Hardgrove grindability detection method and matched acquisition

Abstract

The invention discloses a Hardgrove grindability detection method and matched acquisition, relates to the technical field of Hardgrove grindability detection, and aims to solve the problems that data cannot be traced back, man-made interference is large and efficiency is low in existing Hardgrove grindability manual detection.According to the method, hardware equipment such as an electronic balance, a Hardgrove grindability tester, a PDA (Personal Digital Assistant), a computer and a code scanning gun are configured; according to the system, intelligent management of a whole detection process is realized by combining independently researched and developed detection software and data acquisition software, the accuracy and traceability of detection data are ensured by the system through technical means of blind code management, face recognition binding, automatic data acquisition and calculation, automatic data uploading and the like, and the detection efficiency is remarkably improved; the method is suitable for iron and steel enterprises and other scenes with strict requirements for Hardgrove grindability index detection of coal, and has wide application prospects and important practical value.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Hardgrove grindability detection, in particular to a Hardgrove grindability detection method and a matching collection. BACKGROUND

[0002] In the production process of steel enterprises, bituminous coal and anthracite, as important raw materials, have various varieties and huge consumption, and the quality of coal is directly related to the stability of production, the control of procurement cost, and the optimization of related equipment design. Among them, the Hardgrove grindability index of coal is the core index to measure the difficulty of grinding coal, and it plays an irreplaceable role in the processing and utilization of coal, equipment selection and production process optimization. In order to ensure the quality of production and improve the detection efficiency, the accuracy, timeliness and traceability of the detection results have become the key demand in the industry.

[0003] In the prior art, there are related researches on the determination method of Hardgrove grindability index, for example, the patent with the publication number CN117233021A "CDQ powder Hardgrove grindability index determination method", which mainly optimizes the determination process according to the characteristics of CDQ powder, but still relies on the traditional manual operation mode and does not solve the problems of automatic collection and traceability of detection data. At the same time, in the aspect of identity recognition and operation association, the patent with the publication number CN118840778A "a face recognition algorithm and an intelligent cap sticking based on face recognition and positioning detection" proposes the application idea of face recognition in the detection scene, mainly (face recognition positioning) and blind detection system (static web page), but does not combine biological recognition and blind code management for coal quality detection. At present, the industry generally adopts the Hardgrove method specified in the national standard GB / T2565-2014, and the detection process needs manual weighing data and searching for Hardgrove grindability index from the standard graph, and the detection results cannot be bound to the operator, which leads to the problem that the data cannot be traced and the risk of human interference is high.

[0004] In view of the above problems, the present application aims to solve the problems of untraceable Hardgrove manual detection data and reduce human interference, and realize automatic uploading of detection data, so as to effectively improve the standardization and reliability of the detection process. SUMMARY

[0005] The purpose of the present application is to make up for the shortcomings of the prior art, and provide a Hardgrove grindability detection method and matching collection, which integrates electronic balance, Hardgrove grindability tester, PDA, computer, code scanning gun and other hardware devices, develops computer end coal Hardgrove grindability detection and data collection software (communicates with electronic balance and code scanning gun) and PDA end face recognition and sample association software, constructs an automatic detection and data collection system, and can realize intelligent management of the whole process of coal sample detection: the sample information is associated by scanning the sample blind code with the code scanning gun, the detection personnel are bound by combining PDA face recognition, and the unique correspondence between personnel and samples is realized; the electronic balance weighing data is automatically collected by the detection software, the Hardgrove grindability index (HGI) is calculated by fitting a linear regression equation, manual table lookup and calculation are replaced, and human interference is reduced; the detection data is automatically recorded by the system and uploaded to the chemical test platform, so that the data cannot be modified and can be traced throughout the process, thereby solving the problems of untraceable and large human interference of manual Hardgrove grindability detection data, and improving the detection efficiency and accuracy.

[0006] The present application provides the following technical solutions to solve the above technical problems: a Hardgrove grindability detection method and matching collection, and the specific steps of the method are as follows:

[0007] S100, system construction: configure electronic balance, Hardgrove grindability tester, PDA, computer and code scanning gun, install Hardgrove grindability detection software and data collection software for coal on the computer, communicate with the electronic balance and code scanning gun, and install face recognition and sample association software on the PDA;

[0008] S200, equipment calibration:

[0009] S210, the Hardgrove grindability tester is controlled by the detection software to detect 4 Hardgrove grindability index standard substances in turn, and each standard substance is repeatedly measured 4 times;

[0010] S220, automatically collect 0.071mm undersize mass data after each measurement;

[0011] S230, calculate the arithmetic mean of the undersize mass of each standard substance 4 times;

[0012] S240, fit a linear regression equation based on the arithmetic mean of the 4 standard substances;

