Method for measuring viscosity of high-temperature liquid fluid

Abstract

The invention relates to the technical field of coal gasification, glass processing and ceramic processing, in particular to a method for measuring viscosity of high-temperature liquid fluid. The method comprises the following steps: performing corresponding sample pre-analysis on experimental target information to obtain experimental sample information, performing sample configuration according to the experimental sample information, obtaining an experimental sample according to the sample configuration, performing a corresponding experiment on the experimental sample, and collecting experimental temperature data of the experiment through a sensor. According to the method, the experimental temperature data is acquired, the heating state information is acquired by analyzing the experimental temperature data, and the viscosity state data is acquired by analyzing the viscosity data based on the heating state information, so that recording is performed according to the heating state information and the viscosity state information, and an experimental report is generated; and an experiment report is automatically generated, so that the influence of artificial accidental errors on an experiment result is avoided, and accurate expression of a test result is facilitated.

Description

Technical Field

[0001] The invention relates to the technical field of coal gasification glass processing and ceramic processing, and in particular to a method for measuring the viscosity of a high-temperature liquid fluid. Background Art

[0002] In many industrial fields and scientific research, it is of vital importance to understand the viscosity characteristics of high-temperature liquid fluids. Various minerals that are solid at room temperature will undergo a state change as the temperature continues to rise. When the temperature rises to a certain level, generally exceeding 1300°C, these minerals will gradually change from solid to liquid; at this time, the viscosity of the high-temperature liquid is usually expressed as dynamic viscosity, which can reflect the flow characteristics of the high-temperature fluid.

[0003] At present, there are two methods for testing the viscosity of coal ash: DL / T 660 Test method for high temperature viscosity characteristics of coal ash and GB / T 31424 Test method for viscosity determination of coal ash. The main test processes of the two methods are similar, and they specify a method for determining the viscosity of coal ash at high temperatures. They mainly rely on manual operation and have high requirements on the proficiency of the operators. During the test process, accidental manual errors have a greater impact on the experimental results, which is not conducive to the accurate expression of the test results. Summary of the invention

[0004] The present invention provides a method for measuring the viscosity of a high-temperature liquid fluid, which is used to solve the above-mentioned technical problem.

[0005] A first aspect of the present invention provides a method for measuring the viscosity of a high-temperature liquid fluid, comprising the following steps:

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

[0007] Step 2: Analyze the experiment to obtain heating status information, configure samples according to the experimental sample information, obtain experimental samples according to the sample configuration, conduct corresponding experiments on the experimental samples, collect experimental temperature data of the experiment through sensors, and analyze the experimental temperature data to obtain heating status information.

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

[0009] A1: The sample status data, temperature monitoring data and heating element data are obtained by identifying the experimental temperature data, and the preheating temperature and sample mixing ratio corresponding to the experimental sample information are extracted.

[0010] A2: Identify the sample state data to obtain sample image data and thermogravimetric data;

[0011] A21: Divide the sample into blocks to obtain multiple sub-sample areas, obtain the corresponding particle content according to the sample image data of each sub-sample area, obtain a pre-set particle content threshold, compare the particle content of each sub-sample area with the particle content threshold, and when the particle content is greater than the particle content threshold, subtract the particle content threshold from the particle content to obtain the particle influence value, and calculate and sum the particle influence values ​​of each sub-sample area to obtain the total particle influence value.

[0012] A22: Thermogravimetric data includes mass data and heat data; the chemical properties of each component element are obtained according to the sample mixing ratio, and the mass change value and heat collection and release information of each sample when heated are obtained according to the chemical properties. When the sample melts, the volatilization and release of the substance will be accompanied by mass loss, and there will be changes in heat absorption and release when heated and melted; the mass data of the current sample and the mass change value are subtracted to obtain the mass difference; when the heat collection and release information corresponds to absorption, the standard absorption amount corresponding to the sample is obtained, and the heat data of the sample is compared with the standard absorption amount to obtain the heat collection and release difference.

[0013] A23: Normalize the total particle value, mass difference and heat difference and take their values ​​according to the formula The sample state value ypt is obtained; wherein KL, TY and sfj represent the total particle shadow value, mass difference and heat release difference respectively; c1, c2 and c3 are preset weight factors, and their values ​​are 1.08, 0.99 and 1.24 respectively.

