CN114858982A - Directional clamping winding type building material measuring system and method - Google Patents
Directional clamping winding type building material measuring system and method Download PDFInfo
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Abstract
The invention discloses a directional clamping winding type building material measuring system and a method, which relate to the technical field of measurement and control and solve the technical problem of material measurement. The method and the device can realize building material performance parameter detection, can extract regular distribution of detection sample points, and further output a single building material performance parameter data function; calculating the performance parameters of the variable building materials by setting Lagrange constants and measuring the time consumed in the process; the performance parameter data of a single building material is decomposed, and performance quality calculation of the building material performance parameter data sample is improved.
Description
Technical Field
The invention relates to the technical field of measurement and control, in particular to a directional clamping winding type building material measuring system and method.
Background
The winding type lifting is a lifting mode that one end of a steel wire rope is fixed and wound on a winding drum of a lifting machine, the other end of the steel wire rope is hung on a lifting container, and the winding drum is used for turning in different directions to realize lifting of building materials. The directional clamping winding type building material is a machine for realizing lifting of the building material by winding and releasing a steel wire rope on a winding drum in building material application. In one embodiment, the hoisting and lowering movement of the building material is realized by fixing and winding one end of the steel wire rope on the hoisting drum, hanging the hoisting container by the other end of the steel wire rope around the head sheave, and winding or unwinding the steel wire rope by utilizing the forward and reverse rotation of the drum.
At present, people put forward higher requirements on the rigidity, the hardness, the fatigue resistance and the stretching degree of the directional clamping winding type building material, and how to realize the measurement of the parameter data information becomes a problem to be solved urgently.
Disclosure of Invention
Aiming at the technical defects, the invention discloses a directional clamping winding type building material measuring system and a method.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a directional clamping winding building material measuring system and method includes:
the measuring module is used for measuring the temperature, the rigidity, the hardness, the fatigue resistance or the stretching degree of the directional clamping winding type building material;
the temperature measurement device comprises a reference voltage generator, a temperature measurement generator, a voltage conversion regulator, a first amplifying circuit, a second amplifying circuit, a third amplifying circuit, a digital-to-analog conversion circuit and a computer processing unit, wherein the input end of the reference voltage generator is connected with the first amplifying circuit and the second amplifying circuit, the output end of the temperature measurement generator is connected with the input end of the voltage conversion regulator, the output end of the voltage conversion regulator is connected with the input end of the third amplifying circuit, the output ends of the first amplifying circuit, the second amplifying circuit and the third amplifying circuit are connected with the input end of the digital-to-analog conversion circuit, the output end of the digital-to-analog conversion circuit is connected with the calculation processing unit, and the output end of the calculation processing unit is connected with the input end of a computer system;
the directional clamping winding type building material detection device is used for evaluating the condition that the measurement module detects the directional clamping winding type building material;
the variable pattern decomposition learning algorithm model is used for measuring the building material performance parameter information, providing a similarity function to construct a matching pattern, and reasonably distributing and processing decomposed building material performance parameter data functions to obtain an optimal measurement performance comparison result;
the computer system is used for receiving the data information output by the measuring module;
the variable mode decomposition learning algorithm model is connected with the calculation processing unit, and the directional clamping winding type building material detection device is connected with the reference voltage generator and the temperature measurement generator.
In a specific embodiment, when measuring the stiffness, the hardness, the fatigue resistance, or the elongation, a plurality of measuring components such as a temperature measuring generator are converted into a stiffness, hardness, fatigue resistance, or elongation measuring module, and data information of the stiffness, hardness, fatigue resistance, or elongation can be output.
As a further technical scheme of the invention, the first amplifying circuit, the second amplifying circuit and the third amplifying circuit are respectively a first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 An amplifying circuit.
Through the arrangement of the first amplifying circuit, the second amplifying circuit and the third amplifying circuit, detected rigidity, hardness, fatigue resistance or stretching degree data information can be amplified, and in specific application, an input module signal is converted into a digital signal so as to improve the data analysis capability.