[0013] S300, blind code sample preparation: prepare 0.63mm-1.25mm coal samples and generate blind code labels, scan the blind code with the code scanning gun to input the system, weigh the coal sample mass m0 and calculate the sample rate, and if the sample rate is less than 45%, re-sample;

[0014] S400, detecting operation: the code gun scans the sample blind code, the PDA detects the personnel face recognition and binds the sample information, 50±0.01g coal sample is weighed and poured into the grinding bowl, the Hardgrove grindability tester is started to grind 60±0.25r, after the sieve shaking, the mass m1 of the 0.071mm sieve upper material and the mass m2 of the sieve lower material are weighed, the detection software automatically collects the weighing data and calculates the Hardgrove grindability index HGI based on the linear regression equation in step S200;

[0015] S500, data uploading: the detection software records the detection personnel identity, weighing data and HGI result, automatically associates the sample blind code and uploads to the detection platform.

[0016] Further, the step S220 of automatically collecting the sieve lower material mass data is realized by the following way:

[0017] S221, a new detection task is created in the detection software interface;

[0018] S222, the 0.071mm sieve lower material is weighed by using the electronic balance;

[0019] S223, after the electronic balance shows the stable number;

[0020] S224, the detection software automatically collects and records the current weighing data.

[0021] Further, the step S300 of calculating the sample yield is specifically:

[0022] The mass m1 of the coal sample in the size range of 0.63mm-1.25mm is weighed, and the percentage is calculated according to the formula m1 / m0*100%, wherein m0 is the total mass of the coal sample before crushing.

[0023] Further, the step S400 of face recognition operation is specifically:

[0024] The face image of the detection personnel is collected by the PDA, and is compared and verified with the pre-stored identity information;

[0025] After verification, the unique identity of the detection personnel is bound with the current scanned sample blind code.

[0026] Further, the step S400 of the sieve shaking operation includes:

[0027] S410, the protective sieve, the 0.071mm sieve and the sieve bottom disc are stacked from top to bottom;

[0028] S420, placed on the sieve shaker for 10 minutes;

[0029] S430, the coal powder on the surface of the 0.071mm sieve bottom is brushed to the sieve bottom disc by using the brush;

[0030] S440, vibrate the sieve again for 5 minutes;

[0031] S450, Repeat step S430;

[0032] S460, vibrate the sieve again for 5 minutes.

[0033] Furthermore, a detection system for the method includes:

[0034] Electronic balances are used to automatically transmit weighing data to testing software;

[0035] The Hastings grindability analyzer is used for grinding coal samples;

[0036] A barcode scanner is used to scan blind codes on samples.

[0037] The PDA has built-in facial recognition and sample association software to link testing personnel with samples;

[0038] The computer is equipped with built-in Hardgrove Grindability Detection (HGI) software and data acquisition software for coal, used to control equipment, collect data, calculate HGI, and upload results.

[0039] The communication module enables data interaction between the electronic balance, barcode scanner, and computer.

[0040] Furthermore, the detection software is configured as follows:

[0041] Receive sample blind codes sent by the barcode scanner;

[0042] Receive the face recognition results and the inspector ID sent by the PDA;

[0043] Real-time acquisition of weighing data from the electronic balance;

[0044] Perform a univariate linear regression equation fitting and HGI calculation, wherein the univariate linear regression equation is:

[0045]

[0046] In the formula, The Hardy Grindability Index of coal The arithmetic mean of the mass of material passing through a 0.071 mm sieve is calculated by repeatedly measuring each of the four Hardgrove Grindability Index standards four times, and then taking the mass of material passing through a 0.071 mm sieve from each measurement. These are the linear regression coefficients. For constant terms, and By comparing the known Hardy Grindability Index standard values ​​of four reference materials with the corresponding... The value was determined by least squares fitting.

[0047] The test data is locked and linked with the sample blind code and the tester ID, then uploaded to the testing platform.

[0048] Furthermore, the system also includes:

[0049] A vibrating screener is used to perform the vibrating screen operation in step S400.

[0050] A crusher is used to crush coal samples step by step to a particle size range of 0.63mm to 1.25mm. The step-by-step crushing is achieved by adjusting the crusher gap to crush only particles that do not pass through the 1.25mm sieve.

[0051] Furthermore, the data acquisition software is configured to: before uploading the test data to the testing platform, encrypt the data packet containing the sample blind code, the tester ID, the weighing data and the HGI result, add a unique timestamp, and transmit it through an encrypted communication module to ensure that the data is not tampered with during transmission and that the transmission time is traceable.

[0052] Furthermore, the detection software is configured to automatically verify, before calculating the HGI value, whether the absolute value of the difference between the sum of the amount of material on the 0.071mm sieve (m1) and the amount of material under the sieve (m2) and the amount of the weighed coal sample (50±0.01g) is ≤0.5g. If the absolute value of the difference is >0.5g, the software will automatically prompt an abnormality and require the detection operation to be repeated.

