optionally, setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information includes: setting a first scanning temperature based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information, and a reference start scanning temperature, the difference between the reference start scanning temperature and the first scanning temperature being equal to or substantially equal to the drift amount, the reference start scanning temperature being a start scanning temperature of the gas sensor under the reference environmental information, a plurality of second scanning temperatures being generated by the first scanning temperature, including: and generating a plurality of second scanning temperatures by taking the first scanning temperature as an initial scanning temperature, wherein the plurality of scanning temperatures comprise the first scanning temperature and the plurality of second scanning temperatures.
Optionally, setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information includes: setting a first scanning temperature interval based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information and a reference scanning temperature interval of the gas sensor under the reference environmental information, wherein the temperature ranges of the first scanning temperature interval and the reference scanning temperature interval are equal or substantially equal, and the difference between an initial temperature value of the first scanning temperature interval and an initial temperature value of the reference scanning temperature interval is equal or substantially equal to the drift amount, and generating a plurality of scanning temperatures through the scanning temperature interval comprises: a plurality of scanning temperatures are generated through the first scanning temperature interval.
Optionally, setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information includes: the method includes the steps of setting a second scanning temperature interval corresponding to the gas sensor based on the influence condition of current environmental information on response signals of the gas sensor at different scanning temperatures, and generating a plurality of scanning temperatures through the scanning temperature interval, wherein the method includes the following steps: a plurality of scanning temperatures are generated through the second scanning temperature interval.
Optionally, setting a second scanning temperature interval corresponding to the gas sensor based on the influence of the current environmental information on the response signals of the gas sensor at different scanning temperatures includes: a second scanning temperature interval corresponding to the gas sensor is set based on the current environmental information, the target gas type, and the sensing material of the gas sensor.
Optionally, the temperature adjustment model is used to adjust the order between the plurality of scanning temperatures and set it as: at least one scanning temperature exists, so that the scanning temperature is larger than two adjacent scanning temperatures or smaller than two adjacent scanning temperatures; and/or at least partial scanning temperatures exist, and the partial scanning temperatures are arranged according to the sequence of temperature values from small to large or from large to small.
Optionally, the method further comprises the steps of: setting an electrical parameter in the gas sensor for generating a scanning temperature based on the environmental information; when the environmental information changes, the electrical parameters are regulated, so that the regulated electrical parameters act on the gas sensor to still generate the expected scanning temperature. The electrical parameter includes one or more of a voltage value, a current value, a resistance value, an impedance value, a capacitance value, and an inductance value.
Optionally, the step of acquiring response signals of the gas sensor at the respective scanning temperatures comprises: and sequentially regulating the active sensing material of the gas sensor to different scanning temperatures according to the sequence among the plurality of scanning temperatures, and collecting response signals of the gas sensor at different scanning temperatures.
Optionally, the environmental information comprises at least one of: humidity; (ii) temperature; air pressure; the air flow velocity; illumination; and/or gas sensors employ metal oxides as the active sensing material.
Optionally, the method further comprises: acquiring current environment information; determining an update frequency of the scanning temperature based on the current environment information; the plurality of scanning temperatures are reset according to the updating frequency.
Optionally, the method further comprises: based on the one or more sets of response signals, scent data is derived that is capable of characterizing a scent characteristic of the subject.
According to a second aspect of the present disclosure, there is provided a data acquisition method, comprising: providing a computing processor functionally coupled to the gas sensor; setting a calculation program in the calculation processor to make the calculation processor accept or generate one or more parameters; setting a plurality of scanning temperatures corresponding to the gas sensor based on the parameter; and collecting response signals of the gas sensor at each scanning temperature to obtain a group of response signals.
Optionally, the parameter is a computational process randomly generated, or the parameter is environmental information.
According to a third aspect of the present disclosure, there is provided an odor detection method comprising: acquiring odor data capable of representing odor characteristics of an object to be detected by using the method combined with the first aspect or the second aspect; and comparing the acquired smell data with the prestored smell data of a plurality of known objects to identify the object to be detected.
According to a fourth aspect of the present disclosure, there is provided a data storage system for storing smell data of a plurality of known objects, wherein the smell data of each known object is acquired using the method of the first or second aspect.
According to a fifth aspect of the present disclosure, there is provided a data storage system comprising: data receiving means for receiving odour data of one or more known subjects, the odour data being acquired using the method of the first or second aspect; and a data storage device for storing the scent data.
According to a sixth aspect of the present disclosure, there is provided a data acquisition apparatus comprising: a setting module for setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information; the generating module is used for generating a plurality of second scanning temperatures through the first scanning temperature, and the first scanning temperature and the second scanning temperatures form a plurality of scanning temperatures or generate a plurality of scanning temperatures through a scanning temperature interval; the acquisition module is used for forming a temperature adjustment model based on a plurality of scanning temperatures, regulating and controlling the active material in the gas sensor to the corresponding scanning temperature based on the temperature adjustment model, and acquiring response signals of the gas sensor at different scanning temperatures.
According to a seventh aspect of the present disclosure, there is provided a computing device comprising: a processor; a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any of the first to third aspects as described above.
According to an eighth aspect of the present disclosure, there is provided a computer program product comprising executable code which, when executed by a processor of an electronic device, causes the processor to perform the method of any of the first to third aspects as described above.
According to a ninth aspect of the present disclosure, there is provided a non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any of the first to third aspects described above.
From this, this disclosure can weaken even eliminate the influence of environmental change to gas sensor from the source through setting up a plurality of scanning temperatures that correspond to gas sensor based on environmental information for can directly be used for the smell analysis or save as standard smell data with the data of gathering under ideal circumstances, and need not to calibrate the data of gathering again, or only need carry out simple calibration when necessary can.
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The above and other objects, features and advantages of the present disclosure will become more apparent by describing in greater detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts throughout.
Fig. 1 shows a graphical representation of odor data for several different types of analytes exposed to different MOS-active materials.
FIG. 2 shows a schematic flow diagram of a data acquisition method according to one embodiment of the present disclosure.
Fig. 3 shows a schematic flow chart of a data acquisition method according to another embodiment of the present disclosure.
Fig. 4 shows a schematic diagram of a temperature scanning method based on conditioning.
Fig. 5 shows a schematic structural diagram of a data acquisition device according to an embodiment of the present disclosure.
FIG. 6 shows a block diagram of a computing device, according to one embodiment of the present disclosure.
