A method for measuring the viscosity of a high-temperature liquid fluid

Abstract

The present invention relates to the technical fields of coal gasification, glass processing, and ceramic processing, and specifically relates to a method for measuring the viscosity of high-temperature liquid fluids. The present invention performs corresponding pre-analysis of experimental purpose information to obtain experimental sample information, then configures samples according to the experimental sample information, and obtains experimental samples based on the sample configuration. The experimental samples are subjected to corresponding experiments, the experimental temperature data of the experiments are collected by sensors, the experimental temperature data are analyzed to obtain heating state information, and the viscosity data are analyzed based on the heating state information to obtain viscosity state data. Therefore, the heating state information and viscosity state information are recorded and an experimental report is generated. The experiments are mainly controlled by each control system, and the experimental report is automatically generated, avoiding the influence of accidental human errors on the experimental results and being conducive to the accurate expression of test results.

Description

Technical Field

[0001] The present invention relates to the technical fields of coal gasification glass processing and ceramic processing, and specifically to a method for measuring the viscosity of high-temperature liquid fluids. Background Art

[0002] In many industrial fields and scientific researches, understanding the viscosity characteristics of high-temperature liquid fluids is of crucial significance. Various minerals that present a solid state at normal temperature will undergo a state transformation during the process of continuously increasing temperature. When the temperature rises to a certain extent, generally exceeding 1300 °C, these minerals will gradually transform from a solid state to a liquid state; at this time, the viscosity of the high-temperature liquid, usually expressed as dynamic viscosity, can reflect the flow characteristics of the high-temperature fluid.

[0003] Currently, there are DL / T 660 Test Method for High-Temperature Viscosity Characteristics of Coal Ash and GB / T 31424 Method for Determining the Viscosity of Coal Ash for testing the viscosity of coal ash. The main testing processes of the two methods are similar, and a method for measuring the viscosity of coal ash at high temperature is specified; they mainly rely on manual operation, which has high requirements for the proficiency of operators. During the testing process, the influence of accidental human errors on the experimental results is relatively large, which is not conducive to accurately expressing the test results. Summary of the Invention

[0004] The present invention provides a method for measuring the viscosity of high-temperature liquid fluids to solve the above technical problems.

[0005] The first aspect of the present invention provides a method for measuring the viscosity of high-temperature liquid fluids, including the following steps:

[0006] Step 1: Perform corresponding pre-analysis of the sample according to the experimental purpose information, extract the required sample information based on the experimental purpose information, identify the sample mixing ratio and the initial heating temperature from the required sample information; obtain the preset temperature pre-added value, calculate the sum of the initial heating temperature and the temperature pre-added value to obtain the pre-heating temperature, and synthesize the pre-heating temperature and the sample mixing ratio to obtain the experimental sample information.

[0007] Step 2: Analyze the experiment to obtain the heating state information, configure the sample according to the experimental sample information, and obtain the experimental sample based on the sample configuration. Conduct the corresponding experiment on the experimental sample, collect the experimental temperature data of the experiment through a sensor, and analyze the experimental temperature data to obtain the heating state information.

[0008] As a further improvement of the present invention, the analysis of the experimental temperature data is as follows in specific analysis steps:

[0009] A1: Identify the sample status data, temperature monitoring data, and heating element data from the experimental temperature data, and extract the preheating temperature and sample mixing ratio corresponding to the experimental sample information.

[0010] A2: Identify the sample image data and thermogravimetric data from the sample status data;

[0011] A21: Divide the sample into multiple sub - sample areas, obtain the corresponding particle content according to the sample image data of each sub - sample area, obtain the preset particle content threshold, compare the particle content of each sub - sample area with the particle content threshold. When the particle content is greater than the particle content threshold, calculate the particle influence value by subtracting the particle content threshold from the particle content, and calculate the sum of the particle influence values of each sub - sample area to obtain the total particle influence value.

[0012] A22: The thermogravimetric data includes mass data and heat data; obtain the chemical properties of each constituent element according to the sample mixing ratio, obtain the mass change value and heat absorption and release information when each sample is heated according to the chemical properties. When the sample melts, when substances volatilize and release, there will be a mass loss, and there are changes in heat absorption and release during heating and melting; calculate the difference between the current sample's mass data and the mass change value to obtain the mass difference; when the heat absorption and release information corresponds to absorption, obtain the standard absorption amount corresponding to the sample, and compare the sample's heat data with the standard absorption amount to obtain the heat absorption and release difference.

[0013] A23: Normalize the total particle influence value, mass difference, and heat absorption and release difference and take their numerical values, and obtain the sample status value ypt according to the formula where KL, TY, and sfj represent the total particle influence value, mass difference, and heat absorption and release difference respectively; c1, c2, and c3 are all preset weight factors, with values of 1.08, 0.99, and 1.24 respectively.

[0014] A3: Identify the temperature value, maximum temperature, and minimum temperature from the temperature monitoring data;

[0015] A31: Obtain multiple temperature values, calculate the difference between each temperature value and the preheating temperature to obtain the temperature difference, sum up the temperature differences corresponding to the multiple temperature values and calculate the average value, and mark the numerical value of the average value as the temperature influence value.

