Cold rolling lubricant pre-detection method and system based on production analysis

Abstract

The invention relates to the technical field of sample pre-detection, in particular to a cold rolling lubricant pre-detection method and system based on production analysis. The method comprises the following steps: regularly collecting cold rolling lubricant samples on a cold rolling production line, and carrying out ultraviolet and infrared spectrum analysis and sample chemical performance evaluation analysis to obtain chemical performance indexes of the cold rolling lubricant samples; monitoring the physical parameter data set of the cold rolling lubricant sample in real time by using an on-line monitoring sensor arranged in the cold rolling production line, and evaluating and analyzing the physical performance of the sample to obtain the physical performance index of the cold rolling lubricant sample; the cold rolling production process on the cold rolling production line is subjected to production process parameter real-time monitoring and lubricant performance analysis, meanwhile, sample production pre-inspection treatment and sample use suggestion analysis are conducted, and a cold rolling lubricant sample pre-inspection use suggestion scheme is generated so as to execute corresponding cold rolling lubricant sample pre-inspection use suggestion work. According to the invention, more accurate optimization of the cold rolling lubricant production process can be realized.

Description

Technical Field

[0001] The invention relates to the technical field of sample pre-inspection, and in particular to a cold rolling lubricant pre-inspection method and system based on production analysis. Background Art

[0002] Cold rolling is a common manufacturing process in the metal processing industry. It is mainly used to shape and process metal materials through cooling and lubrication. Cold rolling lubricants play a vital role in the cold rolling process, reducing friction, lowering temperature, extending mold life, and improving the surface quality of the final product. During the production process, the performance of the lubricant will be affected by many factors such as temperature, pressure, and material type. How to accurately evaluate the applicability of the lubricant and its impact on the cold rolling process is a major challenge facing the current industry. However, traditional cold rolling lubricant pre-inspection methods usually rely on manual experience and simple inspection methods. The evaluation of the chemical and physical properties of cold rolling lubricants is not comprehensive enough, and changes in the chemical and physical properties of cold rolling lubricants are often unable to be discovered in time, resulting in low efficiency in the detection of cold rolling lubricants on the production line. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a cold rolling lubricant pre-inspection method and system based on production analysis to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a cold rolling lubricant pre-inspection method based on production analysis includes the following steps:

[0005] Step S1: regularly collecting cold rolling lubricant samples on a cold rolling production line and performing ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant; performing sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples based on the ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant to obtain chemical performance indicators of the cold rolling lubricant samples;

[0006] Step S2: using the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the cold rolling lubricant viscosity, the cold rolling lubricant density and the cold rolling lubricant flash point; based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed for sample physical properties to obtain the physical performance index of the cold rolling lubricant sample;

[0007] Step S3: Real-time monitoring of the production process parameters of the cold rolling production process on the cold rolling production line to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure, and a cold rolling production rolling temperature; lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples based on the cold rolling production process process parameter data set to obtain sample performance scores corresponding to the cold rolling lubricant under different production process conditions;

[0008] Step S4: Based on the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions, the corresponding cold rolling lubricant samples are subjected to sample production pre-inspection processing to obtain cold rolling lubricant samples that pass the pre-inspection and cold rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold rolling lubricant samples that pass the pre-inspection and the cold rolling lubricant samples that fail the pre-inspection, and a cold rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold rolling lubricant sample pre-inspection usage recommendation work.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: regularly collecting cold rolling lubricant samples on a cold rolling production line and systematically pre-treating the cold rolling lubricant samples to obtain a cold rolling lubricant pre-treatment sample library;

[0011] Step S12: performing a spectral response test and calibration on the spectrometer based on a standard sample of cold rolling lubricant with known chemical composition to obtain a spectral accuracy calibration instrument;

[0012] Step S13: using a spectral precision registration instrument to perform ultraviolet infrared spectrum analysis on the corresponding cold rolling lubricant samples in the cold rolling lubricant pretreatment sample library to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant;

[0013] Step S14: performing spectral characteristic peak identification analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant to obtain the spectral characteristic peaks of the chemical composition of the cold rolling lubricant; performing chemical composition structure analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant based on the spectral characteristic peaks of the chemical composition of the cold rolling lubricant to obtain chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample; performing chemical composition analysis and comparison analysis on the chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample according to a known cold rolling lubricant component database to obtain the main chemical components of the cold rolling lubricant sample;

[0014] Step S15: Based on the main chemical components of the cold rolling lubricant samples, the chemical performance evaluation and analysis of the corresponding cold rolling lubricant samples are performed to obtain the chemical performance indicators of the cold rolling lubricant samples.

[0015] Further, step S15 includes the following steps:

[0016] Step S151: using gas chromatography-mass spectrometry to perform quantitative chemical component analysis on the main chemical components of the cold rolling lubricant sample to obtain quantitative component data corresponding to the chemical components of each cold rolling lubricant sample;

[0017] Step S152: performing a qualitative analysis of chemical properties of the main chemical components of the cold rolling lubricant samples to obtain chemical property data corresponding to the chemical components of each cold rolling lubricant sample;

[0018] Step S153: Based on the quantitative data of the components corresponding to the chemical composition of each cold rolling lubricant sample and the chemical property data, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the chemical performance indicators of the cold rolling lubricant sample, wherein the chemical performance indicators of the cold rolling lubricant sample include antioxidant performance indicators, anti-foaming performance indicators, anti-emulsification performance indicators and corrosion performance indicators.

[0019] Further, step S2 includes the following steps:

[0020] Step S21: using the ultrasonic viscosity sensor built into the cold rolling production line to monitor the viscosity of the corresponding cold rolling lubricant sample in real time to obtain the viscosity of the cold rolling lubricant;

[0021] Step S22: using a densitometer built into the cold rolling production line to monitor the density of the corresponding cold rolling lubricant sample in real time to obtain the density of the cold rolling lubricant;

[0022] Step S23: using a built-in flash point tester on the cold rolling production line to monitor the flash point of the corresponding cold rolling lubricant sample in real time to obtain the flash point of the cold rolling lubricant;

[0023] Step S24: pre-processing and merging the cold rolling lubricant viscosity, cold rolling lubricant density and cold rolling lubricant flash point to obtain a cold rolling lubricant sample physical parameter data set;

[0024] Step S25: Based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the physical performance index of the cold rolling lubricant sample.

[0025] Further, step S25 includes the following steps:

[0026] Step S251: performing friction load performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the cold rolling lubricant viscosity and cold rolling lubricant density in the cold rolling lubricant sample physical parameter data set to obtain the cold rolling lubricant fluidity friction load performance index;

[0027] Step S252: obtaining the cold rolling flow pressure corresponding to the cold rolling lubricant sample on the cold rolling production line, and performing sample viscosity-pressure performance evaluation and analysis on the viscosity of the cold rolling lubricant based on the cold rolling flow pressure to obtain a viscosity-pressure performance index of the cold rolling lubricant;

[0028] Step S253: performing flash point safety performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the flash point of the cold rolling lubricant in the physical parameter data set of the cold rolling lubricant sample to obtain a flash point safety performance index of the cold rolling lubricant;

[0029] Step S254: combining the cold rolling lubricant fluidity friction load performance index, the cold rolling lubricant viscosity pressure performance index and the cold rolling lubricant flash point safety performance index to obtain the cold rolling lubricant sample physical performance index.

[0030] Further, step S251 includes the following steps:

[0031] The relative dynamic viscosity of the cold rolling lubricant sample on the cold rolling production line is obtained through the cold rolling lubricant viscosity in the physical parameter data set of the cold rolling lubricant sample, and the kinematic viscosity ratio of the relative dynamic viscosity is calculated based on the cold rolling lubricant density to obtain the kinematic viscosity of the cold rolling lubricant sample;

[0032] Perform sample flow simulation analysis on the corresponding cold rolling lubricant samples on the cold rolling production line to generate a cold rolling lubricant sample flow simulation field;

[0033] Based on the flow simulation field of the cold rolling lubricant sample, the sample fluidity evaluation analysis of the corresponding cold rolling lubricant sample is performed to obtain the fluidity evaluation factor of the cold rolling lubricant sample;

[0034] Based on the kinematic viscosity of the cold rolling lubricant sample, the sample flow friction load between the cold rolling lubricant sample and the friction surface on the cold rolling production line is measured and calculated to obtain the fluid flow friction load between the cold rolling lubricant sample and the friction surface;

[0035] Based on the fluidity evaluation factor of the cold rolling lubricant sample, the friction load performance evaluation and analysis of the fluid flow friction load between the cold rolling lubricant sample and the friction surface was carried out to obtain the fluidity friction load performance index of the cold rolling lubricant.

[0036] Further, step S3 includes the following steps:

[0037] Step S31: Designing a production rolling parameter monitoring network for the cold rolling production process on the cold rolling production line using a speed sensor, a pressure sensor, and a temperature sensor, so as to obtain a cold rolling production process rolling parameter monitoring network architecture;

[0038] Step S32: Based on the speed sensor, pressure sensor and temperature sensor in the cold rolling production process rolling parameter monitoring network architecture, the cold rolling production process on the cold rolling production line is monitored in real time for production process parameters to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure and a cold rolling production rolling temperature;

[0039] Step S33: Designing production process conditions for the cold rolling production process process parameter data set to generate different cold rolling production process process parameter conditions;

[0040] Step S34: Based on different process parameter conditions of the cold rolling production process, the chemical performance indexes of the cold rolling lubricant samples and the physical performance indexes of the cold rolling lubricant samples are evaluated and analyzed for the impact of process condition performance changes, so as to obtain the chemical performance change impact correlation factors and physical performance change impact correlation factors corresponding to the cold rolling lubricant under different production process conditions;

[0041] Step S35: Based on the chemical property change influencing correlation factors and physical property change influencing correlation factors of the cold rolling lubricant under different production process conditions, the lubricant performance score is calculated for the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples using the sample performance score calculation formula to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions.

[0042] Furthermore, the sample performance score calculation formula described in step S35 is specifically:

[0043]

[0044] In the formula, S j is the sample performance score of the cold rolling lubricant under the jth production process condition, m is the total number of production process conditions, j is the item index parameter of the production process conditions, n is the total number of chemical performance indicators, i is the item index parameter of the chemical performance indicators, C i is the specific value corresponding to the i-th chemical performance index, α i is the chemical performance change impact correlation factor corresponding to the i-th chemical performance index, a i is the weight coefficient corresponding to the i-th chemical performance index, exp is the exponential function, T i is the temperature corresponding to the i-th chemical performance index in the production process, β i is the temperature attenuation coefficient corresponding to the i-th chemical performance index, D ij is the correlation between the i-th chemical performance index and the j-th production process condition, γ jis the chemical influencing factor related to the jth production process condition, p is the total number of physical performance indicators, k is the item index parameter of the physical performance indicators, P k is the specific value corresponding to the kth physical performance index, δ is the physical performance change influence correlation factor corresponding to the kth physical performance index, w k is the weight coefficient corresponding to the kth physical performance index, V k is the pressure value corresponding to the kth physical performance index in the production process, τ k is the pressure attenuation coefficient corresponding to the kth physical performance index, F kj is the correlation between the kth physical performance index and the jth production process condition, is the physical influencing factor related to the jth production process condition, and η is the correction coefficient of the sample performance score.

