CN108956719B - Method and device for measuring water content by weight - Google Patents

Method and device for measuring water content by weight Download PDF

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CN108956719B
CN108956719B CN201810317265.2A CN201810317265A CN108956719B CN 108956719 B CN108956719 B CN 108956719B CN 201810317265 A CN201810317265 A CN 201810317265A CN 108956719 B CN108956719 B CN 108956719B
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water content
density
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CN108956719A (en
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张红艳
阎跃鹏
章奕
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BEIJING 7Q TECHNOLOGY CO LTD
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Abstract

The invention discloses a method and a device for measuring the water content by weight, and belongs to the technical field of data measurement and processing. The method comprises the following steps: determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor; when the weight water content of the measured object is received, the weight water content is used as a reference weight water content, the corresponding temperature and the output data of the sensor are read and are respectively used as a reference temperature and reference output data; determining a density coefficient according to the corresponding relation, the reference weight water content, the reference temperature and the reference output data, and updating the density coefficient regularly; when the weight water content of the measured object is measured, the temperature of the current measured object and the output data of the corresponding sensor are read and respectively used as the current temperature and the current output data, and the current weight water content of the measured object is determined according to the current temperature, the current output data and the current density coefficient. In the invention, the influence of temperature and density on the measurement precision is reduced or eliminated.

Description

Method and device for measuring water content by weight
Technical Field
The invention relates to the technical field of data measurement and processing, in particular to a method and a device for measuring the moisture content in weight.
Background
At present, the method for measuring the weight water content of grains, wood chips, candy powder, paper chips and the like is generally divided into a direct measurement method and an indirect measurement method; the direct measurement method is a reference method, which is to directly measure the water content of a measured object after the measured object is dried by heat, and has high detection accuracy, but is not suitable for field and online detection; the indirect measurement method is to obtain the moisture content by measuring a physical quantity related to moisture change, and is a moisture measurement method based on an electrostatic capacitance sensor, an equivalent circuit of which is shown in fig. 1, and the measurement principle is specifically as follows: when the weight water content of the measured object changes, the dielectric constant changes, so that the electrostatic capacitance in the measuring loop changes, the change of the capacitance is detected, the output of the sensor, namely normalized Frequency (SF for short), is obtained, and then the weight water content of the measured object is deduced according to the determined SF; the process of deriving the moisture content by weight of the object to be measured from the determined SF is based on an approximation of the relationship between moisture content by weight M and SF obtained from experiments in advance, for example, SF-AMB+ C, and the prestored A, B, C value to deduce the weight water content of the measured object; however, in this measuring method, when the density or temperature of the object to be measured changesMeasurement errors may be caused, resulting in inaccurate measurement results.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method and a device for measuring the moisture content by weight.
In a first aspect, the present invention provides a method for measuring moisture content by weight, comprising:
determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor;
when the weight water content of the measured object is received, taking the received weight water content as a reference weight water content, reading the temperature corresponding to the reference weight water content and the output data of the sensor, and respectively taking the temperature and the output data as a reference temperature and reference output data;
determining a density coefficient according to the corresponding relation, the reference weight water content, the reference temperature and the reference output data, and periodically updating the density coefficient according to the change of the density coefficient along with time;
when the weight water content of the measured object is measured, reading the current temperature of the measured object and the output data of the corresponding sensor, respectively using the current temperature and the current output data, and calculating the current weight water content of the measured object according to the current temperature, the current output data and the current density coefficient.
Optionally, the determining a corresponding relationship between the moisture content by weight of the measured object at different temperatures and densities and the output data of the sensor specifically includes:
respectively measuring the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensors, obtaining the output data of the sensors according to the capacitance change, establishing association between the measured weight water content and the output data of the corresponding sensors, generating and storing a first reference curve and a first reference value corresponding table of the high-density measured object and the low-density measured object at different temperatures.
Optionally, the determining a density coefficient according to the correspondence, the reference moisture content by weight, the reference temperature, and the reference output data specifically includes:
searching the initial temperature and the cut-off temperature of the first interval in which the reference temperature is located in the first reference value corresponding table, and respectively using the initial temperature and the cut-off temperature as a first reference temperature and a second reference temperature;
according to the first reference curves of the high-density measured object and the low-density measured object at the first reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, the output data of the corresponding sensor is correspondingly used as first output data and second output data;
according to the first reference curves of the high-density measured object and the low-density measured object at the second reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, the output data of the corresponding sensor is correspondingly used as third output data and fourth output data;
calculating and storing density coefficients corresponding to the reference temperature and the reference output data according to the first output data, the second output data, the third output data and the fourth output data;
correspondingly, the periodically updating the density coefficient according to the change of the density coefficient with time specifically includes: calculating the density coefficient according to the method at preset time intervals, and updating the currently stored density coefficient by using the calculated density coefficient; or generating and storing the aging curve according to the change of the density coefficient along with the time, and automatically updating the currently stored density coefficient according to the stored aging curve.
Optionally, the calculating the current weight water content of the measured object according to the current temperature, the current output data and the current density coefficient specifically includes:
step A1: reading a currently stored density coefficient as a current density coefficient, searching the initial temperature and the cut-off temperature of a first interval where the current temperature is located in the first reference value corresponding table, and respectively using the initial temperature and the cut-off temperature as a third reference temperature and a fourth reference temperature;
step A2: generating a reference curve and a reference value corresponding table when the density coefficient is the current density coefficient at the third reference temperature according to the first reference curve of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
step A3: generating a reference curve and a reference value corresponding table, of which the density coefficient is the current density coefficient, at the fourth reference temperature according to the first reference curves of the high-density measured object and the low-density measured object at the fourth reference temperature or the first reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
step A4: generating a reference curve and a reference value corresponding table of which the density coefficient is the current density coefficient at the current temperature according to the second reference curve and the third reference curve or according to the second reference value corresponding table and the third reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
step A5: and calculating the weight water content corresponding to the current output data according to the fourth reference value corresponding table, and taking the weight water content as the current weight water content of the measured object.
