Peanut oil squeezing and blending intelligent control system based on PLC control

Abstract

The invention relates to the technical field of intelligent control, in particular to an intelligent control system for squeezing and blending peanut oil based on PLC control, which comprises a data initialization module, a preprocessing regulation and control module, a squeezing self-adaptive control module, a quality analysis module, an intelligent oil blending formula decision module and an oil blending execution and output module, carrying out temperature and humidity adjustment on the attribute parameters of the target product to obtain a target raw material; monitoring the squeezing pressure and the squeezing temperature of the target raw material, and performing self-adaptive regulation and control on a main pressure valve and an auxiliary heating link of the data control terminal to obtain squeezed crude oil; filtering and settling the squeezed crude oil, and detecting and analyzing the settled clear crude oil to obtain acid value and peroxide value indexes; carrying out dynamic formula adjustment on acid value and peroxide value indexes to obtain a real-time blending scheme; the auxiliary materials and the crude oil are mixed and output, so that squeezing and blending control over a target product is completed; the intelligent control efficiency of squeezing and blending the peanut oil can be improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to an intelligent control system for peanut oil pressing and blending based on PLC control. Background Technology

[0002] In the traditional peanut oil pressing and blending process, the temperature and humidity control during the raw material pretreatment stage lacks a precise matching mechanism with the initial state data of the raw materials. It relies heavily on fixed parameters or manual experience, making it difficult to dynamically adjust control strategies based on batch differences in raw materials and changes in storage environment. This results in poor consistency of the property parameters after raw material pretreatment, creating potential problems for stable operation in subsequent pressing stages and directly affecting the basic quality and oil yield of the pressed crude oil. Simultaneously, the control of pressure and temperature during pressing lacks real-time adaptive feedback adjustment capabilities, failing to respond promptly to dynamic changes in raw material characteristic parameters. This easily causes process parameters to deviate from the ideal range, leading to problems such as insufficient crude oil extraction or quality fluctuations.

[0003] Existing technologies have significant shortcomings in crude oil quality testing and blending formula optimization. The testing processes for key quality indicators such as acid value and peroxide value of crude oil are lagging, and the test results cannot provide timely data support for the blending process. Furthermore, blending formulas are mostly set with fixed proportions, failing to dynamically adjust based on real-time quality indicators and the characteristics of auxiliary oils, resulting in the blended finished oil failing to consistently meet preset standards. In addition, poor data transmission and coordination across production stages, and the lack of a unified intelligent control terminal for overall management, lead to low overall production process control efficiency, making it difficult to balance the needs of consistent product quality and large-scale production. Summary of the Invention

[0004] To achieve the above objectives, this invention provides a PLC-based intelligent control system for peanut oil pressing and blending, characterized in that the system includes a data initialization module, a preprocessing and control module, a pressing adaptive control module, a quality analysis module, an intelligent blending formula decision-making module, and a blending execution and output module, wherein: The data initialization module is used to upload the initial state data of the target product to the data control terminal. The preprocessing control module is used to adjust the temperature and humidity of the target product's property parameters based on the initial state data to obtain the target raw material of the target product. The pressing adaptive control module is used to monitor the pressing pressure and pressing temperature of the target raw material in the data control terminal, and adaptively adjust the main pressure valve and auxiliary heating link of the data control terminal in combination with the characteristic parameters of the target raw material, so as to obtain the pressed crude oil of the target product. The quality analysis module is used to filter and settle the pressed crude oil, and to test and analyze the settled crude oil to obtain the acid value and peroxide value of the target product. The intelligent blending formula decision module is used to dynamically adjust the acid value and peroxide value indicators based on the preset standard finished oil indicators and auxiliary oil characteristic database in the target product, so as to obtain the real-time blending scheme of the target product. The oil blending execution and output module is used to mix and output the auxiliary materials of the target product with the crude oil according to the real-time blending scheme, so as to complete the pressing and blending control of the target product.

[0005] In a preferred embodiment, when the data initialization module uploads the initial state data of the target product to the data control terminal, it is specifically used for: Real-time acquisition of batch identification signals and storage environment monitoring signals of target peanut raw materials; The batch identification signal and the storage environment monitoring signal are analyzed to obtain the raw material status data packet of the target product; The raw material status data packet is encapsulated in a standard frame format, and the encapsulated data is uploaded to the data control terminal of the target product.

[0006] In a preferred embodiment, when the preprocessing control module performs temperature and humidity adjustment on the property parameters of the target product based on the initial state data to obtain the target raw material of the target product, it is specifically used for: In the data control terminal, the initial state data is processed to obtain the temperature and humidity parameters of the initial state data. The temperature parameter and the humidity parameter are range-corrected with the standard threshold of the target product to obtain the temperature control command and humidity control command of the initial state data; According to the temperature control command, the heating and cooling equipment in the data control terminal are scheduled to coordinate and adjust the temperature parameters. According to the humidity control command, the humidity adjustment device in the data control terminal is controlled to adjust the humidity parameters in a coordinated manner; During the adjustment of temperature and humidity parameters, the temperature and humidity parameters are monitored in real time, and raw materials that meet the threshold range of the standard threshold are used as the target raw materials for the target product.

[0007] In a preferred embodiment, when the pressing adaptive control module monitors the pressing pressure and pressing temperature of the target raw material in the data control terminal, and adaptively adjusts the main pressure valve and auxiliary heating circuit of the data control terminal in conjunction with the characteristic parameters of the target raw material to obtain the pressed crude oil of the target product, it is specifically used for: Within the data control terminal, the real-time pressing pressure parameters, real-time pressing temperature parameters, and characteristic parameters of the target raw material are fused and analyzed to obtain process state evaluation data of the target raw material. The process status assessment data is compared with the preset pressing process curve to obtain the comparison result of the process status assessment data. Based on the direction and degree of deviation in the comparison results, pressure compensation commands and temperature compensation commands are generated in the data control terminal. The pressure compensation command and the temperature compensation command are responded to synchronously to obtain the reasonable temperature and humidity range of the target raw material; Based on the reasonable temperature and humidity range and the data control terminal, the target raw material is pressed to extract oil, thereby obtaining the crude oil of the target product.

[0008] In a preferred embodiment, when the pressing adaptive control module performs a deviation comparison between the process state evaluation data and a preset pressing process curve to obtain the comparison result of the process state evaluation data, it is specifically used for: From the process database of the data control terminal, retrieve the pressing process curve associated with the characteristic parameters of the target raw material; By projecting the real-time pressing pressure parameters and real-time pressing temperature parameters in the process status assessment data into coordinate space, the temperature and humidity coordinate points of the process status assessment data are obtained. Map the temperature and humidity coordinate points onto the pressing process curve; Calculate the numerical deviation between the temperature and humidity coordinate points and the ideal coordinate points at the corresponding time points on the pressing process curve to obtain the comprehensive deviation value of the process state evaluation data; Based on the comprehensive deviation value and the tolerance range defined by the pressing process curve, the deviation type of the target product in the current pressing state is determined. The comprehensive deviation value and the deviation type are integrated into a comparison result of the process status assessment data.

[0009] In a preferred embodiment, the formula for calculating the comprehensive deviation value is as follows: ; In the formula, The comprehensive deviation value is... The feature parameter adjustment factor in the process database. The pressure difference value is the process status assessment data. The preset temperature deviation weighting coefficient, The temperature difference value is the process status assessment data.

[0010] In a preferred embodiment, when the quality analysis module performs filtration and sedimentation of the pressed crude oil and analyzes the purified crude oil after sedimentation to obtain the acid value and peroxide value of the target product, it is specifically used for: The pressed crude oil is transported to the pretreatment tank of the data control terminal for a constant temperature settling process; During the isothermal sedimentation process, turbidity sensor signals and liquid level sensor signals at the bottom of the pretreatment tank are periodically collected to obtain sedimentation process status data of the target product. When the sedimentation process status data meets the preset clear oil layer determination conditions, the clear oil layer extracted in the pretreatment tank will be used as the sedimented clear oil of the pressed crude oil. The detection process is controlled by the data control terminal to perform acid value titration analysis and peroxide value spectral analysis on the settled crude oil in order to obtain the detection signal data of the detection process. Based on the preset calibration curve, the detection signal data is deconstructed and evaluated to obtain the acid value and peroxide value of the target product.

