A comprehensive evaluation method and device for a cement raw meal grinding system
By using a comprehensive evaluation method that combines on-site data and engineer feedback with simulation models, the bias and instability issues in traditional evaluation methods have been resolved, resulting in a more accurate evaluation of cement raw material grinding systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU JIANENG HENGYE TECH CO LTD
- Filing Date
- 2023-03-20
- Publication Date
- 2026-05-12
AI Technical Summary
Existing traditional evaluation methods rely on engineers' experience, which leads to biases and instabilities in the assessment of cement raw material grinding systems, making it difficult to obtain accurate judgment results on the production system.
By acquiring historical data from the site, preliminary calculations and calibrations are performed. Combined with feedback from multiple engineers and simulation models, weighted summaries and statistics are conducted to form a comprehensive evaluation report.
It improves the credibility and stability of assessment results, reduces errors and limitations of personal judgment, and is better able to cope with special situations.
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Figure CN116307388B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of pipeline repair technology, and more specifically, to a comprehensive evaluation method and apparatus for cement raw material grinding systems. Background Technology
[0002] Existing traditional evaluation methods rely solely on engineers' experience to analyze on-site data or perform simple calibrations, which inevitably contain some degree of bias. This is because different engineers may have different perspectives on the same problem, and various parameters inherently fluctuate during system operation. Operators also make continuous adjustments based on system conditions, and material conditions change at different times, making it difficult to obtain accurate judgments about the current production system. Summary of the Invention
[0003] The purpose of this invention is to provide a comprehensive evaluation method, apparatus, equipment, and readable storage medium for cement raw material grinding systems, so as to improve the above-mentioned technical problems.
[0004] To achieve the above objectives, the embodiments of this application provide the following technical solutions:
[0005] On one hand, this application provides a comprehensive evaluation method for a cement raw material grinding system. The method includes: acquiring historical field data, including control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period; performing preliminary calculations on the historical field data to obtain preliminary calculation data, which is recorded as first evaluation reference data and sent to multiple engineer terminals, so that multiple engineers can obtain a system status judgment conclusion by comparing the preliminary calculation data with statistical data provided by the plant; receiving the system status judgment conclusions fed back by each engineer terminal, and obtaining key calibration content based on the multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan, and the gas composition of the high-temperature fan; the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, and the gas composition of the mill inlet pipe; the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, and the gas composition of the circulating air duct; the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, and the pressure of the cyclone outlet manifold; and the cyclone... The system measures the dust concentration at the cyclone outlet manifold, the gas composition at the cyclone outlet manifold, the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan, and the gas composition of the circulating fan. Based on the key calibration content, the location, number, and method of the openings are determined, and calibration monitoring devices are installed at corresponding locations in the equipment system according to the opening locations, number, and methods. Calibration data fed back from multiple calibration monitoring devices at different time periods are acquired and averaged to obtain calibration result data. The calibration result data is then integrated and extracted to obtain second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the ring wind speed of the mill inlet pipe and nozzle, the air leakage data of each pipeline, the cyclone separation efficiency, and the unit consumption of the main equipment. A simulation model of the system is constructed according to the system structure, and the initial parameters of the simulation model are set according to the calibration result data. After a preset simulation time, simulation data is obtained and recorded as the third evaluation reference data. The first evaluation reference data, the second evaluation reference data, and the third evaluation reference data are weighted, summarized, and statistically analyzed, and combined with preset judgment criteria to obtain the current system evaluation report.
[0006] Optionally, the preliminary calculation of the on-site historical data includes:
[0007] Calculate the wind speed at multiple key nodes, including the wind speed at the vertical mill inlet pipe, the wind speed at the nozzle ring, and the wind speed at the circulating air duct.
[0008] Calculate the resistance of several key equipment components, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator, and the resistance of the bag dust collector.
[0009] Calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume and unit consumption of high-temperature fans, circulating fans, tail exhaust fans, vertical mill main motor, and classifier.