Optionally, the step a2 specifically includes: respectively calculating output data corresponding to different weight water contents at the third reference temperature when the density coefficient is the current density coefficient according to the first reference curves of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
optionally, the step a3 specifically includes: respectively calculating output data corresponding to different weight water contents at the fourth reference temperature and when the density coefficient is the current density coefficient according to the first reference curves of the high-density measured object and the low-density measured object at the fourth reference temperature or a first reference value corresponding table; generating a reference curve or a reference value corresponding table according to the different water contents by weight and the calculated corresponding output data, and correspondingly using the reference curve or the reference value corresponding table as a third reference curve and a third reference value corresponding table;
optionally, the step a4 specifically includes: determining output data corresponding to different weight water contents at the current temperature when the density coefficient is the current density coefficient according to the second reference curve and the third reference curve or according to the second reference value corresponding table and the third reference value corresponding table; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
the step a5 specifically includes: searching the initial output data and the cut-off output data of the second interval where the current output data is located in the fourth reference value corresponding table, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data; and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content thereof, and the eighth output data and the corresponding weight water content thereof, and taking the weight water content as the current weight water content of the measured object.
In a second aspect, the present invention provides a device for measuring moisture content by weight, comprising:
the first determining module is used for determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor;
the receiving module is used for receiving the weight water content of the measured object and taking the weight water content as the reference weight water content;
the reading module is used for reading the temperature corresponding to the reference weight water content and the output data of the sensor when the receiving module receives the reference weight water content of the measured object, and the read temperature and the output data are respectively used as the reference temperature and the reference output data;
the second determining module is used for determining a density coefficient according to the corresponding relation determined by the first determining module, the reference weight water content received by the receiving module, the reference temperature read by the reading module and the reference output data;
the updating module is used for periodically updating the density coefficient according to the change of the density coefficient along with the time;
the reading module is further used for reading the current temperature of the measured object and the output data of the corresponding sensor when the weight and the water content of the measured object are measured, and the current temperature and the current output data are respectively used as the current temperature and the current output data;
and the calculation module is used for calculating the current weight and water content of the measured object according to the current temperature, the current output data and the current density coefficient read by the reading module.
Optionally, the first determining module specifically includes: the device comprises a measuring submodule, a first calculating submodule, a first generating submodule and a first storing submodule;
the measuring submodule is used for respectively measuring the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensor;
the first calculation submodule is used for calculating output data of the sensor according to the capacitance change measured by the measurement submodule and the measurement loop;
the first generation submodule is used for establishing association between each weight water content measured by the measurement submodule and each corresponding output data calculated by the first calculation submodule to generate a first reference curve and a first reference value corresponding table of high-density measured objects and low-density measured objects at different temperatures;
the first storage submodule is used for storing a first reference curve and a first reference value corresponding table generated by the first generation submodule.
Optionally, the second determining module specifically includes: the device comprises a first searching submodule, a first determining submodule, a second calculating submodule and a second storing submodule;
the first searching submodule is used for searching the initial temperature and the cut-off temperature of the first interval where the reference temperature read by the reading module is located in a first reference value corresponding table stored in the first storage submodule, and the initial temperature and the cut-off temperature are respectively used as a first reference temperature and a second reference temperature;
the first determining submodule is used for respectively determining output data of corresponding sensors and correspondingly taking the output data as first output data and second output data when the weight water content of the measured object is the reference weight water content according to the first reference curves of the high-density measured object and the low-density measured object at the first reference temperature;
the second determining submodule is used for respectively determining output data of corresponding sensors as third output data and fourth output data when the weight water content of the measured object is the standard weight water content according to the first standard curves of the high-density measured object and the low-density measured object at the second reference temperature;
the second calculating submodule is configured to calculate a density coefficient corresponding to the reference temperature and the reference output data according to the first output data and the second output data determined by the first determining submodule and the third output data and the fourth output data determined by the second determining submodule;
the second storage submodule is used for storing the density coefficient calculated by the second calculation submodule;
the update module is specifically configured to: calculating the density coefficient at preset time intervals according to the method, and updating the density coefficient currently stored in the second storage submodule by using the calculated density coefficient; or generating and storing a chronological curve according to the change of the density coefficient along with the time, and automatically updating the currently stored density coefficient of the second storage submodule according to the stored chronological curve.
Optionally, the calculation module specifically includes: the second search submodule, the second generation submodule, the third generation submodule, the fourth generation submodule and the third calculation submodule;
the second searching submodule is used for reading the density coefficient currently stored in the second storage submodule to be used as the current density coefficient, searching the initial temperature and the cut-off temperature of the first interval where the current temperature read by the reading module is located in the first reference value corresponding table stored in the first storage submodule, and respectively using the initial temperature and the cut-off temperature as a third reference temperature and a fourth reference temperature;
the second generation submodule is configured to generate a reference curve and a reference value corresponding table at the third reference temperature when the density coefficient is the current density coefficient, and correspondingly serve as a second reference curve and a second reference value corresponding table, according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the third reference temperature stored in the first storage submodule;
the third generation submodule is configured to generate a reference curve and a reference value corresponding table, in which a density coefficient is the current density coefficient at a fourth reference temperature, according to a first reference curve of a high-density measured object and a first reference curve of a low-density measured object at the fourth reference temperature stored in the first storage submodule, or the first reference value corresponding table, and to correspondingly serve as a third reference curve and a third reference value corresponding table;
the fourth generation submodule is configured to generate a reference curve and a reference value corresponding table, in which a density coefficient is the current density coefficient at the current temperature, according to the second reference curve generated by the second generation submodule and the third reference curve generated by the third generation submodule, or according to the second reference value corresponding table generated by the second generation submodule and the third reference value corresponding table generated by the third generation submodule, and use the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table correspondingly;
and the third calculation submodule is used for calculating the weight water content corresponding to the current output data read by the reading module according to a fourth reference value corresponding table generated by the fourth generation submodule, and the weight water content is used as the current weight water content of the measured object.
Optionally, the second generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a third reference temperature and when the density coefficient is the current density coefficient according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the third reference temperature stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
optionally, the third generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a fourth reference temperature and when the density coefficient is the current density coefficient according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the fourth reference temperature stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
optionally, the fourth generation submodule is specifically configured to: determining each output data corresponding to each different weight water content at the current temperature and when the density coefficient is the current density coefficient according to a second reference curve generated by the second generation submodule and a third reference curve generated by the third generation submodule or according to a second reference value correspondence table generated by the second generation submodule and a third reference value correspondence table generated by the third generation submodule; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
the third computation submodule is specifically configured to: searching the initial output data and the cut-off output data of the second interval where the current output data is located in a fourth reference value corresponding table generated by the fourth generation submodule, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data; and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content thereof, and the eighth output data and the corresponding weight water content thereof, and taking the weight water content as the current weight water content of the measured object.
In a third aspect, the present invention provides a computer storage medium having stored thereon a computer program which, when executed by a processor, performs the method according to the first aspect of the present invention.