[0053] Compared with existing technologies, this method for detecting Hastelloy grindability and its associated data acquisition have the following advantages:

[0054] I. This invention introduces blind code management and facial recognition technology, combined with an automated testing and data acquisition system, to achieve a unique binding between testing personnel and samples, as well as the automatic collection, calculation, and uploading of testing data. This effectively solves the problems of untraceable data and significant human interference in the existing manual testing process for Hastelloy grindable samples. It not only ensures the accuracy and traceability of testing data, but also greatly reduces the interference of human factors on the testing results, and improves the standardization and reliability of the testing process.

[0055] Second, this invention achieves fully automated management of the entire process from sample preparation, grinding, and sieving to data calculation and uploading through the collaborative work of automated equipment and intelligent software. This significantly improves the efficiency and accuracy of Hastings Grindability Index testing, not only reducing the tediousness and errors of manual operation, but also greatly shortening the testing cycle. This allows the test results to be fed back to the production department more promptly, providing strong support for production optimization and cost control. At the same time, automated data processing also avoids human calculation errors, further improving the accuracy of the test results.

[0056] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from an examination of the following, or may be learned from the practice of the invention. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 This is a flowchart illustrating a Hastings grindability testing method and its associated data acquisition process.

[0059] Figure 2 This is a flowchart illustrating a method for detecting Hastings grindability and the associated data collection steps. Detailed Implementation

[0060] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0061] Example 1

[0062] This embodiment discloses a specific implementation method and supporting system for Hastelloy grindability testing, aiming to solve the problems of untraceable data, significant human interference, and low testing efficiency in existing manual Hastelloy grindability testing. Figure 2 As shown, this method constructs a testing system comprising an electronic balance, a Hardgrove grindability analyzer, a PDA, a computer, and a barcode scanner, combined with appropriate software, to achieve fully automated management of the entire process from equipment calibration, sample preparation, testing operations to data uploading. Through blind code management, facial recognition binding, automatic data acquisition and calculation, and automatic data uploading, the accuracy and traceability of the test data are ensured, and testing efficiency is improved. This method is suitable for scenarios such as steel enterprises that have strict requirements for the testing of the Hardgrove grindability index of coal.

[0063] The Hastelloy grindability testing system in this embodiment consists of two parts: hardware and software. The hardware includes an electronic balance, a Hastelloy grindability analyzer, a PDA, a computer, a barcode scanner, a vibrating sieve, a crusher, 0.071mm sieves, 0.63mm sieves, 1.25mm sieves, grinding bowls, grinding rings, and steel balls. The software includes Hastelloy grindability testing software and data acquisition software for coal installed on the computer, and facial recognition and sample association software installed on the PDA.

[0064] The electronic balance selected has an accuracy of 0.01g. Its function is to accurately weigh various mass data of the coal sample, including the mass of the standard substance undersize, various masses during coal sample preparation, and the mass of the oversize and undersize particles during the testing process. This accuracy was chosen because, in the Hardy Gross Grindability Index (HGI) test, the accuracy of the mass data directly affects the accuracy of the final HGI result, and an accuracy of 0.01g meets the accuracy requirements of the test. The electronic balance connects to the testing software on the computer via a communication interface, enabling automatic transmission of weighing data and avoiding errors that may occur during manual recording.

[0065] The Hardgrove Grinding Analyzer (HGI) is a core device for grinding coal samples, and its grinding speed and grinding force directly affect the grinding effect. In this embodiment, the analyzer needs to be able to precisely control the grinding speed at 60 ± 0.25 r, because the stability of the grinding speed is crucial to the degree of grinding of the coal sample. Excessive fluctuations in the speed will lead to inconsistent grinding effects of coal samples in different tests, thus affecting the repeatability and accuracy of the HGI results. The analyzer is connected to the detection software in the computer, which controls its start-up, stop, and speed operation.

[0066] The PDA is primarily used for facial recognition of testing personnel. Its built-in facial recognition and sample association software can capture facial images of testing personnel and compare them with pre-stored identity information in the system for verification. The use of facial recognition technology ensures the uniqueness and accuracy of testing personnel's identities, binding them to the tested samples and enabling traceability. The PDA interacts with the computer via a wireless network, transmitting the facial recognition results and the testing personnel's unique identifier to the computer's testing software.

[0067] The computer serves as the control and data processing center of the entire system. The installed Hastelloy grindability testing software is responsible for coordinating the work of all equipment, including creating testing tasks, controlling the operation of the Hastelloy grindability analyzer, collecting data from each device, performing data calculations (such as yield rate, HGI, etc.), recording test information, and uploading it to the testing platform. The data acquisition software is specifically designed to enable data interaction with devices such as electronic balances and barcode scanners, ensuring real-time data acquisition and accurate recording.