[0045] Further, step S4 includes the following steps:

[0046] Step S41: Preliminary inspection and comparison of the sample performance scores of the cold rolling lubricant under different production process conditions according to the preset sample performance score threshold value. If the corresponding sample performance score value is greater than or equal to the preset sample performance score threshold value, the corresponding cold rolling lubricant sample is preliminarily judged as a qualified cold rolling lubricant sample; if the corresponding sample performance score value is less than the preset sample performance score threshold value, the corresponding cold rolling lubricant sample is preliminarily judged as an unqualified cold rolling lubricant sample;

[0047] Step S42: performing sample continued use recommendation analysis on the pre-inspected qualified cold rolling lubricant samples, generating a continued use recommendation plan for the pre-inspected qualified cold rolling lubricant samples, and executing corresponding continued use recommendation work for the cold rolling lubricant samples;

[0048] Step S43: performing sample abnormality warning processing on the cold rolling lubricant sample that fails the pre-inspection, so as to generate a cold rolling lubricant sample pre-inspection failure warning response signal;

[0049] Step S44: Apply the cold rolling lubricant sample pre-inspection unqualified early warning response signal to the corresponding automatic control system on the cold rolling production line to perform sample improvement suggestion analysis on the corresponding pre-inspection unqualified cold rolling lubricant samples, and generate improvement strategy suggestion plans for the pre-inspection unqualified cold rolling lubricant samples to execute the corresponding cold rolling lubricant sample improvement strategy suggestion work.

[0050] Furthermore, the present invention also provides a cold rolling lubricant pre-inspection system based on production analysis, which is used to execute the cold rolling lubricant pre-inspection method based on production analysis as described above, and the cold rolling lubricant pre-inspection system based on production analysis includes:

[0051] The sample chemical performance evaluation and analysis module is used to collect cold rolling lubricant samples on a cold rolling production line regularly, and perform ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant; based on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant, perform sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples to obtain the chemical performance index of the cold rolling lubricant samples;

[0052] The sample physical property evaluation and analysis module is used to use the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the viscosity of the cold rolling lubricant, the density of the cold rolling lubricant and the flash point of the cold rolling lubricant; based on the physical parameter data set of the cold rolling lubricant sample, the sample physical property evaluation and analysis of the corresponding cold rolling lubricant sample is performed to obtain the physical property index of the cold rolling lubricant sample;

[0053] The lubricant sample performance evaluation module is used to monitor the production process parameters of the cold rolling production process on the cold rolling production line in real time to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes the cold rolling production rolling speed, the cold rolling production rolling pressure and the cold rolling production rolling temperature; based on the cold rolling production process process parameter data set, the lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples, so as to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions;

[0054] The sample pre-inspection usage recommendation analysis module is used to perform sample production pre-inspection processing on the corresponding cold-rolling lubricant samples based on the corresponding sample performance score values ​​of the cold-rolling lubricants under different production process conditions, so as to obtain cold-rolling lubricant samples that pass the pre-inspection and cold-rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold-rolling lubricant samples that pass the pre-inspection and the cold-rolling lubricant samples that fail the pre-inspection, and a cold-rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold-rolling lubricant sample pre-inspection usage recommendation work.

[0055] Beneficial effects of the present invention:

[0056] 1. The cold rolling lubricant pre-inspection method based on production analysis proposed by the present invention has the beneficial effect of obtaining the chemical composition information of the sample by regularly collecting cold rolling lubricant samples on the cold rolling production line and performing ultraviolet infrared spectroscopy analysis on the cold rolling lubricant samples. This process can not only identify the main components in the lubricant, but also reveal its trace components. Through ultraviolet infrared spectroscopy technology, the characteristic absorption peaks of each chemical component in the lubricant can be accurately identified. This information is crucial for subsequent chemical composition analysis. This step can monitor the composition changes of the lubricant in real time, provide timely feedback for the production process, and realize the rapid identification and classification of different lubricant samples, thereby promoting the improvement of production efficiency and the rational use of resources. At the same time, by evaluating and analyzing the chemical properties of the corresponding cold rolling lubricant samples based on the UV-IR spectrum of the chemical composition of the cold rolling lubricant, various performance indicators of the lubricant can be quantified, such as anti-oxidation, anti-foaming, anti-emulsification and corrosion, etc. These performance indicators are directly related to the use effect of the lubricant in the cold rolling process. Chemical performance evaluation can not only help pre-inspect the corresponding cold rolling lubricant samples in the production process, but also provide necessary data support for the subsequent classification of qualified samples, and provide guidance for future product improvements, so as to effectively discover the changes in the chemical properties of cold rolling lubricants. Secondly, by using the built-in ultrasonic viscosity sensor on the cold rolling production line to monitor the viscosity of the corresponding cold rolling lubricant samples in real time, the viscosity changes of the cold rolling lubricant can be grasped in real time. Viscosity is an indicator of the internal friction of the fluid, which directly affects the lubrication performance and processing effect. By real-time monitoring of viscosity, production personnel can timely discover changes in the physical properties of the lubricant and take corresponding measures to adjust it. By using the built-in densitometer on the cold rolling production line to monitor the density of the corresponding cold rolling lubricant samples in real time, the physical property data of the lubricant can be obtained. Density is one of the important parameters of the fluid, reflecting its composition and state. Real-time monitoring of density can help production personnel judge the quality and performance changes of the lubricant. By using the built-in flash point tester on the cold rolling production line to monitor the flash point of the corresponding cold rolling lubricant samples in real time, the safety and flammability of the lubricant can be effectively evaluated. The flash point is the lowest temperature at which the lubricant releases flammable vapor under specific conditions, which is directly related to the safety management in the production process. During the cold rolling process, the appropriate flash point can ensure that the lubricant is not easy to volatilize under high temperature conditions, thereby avoiding potential fire risks. Real-time monitoring of the flash point can help production personnel quickly identify the deterioration and changes of the lubricant, especially in high temperature and high pressure environments. Timely detection of problems can effectively prevent accidents.By evaluating and analyzing the physical properties of the corresponding cold rolling lubricant samples based on the physical parameter data set of the cold rolling lubricant samples, we can fully understand the physical performance indicators of the cold rolling lubricant. This step converts all monitoring data into actual indicators that can be used to optimize the production process, such as the effectiveness, stability and safety of the lubricant. Through the analysis of the physical properties of the samples, production personnel can effectively and timely discover changes in the physical properties of the cold rolling lubricant samples, thereby improving the economy and safety of cold rolling production. Then, by using speed sensors, pressure sensors and temperature sensors to monitor the production process parameters of the cold rolling production process on the cold rolling production line in real time, it can provide a scientific basis for cold rolling production management. The cold rolling production process process parameter data set generated by this process not only includes core parameters such as rolling speed, pressure and temperature, but also provides detailed production process data for subsequent performance score calculations. The lubricant performance analysis is also carried out on the chemical performance indicators and physical performance indicators of the cold rolling lubricant samples based on the process parameter data set of the cold rolling production process, which can provide clear guidance for the selection and use of lubricants in the subsequent process. This scoring calculation process quantifies the performance of cold rolling lubricants under different process conditions, so that qualified cold rolling lubricants can be screened out more scientifically in the actual production process, thereby improving the performance detection efficiency and product quality of cold rolling lubricants on the production line. Finally, the sample performance score values ​​corresponding to the cold rolling lubricants under different production process conditions are pre-checked and compared according to the preset sample performance score threshold. This process is of great significance for ensuring the effectiveness and safety of cold rolling lubricants in the production process. By setting the sample performance score threshold, the applicability of different lubricant samples under specific production process conditions can be objectively evaluated. If the performance score value of the sample is greater than or equal to the threshold, it means that the performance of the lubricant sample has reached the expected standard and can be judged as qualified. This process provides a clear basis for the selection of lubricants on the production line, ensuring the stability of the production process and product quality. On the contrary, for samples with a score value less than the threshold, it means that the lubricant cannot provide the required lubrication effect in actual production, and may even cause equipment wear, failure and other problems, and is therefore judged to be unqualified. By conducting a sample continued use recommendation analysis on the pre-inspection qualified cold rolling lubricant samples, this step generates a corresponding continued use recommendation plan through further evaluation of the qualified samples to ensure the effective application of qualified lubricants. This process not only focuses on the performance of the lubricant itself, but also pays more attention to how to maximize its effect under specific process conditions. The continued use recommendation plan can provide a reference for the maintenance and management of the production process. In addition, by conducting a sample improvement recommendation analysis on the pre-inspection unqualified cold rolling lubricant samples, the improvement strategy recommendation analysis for unqualified lubricants on the production line can be realized. The significance of this link is that it combines informatization, automation and intelligent decision-making to form an efficient feedback mechanism.When unqualified samples are detected, the system can not only automatically issue an early warning, but also analyze how to improve these lubricants to meet production needs. The generation of this improvement strategy is based on an in-depth analysis of the performance data and process conditions of the unqualified samples, providing the R&D team with a clear direction and basis, thereby improving the performance and applicability of cold rolling lubricants.

[0057] 2. The cold rolling lubricant pre-inspection system based on production analysis proposed in the present invention is generally composed of a sample chemical property evaluation and analysis module, a sample physical property evaluation and analysis module, a lubricant sample performance evaluation module and a sample pre-inspection usage recommendation analysis module. It can realize any cold rolling lubricant pre-inspection method based on production analysis described in the present invention, and is used to combine the operations between computer programs running on each module to realize the cold rolling lubricant pre-inspection method based on production analysis. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient cold rolling lubricant pre-inspection process based on production analysis, thereby simplifying the operation process of the cold rolling lubricant pre-inspection system based on production analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0059] Figure 1 It is a schematic diagram of the steps of the cold rolling lubricant pre-inspection method based on production analysis of the present invention;

[0060] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0061] Figure 3 for Figure 2 Detailed step flow chart of step S15 in FIG. DETAILED DESCRIPTION

[0062] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0064] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0065] To achieve this, please refer to Figures 1 to 3 The present invention provides a cold rolling lubricant pre-inspection method based on production analysis, the method comprising the following steps:

[0066] Step S1: regularly collecting cold rolling lubricant samples on a cold rolling production line and performing ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant; performing sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples based on the ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant to obtain chemical performance indicators of the cold rolling lubricant samples;

[0067] Step S2: using the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the cold rolling lubricant viscosity, the cold rolling lubricant density and the cold rolling lubricant flash point; based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed for sample physical properties to obtain the physical performance index of the cold rolling lubricant sample;

[0068] Step S3: Real-time monitoring of the production process parameters of the cold rolling production process on the cold rolling production line to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure, and a cold rolling production rolling temperature; lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples based on the cold rolling production process process parameter data set to obtain sample performance scores corresponding to the cold rolling lubricant under different production process conditions;

[0069] Step S4: Based on the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions, the corresponding cold rolling lubricant samples are subjected to sample production pre-inspection processing to obtain cold rolling lubricant samples that pass the pre-inspection and cold rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold rolling lubricant samples that pass the pre-inspection and the cold rolling lubricant samples that fail the pre-inspection, and a cold rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold rolling lubricant sample pre-inspection usage recommendation work.