[0011] In a preferred embodiment, the peroxide value index is calculated using the following formula: ; In the formula, The peroxide value index is mentioned above. The absorbance value is obtained from the oxidation value spectral analysis. The stability coefficient is the normalized standard deviation of the turbidity sensing signal near the end of the isothermal sedimentation process. The conversion coefficient between absorbance and peroxide value determined by the calibration curve. The preset stability adjustment weight coefficients, This is the preset settlement rate compensation coefficient. The sedimentation gradient detected in the liquid level sensing signal. It is the natural logarithm function.

[0012] In a preferred embodiment, when the intelligent blending formula decision module performs dynamic formula adjustments on the acid value and peroxide value indicators based on a preset database of standard finished oil indicators and auxiliary oil characteristics in the target product, and obtains a real-time blending scheme for the target product, it is specifically used for: Extract the upper limit standard values ​​of acid value and peroxide value from the standard refined oil index data in the data control terminal; The data control terminal reads information from the auxiliary oil characteristic database to obtain data on the types, acid value ranges, and peroxide value ranges of available auxiliary oils in the database. The acid value index is correlated and compared with the upper limit standard value of acid value, and the peroxide value index is correlated and compared with the upper limit standard value of peroxide value to obtain the acid value deviation state and peroxide value deviation state of the target product. Based on the acid value deviation state and the oxidation value deviation state, and combined with the acid value range and peroxide value range data of the available auxiliary oils, the target auxiliary oil and theoretical addition ratio range of the target product are matched in the formula logic strategy library of the data control terminal. Based on the data control terminal, the theoretical addition ratio range of the target auxiliary oil is integrated to obtain a preliminary blending strategy for the target product. The logical consistency of the preliminary reconciliation strategy is verified, and the scheme that passes the verification is output as the real-time reconciliation scheme of the target product.

[0013] In a preferred embodiment, when the oil blending execution and output module executes the real-time blending scheme to mix and output the auxiliary materials of the target product with the crude oil to complete the pressing and blending control of the target product, it is specifically used for: In the data control terminal, the real-time reconciliation scheme is parsed to obtain the reconciliation execution instruction set of the target product; According to the harmonic execution instruction set, the operating parameters of the relevant devices in the data control terminal are synchronously adjusted to achieve accurate response of the harmonic execution instruction set; After the blending execution instruction set response is completed, the target product is transported to the forced homogenization mixing stage through the data control terminal, and the blended target product is output to complete the pressing and blending control of the target product.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention uses a data initialization module to accurately collect and upload batch identification data of raw materials and relevant data on the storage environment, providing a reliable data foundation for subsequent processing; a preprocessing control module uses initial state data to precisely adjust the temperature and humidity of raw material attribute parameters, ensuring that the attribute parameters of the target raw materials meet standard thresholds and guaranteeing the consistency of raw material quality; a pressing adaptive control module integrates and analyzes pressing pressure, temperature, and raw material characteristic parameters in real time, and achieves dynamic optimization of pressing process parameters through deviation comparison and compensation control, effectively improving the extraction efficiency and basic quality of crude oil, and enhancing the stability and accuracy of the pressing process.

[0015] 2. This invention utilizes a quality analysis module with constant-temperature sedimentation and precise detection technology to efficiently obtain the acid value and peroxide value of crude oil, providing accurate data support for the blending process. The intelligent blending formula decision module combines standard finished oil indicators with a database of auxiliary oil characteristics to dynamically adjust the formula based on quality indicators, generating a scientifically sound real-time blending plan. The blending execution and output module precisely responds to blending commands, ensuring full integration of auxiliary materials and crude oil through forced homogenization, significantly improving the quality stability and compliance rate of the finished oil. Overall, this invention achieves intelligent and efficient control of the entire peanut oil pressing and blending process, greatly improving production control efficiency and product quality reliability. Attached Figure Description

[0016] Figure 1 This is a system architecture diagram of a PLC-based intelligent control system for peanut oil pressing and blending, provided in one embodiment of the present invention. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments belong to some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “said” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms, and “multiple” generally includes at least two unless the context clearly indicates otherwise.

[0019] Depending on the context, the word "if" or "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0020] Furthermore, the timing of the steps in the following method embodiments is merely an example and not a strict limitation.

[0021] In practice, the server-side equipment deployed in a PLC-controlled intelligent peanut oil pressing and blending control system may consist of one or more devices. This PLC-controlled intelligent peanut oil pressing and blending control system can be implemented as: a business instance, a virtual machine, and hardware devices. For example, this PLC-controlled intelligent peanut oil pressing and blending control system can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, this PLC-controlled intelligent peanut oil pressing and blending control system can be understood as software deployed on a cloud node, used to provide each user terminal with a PLC-controlled intelligent peanut oil pressing and blending control system. Alternatively, this PLC-controlled intelligent peanut oil pressing and blending control system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. This virtual machine contains application software for managing each user terminal. Alternatively, this PLC-controlled intelligent peanut oil pressing and blending control system can also be implemented as a server composed of numerous identical or different types of hardware devices, with one or more hardware devices configured to provide each user terminal with a PLC-controlled intelligent peanut oil pressing and blending control system.

[0022] In terms of implementation, the PLC-based intelligent control system for peanut oil pressing and blending and the user terminal are mutually compatible. Specifically, if the PLC-based intelligent control system for peanut oil pressing and blending is implemented as an application installed on a cloud service platform, the user terminal acts as a client establishing a communication connection with that application; or if the PLC-based intelligent control system for peanut oil pressing and blending is implemented as a website, the user terminal acts as a webpage; or if the PLC-based intelligent control system for peanut oil pressing and blending is implemented as a cloud service platform, the user terminal acts as a mini-program within an instant messaging application.

[0023] like Figure 1 The diagram shown is a system architecture diagram of a PLC-based intelligent control system for peanut oil pressing and blending, provided by an embodiment of the present invention.

[0024] The intelligent control system 100 for peanut oil pressing and blending based on PLC control described in this invention can be installed on a cloud server. In terms of implementation, it can function as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed into a website. Depending on the functions implemented, the intelligent control system 100 for peanut oil pressing and blending based on PLC control may include a data initialization module 101, a preprocessing control module 102, a pressing adaptive control module 103, a quality analysis module 104, an intelligent blending formula decision module 105, and a blending execution and output module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device's processor and perform a fixed function, stored in the electronic device's memory.

[0025] In this embodiment of the invention, a PLC-controlled intelligent control system for peanut oil pressing and blending allows each module to be implemented independently and called upon other modules. This "calling" can be understood as a module connecting to multiple modules of another type and providing corresponding services to those connected modules. This embodiment of the invention provides a PLC-controlled intelligent control system for peanut oil pressing and blending that allows for adjustments to the applicable scope of the system architecture without modifying the program code. This enables cluster-based horizontal expansion, facilitating quick and flexible expansion of the PLC-controlled intelligent control system. In practical applications, these modules can be located in the same or different devices, or in virtual devices, such as service instances on a cloud server.

[0026] The following describes, with reference to specific embodiments, each component and its specific workflow of a PLC-based intelligent control system for peanut oil pressing and blending: The data initialization module 101 is used to upload the initial state data of the target product to the data control terminal. In this embodiment of the invention, when the data initialization module uploads the initial state data of the target product to the data control terminal, it is specifically used for: Real-time acquisition of batch identification signals and storage environment monitoring signals of target peanut raw materials; The batch identification signal and the storage environment monitoring signal are analyzed to obtain the raw material status data packet of the target product; The raw material status data packet is encapsulated in a standard frame format, and the encapsulated data is uploaded to the data control terminal of the target product.