[0068] The barcode scanner is used to scan the blind code labels on samples and input the sample information into the system. Blind code labels are used to prevent sample information from being leaked or tampered with during the testing process. The barcode scanner connects to a computer via wired or wireless means, and the scanned blind code information is transmitted to the testing software in real time, enabling the association between sample information and testing data.

[0069] The vibrating screen is used to screen the ground coal sample. Its vibration frequency and amplitude are calibrated to ensure consistent screening results. In this embodiment, the vibrating time of the vibrating screen is strictly set according to the method requirements. This is because insufficient vibrating time will lead to incomplete separation of the undersize and oversize materials, while excessive vibrating time may cause unnecessary time waste and affect the detection efficiency.

[0070] The crusher is used to crush coal samples to the required particle size. By adjusting the crusher gap, only particles that do not pass through the 1.25mm sieve are crushed, avoiding over-crushing that would result in the coal sample not meeting the particle size requirements. 0.071mm, 0.63mm, and 1.25mm sieves are used to separate coal samples of different particle sizes. Their sieve aperture sizes strictly conform to relevant standards to ensure the accuracy of coal sample particle size classification. The grinding bowl, grinding ring, and steel balls are the grinding components of the Hastelloy grindability analyzer. Their materials and dimensions meet standard requirements to ensure stable grinding results for the coal samples.

[0071] The collaboration between the software is as follows: When testing is performed, the barcode scanner scans the blind code and transmits the information to the testing software on the computer; the PDA performs facial recognition and transmits the result to the testing software; the weighing data from the electronic balance is transmitted to the testing software through the data acquisition software; the testing software performs calculations and processing based on this data and uploads the results to the testing platform.

[0072] Equipment calibration is a crucial step in ensuring the accuracy of test results. By testing standard substances and processing data, a univariate linear regression equation is established for calculating HGI.

[0073] In this embodiment, four Hardgrove Grindability Index (HGI) reference materials were selected. This is because using multiple reference materials can cover a wider HGI range, making the fitted regression equation more representative and accurate, and enabling more accurate calculation of coal samples with different HGI values. Each reference material was measured four times. Multiple repeated measurements can reduce the impact of random errors on the results and improve the reliability of the arithmetic mean.

[0074] The specific calibration process is as follows:

[0075] First, create a new calibration test task in the testing software interface, specifying that this task is for equipment calibration. Then, process the first standard material according to the same grinding and sieving process as the coal sample to be tested: weigh a certain amount of the standard material coal sample (meeting the particle size requirements) and pour it into the grinding bowl, start the Hardgrove grindability tester to grind for 60±0.25r, and then vibrate and sieve the ground coal sample. The vibrating and sieving operation is carried out according to the vibrating and sieving process in step S400, that is, first vibrate and sieve for 10 minutes, brush off the coal powder at the bottom of the sieve and then vibrate and sieve for 5 minutes, then brush off the coal powder and then vibrate and sieve for 5 minutes.

[0076] After sieving, the amount of material passing through the 0.071mm sieve was weighed using an electronic balance. During weighing, once the electronic balance reading stabilized, a confirmation operation was performed on the detection software. The software automatically collected and recorded the current weighing data through communication with the electronic balance. This process was repeated four times for the standard substance, yielding four sets of data for the amount of material passing through the 0.071mm sieve.

[0077] Following the same method, the remaining three standard substances were tested in sequence, with each test repeated four times. The amount of material passing through the 0.071 mm sieve was recorded for each test.

[0078] For each standard substance, calculate the arithmetic mean of the amounts of substance that passed through four sieves. The formula for calculating the arithmetic mean is: ,in Let be the arithmetic mean of the i-th standard substance. to This represents the mass of the residue passing through the sieve in four determinations of the standard substance. Using the arithmetic mean can synthesize the results of multiple determinations and reduce the random error of a single determination.

[0079] Based on the arithmetic mean of four standard substances and their corresponding known standard values ​​of the Hastelloy grindability index Fitting a univariate linear regression equation .in, These are the linear regression coefficients. This is a constant term. and The least squares method is used to fit the data. The least squares method is a mathematical optimization technique that finds the best function match for the data by minimizing the sum of squared errors, so that the fitted regression equation is closest to the actual data relationship.

[0080] The calculation process of the least squares method is as follows: Suppose that for each standard substance, we have ,in This is the error term. The goal is to find... and , making The minimum can be obtained by taking the partial derivative of the objective function and setting it to zero. and The formula:

[0081]

[0082] in =4, which represents the quantity of standard substances. This is calculated using the formula above. and The value of is used to determine the univariate linear regression equation, which will be used for subsequent HGI calculations of the coal samples to be tested.