[0016] A32: Calculate the difference between the maximum temperature and the minimum temperature to obtain the temperature range value, obtain the preset temperature fluctuation range, match the temperature range value with the temperature fluctuation range. When the temperature range value is greater than the temperature fluctuation range, mark the part of the temperature range value that exceeds the temperature fluctuation range as the fluctuation influence value.

[0017] A33: Construct two circles with the values of the temperature influence value and the fluctuation influence value as the radii of the circles. Taking the centers of the two circles as the starting point and the ending point, draw a straight line perpendicular to each of the two circles respectively, set the value of the straight line as a fixed constant, and then construct a frustum of a cone with the two circles and the straight line. Calculate the volume of the frustum of the cone and mark the value of the volume as the temperature state value.

[0018] A4: Identify the heating power and the component temperature from the heating element data;

[0019] A41: Obtain the preset power thresholds for each heating element, compare the heating power of each heating element with the power threshold. When the heating power is greater than the power threshold, calculate the difference between the heating power and the power threshold to obtain the power overload value. Divide the power overload value into multiple overload value intervals, and each overload value interval corresponds to an overload influence value. Match the power overload values of each heating element with the multiple overload value intervals to obtain the corresponding overload influence values.

[0020] A42: Obtain the preset temperature reference values corresponding to each heating element, compare the component temperature of each heating element with the temperature reference value. When the component temperature is greater than the temperature reference value, calculate the difference between the component temperature and the temperature reference value, and mark the obtained difference as the heat dissipation anomaly value. Calculate the sum of the heat dissipation anomaly values of each heating element to obtain the total heat dissipation anomaly value.

[0021] A43: Construct a triangle with the values of the overload influence value and the total heat dissipation anomaly value as the two right-angled sides of a right-angled triangle, calculate the area of the right-angled triangle and mark the value of the area as the component state value.

[0022] A5: Perform normalization processing on the sample state value, the temperature state value, and the component state value and take their values. According to the formula Obtain the heating state value jrt; where, wdt and yjt represent the temperature state value and the component state value respectively, and Δwdt and Δyjt represent the allowable temperature state value and the allowable component state value respectively; v1, v2, and v3 are all preset weight factors, and their values are 0.32, 0.81, and 0.22 respectively. When the heating state value is greater than the set threshold, generate the corresponding heating state information as heating state anomaly.

[0023] Step 3: Analyze the viscosity measurement data to obtain the viscosity state information. When the heating state information corresponds to normal heating state, obtain the viscosity data through the sensor and analyze the viscosity data to obtain the viscosity state information.

[0024] As a further improvement of the present invention, analyze the viscosity data, and the specific analysis steps are as follows:

[0025] S1: Identify fluid flow data, rotational test data, and fluid composition data from viscosity data;

[0026] S2: Identify pressure value data and flow velocity measurement data from fluid flow data;

[0027] S21: Calculate the pressure drop of the fluid based on Bernoulli's equation and fluid mechanics principles and according to the pressure data of the fluid in the channel, divide the pressure drop into multiple pressure drop intervals, each pressure drop interval corresponding to a pressure influence value, and match the pressure drop of the current fluid with the multiple pressure drop intervals to obtain the corresponding pressure influence value.

[0028] S22: Obtain the flow velocity reference value corresponding to the fluid velocity, and calculate the difference between the current fluid flow velocity measurement data and the flow velocity reference value to obtain the flow velocity difference.

[0029] S23: Normalize the pressure influence value and the flow velocity difference and take their numerical values. According to the formula obtain the fluid state value LT; where YL and SL represent the pressure influence value and the flow velocity difference respectively; a1 and a2 are both preset weight factors, with values of 3.1 and 2.8 respectively.

[0030] S3: Identify the fluid torque value and the rotational component resistance value from the rotational test data;

[0031] S31: Divide the fluid torque value into multiple fluid torque intervals, each fluid torque interval corresponding to a torque influence value, match the fluid torque values of the current fluid corresponding to multiple unit times with the multiple fluid torque values to obtain the corresponding torque influence values, calculate the average value of the torque influence values for each unit time, and record the average value as the torque influence mean value.

[0032] S32: Obtain the resistance values of each rotational component according to the rotational component resistance value, obtain the resistance reference line corresponding to the resistance value, calculate the difference between the resistance value of each rotational component and the resistance reference line to obtain the resistance reference difference, and sum up the resistance reference differences of each rotational component to obtain the total resistance difference.

[0033] S33: Construct an ellipse with the numerical values of the torque influence mean value and the total resistance difference as the major axis and minor axis of the ellipse, calculate the area of the ellipse and mark the numerical value of the area as the rotational state value.