[0070] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the cold rolling lubricant pre-inspection method based on production analysis of the present invention. In this example, the cold rolling lubricant pre-inspection method based on production analysis includes the following steps:

[0071] Step S1: regularly collecting cold rolling lubricant samples on a cold rolling production line and performing ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant; performing sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples based on the ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant to obtain chemical performance indicators of the cold rolling lubricant samples;

[0072] In the embodiment of the present invention, in order to ensure the performance of the lubricant in the cold rolling production line, cold rolling lubricant samples need to be collected from the production line regularly. The collection process uses an automatic sampler to extract lubricants from multiple production points at preset time intervals to ensure that the samples are representative, thereby collecting cold rolling lubricant samples. The collected cold rolling lubricant samples are subjected to ultraviolet infrared-visible spectral analysis by a calibrated spectral accuracy registration instrument. In the specific operation process, each pre-treated sample is placed in the sample compartment of the spectrometer in turn, and appropriate measurement parameters such as wavelength range, optical path and scanning speed are set. After starting the instrument, the spectrometer will irradiate the sample with a light source of a specific wavelength and detect the change in light intensity after passing through the sample. The spectral data of each sample is recorded in real time and stored in a computer. In this process, it is ensured that the sample is not disturbed by external light sources during the test, and a blank sample is measured before and after each measurement to correct the baseline noise. By repeatedly measuring each sample, a stable ultraviolet infrared-visible spectrum is obtained, thereby obtaining the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant. At the same time, the characteristic peaks in the spectrum are automatically identified by using the peak detection algorithm based on the obtained purple infrared spectrum of the chemical composition of the cold rolling lubricant, and the different spectral characteristic peaks are analyzed and compared by using the established cold rolling lubricant component database. By using the matching algorithm, the wavelength and intensity of the characteristic peaks are automatically compared with the known components in the database. This process involves statistical analysis to identify the matching degree of the main chemical components in the sample and form a chemical composition report of the cold rolling lubricant sample, including the main components and their relative contents. Then, the chemical properties of the corresponding cold rolling lubricant samples are evaluated and analyzed by combining the main chemical components identified previously, so as to select appropriate chemical performance testing instruments such as viscometer, colorimeter or surface tension meter according to relevant standard methods, and perform performance tests on the samples. Based on the test results and combined with the main chemical components, the chemical performance indicators of the lubricant are evaluated, such as antioxidant, anti-foaming, anti-emulsification and corrosion resistance, and finally the chemical performance indicators of the cold rolling lubricant samples are obtained.

[0073] Step S2: using the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the cold rolling lubricant viscosity, the cold rolling lubricant density and the cold rolling lubricant flash point; based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed for sample physical properties to obtain the physical performance index of the cold rolling lubricant sample;

[0074] In an embodiment of the present invention, the viscosity of the corresponding cold-rolled lubricant sample is monitored in real time by using an ultrasonic viscosity sensor built into the cold-rolled production line. The sensor calculates the viscosity of the sample by emitting ultrasonic pulses and measuring the change in the speed of the ultrasonic pulses propagating in the lubricant. The density of the corresponding cold-rolled lubricant sample is monitored in real time by using a densitometer built into the cold-rolled production line. The densitometer usually adopts the vibrating tube principle, which calculates the density by measuring the change in the vibration frequency of the sample under specific conditions. The flash point of the corresponding cold-rolled lubricant sample is monitored in real time by using a flash point tester built into the cold-rolled production line. This device usually adopts a closed cup flash point test method, which can quickly determine the flash point of the lubricant in a safe environment. After the previously obtained viscosity, density and flash point are collected, the physical parameter preprocessing and merging stage is entered. In this stage, the raw data is cleaned using a data processing tool to remove outliers and noise to ensure the accuracy and consistency of the data. Then, the processed viscosity, density and flash point data are merged into a unified physical parameter data set to obtain a physical parameter data set of the cold-rolled lubricant sample. Then, the physical properties of the corresponding cold rolling lubricant samples are evaluated and analyzed by combining the previously merged physical parameter data set of the cold rolling lubricant samples. The evaluation combines the comprehensive effects of viscosity, density and flash point, and uses statistical analysis methods or physical models to evaluate the applicability and performance indicators of the lubricant in the cold rolling process. During the analysis process, specific calculation methods (such as regression analysis or multivariate analysis) are used to evaluate the contribution of each physical parameter to the lubrication effect to ensure the scientificity and practicality of the results. Finally, the physical performance indicators of the cold rolling lubricant samples are obtained, including fluidity friction load performance indicators, viscosity pressure performance indicators and flash point safety performance indicators.

[0075] Step S3: Real-time monitoring of the production process parameters of the cold rolling production process on the cold rolling production line to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure, and a cold rolling production rolling temperature; lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples based on the cold rolling production process process parameter data set to obtain sample performance scores corresponding to the cold rolling lubricant under different production process conditions;

[0076] In an embodiment of the present invention, by selecting appropriate speed sensors, pressure sensors and temperature sensors, these sensors will be installed at different positions of the cold rolling mill to ensure that the rolling speed, rolling pressure and rolling temperature data can be collected in real time. The speed sensor can be a photoelectric or Hall effect sensor, which is installed near the rolling roller to monitor the speed change when the material passes through; the pressure sensor needs to be installed in the rolling gap, and a high-pressure-resistant and fast-responding sensor is selected to ensure that the instantaneous pressure change can be captured; and the temperature sensor can be a thermocouple or an infrared temperature sensor, which is installed in the rolling area to monitor the temperature state of the material and equipment, and record parameters such as rolling speed, pressure and temperature at a frequency of multiple sampling per second, thereby obtaining a cold rolling production process process parameter data set, including cold rolling production rolling speed, cold rolling production rolling pressure and cold rolling production rolling temperature. By designing production process conditions based on the collected cold rolling production process parameter data set, different rolling parameters are combined by using statistical analysis and experimental design methods to generate multiple process condition combinations, and the chemical performance indicators and physical performance indicators of cold rolling lubricants are systematically evaluated and analyzed for different cold rolling production process parameter conditions. Lubricant samples under different process conditions need to be prepared and the cold rolling environment is simulated in the laboratory. The chemical performance indicator evaluation can be carried out by gas chromatography-mass spectrometry (GC-MS) or infrared spectroscopy analysis (FTIR) and other means to analyze the composition changes of lubricants under different conditions; physical properties can be measured by viscosity measurement, flash point test and other experiments. Under each process condition, the changes in chemical and physical properties of the lubricant samples were recorded, and the impact of their changes on cold rolling production was analyzed to obtain the corresponding correlation factors. Then, a suitable calculation formula was formed by combining the relevant parameters of the production process conditions, the correlation factors affecting the changes in chemical properties, the correlation factors affecting the changes in physical properties, and the relevant parameters to calculate the lubricant performance score for the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples. The values ​​of each indicator were substituted into the formula to calculate the comprehensive score. This score will reflect the performance change effect of the lubricant under specific process conditions, and finally the sample performance score of the cold rolling lubricant under different production process conditions is obtained.

[0077] Step S4: Based on the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions, the corresponding cold rolling lubricant samples are subjected to sample production pre-inspection processing to obtain cold rolling lubricant samples that pass the pre-inspection and cold rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold rolling lubricant samples that pass the pre-inspection and the cold rolling lubricant samples that fail the pre-inspection, and a cold rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold rolling lubricant sample pre-inspection usage recommendation work.

[0078] In an embodiment of the present invention, a preset sample performance score threshold is used to compare and judge the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions obtained by the previous quantitative calculation, so as to organize the sample performance under different production process conditions by using a data analysis tool, such as Excel or Python's Pandas library, to ensure that the performance score value of the sample under each production process condition is accurately recorded, and by writing a conditional judgment logic: if the performance score value of the sample is greater than or equal to the preset threshold, it is marked as a "pre-inspection qualified cold rolling lubricant sample"; if it is less than the threshold, it is marked as a "pre-inspection unqualified cold rolling lubricant sample". Samples", and by analyzing the cold rolling lubricant samples that have passed the pre-inspection, it aims to provide scientific suggestions for their subsequent use. Data analysis software is used to combine historical data and current performance scores to conduct multi-dimensional evaluations, such as lubricant viscosity, temperature stability, metal corrosion rate, etc. Machine learning models, such as decision trees or support vector machines, are used to predict performance and generate recommendations for continued use. This plan will include the optimal use conditions, maintenance cycles, and necessary monitoring indicators of the lubricant, thereby generating a recommended plan for continued use of the pre-inspected cold rolling lubricant samples, and finally executing the corresponding recommended work for continued use of the cold rolling lubricant samples, that is, continuing to use the cold rolling lubricant samples in the cold rolling production process. At the same time, for cold rolling lubricant samples that fail the pre-inspection, abnormal warning processing must be carried out immediately. The real-time monitoring system is used to upload the information of unqualified samples to the central control system to trigger the early warning mechanism. The early warning system should integrate rule-based logical judgment, such as setting thresholds to judge the degree of harm of unqualified samples. When unqualified samples are found, the system will generate an early warning response signal. Then, after the unqualified early warning response signal generated by the previous response is generated, the automatic control system will start the improvement suggestion analysis for the corresponding cold rolling lubricant samples. At this time, the system will collect the specific performance data of unqualified samples and compare and analyze them with qualified samples. Through statistical analysis tools, such as SPSS or R language, the key factors affecting the performance of lubricants, such as component ratio, production temperature, etc., are evaluated. Based on the analysis results, an improvement strategy recommendation plan for unqualified samples will be generated, and the improvement measures to be taken will be clarified, such as adjusting the composition, optimizing the production process or improving the storage conditions, etc., to ensure that the performance of the lubricant used in subsequent production meets the expected standards, thereby generating an improvement strategy recommendation plan for cold rolling lubricant samples that fail the pre-inspection, and finally executing the corresponding cold rolling lubricant sample improvement strategy recommendation work.