Detailed Description
Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The gas sensor is a sensor that converts a physical or chemical quantity change generated by a physical or chemical reaction between detected gas molecules and a gas sensitive material (hereinafter, referred to as an active sensing material) into an electrical signal, an optical signal, an acoustic signal, and the like that can be effectively measured, thereby measuring the type and concentration of a gas.
The temperature scanning method is to set a gas sensor (i.e., an active sensing material in the gas sensor) at a series of temperature values within a certain temperature range and keep the temperature values for a certain period of time, respectively, so as to collect a set of response signals corresponding to different temperature values.
The gas sensor used in the temperature scanning method is sensitive to temperature (i.e. has different responses at different temperatures), and may be a Metal Oxide Semiconductor (MOS) sensor using a Metal Oxide as an active sensing material. The metal oxide can be selected from any one or more of the following combinations: SnO 2 、V 2 O 5 、WO 3 、ZnO、TeO 2 、TiO 2 、CuO、CeO 2 、Al 2 O 3 、ZrO 2 、V 2 O 3 、Fe 2 O 3 、Mo 2 O 3 、Nd 2 O 3 、La 2 O 3 、Nb 2 O 5 、Ta 2 O 5 、In 2 O 3 、GeO 2 And ITO. The active sensing material, which may also be referred to as an active material.
The active sensing material of the gas sensor may be a metal oxide heterostructure. The metal oxide heterostructure takes a metal oxide as a main material, a second phase substance is added to form a heterojunction on a physical interface between two different materials, and the gas-sensitive performance of the metal oxide is effectively improved by utilizing the synergistic effect of different components.
The metal oxide heterostructure may be classified into a metal-metal oxide heterostructure, a metal oxide composite structure, and a functional material composite structure according to the kind of the second phase material.
The second phase material in the metal-metal oxide heterostructure is generally located on the surface of the host material of the metal oxide in the form of metal nanoparticles, and comprises a noble metal doped (such as Au, Ag, Pt, Pd, etc.) metal oxide and a transition metal doped (such as Cu, Ni, Co, etc.) metal oxide. The sensitization mechanism of the gas-sensitive material of the noble metal doped metal oxide (depending on whether the work function of the main metal oxide is changed) is divided into chemical sensitization effect and electronic sensitization effect. The transition metal doping is to dope impurity ions into crystal lattices of the oxide semiconductor, change original crystal parameters and introduce impurity energy levels, and simultaneously generate a large amount of surface defects to improve the activity of the oxide surface, thereby being beneficial to the adsorption or reaction of target gas.
The metal oxide composite structure refers to a heterostructure formed at an interface by compounding different types of metal oxide semiconductor materials, carriers can migrate at the interface due to different Fermi levels of different semiconductor materials to form a space charge layer, and meanwhile, energy bands of a semiconductor are bent, and meanwhile, the surface of the metal oxide can be changed to a certain extent, such as surface defects, active sites and the like. The synergistic effect between different metal oxides can promote the reaction between target gas and the oxygen ions adsorbed on the surface of the metal oxide, and improve the gas-sensitive performance of the composite metal oxide.
The functional material composite structure is formed by compounding a metal oxide semiconductor material with functional materials such as graphene, carbon nano tubes, conductive polymers, porous silicon and the like, and is beneficial to improving the conductivity and gas adsorption capacity of the semiconductor material, so that the working temperature of the sensor can be effectively reduced while the sensitive characteristic of the semiconductor material is improved.
The active sensing material of the gas sensor may also be a photo-assisted gas sensitive material. The light-assisted gas sensitive material is used for adding excitation of an external light source to the gas sensitive material (metal oxide). When the energy of the light source is more than or equal to the forbidden bandwidth of the metal oxide, the conductivity of the material can be effectively improved through photo-generated electron-hole pairs generated by illumination. Research shows that the light excitation can not only improve the sensitivity of the sensing material, but also obviously improve the response-recovery speed. Further researching the mechanism of the photo-excitation gas-sensitive material proves that the improvement of the gas-sensitive performance of the material under illumination is due to the enhancement of the activity of oxygen anions on the surface of the material under illumination and the reduction of the activation energy of the gas-sensitive reaction after illumination. However, the light-assisted sensing means that an integrated light source element and additional energy input are required in the sensor, and the practical application of the sensor is limited.
The gas sensor may be a sensor cell, i.e. a sensor pixel, in a sensor array. Typically, a sensor is a device comprising a sensing unit (e.g. a sensor array) and a control circuit or electronic processing unit (processor). A sensor array refers to a sensing unit having different sensing elements or pixels in a single substrate or a single device. A sensor pixel refers to an element of a sensor or sensor array. Since the sensor pixel is an essential element of the sensor, the terms "sensor" and "sensor pixel" are interchangeable, the exact meaning of which depends on the context.
Odor data that characterizes the odor characteristics of an analyte (analyte) can be generated for an analyte of known identity and concentration using a temperature scanning method and stored in a standard database. The temperature scanning method can also be used for generating odor data capable of characterizing the odor characteristics of an analyte with respect to the analyte of which the identity or concentration is unknown, and comparing the odor data with the odor data in the standard database to identify the identity or concentration of the analyte.
Analyte refers to any molecule, compound, substance, reagent, material, etc., for which detection is sought. In one aspect, the analyte may be capable of being detected by a gas sensor. In another aspect, the analyte is capable of reacting with the active material of the gas sensor to produce a detectable change in the active material. In some cases, the "analyte" may be present in a gas phase environment. Non-limiting examples may include gases, inorganic molecules in air, organic molecules in air, volatile organic compounds, particulate matter in air, fumes, vaporized or vaporized solids or liquids, and the like, including combinations thereof.
The response signal is a measurable response of a sensing element or MOS pixel in the sensor, including a change in an electrical characteristic (resistance or impedance). It is an analog signal that can be converted and recorded to digital form. The unit of the response signal is typically the resistance (R) ratio. For example, Rg/Ra, where "R" is the resistance of the active material at a given temperature; "Rg" represents the resistance of the sensor when exposed to a target gas (e.g., VOC); "Ra" is the resistance of the sensor pixel when exposed to air (as baseline information). Ra/Rg can also be used depending on the MOS material type (N-type or P-type).
Odor data refers to data that reflects the odor characteristics of an analyte. One or more gas sensors of different active materials may be exposed to the same analyte and one or more sets of response signals obtained using a temperature scanning method may be used as the odour data. The data after further processing of the one or more sets of response signals may also be used as smell data. For example, the odor data may refer to data in the form of one or more curves having at least one peak shape as shown in fig. 1. Wherein the different sets of response signals are obtained by temperature scanning of the gas sensors for different active materials.