[0010] Optionally, the preset judgment criteria are as follows: the negative pressure at the mill inlet is less than 1000Pa, the inlet wind speed is less than 17m / s, the circulating air volume is greater than 1 / 4 of the total air volume of the system, the mill pressure difference in the vertical mill system is less than 7000Pa, the nozzle ring wind speed is 40-60m / s, the cyclone pressure loss is less than 1500Pa, the separation efficiency is greater than 92%, the mill step-by-step unit consumption should be less than 6 kWh / ton of raw material, the circulating fan step-by-step unit consumption should be less than 5 kWh / ton of raw material, and the increase in oxygen content due to air leakage in the whole grinding system is less than 3%.
[0011] Optionally, the weight ratio of the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data is 1:6:3.
[0012] Secondly, embodiments of this application provide a comprehensive evaluation device for a cement raw material grinding system, the device comprising:
[0013] The first acquisition module is used to acquire on-site historical data, which includes control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period.
[0014] The first calculation module is used to perform preliminary calculations on the on-site historical data to obtain preliminary calculation data, which is recorded as the first evaluation reference data and sent to multiple engineer terminals so that multiple engineers can obtain a system status judgment conclusion by comparing the preliminary calculation data with the statistical data provided by the manufacturer.
[0015] The second calculation module is used to receive the system status judgment conclusions fed back by each engineer terminal, and to obtain key calibration content based on multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan and the gas composition of the high-temperature fan, the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, the gas composition of the mill inlet pipe, the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, the gas composition of the circulating air duct, the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, the pressure of the cyclone outlet manifold, the dust concentration of the cyclone outlet manifold, the gas composition of the cyclone outlet manifold, the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan and the gas composition of the circulating fan.
[0016] The third calculation module is used to determine the opening location, number of openings and opening method according to the key calibration content, and to set up calibration monitoring equipment at the corresponding position in the equipment system according to the opening location, the number of openings and the opening method;
[0017] The second acquisition module is used to acquire calibration data fed back by multiple calibration monitoring devices at different time periods, and to perform averaging on the data to obtain calibration result data.
[0018] An integration module is used to integrate and extract the calibration result data to obtain second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the ring wind speed of the mill inlet pipe and nozzle, the air leakage data of each pipeline, the cyclone separation efficiency, and the unit consumption of the main equipment.
[0019] The simulation module is used to construct a simulation model of the system based on the system structure, set the initial parameters of the simulation model based on the calibration result data, and obtain simulation data after a preset simulation time, which is recorded as the third evaluation reference data.
[0020] The weighting module performs weighted summaries and statistical analysis on the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data, and combines this with preset judgment criteria to obtain the current system's evaluation report.
[0021] Optionally, the first computing module includes:
[0022] The first calculation unit is used to calculate the wind speed of multiple important nodes, including the wind speed of the vertical mill inlet pipe, the wind speed of the nozzle ring, and the wind speed of the circulating air duct.
[0023] The second calculation unit is used to calculate the resistance of multiple key equipment, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator, and the resistance of the bag dust collector.
[0024] The third calculation unit is used to calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume and unit consumption of high-temperature fans, circulating fans, tail exhaust fans, vertical mill main motor, and classifier.
[0025] Thirdly, embodiments of this application provide a comprehensive evaluation device for a cement raw material grinding system, the device including a memory and a processor.
[0026] The memory is used to store computer programs; the processor is used to execute the computer programs to implement the steps of the above-mentioned comprehensive evaluation method for cement raw material grinding systems.
[0027] Fourthly, embodiments of this application provide a medium on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the above-described comprehensive evaluation method for cement raw material grinding systems.
[0028] The beneficial effects of this invention are as follows:
[0029] The comprehensive evaluation of a cement raw material grinding system provided by this invention offers several advantages over traditional methods that rely solely on engineers' experience to analyze on-site data or perform simple calibration. Firstly, it boasts lower error and higher stability. The technical solution disclosed in this application employs various methods to reduce errors and instability, such as averaging data collected over different time periods, using open-hole sampling techniques during calibration, and weighted analysis of results during the final evaluation. These methods all contribute to lower error and improved reliability. Secondly, it effectively reduces the limitations of individual judgment. This solution requires coordinating opinions from all parties during initial communication and subsequent summarization to avoid the limitations of individual judgment. Thirdly, it better addresses special situations. The technical solution of this application involves multiple independent steps; even if one step malfunctions for some reason, the result remains reliable after weighted balancing. Furthermore, simulation can be used to address problems that cannot be solved by general measurement methods.