[0079] Further, step S1 includes the following steps:

[0080] Step S11: regularly collecting cold rolling lubricant samples on a cold rolling production line and systematically pre-treating the cold rolling lubricant samples to obtain a cold rolling lubricant pre-treatment sample library;

[0081] Step S12: performing a spectral response test and calibration on the spectrometer based on a standard sample of cold rolling lubricant with known chemical composition to obtain a spectral accuracy calibration instrument;

[0082] Step S13: using a spectral precision registration instrument to perform ultraviolet infrared spectrum analysis on the corresponding cold rolling lubricant samples in the cold rolling lubricant pretreatment sample library to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant;

[0083] Step S14: performing spectral characteristic peak identification analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant to obtain the spectral characteristic peaks of the chemical composition of the cold rolling lubricant; performing chemical composition structure analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant based on the spectral characteristic peaks of the chemical composition of the cold rolling lubricant to obtain chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample; performing chemical composition analysis and comparison analysis on the chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample according to a known cold rolling lubricant component database to obtain the main chemical components of the cold rolling lubricant sample;

[0084] Step S15: Based on the main chemical components of the cold rolling lubricant samples, the chemical performance evaluation and analysis of the corresponding cold rolling lubricant samples are performed to obtain the chemical performance indicators of the cold rolling lubricant samples.

[0085] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0086] Step S11: regularly collecting cold rolling lubricant samples on a cold rolling production line and systematically pre-treating the cold rolling lubricant samples to obtain a cold rolling lubricant pre-treatment sample library;

[0087] In the embodiment of the present invention, in order to ensure the performance of the lubricant in the cold rolling production line, cold rolling lubricant samples need to be collected from the production line regularly. The collection process uses an automatic sampler to extract lubricants from multiple production points at preset time intervals to ensure that the samples are representative, thereby collecting cold rolling lubricant samples. At the same time, the collected cold rolling lubricant samples are systematically pretreated, including filtering, centrifugation and dilution steps to remove impurities and particles. During the filtration process, a filter membrane with a diameter of 0.45 microns is used for preliminary purification of the sample, and the sample is centrifuged at a speed of 5000 rpm for 10 minutes by using a centrifuge to separate the precipitate. The sample is diluted with an appropriate solvent for subsequent analysis. All processed samples are stored under refrigeration conditions to finally obtain a cold rolling lubricant pretreatment sample library.

[0088] Step S12: performing a spectral response test and calibration on the spectrometer based on a standard sample of cold rolling lubricant with known chemical composition to obtain a spectral accuracy calibration instrument;

[0089] In an embodiment of the present invention, a high performance liquid chromatograph is used to perform a spectral response test and calibration on a spectrometer by combining a standard sample of a cold rolling lubricant with a known chemical composition. The standard sample is strictly prepared and verified to ensure the accuracy of its composition. First, the standard sample is placed in the measurement chamber of the spectrometer, and the instrument is started for data acquisition. The response data of each chemical component at different wavelengths is obtained by measuring the spectral signal multiple times. Then, the actual measured value is compared with the standard value, and the response curve of the spectrometer is adjusted using mathematical models such as the least squares method to improve its measurement accuracy and sensitivity. After the calibration is completed, the standard spectral curve of each component is recorded to finally obtain a spectral accuracy calibration instrument.

[0090] Step S13: using a spectral precision registration instrument to perform ultraviolet infrared spectrum analysis on the corresponding cold rolling lubricant samples in the cold rolling lubricant pretreatment sample library to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant;

[0091] In an embodiment of the present invention, a spectral accuracy calibration instrument after calibration is used to perform ultraviolet infrared-visible spectral analysis on cold rolling lubricant samples in a cold rolling lubricant pretreatment sample library. In a specific operation process, each pretreatment sample is placed in a sample compartment of a spectrometer in turn, and appropriate measurement parameters are set, such as wavelength range, optical path, and scanning speed. After starting the instrument, the spectrometer irradiates the sample with a light source of a specific wavelength, and detects changes in light intensity after passing through the sample. The spectral data of each sample is recorded in real time and stored in a computer. In this process, it is ensured that the sample is not disturbed by external light sources during the test, and blank samples are measured before and after each measurement to correct the baseline noise. By repeatedly measuring each sample multiple times, a stable ultraviolet infrared-visible spectrum is obtained to form an ultraviolet infrared-visible spectrum data set of the chemical composition of the cold rolling lubricant, and finally the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant is obtained.

[0092] Step S14: performing spectral characteristic peak identification analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant to obtain the spectral characteristic peaks of the chemical composition of the cold rolling lubricant; performing chemical composition structure analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant based on the spectral characteristic peaks of the chemical composition of the cold rolling lubricant to obtain chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample; performing chemical composition analysis and comparison analysis on the chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample according to a known cold rolling lubricant component database to obtain the main chemical components of the cold rolling lubricant sample;

[0093] In the embodiment of the present invention, the spectrum characteristic peaks of the obtained cold rolling lubricant chemical composition ultraviolet infrared spectrum are identified and analyzed, and the spectrum of each sample is preprocessed by professional software tools, including smoothing and denoising. After that, the characteristic peaks in the spectrum are automatically identified by using a peak detection algorithm. This process involves setting a certain threshold to eliminate the influence of noise and ensure that the identified peaks are statistically significant. The wavelength and intensity of each characteristic peak are recorded, thereby obtaining the characteristic peaks of the cold rolling lubricant chemical composition spectrum. The chemical composition structure of the cold rolling lubricant chemical composition ultraviolet infrared spectrum is identified and analyzed by combining the previously identified characteristic peaks of the cold rolling lubricant chemical composition spectrum. This step uses multiple linear regression analysis and chemometric methods to establish a relationship model between the chemical composition of the sample and the characteristic peaks of the spectrum. In specific implementation, a standard sample with known components is selected as a training set, and a mathematical model is constructed using the relationship between its characteristic peaks of the spectrum and the chemical composition. Subsequently, each sample in the preprocessed sample library is input into the model for prediction, and the chemical composition structure data corresponding to different characteristic peaks of the spectrum are analyzed, including the concentration of each component and its influence on the overall lubrication performance, thereby obtaining the chemical composition structure data corresponding to different characteristic peaks of the spectrum in the cold rolling lubricant sample. At the same time, by using the established cold rolling lubricant component database, the chemical composition structure data corresponding to different spectral characteristic peaks are analyzed and compared. By using the matching algorithm, the wavelength and intensity of the characteristic peaks are automatically compared with the known components in the database. This process involves statistical analysis to identify the matching degree of the main chemical components in the sample, and form a chemical composition report of the cold rolling lubricant sample, including the main components and their relative contents, and finally the main chemical components of the cold rolling lubricant sample are obtained.

[0094] Step S15: Based on the main chemical components of the cold rolling lubricant samples, the chemical performance evaluation and analysis of the corresponding cold rolling lubricant samples are performed to obtain the chemical performance indicators of the cold rolling lubricant samples.

[0095] In an embodiment of the present invention, the chemical properties of the corresponding cold rolling lubricant samples are evaluated and analyzed by combining the main chemical components of the cold rolling lubricant samples previously identified. First, according to relevant standard methods, suitable chemical property testing instruments are selected, such as a viscometer, a colorimeter or a surface tension meter, to perform performance tests on the samples. Based on the test results and in combination with the main chemical components, the chemical performance indicators of the lubricant, such as antioxidant properties, anti-foaming properties, anti-emulsification properties and corrosion resistance, are evaluated to finally obtain the chemical performance indicators of the cold rolling lubricant samples.

[0096] Further, step S15 includes the following steps:

[0097] Step S151: using gas chromatography-mass spectrometry to perform quantitative chemical component analysis on the main chemical components of the cold rolling lubricant sample to obtain quantitative component data corresponding to the chemical components of each cold rolling lubricant sample;

[0098] Step S152: performing a qualitative analysis of chemical properties of the main chemical components of the cold rolling lubricant samples to obtain chemical property data corresponding to the chemical components of each cold rolling lubricant sample;

[0099] Step S153: Based on the quantitative data of the components corresponding to the chemical composition of each cold rolling lubricant sample and the chemical property data, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the chemical performance indicators of the cold rolling lubricant sample, wherein the chemical performance indicators of the cold rolling lubricant sample include antioxidant performance indicators, anti-foaming performance indicators, anti-emulsification performance indicators and corrosion performance indicators.

[0100] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S15 in FIG. 1 , in this embodiment, step S15 includes the following steps:

[0101] Step S151: using gas chromatography-mass spectrometry to perform quantitative chemical component analysis on the main chemical components of the cold rolling lubricant sample to obtain quantitative component data corresponding to the chemical components of each cold rolling lubricant sample;

[0102] In an embodiment of the present invention, a gas chromatography-mass spectrometry (GC-MS) technique is used to perform a quantitative chemical composition analysis on the main chemical components of the previously identified cold rolling lubricant sample. The specific steps include sample pretreatment, usually using a solvent extraction method to extract the volatile and semi-volatile components in the cold rolling lubricant sample, filtering the extract, and separating it using a gas chromatograph. An appropriate chromatographic column (such as HP-5 or DB-1) is used to achieve efficient separation of the target compound. After separation, the components in the gas chromatograph are detected by a mass spectrometer, and the mass spectrometer can provide molecular weight and structural information of each compound. By comparing with standard substances, the concentration value of the main chemical components in each cold rolling lubricant sample is quantitatively analyzed, and the content data of each component is recorded in a table form, and finally the quantitative data of the components corresponding to the chemical components of each cold rolling lubricant sample are obtained.

[0103] Step S152: performing a qualitative analysis of chemical properties of the main chemical components of the cold rolling lubricant samples to obtain chemical property data corresponding to the chemical components of each cold rolling lubricant sample;

[0104] In an embodiment of the present invention, a comprehensive chemical property evaluation method is adopted by performing a qualitative analysis of the chemical properties of the main chemical components corresponding to the previously identified cold rolling lubricant samples. First, the FTIR (Fourier transform infrared spectroscopy) technology is used to detect the presence of functional groups in the cold rolling lubricant samples, and the main chemical structure of the sample is determined by analyzing its characteristic absorption peaks. In addition, the NMR (nuclear magnetic resonance) technology can be used to further confirm the structural characteristics of the compound. Liquid chromatography (HPLC) is used to separate and qualitatively identify the polar molecules in the sample. Combined with the above analysis results, the chemical components in the sample are systematically evaluated, and the corresponding chemical property data are recorded, including the polarity, molecular weight, viscosity, surface activity, etc. of the compound, and finally the chemical property data corresponding to the chemical components of each cold rolling lubricant sample are obtained.

[0105] Step S153: Based on the quantitative data of the components corresponding to the chemical composition of each cold rolling lubricant sample and the chemical property data, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the chemical performance indicators of the cold rolling lubricant sample, wherein the chemical performance indicators of the cold rolling lubricant sample include antioxidant performance indicators, anti-foaming performance indicators, anti-emulsification performance indicators and corrosion performance indicators.