[0014] A3: Obtain the temperature value, maximum temperature and minimum temperature by identifying the temperature monitoring data;

[0015] A31: Obtain multiple temperature values ​​and calculate the difference between each temperature value and the preheating temperature to obtain a temperature difference value, add and sum the temperature differences corresponding to the multiple temperature values ​​and calculate an average value, and mark the 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 interval value, obtain the preset temperature fluctuation range, overlap and match the temperature interval value with the temperature fluctuation range, and when the temperature interval value is greater than the temperature fluctuation range, mark the portion of the temperature interval value that exceeds the temperature fluctuation range as the fluctuation influence value.

[0017] A33: Construct two circles with the temperature influence value and the fluctuation influence value as the radius of the circle. With the centers of the two circles as the starting point and the end 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 with the two circles and the straight line. Calculate the volume of the frustum and mark the volume value as the temperature state value.

[0018] A4: The heating power and element temperature are obtained by identifying the heating element data;

[0019] A41: Obtain a pre-set power threshold for each heating element, compare the heating power of each heating element with the power threshold, and when the heating power is greater than the power threshold, calculate the difference between the heating power and the power threshold to obtain a power overload value, divide the power overload value into multiple overload value intervals, each overload value interval corresponds to an overload impact value, and match the power overload value of each heating element with the multiple overload value intervals to obtain the corresponding overload impact value.

[0020] 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, and 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 abnormality value, calculate and sum the heat dissipation abnormality values ​​of each heating element to obtain the total heat dissipation abnormality value.

[0021] A43: Construct a triangle with the overload impact value and the total heat dissipation abnormality value as the two right-angled sides of the right triangle, calculate the area of ​​the right triangle and mark the area value as the component status value.

[0022] A5: Normalize the sample state value, temperature state value and component state value and take their values ​​according to the formula The heating state value jrt is obtained; wherein wdt and yjt represent the temperature state value and the component state value respectively, Δwdt and Δyjt represent the allowable temperature state value and the allowable component state value respectively; v1, v2 and v3 are preset weight factors, with values ​​of 0.32, 0.81 and 0.22 respectively; when the heating state value is greater than the set threshold, the corresponding heating state information generated is the heating state abnormality.

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

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

[0025] S1: Obtain fluid flow data, rotation test data and fluid composition data by identifying viscosity data;

[0026] S2: Identify the fluid flow data to obtain pressure value data and flow rate measurement data;

[0027] S21: Based on the Bernoulli equation and the principles of fluid mechanics and according to the pressure data of the fluid in the channel, the pressure drop of the fluid is calculated, and the pressure drop is divided into multiple pressure drop intervals. Each pressure drop interval corresponds to a pressure impact value. The pressure drop of the current fluid is matched with the multiple pressure drop intervals to obtain the corresponding pressure impact value.

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

[0029] S23: Normalize the pressure impact value and the flow rate difference and take their values ​​according to the formula The fluid state value LT is obtained; wherein YL and SL represent the pressure influence value and the flow velocity difference respectively; a1 and a2 are both preset weight factors, and the values ​​are 3.1 and 2.8 respectively.

[0030] S3: Identify the rotation test data to obtain the fluid torque value and the rotation component resistance value;

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

[0032] S32: Obtain the resistance value of each rotating component according to the resistance value of the rotating component, obtain the resistance baseline corresponding to the resistance value, calculate the difference between the resistance value of each rotating component and the resistance baseline to obtain the resistance baseline difference, and add up the resistance baseline differences of each rotating component to obtain the total resistance difference.

[0033] S33: constructing an ellipse with the values ​​of the torque influence mean and the total resistance difference as the major axis and the minor axis of the ellipse, calculating the area of ​​the ellipse and marking the value of the area as the rotation state value.

[0034] S4: Divide the fluid components into viscosity influencing components and other components. When the component information corresponds to the viscosity influencing component, obtain the proportion of each viscosity influencing component, obtain the viscosity component content according to the component proportion and the total amount of fluid, 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, calculate and sum the viscosity influence amount of each viscosity influencing component to obtain the total viscosity shadow amount.

[0035] S5: Construct a right-angled trapezoid with the fluid state value and the rotation state value as the upper and lower bases of the right-angled trapezoid. The length of the right-angled waist is equal to the total viscosity shadow. Then, the right-angled trapezoid is rotated with the right-angled waist as the rotation axis to obtain a truncated cone. The volume of the truncated cone is calculated and the volume value is marked as the viscosity state value. The annual state value is divided into multiple viscosity state value intervals, each viscosity state value interval corresponds to a viscosity state information, and the viscosity state value of the current fluid is matched with the viscosity state value interval to obtain the corresponding viscosity state information.