The invention has the advantages that:
on one hand, on the basis of the existing moisture measurement method based on the capacitive sensor, two parameters of temperature and density are introduced, the corresponding density coefficient is determined by measuring the temperature in real time and correcting the density coefficient on the spot, and the density coefficient is updated regularly according to the change of the density coefficient along with the time, so that the influence of the temperature and the density on the measurement precision is reduced or eliminated when the weight moisture content of the measured object is measured based on the current temperature and the current density coefficient in the subsequent process, and the measurement precision is improved; on the other hand, on the basis of the existing hardware measuring device, no hardware equipment is added, so that the conservative work is easy, the measuring accuracy is ensured, and the equipment cost is not increased; on the other hand, the method can continuously measure the weight water content of the measured object in the large-scale warehouse in real time and on line at high precision, and has wide application range.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic diagram of an equivalent circuit of a prior art capacitive sensor;
FIG. 2 is a flow chart of a method for measuring moisture content by weight according to the present invention;
FIG. 3 is a corresponding representation of a first reference value provided by the present invention;
FIG. 4 is a schematic diagram of a first reference curve of a high-density object to be measured and a low-density object to be measured at 20 ℃ and 25 ℃ according to the present invention;
FIG. 5 is a diagram illustrating a fourth reference value provided by the present invention;
FIG. 6 is a block diagram of a water content by weight measuring device provided by the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary 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 to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
According to the invention, two parameters of temperature and density are introduced on the basis of the existing method for measuring the water content by weight, so that the influence of the temperature and the density on the measurement precision is reduced or eliminated when the temperature or the density of a measured object changes; the method for measuring the water content in the present invention is described in detail below.
Example one
According to an embodiment of the present invention, there is provided a method of measuring moisture content by weight, as shown in fig. 2, including:
step 101: determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor;
specifically, the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensors are measured respectively, the output data of the sensors are obtained according to the capacitance change and the measurement loop, the measured weight water content and the output data of the corresponding sensors are correlated, and a first reference curve and a first reference value corresponding table of the high-density measured object and the low-density measured object at different temperatures are generated and stored; the data can be obtained through experiments in a laboratory, and preferably, the weight and the water content of a measured object are accurately measured by using an infrared moisture meter as a reference instrument, and the temperature of the measured object is measured by using a temperature measuring element arranged in a sensor;
in the invention, a first reference curve is a relation curve of the weight water content of a measured object with high and low density at different temperatures and the output data of a sensor; the high density is the density when the measured object naturally flows into the experimental container from a certain height, and then the vibration and the pressurization are carried out on the measured object to increase the filling rate; the low density is specifically a density at which the object to be measured naturally flows into the test container from a certain height at a certain speed.
Preferably, in this embodiment, the generated first reference curve and the first reference value mapping table are stored in a Read-Only Memory (ROM).
Furthermore, the tested object in the invention can be grain, wood chips, building materials, candy powder, paper chips and the like; correspondingly, generating a first reference curve and a first reference value corresponding table of the high-density measured object and the low-density measured object at different temperatures, specifically: generating a first reference curve and a first reference value corresponding table of high-density measured objects and low-density measured objects at different temperatures according to the types of the measured objects; the invention takes the measured object as grain as an example for explanation;
it should be noted that the temperature in the present invention refers to the temperature of the measured object, and the range of the measured temperature is set according to the temperature range of the measured object when the sensor is actually used, and the interval of the measured temperature can be set according to the measurement accuracy requirement; for example, in the present embodiment, the different measurement temperatures are set to 10 ℃, 15 ℃, 20 ℃, 25 ℃, 30 ℃, the different moisture contents by weight are set to 8%, 12%, 16%, 20%, 24%, and the different densities are High density (High) and Low density (Low), and the output data of the corresponding sensors are shown in fig. 3; it should be noted that FIG. 3 is intended to be illustrative and not limiting.
Furthermore, in the present invention, the output data of the sensor may be voltage, current, normalized Frequency (SF), Frequency, etc., which may be set according to the requirement; the present invention is described by taking the output data of the sensor as normalized frequency and the measured object as grain as an example, and correspondingly, the output data of the sensor is obtained according to the capacitance change and the measurement loop, and the method specifically includes:
step B1: determining the output frequency of the measuring loop according to the capacitance change;
specifically, according to the first expression
Figure BDA0001624192770000121
Wherein, F is the output frequency (also called resonant frequency), L is the inductance which is a fixed value, C is the capacitance, when the weight water content is changed, the value of the capacitance C is caused to change, and the output frequency of the capacitance measuring loop is determined according to the change of the capacitance.
Step B2: converting the output frequency into a digital signal;
specifically, the output frequency F is subjected to analog-to-digital conversion to obtain a digital signal F1。
Step B3: the normalized frequency of the sensor is calculated from the digital signal.
In particular, from the digital signal F1According to a second expression SF ═ (F)A-F1)/(FA-FW) Calculating the normalized frequency of the sensor, wherein SF is the normalized frequency of the sensor, FAOutput of the sensor when the object to be measured is air, FWOutput of the sensor when the object to be measured is water, F1And when the object to be measured is grain, the output of the sensor is obtained after analog-to-digital conversion.
Step 102: when the weight water content of the measured object is received, taking the received weight water content as a reference weight water content, reading the temperature corresponding to the reference weight water content and the output data of the sensor, and respectively taking the temperature and the output data as a reference temperature and reference output data;
preferably, the moisture content of the object to be measured by the infrared moisture meter is received and used as the reference moisture content, the temperature of the object to be measured corresponding to the reference moisture content measured by the temperature measurement circuit in the sensor is read as the reference temperature, and the output data of the sensor corresponding to the reference moisture content obtained by the digital-to-analog conversion circuit in the sensor is read as the reference output data.
For example, in the present embodiment, the basis weight water content ratio M 018% of the reference temperature T0At 22 deg.C, the reference output data
Figure BDA0001624192770000131
Is denoted by SF18％/22℃/KWhere K is a parameter related to the density of the object to be measured, called the density coefficient.
Step 103: determining a density coefficient according to the determined corresponding relation, the received reference weight water content, the read reference temperature and the reference output data, and regularly updating the density coefficient according to the change of the density coefficient along with the time;
according to the embodiment of the present invention, step 103 specifically includes:
step 103-1: searching the initial temperature and the cut-off temperature of a first interval in which the reference temperature is located in the first reference value corresponding table, and respectively using the initial temperature and the cut-off temperature as a first reference temperature and a second reference temperature;
the first interval is specifically the minimum interval where the reference temperature is located;
for example, in the present embodiment, the reference temperature T0Is 22 ℃, the first interval in which the first reference value is located is searched in the first reference value corresponding table and is between 20 and 25 ℃, and the initial temperature T is set120 ℃ as first reference temperature, cut-off temperature T 225 ℃ as the second reference temperature.