Fig. 1 shows a schematic of odor data for several different types of analytes exposed to different MOS-active materials.
FIG. 1 shows indium oxide (In) 2 O 3 ) Tin dioxide (SnO) 2 ) Zinc oxide (ZnO) andand tungsten oxide (WO) 3 ) These four MOS active materials. Wherein each of the four MOS active materials may be comprised in one gas sensor, such as may be comprised in a different sensor cell in one MOS sensor array.
Four sensors each containing one of these four MOS active materials may be exposed to seven analytes and then each MOS active material controlled at 200 f o C-400 o C to generate four sets of response signals. These four sets of response signals are then combined into the dataform shown in fig. 2.
It can be seen that each of the seven different analytes reacts differently with the four different MOS-active materials. For example, none of the seven different analytes reacted as strongly with ZnO, an active material, and the resulting odor data plots for the seven different analytes did not differ much from each other. In contrast, seven different analytes were compared to SnO 2 This active material reacts more aggressively and the odor data profiles for different analytes are quite different.
Thus, it can be concluded that SnO is responsible for the analytes shown in the figures, in contrast to ZnO 2 Is a better MOS active material. And, the set of response signals resulting from the temperature scan for each analyte forms an odor data curve having at least one peak shape and/or an overall curve over the entire temperature range. The peak shape or profile of each unique analyte is unique. Thus, a database or standard database may be established to identify the analyte. The criteria database may be stored in memory associated with the MOS sensors or in remote memory, such as in the cloud, and accessed by components associated with the MOS sensors. In practice, the MOS sensor pixels may be exposed to the analyte and then the MOS sensor pixels scanned over a range of temperatures to generate a response signal. The response signals are then combined into odor data, such as the data form depicted in the figures, that is capable of characterizing the odor characteristics of the analyte. The odor data is then compared to a standard database to determine the identity and concentration of the analyte.
In some embodiments, the peak shape or profile of each particular MOS active material may be considered in conjunction with the peak shape or profile generated by one or more other MOS active materials over the same or different temperature ranges. Such a combination may generate an overall signature or curve that may be compared to the same combination in the standard database. In some embodiments, such processing may provide greater analysis accuracy, sensitivity, or complexity.
In the conventional temperature scanning method, the temperature interval for temperature scanning and the specific scanning temperature are fixed values set in advance, and the change of environmental conditions and the active sensing material of the gas sensor are not considered at the beginning of the setting. That is, the temperature interval and the scanning temperature are set independently of both the ambient conditions and the active sensing material of the gas sensor.
If a series of scanning temperatures (or a temperature interval formed by a series of scanning temperatures) used for executing a temperature scanning method is the same and fixed for gas sensors with different active sensing materials in all environmental conditions without considering the change of the environmental conditions and the active sensing materials of the gas sensors, then due to the influence of the environmental conditions on the gas sensors, a difference will occur between response signals obtained by using the temperature scanning method and response signals acquired in a standard environment, and further, the acquired data needs to be calibrated to eliminate the influence of the environment on the readings of the gas sensors and ensure the usability of the data, which inevitably increases unnecessary performance consumption.
In addition, due to the influence of the environment on the gas sensor readings, if the temperature scans are performed using the same scanning temperature interval in different environments, the resulting set of response signals is not necessarily representative and is not suitable as smell data or smell fingerprints. For example, SnO for active materials under ambient conditions as shown in FIG. 1 2 The scanning temperature interval capable of forming the most representative (i.e. the most marked or distinguished) response signal of the gas sensor is 200 o C-400 o C, if the environmental conditions change, still at 200 o C-400 o C, the resulting response signal may no longer be representative, i.e. the resulting response signal is no longer suitable for use as smell data or smell fingerprint.
In order to improve the accuracy and usability of the acquired data from the source, the data acquisition scheme realized by the temperature scanning method based on the conditioning is provided.
FIG. 2 shows a schematic flow diagram of a data acquisition method according to one embodiment of the present disclosure. The method of fig. 2 may be implemented in software by a computer program, and the method of fig. 2 may also be performed by a specifically configured computing device.
Referring to fig. 2, in step S210, a plurality of scanning temperatures corresponding to the gas sensor are set based on the environmental information.
In step S220, response signals of the gas sensor at each scanning temperature are collected to obtain a set of response signals.
Setting a plurality of scanning temperatures corresponding to the gas sensor based on the environmental information means that a plurality of scanning temperatures can be set for the gas sensor according to the influence of the environmental information (i.e., current environmental information) at the time of collection on the reading (i.e., response signal) of the gas sensor, so that the reading of the gas sensor at the set scanning temperature can eliminate the environmental influence or compensate the environmental influence.
The sensing of the gas sensor can be influenced by humidity, pressure, temperature and air pressure; the effect of ambient conditions such as air flow rate, light, time, etc. the prior art has been to calibrate the sensor readings based on these ambient conditions. To eliminate the calibration step, the technical idea of the present disclosure is to use these environmental conditions (i.e., environmental information) before the gas sensor collects data. That is, a series of temperature points (i.e., scan temperatures) for performing a temperature scan is set according to these environmental conditions prior to acquiring data.
In other words, the present disclosure controls the operation of the gas sensor based on the ambient conditions, rather than correcting the results of the operation.
By setting a plurality of scanning temperatures corresponding to the gas sensor based on the environmental information, the influence of environmental changes on the gas sensor can be reduced or even eliminated from the source, so that the acquired data can be directly used for odor analysis or stored as standard odor data under ideal conditions without calibrating the acquired data (or simply calibrating the acquired data).
The present disclosure enables accurate characterization of the odor characteristics of an analyte using raw data collected by a gas sensor, and the enhancement of its performance enables the concept of an electronic nose to be realized. The small-size electronic nose can be integrated into a mobile phone, a portable intelligent electric appliance or a robot, and specific applications can include but are not limited to security, product quality management, medical diagnosis and life quality improvement.
The present disclosure may set the scan temperature based on environmental information to address drift issues.
The present disclosure may also set the scanning temperature based on environmental information to collect a representative set of response signals such that the set of response signals is suitable as scent data or scent fingerprints.