[0036] Step 4: Record the heating status information and viscosity status information and generate an experimental report.

[0037] Step 5: Data storage and maintenance execution, specifically: when the experimental 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] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0039] The present invention obtains experimental sample information by performing corresponding sample pre-analysis on experimental purpose information, and then configures samples according to the experimental sample information. When the sample is experimented, heating state information is obtained by analyzing experimental temperature data, and viscosity data is 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 experiment is mainly controlled by various control systems, and an experimental report is automatically generated to avoid the influence of accidental human errors on the experimental results, which is 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 briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.

[0041] Figure 1 The present invention is a flow chart of the method. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] For ease of understanding, the specific process of an embodiment of the present invention is 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 test, melt temperature calibration, test heating, viscosity test, data recording and cooling, as follows:

[0046] Pre-test preparation, including:

[0047] 1.1 Test Space Calibration

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

[0049] (2) Raise the temperature of the high-temperature furnace used in the test to 1750°C (temperature displayed on the equipment instrument) and keep the temperature constant for 30 minutes.

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

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

[0052] (5) When the temperature changes by more than a set value between 2 and 10°C, it is considered that the point has exceeded the constant temperature zone, and the point returns to the position of the previous constant temperature zone and continues to move in another direction.

[0053] (6) Follow the above steps until all the points of the constant temperature zone are found. At this point, the position of the constant temperature zone at 1750°C is obtained.

[0054] (7) Control the temperature of the high-temperature furnace to drop to a value between 20 and 60°C, for example, to 1730°C (temperature displayed 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 several times until the locations of all constant temperature zones between 1100°C and 1750°C are found.

[0056] 1.2 Temperature calibration

[0057] 1.2.1 Test area temperature calibration

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

[0059] Function: The actual 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) The standard thermocouple is installed on a three-dimensional platform that can record spatial coordinates and automatically move according to set values.

[0062] (2) Use a three-dimensional platform to place the top of the thermocouple into the center of the constant temperature zone and record the spatial coordinates at this time (generally expressed as three numbers: X, Y, and Z).

[0063] (3) Use automatic temperature recording equipment 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 5-30 minutes of constant temperature, record the temperature of the constant temperature zone and the temperature of the standard thermocouple.

[0065] (5) After the temperature drops by 5-50°C and the temperature is maintained constant for 5-30 minutes, record the temperature of the constant temperature zone and the temperature of the standard thermocouple.

[0066] (6) Repeat the above steps until the temperature reaches about 1100°C.

[0067] (7) The temperature automatic recording device will obtain the relationship points between the standard thermocouple temperature and the constant temperature zone temperature. The software can connect the points 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 actual 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 based on the above curve. The mathematical formula may also be in other forms.

[0068] Method 2: Temperature reduction calibration method

[0069] (1) Same as above;

[0070] (2) Same as above;

[0071] (3) Same as above;

[0072] (4) Same as above;

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

[0074] (6) During the temperature drop, the temperature automatic recording device records the relationship between the start time of temperature drop, the standard thermocouple temperature, and the constant temperature zone temperature. Generally, the relationship between the three can be recorded once every 1-60 seconds. Generally, the temperature drop ends when it reaches about 1100℃.

[0075] (7) Different cooling rate curves can be recorded according to the needs of testing different substances.

[0076] (8) The temperature automatic recording device will obtain the relationship points between the standard thermocouple temperature and the constant temperature zone temperature. The software can connect the points 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 actual 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 based on the above curve. The mathematical formula may also be in other forms.

[0077] Solution temperature calibration

[0078] Purpose: To obtain the true temperature of high temperature melt during testing using a standard thermocouple.

[0079] Function: The actual 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) The standard thermocouple is installed on a three-dimensional platform that can record spatial coordinates and automatically move according to set values.

[0082] (2) Place the sample to be tested once or several times into a special container, and place the special container in the center of the constant temperature zone.

[0083] (3) Heat the sample to about 1750°C (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 (usually expressed by three numbers X, Y, and Z).