In need of pointing out, different measured objects correspond to different first reference value corresponding tables;
correspondingly, step 103-1 specifically includes: and searching the initial temperature and the cut-off temperature of the first interval where the reference temperature is located in the corresponding first reference value corresponding table according to the type of the object to be measured, and respectively using the initial temperature and the cut-off temperature as the first reference temperature and the second reference temperature.
Step 103-2: according to a first reference curve of a high-density measured object and a low-density measured object at a first reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, output data of a corresponding sensor are correspondingly used as first output data and second output data;
for example, as shown in fig. 4, when the weight water content of the object to be measured is determined to be 18% based on the first reference curve L1 of the object to be measured having a high density of 20 ℃
Figure BDA0001624192770000141
Is the value corresponding to point N, denoted as SF18％/20℃/HWherein H represents a high density and is taken as first output data; according to the reference curve L2 of the low-density object to be measured at 20 ℃, when the weight water content of the object to be measured is determined to be 18%, the corresponding sensor outputs data
Figure BDA0001624192770000142
Is the value corresponding to point Y, denoted as SF18％/20℃/LWhere L represents a low density, and is taken as second output data.
Step 103-3: according to the first reference curves of the high-density measured object and the low-density measured object at the second reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, the output data of the corresponding sensor is correspondingly used as third output data and fourth output data;
for example, as shown in fig. 4, when the weight water content of the object to be measured is determined to be 18% based on the first reference curve L3 of the object to be measured having a high density of 25 ℃, the output data of the corresponding sensor
Figure BDA0001624192770000143
Is the value corresponding to point P, denoted as SF18％/25℃/HAnd takes it as second output data; according to the reference curve L4 of the low-density object to be measured at 25 ℃, when the weight water content of the object to be measured is determined to be 18%, the corresponding sensor outputs data
Figure BDA0001624192770000145
Is a value corresponding to the point Q, expressed as SF18％/25℃/LAnd takes it as fourth output data.
Step 103-4: calculating and storing density coefficients corresponding to the reference temperature and the reference output data according to the determined first output data, second output data, third output data and fourth output data;
according to an embodiment of the present invention, step 103-4 specifically includes:
step 103-4-1: according to the determined first output data and the third output data, calculating output data of a corresponding sensor at the reference temperature and when the weight water content of the high-density measured object is the reference weight water content, and taking the output data as fifth output data;
in particular, according to the expression
Figure BDA0001624192770000146
Calculating fifth output data;
for example, fifth output data SF can be obtained from the above data18％/22℃/H＝SF18％/20℃/H+ (SF18％/25℃/H-SF18％/20℃/H)(22-20)/(25-20)。
Step 103-4-2: calculating output data of a corresponding sensor at the reference temperature and when the weight water content of the low-density measured object is the reference weight water content according to the determined second output data and the fourth output data, and taking the output data as sixth output data;
in particular, according to the expression
Figure BDA0001624192770000151
Calculating sixth output data;
for example, in the present embodiment, the sixth output data SF is obtained according to the above data18％/22℃/L＝ SF18％/20℃/L+(SF18％/25℃/L-SF18％/20℃/L)(22-20)/(25-20)。
It should be noted that the execution order of step 103-4-1 and step 103-4-2 can be interchanged.
Step 103-4-3: calculating and storing a density coefficient corresponding to the reference output data according to the fifth output data and the sixth output data;
in particular, according to the expression
Figure BDA0001624192770000152
Calculating a current density coefficient;
for example, in the present embodiment, the current density coefficient K ═ SF can be obtained from the above data18％/22℃/K-SF18％/22℃/L)/(SF18％/22℃/H-SF18％/22℃/L)。
Preferably, the density coefficients are stored in a Electrically Erasable Programmable Read-Only Memory (EEPROM).
Step 103-5: and updating the stored density coefficient periodically according to the change of the density coefficient along with the time.
Optionally, step 103-5 is specifically:
calculating the density coefficient according to the method at preset time intervals according to the change of the density coefficient along with time, and updating the currently stored density coefficient in the EEPROM by using the calculated density coefficient; or, according to the change of the density coefficient along with time, generating and storing the aging curve, and automatically updating the currently stored density coefficient of the EEPROM according to the stored aging curve.
Wherein, the menstruation curve is a relation curve of the density coefficient and the time change; the preset time interval can be set according to the requirement, for example, three months or half a year.
In the invention, the density coefficient is determined and periodically updated, so that the weight water content of the measured object is calculated according to the currently stored density coefficient when the weight water content of the measured object is measured subsequently, thereby reducing or eliminating the influence of temperature and density on the measurement precision, and the specific process is detailed in step 104.
Step 104: when the weight water content of the measured object is measured, the temperature of the current measured object and the output data of the corresponding sensor are read and respectively used as the current temperature and the current output data, and the current weight water content of the measured object is determined according to the current temperature, the current output data and the current density coefficient.
Wherein, read the temperature of the present testee and the output data of the sensor that corresponds to as current temperature and current output data respectively, specifically do: reading the temperature of a measured object measured by a temperature measuring circuit of the current sensor and taking the temperature as the current temperature, and reading the output data of the sensor obtained by a digital-to-analog conversion circuit of the current sensor and taking the output data as the current output data; for example, the current temperature T is 18 ℃, and the current output data
Figure BDA0001624192770000161
Is shown as
Figure BDA0001624192770000162
Wherein, K0Is the current density coefficient.
According to the embodiment of the invention, the method for determining the current weight water content of the measured object according to the current temperature, the current output data and the current density coefficient specifically comprises the following steps:
step A1: reading a currently stored density coefficient as a current density coefficient, searching the initial temperature and the cut-off temperature of a first interval where the current temperature is located in the first reference value corresponding table, and respectively using the initial temperature and the cut-off temperature as a third reference temperature and a fourth reference temperature;
for example, in the present embodiment, the current temperature T is 18 ℃, the first zone in which the current temperature T is located is found in the first reference value correspondence table to be 15 to 20 ℃, and the starting temperature T is set315 ℃ as third reference temperature, cut-off temperature T 420 ℃ as the fourth reference temperature.