First embodiment, setting a plurality of scanning temperatures based on environmental information to solve the drift problem
In setting a plurality of scanning temperatures corresponding to the gas sensor based on the environmental information, one piece of reference environmental information may be set in advance, and then the scanning temperature may be set based on the influence of the difference between the current environmental information and the reference environmental information on the reading (i.e., the response signal) of the gas sensor such that the response signal obtained by temperature scanning based on the set scanning temperature is the reading from which the influence is eliminated or substantially eliminated. Taking the example that the reference environment information includes temperature and humidity, the reference environment information may be that the temperature (ambient temperature) is 25 o C. The humidity (ambient humidity) was 50%.
The inventor of the present disclosure found that, in the process of using the temperature scanning method, a change in environmental conditions (particularly humidity) may cause a shift in scanning temperature corresponding to a peak of a response signal in a set of response signals obtained by temperature scanning, that is, a shift in the position of the peak in the curve shown in fig. 1.
To this end, the present disclosure proposes that, when a plurality of scanning temperatures corresponding to the gas sensor are set based on the environmental information, the first scanning temperature may be set based on a drift amount of the scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information, and the reference start scanning temperature. The difference between the reference start scanning temperature and the first scanning temperature is equal to or substantially equal to the drift amount, the reference start scanning temperature being a start scanning temperature of the gas sensor under the reference environmental information. Then, the first scanning temperature is used as the initial scanning temperature, and a plurality of second scanning temperatures are set. The finally set plurality of scanning temperatures includes a first scanning temperature and a plurality of second scanning temperatures.
For example, the scan start point (i.e., the reference start scan temperature) is 200 based on 50% humidity o C, if the peak position shifts (shifts to the right) 5 for every 10% increase in humidity above the reference humidity o C, when the current collection environment is 60% humidity, the humidity is increased by 20% compared with the reference humidity, and 10 is generated o C peak position shift, wherein the shift is 10 in the peak position shift direction based on the reference start scanning temperature o C, the scanning start point can be set to 210 o C。
The range size of the scanning temperature interval formed by the first scanning temperature and the plurality of second scanning temperatures can be the same as or basically the same as the size of the preset temperature scanning range. The preset temperature scanning range may refer to a predefined temperature range, such as 200 o C-400 o C, this temperature range.
The number of second scanning temperatures may also be the same or substantially the same as a preset number. The preset number may be a predefined value. It should be noted that, theoretically, the larger the preset number is, the larger the data amount obtained by temperature scanning is, the better the scanning performance is, but the more time is consumed by scanning. Therefore, the number of the second scanning temperatures can be set according to actual conditions.
The disclosure provides that the first scanning temperature interval may be further set based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information and a reference scanning temperature interval of the gas sensor under the reference environmental information, a temperature range of the first scanning temperature interval is equal to or substantially equal to a temperature range of the reference scanning temperature interval, and a difference between an initial temperature value of the first scanning temperature interval and an initial temperature value of the reference scanning temperature interval is equal to or substantially equal to the drift amount. A plurality of scanning temperatures are generated based on the first scanning temperature interval. The plurality of scanning temperatures may be generated (e.g., randomly generated) as a function of a temperature range characterized by the first scanning temperature interval.
For example, based on 50% humidity, the reference scanning temperature interval corresponding to the reference is 200 o C-400 o C, the peak position shifts (shifts to the right) 5 for every 10% increase in humidity above the reference humidity o C, when the current collection environment is 60% humidity, the humidity is increased by 20% compared with the reference humidity, and 10 is generated o C peak position shift, in which case the scanning temperature interval can be shifted 10 in the direction of peak position shift o C, obtaining a new scanning temperature interval of 210 o C-410 o C。
Second embodiment, in order to obtain a representative group of response signals, a plurality of scanning temperatures are set based on the environmental information
The second scanning temperature interval corresponding to the gas sensor can be set based on the influence of the current environmental information on the response signals of the gas sensor at different scanning temperatures, so that the response signals of the gas sensor at different scanning temperatures in the second scanning temperature interval are a representative group of response signals.
The term "representative" as used herein refers to a group of response signals acquired by the gas sensor at different scanning temperatures in the second scanning temperature interval, which have a distinction or identification degree in terms of value, rather than a series of response signals with little difference in value and no or poor identification degree. Whether a set of response signals is representative may be determined based on a distribution of magnitudes of values of the set of response signals. For example, a representative set of response signals may refer to a set of response signals in which the difference between the maximum value of the response signals and the minimum value of the response signals is greater than a predetermined threshold.
The second scanning temperature interval, i.e. the scanning temperature interval that can be considered as being determined based on the current environmental information to form a representative set of response signals.
Based on the second scanning temperature interval, a plurality of scanning temperatures needed to be used in the temperature scanning process can be generated. For example, a plurality of scan temperatures may be generated (e.g., randomly generated) within the second scan temperature interval. The scanning temperatures can be gradually increased or gradually decreased or randomly selected. Therefore, the temperature can be gradually raised or raised to the highest temperature and gradually lowered in the temperature scanning process, and can also be randomly selected, or the initial scanning temperature can be determined based on the second scanning temperature interval, and then the subsequent scanning temperature can be determined around the initial scanning temperature sequence.
The scanning temperature (or scanning temperature interval) in the prior art is predetermined, i.e. the same temperature scanning strategy is performed under different environmental conditions. However, in practice, different environmental conditions are applied to the same scanning temperature (or scanning temperature interval), which may cause drift of the response signal of the odor fingerprint, and if the sensor is heated to a predetermined temperature and then the response signal value is calibrated, it will cause waste of energy/energy, and it is difficult to ensure that the most representative response signal (or response signal set) is obtained quickly within a predetermined scanning temperature (or scanning temperature interval).
On the premise that the scanning temperature interval can be calibrated in advance based on the environmental information and the response drift compensation after temperature scanning is replaced, the optimal scanning temperature starting point, the subsequent scanning temperature point or the scanning temperature interval under the current environmental condition can be obtained dynamically, so that the performance consumption is saved and the scanning efficiency is improved.
The difference from the setting of the scanning temperature (i.e., the first embodiment) for solving the drift problem is that the present embodiment sets the scanning temperature interval based on the environmental information, so as to efficiently obtain the scanning temperature interval most favorable for identifying the odor information under the current environmental condition, so as to conveniently obtain the most representative response signal characteristic map, improve the validity of the data, and enable quick comparison when subsequently used for comparing with the odor database, thereby saving energy consumption and improving efficiency.