[0034] S4: Divide the fluid composition into viscous influence components and other components. When the composition information corresponds to viscous influence components, obtain the proportion of each viscous influence component, obtain the viscous component content according to the component proportion and the total fluid volume, calculate the difference between the viscous component content corresponding to each viscous influence component and the set reference value to obtain the viscous influence amount, and sum up the viscous influence amounts of each viscous influence component to obtain the total viscous influence amount.

[0035] S5: Construct a right trapezoid with the numerical values of the fluid state value and the rotational state value as the upper base and the lower base of the right trapezoid. The length of the right waist is equal to the total viscous shadow amount. Then, rotate the right trapezoid with the right waist as the rotation axis to obtain a frustum of a cone, calculate the volume of the frustum of the cone, and mark the numerical value of the volume as the viscosity state value; divide the annual state value into multiple viscosity state value intervals, each viscosity state value interval corresponds to a viscosity state information, and match the current fluid's viscosity state value with the viscosity state value intervals to obtain the corresponding viscosity state information.

[0036] Step Four: Record according to the heating state information and the viscosity state information and generate an experiment report.

[0037] Step Five: Execute data storage and maintenance, specifically: when the experiment report is generated, turn off each sensor and generate a cooling control instruction; identify the cooling state, and when the temperature is lower than the pre-set safety threshold, generate the corresponding maintenance prompt information.

[0038] In the technical solution provided by the present invention, compared with the prior art, the beneficial effects are:

[0039] In the present invention, the experimental sample information is obtained by performing corresponding pre-analysis on the experimental purpose information, and then the sample is configured according to the experimental sample information. When the sample is undergoing the experiment, the heating state information is obtained by analyzing the experimental temperature data, and the viscosity state data is obtained by analyzing the viscosity data based on the heating state information. Therefore, recording is performed according to the heating state information and the viscosity state information and an experiment report is generated. The experiment is mainly controlled by each control system, and the experiment report is automatically generated, avoiding the influence of accidental human errors on the experimental results and being conducive to the accurate expression of the test results. Brief Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. The following drawings are not deliberately drawn to scale in actual size, and the focus is on showing the gist of the present application.

[0041] Figure 1 It is the method flow chart of the present invention. Detailed Embodiments

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0043] For ease of understanding, the specific process of the embodiments of the present invention will be described below. In an embodiment of the present invention, an embodiment of a method for measuring the viscosity of a high-temperature liquid fluid includes the following steps:

[0044] Embodiment 1:

[0045] Step 1: Preparation before testing, calibration of the melt temperature, heating up for testing, viscosity testing, data recording, and cooling down, which are specifically as follows:

[0046] Preparation before testing includes:

[0047] 1.1 Calibration of the testing space

[0048] (1) Install a standard thermocouple on a three-dimensional platform that can record spatial coordinates and move automatically according to set values.

[0049] (2) Raise the high-temperature furnace used for testing to 1750 °C (the temperature shown on the equipment instrument), and keep it at a constant temperature for 30 minutes.

[0050] (3) Using the above three-dimensional platform, insert the temperature measurement end of the standard thermocouple into a certain position in the high-temperature zone. It can start near the geometric center of the high-temperature zone. After placing it for 10 - 30 minutes, record the current temperature and spatial coordinates. The current point is recorded as position 0.

[0051] (4) Using the three-dimensional platform, move in the horizontal or vertical direction. Each time, move 5 - 10 mm, and after moving, stay still for 3 - 10 minutes, and record the current position and the temperature of the standard thermocouple.

[0052] (5) When the temperature change exceeds a certain set value between 2 - 10 °C, it is considered that this point has exceeded the position of the constant-temperature zone. Retreat to the position of the previous constant-temperature zone, and choose another direction to continue moving.

[0053] (6) According to the above steps, until all the points in the constant-temperature zone are found. Thus, the position of the constant-temperature zone at 1750 °C is obtained.

[0054] (7) Control the furnace temperature of the high-temperature furnace to drop by a certain value between 20 - 60 °C. For example, drop to 1730 °C (the temperature shown on the instrument), and repeat the above steps to find the position of the constant-temperature zone at 1730 °C.

[0055] (8) Repeat the above steps multiple times until the positions of all the constant-temperature zones between 1100 °C - 1750 °C are found.

[0056] 1.2 Temperature calibration

[0057] 1.2.1 Temperature calibration of the testing area

[0058] Purpose: To obtain the accurate temperature of the constant temperature zone in the test area using a standard thermocouple.

[0059] Function: The true temperature in the constant temperature zone can be obtained through the temperature displayed by the instrument.

[0060] Method 1: Constant temperature calibration method

[0061] (1) Install the standard thermocouple on a three-dimensional platform that can record spatial coordinates and move automatically according to the set value.

[0062] (2) Use the three-dimensional platform to place the tip of the thermocouple at the center of the constant temperature zone and record the spatial coordinates at this time (usually represented by three numbers of X, Y, and Z).

[0063] (3) Use the temperature automatic recording device to record the temperature of the constant temperature zone and the temperature of the standard thermocouple.

[0064] (4) Raise the temperature of the constant temperature zone to the specified temperature, generally around 1750 °C. After constant temperature for 5 - 30 min, record the temperature of the constant temperature zone and the temperature of the standard thermocouple.