[0027] The data initialization module establishes a real-time connection with the batch identification carrier recognition device and the storage environment monitoring sensor device for the target peanut raw materials. The batch identification carrier recognition device identifies and reads the batch identification labels on the peanut raw material packaging, converts the read batch-related information into corresponding batch identification signals, and transmits them to the data initialization module. The storage environment monitoring sensor device is distributed at various monitoring points in the peanut raw material storage area, continuously capturing environmental information such as temperature and humidity, ventilation operation, and space cleanliness in the storage area. It converts the captured environmental information into corresponding storage environment monitoring signals and transmits them to the data initialization module in real time. Both signals are received synchronously by the data initialization module and temporarily stored in the signal buffer area inside the module.

[0028] The data initialization module calls the built-in raw material information parsing rules. First, it matches the temporarily stored batch identifier signals with the preset peanut raw material basic information database one by one to extract the variety information, planting location information, harvest time information, and processing pretreatment information of the batch of peanut raw materials. Then, it classifies and restores the temporarily stored storage environment monitoring signals according to signal type, and converts them into corresponding storage temperature and humidity status descriptions, ventilation system operation status descriptions, and storage space cleanliness level descriptions. Subsequently, it associates and integrates the extracted batch basic information with the restored storage environment status descriptions, so that each piece of batch basic information corresponds to a matching storage environment status description. The final set of associated and integrated information is the raw material status data package of the target product.

[0029] The data initialization module retrieves a preset standard frame format template, which consists of three fixed components: a frame header, a data field, and a frame trailer. The module first fills the frame header with the target product data control terminal's unique identification code, then fills the data field with all the information from the complete raw material status data packet, and finally fills the frame trailer with a fixed identifier for data verification. After filling, the data is assembled in a fixed order: frame header first, data field in the center, and frame trailer last, forming encapsulated data conforming to the standard frame format. The data initialization module then initiates a communication connection request with the target product data control terminal. Upon receiving the connection response from the data control terminal, a point-to-point dedicated communication link is established. Through this communication link, the encapsulated data is continuously transmitted to the target product data control terminal. Upon receiving the encapsulated data, the data control terminal confirms the data source as the corresponding data initialization module based on the unique identification code in the frame header, and then performs data integrity verification based on the fixed identifier in the frame trailer. If the verification is successful, the raw material status data packet corresponding to the encapsulated data is stored in a designated data area within the terminal.

[0030] The beneficial effects include enabling the data initialization module to accurately acquire batch identification signals and storage environment monitoring signals of the target peanut raw materials. By effectively parsing these two types of signals, a complete target product raw material status data packet is formed. After being encapsulated in a standard frame format, the packet is stably uploaded to the target product's data control terminal, ensuring the real-time integrity and standardization of the target product's raw material-related data. This allows the data control terminal to accurately receive and store the corresponding raw material status information, providing reliable and accurate data support for the subsequent full-process management of the target product.

[0031] The preprocessing control module 102 is used to adjust the temperature and humidity of the target product's property parameters based on the initial state data to obtain the target raw material of the target product. In this embodiment of the invention, when the preprocessing control module performs temperature and humidity adjustment on the property parameters of the target product based on the initial state data to obtain the target raw material of the target product, it is specifically used for: In the data control terminal, the initial state data is processed to obtain the temperature and humidity parameters of the initial state data. The temperature parameter and the humidity parameter are range-corrected with the standard threshold of the target product to obtain the temperature control command and humidity control command of the initial state data; According to the temperature control command, the heating and cooling equipment in the data control terminal are scheduled to coordinate and adjust the temperature parameters. According to the humidity control command, the humidity adjustment device in the data control terminal is controlled to adjust the humidity parameters in a coordinated manner; During the adjustment of temperature and humidity parameters, the temperature and humidity parameters are monitored in real time, and raw materials that meet the threshold range of the standard threshold are used as the target raw materials for the target product.

[0032] The preprocessing and control module first performs data structure parsing on the initial state data in the data control terminal. By retrieving the preset data structure parsing rules, it breaks down the information components of the initial state data layer by layer, filters out the information content related to temperature and humidity, and extracts the temperature and humidity parameters of the initial state data respectively.

[0033] The system retrieves the corresponding temperature and humidity standard thresholds for the target product and stores them in the temporary cache area of ​​the data control terminal. The extracted temperature parameters are compared one by one with the temperature standard thresholds to determine if they fall within the specified range. Based on the comparison results, a corresponding temperature control command is generated. Simultaneously, the extracted humidity parameters are compared one by one with the humidity standard thresholds to determine if they fall within the specified range. Based on the comparison results, a corresponding humidity control command is generated. The data control terminal sends corresponding start signals and operating parameter commands to the heating and cooling equipment according to the control direction and requirements in the temperature control commands. When the temperature parameter is lower than the temperature standard threshold, the heating equipment is started and controlled to operate continuously at the set power. When the temperature parameter is higher than the temperature standard threshold, the cooling equipment is started and controlled to operate continuously at the set power. Through the coordinated start / stop and power adjustment of the heating and cooling equipment, the processed temperature parameters are gradually adjusted.

[0034] According to the control requirements in the humidity control command, the data control terminal sends corresponding operating signals to the humidification and dehumidification equipment. When the humidity parameter is lower than the humidity standard threshold, the humidification equipment is activated, and the water is converted into water mist through the atomization component inside the equipment and released into the environment where the target product is located. When the humidity parameter is higher than the humidity standard threshold, the dehumidification equipment is activated, and the water vapor in the environment where the target product is located is adsorbed through the adsorption component inside the equipment. With the coordinated work of the humidification and dehumidification equipment, the humidity parameter is gradually adjusted.

[0035] During the adjustment of temperature and humidity parameters, the data control terminal continuously receives real-time detection signals from temperature and humidity sensors deployed in the environment where the target product is located. The detection signals are converted into corresponding real-time temperature and humidity parameters. At fixed intervals, the real-time temperature parameters are compared with the temperature standard threshold and the real-time humidity parameters are compared with the humidity standard threshold. When the real-time temperature and humidity parameters are both stable within the corresponding standard threshold range, the operation of all heating and cooling equipment and humidity control equipment is stopped. At this time, the corresponding raw material is the target raw material of the target product.

[0036] The beneficial effects include the ability to accurately analyze the initial state data of the target product, accurately obtain temperature and humidity parameters, generate targeted temperature and humidity control commands through range correction with standard thresholds, drive relevant equipment to coordinate the adjustment of temperature and humidity parameters, and ensure that the parameters are stable and meet the standard thresholds through real-time detection. Ultimately, the target raw materials for the target product are obtained efficiently, ensuring the compliance and stability of the target raw material attribute parameters, and providing high-quality basic raw material support for the subsequent processing of the target product.

[0037] The pressing adaptive control module 103 is used to monitor the pressing pressure and pressing temperature of the target raw material in the data control terminal, and adaptively adjust the main pressure valve and auxiliary heating link of the data control terminal in combination with the characteristic parameters of the target raw material, so as to obtain the pressed crude oil of the target product. In this embodiment of the invention, when the pressing adaptive control module monitors the pressing pressure and pressing temperature of the target raw material in the data control terminal, and adaptively adjusts the main pressure valve and auxiliary heating circuit of the data control terminal in conjunction with the characteristic parameters of the target raw material to obtain the pressed crude oil of the target product, it is specifically used for: Within the data control terminal, the real-time pressing pressure parameters, real-time pressing temperature parameters, and characteristic parameters of the target raw material are fused and analyzed to obtain process state evaluation data of the target raw material. The process status assessment data is compared with the preset pressing process curve to obtain the comparison result of the process status assessment data. Based on the direction and degree of deviation in the comparison results, pressure compensation commands and temperature compensation commands are generated in the data control terminal. The pressure compensation command and the temperature compensation command are responded to synchronously to obtain the reasonable temperature and humidity range of the target raw material; Based on the reasonable temperature and humidity range and the data control terminal, the target raw material is pressed to extract oil, thereby obtaining the crude oil of the target product.