As a further technical solution of the present invention, the temperature measurement generator comprises a current source I proportional to the temperature coefficient 0 And a resistor R connected in series to the current source and to ground 1 Current source I 0 And a resistor R 1 Configured to generate a voltage value signal and then output the generated voltage value signal to a voltage conversion regulator circuit;
the temperature measurement generator further comprises a first N-type MOS transistor M connected in parallel 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 ；
The first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Forming a source follower;
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to the current source I 0 Source terminals coupled to the voltage output terminals V, respectively P To output a voltage value signal linearly varying with the temperature coefficient; second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Respectively pass through the first switch S 1 And a second switch S 2 Coupled to a first N-type MOS transistor M 1 A gate electrode of (1);
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to a first current source I 1 A second current source I 2 And a third current source I 3 An input terminal of (1);
a first current source I 1 Is grounded, and a second current source I 2 And a third current source I 3 Respectively through a third switch S 3 And a fourth switch S 4 Grounding;
by providing a first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Calculating the first current source I 1 To a second current source I 2 A third current source I 3 The frequency of the output signal of (a) is,
by setting a first switch S l A second switch S 2 On-off state of, third switch S 3 And a fourth switch S 4 To control the current flowing through the first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 To control the voltage value of the voltage output terminal Vp;
by setting a first current source I 1 And a second current source I 2 The on-off frequency of the third current source I; setting a third switch S 3 And a fourth switch S 4 On or off state of;
as a further technical scheme of the invention, the variable mode decomposition learning algorithm model comprises a data input module, a data processing module and a data output module, wherein the output end of the data input module is connected with the input end of the data processing module, and the output end of the data processing module is connected with the input end of the data output module.
As a further technical scheme of the invention, the method comprises the following steps
The method comprises the following steps: designing a reference voltage generator circuit through a measuring module, connecting an input/output end of the reference voltage generator circuit to an external directional clamping winding type building material detection device, and connecting an output end of the directional clamping winding type building material detection device to a first amplifier circuit and a second amplifier circuit;
outputting the signal to a first amplifier circuit to generate a first bandgap reference voltage signal, wherein the first bandgap reference voltage signal is recorded as an upper limit of a reference voltage value;
a second bandgap reference voltage signal output to the first amplifier circuit and the second amplifier circuit, and recorded as a lower reference voltage value limit;
in the step, the first band gap preferred voltage signal and the second band gap reference voltage signal do not change along with the temperature, and the reference voltage generator circuit simultaneously inputs the two generated reference voltage paths into the directional clamping winding type building material detection device;
in this step, the calibration of the two-path reference voltage upper limit and the reference voltage lower limit for the external detection device to detect and calibrate the reference voltage may be performed by a calibration circuit internally or externally connected to the reference voltage generator circuit;
step two: a voltage conversion regulator circuit connected to an input of the directional clamp wound building material detection device and the temperature measurement generator circuit, the directional clamp wound building material detection device and the temperature measurement generator circuit configured to convert the temperature measurement to the amplifier circuit upon receiving a voltage conversion regulation indication signal input from the directional clamp wound building material detection device;
step three: the directional clamping winding type building material measuring system measuring module comprises three amplifier circuits,
in this step, the first amplifier circuit and the second amplifier circuit are configured to adjust an upper reference voltage limit and a lower reference voltage limit, respectively, and then output the upper reference voltage limit and the lower reference voltage limit to the analog-to-digital converter circuit, and the third amplifier circuit is connected in such a manner that a crystal grain amplification factor is adjusted within a range of 0 to 5, and is configured to amplify a temperature measurement voltage value, adjust the temperature measurement voltage value to be between the upper reference voltage value limit and the lower reference voltage value limit, and output the temperature measurement voltage value to the analog-to-digital converter circuit;
in this step, the analog-to-digital converter circuit is configured to convert the reference voltage upper limit and the reference voltage lower limit into digital signals, and convert the temperature measurement voltage value between the reference voltage upper limit and the reference voltage lower limit into digital signals, the digital signals being indicative of the temperature;
step four: the output material measurement temperature parameter digital signal is processed by a computing unit;
in the step, a variable pattern decomposition learning algorithm is adopted to decompose the building material performance parameter information measured by the directional clamping winding type building material detection device, a similarity function is provided to construct a matching pattern, the decomposed building material performance parameter data function is reasonably distributed and processed, and the obtained measurement performance comparison result is output to a computer system.
As a further technical scheme of the invention, the variable mode decomposition learning algorithm comprises the following steps:
step 1: recording all the building material performance parameters as data samples, and constructing a data sample set which is expressed by an algebraic expression as follows:
in the formula (1), the first and second groups,
representing a sample set of building material performance parameter data;
representing a regularized distribution of test sample points;
representing a single building material performance parameter data function;
representing the lagrangian constant;
indicating the time consumed by the measurement process.