[0083] Blind code sample preparation is to ensure the confidentiality of the samples. The specific process is as follows:

[0084] First, the original coal sample is crushed to 6mm according to GB474 or GB / T19494.2. This is because 6mm is the baseline particle size for further crushing and screening; excessively large coal samples are not conducive to subsequent processing. A crusher is used for crushing, and the crusher's gap is adjusted to ensure that the particle size of the crushed coal sample meets the requirements.

[0085] Coal samples smaller than 6mm were reduced to approximately 1kg using a divider. Dividing the samples using a divider ensures representativeness and avoids deviations in test results due to sample inhomogeneity. The reduced coal samples were then air-dried according to the method specified in GB474. Air drying removes external moisture from the coal samples, stabilizing them and reducing the impact of moisture on sample quality and subsequent test results. After air drying, the mass m0 of the coal sample was measured (accurate to 1g). m0 represents the total mass of the coal sample before crushing.

[0086] Next, the coal samples are passed through a vibrating screen in batches, consisting of 1.25mm and 0.63mm sieves, with each batch weighing approximately 200g. Batch screening improves screening efficiency and accuracy, preventing incomplete screening due to excessive coal sample size. A step-by-step crushing method is employed, with the crusher gap continuously adjusted to ensure that only larger particles that have not passed through the 1.25mm sieve are crushed. This avoids over-crushing and ensures the accuracy of the particle size of the retained 0.63mm–1.25mm coal samples. This process of crushing and screening continues until all the coal samples pass through the 1.25mm sieve, retaining the 0.63mm–1.25mm coal samples and discarding the undersize material.

[0087] Next, open the Hastelloy grindability testing and acquisition software on your computer, click the "Add" button, and use a barcode scanner to scan the blind code label of the sample to be tested, entering the blind code information into the system. The blind code label is a randomly generated unique code that corresponds one-to-one with the sample information, but does not directly display sensitive information such as the sample's origin, thus enabling blind sample detection. Click the "W1" option in the software, weigh the coal sample mass m1 (accurate to 1g) with an electronic balance, and after the electronic balance reading stabilizes, press the "Enter" button on the keyboard. The system will automatically calculate the sample yield.

[0088] The formula for calculating the sample yield is: Where m1 is the mass of coal sample with a particle size range of 0.63mm to 1.25mm. The sampling yield is set to be no less than 45% because if the sampling yield is too low, it indicates that the particle size distribution of the coal sample does not meet the testing requirements, which may affect the effect of subsequent grinding and sieving, leading to inaccurate HGI results. If the sampling yield is less than 45%, the coal sample is discarded, and 1kg needs to be reduced from the 6mm coal sample and re-sampled according to the above sampling method until the sampling yield meets the standard. After the sampling yield meets the standard, the 0.63mm to 1.25mm coal sample is air-dried again according to the air-drying method specified in GB474 to achieve an air-dried state before subsequent testing.

[0089] The detection process is the core procedure for obtaining HGI from coal samples. The specific steps are as follows:

[0090] First, test run the Hardgrove Grinding Analyzer to check if the instrument is working properly and ensure it automatically stops after running at (60±0.25) rpm. The accuracy of the grinding speed has a significant impact on the degree of grinding of the coal sample. If the speed does not meet the requirements, it will lead to over- or under-grinding of the coal sample, thus affecting the HGI results. At the same time, check the sieve surface of the 0.071 mm sieve. If the sieve surface is loose, it should be replaced in time, as the condition of the sieve surface directly affects the accuracy of the sieving results.

[0091] Thoroughly clean the grinding bowl, grinding ring, and steel balls with a short-bristled brush to avoid residual coal dust affecting the test results. Distribute the steel balls as evenly as possible in the grooves of the grinding bowl to ensure the uniformity of coal sample grinding.

[0092] Coal samples ranging from 0.63mm to 1.25mm were thoroughly mixed and then divided into 120g portions using a divider. Dividing the coal samples using a divider ensures representativeness. The samples were then sieved for 5 minutes using a 0.63mm sieve on a vibrating screen to remove fine coal particles smaller than 0.63mm, as these particles can affect the accuracy of subsequent grinding and testing. Finally, two coal samples, each weighing at least 50g, were divided again using a divider for subsequent testing and repeat testing.

[0093] Use a barcode scanner to scan the blind code on the sample, associating the sample information with this testing task. Open the PDA and run the facial recognition and sample association software. The PDA captures the facial image of the testing personnel and compares it with pre-stored identity information for verification. Once verification is successful, the testing personnel's unique identifier is bound to the currently scanned sample blind code. This ensures a unique correspondence between the testing personnel and the sample, facilitating accountability.