[0038] When the pressing adaptive control module performs a deviation comparison between the process state evaluation data and a preset pressing process curve to obtain the comparison result of the process state evaluation data, it is specifically used for: From the process database of the data control terminal, retrieve the pressing process curve associated with the characteristic parameters of the target raw material; By projecting the real-time pressing pressure parameters and real-time pressing temperature parameters in the process status assessment data into coordinate space, the temperature and humidity coordinate points of the process status assessment data are obtained. Map the temperature and humidity coordinate points onto the pressing process curve; Calculate the numerical deviation between the temperature and humidity coordinate points and the ideal coordinate points at the corresponding time points on the pressing process curve to obtain the comprehensive deviation value of the process state evaluation data; Based on the comprehensive deviation value and the tolerance range defined by the pressing process curve, the deviation type of the target product in the current pressing state is determined. The comprehensive deviation value and the deviation type are integrated into a comparison result of the process status assessment data.

[0039] The formula for calculating the comprehensive deviation value is as follows: ; In the formula, The comprehensive deviation value is... The feature parameter adjustment factor in the process database. The pressure difference value is the process status assessment data. The preset temperature deviation weighting coefficient, The temperature difference value is the process status assessment data.

[0040] The characteristic parameter adjustment factors in the process database are taken from the corresponding characteristic parameter adjustment values ​​stored in the process database. The pressure difference in the process status assessment data is taken from the pressure-related difference calculation results in the process status assessment data. The preset temperature deviation weighting coefficient is a pre-set value used to adjust the degree of influence of temperature deviation in the overall deviation.

[0041] The temperature difference in the process status assessment data is derived from the temperature-related difference calculation results in the process status assessment data. The comprehensive deviation value is the result obtained by integrating the corresponding values ​​and various set values ​​and performing calculations. The calculation is performed by combining the characteristic parameter adjustment factor in the process database, the pressure difference in the process status assessment data, the preset temperature deviation weighting coefficient, and the temperature difference in the process status assessment data. First, the temperature difference in the process status assessment data is squared and multiplied by the preset temperature deviation weighting coefficient. Then, the result is summed with the square of the pressure difference in the process status assessment data. The square root of the summation result is then taken. Finally, the square root result is multiplied by the characteristic parameter adjustment factor in the process database to obtain the comprehensive deviation value.

[0042] This calculation process enables a comprehensive quantitative representation of pressure and temperature differences in process status assessment data. The introduction of characteristic parameter adjustment factors in the process database allows for adjustment of the overall magnitude of the comprehensive deviation value based on the actual conditions of the process database. The preset temperature deviation weighting coefficient allows for adjustment of the proportion of influence of the temperature difference in the comprehensive deviation value. The comprehensive deviation value clearly presents the combined effect of deviations in both the pressure and temperature dimensions of the process status assessment data.

[0043] The pressing adaptive control module retrieves the characteristic parameters of the target raw material from the data control terminal. These characteristic parameters include information such as the target raw material variety, moisture content, and particle fullness, which are pre-stored in the terminal database. At the same time, it receives real-time pressing pressure and temperature parameters transmitted from the pressure detection and temperature detection devices deployed on the pressing equipment. The three types of information are bound one-to-one according to the time nodes of the pressing process. Based on the basic understanding of raw material pressing, the module performs correlation and matching analysis between the raw material's pressure state reflected by the real-time pressing pressure parameters and the raw material's heating state reflected by the real-time pressing temperature parameters and the inherent properties of the raw material reflected by the characteristic parameters. This analysis clarifies the comprehensive state of the raw material during the pressing process, and the final comprehensive state information set is the process state evaluation data of the target raw material.

[0044] The pressing adaptive control module retrieves a preset pressing process curve from the process parameter library of the data control terminal. This pressing process curve is pre-set according to the high-quality output standard of the target product, crude oil, and covers the standard pressure and temperature ranges corresponding to different stages of the raw material pressing process. The module maps the real-time pressure and temperature states included in the process status assessment data point by point to the standard states of the same stage on the pressing process curve, and judges whether the real-time state is higher, lower, or in line with the standard state. At the same time, it clarifies the differences between the real-time state and the standard state. The final judgment result and the summary of the differences are the comparison results of the process status assessment data.

[0045] The pressing adaptive control module generates corresponding pressure compensation and temperature compensation commands based on the direction and degree of deviation specified in the comparison results. When the comparison results show that the real-time pressing pressure parameter is higher than the standard range of the process curve, a pressure compensation command is generated to reduce the pressing pressure. The command specifies that the main pressure valve should be adjusted to reduce its opening degree. When the comparison results show that the real-time pressing pressure parameter is lower than the standard range of the process curve, a pressure compensation command is generated to increase the pressing pressure. The command specifies that the main pressure valve should be adjusted to increase its opening degree. When the comparison results show that the real-time pressing temperature parameter does not conform to the standard range of the process curve, a temperature compensation command is generated to increase or decrease the temperature. The command specifies that the auxiliary heating element should be adjusted to increase the heating power or stop heating.

[0046] The pressing adaptive control module drives the data control terminal to respond synchronously to pressure compensation commands and temperature compensation commands. The terminal simultaneously sends control execution signals to the main pressure valve and auxiliary heating link. The main pressure valve adjusts its opening degree according to the pressure compensation command to change the pressing pressure, and the auxiliary heating link adjusts the heating power according to the temperature compensation command to change the pressing temperature. During the control process, the pressure detection device and temperature detection device continuously collect real-time parameters and feed them back to the terminal. The terminal continuously compares the feedback parameters with the standard range of the process curve until the real-time pressing pressure parameters and real-time pressing temperature parameters are both stable within the standard range of the process curve. The stable pressure range and stable temperature range formed at this time together constitute the reasonable temperature and humidity range of the target raw material.

[0047] The pressing adaptive control module, based on a predetermined reasonable temperature and humidity range, sends a continuous pressing operation command to the pressing equipment through the data control terminal. The pressing equipment continuously presses the target raw material according to the pressure and temperature parameters corresponding to the reasonable temperature and humidity range. Under suitable pressure and temperature, the oil inside the target raw material gradually separates from the raw material residue. The unfiltered and unpurified oil that is finally separated from the pressing equipment is the crude pressed oil of the target product.

[0048] The pressing adaptive control module accesses a preset process database within the data control terminal. This database stores various pressing process curves corresponding to different raw material characteristic parameters. Each curve is bound to specific characteristic parameter information such as raw material variety, moisture content, and particle fullness. The module matches the characteristic parameters of the target raw material with the binding information of each curve in the database one by one, and selects the pressing process curve that is completely consistent with the characteristic parameters of the target raw material. Then, the pressing process curve is retrieved and loaded into the real-time data processing area of ​​the data control terminal to provide a basis for subsequent deviation comparison operations.

[0049] The pressing adaptive control module constructs a two-dimensional coordinate space with pressing time as the horizontal axis and pressing pressure and pressing temperature as the vertical axis. The time scale of this coordinate space is consistent with the entire pressing process time, while the pressure and temperature scales cover the entire range required for pressing the target raw material. The module extracts the real-time pressing pressure parameters and real-time pressing temperature parameters recorded in the process status assessment data, and marks the parameter values ​​at the corresponding positions in the coordinate space according to the pressing time nodes corresponding to the two parameters. These marked positions are the temperature and humidity coordinate points of the process status assessment data.

[0050] The pressing adaptive control module loads the pressing process curve into the real-time data processing area and plots it according to the same time-pressure-temperature coordinate space scale to ensure that the process curve and the temperature and humidity coordinate points are in the same coordinate reference system. Then, the module accurately maps the generated temperature and humidity coordinate points to the coordinate space of the plotted pressing process curve according to their corresponding pressing time nodes, thus completing the mapping operation from temperature and humidity coordinate points to pressing process curve.

[0051] The pressing adaptive control module extracts the real-time pressing pressure and temperature values ​​corresponding to the temperature and humidity coordinates at the same pressing time node. At the same time node, it also extracts the standard pressure and temperature values ​​corresponding to the ideal coordinates on the pressing process curve at that time node. The module compares the difference between the real-time pressing pressure value and the standard pressure value, and the difference between the real-time pressing temperature value and the standard temperature value. Based on the preset requirements of the pressing process, it assigns weights to the pressure difference and temperature difference. The two differences are then integrated and calculated together with their weights. The final value obtained is the comprehensive deviation value of the process status evaluation data.