Note that the third reference temperature may be the same as or different from the first reference temperature; the fourth reference temperature may be the same as or different from the second reference temperature.
Step A2: generating a reference curve and a reference value corresponding table when the density coefficient is the current density coefficient at the third reference temperature according to the first reference curve of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
specifically, according to a first reference curve or a first reference value correspondence table of the high-density measured object and the low-density measured object at the third reference temperature, respectively calculating output data corresponding to different weight water contents at the third reference temperature when the density coefficient is the current density coefficient; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
wherein, the different moisture content by weight can be set according to the measurement precision requirement, for example, in this embodiment, the different moisture content by weight is 8%, 12%, 16%, 20%, 24%, which can be obtained according to the above data, at the third reference temperature T3The lower density coefficient is the current density coefficient K0When the corresponding output data is
Figure BDA0001624192770000171
Figure BDA0001624192770000172
Wherein:
Figure BDA0001624192770000173
Figure BDA0001624192770000174
Figure BDA0001624192770000175
Figure BDA0001624192770000176
Figure BDA0001624192770000177
and generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table.
Step A3: generating a reference curve and a reference value corresponding table of which the density coefficient is the current density coefficient at a fourth reference temperature according to the first reference curve or the first reference value corresponding table of the high-density measured object and the low-density measured object at the fourth reference temperature, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
specifically, according to a first reference curve or a first reference value correspondence table of the high-density measured object and the low-density measured object at the fourth reference temperature, respectively calculating output data corresponding to different weight water contents at the fourth reference temperature when the density coefficient is the current density coefficient; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
the water content by weight is the same as that in step a2, for example, in this embodiment, the water content by weight is 8%, 12%, 16%, 20%, 24%, and the second reference temperature T is determined based on the above data4The lower density coefficient is the current density coefficient K0When the corresponding output data is
Figure BDA0001624192770000181
Figure BDA0001624192770000182
Wherein:
Figure BDA0001624192770000183
Figure BDA0001624192770000184
Figure BDA0001624192770000185
Figure BDA0001624192770000186
Figure BDA0001624192770000187
and generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table.
It should be noted that the execution order of step a2 and step A3 may be interchanged.
Step A4: generating a reference curve and a reference value corresponding table with the density coefficient being the current density coefficient at the current temperature according to the generated second reference curve and the generated third reference curve or according to the generated second reference value corresponding table and the generated third reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
specifically, determining each output data corresponding to each different weight water content at the current temperature when the density coefficient is the current density coefficient according to the second reference curve and the third reference curve or according to the second reference value correspondence table and the third reference value correspondence table; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
wherein the different water content by weight is the same as the different water content by weight in step A2 and step A3, for example, in the present embodiment, the different water content by weight is 8%, 12%, 16%, 20%, 24%, which can be obtained from the above data, and the density coefficient is the current density coefficient K at the current temperature T0When the corresponding output data is
Figure BDA0001624192770000191
Wherein:
Figure BDA0001624192770000192
Figure BDA0001624192770000193
Figure BDA0001624192770000194
Figure BDA0001624192770000195
Figure BDA0001624192770000196
and generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table.
Step A5: and calculating the weight water content corresponding to the current output data according to the fourth reference value corresponding table, and taking the weight water content as the current weight water content of the measured object.
According to an embodiment of the present invention, step a5 specifically includes:
step A5-1: searching the initial output data and the cut-off output data of the second interval where the current output data is located in the fourth reference value corresponding table, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data;
specifically, the current output data is looked up in the fourth reference value correspondence table
Figure BDA0001624192770000201
Second place ofThe interval is
Figure BDA0001624192770000202
And will be
Figure BDA0001624192770000203
As seventh output data, will
Figure BDA0001624192770000204
As eighth output data;
for example, in the present embodiment, the fourth reference value correspondence table is as shown in fig. 5, and the current output data is looked up in the fourth reference value correspondence table
Figure BDA0001624192770000205
In the second interval of
Figure BDA0001624192770000206
Figure BDA0001624192770000207
Will be provided with
Figure BDA0001624192770000208
As seventh output data, will
Figure BDA0001624192770000209
As eighth output data.
Step A5-2: and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content, and the eighth output data and the corresponding weight water content.
In particular, according to the expression
Figure BDA00016241927700002010
Calculating the weight water content M corresponding to the current output data;
for example, in the present embodiment, it is possible to obtain the data based on the above
Figure 2
Figure BDA0001624192770000211
According to the embodiment of the present invention, step a5 may further specifically be: an approximate relational expression M ═ f (sf) of the water content by weight and the output data is obtained from the fourth reference value correspondence table, and the water content by weight corresponding to the current output data is calculated from the obtained approximate relational expression, which may be a polynomial expression or another approximate relational expression.
According to the invention, the weight water content of the measured object is calculated through the current density coefficient, so that the accuracy and precision of the weight water content are improved.
According to an embodiment of the present invention, step 104 further includes: outputting the current weight water content of the measured object;
specifically, the current weight moisture content of the measured object is output by current, voltage, wireless communication or the like, and is displayed by the display device.
It should be noted that, in the present invention, the function of the reference value correspondence table and the reference value curve is the same, and since the storage space needs to be occupied during the storage, only one of the reference value correspondence table and the reference value curve can be generated and stored according to the requirement.
Example two
According to an embodiment of the present invention, there is provided a moisture content by weight measuring apparatus, as shown in fig. 6, including:
the first determining module 201 is configured to determine a corresponding relationship between the weight water content of the measured object at different temperatures and densities and output data of the sensor;
the receiving module 202 is used for receiving the weight water content of the measured object and taking the weight water content as the reference weight water content;
the reading module 203 is used for reading the temperature corresponding to the reference weight water content and the output data of the sensor when the receiving module 202 receives the reference weight water content of the measured object, and respectively taking the temperature and the output data as the reference temperature and the reference output data;
a second determining module 204, configured to determine a density coefficient according to the correspondence determined by the first determining module 201, the reference weight and moisture content received by the receiving module 202, the reference temperature read by the reading module 203, and the reference output data;
an updating module 205, configured to periodically update the density coefficient according to a change of the density coefficient with time;
the reading module 203 is further configured to read the current temperature of the measured object and the output data of the corresponding sensor when the weight and the water content of the measured object are measured, and respectively serve as the current temperature and the current output data;
and the calculating module 206 is configured to calculate the current weight and water content of the measured object according to the current temperature, the current output data, and the current density coefficient read by the reading module 203.