[0094] Click the "W2" option on the testing software, weigh (50±0.01)g of coal sample m (accurate to 0.01g) after removing pulverized coal. After the weighing data stabilizes, press the "Enter" button on the keyboard, and the software will record the mass data. Weighing approximately 50g of coal sample is because this mass meets the standard requirements for the Hardy Grindability Index test, ensuring the consistency and comparability of the test results. Pour the coal sample evenly into the grinding bowl, level its surface, and use a short-bristled brush to sweep any coal sample that falls onto the steel ball or the raised part of the grinding bowl around the steel ball to ensure that the coal sample is fully ground. When the cross groove of the grinding ring is basically aligned with the direction of the crosshead at the lower end of the spindle, place the grinding ring into the grinding bowl.

[0095] Move the grinding bowl into the base of the Hastelloy grindability analyzer, aligning the cross groove of the grinding ring with the crosshead at the lower end of the spindle. Simultaneously, hang the grinding bowl on the bolts on both sides of the base and tighten them to ensure that the total vertical force is evenly applied to the eight steel balls. The uniformity of the total vertical force is an important condition for ensuring uniform grinding of the coal sample. Uneven force will lead to over- or under-grinding of the coal sample in certain areas.

[0096] Zero the counter of the measuring instrument, start the motor, and the instrument will automatically stop after running for (60±0.25) revolutions. After grinding, stack the protective sieve, 0.071mm sieve, and sieve base plate from top to bottom, remove the grinding bowl, and use a long-bristled brush to transfer the coal powder adhering to the grinding ring onto the protective sieve. Then, pour the ground coal sample along with the steel ball into the protective sieve, and carefully brush the coal powder adhering to the grinding bowl and steel ball onto the protective sieve. Then, use a long-bristled brush to transfer the coal powder adhering to the protective sieve into the 0.071mm sieve. Remove the protective sieve and put the steel ball back into the grinding bowl. These operations are all to ensure that all the ground coal sample enters the sieving process and avoids coal sample loss that could lead to detection errors.

[0097] Place the sieve cover over the 0.071mm sieve and place the sieve base on a vibrating screen for 10 minutes. Remove the sieve and use a short-bristled brush to brush the coal powder adhering to the bottom surface of the 0.071mm sieve into the sieve base. Place the sieve back on the vibrating screen and vibrate for 5 minutes. Brush the bottom surface of the sieve again, then vibrate for another 5 minutes and brush the bottom surface of the sieve again. Multiple vibrations and brushing are to ensure thorough separation of the material on and under the 0.071mm sieve, improving weighing accuracy.

[0098] Click the "HGI" option in the software and accurately weigh the coal sample m1 (on the 0.071mm sieve) and m2 (under the 0.071mm sieve) (accurate to 0.01g). The sum of the over- and under-sieve coal sample masses should not differ from the initial coal sample mass m by more than 0.5g. This is to check for excessive loss or contamination of the coal sample during grinding and sieving. If the difference is too large, it indicates a problem in the testing process, the test results are invalid, and the test should be repeated. After confirming that the data is correct, click the "Enter" button on the keyboard. The testing software will then automatically... The HGI is calculated dynamically, where The mass m2 of the 0.071mm sieve undersize material in this test (in actual calculations, for the coal sample to be tested, this is...). This is the mass of the coal sample passing through a 0.071mm sieve (m2). After verifying that everything is correct, click the "Send" button to complete this test.

[0099] After completing the HGI calculation, the testing software automatically records the testing personnel's identity information (obtained through PDA facial recognition), all weighing data (including m1, m2, m3, etc.), and the HGI result, and automatically associates this data with the sample blind code. The purpose of this association is to ensure that each test result can accurately correspond to the corresponding sample, thus achieving data traceability.

[0100] Then, the testing software automatically uploads the associated data to the testing platform via the network. The upload process uses encrypted transmission to ensure data security during transmission and prevent data tampering or leakage. The testing platform stores and manages the uploaded data, forming a complete testing record for subsequent querying, statistics, and analysis. Simultaneously, the testing software also retains a local backup of the data to further ensure data security and integrity.

[0101] During equipment calibration, standard substances must be tested periodically. If a significant deviation is found in the calibration equation, recalibration should be performed. Standard substances should be properly stored to prevent moisture, contamination, or other factors from affecting their properties.

[0102] In the blind code sample preparation stage, the reduction and sieving processes should be strictly operated according to standard procedures to ensure the representativeness and particle size accuracy of the coal samples. The sampling rate must be strictly controlled at 45% or higher; otherwise, samples should be prepared again to ensure the reliability of subsequent test results.