[0052] The pressing adaptive control module retrieves the preset tolerance range of the pressing process curve. This tolerance range includes the pressure tolerance range and the temperature tolerance range. The two ranges together define the allowable parameter fluctuation range during the pressing process. The module compares the calculated comprehensive deviation value with the tolerance range. If the comprehensive deviation value is within the tolerance range, the current pressing state is determined to be of the no-deviation type. If the comprehensive deviation value exceeds the tolerance range, it is further determined to be a deviation of high pressure, low temperature, or a combination of pressure and temperature deviation, depending on the sign of the pressure difference and temperature difference. The determination result is the deviation type of the target product in the current pressing state.

[0053] The pressing adaptive control module combines the calculated comprehensive deviation value with the deviation type of the current pressing state according to the preset result integration rules, so that the comprehensive deviation value can be matched with the specific deviation type. The complete information set formed after the combination is the comparison result of the process state evaluation data.

[0054] The beneficial effects include the ability to integrate and analyze the pressing pressure, temperature, and characteristic parameters of the target raw material, accurately obtain process status assessment data, generate targeted pressure and temperature compensation commands by comparing the deviation with the preset pressing process curve, and determine the appropriate temperature and humidity range through synchronous response, ensuring that the target raw material is pressed under suitable pressing conditions, effectively improving the stability and controllability of the pressing process, ensuring the efficient production of qualified target product crude oil, and laying a high-quality foundation for subsequent purification and processing of crude oil.

[0055] It can accurately call up the pressing process curve that matches the characteristic parameters of the target raw material, and realize the precise correspondence between real-time parameters and process curves through coordinate space projection and mapping. It can accurately calculate the comprehensive deviation value and clearly determine the type of deviation in the pressing state, and finally integrate them to form a complete comparison result, ensuring the pertinence and accuracy of deviation comparison, providing a reliable basis for generating accurate pressure and temperature compensation commands in the future, and effectively improving the accuracy and effectiveness of pressing process control.

[0056] The quality analysis module 104 is used to filter and settle the pressed crude oil, and to test and analyze the settled crude oil to obtain the acid value and peroxide value of the target product. In this embodiment of the invention, when the quality analysis module performs filtration and sedimentation of the pressed crude oil and analyzes the purified crude oil after sedimentation to obtain the acid value and peroxide value of the target product, it is specifically used for: The pressed crude oil is transported to the pretreatment tank of the data control terminal for a constant temperature settling process; During the isothermal sedimentation process, turbidity sensor signals and liquid level sensor signals at the bottom of the pretreatment tank are periodically collected to obtain sedimentation process status data of the target product. When the sedimentation process status data meets the preset clear oil layer determination conditions, the clear oil layer extracted in the pretreatment tank will be used as the sedimented clear oil of the pressed crude oil. The detection process is controlled by the data control terminal to perform acid value titration analysis and peroxide value spectral analysis on the settled crude oil in order to obtain the detection signal data of the detection process. Based on the preset calibration curve, the detection signal data is deconstructed and evaluated to obtain the acid value and peroxide value of the target product.

[0057] The formula for calculating the peroxide value index is as follows: ; In the formula, The peroxide value index is mentioned above. The absorbance value is obtained from the oxidation value spectral analysis. The stability coefficient is the normalized standard deviation of the turbidity sensing signal near the end of the isothermal sedimentation process. The conversion coefficient between absorbance and peroxide value determined by the calibration curve. The preset stability adjustment weight coefficients, This is the preset settlement rate compensation coefficient. The sedimentation gradient detected in the liquid level sensing signal. It is the natural logarithm function.

[0058] The absorbance value obtained in the oxidation value spectral analysis is a direct numerical value obtained by scanning the sample using a spectral analysis device during the oxidation value spectral analysis process. The stability coefficient is obtained by collecting turbidity sensor signals near the end of the isothermal sedimentation process, calculating the standard deviation of these signals' fluctuations, and then normalizing the standard deviation. The conversion coefficient between absorbance and peroxide value determined by the calibration curve is obtained by pre-preparing a series of standard samples with known peroxide values, performing oxidation value spectral analysis on each standard sample to obtain the corresponding absorbance value, plotting the absorbance value on the x-axis and the peroxide value on the y-axis, and then determining the correlation between the absorbance value and the peroxide value based on the linear or nonlinear relationship of the calibration curve. The preset stability correction weight coefficient is a pre-set value used to adjust the degree of influence of the stability coefficient on the final result. The preset sedimentation rate compensation coefficient is a pre-set value used to compensate for the influence of the sedimentation gradient on the calculated peroxide value index.

[0059] The sedimentation gradient detected in the liquid level sensor signal is a value obtained by analyzing the liquid level change patterns over different time periods from the collected liquid level sensor signal. The peroxide value index is a result obtained by integrating various values ​​obtained from oxidation value spectral analysis, including absorbance, stability coefficient, conversion coefficient, stability correction weighting coefficient, sedimentation rate compensation coefficient, and sedimentation gradient. The calculation combines multiple values ​​related to the sample's oxidation state and sedimentation stability. First, the absolute value of the difference between the stability coefficient and 1 is calculated. This absolute value is multiplied by the stability correction weighting coefficient and then added to obtain an intermediate result. Simultaneously, 1 plus the natural logarithm of the sedimentation gradient is calculated. Then, the result of multiplying the conversion coefficient by the absorbance value is divided by the previously obtained intermediate result. Finally, this division result is added to the result of multiplying the sedimentation rate compensation coefficient by the natural logarithm to obtain the peroxide value index, achieving precise quantification of the peroxide value index.

[0060] This calculation process integrates turbidity and liquid level-related state data from the isothermal sedimentation process with absorbance data from spectral analysis. The calculation of the oxidation value index considers not only the oxidation spectral characteristics of the sample but also the stability of the isothermal sedimentation process and the influence of the sedimentation gradient. The conversion coefficient between absorbance and peroxide value determined by the calibration curve provides a precise basis for the conversion of absorbance values ​​to peroxide values, ensuring the accuracy of the correlation between spectral analysis data and peroxide value. The preset stability correction weighting coefficient can adjust the degree of influence of sedimentation stability on the peroxide value index according to actual process requirements, making the calculation results more consistent with practical application scenarios. The preset sedimentation rate compensation coefficient can compensate for the interference of sedimentation gradient differences on the peroxide value index calculation, further improving the accuracy of the peroxide value index calculation. The final peroxide value index can comprehensively and accurately reflect the oxidation state of the target sample.

[0061] The pressed crude oil is transported to the pretreatment tank of the data control terminal through a dedicated pipeline. The constant temperature control system of the pretreatment tank is started, and the constant temperature settling temperature is set according to the preset process requirements. The heating device on the outer wall of the tank and the temperature sensor work together to keep the temperature inside the tank stable within the set temperature range. At the same time, the inlet and outlet valves of the tank are closed, and the low-speed stirring device inside the tank is turned on to stir evenly for 10 minutes before stirring is stopped, and the constant temperature settling process begins.

[0062] Simultaneously with the start of the isothermal sedimentation process, the signal connection between the data control terminal and the turbidity sensor and level sensor installed at the bottom of the pretreatment tank is activated. The signal acquisition cycle is set, and the data control terminal receives the turbidity sensing signal of the liquid at the bottom of the tank detected by the turbidity sensor and the liquid level sensing signal of the liquid in the tank detected by the level sensor in real time according to the preset time interval. After each signal acquisition is completed, the turbidity sensing signal and the liquid level sensing signal acquired this time are associated and stored in the storage unit of the data control terminal. The acquisition continues until the isothermal sedimentation process ends. All the acquired and stored signal data together constitute the sedimentation process status data of the target product.