[0084] (4) Starting from 1750℃ (the temperature displayed by the instrument), keep the temperature constant for 5-30 minutes, and then use the temperature automatic recording device to record the temperature displayed by the instrument and the actual temperature of the high-temperature solution (the temperature of the standard thermocouple). Then, reduce the temperature by 10-50℃, and then keep the temperature constant for 5-30 minutes to calibrate the temperature. And record it with the temperature automatic recording device.

[0085] (5) Repeat the above steps until 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 the points 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 actual temperature of the melt, X is the temperature of the constant temperature zone displayed by the instrument, and a, b, c are parameters obtained based on the above curve. The mathematical formula may also be in other forms.

[0087] Method 2: Cooling and RRR Reduction Method

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

[0089] 1.3 Viscosity calibration

[0090] Purpose: To use liquids with different exact viscosities to simulate the test conditions of high-temperature liquid fluids, and to use viscosity testing equipment to measure liquids with known exact viscosity. Using the exact viscosity value, calibrate the value displayed by the viscosity testing equipment, so as to obtain the exact viscosity of the high-temperature liquid fluid during the test.

[0091] method:

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

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

[0094] (3) According to the test method of the viscosity test 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 of known viscosity with different viscosities, and the viscosity range should cover the common viscosity range of high-temperature liquid fluids.

[0096] (5) Using the above test process, a series of corresponding relationships between accurate viscosities and the viscosity displayed by the test equipment are obtained. The relationship can be a linear equation of two variables or other forms of mathematical relationships.

[0097] Test heating:

[0098] (1) Start the heating procedure according to the high temperature furnace operation flow. Obtain the temperature as described above.

[0099] (2) When the temperature exceeds a certain value (for example, above 500°C), a protective gas can be introduced into the test area by an automatic gas mixing device. The 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) When the temperature reaches the set temperature, add enough sample into the container containing the test sample in batches or all at once.

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

[0102] Viscosity test:

[0103] (1) The viscosity test point (the relative position of the viscometer in the fluid) is consistent with the point in the viscosity calibration process.

[0104] (2) Using the three-dimensional platform mentioned above, gradually place the test part (rotor) of the viscometer into the melt to be tested. When the viscometer starts to display a value, it is the starting point of the rotor's descent. From the starting point, it descends to a fixed value between 10-30 mm, which is consistent with the value during viscosity calibration.

[0105] (3) Start the test from a temperature above 1700°C, refer to the temperature calibration process above, and adopt the method of constant temperature-test-cooling-constant temperature-test..., or adopt the method of cooling test at a certain cooling rate.

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

[0107] Data recording: The viscosity at different temperatures is recorded by an automatic recording device. The device outputs the corresponding value of the actual melt temperature and the actual melt viscosity according to the previously obtained temperature calibration equation and viscosity calibration equation. The value can be displayed in a table or on a picture with temperature as the horizontal axis and viscosity as the vertical axis.

[0108] Cooling:

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

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

[0111] Example 2: Please refer to Figure 1As shown, based on Example 1, it also includes:

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

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

[0114] A1: The sample status data, temperature monitoring data and heating element data are obtained by identifying the experimental temperature data, and the preheating temperature and sample mixing ratio corresponding to the experimental sample information are extracted.

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

[0116] A21: Divide the sample into blocks to obtain multiple sub-sample areas, obtain the corresponding particle content according to the sample image data of each sub-sample area, obtain a pre-set particle content threshold, compare the particle content of each sub-sample area with the particle content threshold, and when the particle content is greater than the particle content threshold, subtract the particle content threshold from the particle content to obtain the particle influence value, and calculate and sum the particle influence values ​​of each sub-sample area to obtain the total particle influence value.

[0117] A22: Thermogravimetric data includes mass data and heat data; the chemical properties of each component element are obtained according to the sample mixing ratio, and the mass change value and heat collection and release information of each sample when heated are obtained according to the chemical properties. When the sample melts, the volatilization and release of the substance will be accompanied by mass loss, and there will be changes in heat absorption and release when heated and melted; the mass data of the current sample and the mass change value are subtracted to obtain the mass difference; when the heat collection and release information corresponds to absorption, the standard absorption amount corresponding to the sample is obtained, and the heat data of the sample is compared with the standard absorption amount to obtain the heat collection and release difference.

[0118] A23: Normalize the total particle value, mass difference and heat difference and take their values ​​according to the formula The sample state value ypt is obtained; wherein KL, TY and sfj represent the total particle shadow value, mass difference and heat release difference respectively; c1, c2 and c3 are preset weight factors, and their values ​​are 1.08, 0.99 and 1.24 respectively.