[0030] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description
[0031] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0032] Figure 1 This is a schematic diagram of the process for a comprehensive evaluation method of a cement raw material grinding system as described in an embodiment of the present invention;
[0033] Figure 2 This is a schematic diagram of the structure of a comprehensive evaluation device for a cement raw material grinding system as described in an embodiment of the present invention;
[0034] Figure 3 This is a schematic diagram of the structure of a comprehensive evaluation device for a cement raw material grinding system as described in an embodiment of the present invention. Detailed Implementation
[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.
[0036] It should be noted that similar reference numerals or letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0037] Before providing examples, a brief description of the distribution of data acquisition devices and power equipment is necessary. A fixed number of test samples are randomly selected from power equipment within a given area, and corresponding data acquisition devices are set on these samples to enable real-time detection of the equipment. Secondly, the specific types of power equipment to be monitored must be the same, such as transformers, cables, and substations. This embodiment will use high-voltage transformers as the subject of this description. Other power equipment can be identified based on the relevant principles disclosed in the embodiment to achieve the same partial discharge type identification, which will not be elaborated upon in this specification.
[0038] Example 1
[0039] like Figure 1 As shown, this embodiment provides a comprehensive evaluation method for a cement raw material grinding system, the method including steps S1, S2, S3, S4, S5, S6, S7 and S8.
[0040] Step S1. Obtain on-site historical data, which includes control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period;
[0041] Step S2. Perform preliminary calculations on the historical data at the site to obtain preliminary calculation data, which is recorded as the first evaluation reference data and sent to multiple engineer terminals so that multiple engineers can obtain a system status judgment conclusion by comparing the preliminary calculation data with the statistical data provided by the manufacturer.
[0042] Step S3. Accept the system status judgment conclusions fed back by each engineer terminal, and obtain key calibration content based on multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan and the gas composition of the high-temperature fan, the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, the gas composition of the mill inlet pipe, the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, the gas composition of the circulating air duct, the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, the pressure of the cyclone outlet manifold, the dust concentration of the cyclone outlet manifold, the gas composition of the cyclone outlet manifold, the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan and the gas composition of the circulating fan.
[0043] Step 4. Determine the opening location, number of openings, and opening method according to the key calibration content, and set up calibration monitoring equipment at the corresponding location in the equipment system according to the opening location, the number of openings, and the opening method;
[0044] Step S5. Obtain calibration data fed back by multiple calibration monitoring devices at different time periods, and average them to obtain calibration result data;
[0045] Step S6. Integrate and extract the calibration result data to obtain the second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the wind speed of the mill inlet pipe and nozzle ring, the air leakage data of each pipeline, the cyclone separation efficiency and the unit consumption of the main equipment.
[0046] Step S7. Construct a simulation model of the system based on the system structure, set the initial parameters of the simulation model based on the calibration result data, and obtain simulation data after a preset simulation time, which is recorded as the third evaluation reference data;
[0047] Step S8. The first evaluation reference data, the second evaluation reference data, and the third evaluation reference data are weighted, summarized, and statistically analyzed in combination with preset judgment criteria to obtain the current system evaluation report. Preferably, the weight ratio of the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data is 1:6:3. The historical data analysis results have the lowest weight considering their historical variability and the accuracy of the on-site data. The on-site calibration is close to the actual situation and has the highest weight. The simulation calculation is the next most important factor. The judgment content mainly includes: whether the power consumption of each major device in the system is too high, whether the system air volume is sufficient, whether the system air leakage meets the requirements, and whether the cyclone performance meets the standards, etc.
[0048] The preset judgment criteria are as follows: the negative pressure at the mill inlet is less than 1000Pa, the inlet wind speed is less than 17m / s, the circulating air volume is greater than 1 / 4 of the total air volume of the system, the mill pressure difference in the vertical mill system is less than 7000Pa, the nozzle ring wind speed is 40-60m / s, the cyclone pressure loss is less than 1500Pa, the separation efficiency is greater than 92%, the mill step-by-step consumption should be less than 6 kWh / ton of raw material, the circulating fan step-by-step consumption should be less than 5 kWh / ton of raw material, and the increase in oxygen content due to air leakage in the whole grinding system is less than 3%.