According to an embodiment of the present invention, the first determining module 201 specifically includes: the device comprises a measuring submodule, a first calculating submodule, a first generating submodule and a first storing submodule, wherein:
the measuring submodule is used for respectively measuring the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensor;
the first calculation submodule is used for calculating output data of the sensor according to the capacitance change measured by the measurement submodule;
the first generation submodule is used for establishing association between each weight water content measured by the measurement submodule and each corresponding output data calculated by the first calculation submodule to generate a first reference curve and a first reference value corresponding table of high-density measured objects and low-density measured objects at different temperatures;
the first storage submodule is used for storing a first reference curve and a first reference value corresponding table generated by the first generation submodule.
It should be noted that the temperature in the present invention refers to the temperature of the measured object, and the range of the measured temperature is set according to the temperature range of the measured object when the sensor is actually used, and the interval of the measured temperature can be set according to the measurement accuracy requirement; for example, in the present embodiment, the different measurement temperatures are set to 10 ℃, 15 ℃, 20 ℃, 25 ℃, 30 ℃, the different moisture contents by weight are set to 8%, 12%, 16%, 20%, 24%, and the different densities are High density (High) and Low density (Low).
According to an embodiment of the present invention, the second determining module 204 specifically includes: the device comprises a first searching submodule, a first determining submodule, a second calculating submodule and a second storing submodule, wherein:
the first searching submodule is used for searching the initial temperature and the cut-off temperature of the first interval where the reference temperature read by the reading module 203 is located in a first reference value corresponding table stored in the first storage submodule, and the initial temperature and the cut-off temperature are respectively used as a first reference temperature and a second reference temperature;
the first determining submodule is used for respectively determining output data of corresponding sensors as first output data and second output data when the weight water content of the measured object is the reference weight water content according to the first reference curves of the high-density measured object and the low-density measured object at the first reference temperature;
the second determining submodule is used for respectively determining output data of corresponding sensors as third output data and fourth output data when the weight water content of the measured object is the reference weight water content according to the first reference curves of the high-density measured object and the low-density measured object at the second reference temperature;
the second calculating submodule is used for calculating the reference temperature read by the reading module 203 and the density coefficient corresponding to the reference output data according to the first output data and the second output data determined by the first determining submodule and the third output data and the fourth output data determined by the second determining submodule;
the second storage submodule is used for storing the density coefficient calculated by the second calculation submodule;
correspondingly, the update module 205 is specifically configured to: calculating the density coefficient at preset time intervals according to the mode, and updating the density coefficient currently stored in the second storage submodule by using the calculated density coefficient; or generating and storing a chronological curve according to the change of the density coefficient along with the time, and automatically updating the density coefficient currently stored by the second storage submodule according to the stored chronological curve. The update module 205 calculates the density coefficient in the same way as the second determination module 204 calculates the density coefficient.
The first interval is specifically the minimum interval where the reference temperature is located;
for example, in the present embodiment, the receiving module 202 receives the measured temperature T of the grain0At 22 ℃, the searching submodule searches a first interval in which the measured temperature T is located in the first reference value corresponding table to be 20-25 ℃, and the initial temperature T is used120 ℃ as first reference temperature, cut-off temperature T 225 ℃ as the second reference temperature.
According to an embodiment of the present invention, the second computation submodule specifically includes: a first calculation unit, a second calculation unit, and a third calculation unit, wherein:
the first calculating unit is used for calculating output data of a corresponding sensor at the reference temperature and taking the output data as fifth output data when the weight water content of the high-density measured object is the reference weight water content according to the first output data determined by the first determining submodule and the third output data determined by the second determining submodule;
the second calculation unit is used for calculating output data of a corresponding sensor at the reference temperature and taking the output data as sixth output data when the weight water content of the low-density measured object is the reference weight water content according to the second output data determined by the first determination submodule and the fourth output data of the second determination submodule;
and the third calculating unit is used for calculating the density coefficient corresponding to the reference output data according to the fifth output data calculated by the first calculating unit and the sixth output data calculated by the second calculating unit.
According to an embodiment of the present invention, the calculation module 206 specifically includes: a second search submodule, a second generation submodule, a third generation submodule, a fourth generation submodule, and a third calculation submodule, wherein:
a second searching sub-module, configured to read a density coefficient currently stored in the second storage sub-module as a current density coefficient, search the first reference value correspondence table stored in the first storage sub-module for a start temperature and a stop temperature of a first interval in which the current temperature read by the reading module 203 is located, and respectively use the start temperature and the stop temperature as a third reference temperature and a fourth reference temperature
The second generation submodule is used for generating a reference curve and a reference value corresponding table when the density coefficient is the current density coefficient at the third reference temperature according to the first reference curve of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table stored in the first storage submodule, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
the third generation submodule is used for generating a reference curve and a reference value corresponding table of which the density coefficient is the current density coefficient at the fourth reference temperature according to the first reference curve or the first reference value corresponding table of the high-density measured object and the low-density measured object at the fourth reference temperature stored by the first storage submodule, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
the fourth generation submodule is used for generating a reference curve and a reference value corresponding table of which the density coefficient is the current density coefficient at the current temperature according to the second reference curve generated by the second generation submodule and the third reference curve generated by the third generation submodule or according to the second reference value corresponding table generated by the second generation submodule and the third reference value corresponding table generated by the third generation submodule, and the reference curve and the reference value corresponding table are correspondingly used as a fourth reference curve and a fourth reference value corresponding table;
and the third calculation submodule is configured to calculate the weight water content corresponding to the current output data read by the reading module 203 according to the fourth reference value correspondence table generated by the fourth generation submodule, and use the weight water content as the current weight water content of the measured object.
According to an embodiment of the present invention, the second generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a third reference temperature when the density coefficient is the current density coefficient according to a first reference curve of the high-density measured object and the low-density measured object at the third reference temperature or a first reference value corresponding table stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
according to an embodiment of the invention, the third generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a fourth reference temperature and when the density coefficient is the current density coefficient according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the fourth reference temperature stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
according to an embodiment of the present invention, the fourth generation submodule is specifically configured to: determining each output data corresponding to each different weight water content at the current temperature when the density coefficient is the current density coefficient according to a second reference curve generated by the second generation submodule and a third reference curve generated by the third generation submodule or according to a second reference value corresponding table generated by the second generation submodule and a third reference value corresponding table generated by the third generation submodule; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
the third computation submodule is specifically configured to: searching initial output data and cut-off output data of a second interval where the current output data are located in a fourth reference value corresponding table generated by a fourth generation submodule, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data; and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content, and the eighth output data and the corresponding weight water content, and taking the weight water content as the current weight water content of the measured object.