For example, the scanning temperature range set by the prior art is 200 o C-500 o C, this scanning task is performed under any condition, but based on the current environmental information, it can be known (through processing of the environmental information and some algorithms) that the scanning temperature interval (i.e., the second scanning temperature interval) capable of forming the most representative response signal (or odor fingerprint) under this environmental condition is 300 o C-600 o C, so the command to the sensor would be at 300 o C-600 o C, temperature scanning is carried out in the temperature interval. When the environmental information changes, the scanning temperature interval can be re-determined, for example, the scanning temperature interval can be re-set to 200 o C-450 o C。
The influence of the environmental information on the gas sensor reading is related not only to the environmental information but also to the target gas type to be detected and the sensing material of the gas sensor, so that the second scanning temperature interval can be set based on the current environmental information, the target gas type and the sensing material of the gas sensor.
In other words, in addition to determining the scanning temperature based on environmental information, a target gas or a sensor material may be additionally incorporated. For example, one application scenario is that after the target gas species desired to be detected and/or the sensing material of the gas sensor used are predetermined, the current environmental information can be combined to find the optimal scanning temperature.
In order to save energy and reduce the loss of the gas sensor, the present disclosure may further acquire (real-time or periodically) current environment information, and determine an update frequency of the scanning temperature based on the current environment information, that is, an execution frequency of step S210. For example, the change rate of the environmental information at different times of the day is different, and the change rate of the current environmental information may be determined according to the time information in the current environmental information, and the update frequency of the scanning temperature may be determined accordingly. For another example, the change rate of the environmental information may also be predicted based on the current environmental information, for example, the change rate of the environmental information may be comprehensively predicted based on the temperature, humidity, air pressure, air flow rate, light, time, and other factors in the current environment, and the update frequency of the scanning temperature may be determined according to the prediction result. For example, a day may be divided into a plurality of time periods (for example, day and night), different scanning temperature update frequencies may be set for different time periods, a current time period may be determined according to the time information in the current environment information, and the scanning temperature may be updated according to the scanning temperature update frequency corresponding to the current time period. That is, after the update frequency is determined, a plurality of scanning temperatures may be reset according to the update frequency. The setting process of the plurality of scanning temperatures can be referred to the above related description.
In determining a plurality of scanning temperatures in step S210, a random or conditional approach may be used to generate a series of different scanning temperatures in order to avoid systematic errors that may occur each time data is collected under predetermined temperature conditions. For example, the generated plurality of scanning temperatures are arranged in an order that at least one scanning temperature exists, so that the scanning temperature is larger than two adjacent scanning temperatures or smaller than two adjacent scanning temperatures, and/or at least partial scanning temperatures exist in the plurality of scanning temperatures, and the partial scanning temperatures are arranged in an order that the temperature values are from small to large or from large to small.
In the step S220 of collecting the response signals of the gas sensor at the respective scanning temperatures, the active sensing material of the gas sensor may be sequentially heated to different second scanning temperatures in an order between the plurality of scanning temperatures, and the response signals of the gas sensor at the different second scanning temperatures may be collected.
In the above-mentioned case of setting the first scanning temperature and then setting the second scanning temperature, when the first scanning temperature is used as the initial scanning temperature to set a plurality of second scanning temperatures, in order to avoid systematic errors that may occur each time data is collected under the predetermined temperature condition, a random or conditional method may be used to generate a series of different second scanning temperatures. The generated second scanning temperatures have a predetermined sequence, which may be the generation sequence of the second scanning temperatures or an arrangement sequence obtained by sorting the second scanning temperatures by some arrangement (e.g., a random arrangement). The order between the plurality of second scanning temperatures is set such that there is at least one second scanning temperature, such that the second scanning temperature is greater than two scanning temperatures adjacent thereto, or less than two scanning temperatures adjacent thereto. In other words, the second scanning temperatures are not arranged in a monotonically increasing or decreasing temperature manner.
In the step S220 in fig. 2, when the response signals of the gas sensor at the respective scanning temperatures are collected, the active sensing material of the gas sensor may be heated to the first scanning temperature, and the response signals of the gas sensor at the first scanning temperature are collected, and then the active sensing material of the gas sensor may be sequentially heated to the different second scanning temperatures in sequence, and the active sensing material is kept for a predetermined period of time, and the response signals of the gas sensor at the different second scanning temperatures are collected.
Since the order between the second scanning temperatures is not the order of monotonically increasing or decreasing temperatures, when the temperature scanning is performed in this order, "directionality" errors due to continuous heating or continuous cooling of the sensor can be reduced compared to the manner of performing temperature scanning in a fixed direction of increasing or decreasing temperatures.
Further, the interval between adjacent scanning temperatures may also be unfixed.
Fig. 3 shows a schematic flow diagram of a data acquisition method according to another embodiment of the present disclosure. The method shown in fig. 3 may be regarded as a specific implementation of the method shown in fig. 2.
Specifically, step S310 and step S320 in fig. 3 correspond to step S210 in fig. 2, that is, step S210 may include step S310 and step S320, that is, the execution of step S210 may be realized by executing step S310 and step S320. Step S330 in fig. 3 corresponds to step S220 in fig. 2, i.e. the execution of step S220 may be achieved by executing step S330.
Referring to fig. 3, in step S310, a first scanning temperature or a scanning temperature interval corresponding to the gas sensor is set based on the environmental information. For the first scanning temperature, see the above description, and no further description is provided here. The scanning temperature interval may be the first scanning temperature interval mentioned above, or may be the second scanning temperature interval mentioned above.
The specific implementation process of setting the first scanning temperature or the scanning temperature interval (the first scanning temperature interval or the second scanning temperature interval) based on the environment information may refer to the above related description, and is not repeated here.
In step S320, a plurality of second scanning temperatures are generated from the first scanning temperature, and the first scanning temperature and the plurality of second scanning temperatures form a plurality of scanning temperatures, or a plurality of scanning temperatures are generated from the scanning temperature interval.
The specific implementation process of generating the plurality of second scanning temperatures by the first scanning temperature can be referred to the above related description.
The scanning temperature interval may be the first scanning temperature interval mentioned above, or may be the second scanning temperature interval mentioned above. The process of generating a plurality of scanning temperatures by the first scanning temperature interval or the second scanning temperature interval may also be referred to above in relation to the description. The generation of the plurality of scanning temperatures in the first scanning temperature interval is mainly for solving the drift problem, and the generation of the plurality of scanning temperatures in the second scanning temperature interval is mainly for obtaining representative response signals.