Through the step 1, the building material performance parameter data sample information can be converted into microscopic data information, and a building material performance parameter data function is constructed to be converted into a Lagrange function equation, so that the computing capability of the data information is improved.
Step 2: the constraint condition of equation (1) is transformed into a variable unconstrained state according to the variability of the detection device in the measurement state, which can be expressed as follows:
in the formula (2), the first and second groups,
representing a variable building material performance parameter;
represents the amplitude of variation;
a similarity function representing the building material performance parameter to a specified standard value;
the constraint condition of the building material data information can be converted into a variable unconstrained state through the step 2, the variable building material performance parameter is converted into a variation amplitude so as to improve the approximate calculation between the building material performance parameter and a specified standard value, and certain parameters of temperature, rigidity, hardness, fatigue resistance or stretching degree and the like of the building material data information are converted into function expression, so that the variation amplitude of the material is fully considered during calculation so as to improve the evaluation and calculation of the building material.
And step 3: decomposing the variable type building material performance parameter data samples, disordering and recombining the data with the relation, wherein the decomposed single building material performance parameter data function is as follows:
in the formula (3), the first and second groups,
representing the similarity of the building material performance parameter and a specified standard value,
a standard mathematical model of the decomposition is represented,
a similarity matrix representing the prevalence of detection devices;
through the step 3, the variable type building material performance parameter data samples are decomposed, data information such as temperature, rigidity, hardness, fatigue resistance or stretching degree of the reaction material condition can be expressed in a microcosmic mode, and further the data information capacity of the building material performance parameter data sample is improved, so that deep data meaning is mined.
And 4, step 4: according to the decomposed building material performance parameter data function, similarity screening is carried out on the building material performance parameter data samples with the individual characteristics after decomposition, and therefore the optimal similarity expression is obtained as follows:
in the formula (4), the first and second groups,
representing the optimal similarity;
representing a total number of samples of building material performance parameter data;
representing ordinal numbers;
representing the similarity formula parameters. Reasonably distributing and processing the decomposed building material performance parameter data function through a matching mode established by a variable mode decomposition learning algorithm to obtain the optimal measurement parameter and verify the actual application of the optimal measurement parameter, wherein the verification algorithm is expressed as:
in the formula (5), the first and second groups,
the practical application standard of the best measurement parameter is shown, in the specific embodiment, a quantitative threshold value is given to the practical application standard, and the current performance of the directional clamping winding type building material is obtained through comparison results.
The invention has the beneficial and positive effects that:
different from the conventional technology, the building material performance parameter detection method can realize building material performance parameter detection, and can extract the regular distribution of detection sample points by detecting the change rules of different data information, so as to output a single building material performance parameter data function; calculating the performance parameters of the variable building materials by setting Lagrange constants and measuring the time consumed in the process; by representing the amplitude of the material property variation; the method can realize the calculation of the similar function of the building material performance parameter and the specified standard value, further decompose the single building material performance parameter data, and improve the performance calculation of the building material performance parameter data sample.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive labor, wherein:
FIG. 1 is an overall block diagram of a directional clamping wound building material measurement system and method of the present invention;
fig. 2 is a circuit diagram of a temperature measurement generator according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for the purpose of illustrating and explaining the present invention and are not intended to limit the present invention.
Example (1) System
As shown in fig. 1 and 2, a directional clamping winding building material measuring system and method includes:
a measuring module for measuring the temperature, rigidity, hardness, fatigue resistance or stretching degree of the directional clamping winding type building material,
the temperature measurement and control device comprises a reference voltage generator, a temperature measurement generator, a voltage conversion regulator, a first amplifying circuit, a second amplifying circuit, a third amplifying circuit, a digital-to-analog conversion circuit and a computer processing unit, wherein the input end of the reference voltage generator is connected with the first amplifying circuit and the second amplifying circuit, the output end of the temperature measurement generator is connected with the input end of the voltage conversion regulator, the output end of the voltage conversion regulator is connected with the input end of the third amplifying circuit, the output ends of the first amplifying circuit, the second amplifying circuit and the third amplifying circuit are connected with the input end of the digital-to-analog conversion circuit, the output end of the digital-to-analog conversion circuit is connected with the calculation processing unit, and the output end of the calculation processing unit is connected with the input end of a computer system;
the directional clamping winding type building material detection device is used for evaluating the condition that the measurement module detects the directional clamping winding type building material;
the variable pattern decomposition learning algorithm model is used for measuring the building material performance parameter information, providing a similarity function to construct a matching pattern, and reasonably distributing and processing decomposed building material performance parameter data functions to obtain an optimal measurement performance comparison result;
the computer system is used for receiving the data information output by the measuring module;
the variable mode decomposition learning algorithm model is connected with the calculation processing unit, and the directional clamping winding type building material detection device is connected with the reference voltage generator and the temperature measurement generator.