[0049] In this embodiment, the computer acquires the temperature data of the pipe to be repaired over a past period to understand the temperature rise trend of the pipe under the heating of the female mold head. Based on this trend, it predicts the temperature over a future period and controls the heating duration of the female mold head. Simultaneously, it also predicts the heating start time of the male mold head based on the predicted trend, ensuring that the repair material on the male mold head reaches the repair melting point temperature before the pipe area to be repaired reaches the repair melting point temperature. This allows the pipe to be repaired as soon as the repair temperature is reached. Throughout the repair process, the computer controls the heating duration of both the female and male mold heads, avoiding human intervention and effectively reducing the experience required for heating duration operation for repair workers, thus lowering the entry barrier to the profession.
[0050] Compared to traditional methods that rely solely on engineers' experience to analyze on-site data or perform simple calibration, the comprehensive evaluation of a cement raw material grinding system provided in this embodiment offers several advantages. First, it boasts lower error and higher stability. The technical solution disclosed in this application employs various methods to reduce errors and instability, such as averaging data collected over different time periods, using open-hole sampling techniques during calibration, and weighted analysis of results during the final evaluation. These methods all contribute to lower error and improve the reliability of the results. Second, it effectively reduces the limitations of individual judgment. This solution requires the coordination of opinions from all parties during initial communication and subsequent summarization, avoiding the limitations of individual judgment. Third, it better addresses special situations. The technical solution of this application involves multiple independent steps. Even if one step malfunctions for some reason, the result still maintains a certain degree of reliability after weighted balancing. For problems that cannot be solved by general measurement, simulation can still be used to address them.
[0051] In step S2, the specific steps for performing preliminary calculations on the on-site historical data are as follows:
[0052] Calculate the wind speed at multiple key nodes, including the wind speed at the vertical mill inlet pipe, the wind speed at the nozzle ring, and the wind speed at the circulating air duct.
[0053] Calculate the resistance of several key equipment components, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator, and the resistance of the bag dust collector.
[0054] Calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume and unit consumption of high-temperature fans, circulating fans, tail exhaust fans, vertical mill main motor, and classifier.
[0055] Example 2
[0056] This embodiment provides an experimental case based on the comprehensive evaluation method of the cement raw meal grinding system described in Embodiment 1: The example comes from a cement plant raw meal mill renovation project. Before the renovation, it is necessary to better understand the system status and identify system problems in order to provide technical support for subsequent renovations.
[0057] Preliminary Data and Analysis: We selected historical data from the plant over the past 3 to 10 months and calculated parameters such as power consumption and resistance for each key piece of equipment based on the data. Averaging multiple data points improves the reliability of the data. At the same time, selecting a longer time span allows us to understand the changes in the system status during that period. We found that the system resistance gradually increased, from an initial 9200Pa to approximately 11100Pa. The system output also showed a significant downward trend, decreasing from an initial 440-460t / h to 400-430t / h. Other parameters also deteriorated to varying degrees.
[0058] Preliminary Discussion: Based on the above calculations, the increase in resistance significantly reduces output. Inquiries with the manufacturer revealed that modifications were made to the system between June and July, including the addition of environmental treatment equipment, which increased the overall resistance. Excluding periods of significant change, the remaining gradual, small increases in resistance are attributed to factors such as dust accumulation in the system. The current circulating fan is already operating at maximum capacity. For centrifugal fans, for the same power output, higher system resistance results in lower airflow; the amount of dust a unit of airflow can carry is limited, so lower airflow leads to lower system output. Preliminary discussion suggests that to achieve or even exceed previous output levels, the system resistance needs to be reduced and the system airflow increased. Subsequent calibration should focus on both resistance and airflow.