[0106] In an embodiment of the present invention, the chemical properties of the corresponding cold rolling lubricant samples are evaluated and analyzed by combining the quantitative data of the components corresponding to the chemical composition of each cold rolling lubricant sample obtained by previous analysis and the chemical property data, so as to adopt a systematic performance testing scheme to evaluate the oxidation resistance, foam resistance, emulsification resistance and corrosion resistance of each cold rolling lubricant sample. The oxidation resistance test is performed by reacting the sample with oxygen at a specific temperature, and using a purple infrared spectrophotometer to measure the absorbance change after the reaction, thereby calculating the oxidation resistance index. The foam resistance test is performed by stirring the sample under standard conditions, measuring the foam stability and defoaming time. The emulsification resistance test is performed by mixing the lubricant sample with water, observing the stratification, and calculating the emulsification rate. The corrosion test uses a standard metal test piece immersed in the sample to observe the corrosion degree of the metal surface and evaluate the corrosion index. The above evaluation data are summarized into a table, and finally the chemical performance indicators of the cold rolling lubricant sample are obtained, including the oxidation resistance performance index, the foam resistance performance index, the emulsification resistance performance index and the corrosion performance index.

[0107] Further, step S2 includes the following steps:

[0108] Step S21: using the ultrasonic viscosity sensor built into the cold rolling production line to monitor the viscosity of the corresponding cold rolling lubricant sample in real time to obtain the viscosity of the cold rolling lubricant;

[0109] In an embodiment of the present invention, the viscosity of the corresponding cold rolling lubricant sample is monitored in real time by using an ultrasonic viscosity sensor built into the cold rolling production line. The sensor calculates the viscosity of the sample by emitting ultrasonic pulses and measuring the change in the speed of their propagation in the lubricant. The operation process includes introducing the lubricant sample into the sensor measurement area through a dedicated pipeline to ensure that the sample flows sufficiently to obtain an accurate reading. The real-time data is displayed on the control panel and recorded as time series data to finally obtain the viscosity of the cold rolling lubricant.

[0110] Step S22: using a densitometer built into the cold rolling production line to monitor the density of the corresponding cold rolling lubricant sample in real time to obtain the density of the cold rolling lubricant;

[0111] In an embodiment of the present invention, a density of a corresponding cold rolling lubricant sample is monitored in real time by using a densitometer built into a cold rolling production line. The densitometer usually adopts the vibrating tube principle, and calculates the density by measuring the change in vibration frequency of the sample under specific conditions. During the implementation process, the cold rolling lubricant sample is injected into the measuring chamber of the densitometer, and the test begins after the instrument completes self-checking. The result of the density measurement is displayed in real time on the monitoring interface and automatically stored to form a system data record, and finally the density of the cold rolling lubricant is obtained.

[0112] Step S23: using a built-in flash point tester on the cold rolling production line to monitor the flash point of the corresponding cold rolling lubricant sample in real time to obtain the flash point of the cold rolling lubricant;

[0113] In an embodiment of the present invention, the flash point of the corresponding cold rolling lubricant sample is monitored in real time by using a built-in flash point tester on the cold rolling production line. This equipment usually adopts a closed cup flash point test method, which can quickly determine the flash point of the lubricant in a safe environment. When implementing it, first a certain amount of cold rolling lubricant sample is placed in a closed cup, the equipment heats the sample to a set temperature and detects the flash phenomenon through a specific fire source. The instrument will automatically record the flash point and send the result to the main control system to ensure that the data is updated in real time and can be traced, and finally the flash point of the cold rolling lubricant is obtained.

[0114] Step S24: pre-processing and merging the cold rolling lubricant viscosity, cold rolling lubricant density and cold rolling lubricant flash point to obtain a cold rolling lubricant sample physical parameter data set;

[0115] In an embodiment of the present invention, after the previously obtained cold rolling lubricant viscosity, cold rolling lubricant density and cold rolling lubricant flash point are collected, a physical parameter preprocessing and merging stage is entered. In this stage, a data processing tool is used to clean the original data to remove outliers and noise to ensure the accuracy and consistency of the data. Then, the processed viscosity, density and flash point data are merged into a unified physical parameter data set to form a complete cold rolling lubricant sample characteristic file, and finally a cold rolling lubricant sample physical parameter data set is obtained.

[0116] Step S25: Based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the physical performance index of the cold rolling lubricant sample.

[0117] In an embodiment of the present invention, a physical property evaluation and analysis of the corresponding cold rolling lubricant samples is performed by combining the previously merged physical parameter data set of the cold rolling lubricant samples. The evaluation combines the comprehensive effects of viscosity, density and flash point, and uses statistical analysis methods or physical models to evaluate the applicability and performance indicators of the lubricant in the cold rolling process. During the analysis process, a specific calculation method (such as regression analysis or multivariate analysis) is used to evaluate the contribution of each physical parameter to the lubrication effect to ensure the scientificity and practicality of the results, and finally the physical performance indicators of the cold rolling lubricant samples are obtained, including fluidity friction load performance indicators, viscosity pressure performance indicators and flash point safety performance indicators.

[0118] Further, step S25 includes the following steps:

[0119] Step S251: performing friction load performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the cold rolling lubricant viscosity and cold rolling lubricant density in the cold rolling lubricant sample physical parameter data set to obtain the cold rolling lubricant fluidity friction load performance index;

[0120] In an embodiment of the present invention, the viscosity and density data of the sample are extracted from the physical parameter data set of the cold rolling lubricant sample, and a standard laboratory viscosity measuring instrument, such as a rotational viscometer, is used to control different shear rates to determine the viscosity value of the sample under various conditions. At the same time, a densitometer is used to accurately measure the density of the sample. Then, combined with the application of the sample in an actual cold rolling production line, a friction load performance evaluation is performed using a friction testing machine. The experiment measures the friction coefficient of the sample at a specific temperature by applying different loads, and then evaluates its fluidity friction load performance. Finally, these test results are summarized and the fluidity friction load performance indicators of the cold rolling lubricant, such as the friction coefficient, wear rate, etc., are calculated to ensure that the lubricant can effectively reduce friction and wear in the actual production process, and finally the fluidity friction load performance indicators of the cold rolling lubricant are obtained.

[0121] Step S252: obtaining the cold rolling flow pressure corresponding to the cold rolling lubricant sample on the cold rolling production line, and performing sample viscosity-pressure performance evaluation and analysis on the viscosity of the cold rolling lubricant based on the cold rolling flow pressure to obtain a viscosity-pressure performance index of the cold rolling lubricant;

[0122] In an embodiment of the present invention, the data of cold rolling flow pressure on the cold rolling production line is obtained so that the flow pressure can be monitored in real time through a pressure sensor installed on the production line. In this process, the flow pressure information is collected by a data acquisition system, and the flow pressure information is analyzed correspondingly with the viscosity data of the cold rolling lubricant sample. In addition, a high temperature and high pressure testing device is used to simulate the actual working conditions during the cold rolling process, and the viscosity-pressure performance of the cold rolling lubricant is systematically evaluated. In this process, the viscosity change of the lubricant is observed by changing the applied pressure and temperature conditions, and the viscosity response curve of the sample under different pressures is recorded, so as to calculate the viscosity-pressure performance index of the lubricant, such as the viscosity value under a specific pressure, to ensure that the lubricant can maintain appropriate lubrication performance during the cold rolling process, and finally obtain the viscosity-pressure performance index of the cold rolling lubricant.

[0123] Step S253: performing flash point safety performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the flash point of the cold rolling lubricant in the physical parameter data set of the cold rolling lubricant sample to obtain a flash point safety performance index of the cold rolling lubricant;

[0124] In an embodiment of the present invention, the safety performance of the corresponding cold-rolled lubricant sample is evaluated and analyzed by combining the cold-rolled lubricant flash point in the physical parameter data set of the cold-rolled lubricant sample obtained by previous real-time monitoring, so as to select a standard flash point test device, such as an open or closed flash point tester, to test the cold-rolled lubricant sample. The sample is gradually heated at a specified heating rate, and the flammability of the sample vapor is detected by an ignition device. The specific temperature data of the sample flash point is recorded and compared with relevant safety standards to ensure the safety of the lubricant during use. After the test is completed, the flash point data is sorted and summarized to form a flash point safety performance index of the cold-rolled lubricant to guide the storage and use requirements of the lubricant in actual production, and finally the flash point safety performance index of the cold-rolled lubricant is obtained.

[0125] Step S254: combining the cold rolling lubricant fluidity friction load performance index, the cold rolling lubricant viscosity pressure performance index and the cold rolling lubricant flash point safety performance index to obtain the cold rolling lubricant sample physical performance index.

[0126] In an embodiment of the present invention, the fluidity friction load performance index, viscosity pressure performance index and flash point safety performance index of the cold rolling lubricant obtained by the previous evaluation and analysis are merged and analyzed to collect the fluidity friction load performance index, viscosity pressure performance index and flash point safety performance index of the cold rolling lubricant, and data analysis software (such as the data analysis library in MATLAB or Python) is used for data processing to combine each performance index into the same data set, and finally the physical performance index of the cold rolling lubricant sample is obtained.

[0127] Further, step S251 includes the following steps:

[0128] The relative dynamic viscosity of the cold rolling lubricant sample on the cold rolling production line is obtained through the cold rolling lubricant viscosity in the physical parameter data set of the cold rolling lubricant sample, and the kinematic viscosity ratio of the relative dynamic viscosity is calculated based on the cold rolling lubricant density to obtain the kinematic viscosity of the cold rolling lubricant sample;

[0129] In an embodiment of the present invention, the relative dynamic viscosity corresponding to the cold rolling lubricant sample on the cold rolling production line is extracted from the cold rolling lubricant viscosity in the physical parameter data set of the cold rolling lubricant sample obtained by previous real-time monitoring, that is, the specific viscosity value at each production time point, and the ratio of the kinematic viscosity is calculated using the relationship between the relative dynamic viscosity and the density. The calculation formula for the kinematic viscosity is: kinematic viscosity = relative dynamic viscosity / density. Through these steps, the kinematic viscosity of the cold rolling lubricant sample can be obtained, and finally the kinematic viscosity of the cold rolling lubricant sample can be obtained.

[0130] Preferably, a sample flow simulation analysis is performed on the corresponding cold rolling lubricant samples on the cold rolling production line to generate a cold rolling lubricant sample flow simulation field;

[0131] In an embodiment of the present invention, a flow simulation analysis is performed on the corresponding cold rolling lubricant samples on the cold rolling production line by using fluid mechanics simulation software (such as ANSYS Fluent or COMSOL Multiphysics), so as to establish a flow simulation model, import the physical parameters of the cold rolling lubricant, especially the kinematic viscosity and density, set the flow boundary conditions, including parameters such as flow velocity, pressure and temperature, run the simulation calculation, and generate the flow field of the cold rolling lubricant sample on the cold rolling production line, including streamlines, velocity distribution and shear stress distribution. The simulation results can intuitively display the flow characteristics of the lubricant under different conditions, and finally simulate and generate the flow simulation field of the cold rolling lubricant sample.