[0065] (5) Lower the temperature by 5 - 50 °C, continue to keep it at a constant temperature for 5 - 30 min, and then record the temperature of the constant temperature zone and the temperature of the standard thermocouple.

[0066] (6) Repeat the above steps, generally ending when the temperature reaches around 1100 °C.

[0067] (7) The temperature automatic recording device will obtain the relationship points between the temperature of the standard thermocouple and the temperature of the constant temperature zone. The software can connect each point into a continuous curve and express this curve using a formula, generally in the form of Y = aX2 + bX + c. Among them, Y is the temperature of the standard thermocouple, representing the true temperature, X is the temperature of the constant temperature zone (the temperature of the constant temperature zone displayed by the instrument), and a, b, c are parameters obtained from the above curve. This mathematical formula may also be in other forms.

[0068] Method 2: Cooling calibration method

[0069] (1) The same as above;

[0070] (2) The same as above;

[0071] (3) The same as above;

[0072] (4) The same as above;

[0073] (5) The temperature drops at a fixed rate, generally set to a fixed value between 1 - 20 °C / min as the speed of temperature drop.

[0074] (6) During the temperature drop process, the temperature automatic recording device records the relationship among the starting cooling recording time, the standard thermocouple temperature, and the temperature in the constant temperature zone. Generally, the relationship among the three can be recorded once every time period between 1 and 60 seconds. Generally, the process ends when the temperature drops to about 1100 °C.

[0075] (7) According to the needs of different substance tests, the recording of different cooling rate curves can be carried out.

[0076] (8) The temperature automatic recording device will obtain the relationship points between the standard thermocouple temperature and the temperature in the constant temperature zone. The software can connect each point into a continuous curve and express the curve using a formula, generally in the form of Y = aX2 + bX + c. Among them, Y is the temperature of the standard thermocouple, representing the true temperature, X is the temperature in the constant temperature zone (the temperature in the constant temperature zone displayed by the instrument), and a, b, and c are parameters obtained according to the above curve. This mathematical formula may also be in other forms.

[0077] Melt Temperature Calibration

[0078] Purpose: Use a standard thermocouple to obtain the true temperature of the high-temperature melt during the test.

[0079] Function: The true temperature of the high-temperature melt can be obtained through the temperature displayed by the instrument.

[0080] Method 1: Constant Temperature Calibration Method

[0081] (1) Install the standard thermocouple on a three-dimensional platform that can record spatial coordinates and move automatically according to set values.

[0082] (2) Put the sample to be tested once or in multiple times into a special container, and place the special container in the central area of the constant temperature zone.

[0083] (3) Heat the sample to about 1750 °C (the temperature displayed by the instrument) according to a certain procedure. Use the above three-dimensional platform to insert the standard thermocouple into a certain position in the sample. This position is the same as the position point during the formal test. And record the spatial coordinates at this time (generally represented by three numbers X, Y, Z).

[0084] (4) Starting from 1750 °C (the temperature displayed by the instrument), after maintaining a constant temperature for 5 - 30 minutes, the temperature automatic recording device records the temperature displayed by the instrument and the true temperature of the high-temperature melt (the temperature of the standard thermocouple). Then, every time the temperature drops by 10 - 50 °C, and then maintain a constant temperature for 5 - 30 minutes for constant temperature calibration. And record it with the temperature automatic recording device.

[0085] (5) Repeat the above steps. Generally, the process ends when the temperature reaches about 1100 °C.

[0086] (6) The temperature automatic recording device will obtain the relationship points between the standard thermocouple temperature and the high-temperature melt temperature. The software can connect these points into a continuous curve and express this curve using a formula, generally in the form of Y = aX2 + bX + c. Here, Y is the temperature of the standard thermocouple, representing the true temperature of the melt, X is the temperature of the constant temperature zone displayed by the instrument, and a, b, and c are parameters obtained from the above curve. This mathematical formula may also be in other forms.

[0087] Method 2: Cooling and reserve requirement reduction method

[0088] The main process is the same as above, with the difference being that starting from 1750 °C, the temperature is controlled to decrease at a fixed speed, and generally one or more temperatures in the range of 1 - 10 °C / min are selected for cooling.

[0089] 1.3 Viscosity calibration

[0090] Purpose: Use liquids with different accurate viscosities, under the conditions of simulating and testing high-temperature liquid fluids, measure the liquids with known accurate viscosities using a viscosity testing device, and use the values of the accurate viscosities to calibrate the values displayed by the viscosity testing device, so as to obtain the accurate viscosity of the high-temperature liquid fluid during the testing process.

[0091] Method:

[0092] (1) Use a constant temperature device to place the liquid with known accurate viscosity in a stable temperature environment.

[0093] (2) Prepare the viscosity testing device according to the testing requirements.

[0094] (3) According to the testing method of the viscosity testing device, test the liquid with known accurate viscosity. The accurate viscosity is Y, and the viscosity displayed by the instrument is X.