[0063] The clear oil layer determination conditions are preset in the data control terminal. These conditions are that the turbidity sensor signal value is lower than the preset turbidity threshold and the fluctuation range of the liquid level sensor signal values ​​collected three times consecutively does not exceed the preset fluctuation range. The data control terminal calls the sedimentation process status data in the storage unit in real time, compares the latest collected turbidity sensor signal value with the preset turbidity threshold, and calculates the fluctuation range of the liquid level sensor signal values ​​three times consecutively and compares it with the preset fluctuation range. When both comparison results meet the requirements, it is determined that the sedimentation process status data meets the preset clear oil layer determination conditions. At this time, the oil extraction valve corresponding to the height of the clear oil layer on the side wall of the pretreatment tank is activated, and the liquid of the clear oil layer in the pretreatment tank is extracted to a special collection container through the oil extraction pipeline. The liquid in the collection container is the clear crude oil after sedimentation of the pressed crude oil. After extraction is completed, the oil extraction valve is closed.

[0064] The data control terminal sends start commands to the acid value titration equipment and peroxide value spectroscopic analysis equipment in the detection process. The operator divides the settled crude oil sample into two portions. One portion is added to the titration cell of the acid value titration equipment, and a preset volume of anhydrous ethanol and diethyl ether mixed solvent is added to the titration cell. The stirring function of the titration equipment is activated to completely dissolve the sample. Subsequently, the titration equipment is controlled to add potassium hydroxide standard solution dropwise to the titration cell, while the pH sensor in the titration cell is turned on to monitor the pH value change of the solution in real time. The other portion of the sample is placed in the sample detection chamber of the peroxide value spectroscopic analysis equipment. After the detection chamber is closed, the spectral scanning wavelength range is set, and the spectroscopic analysis equipment is started to perform a spectral scan on the sample. The acid value titration equipment transmits the solution pH value signal and the titrant consumption volume signal to the data control terminal in real time during the titration process. The peroxide value spectroscopic analysis equipment transmits the scanned spectral signal to the data control terminal. These signals transmitted to the data control terminal together constitute the detection signal data of the detection process.

[0065] A series of standard samples with known acid value and peroxide value indices were prepared in advance through experiments. Acid value titration and peroxide value spectral analysis were performed on each standard sample, and the corresponding detection signal data were recorded. Acid value calibration curves and peroxide value calibration curves were plotted with the acid value and peroxide value indices of the standard samples as the x-axis and the corresponding detection signal data as the y-axis, respectively. These two calibration curves were stored in a data control terminal. The data control terminal retrieved the stored acid value and peroxide value calibration curves and compared the acid value titration-related signals in the detection signal data with the acid value calibration curves one by one. The coordinate points of the calibration curves that matched the detection signal data were found, and the corresponding x-axis values ​​were the acid value indices of the target product. Simultaneously, the peroxide value spectral-related signals in the detection signal data were compared with the peroxide value calibration curves one by one to find the matching calibration curve coordinate points. The corresponding x-axis values ​​were the peroxide value indices of the target product. The obtained acid value and peroxide value indices were stored in the result storage module of the data control terminal.

[0066] The beneficial effects are that the constant temperature sedimentation process ensures the stability of the sedimentation environment for the pressed crude oil, and the sedimentation process status data of the target product is accurately obtained by periodically collecting turbidity and liquid level sensor signals. According to the preset conditions, the purified crude oil after sedimentation is accurately separated. Through standardized acid value titration analysis and peroxide value spectral analysis, combined with the deconstruction evaluation of the preset calibration curve, the accuracy of the detection signal data conversion is ensured. Finally, the acid value index and peroxide value index of the target product are reliably obtained, providing accurate and comprehensive detection basis for the quality analysis of pressed crude oil.

[0067] The intelligent blending formula decision module 105 is used to dynamically adjust the acid value and peroxide value based on the preset standard finished oil index and auxiliary oil characteristic database in the target product, so as to obtain the real-time blending scheme of the target product. In this embodiment of the invention, when the intelligent blending formula decision module performs dynamic formula adjustments on the acid value and peroxide value indicators based on a preset database of standard finished oil indicators and auxiliary oil characteristics in the target product, and obtains a real-time blending scheme for the target product, it is specifically used for: Extract the upper limit standard values ​​of acid value and peroxide value from the standard refined oil index data in the data control terminal; The data control terminal reads information from the auxiliary oil characteristic database to obtain data on the types, acid value ranges, and peroxide value ranges of available auxiliary oils in the database. The acid value index is correlated and compared with the upper limit standard value of acid value, and the peroxide value index is correlated and compared with the upper limit standard value of peroxide value to obtain the acid value deviation state and peroxide value deviation state of the target product. Based on the acid value deviation state and the oxidation value deviation state, and combined with the acid value range and peroxide value range data of the available auxiliary oils, the target auxiliary oil and theoretical addition ratio range of the target product are matched in the formula logic strategy library of the data control terminal. Based on the data control terminal, the theoretical addition ratio range of the target auxiliary oil is integrated to obtain a preliminary blending strategy for the target product. The logical consistency of the preliminary reconciliation strategy is verified, and the scheme that passes the verification is output as the real-time reconciliation scheme of the target product.

[0068] The data reading program of the intelligent oil blending formula decision module is started. Through the internal data interaction interface of the data control terminal, the dedicated database table storing standard refined oil index data is located and accessed. This database table pre-stores the standard index parameters corresponding to various target products. The upper limit standard values ​​of acid value and peroxide value corresponding to the current target product are accurately extracted from it. After extraction, the two values ​​are format-validated. After confirming that the values ​​are the preset valid value types, they are stored in the module's temporary data cache unit to ensure that subsequent comparison operations can be directly called. A stable data connection is established with the auxiliary oil characteristic database through the database access protocol of the data control terminal. A preset query command is sent to the database, which includes the filtering condition of "available auxiliary oil". That is, auxiliary oil records with the inventory status of "in stock", the quality grade meets the preset requirements and has not expired are filtered out. Based on the filtering result, the auxiliary oil type, acid value range and peroxide value range data of each record are read. All the read data are structured and organized according to "auxiliary oil type" as the core field to generate an available auxiliary oil information table with three data dimensions. This table is stored in the information storage unit of the intelligent blending formula decision module as the basic data for subsequent formula matching.

[0069] The module retrieves the extracted upper limit standard values ​​of acid value and peroxide value from the temporary data cache unit. Simultaneously, it retrieves the acid value and peroxide value indices of the target product obtained previously. The module's built-in correlation comparison program is then activated to calculate the difference between the acid value index and the upper limit standard value. If the difference is greater than 0, the acid value deviation status is determined to be "acid value exceeding the standard deviation"; if the difference is equal to 0, it is determined to be "acid value qualified with no deviation"; if the difference is less than 0, it is determined to be "acid value below the standard deviation". Using the same calculation and judgment logic, the peroxide value index is compared with the upper limit standard value of peroxide value to obtain the oxidation value deviation status. The final obtained acid value deviation status and oxidation value deviation status are then correlated and bound to generate a deviation status correlation table and stored.

[0070] The system retrieves the available excipient oil information table from the information storage unit and the acid value deviation status and oxidation value deviation status from the deviation status association table. It then initiates the matching program in the formulation logic strategy library, which pre-stores mapping relationships between different deviation status combinations and excipient oil matching rules. For example, when the acid value exceeds the standard deviation but the oxidation value is within acceptable limits, the matching rule is "screen excipient oils with an acid value range lower than the target product's acid value index." Based on the current deviation status combination, the system matches the corresponding screening rule from the strategy library and filters the available excipient oil information table according to this rule to obtain the target excipient oil that meets the requirements. Simultaneously, based on the degree of deviation corresponding to the deviation status, the system extracts the corresponding proportion calculation rule from the strategy library. Combining the acid value range and peroxide value range of the target excipient oil, it determines the theoretical addition ratio range. For example, if the acid value exceeds the standard by 10%, the corresponding ratio rule is "the target excipient oil addition ratio is 15%–25%." The system binds and stores the target excipient oil with the corresponding theoretical addition ratio range, forming a preliminary matching result.