[0103] During the testing process, parameters such as grinding speed and vibrating sieve time must be strictly controlled within the specified range. Operators must be trained and proficient in the operating procedures to avoid testing errors caused by improper operation. During weighing, the electronic balance should be placed on a level and stable platform to avoid external interference, and data should only be recorded after the reading has stabilized.

[0104] During the data upload process, network connectivity and data transmission should be checked regularly to ensure timely and accurate data upload to the testing platform. Uploaded data should be periodically verified to ensure consistency between the data recorded by the software and the data received by the testing platform, preventing data loss or errors.

[0105] In summary, this embodiment details the implementation process of a Hastelloy grindability testing method and its supporting system. From system construction, equipment calibration, blind code sample preparation, testing operations to data uploading, each step has clear operating procedures and quality control requirements. By employing automated data acquisition and calculation, blind code management, and facial recognition technologies, it effectively solves the problems of untraceable data, significant human interference, and low efficiency in traditional manual testing.

[0106] This method ensures the accuracy and reliability of HGI results by precisely controlling parameters at each stage (such as grinding speed, sieving time, and weighing accuracy) and combining them with scientific calculation methods (such as univariate linear regression equations). Simultaneously, the automatic uploading and correlation of data enables full traceability of the testing process, improving the standardization and efficiency of the testing work.

[0107] The method and system of this embodiment are applicable to various scenarios that require the testing of the Hardgrove Grindability Index of coal, especially in fields such as steel enterprises where the accuracy and traceability of test data are highly demanding, and have significant practical application value.

[0108] Example 2

[0109] like Figure 1 As shown, this embodiment provides a Hastelloy grindability testing method and a corresponding data acquisition workflow. The specific steps of this workflow are as follows:

[0110] S100, System Initialization and Task Triggering

[0111] The testing personnel log into the testing software and create a new testing task;

[0112] The barcode scanner scans the blind code label on the sample and enters the sample's unique identifier into the detection software;

[0113] S200, Identity Binding and Security Verification

[0114] The PDA activates the facial recognition software to capture facial images of the inspectors;

[0115] The operator ID is generated after the identity is verified against the pre-stored identity database.

[0116] The detection software binds the sample blind code to the operator ID, generating an encrypted association record;

[0117] S300, Automated Detection and Execution

[0118] The detection software sends a command to the electronic balance, which automatically weighs (50±0.01)g of coal sample;

[0119] The coal sample was poured into the grinding bowl, and the detection software controlled the Hardgrove grindability analyzer to start, precisely grinding (60±0.25) revolutions;

[0120] The vibrating screen performs grading and vibrating screening according to the preset program:

[0121] Protective screen + 0.071mm screen + screen base plate stacked and vibrated for 10 minutes;

[0122] After brushing off the coal powder from the bottom of the sieve, vibrate the sieve for 5 minutes, and repeat the brushing action.

[0123] The final separation was completed by vibrating the sieve for 5 minutes.

[0124] The electronic balance automatically weighs the mass m1 of material on the 0.071mm sieve and the mass m2 of material under the sieve.

[0125] S400, Intelligent Computing and Data Verification

[0126] The detection software collects m1 and m2 data in real time and verifies that |(m1+m2)-50g|≤0.5g;

[0127] Call the pre-stored univariate linear regression equation (generated based on standard material calibration), and input m2 to calculate the HGI value;

[0128] Automatically associates sample blind code, operator ID, weighing data, and HGI results;

[0129] S500, Anti-tampering upload and closed-loop management

[0130] Lock the data packet and add a timestamp;

[0131] Uploaded to the testing platform via an encrypted communication module;

[0132] The platform returns a successful reception signal, and the detection software generates an electronic report.

[0133] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for detecting Hastelloy grindability, characterized in that, The specific steps of this method are as follows: S100 System Construction: Configure an electronic balance, Hardgrove grindability analyzer, PDA, computer and barcode scanner. Install Hardgrove grindability testing software and data acquisition software for coal on the computer, and connect it to the electronic balance and barcode scanner. Install face recognition and sample association software on the PDA. S200, Equipment Calibration: S210. The Hastelloy grindability tester is controlled by the detection software to test the four Hastelloy grindability index standard substances in sequence, and each standard substance is measured repeatedly 4 times. S220: Automatically collects the mass data of the material passing through the 0.071mm sieve after each measurement; S230. Calculate the arithmetic mean of the amount of material passing through four sieves for each standard substance; S240, A univariate linear regression equation was fitted based on the arithmetic mean of four standard substances; S300, Blind Code Sample Preparation: Prepare coal samples of 0.63mm to 1.25mm and generate blind code labels. Scan the blind code with a barcode scanner and enter it into the system. Weigh the coal sample mass m0 and calculate the sampling rate. If the sampling rate is <45%, prepare the sample again. S400, Testing Operation: The barcode scanner scans the sample blind code, the PDA performs facial recognition of the testing personnel and binds the sample information, weighs 50±0.01g of coal sample and pours it into the grinding bowl, starts the Hardgrove grindability tester and grinds for 60±0.25r, after sieving, weigh the amount of material on the 0.071mm sieve (m1) and the amount of material under the sieve (m2), the testing software automatically collects the weighing data and calculates the Hardgrove grindability index (HGI) based on the univariate linear regression equation in step S200; S500, Data Upload: The testing software records the identity of the testing personnel, weighing data and HGI results, automatically associates the sample blind code and uploads it to the testing platform.