[0059] On-site calibration: The orifice locations were confirmed with the manufacturer beforehand. During on-site data measurement, system stability was ensured, and measurements at the same points were repeated at different times to minimize errors. After measurement, the data was compared with the initial data. Except for the mill inlet temperature, there were no significant discrepancies. Currently, there are two inlet pipes to the mill, but only one inlet temperature was measured on-site at the manifold. The temperatures of the two branch pipes entering the mill were calibrated on-site, revealing a temperature difference of approximately 60℃, a significant discrepancy requiring further verification.
[0060] After summarizing the above results, we identified a specific problem, proposed a hypothesis and solution, and conducted simulation verification: The large temperature difference between the two grinding tubes was likely caused by airflow deviation in the upstream pipeline. After reviewing the drawings, we modeled this section and the upstream pipeline, and obtained the internal flow field through simulation. We found that the airflow deviation was indeed caused by the circulating air duct being too close to the flow splitter. Moving the circulating air duct away from the flow splitter can reduce the airflow deviation effect and lower the temperature difference entering the mill.
[0061] In summary, the proposed solution is as follows: Based on the comprehensive analysis of the above data and results (with weighted values primarily based on the calibration parameters), one additional inlet pipe will be added to the mill feed line. Simultaneously, the shape of the branch pipe will be optimized to reduce resistance. The cyclone separator will be optimized to reduce resistance. Additional circulating air duct fittings will be added to further reduce resistance and increase circulating air volume. Regarding the issue of misaligned airflow into the mill feed line, due to its minor impact and budget constraints, no changes will be made after consultation with the manufacturer.
[0062] After improvement: the output reached the initial output of 460t / h, the system resistance decreased to about 10000Pa, and other parameters were significantly improved.
[0063] Example 3
[0064] This embodiment provides a comprehensive evaluation device for a cement raw material grinding system, the device comprising:
[0065] The first acquisition module 71 is used to acquire on-site historical data, which includes control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period.
[0066] The first calculation module 72 is used to perform preliminary calculations on the on-site historical data to obtain preliminary calculation data, which is recorded as the first evaluation reference data and sent to multiple engineer terminals so that multiple engineers can obtain a system status judgment conclusion by comparing the preliminary calculation data with the statistical data provided by the manufacturer.
[0067] The second calculation module 73 is used to receive the system status judgment conclusions fed back by each engineer terminal, and to obtain key calibration content based on multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan and the gas composition of the high-temperature fan, the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, the gas composition of the mill inlet pipe, the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, the gas composition of the circulating air duct, the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, the pressure of the cyclone outlet manifold, the dust concentration of the cyclone outlet manifold, the gas composition of the cyclone outlet manifold, the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan and the gas composition of the circulating fan.
[0068] The third calculation module 74 is used to determine the opening location, number of openings and opening method according to the key calibration content, and to set up calibration monitoring equipment at the corresponding position in the equipment system according to the opening location, the number of openings and the opening method.
[0069] The second acquisition module 75 is used to acquire calibration data fed back by multiple calibration monitoring devices at different time periods, and to perform average processing on the data to obtain calibration result data.
[0070] The integration module 76 is used to integrate and extract the calibration result data to obtain the second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the wind speed of the mill inlet pipe and nozzle ring, the air leakage data of each pipeline, the cyclone separation efficiency and the unit consumption of the main equipment.
[0071] The simulation module 77 is used to construct a simulation model of the system based on the system structure, set the initial parameters of the simulation model based on the calibration result data, and obtain simulation data after a preset simulation time, which is recorded as the third evaluation reference data.
[0072] The weighting module 78 performs weighted summarization and statistical analysis on the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data, and combines this with preset judgment criteria to obtain the current system's evaluation report.
[0073] Optionally, the first computing module 72 includes:
[0074] The first calculation unit 721 is used to calculate the wind speed of multiple important nodes, including the wind speed of the vertical mill inlet pipe, the wind speed of the nozzle ring, and the wind speed of the circulating air duct.
[0075] The second calculation unit 722 is used to calculate the resistance of multiple key equipment, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator and the resistance of the bag dust collector.
[0076] The third calculation unit 723 is used to calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume of high temperature fans, the air volume and unit consumption of circulating fans, the air volume and unit consumption of tail exhaust fans, the unit consumption of the vertical mill main motor and the unit consumption of the classifier.