[0071] The solution integration module of the data control terminal is activated to retrieve the target auxiliary oil and theoretical addition ratio range from the preliminary matching results. At the same time, the basic blending process parameters corresponding to the current target product are extracted from the basic process parameter library of the data control terminal, including blending temperature, stirring rate, blending time, etc. The theoretical addition ratio range is integrated with the basic process parameters to clarify the addition ratio and timing of auxiliary oil at each stage. For example, auxiliary oil from the lower limit to the middle value of the theoretical ratio range is added in the initial stage of blending, and the remaining proportion of auxiliary oil is added after stirring for 30 minutes. This information is organized into a structured document containing "auxiliary oil type, addition ratio at each stage, blending process parameters, and addition sequence", which is the preliminary blending strategy for the target product. After integration, the strategy document is checked for completeness to ensure that no key information is missing.

[0072] The logic consistency verification procedure for the initial blending strategy is initiated. Pre-set blending process logic rules are retrieved from the process rule library of the data control terminal, including prohibitions on the order of adding auxiliary oils, the reasonable range of the proportioning interval, and process parameter matching requirements. The content of the initial blending strategy is verified item by item according to these rules. For example, it verifies whether there are conflicts in the order of addition between target auxiliary oils, whether the theoretical addition ratio range is within the reasonable range of 0-100%, and whether the blending temperature matches the type of auxiliary oil. If a logical contradiction is found during the verification process, the previous steps are immediately returned to re-match the target auxiliary oils and adjust the proportioning interval. If all verification items pass, the logic is deemed consistent. The initial blending strategy is then converted into an instruction format recognizable by the execution terminal and output through the output interface of the data control terminal. This output scheme is the real-time blending scheme for the target product. Simultaneously, the real-time blending scheme is backed up and stored in the module's historical scheme database for easy subsequent traceability and querying.

[0073] The beneficial effects include: accurately extracting the upper limit standard values ​​of acid value and peroxide value of standard finished oil, providing a reliable benchmark for subsequent deviation comparison; ensuring the quality of basic data for formula matching by screening and reading key characteristic data of available auxiliary oils; accurately determining the deviation status of acid value and peroxide value of target products through correlation comparison, providing precise direction for formula adjustment; scientifically matching target auxiliary oils and theoretical addition ratio ranges based on deviation status and auxiliary oil characteristic data, ensuring the targeting and adaptability of the formula; integrating basic process parameters to form a complete preliminary blending strategy; and combining strict logical consistency verification to ensure the feasibility and reliability of the scheme. The final output real-time blending scheme can provide precise guidance for the oil blending process of target products, improve the scientificity and efficiency of oil blending formula decision-making, and ensure that the quality of finished oil meets standard requirements.

[0074] The oil blending execution and output module 106 is used to mix and output the auxiliary materials of the target product with the crude oil according to the real-time blending scheme, so as to complete the pressing and blending control of the target product.

[0075] In this embodiment of the invention, when the oil blending execution and output module executes the real-time blending scheme to mix and output the auxiliary materials of the target product with the crude oil to complete the pressing and blending control of the target product, it is specifically used for: In the data control terminal, the real-time reconciliation scheme is parsed to obtain the reconciliation execution instruction set of the target product; According to the harmonic execution instruction set, the operating parameters of the relevant devices in the data control terminal are synchronously adjusted to achieve accurate response of the harmonic execution instruction set; After the blending execution instruction set response is completed, the target product is transported to the forced homogenization mixing stage through the data control terminal, and the blended target product is output to complete the pressing and blending control of the target product.

[0076] The scheme parsing program of the blending execution and output module is started. Through the internal data interaction interface of the data control terminal, the generated real-time blending scheme is retrieved. This scheme is a document in an instruction format that can be recognized by the execution terminal. The parsing program decomposes the document according to the logical structure of "process stage - execution action - parameter requirements", extracts the core execution information such as the type of target auxiliary oil, the addition ratio of each stage, the addition sequence, blending temperature, stirring rate, and blending time. This information is converted into standardized instructions that the equipment can directly respond to. Each instruction contains key elements such as equipment number, action type, parameter value, and execution time. For example, "Auxiliary oil transfer pump No. 1, start, flow rate 50L / min, execute for 10 minutes". All standardized instructions are sorted according to the execution sequence to form the blending execution instruction set of the target product. After parsing, each instruction in the instruction set is format-verified and logically conflict-detected. After confirming that there are no errors, the instruction set is stored in the module's instruction cache unit, and a parsing completion signal is sent back to the data control terminal.

[0077] The blending execution and output module establishes a communication connection with relevant blending equipment in the data control terminal via an industrial bus. This equipment includes auxiliary oil transfer pumps, crude oil transfer pumps, blending tank agitators, blending tank temperature control devices, flow sensors, and temperature sensors. The module sequentially retrieves the blending execution instruction set from the instruction cache unit and sends execution instructions to the corresponding equipment one by one, synchronously adjusting the operating parameters of each device. For example, for an auxiliary oil addition instruction, the module adjusts the frequency converter of the corresponding transfer pump to match the pump's output flow rate with the parameter requirements in the instruction. Simultaneously, the actual delivery flow rate is collected in real time by the flow sensor and compared with the instruction parameters. Yes, if there is a deviation, the frequency converter controller is fine-tuned immediately; for the blending temperature parameter, the heating or cooling device of the blending tank is adjusted, and the temperature inside the tank is monitored in real time by a temperature sensor to ensure that the temperature is stably maintained within the range required by the command; for the stirring rate parameter, the motor speed controller of the stirrer is adjusted so that the stirring paddle speed meets the command requirements. The adjustment process of all equipment is achieved through closed-loop control by real-time data interaction between the module and the sensor to ensure accurate response of the blending execution command set. After each command is executed, the equipment sends an execution completion signal back to the module, and the module records the execution status and then enters the execution process of the next command.

[0078] Once all instructions in the blending execution instruction set have been executed and all devices have returned completion signals, the blending execution and output module sends a blending stage completion signal to the data control terminal. Simultaneously, it initiates the target product conveying program, controls the opening of the discharge valve at the bottom of the blending tank, and starts the discharge conveying pump to transport the blended target product through a dedicated conveying pipeline to the inlet of the forced homogenizing mixing equipment. During conveying, the flow rate is monitored in real time by a flow sensor on the pipeline to ensure stable conveying. After the target product enters the forced homogenizing mixing stage, the module sends a start command to the homogenizing mixing equipment, sets the homogenizing pressure and mixing speed, and the equipment performs high-pressure homogenization on the target product after startup. The internal homogenizing valve causes shearing, impact, and cavitation effects on the product under high pressure, achieving deep mixing of auxiliary materials and crude oil. After homogenizing for a preset time, the equipment automatically stops and sends a signal indicating that mixing is complete. Once the module confirms that mixing is complete, it controls the discharge valve of the homogenizing equipment to open, starts the finished product delivery pump, and transports the blended and homogenized target product to the finished product storage tank. During the transportation process, the product is sampled and tested. After passing the test, the output process is completed. At the same time, the module uploads all the data of this oil blending process, including equipment operating parameters, execution time, and product test results, to the historical record database of the data control terminal for storage, ultimately completing the pressing and blending control of the target product.

[0079] The beneficial effects include generating a standardized blending execution instruction set through precise analysis of the real-time blending scheme, ensuring the accuracy and logic of the execution instructions, providing a reliable basis for subsequent oil blending execution, synchronously adjusting the operating parameters of various related equipment through industrial bus communication and closed-loop control, verifying the operating status in real time and correcting deviations in a timely manner, ensuring accurate response of the blending execution instruction set, achieving deep integration of auxiliary materials and crude oil through forced homogenization mixing, improving the mixing uniformity of the target product, ensuring the quality of the output product through stable monitoring and finished product sampling and testing during the transportation process, and facilitating subsequent traceability and query through the recording and storage of data throughout the entire process. Ultimately, it efficiently completes the pressing and blending control of the target product, ensuring that the quality of the finished product meets the requirements and that the control process is stable and reliable.