[0095] (4) Use a series of liquids with known viscosities of different viscosities, and the viscosity range should cover the common viscosity range of high-temperature liquid fluids.

[0096] (5) Use the above testing process to obtain a series of corresponding relationships between the accurate viscosity and the viscosity displayed by the testing device. This relationship can be a binary linear equation or a mathematical relationship of other forms.

[0097] Testing for temperature increase:

[0098] (1) Start the temperature increase program according to the operating procedure of the high-temperature furnace. Obtain the temperature according to the above.

[0099] (2) When the temperature exceeds a certain value (for example, after exceeding 500 °C), a protective gas can be introduced into the test area by an automatic gas mixing device. This protective gas can provide a reducing atmosphere. It can be composed of two or more of hydrogen, nitrogen, carbon monoxide, and carbon dioxide in a certain proportion. Generally, the proportion of hydrogen or carbon monoxide is between 10 - 60%, and the rest is one or two of nitrogen or carbon dioxide.

[0100] (3) After the temperature reaches the set temperature, sufficient samples are put into the container for testing samples in batches or at once.

[0101] (4) After the melt temperature stabilizes, enter the viscosity test process.

[0102] Viscosity test:

[0103] (1) The position points for viscosity testing (the relative position of the viscometer in the fluid) are the same as those in the viscosity calibration process.

[0104] (2) Using the three-dimensional platform mentioned above, gradually lower the test component (rotor) of the viscometer into the melt to be tested. When the viscometer starts to display a value, it is the starting point for the rotor to descend. From the starting point, lower it by a certain fixed value between 10 - 30 mm, and this value is the same as the value during viscosity calibration.

[0105] (3) Start testing from a temperature above 1700 °C. Referring to the above temperature calibration process, use the method of constant temperature - testing - cooling - constant temperature - testing... for testing, or use a method of cooling at a certain cooling rate for testing.

[0106] (4) When the viscosity exceeds a certain specified value, which can be 50 Pa·S, or 100 Pa·S, or 1000 Pa·S, stop the testing.

[0107] Data recording: The viscosity at different temperatures is recorded by an automatic recording device. The device outputs the values corresponding to the true melt temperature and the true melt viscosity according to the temperature calibration equation and viscosity calibration equation obtained previously. These values can be displayed in a table or in a graph with temperature as the abscissa and viscosity as the ordinate.

[0108] Cooling:

[0109] (1) After stopping the testing, the cooling process is controlled by a program. The cooling rate is generally selected between 5 - 15 °C / min.

[0110] (2) When the temperature is lower than a certain set value (for example, 800 °C), the gas mixing device stops introducing the protective gas into the test area.

[0111] Example 2: Please refer to Figure 1As shown in the figure, on the basis of Embodiment 1, it further includes:

[0112] Step 2: Conduct corresponding pre - analysis of the samples according to the experimental purpose information, extract the required sample information based on the experimental purpose information, identify the sample mixing ratio and the initial heating temperature for the required sample information; obtain the preset temperature pre - addition value, calculate the sum of the initial heating temperature and the temperature pre - addition value to get the pre - heating temperature, and synthesize the pre - heating temperature and the sample mixing ratio to obtain the experimental sample information. Analyze the experiment to obtain the heating state information, configure the samples according to the experimental sample information, and obtain the experimental samples according to the sample configuration. Conduct corresponding experiments on the experimental samples, collect the experimental temperature data of the experiment through sensors, and analyze the experimental temperature data to obtain the heating state information.

[0113] Analyze the experimental temperature data, and the specific analysis steps are as follows:

[0114] A1: Identify the sample state data, temperature monitoring data, and heating element data by analyzing the experimental temperature data, and extract the pre - heating temperature and the sample mixing ratio corresponding to the experimental sample information.

[0115] A2: Identify the sample image data and thermogravimetric data from the sample state data;

[0116] A21: Divide the sample into multiple sub - sample areas, obtain the corresponding particle content according to the sample image data of each sub - sample area, obtain the preset particle content threshold, compare the particle content of each sub - sample area with the particle content threshold. When the particle content is greater than the particle content threshold, calculate the particle influence value by subtracting the particle content threshold from the particle content, and calculate the sum of the particle influence values of each sub - sample area to obtain the total particle influence value.

[0117] A22: The thermogravimetric data includes mass data and heat data; obtain the chemical properties of each constituent element according to the sample mixing ratio, obtain the mass change value and heat absorption and release information when each sample is heated according to the chemical properties. When the sample melts, there will be a mass loss when the substance volatilizes and releases, and there are changes in heat absorption and release during heating and melting; calculate the difference between the current sample's mass data and the mass change value to obtain the mass difference; when the heat absorption and release information corresponds to absorption, obtain the standard absorption amount corresponding to the sample, and compare the sample's heat data with the standard absorption amount to obtain the heat absorption and release difference.