[0077] It should be noted that the specific manner in which each module performs its operation in the apparatus described in the above embodiments has been described in detail in the embodiments of the method, and will not be elaborated here.
[0078] Example 4
[0079] Corresponding to the above method embodiments, this disclosure also provides a comprehensive evaluation device for a cement raw meal grinding system. The comprehensive evaluation device for a cement raw meal grinding system described below and the comprehensive evaluation method for a cement raw meal grinding system described above can be referred to in correspondence with each other.
[0080] Figure 3 This is a block diagram illustrating a comprehensive evaluation device 800 for a cement raw material grinding system, according to an exemplary embodiment. (See diagram below.) Figure 3 As shown, the electronic device 800 may include a processor 801 and a memory 802. The electronic device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.
[0081] The processor 801 controls the overall operation of the electronic device 800 to complete all or part of the steps in the comprehensive evaluation method for the cement raw material grinding system described above. The memory 802 stores various types of data to support the operation of the electronic device 800. This data may include, for example, instructions for any application or method operating on the electronic device 800, and application-related data such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in memory 802 or transmitted via communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual or physical buttons. Communication component 805 is used for wired or wireless communication between the electronic device 800 and other devices. Wireless communication may include Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of these. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, or an NFC module.
[0082] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described comprehensive evaluation method for cement raw material grinding systems.
[0083] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described comprehensive evaluation method for cement raw meal grinding systems. For example, the computer-readable storage medium may be the memory 802 including program instructions, which may be executed by the processor 801 of the electronic device 800 to complete the above-described comprehensive evaluation method for cement raw meal grinding systems.
[0084] Example 5
[0085] Corresponding to the above method embodiments, this disclosure also provides a readable storage medium. The readable storage medium described below can be referred to in conjunction with the comprehensive evaluation method for a cement raw material grinding system described above.
[0086] A readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the comprehensive evaluation method for the cement raw material grinding system described in the above method embodiments.
[0087] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.
[0088] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.
Claims
1. A comprehensive evaluation method for a cement raw material grinding system, characterized in that, The method includes: Acquire on-site historical data, which includes control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period; Preliminary calculations are performed on the aforementioned historical data, including: Calculate the wind speed at multiple key nodes, including the wind speed at the vertical mill inlet pipe, the wind speed at the nozzle ring, and the wind speed at the circulating air duct. Calculate the resistance of several key equipment components, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator, and the resistance of the bag dust collector. Calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume and unit consumption of high temperature fans, circulating fans, tail exhaust fans, vertical mill main motor, and classifier. The preliminary calculation data is obtained and recorded as the first evaluation reference data. It is then sent to multiple engineer terminals so that multiple engineers can make a system status judgment conclusion by comparing the preliminary calculation data with the statistical data provided by the manufacturer. The system receives system status judgment conclusions from each engineer terminal and obtains key calibration content based on multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan, and the gas composition of the high-temperature fan; the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, and the gas composition of the mill inlet pipe; the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, and the gas composition of the circulating air duct; the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, the pressure of the cyclone outlet manifold, the dust concentration of the cyclone outlet manifold, and the gas composition of the cyclone outlet manifold; the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan, and the gas composition of the circulating fan. The location, number, and method of the openings are determined based on the key calibration content, and calibration monitoring equipment is set up at the corresponding location in the equipment system according to the location, number, and method of the openings. The calibration data fed back by multiple calibration monitoring devices at different time periods are obtained and averaged to obtain the calibration result data; The calibration results data are integrated and extracted to obtain second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the ring wind speed of the mill inlet pipe and nozzle, the air leakage data of each pipeline, the cyclone separation efficiency and the unit consumption of the main equipment. A simulation model of the system is constructed based on the system structure, and the initial parameters of the simulation model are set according to the calibration result data. After a preset simulation time, simulation data is obtained and recorded as the third evaluation reference data. The first evaluation reference data, the second evaluation reference data, and the third evaluation reference data are weighted, summarized, and statistically analyzed, and combined with preset judgment criteria to obtain the current system's evaluation report.