According to an embodiment of the invention, the apparatus further comprises: an output module;
and the output module is used for displaying through the display device after the calculation module 206 determines the current weight and water content of the measured object.
EXAMPLE III
According to an embodiment of the present invention, there is also provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for measuring moisture content by weight as described above.
On one hand, on the basis of the existing moisture measurement method based on the capacitive sensor, two parameters of temperature and density are introduced, the corresponding density coefficient is determined by measuring the temperature in real time and correcting the density coefficient on the spot, and the density coefficient is updated regularly according to the change of the density coefficient along with the time, so that the influence of the temperature and the density on the measurement precision is reduced or eliminated when the weight moisture content of the measured object is measured based on the current temperature and the current density coefficient in the subsequent process, and the measurement precision is improved; on the other hand, on the basis of the existing hardware measuring device, no hardware equipment is added, so that the conservative work is easy, the measuring accuracy is ensured, and the equipment cost is not increased; on the other hand, the method can continuously measure the weight water content of the measured object in the large-scale warehouse in real time and on line at high precision, and has wide application range.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (4)

1. A method for measuring moisture content by weight is characterized by comprising the following steps:
determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor; wherein, confirm the corresponding relation between the output data of the weight moisture content of the testee of different temperature and density and sensor, specifically include:
respectively measuring the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensors, obtaining the output data of the sensors according to the capacitance change and the measuring loop, and establishing association between the measured weight water content and the corresponding output data of the sensors to generate and store a first reference curve and a first reference value corresponding table of the high-density measured object and the low-density measured object at different temperatures;
when the weight water content of the measured object is received, taking the received weight water content as a reference weight water content, reading the temperature corresponding to the reference weight water content and the output data of the sensor, and respectively taking the temperature and the output data as a reference temperature and reference output data;
determining a density coefficient according to the corresponding relation, the reference weight water content, the reference temperature and the reference output data, and periodically updating the density coefficient according to the change of the density coefficient along with time; wherein, the determining a density coefficient according to the corresponding relationship, the reference moisture content, the reference temperature and the reference output data specifically comprises:
searching the initial temperature and the cut-off temperature of the first interval in which the reference temperature is located in the first reference value corresponding table, and respectively using the initial temperature and the cut-off temperature as a first reference temperature and a second reference temperature;
according to the first reference curves of the high-density measured object and the low-density measured object at the first reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, the output data of the corresponding sensor is correspondingly used as first output data and second output data;
according to the first reference curves of the high-density measured object and the low-density measured object at the second reference temperature, when the weight water content of the measured object is determined to be the reference weight water content, the output data of the corresponding sensor is correspondingly used as third output data and fourth output data;
calculating and storing density coefficients corresponding to the reference temperature and the reference output data according to the first output data, the second output data, the third output data and the fourth output data;
the step of periodically updating the density coefficient according to the change of the density coefficient with time specifically comprises: calculating the density coefficient according to the method at preset time intervals, and updating the currently stored density coefficient by using the calculated density coefficient; or generating and storing a chronological curve according to the change of the density coefficient along with the time, and automatically updating the currently stored density coefficient according to the stored chronological curve;
when the weight water content of the measured object is measured, reading the current temperature of the measured object and the output data of the corresponding sensor, respectively taking the current temperature and the current output data, and calculating the current weight water content of the measured object according to the current temperature, the current output data and the current density coefficient; wherein, according to the current temperature, the current output data and the current density coefficient, the current weight water content of the measured object is calculated, which specifically comprises:
step A1: reading a currently stored density coefficient as a current density coefficient, and searching an initial temperature and a cut-off temperature of a first interval where the current temperature is located in the first reference value corresponding table to respectively serve as a third reference temperature and a fourth reference temperature;
step A2: generating a reference curve and a reference value corresponding table when the density coefficient is the current density coefficient at the third reference temperature according to the first reference curve of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
step A3: generating a reference curve and a reference value corresponding table, of which the density coefficient is the current density coefficient, at the fourth reference temperature according to the first reference curves of the high-density measured object and the low-density measured object at the fourth reference temperature or the first reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
step A4: generating a reference curve and a reference value corresponding table of which the density coefficient is the current density coefficient at the current temperature according to the second reference curve and the third reference curve or according to the second reference value corresponding table and the third reference value corresponding table, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
step A5: and calculating the weight water content corresponding to the current output data according to the fourth reference value corresponding table, and taking the weight water content as the current weight water content of the measured object.
2. The method of claim 1,
the step a2 specifically includes: respectively calculating output data corresponding to different weight water contents at the third reference temperature when the density coefficient is the current density coefficient according to the first reference curves of the high-density measured object and the low-density measured object at the third reference temperature or the first reference value corresponding table; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
the step a3 specifically includes: respectively calculating output data corresponding to different weight water contents at the fourth reference temperature and when the density coefficient is the current density coefficient according to the first reference curves of the high-density measured object and the low-density measured object at the fourth reference temperature or a first reference value corresponding table; generating a reference curve or a reference value corresponding table according to the different water contents by weight and the calculated corresponding output data, and correspondingly using the reference curve or the reference value corresponding table as a third reference curve and a third reference value corresponding table;
the step a4 specifically includes: determining output data corresponding to different weight water contents at the current temperature when the density coefficient is the current density coefficient according to the second reference curve and the third reference curve or according to the second reference value corresponding table and the third reference value corresponding table; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the determined corresponding output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
the step a5 specifically includes: searching the initial output data and the cut-off output data of the second interval where the current output data is located in the fourth reference value corresponding table, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data; and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content thereof, and the eighth output data and the corresponding weight water content thereof, and taking the weight water content as the current weight water content of the measured object.