In step S330, a temperature adjustment model is formed based on the plurality of scanning temperatures, the active material in the gas sensor is regulated to the corresponding scanning temperature based on the temperature adjustment model, and response signals of the gas sensor at different scanning temperatures are collected.
The temperature adjustment model may be configured to adjust an order among the plurality of scanning temperatures, to sequentially adjust active materials (i.e., active sensing materials) in the gas sensor to corresponding scanning temperatures in the order indicated by the temperature adjustment model, and to collect response signals of the gas sensor at different scanning temperatures to obtain a set of response signals corresponding to the different scanning temperatures.
The temperature adjustment model may set the order between the plurality of scan temperatures to: at least one scanning temperature exists, so that the scanning temperature is larger than two adjacent scanning temperatures or smaller than two adjacent scanning temperatures; and/or at least partial scanning temperatures exist, and the partial scanning temperatures are arranged according to the sequence of temperature values from small to large or from large to small.
In general, the scanning temperature is generated by energizing the sensor with a power supply to heat the sensor, but under different environmental conditions, the same electrical parameter (e.g., power supply voltage) is applied to the sensor, and the obtained temperature value has a drift, and at this time, the electrical parameter (e.g., power supply voltage) needs to be adjusted so that the sensor can still be heated to the required scanning temperature under different environmental conditions. Thus, the present disclosure may also set the electrical parameters in the gas sensor used to generate the scanning temperature based on environmental information. When the environmental information changes, the electrical parameters are regulated and controlled, so that the regulated electrical parameters act on the gas sensor to still generate the expected scanning temperature. The electrical parameters may include, but are not limited to, a combination of one or more of voltage values, current values, resistance values, impedance values, capacitance values, inductance values.
Fig. 4 shows a schematic diagram of a temperature scanning method based on conditioning.
As shown in fig. 4, one of the start scan temperatures (i.e., the first scan temperature mentioned above) may be reset for the start temperature reference (i.e., the baseline start scan temperature mentioned above) based on environmental conditions to account for peak drift during the temperature scan. Based on the set starting scanning temperature, the scanning temperature (i.e. the plurality of second scanning temperatures mentioned above) for subsequent temperature scanning can be generated according to the temperature scanning range definition (i.e. the size of the defined temperature scanning range) and an increasing or decreasing reference amount.
The reference amount shown in fig. 4, which may be increasing or decreasing, may be a coefficient set comprising a plurality of coefficients, which may comprise a plurality of randomly generated coefficients including positive and negative numbers, such as 1.0, -0.9, 2.0, -1.5, … 1.5.5. The number of coefficient group coefficients may be greater than, equal to, or less than the number of scanning points other than the start scanning point (i.e., the number of second scanning temperatures). If the number of the coefficients in the coefficient group is larger than the number of the scanning points except the initial scanning point, part of the coefficients can be randomly selected from the coefficient group to participate in generating the scanning temperature, and if the number of the coefficients in the coefficient group is smaller than the number of the scanning points except the initial scanning point, the coefficients can be repeatedly selected from the coefficient group to participate in generating the scanning temperature.
When the subsequent scanning temperature is generated on the basis of the initial scanning temperature by using the coefficients in the coefficient set, an increment can be preset, and the increment can be a fixed value (for example, 10) o C) And may be a variable. In generating the first scanning temperature, a coefficient may be randomly selected from the coefficient group, and the temperature value of the first scanning temperature may be equal to the starting scanning temperature + the increment x the selected coefficient. When generating the second scanning temperature, a coefficient may again be randomly selected from the set of coefficients, and the temperature value for the second scanning temperature may be equal to the first scanning temperature + the increment x the selected coefficient. And so on, the temperature value of the latter scanning temperature may be equal to the former scanning temperature + the increment x the selected coefficient.
In summary, the data acquisition method of the present disclosure can be regarded as being implemented by a temperature scanning method based on conditioning.
The existing temperature scanning scheme is to preset the scanning temperature. Unlike the existing scheme, the present disclosure does not preset the scanning temperature, but can set the scanning temperature based on any condition at the time of data acquisition. For example, the scanning temperature may be set based on natural environmental conditions, or may be set based on artificial environmental conditions (e.g., an algorithm set by an operator).
The present disclosure also provides a data acquisition method, including: providing a computing processor functionally coupled to the gas sensor; setting a calculation program in the calculation processor to make the calculation processor accept or generate one or more parameters; setting a plurality of scanning temperatures corresponding to the gas sensor based on the parameter; and collecting response signals of the gas sensor at each scanning temperature to obtain a group of response signals. The parameter may be randomly generated by the calculation process, or may be environment information.
As an example, a start scanning temperature may be set based on the environment information, and a plurality of scanning temperatures (i.e., the above-mentioned second scanning temperatures) located after the start scanning temperature may be generated based on a randomly generated numerical value (such as the above-mentioned coefficient group).
Based on the data acquisition methods of the present disclosure, one or more gas sensors may be exposed to a conditioned temperature scan in the same subject (i.e., analyte) resulting in one or more sets of response signals. Based on the one or more sets of signals, odour data can be derived that is capable of characterizing the odour characteristics of the subject.
Odor data refers to data that reflects the odor characteristics of an analyte. One or more sets of response signals resulting from data acquisition using a conditioned temperature scanning method may be used as the odor data. The data after further processing of the one or more sets of response signals may also be used as smell data. For example, the odor data may refer to data in the form of one or more curves having at least one peak shape as shown in fig. 1. Wherein different sets of response signals are obtained by temperature scanning of the gas sensors for different active materials.
The data acquisition method can be used in a gas detection scene and is realized as a smell detection method. The odor detection method may first acquire odor data capable of characterizing the odor characteristics of an object to be detected (whose identity or concentration is unknown) using the method described above in conjunction with fig. 2, 3, or 4, and then compare the acquired odor data with the previously stored odor data of a plurality of known objects to identify the object to be detected.
The data acquisition method of the present disclosure may also be used in a construction scenario of standard smell data, and after smell data capable of characterizing the smell characteristics of a known object (with known identity and concentration) is acquired using the method shown in fig. 2, fig. 3, or fig. 4, the acquired smell data may be stored in a data storage system in association with the known object for comparison with the smell data of the object to be detected. Thus, the present disclosure may also be implemented as a data storage system for storing scent data of a plurality of known subjects, wherein the scent data of each known subject is acquired using the above-mentioned data acquisition method.