[0118] A23: Normalize and take the numerical values of the total particle influence value, the mass difference, and the heat absorption and release difference, according to the formula Obtain the sample status value ypt; where KL, TY, and sfj represent the total particle shadow value, mass difference value, and heat release and absorption heat difference value respectively; c1, c2, and c3 are all preset weight factors, and their values are 1.08, 0.99, and 1.24 respectively.

[0119] A3: Identify the temperature data to obtain the temperature value, maximum temperature value, and minimum temperature value;

[0120] A31: Obtain multiple temperature values, calculate the difference between each temperature value and the preheating temperature to obtain the temperature difference, sum up the temperature differences corresponding to the multiple temperature values and calculate the average value, and mark the value of the average as the temperature influence value.

[0121] A32: Calculate the difference between the maximum temperature value and the minimum temperature value to obtain the temperature range value, obtain the preset temperature fluctuation range, and perform an overlapping match between the temperature range value and the temperature fluctuation range. When the temperature range value is greater than the temperature fluctuation range, mark the part of the temperature range value that exceeds the temperature fluctuation range as the fluctuation influence value.

[0122] A33: Construct two circles with the values of the temperature influence value and the fluctuation influence value as the radii of the circles. Starting from the centers of the two circles as the starting point and the end point, draw a straight line perpendicular to each of the two circles respectively, set the value of the straight line as a fixed constant, and then construct a frustum of a cone with the two circles and the straight line. Calculate the volume of the frustum of the cone and mark the value of the volume as the temperature status value.

[0123] A4: Identify the heating element data to obtain the heating power and the element temperature;

[0124] A41: Obtain the preset power threshold for each heating element, compare the heating power of each heating element with the power threshold. When the heating power is greater than the power threshold, calculate the difference between the heating power and the power threshold to obtain the power overload value. Divide the power overload value into multiple overload value intervals, and each overload value interval corresponds to an overload influence value. Match the power overload value of each heating element with the multiple overload value intervals to obtain the corresponding overload influence value.

[0125] A42: Obtain the preset temperature reference value corresponding to each heating element, compare the element temperature of each heating element with the temperature reference value. When the element temperature is greater than the temperature reference value, calculate the difference between the element temperature and the temperature reference value, and mark the obtained difference as the heat dissipation anomaly value. Sum up the heat dissipation anomaly values of each heating element to obtain the total heat dissipation anomaly value.

[0126] A43: Construct a triangle with the values of the overload influence value and the total heat dissipation anomaly value as the two right sides of the right triangle, calculate the area of the right triangle and mark the value of the area as the element status value.

[0127] A5: Normalize the sample status value, temperature status value, and component status value, take their numerical values, and according to the formula obtain the heating status value jrt; where, wdt and yjt respectively represent the temperature status value and the component status value, and Δwdt and Δyjt respectively represent the allowable temperature status value and the allowable component status value; v1, v2, and v3 are all preset weight factors, with values of 0.32, 0.81, and 0.22 respectively; when the heating status value is greater than the set threshold, generate the corresponding heating status information as abnormal heating status.

[0128] Step 3: Analyze the viscosity measurement data to obtain the viscosity status information. When the heating status information corresponds to normal heating status, obtain the viscosity data through the sensor and analyze the viscosity data to obtain the viscosity status information.

[0129] Analyze the viscosity data, and the specific analysis steps are as follows:

[0130] S1: Identify the fluid flow data, rotation test data, and fluid composition data by analyzing the viscosity data;

[0131] S2: Identify the pressure value data and flow velocity measurement data from the fluid flow data;

[0132] S21: Calculate the pressure drop of the fluid based on Bernoulli's equation and the principles of fluid mechanics and according to the pressure data of the fluid in the channel, divide the pressure drop into multiple pressure drop intervals, each pressure drop interval corresponds to a pressure influence value, and match the current pressure drop of the fluid with the multiple pressure drop intervals to obtain the corresponding pressure influence value.

[0133] S22: Obtain the flow velocity reference value corresponding to the fluid velocity, and calculate the difference between the current flow velocity measurement data of the fluid and the flow velocity reference value to obtain the flow velocity difference.

[0134] S23: Normalize the pressure influence value and the flow velocity difference and take their numerical values, and according to the formula obtain the fluid status value LT; where YL and SL respectively represent the pressure influence value and the flow velocity difference; a1 and a2 are both preset weight factors, with values of 3.1 and 2.8 respectively.

[0135] S3: Identify the fluid torque value and the rotational component resistance value from the rotation test data;

[0136] S31: Divide the fluid torque values into multiple fluid torque intervals. Each fluid torque interval corresponds to a torque influence value. Match the fluid torque values of the current fluid corresponding to multiple unit times with the multiple fluid torque values to obtain the corresponding torque influence values. Calculate the average value of the torque influence values for each unit time and record the average value as the torque influence mean value.

[0137] S32: Obtain the resistance values of each rotating component based on the rotating component resistance values. Acquire the resistance reference line corresponding to the resistance value. Calculate the difference between the resistance value of each rotating component and the resistance reference line to obtain the resistance reference difference. Add up the resistance reference differences of each rotating component to obtain the total resistance difference.