In the above embodiment, the first amplifying circuit, the second amplifying circuit and the third amplifying circuit are the first N-type MOS transistor M respectively 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 An amplifying circuit.
In the above embodiment, the temperature measurement generator comprises a current source I proportional to the temperature coefficient 0 And a resistor R connected in series to the current source and to ground 1 Current source I 0 And a resistor R 1 Configured to generate a voltage value signal and then output the generated voltage value signal to a voltage conversion regulator circuit;
the temperature measurement generator further comprises a first N-type MOS transistor M connected in parallel 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 ；
The first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Forming a source follower;
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to the current source I 0 Source terminals coupled to the voltage output terminals V, respectively P To output a voltage value signal linearly varying with the temperature coefficient; second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Respectively pass through the first switch S 1 And a second switch S 2 Coupled to a first N-type MOS transistor M 1 A gate electrode of (1);
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to a first current source I 1 A second current source I 2 And a third current source I 3 An input terminal of (1);
a first current source I 1 Is grounded, and a second current source I 2 And a third current source I 3 Respectively through a third switch S 3 And a fourth switch S 4 Grounding;
by providing a first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Calculating the first current source I 1 To a second current source I 2 A third current source I 3 The frequency of the output signal of (a),
by setting a first switch S l A second switch S 2 On-off state of, third switch S 3 And a fourth switch S 4 To control the current flowing through the first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 To control the voltage value of the voltage output terminal Vp;
by setting a first current source I 1 And a second current source I 2 The on-off frequency of the third current source I; setting a third switch S 3 And a fourth switch S 4 On or off state of;
in the above embodiment, the variable pattern decomposition learning algorithm model includes a data input module, a data processing module and a data output module, wherein an output end of the data input module is connected to an input end of the data processing module, and an output end of the data processing module is connected to an input end of the data output module.
With the above embodiment, four different states set the current value to 1, 2, 3, and 4; the four states of the N-type MOS transistor and the four states of the current value are combined to control the voltage value of the voltage output end V; thereby outputting a voltage value of the measured temperature conversion; in the above embodiment, the measurement module can realize data information of various parameters of the directionally-clamped winding building material, and the condition of the directionally-clamped winding building material is evaluated and detected, so as to realize different test requirements on the use function requirements of the material, such as the basic parameter density, the apparent density, the bulk density porosity and the like of the building material. The processing and calculation of the performance parameters of the building materials are realized through a variable mode decomposition learning algorithm model, and the receiving of the measured data information is realized through a computer system so as to observe or comprehensively trace the source.