[0132] Preferably, based on the cold rolling lubricant sample flow simulation field, a sample fluidity evaluation analysis is performed on the corresponding cold rolling lubricant sample to obtain a cold rolling lubricant sample fluidity evaluation factor;

[0133] In an embodiment of the present invention, the fluidity evaluation and analysis of the corresponding cold-rolled lubricant sample is performed by combining the flow simulation field of the cold-rolled lubricant sample generated by the previous simulation, so as to utilize the relevant theories of fluid mechanics to analyze the velocity field and pressure field in the flow field, and evaluate the fluidity of the cold-rolled lubricant by calculating the fluidity indicators of the flow area (for example, the fluidity factor and the flow resistance). Professional fluid analysis software is used to evaluate the fluidity indicators of different areas and quantify them into fluidity evaluation factors, and finally the fluidity evaluation factor of the cold-rolled lubricant sample is obtained.

[0134] Preferably, based on the kinematic viscosity of the cold rolling lubricant sample, the sample flow friction load between the cold rolling lubricant sample and the friction surface on the cold rolling production line is measured and calculated to obtain the fluid flow friction load between the cold rolling lubricant sample and the friction surface;

[0135] In an embodiment of the present invention, the sample flow friction load between the cold rolling lubricant sample and the friction surface on the cold rolling production line is measured and calculated by combining the kinematic viscosity of the cold rolling lubricant sample obtained by quantitative calculation previously, so as to simulate the working state of the cold rolling production line by combining the kinematic viscosity and the friction experimental device, and measure the flow friction load at the contact interface between the lubricant and the friction surface. In a specific implementation, the friction surface material, contact pressure, temperature and other conditions are set, and a sensor is used to monitor the friction load value in real time. The calculation formula is: fluid flow friction load = (lubricant kinematic viscosity × shear rate) / friction surface contact area. The friction load data obtained through the experiment can reflect the flow friction performance of the cold rolling lubricant under actual working conditions, and finally the fluid flow friction load between the cold rolling lubricant sample and the friction surface is obtained.

[0136] Preferably, based on the fluidity evaluation factor of the cold rolling lubricant sample, the friction load performance evaluation analysis of the fluid flow friction load between the cold rolling lubricant sample and the friction surface is performed to obtain the cold rolling lubricant fluidity friction load performance index.

[0137] In an embodiment of the present invention, the friction load performance is evaluated and analyzed by combining the fluidity evaluation factor of the cold rolling lubricant sample obtained by previous evaluation calculation and the fluid flow friction load between the cold rolling lubricant sample and the friction surface. The friction load value measured by the comparison experiment is compared with the preset standard to evaluate the friction load performance index of the lubricant during the cold rolling process. The friction performance of different samples under different conditions is statistically analyzed using data analysis software, and a performance evaluation report is generated, focusing on the changing trend of the fluidity friction load performance index, so as to optimize the cold rolling lubricant formula and improve the production process, ensure that the lubricant has good performance and stability in actual application, and finally obtain the fluidity friction load performance index of the cold rolling lubricant.

[0138] Further, step S3 includes the following steps:

[0139] Step S31: Designing a production rolling parameter monitoring network for the cold rolling production process on the cold rolling production line using a speed sensor, a pressure sensor, and a temperature sensor, so as to obtain a cold rolling production process rolling parameter monitoring network architecture;

[0140] In an embodiment of the present invention, by selecting appropriate speed sensors, pressure sensors and temperature sensors, these sensors will be installed at different positions of the cold rolling mill to ensure that the rolling speed, rolling pressure and rolling temperature data can be collected in real time. The speed sensor can use a photoelectric or Hall effect sensor, which is installed near the rolling roller to monitor the speed change when the material passes through; the pressure sensor needs to be installed in the rolling gap, and a high-pressure-resistant and fast-responding sensor is selected to ensure that the instantaneous pressure change can be captured; and the temperature sensor can use a thermocouple or an infrared temperature sensor, which is installed in the rolling area to monitor the temperature status of materials and equipment, so that all sensors are connected into a monitoring network, and finally a rolling parameter monitoring network architecture for the cold rolling production process is obtained.

[0141] Step S32: Based on the speed sensor, pressure sensor and temperature sensor in the cold rolling production process rolling parameter monitoring network architecture, the cold rolling production process on the cold rolling production line is monitored in real time for production process parameters to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure and a cold rolling production rolling temperature;

[0142] In an embodiment of the present invention, by using the established production rolling parameter monitoring network, various process parameter data in the cold rolling production process are collected in real time. The data acquisition process needs to have high-speed sampling and stable transmission functions, and can record parameters such as rolling speed, pressure and temperature at a frequency of multiple sampling per second. In specific implementation, after the cold rolling production line is started, each sensor starts working in turn, and real-time data is transmitted to the database of the central control system. The system will organize and store the collected data to form a complete data set including cold rolling production speed, rolling pressure and rolling temperature. This data set will provide basic data support for subsequent process analysis and optimization, and can reflect the operating status of the production line in real time, so as to adjust the process parameters in time, and finally obtain a cold rolling production process process parameter data set, including cold rolling production rolling speed, cold rolling production rolling pressure and cold rolling production rolling temperature.

[0143] Step S33: Designing production process conditions for the cold rolling production process process parameter data set to generate different cold rolling production process process parameter conditions;

[0144] In an embodiment of the present invention, production process condition design is performed based on the collected cold rolling production process process parameter data set, and different rolling parameters are combined by using statistical analysis and experimental design methods to generate multiple process condition combinations. For example, the design of experiments (DOE) technology can be used to determine the variation range of rolling speed, pressure and temperature, and construct a parameter space. In this process, reasonable upper and lower limits need to be set to ensure that the rolling quality and production efficiency under different conditions meet expectations. Each condition combination should be recorded in detail for use in subsequent experiments, thereby generating different process conditions and ultimately generating different cold rolling production process process parameter conditions.

[0145] Step S34: Based on different process parameter conditions of the cold rolling production process, the chemical performance indexes of the cold rolling lubricant samples and the physical performance indexes of the cold rolling lubricant samples are evaluated and analyzed for the impact of process condition performance changes, so as to obtain the chemical performance change impact correlation factors and physical performance change impact correlation factors corresponding to the cold rolling lubricant under different production process conditions;

[0146] In an embodiment of the present invention, by systematically evaluating and analyzing the impact of different cold rolling production process parameter conditions on the chemical performance indicators and physical performance indicators of the cold rolling lubricant, it is necessary to prepare lubricant samples under different process conditions and simulate the cold rolling environment in the laboratory. The chemical performance indicator evaluation can be carried out by means of gas chromatography-mass spectrometry (GC-MS) or infrared spectroscopy analysis (FTIR) to analyze the composition changes of the lubricant under different conditions; the physical properties can be carried out through experiments such as viscosity measurement and flash point test. Under each process condition, the chemical and physical property changes of the lubricant sample are recorded, and the impact of the changes on the cold rolling production is analyzed to obtain the corresponding correlation factors, and finally the chemical property change impact correlation factors and physical property change impact correlation factors of the cold rolling lubricant under different production process conditions are obtained.

[0147] Step S35: Based on the chemical property change influencing correlation factors and physical property change influencing correlation factors of the cold rolling lubricant under different production process conditions, the lubricant performance score is calculated for the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples using the sample performance score calculation formula to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions.

[0148] In an embodiment of the present invention, a suitable sample performance score calculation formula is formed by combining relevant parameters of production process conditions, quantitative parameters of chemical performance indicators, quantitative parameters of physical performance indicators, chemical performance change impact correlation factors, weight coefficients corresponding to chemical performance indicators, temperature, temperature attenuation coefficient, correlation between chemical performance indicators and production process conditions, chemical influencing factors, physical performance change impact correlation factors, weight coefficients corresponding to physical performance indicators, pressure values, pressure attenuation coefficients, correlation between physical performance indicators and production process conditions, physical influencing factors and related parameters to perform lubricant performance score calculation on the chemical performance indicators of cold rolling lubricant samples and the physical performance indicators of cold rolling lubricant samples. The numerical values ​​of each indicator are substituted into the formula to calculate a comprehensive score. This score will reflect the performance effect of the performance change of the lubricant under specific process conditions, and finally the sample performance score value corresponding to the cold rolling lubricant under different production process conditions is obtained.

[0149] Furthermore, the sample performance score calculation formula described in step S35 is specifically:

[0150]

[0151] In the formula, S j is the sample performance score of the cold rolling lubricant under the jth production process condition, m is the total number of production process conditions, j is the item index parameter of the production process conditions, n is the total number of chemical performance indicators, i is the item index parameter of the chemical performance indicators, C i is the specific value corresponding to the i-th chemical performance index, α i is the chemical performance change impact correlation factor corresponding to the i-th chemical performance index, a i is the weight coefficient corresponding to the i-th chemical performance index, exp is the exponential function, T i is the temperature corresponding to the i-th chemical performance index in the production process, β i is the temperature attenuation coefficient corresponding to the i-th chemical performance index, D ij is the correlation between the i-th chemical performance index and the j-th production process condition, γ j is the chemical influencing factor related to the jth production process condition, p is the total number of physical performance indicators, k is the item index parameter of the physical performance indicators, P k is the specific value corresponding to the kth physical performance index, δ is the physical performance change influence correlation factor corresponding to the kth physical performance index, w k is the weight coefficient corresponding to the kth physical performance index, V k is the pressure value corresponding to the kth physical performance index in the production process, τ kis the pressure attenuation coefficient corresponding to the kth physical performance index, F kj is the correlation between the kth physical performance index and the jth production process condition, is the physical influencing factor related to the jth production process condition, and η is the correction coefficient of the sample performance score.