The data storage system may include a data receiving device and a data storage device. The data receiving device is used for receiving smell data of one or more known objects, and the smell data can be acquired by using the data acquisition method mentioned above. The data storage means is used for storing scent data, such as may be stored in association with known objects.
The data acquisition method of the present disclosure may also be implemented as a data acquisition device. Fig. 5 shows a schematic structural diagram of a data acquisition device according to an embodiment of the present disclosure. Wherein the functional elements of the data acquisition device may be implemented by hardware, software, or a combination of hardware and software implementing the principles of the present disclosure. It will be appreciated by those skilled in the art that the functional units described in fig. 5 may be combined or divided into sub-units to implement the principles of the invention described above. Thus, the description herein may support any possible combination, or division, or further definition of the functional units described herein.
In the following, functional units that the data acquisition device may have and operations that each functional unit may perform are briefly described, and details related thereto may be referred to the above description, and are not described herein again.
Referring to fig. 5, the data acquisition apparatus 500 includes a setting module 510, a generating module 520, and an acquisition module 530.
The setting module 510 is configured to set a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information. The generating module 520 is configured to generate a plurality of second scanning temperatures according to the first scanning temperature, where the first scanning temperature and the plurality of second scanning temperatures form a plurality of scanning temperatures, or generate a plurality of scanning temperatures according to a scanning temperature interval. The collecting module 530 is configured to form a temperature adjustment model based on a plurality of scanning temperatures, regulate an active material in the gas sensor to a corresponding scanning temperature based on the temperature adjustment model, and collect response signals of the gas sensor at different scanning temperatures.
The setting module 510 may set the first scanning temperature based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information and a reference start scanning temperature, a difference between the reference start scanning temperature and the first scanning temperature being equal to or substantially equal to the drift amount, the reference start scanning temperature being a start scanning temperature of the gas sensor under the reference environmental information. The generating module 520 may generate a plurality of second scanning temperatures with the first scanning temperature as a starting scanning temperature.
The setting module 510 may also set a first scanning temperature interval based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between the current environmental information and the reference environmental information and a reference scanning temperature interval of the gas sensor under the reference environmental information, where a temperature range of the first scanning temperature interval is equal to or substantially equal to a temperature range of the reference scanning temperature interval, and a difference between an initial temperature value of the first scanning temperature interval and an initial temperature value of the reference scanning temperature interval is equal to or substantially equal to the drift amount. The generating module 520 may generate a plurality of scanning temperatures through the first scanning temperature interval.
The setting module 510 may also set a second scanning temperature interval corresponding to the gas sensor based on the influence of the current environmental information on the response signals of the gas sensor at different scanning temperatures, so that the response signals of the gas sensor at different scanning temperatures in the second scanning temperature interval are a group of response signals with different degrees of distinction. The generating module 520 may generate a plurality of scanning temperatures through the second scanning temperature interval.
The temperature adjustment model may be used to adjust the order between the multiple scan temperatures and set it to: at least one scanning temperature exists, so that the scanning temperature is larger than two adjacent scanning temperatures or smaller than two adjacent scanning temperatures; and/or at least partial scanning temperatures exist, and the partial scanning temperatures are arranged according to the sequence of temperature values from small to large or from large to small.
The collecting module 530 may sequentially regulate the active sensing material of the gas sensor to different second scanning temperatures according to the sequence of the temperature adjustment model to the adjusted plurality of scanning temperatures, and collect response signals of the gas sensor at the different second scanning temperatures. For example, the collection module 530 may first heat the active sensing material of the gas sensor to a first scanning temperature and collect response signals of the gas sensor at the first scanning temperature, and then sequentially heat the active sensing material of the gas sensor to different second scanning temperatures and collect response signals of the gas sensor at the different second scanning temperatures.
The data acquisition device 500 may further include an electrical parameter setting module for setting an electrical parameter in the gas sensor for generating the scanning temperature based on the environmental information. When the environmental information changes, the electrical parameter setting module can regulate and control the electrical parameter, so that the regulated electrical parameter acts on the gas sensor and still can generate expected scanning temperature. The electrical parameter may include, but is not limited to, a combination of one or more of a voltage value, a current value, a resistance value, an impedance value, a capacitance value, and an inductance value.
The environmental information includes at least one of: humidity; (ii) temperature; air pressure; the air flow velocity; illumination; and/or gas sensors employ metal oxides as the active sensing material.
The data collection device 500 may further comprise a scent data generation module for deriving scent data characterizing the scent characteristics of the subject based on the one or more sets of response signals.
The data collection device 500 may further include an environmental information acquisition module and an update frequency determination module. The environment information acquisition module is used for acquiring current environment information. The update frequency determination module is used for determining the update frequency of the scanning temperature based on the current environment information. The sweep temperature setting module 410 may reset the plurality of sweep temperatures according to the update frequency.
Fig. 6 shows a schematic structural diagram of a computing device that can be used to implement the data collection method or the odor detection method according to an embodiment of the present disclosure.
Referring to fig. 6, computing device 600 includes memory 610 and processor 620.
The processor 620 may be a multi-core processor or may include a plurality of processors. In some embodiments, processor 620 may include a general-purpose host processor and one or more special coprocessors such as a Graphics Processor (GPU), a Digital Signal Processor (DSP), or the like. In some embodiments, processor 620 may be implemented using custom circuits, such as an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA).
The memory 610 may include various types of storage units, such as system memory, Read Only Memory (ROM), and permanent storage. Wherein the ROM may store static data or instructions that are required by the processor 620 or other modules of the computer. The persistent storage device may be a read-write storage device. The persistent storage may be a non-volatile storage device that does not lose stored instructions and data even after the computer is powered off. In some embodiments, the persistent storage device employs a mass storage device (e.g., magnetic or optical disk, flash memory) as the persistent storage device. In other embodiments, the permanent storage may be a removable storage device (e.g., floppy disk, optical drive). The system memory may be a read-write memory device or a volatile read-write memory device, such as a dynamic random access memory. The system memory may store instructions and data that some or all of the processors require at runtime. Further, the memory 610 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash, programmable read only memory), magnetic and/or optical disks may also be employed. In some embodiments, memory 610 may include a removable storage device that is readable and/or writable, such as a Compact Disc (CD), a digital versatile disc read only (e.g., DVD-ROM, dual layer DVD-ROM), a Blu-ray disc read only, an ultra-dense disc, a flash memory card (e.g., SD card, min SD card, Micro-SD card, etc.), a magnetic floppy disk, or the like. Computer-readable storage media do not contain carrier waves or transitory electronic signals transmitted by wireless or wired means.