Example (2) Process
A method for measuring the directionally clamped and wound building material includes
The method comprises the following steps: designing a reference voltage generator circuit through a measuring module, connecting an input/output end of the reference voltage generator circuit to an external directional clamping winding type building material detection device, and connecting an output end of the directional clamping winding type building material detection device to a first amplifier circuit and a second amplifier circuit;
outputting the signal to a first amplifier circuit, and generating a first bandgap reference voltage signal, wherein the first bandgap reference voltage signal is recorded as an upper limit of a reference voltage value;
a second bandgap reference voltage signal output to the first amplifier circuit and the second amplifier circuit, and recorded as a lower reference voltage value limit;
in the step, the first band gap preferred voltage signal and the second band gap reference voltage signal do not change along with the temperature, and the reference voltage generator circuit simultaneously inputs the two generated reference voltage paths into the directional clamping winding type building material detection device;
in this step, the calibration of the two-path reference voltage upper limit and the reference voltage lower limit for the external detection device to detect and calibrate the reference voltage may be performed by a calibration circuit internally or externally connected to the reference voltage generator circuit;
step two: a voltage conversion regulator circuit connected to an input of the directional clamp wound building material detection device and the temperature measurement generator circuit, the directional clamp wound building material detection device and the temperature measurement generator circuit configured to convert the temperature measurement to the amplifier circuit upon receiving a voltage conversion regulation indication signal input from the directional clamp wound building material detection device;
step three: the directional clamping winding type building material measuring system measuring module comprises three amplifier circuits,
in this step, the first amplifier circuit and the second amplifier circuit are configured to adjust an upper reference voltage limit and a lower reference voltage limit, respectively, and then output the upper reference voltage limit and the lower reference voltage limit to the analog-to-digital converter circuit, and the third amplifier circuit is connected in such a manner that a crystal grain amplification factor is adjusted within a range of 0 to 5, and is configured to amplify a temperature measurement voltage value, adjust the temperature measurement voltage value to be between the upper reference voltage value limit and the lower reference voltage value limit, and output the temperature measurement voltage value to the analog-to-digital converter circuit;
in this step, the analog-to-digital converter circuit is configured to convert the reference voltage upper limit and the reference voltage lower limit into digital signals, and convert the temperature measurement voltage value between the reference voltage upper limit and the reference voltage lower limit into digital signals, the digital signals being indicative of the temperature;
step four: the output material measurement temperature parameter digital signal is processed by a computing unit;
in the step, a variable pattern decomposition learning algorithm is adopted to decompose the building material performance parameter information measured by the directional clamping winding type building material detection device, a similarity function is provided to construct a matching pattern, the decomposed building material performance parameter data function is reasonably distributed and processed, and the obtained measurement performance comparison result is output to a computer system.
In the above embodiment, the variable pattern decomposition learning algorithm comprises the steps of:
step 1: recording all the building material performance parameters as data samples, and constructing a data sample set which is expressed by an algebraic expression as follows:
in the formula (1), the first and second groups,
representing a sample set of building material performance parameter data;
representing a regularized distribution of test sample points;
representing a single building material performance parameter data function;
representing the Lagrangian constant;
indicating the time consumed by the measurement process.
Through the step 1, the building material performance parameter data sample information can be converted into microscopic data information, and a building material performance parameter data function is constructed to be converted into a Lagrange function equation, so that the computing capability of the data information is improved.
Step 2: the constraint condition of equation (1) is transformed into a variable unconstrained state according to the variability of the detection device in the measurement state, which can be expressed as follows:
in the formula (2), the first and second groups,
representing a variable building material performance parameter;
represents the amplitude of variation;
a similarity function representing the building material performance parameter to a specified standard value;
the constraint condition of the building material data information can be converted into a variable unconstrained state through the step 2, the variable building material performance parameter is converted into a variation amplitude so as to improve the approximate calculation between the building material performance parameter and a specified standard value, and certain parameters of temperature, rigidity, hardness, fatigue resistance or stretching degree and the like of the building material data information are converted into function expression, so that the variation amplitude of the material is fully considered during calculation so as to improve the evaluation and calculation of the building material.
And step 3: decomposing the variable type building material performance parameter data samples, disordering and recombining the data with the relation, wherein the decomposed single building material performance parameter data function is as follows:
in the formula (3), the first and second groups,
representing the similarity of the building material performance parameter and a specified standard value,
a standard mathematical model of the decomposition is represented,
a similarity matrix representing the prevalence of detection devices;
through the step 3, the variable type building material performance parameter data samples are decomposed, data information such as temperature, rigidity, hardness, fatigue resistance or stretching degree of the reaction material condition can be expressed in a microscopic mode, and further the data information capacity of the building material performance parameter data samples is improved, and deep data meaning is mined.
And 4, step 4: according to the decomposed building material performance parameter data function, similarity screening is carried out on the building material performance parameter data samples with the individual characteristics after decomposition, and therefore the optimal similarity expression is obtained as follows:
in the formula (4), the first and second groups,
representing the optimal similarity;
representing a total number of samples of building material performance parameter data;
representing ordinal numbers;
representing the similarity formula parameters. Reasonably distributing and processing the decomposed building material performance parameter data function through a matching mode established by a variable mode decomposition learning algorithm to obtain the optimal measurement parameter and verify the actual application of the optimal measurement parameter, wherein the verification algorithm is expressed as:
in the formula (5), the first and second groups,
the practical application standard of the best measurement parameter is shown, in the specific embodiment, a quantitative threshold value is given to the practical application standard, and the current performance of the directional clamping winding type building material is obtained through comparison results.