[0080] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0081] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A PLC-based intelligent control system for peanut oil pressing and blending, characterized in that, The system includes a data initialization module, a preprocessing and control module, a pressing adaptive control module, a quality analysis module, an intelligent oil blending formula decision-making module, and an oil blending execution and output module, wherein: The data initialization module is used to upload the initial state data of the target product to the data control terminal. The preprocessing control module is used to adjust the temperature and humidity of the target product's property parameters based on the initial state data to obtain the target raw material of the target product. The pressing adaptive control module is used to monitor the pressing pressure and pressing temperature of the target raw material in the data control terminal, and adaptively adjust the main pressure valve and auxiliary heating link of the data control terminal in combination with the characteristic parameters of the target raw material, so as to obtain the pressed crude oil of the target product. The quality analysis module is used to filter and settle the pressed crude oil, and to test and analyze the settled crude oil to obtain the acid value and peroxide value of the target product. The intelligent blending formula decision module is used to dynamically adjust the acid value and peroxide value indicators based on the preset standard finished oil indicators and auxiliary oil characteristic database in the target product, so as to obtain the real-time blending scheme of the target product. The oil blending execution and output module is used to mix and output the auxiliary materials of the target product with the crude oil according to the real-time blending scheme, so as to complete the pressing and blending control of the target product.

2. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, When the data initialization module uploads the initial state data of the target product to the data control terminal, it is specifically used for: Real-time acquisition of batch identification signals and storage environment monitoring signals of target peanut raw materials; The batch identification signal and the storage environment monitoring signal are analyzed to obtain the raw material status data packet of the target product; The raw material status data packet is encapsulated in a standard frame format, and the encapsulated data is uploaded to the data control terminal of the target product.

3. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, When the preprocessing control module performs temperature and humidity adjustment on the property parameters of the target product based on the initial state data to obtain the target raw material of the target product, it is specifically used for: In the data control terminal, the initial state data is processed to obtain the temperature and humidity parameters of the initial state data. The temperature parameter and the humidity parameter are range-corrected with the standard threshold of the target product to obtain the temperature control command and humidity control command of the initial state data; According to the temperature control command, the heating and cooling equipment in the data control terminal are scheduled to coordinate and adjust the temperature parameters. According to the humidity control command, the humidity adjustment device in the data control terminal is controlled to adjust the humidity parameters in a coordinated manner; During the adjustment of temperature and humidity parameters, the temperature and humidity parameters are monitored in real time, and raw materials that meet the threshold range of the standard threshold are used as the target raw materials for the target product.

4. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, When the adaptive pressing control module monitors the pressing pressure and temperature of the target raw material in the data control terminal, and adaptively adjusts the main pressure valve and auxiliary heating circuit of the data control terminal based on the characteristic parameters of the target raw material to obtain the crude pressed oil of the target product, it is specifically used for: Within the data control terminal, the real-time pressing pressure parameters, real-time pressing temperature parameters, and characteristic parameters of the target raw material are fused and analyzed to obtain process state evaluation data of the target raw material. The process status assessment data is compared with the preset pressing process curve to obtain the comparison result of the process status assessment data. Based on the direction and degree of deviation in the comparison results, pressure compensation commands and temperature compensation commands are generated in the data control terminal. The pressure compensation command and the temperature compensation command are responded to synchronously to obtain the reasonable temperature and humidity range of the target raw material; Based on the reasonable temperature and humidity range and the data control terminal, the target raw material is pressed to extract oil, thereby obtaining the crude oil of the target product.

5. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 4, characterized in that, When the pressing adaptive control module performs a deviation comparison between the process state evaluation data and a preset pressing process curve to obtain the comparison result of the process state evaluation data, it is specifically used for: From the process database of the data control terminal, retrieve the pressing process curve associated with the characteristic parameters of the target raw material; By projecting the real-time pressing pressure parameters and real-time pressing temperature parameters in the process status assessment data into coordinate space, the temperature and humidity coordinate points of the process status assessment data are obtained. Map the temperature and humidity coordinate points onto the pressing process curve; Calculate the numerical deviation between the temperature and humidity coordinate points and the ideal coordinate points at the corresponding time points on the pressing process curve to obtain the comprehensive deviation value of the process state evaluation data; Based on the comprehensive deviation value and the tolerance range defined by the pressing process curve, the deviation type of the target product in the current pressing state is determined. The comprehensive deviation value and the deviation type are integrated into a comparison result of the process status assessment data.

6. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 5, characterized in that, The formula for calculating the comprehensive deviation value is as follows: ； In the formula, The comprehensive deviation value is... The feature parameter adjustment factor in the process database. The pressure difference value is the process status assessment data. The preset temperature deviation weighting coefficient, The temperature difference value is the process status assessment data.

7. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, The quality analysis module, when performing the filtration and sedimentation of the pressed crude oil and analyzing the purified crude oil after sedimentation to obtain the acid value and peroxide value of the target product, is specifically used for: The pressed crude oil is transported to the pretreatment tank of the data control terminal for a constant temperature settling process; During the isothermal sedimentation process, turbidity sensor signals and liquid level sensor signals at the bottom of the pretreatment tank are periodically collected to obtain sedimentation process status data of the target product. When the sedimentation process status data meets the preset clear oil layer determination conditions, the clear oil layer extracted in the pretreatment tank will be used as the sedimented clear oil of the pressed crude oil. The detection process is controlled by the data control terminal to perform acid value titration analysis and peroxide value spectral analysis on the settled crude oil in order to obtain the detection signal data of the detection process. Based on the preset calibration curve, the detection signal data is deconstructed and evaluated to obtain the acid value and peroxide value of the target product.

8. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 7, characterized in that, The formula for calculating the peroxide value index is as follows: ； In the formula, The peroxide value index is mentioned above. The absorbance value is obtained from the oxidation value spectral analysis. The stability coefficient is the normalized standard deviation of the turbidity sensing signal near the end of the isothermal sedimentation process. The conversion coefficient between absorbance and peroxide value determined by the calibration curve. The preset stability adjustment weight coefficients, This is the preset settlement rate compensation coefficient. The sedimentation gradient detected in the liquid level sensing signal. It is the natural logarithm function.

9. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, The intelligent blending formulation decision module, when executing a database of preset standard finished oil indicators and auxiliary oil characteristics based on the target product, dynamically adjusts the acid value and peroxide value indicators to obtain a real-time blending scheme for the target product, specifically for: Extract the upper limit standard values ​​of acid value and peroxide value from the standard refined oil index data in the data control terminal; The data control terminal reads information from the auxiliary oil characteristic database to obtain data on the types, acid value ranges, and peroxide value ranges of available auxiliary oils in the database. The acid value index is correlated and compared with the upper limit standard value of acid value, and the peroxide value index is correlated and compared with the upper limit standard value of peroxide value to obtain the acid value deviation state and peroxide value deviation state of the target product. Based on the acid value deviation state and the oxidation value deviation state, and combined with the acid value range and peroxide value range data of the available auxiliary oils, the target auxiliary oil and theoretical addition ratio range of the target product are matched in the formula logic strategy library of the data control terminal. Based on the data control terminal, the theoretical addition ratio range of the target auxiliary oil is integrated to obtain a preliminary blending strategy for the target product. The logical consistency of the preliminary reconciliation strategy is verified, and the scheme that passes the verification is output as the real-time reconciliation scheme of the target product.

10. The intelligent control system for peanut oil pressing and blending based on PLC control as described in claim 1, characterized in that, When the oil blending execution and output module executes the real-time blending scheme to mix and output the auxiliary materials of the target product with the crude oil to complete the pressing and blending control of the target product, it is specifically used for: In the data control terminal, the real-time reconciliation scheme is parsed to obtain the reconciliation execution instruction set of the target product; According to the harmonic execution instruction set, the operating parameters of the relevant devices in the data control terminal are synchronously adjusted to achieve accurate response of the harmonic execution instruction set; After the blending execution instruction set response is completed, the target product is transported to the forced homogenization mixing stage through the data control terminal, and the blended target product is output to complete the pressing and blending control of the target product.

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