[0138] S33: Construct an ellipse with the values of the torque influence mean value and the total resistance difference as the major axis and minor axis of the ellipse. Calculate the area of the ellipse and mark the numerical value of the area as the rotation state value.

[0139] S4: Divide the fluid components into viscous influence components and other components. When the component information corresponds to viscous influence components, obtain the proportion of each viscous influence component. Calculate the viscous component content based on the component proportion and the total fluid volume. Calculate the difference between the viscous component content corresponding to each viscous influence component and the set reference value to obtain the viscous influence amount. Add up the viscous influence amounts of each viscous influence component to obtain the total viscous influence amount.

[0140] S5: Construct a right trapezoid with the values of the fluid state value and the rotation state value as the upper base and lower base of the right trapezoid. The length of the right waist is equal to the total viscous influence amount. Then rotate the right trapezoid around the right waist as the rotation axis to obtain a frustum of a cone. Calculate the volume of the frustum of the cone and mark the numerical value of the volume as the viscosity state value. Divide the annual state value into multiple viscosity state value intervals. Each viscosity state value interval corresponds to a viscosity state information. Match the viscosity state value of the current fluid with the viscosity state value intervals to obtain the corresponding viscosity state information.

[0141] Step Four: Record according to the heating state information and the viscosity state information and generate an experimental report.

[0142] Step Five: Data storage and maintenance execution: When the experimental report is generated, turn off each sensor and generate a cooling control instruction. Identify the cooling state. When the temperature is lower than the pre-set safety threshold, generate the corresponding maintenance prompt information.