3. The utility model provides a moisture content by weight measuring device which characterized in that includes:
the first determining module is used for determining the corresponding relation between the weight water content of the measured object with different temperatures and densities and the output data of the sensor; wherein the first determining module specifically includes: the device comprises a measuring submodule, a first calculating submodule, a first generating submodule and a first storing submodule;
the measuring submodule is used for respectively measuring the weight water content of the high-density measured object and the low-density measured object at different temperatures and the capacitance change of the corresponding sensor;
the first calculation submodule is used for calculating output data of the sensor according to the capacitance change measured by the measurement submodule and the measurement loop;
the first generation submodule is used for establishing association between each weight water content measured by the measurement submodule and each corresponding output data calculated by the first calculation submodule to generate a first reference curve and a first reference value corresponding table of high-density measured objects and low-density measured objects at different temperatures;
the first storage submodule is used for storing a first reference curve and a first reference value corresponding table generated by the first generation submodule;
the receiving module is used for receiving the weight water content of the measured object and taking the weight water content as the reference weight water content;
the reading module is used for reading the temperature corresponding to the reference weight water content and the output data of the sensor when the receiving module receives the reference weight water content of the measured object, and the read temperature and the output data are respectively used as the reference temperature and the reference output data;
the second determining module is used for determining a density coefficient according to the corresponding relation determined by the first determining module, the reference weight water content received by the receiving module, the reference temperature read by the reading module and the reference output data; wherein the second determining module specifically includes: the device comprises a first searching submodule, a first determining submodule, a second calculating submodule and a second storing submodule;
the first searching submodule is used for searching the initial temperature and the cut-off temperature of the first interval where the reference temperature read by the reading module is located in a first reference value corresponding table stored in the first storage submodule, and the initial temperature and the cut-off temperature are respectively used as a first reference temperature and a second reference temperature;
the first determining submodule is used for respectively determining output data of corresponding sensors and correspondingly taking the output data as first output data and second output data when the weight water content of the measured object is the reference weight water content according to the first reference curves of the high-density measured object and the low-density measured object at the first reference temperature;
the second determining submodule is used for respectively determining output data of corresponding sensors as third output data and fourth output data when the weight water content of the measured object is the standard weight water content according to the first standard curves of the high-density measured object and the low-density measured object at the second reference temperature;
the second calculating submodule is used for calculating the reference temperature and the density coefficient corresponding to the reference output data according to the first output data and the second output data determined by the first determining submodule and the third output data and the fourth output data determined by the second determining submodule;
the second storage submodule is used for storing the density coefficient calculated by the second calculation submodule;
the updating module is used for periodically updating the density coefficient according to the change of the density coefficient along with the time;
the update module is specifically configured to: calculating the density coefficient at preset time intervals according to the method, and updating the density coefficient currently stored in the second storage submodule by using the calculated density coefficient; or generating and storing a chronological curve according to the change of the density coefficient along with the time, and automatically updating the currently stored density coefficient of the second storage submodule according to the stored chronological curve;
the reading module is further used for reading the current temperature of the measured object and the output data of the corresponding sensor when the weight and the water content of the measured object are measured, and the current temperature and the current output data are respectively used as the current temperature and the current output data;
the calculation module is used for calculating the current weight water content of the measured object according to the current temperature, the current output data and the current density coefficient read by the reading module; wherein, the calculation module specifically comprises: the second search submodule, the second generation submodule, the third generation submodule, the fourth generation submodule and the third calculation submodule;
the second searching submodule is used for reading the density coefficient currently stored in the second storage submodule to be used as the current density coefficient, searching the initial temperature and the cut-off temperature of the first interval where the current temperature read by the reading module is located in the first reference value corresponding table stored in the first storage submodule, and respectively using the initial temperature and the cut-off temperature as a third reference temperature and a fourth reference temperature;
the second generation submodule is configured to generate a reference curve and a reference value corresponding table at the third reference temperature when the density coefficient is the current density coefficient, and correspondingly serve as a second reference curve and a second reference value corresponding table, according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the third reference temperature stored in the first storage submodule;
the third generation submodule is configured to generate a reference curve and a reference value corresponding table, in which a density coefficient is the current density coefficient at a fourth reference temperature, according to a first reference curve of a high-density measured object and a first reference curve of a low-density measured object at the fourth reference temperature stored in the first storage submodule, or the first reference value corresponding table, and to correspondingly serve as a third reference curve and a third reference value corresponding table;
the fourth generation submodule is configured to generate a reference curve and a reference value corresponding table, in which a density coefficient is the current density coefficient at the current temperature, according to the second reference curve generated by the second generation submodule and the third reference curve generated by the third generation submodule, or according to the second reference value corresponding table generated by the second generation submodule and the third reference value corresponding table generated by the third generation submodule, and use the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table correspondingly;
and the third calculation submodule is used for calculating the weight water content corresponding to the current output data read by the reading module according to a fourth reference value corresponding table generated by the fourth generation submodule, and the weight water content is used as the current weight water content of the measured object.
4. The apparatus of claim 3,
the second generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a third reference temperature and when the density coefficient is the current density coefficient according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the third reference temperature stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a second reference curve and a second reference value corresponding table;
the third generation submodule is specifically configured to: respectively calculating output data corresponding to different weight water contents at a fourth reference temperature and when the density coefficient is the current density coefficient according to a first reference curve or a first reference value corresponding table of the high-density measured object and the low-density measured object at the fourth reference temperature stored by the first storage sub-module; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a third reference curve and a third reference value corresponding table;
the fourth generation submodule is specifically configured to: determining each output data corresponding to each different weight water content at the current temperature and when the density coefficient is the current density coefficient according to a second reference curve generated by the second generation submodule and a third reference curve generated by the third generation submodule or according to a second reference value correspondence table generated by the second generation submodule and a third reference value correspondence table generated by the third generation submodule; generating a reference curve and a reference value corresponding table according to the different water contents by weight and the corresponding calculated output data, and correspondingly using the reference curve and the reference value corresponding table as a fourth reference curve and a fourth reference value corresponding table;
the third computation submodule is specifically configured to: searching the initial output data and the cut-off output data of the second interval where the current output data is located in a fourth reference value corresponding table generated by the fourth generation submodule, and respectively using the initial output data and the cut-off output data as seventh output data and eighth output data; and calculating the weight water content corresponding to the current output data according to the seventh output data and the corresponding weight water content thereof, and the eighth output data and the corresponding weight water content thereof, and taking the weight water content as the current weight water content of the measured object.
CN201810317265.2A 2018-04-10 2018-04-10 Method and device for measuring water content by weight Active CN108956719B (en)

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CN106153692A (en) * 2016-09-12 2016-11-23 山东农业大学 A kind of cereal moisture percentage on-line equipment based on dielectric parameter and measuring method thereof

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Publication number Priority date Publication date Assignee Title
JP3337141B2 (en) * 2000-02-28 2002-10-21 株式会社田窪工業所 Method and apparatus for measuring moisture content of fine fibrous material
CN201662557U (en) * 2009-12-16 2010-12-01 北京瑞琦曼仪表有限公司 Crude oil containing water analyzer device with temperature and pressure compensation
CN105842306A (en) * 2016-05-20 2016-08-10 南京信息工程大学 Water content measuring device and measuring method
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