2. The comprehensive evaluation method for cement raw material grinding systems according to claim 1, characterized in that, The preset judgment criteria are as follows: the negative pressure at the mill inlet is less than 1000Pa, the inlet wind speed is less than 17m / s, the circulating air volume is greater than 1 / 4 of the total air volume of the system, the mill pressure difference in the vertical mill system is less than 7000Pa, the nozzle ring wind speed is 40-60m / s, the cyclone pressure loss is less than 1500Pa, the separation efficiency is greater than 92%, the mill step-by-step unit consumption should be less than 6 kWh / ton of raw material, the circulating fan step-by-step unit consumption should be less than 5 kWh / ton of raw material, and the increase in oxygen content due to air leakage in the whole grinding system is less than 3%.
3. The comprehensive evaluation method for cement raw material grinding systems according to claim 1, characterized in that, The weight ratio of the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data is 1:6:
3.
4. A comprehensive evaluation device for a cement raw material grinding system, characterized in that, The device includes: The first acquisition module is used to acquire on-site historical data, which includes control image data records, raw material parameter records, product quality parameter records, multiple equipment status parameter records, and pipe dimensions within a first preset time period. The first calculation module is used to perform preliminary calculations on the on-site historical data to obtain preliminary calculation data, which is recorded as the first evaluation reference data and sent to multiple engineer terminals so that multiple engineers can obtain a system status judgment conclusion by comparing the preliminary calculation data with the statistical data provided by the manufacturer. The first computing module includes: The first calculation unit is used to calculate the wind speed of multiple important nodes, including the wind speed of the vertical mill inlet pipe, the wind speed of the nozzle ring, and the wind speed of the circulating air duct. The second calculation unit is used to calculate the resistance of multiple key equipment, including the resistance of the mill inlet pipe, the resistance of various parts of the mill, the resistance of the cyclone separator, and the resistance of the bag dust collector. The third calculation unit is used to calculate the air volume of multiple large fans and the unit consumption of important equipment, including the air volume of high temperature fans, the air volume and unit consumption of circulating fans, the air volume and unit consumption of tail exhaust fans, the unit consumption of vertical mill main motor and the unit consumption of classifier. The second calculation module is used to receive the system status judgment conclusions fed back by each engineer terminal, and to obtain key calibration content based on multiple system status judgment conclusions. The key calibration content includes the air volume of the high-temperature fan, the temperature of the high-temperature fan, the inlet and outlet pressures of the high-temperature fan and the gas composition of the high-temperature fan, the air volume of the mill inlet pipe, the temperature of the mill inlet pipe, the pressure of the mill inlet pipe, the gas composition of the mill inlet pipe, the air volume of the circulating air duct, the temperature of the circulating air duct, the pressure of the circulating air duct, the gas composition of the circulating air duct, the air volume of the cyclone outlet manifold, the temperature of the cyclone outlet manifold, the pressure of the cyclone outlet manifold, the dust concentration of the cyclone outlet manifold, the gas composition of the cyclone outlet manifold, the air volume of the circulating fan, the temperature of the circulating fan, the inlet and outlet pressures of the circulating fan and the gas composition of the circulating fan. The third calculation module is used to determine the opening location, number of openings and opening method according to the key calibration content, and to set up calibration monitoring equipment at the corresponding position in the equipment system according to the opening location, the number of openings and the opening method; The second acquisition module is used to acquire calibration data fed back by multiple calibration monitoring devices at different time periods, and to perform averaging on the data to obtain calibration result data. An integration module is used to integrate and extract the calibration result data to obtain second evaluation reference data. The second evaluation reference data includes the pressure loss of each main equipment component, the ring wind speed of the mill inlet pipe and nozzle, the air leakage data of each pipeline, the cyclone separation efficiency, and the unit consumption of the main equipment. The simulation module is used to construct a simulation model of the system based on the system structure, set the initial parameters of the simulation model based on the calibration result data, and obtain simulation data after a preset simulation time, which is recorded as the third evaluation reference data. The weighting module performs weighted summaries and statistical analysis on the first evaluation reference data, the second evaluation reference data, and the third evaluation reference data, and combines this with preset judgment criteria to obtain the current system's evaluation report.