2. The Hastelloy grindability testing method according to claim 1, characterized in that, The automatic collection of undersize material data in step S220 is achieved through the following methods: S221. Create a new detection task in the detection software interface; S222. Weigh the 0.071mm sieve material using an electronic balance; S223. Determine the result after the electronic balance reading stabilizes; S224. The detection software automatically collects and records the current weighing data.

3. The Hastelloy grindability testing method according to claim 1, characterized in that, The specific calculation of the sampling rate in step S300 is as follows: Weigh the coal sample with a particle size range of 0.63mm to 1.25mm, and calculate the percentage using the formula m1 / m0×100%, where m0 is the total mass of the coal sample before crushing.

4. The Hastelloy grindability testing method according to claim 1, characterized in that, The face recognition operation in step S400 is specifically as follows: The facial images of the inspectors are collected by a PDA and compared with the pre-stored identity information for verification. Once the verification is successful, the unique identifier of the testing personnel will be bound to the blind code of the currently scanned sample.

5. The Hastelloy grindability testing method according to claim 1, characterized in that, The vibrating screen operation in step S400 includes: S410. Stack the protective screen, 0.071mm screen and screen base plate from top to bottom. S420, place on a vibrating screen and vibrate for 10 minutes; S430: Use a brush to brush the 0.071mm coal powder off the bottom surface of the sieve to the sieve bottom plate; S440, vibrate the sieve again for 5 minutes; S450, Repeat step S430; S460, vibrate the sieve again for 5 minutes.

6. A Hastelloy abrasion testing system for implementing the Hastelloy abrasion testing method according to any one of claims 1-5, characterized in that, include: Electronic balances are used to automatically transmit weighing data to testing software; The Hastings grindability analyzer is used for grinding coal samples; A barcode scanner is used to scan blind codes on samples. The PDA has built-in facial recognition and sample association software to link testing personnel with samples; The computer is equipped with built-in Hardgrove Grindability Detection (HGI) software and data acquisition software for coal, used to control equipment, collect data, calculate HGI, and upload results. The communication module enables data interaction between the electronic balance, barcode scanner, and computer.

7. The Hastelloy grindability testing system according to claim 6, characterized in that, The detection software is configured as follows: Receive sample blind codes sent by the barcode scanner; Receive the face recognition results and the inspector ID sent by the PDA; Real-time acquisition of weighing data from the electronic balance; Perform a univariate linear regression equation fitting and HGI calculation, wherein the univariate linear regression equation is: ； In the formula, The Hardy Grindability Index of coal The arithmetic mean of the mass of material passing through a 0.071 mm sieve is calculated by repeatedly measuring each of the four Hardgrove Grindability Index standards four times, and then taking the mass of material passing through a 0.071 mm sieve from each measurement. These are the linear regression coefficients. For constant terms, and By comparing the known Hardy Grindability Index standard values ​​of four reference materials with the corresponding... The value was determined by least squares fitting. The test data is locked and linked with the sample blind code and the tester ID, then uploaded to the testing platform.

8. The Hastelloy grindability testing system according to claim 6, characterized in that, The system also includes: A vibrating screener is used to perform the vibrating screen operation in step S400. A crusher is used to crush coal samples step by step to a particle size range of 0.63mm to 1.25mm. The step-by-step crushing is achieved by adjusting the crusher gap to crush only particles that do not pass through the 1.25mm sieve.

9. The Hastelloy grindability testing system according to claim 6, characterized in that, The data acquisition software is configured to encrypt data packets containing sample blind codes, testing personnel IDs, weighing data, and HGI results before uploading the test data to the testing platform, add a unique timestamp, and transmit the data through an encrypted communication module.

10. The Hastelloy grindability testing system according to claim 6, characterized in that, The detection software is configured to automatically check whether the absolute value of the difference between the sum of the mass of material on the 0.071mm sieve (m1) and the mass of material under the sieve (m2) and the mass of the 50±0.01g coal sample weighed is ≤0.5g before calculating the HGI value. If the absolute value of the difference is >0.5g, the software will automatically prompt an abnormality and require the detection operation to be repeated.

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