Although specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are merely illustrative and that various omissions, substitutions and changes in the form of the detail of the methods and systems described above may be made by those skilled in the art without departing from the spirit and scope of the invention. For example, it is within the scope of the present invention to combine the steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (6)
1. A directional clamping winding type building material measuring system is characterized in that: the measurement system includes:
the measuring module is used for measuring the temperature, the rigidity, the hardness, the fatigue resistance or the stretching degree of the directional clamping winding type building material, the measuring module comprises a reference voltage generator, a temperature measuring generator, a voltage conversion regulator, a first amplifying circuit, a second amplifying circuit, a third amplifying circuit, a digital-to-analog conversion circuit and a computer processing unit, wherein the input end of the reference voltage generator is connected with the first amplifying circuit and the second amplifying circuit, the output end of the temperature measuring generator is connected with the input end of the voltage conversion regulator, the output end of the voltage conversion regulator is connected with the input end of the third amplifying circuit, the output ends of the first amplifying circuit, the second amplifying circuit and the third amplifying circuit are connected with the input end of the digital-to-analog conversion circuit, and the output end of the digital-to-analog conversion circuit is connected with the computer processing unit, the output end of the computing processing unit is connected with the input end of the computer system;
the directional clamping winding type building material detection device is used for evaluating the condition that the measurement module detects the directional clamping winding type building material;
the variable pattern decomposition learning algorithm model is used for measuring the building material performance parameter information, providing a similarity function to construct a matching pattern, and reasonably distributing and processing decomposed building material performance parameter data functions to obtain an optimal measurement performance comparison result;
the computer system is used for receiving the data information output by the measuring module;
the variable mode decomposition learning algorithm model is connected with the calculation processing unit, and the directional clamping winding type building material detection device is connected with the reference voltage generator and the temperature measurement generator.
2. A directional clamping wound building material measurement system as claimed in claim 1, wherein: the first, second and third amplifying circuits are first N-type MOS transistors M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 An amplifying circuit.
3. A directional grip wrap as recited in claim 1, wherein said wrap is a single wrapWinding type building material measurement system, its characterized in that: the temperature measurement generator comprises a current source I proportional to the temperature coefficient 0 And a resistor R connected in series to the current source and to ground 1 Current source I 0 And a resistor R 1 Configured to generate a voltage value signal and then output the generated voltage value signal to a voltage conversion regulator circuit;
the temperature measurement generator further comprises a first N-type MOS transistor M connected in parallel 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 ；
The first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Forming a source follower;
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to the current source I 0 Source terminals coupled to the voltage output terminals V, respectively P To output a voltage value signal linearly varying with the temperature coefficient; second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Respectively pass through the first switch S 1 And a second switch S 2 Coupled to a first N-type MOS transistor M 1 A gate electrode of (1);
first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Are respectively coupled to a first current source I 1 A second current source I 2 And a third current source I 3 An input terminal of (1);
a first current source I 1 Is grounded, and a second current source I 2 And a third current source I 3 Respectively through a third switch S 3 And a fourth switch S 4 Grounding;
by providing a first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 Calculating the first current source I 1 To a second current source I 2 A third current source I 3 The frequency of the output signal of (a),
by setting a firstSwitch S l A second switch S 2 On-off state of, third switch S 3 And a fourth switch S 4 To control the current flowing through the first N-type MOS transistor M 1 A second N-type MOS transistor M 2 And a third N-type MOS transistor M 3 To control the voltage value of the voltage output terminal Vp;
by setting a first current source I 1 And a second current source I 2 The on-off frequency of the third current source I; provided with a third switch S 3 And a fourth switch S 4 On or off state.
4. A directional clamping wound building material measurement system as claimed in claim 1, wherein: the variable mode decomposition learning algorithm model comprises a data input module, a data processing module and a data output module, wherein the output end of the data input module is connected with the input end of the data processing module, and the output end of the data processing module is connected with the input end of the data output module.