[0119] A3: Obtain the temperature value, maximum temperature and minimum temperature by identifying the temperature monitoring data;

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

[0121] A32: Calculate the difference between the maximum temperature and the minimum temperature to obtain the temperature interval value, obtain the preset temperature fluctuation range, overlap and match the temperature interval value with the temperature fluctuation range, and when the temperature interval value is greater than the temperature fluctuation range, mark the portion of the temperature interval value that exceeds the temperature fluctuation range as the fluctuation influence value.

[0122] A33: Construct two circles with the temperature influence value and the fluctuation influence value as the radius of the circle. With the centers of the two circles as the starting point and the end 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 with the two circles and the straight line. Calculate the volume of the frustum and mark the volume value as the temperature state value.

[0123] A4: The heating power and element temperature are obtained by identifying the heating element data;

[0124] A41: Obtain a pre-set power threshold for each heating element, compare the heating power of each heating element with the power threshold, and when the heating power is greater than the power threshold, calculate the difference between the heating power and the power threshold to obtain a power overload value, divide the power overload value into multiple overload value intervals, each overload value interval corresponds to an overload impact value, and match the power overload value of each heating element with the multiple overload value intervals to obtain the corresponding overload impact 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, and 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 abnormality value, calculate and sum the heat dissipation abnormality values ​​of each heating element to obtain the total heat dissipation abnormality value.

[0126] A43: Construct a triangle with the overload impact value and the total heat dissipation abnormality value as the two right-angled sides of the right triangle, calculate the area of ​​the right triangle and mark the area value as the component status value.

[0127] A5: Normalize the sample state value, temperature state value and component state value and take their values ​​according to the formula The heating state value jrt is obtained; wherein wdt and yjt represent the temperature state value and the component state value respectively, Δwdt and Δyjt represent the allowable temperature state value and the allowable component state value respectively; v1, v2 and v3 are preset weight factors, with values ​​of 0.32, 0.81 and 0.22 respectively; when the heating state value is greater than the set threshold, the corresponding heating state information generated is the heating state abnormality.

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

[0129] The specific analysis steps for analyzing the viscosity data are as follows:

[0130] S1: Obtain fluid flow data, rotation test data and fluid composition data by identifying viscosity data;

[0131] S2: Identify the fluid flow data to obtain pressure value data and flow rate measurement data;

[0132] S21: Based on the Bernoulli equation and the principles of fluid mechanics and according to the pressure data of the fluid in the channel, the pressure drop of the fluid is calculated, and the pressure drop is divided into multiple pressure drop intervals. Each pressure drop interval corresponds to a pressure impact value. The pressure drop of the current fluid is matched with the multiple pressure drop intervals to obtain the corresponding pressure impact value.

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

[0134] S23: Normalize the pressure impact value and the flow rate difference and take their values ​​according to the formula The fluid state value LT is obtained; wherein YL and SL represent the pressure influence value and the flow velocity difference respectively; a1 and a2 are both preset weight factors, and the values ​​are 3.1 and 2.8 respectively.

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

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

[0137] S32: Obtain the resistance value of each rotating component according to the resistance value of the rotating component, obtain the resistance baseline corresponding to the resistance value, calculate the difference between the resistance value of each rotating component and the resistance baseline to obtain the resistance baseline difference, and add up the resistance baseline differences of each rotating component to obtain the total resistance difference.

[0138] S33: constructing an ellipse with the values ​​of the torque influence mean and the total resistance difference as the major axis and the minor axis of the ellipse, calculating the area of ​​the ellipse and marking the value of the area as the rotation state value.

[0139] S4: Divide the fluid components into viscosity influencing components and other components. When the component information corresponds to the viscosity influencing component, obtain the proportion of each viscosity influencing component, obtain the viscosity component content according to the component proportion and the total amount of fluid, 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, calculate and sum the viscosity influence amount of each viscosity influencing component to obtain the total viscosity shadow amount.

[0140] S5: Construct a right-angled trapezoid with the fluid state value and the rotation state value as the upper and lower bases of the right-angled trapezoid. The length of the right-angled waist is equal to the total viscosity shadow. Then, the right-angled trapezoid is rotated with the right-angled waist as the rotation axis to obtain a truncated cone. The volume of the truncated cone is calculated and the volume value is marked as the viscosity state value. The annual state value is divided into multiple viscosity state value intervals, each viscosity state value interval corresponds to a viscosity state information, and the viscosity state value of the current fluid is matched with the viscosity state value interval to obtain the corresponding viscosity state information.