The memory 610 has stored thereon executable code that, when processed by the processor 620, may cause the processor 620 to perform the data collection methods or gas detection methods described above.
The data acquisition method, the smell detection method, the data storage system, the apparatus and the device according to the present disclosure have been described in detail above with reference to the accompanying drawings.
Furthermore, the method according to the present disclosure may also be implemented as a computer program or computer program product comprising computer program code instructions for performing the above-mentioned steps defined in the above-mentioned method of the present disclosure.
Alternatively, the present disclosure may also be embodied as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) having stored thereon executable code (or a computer program, or computer instruction code) which, when executed by a processor of an electronic device (or computing device, server, etc.), causes the processor to perform the various steps of the above-described method according to the present disclosure.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems and methods according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (18)

1. A method of data acquisition, comprising:
setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information;
generating a plurality of second scanning temperatures through the first scanning temperature, wherein the first scanning temperature and the second scanning temperatures form a plurality of scanning temperatures, or generating a plurality of scanning temperatures through the scanning temperature interval;
forming a temperature adjustment model based on the plurality of scanning temperatures, regulating and controlling the active material in the gas sensor to the corresponding scanning temperature based on the temperature adjustment model, and collecting response signals of the gas sensor at different scanning temperatures.
2. The method of claim 1, wherein,
setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information, including: setting a first scanning temperature based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between current environmental information and reference environmental information, and a reference start scanning temperature, a difference between the reference start scanning temperature and the first scanning temperature being equal to or substantially equal to the drift amount, the reference start scanning temperature being a start scanning temperature of the gas sensor under the reference environmental information,
generating a plurality of second scanning temperatures from the first scanning temperature, including: and generating a plurality of second scanning temperatures by taking the first scanning temperature as an initial scanning temperature.
3. The method of claim 1, wherein,
setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information, including: setting a first scanning temperature interval based on a drift amount of a scanning temperature corresponding to a peak value of a response signal of the gas sensor caused by a difference between current environmental information and reference environmental information and a reference scanning temperature interval of the gas sensor under the reference environmental information, the first scanning temperature interval and the reference scanning temperature interval having a temperature range of equal or substantially equal size, and the difference between an initial temperature value of the first scanning temperature interval and an initial temperature value of the reference scanning temperature interval being equal or substantially equal to the drift amount,
generating a plurality of scanning temperatures from the scanning temperature interval, including: and generating a plurality of scanning temperatures through the first scanning temperature interval.
4. The method of claim 1, wherein,
setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information, including: setting a second scanning temperature interval corresponding to the gas sensor based on the influence of the current environmental information on response signals of the gas sensor at different scanning temperatures,
generating a plurality of scanning temperatures from the scanning temperature interval, including: and generating a plurality of scanning temperatures through the second scanning temperature interval.
5. The method of claim 4, wherein setting a second scanning temperature interval corresponding to the gas sensor based on an influence of current environmental information on response signals of the gas sensor at different scanning temperatures comprises:
setting a second scanning temperature interval corresponding to the gas sensor based on current environmental information, a target gas type, and a sensing material of the gas sensor.
6. The method of claim 1, wherein the temperature adjustment model is used to adjust and set the order between a plurality of scan temperatures as:
at least one scanning temperature exists, so that the scanning temperature is larger than two adjacent scanning temperatures or smaller than two adjacent scanning temperatures; and/or
At least partial scanning temperatures exist, and the partial scanning temperatures are arranged according to the sequence of temperature values from small to large or from large to small.
7. The method of claim 1, further comprising the steps of:
setting an electrical parameter in the gas sensor for generating a scanning temperature based on the environmental information;
when the environmental information changes, the electrical parameters are regulated and controlled, so that the regulated electrical parameters act on the gas sensor and still can generate the expected scanning temperature, and the electrical parameters comprise one or more combinations of voltage values, current values, resistance values, impedance values, capacitance values and inductance values.
8. The method of claim 1, wherein,
the environment information includes at least one of: humidity; (ii) temperature; air pressure; the air flow velocity; illumination; time, and/or
The gas sensor uses metal oxide as an active sensing material.
9. The method of claim 1, further comprising:
acquiring current environment information;
determining an update frequency of the scanning temperature based on the current environmental information;
resetting the plurality of scanning temperatures according to the updating frequency.
10. The method of any of claims 1 to 9, further comprising:
based on the one or more sets of response signals, scent data is derived that is capable of characterizing a scent characteristic of the subject.
11. A method of data acquisition, comprising:
providing a computing processor functionally coupled to the gas sensor;
setting a calculation program in a calculation processor to enable the calculation processor to accept or generate one or more parameters;
setting a plurality of scanning temperatures corresponding to the gas sensor based on the parameter;
and collecting response signals of the gas sensor at each scanning temperature to obtain a group of response signals.
12. The method of claim 11, wherein,
the parameters are generated randomly by a computational process, or
The parameter is environmental information.
13. An odor detection method comprising:
acquiring odor data capable of characterizing odor characteristics of an object to be detected using the method of any one of claims 1 to 12;
and comparing the collected smell data with the prestored smell data of a plurality of known objects to identify the object to be detected.
14. A data storage system for storing odour data of a plurality of known objects, wherein the odour data of each known object is acquired using the method of any one of claims 1 to 12.
15. A data storage system, comprising:
data receiving means for receiving odour data of one or more known objects, the odour data having been collected using the method of any one of claims 1 to 12; and
a data storage device for storing the scent data.
16. A data acquisition device comprising:
a setting module for setting a first scanning temperature or a scanning temperature interval corresponding to the gas sensor based on the environmental information;
a generating module, configured to generate a plurality of second scanning temperatures according to the first scanning temperature, where the first scanning temperature and the plurality of second scanning temperatures form a plurality of scanning temperatures, or generate a plurality of scanning temperatures according to the scanning temperature interval;
and the acquisition module is used for forming a temperature adjustment model based on the plurality of scanning temperatures, regulating and controlling the active material in the gas sensor to the corresponding scanning temperature based on the temperature adjustment model, and acquiring response signals of the gas sensor at different scanning temperatures.
17. A computing device, comprising:
a processor; and
a memory having executable code stored thereon, which when executed by the processor, causes the processor to perform the method of any of claims 1 to 13.
18. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the method of any of claims 1-13.
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