[0152] The present invention obtains a sample performance scoring calculation formula by using a specific mathematical model and verifying it, which is used to calculate the lubricant performance scoring for the chemical performance indicators of the cold rolling lubricant sample and the physical performance indicators of the cold rolling lubricant sample. The sample performance scoring calculation formula can systematically evaluate the influence of various parameters on the lubricant performance by scoring the sample performance under different process conditions, and supports flexible adjustment of process parameters to meet different production needs. According to different product requirements, corresponding process conditions are designed so that the production line can quickly adapt to changes in market demand and enhance market competitiveness. By evaluating the correlation factors of the chemical and physical property changes of the cold rolling lubricant, the specific influence of different process conditions on the lubricant performance can be deeply understood, guiding the future optimization of lubricant formulations and material selection. Using the sample performance scoring calculation formula, a quantitative standard can be provided for the performance of the lubricant, which is convenient for comparison between different batches of products and helps R&D personnel to improve the product in a targeted manner. At the same time, the scoring results can be used as the basis for improving the production process, and the process and formula can be continuously adjusted according to the scoring results to promote continuous technological progress. In summary, the formula fully considers the sample performance score value S corresponding to the cold rolling lubricant under the jth production process condition. j , the total number of production process conditions m, the item index parameter j of the production process conditions, the total number of chemical performance indicators n, the item index parameter i of the chemical performance indicators, the specific value C corresponding to the i-th chemical performance indicator i , the chemical performance change influence correlation factor α corresponding to the i-th chemical performance index i , the weight coefficient a corresponding to the i-th chemical performance index i , exponential function exp, the temperature T corresponding to the i-th chemical performance index in the production process i , the temperature attenuation coefficient β corresponding to the i-th chemical performance index i , the correlation between the i-th chemical performance index and the j-th production process condition D ij , the chemical influencing factor γ related to the jth production process condition j , the total number of physical performance indicators p, the item index parameter k of the physical performance indicators, and the specific value P corresponding to the kth physical performance indicator k , the physical performance change corresponding to the kth physical performance index affects the correlation factor δ k , the weight coefficient w corresponding to the kth physical performance indexk , the pressure value V corresponding to the kth physical performance index in the production process k , the pressure attenuation coefficient τ corresponding to the kth physical performance index k , the correlation F between the kth physical performance index and the jth production process condition kj , the physical influencing factors related to the jth production process condition The correction coefficient η of the sample performance score is based on the sample performance score S corresponding to the cold rolling lubricant under the jth production process condition. j The correlation between the above parameters forms a functional relationship:

[0153]

[0154] The formula can realize the calculation process of lubricant performance scores for the chemical performance indicators of cold rolling lubricant samples and the physical performance indicators of cold rolling lubricant samples. At the same time, the introduction of the correction coefficient η of the sample performance score value can be adjusted according to the errors occurring in the calculation process, thereby improving the accuracy and applicability of the sample performance score calculation formula.

[0155] Further, step S4 includes the following steps:

[0156] Step S41: Preliminary inspection and comparison of the sample performance scores of the cold rolling lubricant under different production process conditions according to the preset sample performance score threshold value. If the corresponding sample performance score value is greater than or equal to the preset sample performance score threshold value, the corresponding cold rolling lubricant sample is preliminarily judged as a qualified cold rolling lubricant sample; if the corresponding sample performance score value is less than the preset sample performance score threshold value, the corresponding cold rolling lubricant sample is preliminarily judged as an unqualified cold rolling lubricant sample;

[0157] In an embodiment of the present invention, a comparison is made between the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions obtained by the previous quantitative calculation by using a preset sample performance score threshold, so as to organize the sample performance under different production process conditions by using a data analysis tool, such as Excel or Python's Pandas library, to ensure that the performance score value of the sample under each production process condition is accurately recorded, and by writing conditional judgment logic: if the performance score value of the sample is greater than or equal to the preset threshold, it is marked as a "pre-inspection qualified cold rolling lubricant sample"; if it is less than the threshold, it is marked as a "pre-inspection unqualified cold rolling lubricant sample". This process can be automated by writing scripts to improve efficiency and accuracy.

[0158] Step S42: performing sample continued use recommendation analysis on the pre-inspected qualified cold rolling lubricant samples, generating a continued use recommendation plan for the pre-inspected qualified cold rolling lubricant samples, and executing corresponding continued use recommendation work for the cold rolling lubricant samples;

[0159] In an embodiment of the present invention, by analyzing the cold rolling lubricant samples that have passed the pre-inspection, it is intended to provide scientific suggestions for their subsequent use. Data analysis software is used to combine historical data and current performance scores to conduct multi-dimensional evaluations, such as the viscosity, temperature stability, metal corrosion rate, etc. of the lubricant. Machine learning models, such as decision trees or support vector machines, are used to predict performance and generate a recommended plan for continued use. This plan will include the optimal use conditions, maintenance cycles, and necessary monitoring indicators of the lubricant, and provide specific usage guidance for the operators of the production line, thereby generating a recommended plan for continued use of the cold rolling lubricant samples that have passed the pre-inspection, and finally executing the corresponding recommended work for continued use of the cold rolling lubricant samples, that is, continuing to use the cold rolling lubricant samples during the cold rolling production process.

[0160] Step S43: performing sample abnormality warning processing on the cold rolling lubricant sample that fails the pre-inspection, so as to generate a cold rolling lubricant sample pre-inspection failure warning response signal;

[0161] In an embodiment of the present invention, abnormal warning processing must be performed immediately for cold rolling lubricant samples that fail pre-inspection. The information of the unqualified samples is uploaded to the central control system using a real-time monitoring system to trigger an early warning mechanism. The early warning system should integrate rule-based logical judgments, such as setting thresholds to determine the degree of harm of unqualified samples. When unqualified samples are found, the system will generate an early warning response signal to notify relevant operators. At the same time, the early warning information will be recorded and archived for subsequent analysis and improvement, and finally a cold rolling lubricant sample pre-inspection unqualified early warning response signal will be generated in response.

[0162] Step S44: Apply the cold rolling lubricant sample pre-inspection unqualified early warning response signal to the corresponding automatic control system on the cold rolling production line to perform sample improvement suggestion analysis on the corresponding pre-inspection unqualified cold rolling lubricant samples, and generate improvement strategy suggestion plans for the pre-inspection unqualified cold rolling lubricant samples to execute the corresponding cold rolling lubricant sample improvement strategy suggestion work.

[0163] In an embodiment of the present invention, after the unqualified warning response signal generated by the previous response is sent, the automatic control system will start the improvement suggestion analysis for the corresponding cold rolling lubricant sample. At this time, the system will collect the specific performance data of the unqualified samples, and compare and analyze them with the qualified samples. Through statistical analysis tools, such as SPSS or R language, the key factors affecting the performance of the lubricant, such as component ratio, production temperature, etc., are evaluated. Based on the analysis results, an improvement strategy suggestion plan for the unqualified samples will be generated, and the improvement measures to be taken will be clarified, such as adjusting the ingredients, optimizing the production process or improving the storage conditions, so as to ensure that the performance of the lubricant used in the subsequent production meets the expected standards, thereby generating a pre-inspection unqualified cold rolling lubricant sample improvement strategy suggestion plan, and finally executing the corresponding cold rolling lubricant sample improvement strategy suggestion work.

[0164] Furthermore, the present invention also provides a cold rolling lubricant pre-inspection system based on production analysis, which is used to execute the cold rolling lubricant pre-inspection method based on production analysis as described above, and the cold rolling lubricant pre-inspection system based on production analysis includes:

[0165] The sample chemical performance evaluation and analysis module is used to collect cold rolling lubricant samples on a cold rolling production line regularly, and perform ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant; based on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant, perform sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples to obtain the chemical performance index of the cold rolling lubricant samples;

[0166] The sample physical property evaluation and analysis module is used to use the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the viscosity of the cold rolling lubricant, the density of the cold rolling lubricant and the flash point of the cold rolling lubricant; based on the physical parameter data set of the cold rolling lubricant sample, the sample physical property evaluation and analysis of the corresponding cold rolling lubricant sample is performed to obtain the physical property index of the cold rolling lubricant sample;

[0167] The lubricant sample performance evaluation module is used to monitor the production process parameters of the cold rolling production process on the cold rolling production line in real time to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes the cold rolling production rolling speed, the cold rolling production rolling pressure and the cold rolling production rolling temperature; based on the cold rolling production process process parameter data set, the lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples, so as to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions;

[0168] The sample pre-inspection usage recommendation analysis module is used to perform sample production pre-inspection processing on the corresponding cold-rolling lubricant samples based on the corresponding sample performance score values ​​of the cold-rolling lubricants under different production process conditions, so as to obtain cold-rolling lubricant samples that pass the pre-inspection and cold-rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold-rolling lubricant samples that pass the pre-inspection and the cold-rolling lubricant samples that fail the pre-inspection, and a cold-rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold-rolling lubricant sample pre-inspection usage recommendation work.

[0169] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0170] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A cold rolling lubricant pre-inspection method based on production analysis, characterized in that: The following steps are involved: Step S1: regularly collecting cold rolling lubricant samples on a cold rolling production line and performing ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant; performing sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples based on the ultraviolet infrared spectrum of chemical composition of the cold rolling lubricant to obtain chemical performance indicators of the cold rolling lubricant samples; Step S2: using the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the cold rolling lubricant viscosity, the cold rolling lubricant density and the cold rolling lubricant flash point; based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed for sample physical properties to obtain the physical performance index of the cold rolling lubricant sample; Step S3: Real-time monitoring of production process parameters of the cold rolling production process on the cold rolling production line to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure, and a cold rolling production rolling temperature; Based on the cold rolling production process parameter data set, the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples were analyzed to obtain the sample performance scores of the cold rolling lubricant under different production process conditions; Step S4: performing sample production pre-inspection processing on the corresponding cold rolling lubricant samples based on the sample performance scores of the cold rolling lubricants under different production process conditions, so as to obtain cold rolling lubricant samples that pass the pre-inspection and cold rolling lubricant samples that fail the pre-inspection; Perform sample usage recommendation analysis on cold rolling lubricant samples that pass pre-inspection and cold rolling lubricant samples that fail pre-inspection, generate a cold rolling lubricant sample pre-inspection usage recommendation plan, and execute corresponding cold rolling lubricant sample pre-inspection usage recommendation work.

2. The cold rolling lubricant pre-inspection method based on production analysis according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: regularly collecting cold rolling lubricant samples on a cold rolling production line and systematically pre-treating the cold rolling lubricant samples to obtain a cold rolling lubricant pre-treatment sample library; Step S12: performing a spectral response test and calibration on the spectrometer based on a standard sample of cold rolling lubricant with known chemical composition to obtain a spectral accuracy calibration instrument; Step S13: using a spectral precision registration instrument to perform ultraviolet infrared spectrum analysis on the corresponding cold rolling lubricant samples in the cold rolling lubricant pretreatment sample library to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant; Step S14: performing spectral characteristic peak identification analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant to obtain the spectral characteristic peaks of the chemical composition of the cold rolling lubricant; performing chemical composition structure analysis on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant based on the spectral characteristic peaks of the chemical composition of the cold rolling lubricant to obtain chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample; performing chemical composition analysis and comparison analysis on the chemical composition structure data corresponding to different spectral characteristic peaks in the cold rolling lubricant sample according to a known cold rolling lubricant component database to obtain the main chemical components of the cold rolling lubricant sample; Step S15: Based on the main chemical components of the cold rolling lubricant samples, the chemical performance evaluation and analysis of the corresponding cold rolling lubricant samples are performed to obtain the chemical performance indicators of the cold rolling lubricant samples.