[0141] Step 4: Record the heating status information and viscosity status information and generate an experimental report.

[0142] Step 5: Data storage and maintenance execution: After the experimental 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 preset 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 to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for measuring the viscosity of a high temperature liquid fluid, characterized in that: The steps include: Step 1: Perform corresponding sample pre-analysis according to the experimental purpose information; Step 2: Perform sample configuration according to the experimental sample information, obtain the experimental sample according to the sample configuration, perform corresponding experiments on the experimental sample, collect experimental temperature data of the experiment through the sensor, and analyze the experimental temperature data to obtain heating state information; Step 3: When the heating state information corresponds to a normal heating state, viscosity data is acquired through a sensor and the viscosity data is analyzed to obtain viscosity state information; Step 4: Record the heating status information and viscosity status information and generate an experimental report; Step 5: Data storage and maintenance execution.

2. A method for measuring the viscosity of a high temperature liquid fluid according to claim 1, characterized in that: The corresponding sample pre-analysis is performed according to the experimental purpose information, specifically: based on the experimental purpose information, the required sample information is extracted, and the required sample information is identified to obtain the sample mixing ratio and the initial heating temperature; a preset temperature pre-added value is obtained, the initial heating temperature and the temperature pre-added value are calculated and summed to obtain the preheating temperature, and the preheating temperature and the sample mixing ratio are combined 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 specific analysis steps for analyzing the experimental temperature data are as follows: A1: The sample status data, temperature monitoring data and heating element data are obtained by identifying the experimental temperature data, and the preheating temperature and sample mixing ratio corresponding to the experimental sample information are extracted. A2: Identify the sample state data to obtain sample image data and thermogravimetric data; A21: Divide the sample into blocks to obtain a plurality of 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, and when the particle content is greater than the particle content threshold, calculate the particle impact value by subtracting the particle content threshold from the particle content, and calculate and sum the particle impact values ​​of each sub-sample area to obtain a total particle impact value; A22: Thermogravimetric data includes mass data and heat data; the chemical properties of each component element are obtained according to the sample mixing ratio, and the mass change value and heat collection and release information of each sample when heated are obtained according to the chemical properties; the mass data of the current sample and the mass change value are calculated to obtain the mass difference; when the heat collection and release information corresponds to absorption, the standard absorption amount corresponding to the sample is obtained, and the heat data of the sample is compared with the standard absorption amount to obtain the heat collection and release difference; A23: Normalize the total particle value, mass difference and heat difference and take their values ​​according to the formula The sample state value ypt is obtained; wherein KL, TY and sfj represent the total particle value, mass difference and heat difference respectively; c1, c2 and c3 are all preset weight factors; A3: Obtain the temperature value, maximum temperature and minimum temperature by identifying the temperature monitoring data; A31: Obtain multiple temperature values ​​and calculate the difference between each temperature value and the preheating temperature to obtain a temperature difference value, add and sum the temperature differences corresponding to the multiple temperature values ​​and calculate an average value, and mark the value of the average value as a temperature influence value; A32: Calculate the difference between the maximum temperature and the minimum temperature to obtain the temperature interval value, obtain the preset temperature fluctuation range, and overlap and match the temperature interval value with the temperature fluctuation range. When the temperature interval value is greater than the temperature fluctuation range, mark the portion of the temperature interval value that exceeds the temperature fluctuation range as the fluctuation influence value. A33: Construct two circles with the values ​​of temperature influence value and fluctuation influence value as the radius of the circle, and use the centers of the two circles as the starting point and the end point, draw a straight line perpendicular to the two circles respectively, set the value of the straight line as a fixed constant, and then construct a truncated cone with the two circles and the straight line, calculate the volume of the truncated cone and mark the value of the volume as the temperature state value, which is recorded as wdt; A4: The heating power and element temperature are obtained by identifying the heating element data; A41: obtaining a preset power threshold of each heating element, comparing the heating power of each heating element with the power threshold, and when the heating power is greater than the power threshold, performing a difference calculation between the heating power and the power threshold to obtain a power overload value, dividing the power overload value into multiple overload value intervals, each overload value interval corresponding to an overload impact value, and matching the power overload value of each heating element with the multiple overload value intervals to obtain a corresponding overload impact value; A42: obtaining a preset temperature reference value corresponding to each heating element, comparing the element temperature of each heating element with the temperature reference value, and when the element temperature is greater than the temperature reference value, performing a difference calculation between the element temperature and the temperature reference value, and marking the obtained difference as a heat dissipation abnormality value, and calculating and summing the heat dissipation abnormality values ​​of each heating element to obtain a total heat dissipation abnormality value; A43: Construct a triangle with the values ​​of the overload impact value and the total value of the heat dissipation anomaly as the two right-angled sides of the right triangle, calculate the area of ​​the right triangle and mark the value of the area as the component status value, and record it as yjt; A5: Normalize the sample state value, temperature state value and component state value and take their values ​​according to the formula The heating state value jrt is obtained; wherein 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; when the heating state value is greater than the set threshold, the corresponding heating state information is generated as abnormal heating state.