5. A directional clamping winding type building material measuring method is characterized in that: comprises that
The method comprises the following steps: designing a reference voltage generator circuit through a measuring module, connecting an input/output end of the reference voltage generator circuit to an external directional clamping winding type building material detection device, and connecting an output end of the directional clamping winding type building material detection device to a first amplifier circuit and a second amplifier circuit;
outputting the signal to a first amplifier circuit, and generating a first bandgap reference voltage signal, wherein the first bandgap reference voltage signal is recorded as an upper limit of a reference voltage value;
outputting a second bandgap reference voltage signal to the first amplifier circuit and to the second amplifier circuit as a lower reference voltage value limit;
in the step, the first band gap preferred voltage signal and the second band gap reference voltage signal do not change along with the temperature, and the reference voltage generator circuit simultaneously inputs the two generated reference voltage paths into the directional clamping winding type building material detection device;
in this step, the calibration of the two-path reference voltage upper limit and the reference voltage lower limit for the external detection device to detect and calibrate the reference voltage may be performed by a calibration circuit internally or externally connected to the reference voltage generator circuit;
step two: a voltage conversion regulator circuit connected to an input of the directional clamp wound building material detection device and the temperature measurement generator circuit, the directional clamp wound building material detection device and the temperature measurement generator circuit configured to convert the temperature measurement to the amplifier circuit upon receiving a voltage conversion regulation indication signal input from the directional clamp wound building material detection device;
step three: the directional clamping winding type building material measuring system measuring module comprises three amplifier circuits,
in this step, the first amplifier circuit and the second amplifier circuit are configured to adjust an upper reference voltage limit and a lower reference voltage limit, respectively, and then output the upper reference voltage limit and the lower reference voltage limit to the analog-to-digital converter circuit, and the third amplifier circuit is connected in such a manner that a crystal grain amplification factor is adjusted within a range of 0 to 5, and is configured to amplify a temperature measurement voltage value, adjust the temperature measurement voltage value to be between the upper reference voltage value limit and the lower reference voltage value limit, and output the temperature measurement voltage value to the analog-to-digital converter circuit;
in this step, the analog-to-digital converter circuit is configured to convert the reference voltage upper limit and the reference voltage lower limit into digital signals, and convert the temperature measurement voltage value between the reference voltage upper limit and the reference voltage lower limit into digital signals, the digital signals being indicative of the temperature;
step four: the output material measurement temperature parameter digital signal is processed by a computing unit;
in the step, a variable pattern decomposition learning algorithm is adopted to decompose the building material performance parameter information measured by the directional clamping winding type building material detection device, a similarity function is provided to construct a matching pattern, the decomposed building material performance parameter data function is reasonably distributed and processed, and the obtained measurement performance comparison result is output to a computer system.
6. The directional clamping winding building material measuring method according to claim 5, characterized in that: the variable mode decomposition learning algorithm comprises the following steps:
step 1: recording all the building material performance parameters as data samples, and constructing a data sample set which is expressed by an algebraic expression as follows:
in the formula (1), the first and second groups,
representing a sample set of building material performance parameter data;
representing a regularized distribution of test sample points;
representing a single building material performance parameter data function;
representing the lagrangian constant;
represents the measurement process elapsed time;
step 2: the constraint condition of formula (1) is converted into a variable unconstrained state according to the variability of the detection device in the measurement state, which is expressed as follows:
in the formula (2), the first and second groups,
representing a variable building material performance parameter;
represents the amplitude of variation;
a similarity function representing the building material performance parameter to a specified standard value;
and step 3: decomposing the variable type building material performance parameter data samples, disordering and recombining the data with the relation, wherein the decomposed single building material performance parameter data function is as follows:
in the formula (3), the first and second groups,
representing the similarity of the building material performance parameter and a specified standard value,
a standard mathematical model of the decomposition is represented,
a similarity matrix representing the prevalence of detection devices;
and 4, step 4: according to the decomposed building material performance parameter data function, similarity screening is carried out on the building material performance parameter data samples with the individual characteristics after decomposition, and therefore the optimal similarity expression is obtained as follows:
in the formula (4), the first and second groups,
representing the optimal similarity;
representing a total number of samples of building material performance parameter data;
representing ordinal numbers;
representing similarity formula parameters;
reasonably distributing and processing the decomposed building material performance parameter data function through a matching mode established by a variable mode decomposition learning algorithm to obtain the optimal measurement parameter and verify the actual application of the optimal measurement parameter, wherein the verification algorithm is expressed as:
in the formula (5), the first and second groups,
the practical application standard of the best measurement parameter is shown, in the specific embodiment, a quantitative threshold value is given to the practical application standard, and the current performance of the directional clamping winding type building material is obtained through comparison results.
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