3. The cold rolling lubricant pre-inspection method based on production analysis according to claim 2 is characterized in that: Step S15 includes the following steps: Step S151: using gas chromatography-mass spectrometry to perform quantitative chemical component analysis on the main chemical components of the cold rolling lubricant sample to obtain quantitative component data corresponding to the chemical components of each cold rolling lubricant sample; Step S152: performing a qualitative analysis of chemical properties of the main chemical components of the cold rolling lubricant samples to obtain chemical property data corresponding to the chemical components of each cold rolling lubricant sample; Step S153: Based on the quantitative data of the components corresponding to the chemical composition of each cold rolling lubricant sample and the chemical property data, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the chemical performance indicators of the cold rolling lubricant sample, wherein the chemical performance indicators of the cold rolling lubricant sample include antioxidant performance indicators, anti-foaming performance indicators, anti-emulsification performance indicators and corrosion performance indicators.

4. The cold rolling lubricant pre-inspection method based on production analysis according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: using the ultrasonic viscosity sensor built into the cold rolling production line to monitor the viscosity of the corresponding cold rolling lubricant sample in real time to obtain the viscosity of the cold rolling lubricant; Step S22: using a densitometer built into the cold rolling production line to monitor the density of the corresponding cold rolling lubricant sample in real time to obtain the density of the cold rolling lubricant; Step S23: using a built-in flash point tester on the cold rolling production line to monitor the flash point of the corresponding cold rolling lubricant sample in real time to obtain the flash point of the cold rolling lubricant; Step S24: pre-processing and merging the cold rolling lubricant viscosity, cold rolling lubricant density and cold rolling lubricant flash point to obtain a cold rolling lubricant sample physical parameter data set; Step S25: Based on the cold rolling lubricant sample physical parameter data set, the corresponding cold rolling lubricant sample is evaluated and analyzed to obtain the physical performance index of the cold rolling lubricant sample.

5. The cold rolling lubricant pre-inspection method based on production analysis according to claim 4 is characterized in that: Step S25 includes the following steps: Step S251: performing friction load performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the cold rolling lubricant viscosity and cold rolling lubricant density in the cold rolling lubricant sample physical parameter data set to obtain the cold rolling lubricant fluidity friction load performance index; Step S252: obtaining the cold rolling flow pressure corresponding to the cold rolling lubricant sample on the cold rolling production line, and performing sample viscosity-pressure performance evaluation and analysis on the viscosity of the cold rolling lubricant based on the cold rolling flow pressure to obtain a viscosity-pressure performance index of the cold rolling lubricant; Step S253: performing flash point safety performance evaluation and analysis on the corresponding cold rolling lubricant sample based on the flash point of the cold rolling lubricant in the physical parameter data set of the cold rolling lubricant sample to obtain a flash point safety performance index of the cold rolling lubricant; Step S254: combining the cold rolling lubricant fluidity friction load performance index, the cold rolling lubricant viscosity pressure performance index and the cold rolling lubricant flash point safety performance index to obtain the cold rolling lubricant sample physical performance index.

6. The cold rolling lubricant pre-inspection method based on production analysis according to claim 5 is characterized in that: Step S251 includes the following steps: The relative dynamic viscosity of the cold rolling lubricant sample on the cold rolling production line is obtained through the cold rolling lubricant viscosity in the physical parameter data set of the cold rolling lubricant sample, and the kinematic viscosity ratio of the relative dynamic viscosity is calculated based on the cold rolling lubricant density to obtain the kinematic viscosity of the cold rolling lubricant sample; Perform sample flow simulation analysis on the corresponding cold rolling lubricant samples on the cold rolling production line to generate a cold rolling lubricant sample flow simulation field; Based on the flow simulation field of the cold rolling lubricant sample, the sample fluidity evaluation analysis of the corresponding cold rolling lubricant sample is performed to obtain the fluidity evaluation factor of the cold rolling lubricant sample; Based on the kinematic viscosity of the cold rolling lubricant sample, the sample flow friction load between the cold rolling lubricant sample and the friction surface on the cold rolling production line is measured and calculated to obtain the fluid flow friction load between the cold rolling lubricant sample and the friction surface; Based on the fluidity evaluation factor of the cold rolling lubricant sample, the friction load performance evaluation and analysis of the fluid flow friction load between the cold rolling lubricant sample and the friction surface was carried out to obtain the fluidity friction load performance index of the cold rolling lubricant.

7. The cold rolling lubricant pre-inspection method based on production analysis according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: Designing a production rolling parameter monitoring network for the cold rolling production process on the cold rolling production line using a speed sensor, a pressure sensor, and a temperature sensor, so as to obtain a cold rolling production process rolling parameter monitoring network architecture; Step S32: Based on the speed sensor, pressure sensor and temperature sensor in the cold rolling production process rolling parameter monitoring network architecture, the cold rolling production process on the cold rolling production line is monitored in real time for production process parameters to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes a cold rolling production rolling speed, a cold rolling production rolling pressure and a cold rolling production rolling temperature; Step S33: Designing production process conditions for the cold rolling production process process parameter data set to generate different cold rolling production process process parameter conditions; Step S34: Based on different process parameter conditions of the cold rolling production process, the chemical performance indexes of the cold rolling lubricant samples and the physical performance indexes of the cold rolling lubricant samples are evaluated and analyzed for the impact of process condition performance changes, so as to obtain the chemical performance change impact correlation factors and physical performance change impact correlation factors corresponding to the cold rolling lubricant under different production process conditions; Step S35: Based on the chemical property change influencing correlation factors and physical property change influencing correlation factors of the cold rolling lubricant under different production process conditions, the lubricant performance score is calculated for the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples using the sample performance score calculation formula to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions.

8. The cold rolling lubricant pre-inspection method based on production analysis according to claim 7 is characterized in that: The sample performance score calculation formula described in step S35 is specifically: In the formula, S j is the sample performance score of the cold rolling lubricant under the jth production process condition, m is the total number of production process conditions, j is the item index parameter of the production process conditions, n is the total number of chemical performance indicators, i is the item index parameter of the chemical performance indicators, C i is the specific value corresponding to the lth chemical performance index, α i is the chemical performance change impact correlation factor corresponding to the lth chemical performance index, a i is the weight coefficient corresponding to the i-th chemical performance index, exp is the exponential function, T i is the temperature corresponding to the i-th chemical performance index in the production process, β i is the temperature attenuation coefficient corresponding to the i-th chemical performance index, D ij is the correlation between the i-th chemical performance index and the j-th production process condition, γ j is the chemical influencing factor related to the jth production process condition, p is the total number of physical performance indicators, k is the item index parameter of the physical performance indicators, P k is the specific value corresponding to the kth physical performance index, δ is the physical performance change influence correlation factor corresponding to the kth physical performance index, w k is the weight coefficient corresponding to the kth physical performance index, V k is the pressure value corresponding to the kth physical performance index in the production process, τ k is the pressure attenuation coefficient corresponding to the kth physical performance index, F kj is the correlation between the kth physical performance index and the jth production process condition, is the physical influencing factor related to the jth production process condition, and η is the correction coefficient of the sample performance score.

9. The cold rolling lubricant pre-inspection method based on production analysis according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: Preliminary inspection and comparison of the sample performance scores of the cold rolling lubricant under different production process conditions is performed according to a preset sample performance score threshold. If the corresponding sample performance score is greater than or equal to the preset sample performance score threshold, the corresponding cold rolling lubricant sample is preliminarily judged as a qualified cold rolling lubricant sample; if the corresponding sample performance score is less than the preset sample performance score threshold, the corresponding cold rolling lubricant sample is preliminarily judged as an unqualified cold rolling lubricant sample; Step S42: performing sample continued use recommendation analysis on the pre-inspected qualified cold rolling lubricant samples, generating a continued use recommendation plan for the pre-inspected qualified cold rolling lubricant samples, and executing corresponding continued use recommendation work for the cold rolling lubricant samples; Step S43: performing sample abnormality warning processing on the cold rolling lubricant sample that fails the pre-inspection, so as to generate a cold rolling lubricant sample pre-inspection failure warning response signal; Step S44: Apply the cold rolling lubricant sample pre-inspection unqualified early warning response signal to the corresponding automatic control system on the cold rolling production line to perform sample improvement suggestion analysis on the corresponding pre-inspection unqualified cold rolling lubricant samples, and generate improvement strategy suggestion plans for the pre-inspection unqualified cold rolling lubricant samples to execute the corresponding cold rolling lubricant sample improvement strategy suggestion work.

10. A cold rolling lubricant pre-inspection system based on production analysis, characterized in that: For executing the cold rolling lubricant pre-inspection method based on production analysis as claimed in claim 1, the cold rolling lubricant pre-inspection system based on production analysis comprises: The sample chemical performance evaluation and analysis module is used to collect cold rolling lubricant samples on a cold rolling production line regularly, and perform ultraviolet infrared spectrum analysis on the cold rolling lubricant samples to obtain the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant; based on the ultraviolet infrared spectrum of the chemical composition of the cold rolling lubricant, perform sample chemical performance evaluation and analysis on the corresponding cold rolling lubricant samples to obtain the chemical performance index of the cold rolling lubricant samples; The sample physical property evaluation and analysis module is used to use the built-in online monitoring sensor on the cold rolling production line to monitor the physical parameter data set of the cold rolling lubricant sample in real time, wherein the physical parameter data set of the cold rolling lubricant sample includes the viscosity of the cold rolling lubricant, the density of the cold rolling lubricant and the flash point of the cold rolling lubricant; based on the physical parameter data set of the cold rolling lubricant sample, the sample physical property evaluation and analysis of the corresponding cold rolling lubricant sample is performed to obtain the physical property index of the cold rolling lubricant sample; The lubricant sample performance evaluation module is used to monitor the production process parameters of the cold rolling production process on the cold rolling production line in real time to obtain a cold rolling production process process parameter data set, wherein the cold rolling production process process parameter data set includes the cold rolling production rolling speed, the cold rolling production rolling pressure and the cold rolling production rolling temperature; based on the cold rolling production process process parameter data set, the lubricant performance analysis is performed on the chemical performance indicators of the cold rolling lubricant samples and the physical performance indicators of the cold rolling lubricant samples, so as to obtain the sample performance score values ​​corresponding to the cold rolling lubricant under different production process conditions; The sample pre-inspection usage recommendation analysis module is used to perform sample production pre-inspection processing on the corresponding cold rolling lubricant samples based on the corresponding sample performance score values ​​of the cold rolling lubricants under different production process conditions, so as to obtain cold rolling lubricant samples that pass the pre-inspection and cold rolling lubricant samples that fail the pre-inspection; sample usage recommendation analysis is performed on the cold rolling lubricant samples that pass the pre-inspection and the cold rolling lubricant samples that fail the pre-inspection, and a cold rolling lubricant sample pre-inspection usage recommendation plan is generated to execute the corresponding cold rolling lubricant sample pre-inspection usage recommendation work.

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