4. A method for measuring the viscosity of a high temperature liquid fluid according to claim 1, characterized in that: The viscosity data is analyzed, and the specific analysis steps are as follows: S1: Obtain fluid flow data, rotation test data and fluid composition data by identifying viscosity data; S2: Identify the fluid flow data to obtain pressure value data and flow rate measurement data; S21: Based on the Bernoulli equation and the principle of fluid mechanics and according to the pressure data of the fluid in the channel, the pressure drop of the fluid is calculated, the pressure drop is divided into multiple pressure drop intervals, each pressure drop interval corresponds to a pressure impact value, and the pressure drop of the current fluid is matched with the multiple pressure drop intervals to obtain the corresponding pressure impact value; S22: Obtaining a flow velocity reference value corresponding to the fluid velocity, and performing a difference calculation between the flow velocity measurement data of the current fluid and the flow velocity reference value to obtain a flow velocity difference; S23: Normalize the pressure impact value and the flow rate difference and take their values ​​according to the formula The fluid state value LT is obtained; wherein YL and SL represent the pressure influence value and the flow velocity difference respectively; a1 and a2 are both preset weight factors; S3: Identify the rotation test data to obtain the fluid torque value and the rotation component resistance value; S31: dividing the fluid torque value into a plurality of fluid torque intervals, each fluid torque interval corresponding to a torque influence value, matching the fluid torque values ​​corresponding to a plurality of unit times of the current fluid with the plurality of fluid torque values ​​to obtain corresponding torque influence values, calculating and averaging the torque influence values ​​of each unit time, and recording the average value as the torque influence mean value; S32: Obtaining the resistance value of each rotating component according to the resistance value of the rotating component, obtaining the resistance baseline corresponding to the resistance value, calculating the difference between the resistance value of each rotating component and the resistance baseline to obtain the resistance baseline difference, and adding up the resistance baseline differences of each rotating component to obtain the total resistance difference; S33: constructing an ellipse with the values ​​of the torque influence mean and the total resistance difference as the major axis and the minor axis of the ellipse, calculating the area of ​​the ellipse and marking the value of the area as the rotation state value; S4: dividing the fluid components into viscosity-affecting components and other components, and when the component information corresponds to the viscosity-affecting components, obtaining the ratio of each viscosity-affecting component, obtaining the viscosity component content according to the component ratio and the total amount of the fluid, performing difference calculation between the viscosity component content corresponding to each viscosity-affecting component and the set reference value to obtain the viscosity-affecting amount, and calculating and summing the viscosity-affecting amounts of each viscosity-affecting component to obtain the total viscosity-affecting amount; S5: Construct a right-angled trapezoid with the fluid state value and the rotation state value as the upper and lower bases of the right-angled trapezoid. The length of the right-angled waist is equal to the total viscosity shadow. Then, the right-angled trapezoid is rotated with the right-angled waist as the rotation axis to obtain a truncated cone. The volume of the truncated cone is calculated and the volume value is marked as the viscosity state value. The annual state value is divided into multiple viscosity state value intervals, each viscosity state value interval corresponds to a viscosity state information, and the viscosity state value of the current fluid is matched with the viscosity state value interval to obtain the corresponding viscosity state information.

5. A method for measuring the viscosity of a high temperature liquid fluid according to claim 1, characterized in that: The data storage and maintenance execution are specifically as follows: storing the experimental report of the experiment, turning off each sensor after the experimental report is generated, and generating a cooling control instruction; identifying the cooling state, and generating corresponding maintenance prompt information when the temperature is lower than a preset safety threshold.

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