[0143] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for measuring the viscosity of a high-temperature liquid fluid, characterized in that, It includes the following steps: Step 1: Conduct corresponding pre - analysis of samples according to the experimental purpose information; Step 2: Configure samples according to the experimental sample information, obtain experimental samples based on the sample configuration, conduct corresponding experiments on the experimental samples, collect the experimental temperature data of the experiments through sensors, and analyze the experimental temperature data to obtain heating state information; The analysis of the experimental temperature data is as follows: A1: Identify sample state data, temperature monitoring data, and heating element data from the experimental temperature data, and extract the pre - heating temperature and sample mixing ratio corresponding to the experimental sample information; A2: Identify sample image data and thermogravimetric data from the sample state data; A21: Divide the sample into multiple sub - sample areas, obtain the corresponding particle content according to the sample image data of each sub - sample area, obtain a preset particle content threshold, compare the particle content of each sub - sample area with the particle content threshold, when the particle content is greater than the particle content threshold, calculate the particle influence value by subtracting the particle content threshold from the particle content, and calculate and sum the particle influence values of each sub - sample area to obtain the total particle influence value; A22: The thermogravimetric data includes mass data and heat data; obtain the chemical properties of each component element according to the sample mixing ratio, obtain the mass change value and heat absorption and release information when each sample is heated according to the chemical properties; calculate the difference between the current sample's mass data and the mass change value to obtain the mass difference; when the heat absorption and release information corresponds to absorption, obtain the standard absorption amount corresponding to the sample, and compare the sample's heat data with the standard absorption amount to obtain the heat absorption and release difference; A23: Normalize the total particle shadow value, mass difference value, and heat absorption and release difference value, take their numerical values, and according to the formula obtain the sample state value ypt; where KL, TY, and sfj respectively represent the total particle shadow value, mass difference value, and heat absorption and release difference value; c1, c2, and c3 are all preset weighting factors; A3: Identify the temperature value, temperature maximum value, and temperature minimum value from the temperature monitoring data; A31: Obtain multiple temperature values, calculate the difference between each temperature value and the pre - heating temperature to obtain the temperature difference, sum up the temperature differences corresponding to the multiple temperature values and calculate the average value, and mark the value of the average as the temperature influence value; A32: Calculate the difference between the temperature maximum value and the temperature minimum value to obtain the temperature range value, obtain a preset temperature fluctuation range, overlap and match the temperature range value with the temperature fluctuation range, when the temperature range value is greater than the temperature fluctuation range, mark the part of the temperature range value that exceeds the temperature fluctuation range as the fluctuation influence value; A33: Construct two circles with the values of the temperature influence value and the fluctuation influence value as the radii of the circles, take the centers of the two circles as the starting point and the ending point, draw a straight line perpendicular to the two circles respectively, set the value of the straight line as a fixed constant, then construct a frustum of a cone with the two circles and the straight line, calculate the volume of the frustum of the cone and mark the value of the volume as the temperature state value, denoted as wdt; A4: Identify the heating power and element temperature from the heating element data; A41: Obtain the pre-set power thresholds of each heating element, compare the heating power of each heating element with the power threshold. When the heating power is greater than the power threshold, calculate the difference between the heating power and the power threshold to obtain the power overload value. Divide the power overload value into multiple overload value intervals, and each overload value interval corresponds to an overload impact value. Match the power overload values of each heating element with the multiple overload value intervals to obtain the corresponding overload impact values; A42: Obtain the pre-set temperature reference values corresponding to each heating element, compare the element temperature of each heating element with the temperature reference value. When the element temperature is greater than the temperature reference value, calculate the difference between the element temperature and the temperature reference value, and mark the obtained difference as the heat dissipation anomaly value. Calculate the sum of the heat dissipation anomaly values of each heating element to obtain the total heat dissipation anomaly value; A43: Construct a triangle with the values of the overload impact value and the total heat dissipation anomaly value as the two right sides of a right triangle, calculate the area of the right triangle and mark the value of the area as the element status value, denoted as yjt; A5: Normalize the sample status value, temperature status value, and component status value, take their numerical values, and according to the formula obtain the heating status value jrt; where, Δwdt and Δyjt represent the allowable temperature status value and the allowable component status value respectively; v1, v2, and v3 are all preset weighting factors; when the heating status value is greater than the set threshold, generate the corresponding heating status information as heating status anomaly; Step 3: When the heating status information corresponds to normal heating status, obtain the viscosity data through the sensor and analyze the viscosity data to obtain the viscosity status information; The specific analysis steps for analyzing the viscosity data are as follows: S1: Identify the fluid flow data, rotation test data, and fluid composition data by analyzing the viscosity data; S2: Identify the pressure value data and flow velocity measurement data from the fluid flow data; S21: Calculate the pressure drop of the fluid based on Bernoulli's equation and the principles of fluid mechanics according to the pressure data of the fluid in the channel, divide the pressure drop into multiple pressure drop intervals, and each pressure drop interval corresponds to a pressure impact value. Match the pressure drop of the current fluid with the multiple pressure drop intervals to obtain the corresponding pressure impact value; S22: Obtain the flow velocity reference value corresponding to the fluid velocity, calculate the difference between the current fluid flow velocity measurement data and the flow velocity reference value to obtain the flow velocity difference; S23: Normalize the pressure influence value and the flow rate difference and take their numerical values, and according to the formula obtain the fluid state value LT; where YL and SL respectively represent the pressure influence value and the flow rate difference; a1 and a2 are both preset weighting factors; S3: Identify the fluid torque value and the rotating component resistance value from the rotation test data; S31: Divide the fluid torque value into multiple fluid torque intervals, and each fluid torque interval corresponds to a torque impact value. Match the fluid torque values of the current fluid corresponding to multiple unit times with the multiple fluid torque values to obtain the corresponding torque impact values. Calculate the average value of the torque impact values for each unit time and denote the average value as the torque impact mean value; S32: Obtain the resistance values of each rotating component based on the rotating component resistance value, obtain the resistance reference line corresponding to the resistance value, calculate the difference between the resistance value of each rotating component and the resistance reference line to obtain the resistance reference difference, and sum up the resistance reference differences of each rotating component to obtain the total resistance difference; S33: Construct an ellipse with the values of the torque impact mean value and the total resistance difference as the major axis and minor axis of the ellipse, calculate the area of the ellipse and mark the value of the area as the rotation status value; S4: Divide the fluid components into viscosity-influencing components and the remaining components. When the component information corresponds to viscosity-influencing components, obtain the proportion of each viscosity-influencing component, calculate the viscosity component content based on the component proportion and the total fluid volume, calculate the difference between the viscosity component content corresponding to each viscosity-influencing component and the set reference value to obtain the viscosity influence amount, and calculate the sum of the viscosity influence amounts of each viscosity-influencing component to obtain the total viscosity influence amount; S5: Construct a right trapezoid with the values of the fluid state value and the rotation state value as the upper base and the lower base of the right trapezoid. The length of the right waist is equal to the total viscosity influence amount. Then rotate the right trapezoid around the right waist as the rotation axis to obtain a frustum of a cone, calculate the volume of the frustum of the cone and mark the value of the volume as the viscosity state value; Divide the annual state value into multiple viscosity state value intervals, each viscosity state value interval corresponds to a viscosity state information, and match the current fluid's viscosity state value with the viscosity state value interval to obtain the corresponding viscosity state information; Step Four: Record according to the heating state information and the viscosity state information and generate an experimental report; Step Five: Execute data storage and maintenance.

2. The method for measuring the viscosity of a high-temperature liquid fluid according to claim 1, wherein The corresponding sample pre-analysis according to the experimental purpose information is specifically as follows: Extract the required sample information based on the experimental purpose information, identify the sample mixing ratio and the initial heating temperature from the required sample information; Obtain the preset pre-added temperature value, calculate the sum of the initial heating temperature and the pre-added temperature value to obtain the pre-heating temperature, and synthesize the pre-heating temperature and the sample mixing ratio to obtain the experimental sample information.

3. A method for measuring the viscosity of a high-temperature liquid fluid according to claim 1, characterized in that, The execution of data storage and maintenance is specifically as follows: Store the experimental report of the experiment, close each sensor when the experimental report is generated, and generate a cooling control instruction; Identify the cooling state, and generate the corresponding maintenance prompt information when the temperature is lower than the preset safety threshold.

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