Energy consumption self-circulation control method and system for oil sludge harmless treatment

Abstract

The present application relates to the field of energy consumption control, more particularly, the present application relates to a kind of energy consumption self-circulation control method and system for sludge harmless treatment, method includes: real-time acquisition mud properties, motor operating data, mud import and export temperature and reaction system temperature;Based on mechanical power and temperature rise effect, the degree of heat conduction blockage is calculated;According to the calculation of theoretical energy of mud properties, and combined with the degree of heat conduction blockage, the effective energy expectation is obtained by attenuation correction;Reaction system temperature is compared with constant target temperature, if under temperature, calculate first adjustment, if over temperature, calculate second adjustment;According to the change trend of the degree of heat conduction blockage, overload protection factor is calculated;Finally, the target feed speed is calculated by combining adjustment and overload protection factor, and the feed device is regulated and controlled.The present application can accurately match self-produced heat energy supply and demand, avoid system shutdown or over-temperature safety accident caused by heat conduction blockage, and realize energy consumption self-circulation stable operation.

Description

Technical Field

[0001] This invention relates to the field of energy consumption control. More specifically, this invention relates to an energy consumption self-circulation control method and system for the harmless treatment of oil sludge. Background Technology

[0002] Oily sludge (referred to as oily sludge) pyrolysis technology has become the mainstream process in the industry due to its ability to recover oil and gas resources. To reduce operating costs, the industry has gradually developed energy-self-circulating processes, which use the pyrolysis gas produced by oily sludge pyrolysis as fuel to heat the system and reduce dependence on external energy sources.

[0003] However, oil sludge comes from a wide range of sources, and its water and oil content fluctuate dramatically. In a closed-loop system that relies entirely on self-generated pyrolysis gas for energy, the feed rate becomes the only controllable variable for maintaining energy balance. Existing technologies typically use thermocouples to monitor temperature and adjust the feed accordingly. However, in actual production, the heavy components in the oil sludge easily adhere to the inner wall of the reactor after heating, forming a dense insulating layer. This prevents heat from being effectively transferred to the material, resulting in distorted temperature sensor readings. This dynamic process of blocked heat conduction channels makes traditional temperature feedback control unable to accurately match the supply and demand of self-generated heat energy, ultimately leading to frequent system shutdowns due to insufficient heat energy or overheating safety accidents due to excessive heat. Summary of the Invention

[0004] To address the technical problem that traditional temperature feedback control cannot accurately match the supply and demand of self-generated heat energy, leading to frequent system shutdowns due to insufficient heat energy or overheating safety accidents due to excessive heat, this invention provides solutions in the following aspects.

[0005] In the first aspect, an energy consumption self-circulation control method for the harmless treatment of oil sludge includes: Real-time acquisition of sludge properties, motor operation data, sludge inlet and outlet temperatures, and reaction system temperature during the sludge treatment process establishes a foundation for system status perception. The mechanical power is determined based on the motor operating data, and the temperature rise effect is determined based on the inlet and outlet temperatures of the mud. The degree of heat conduction blockage is calculated based on the ratio of the mechanical power to the temperature rise effect. The theoretical energy of the clay is calculated based on its properties, and the theoretical energy is attenuated and corrected according to the degree of heat conduction blockage to obtain the expected effective energy. The reaction system temperature is compared with a preset constant target temperature. If the reaction system temperature is lower than the constant target temperature, the basic heat consumption rate required to raise the system to the constant target temperature is calculated, and the first adjustment amount is calculated in combination with the expected effective energy. If the reaction system temperature is greater than or equal to the constant target temperature, the excess heat storage of the system that exceeds the constant target temperature is calculated, and the second adjustment amount is calculated based on the excess heat storage. Calculate the overload protection factor based on the changing trend of the degree of heat conduction blockage between the current moment and the previous moment; The target feed rate is calculated based on the first or second adjustment amount and the overload protection factor, and the feeding device is adjusted according to the target feed rate to achieve stable energy self-circulation operation of the sludge harmless treatment process.

[0006] Optionally, the motor operating data includes operating torque and speed; the mud properties include oil content and instantaneous feed flow rate.

[0007] Optionally, the calculation of the degree of heat conduction blockage includes: Calculate the absolute value of the difference between the outlet temperature and the inlet temperature of the mud at the current moment; The mechanical power is divided by the absolute value of the difference between the outlet temperature and the inlet temperature of the mud at the current moment, and the resulting value is multiplied by an amplification factor to obtain the degree of heat conduction blockage. The amplification factor is the ratio of the motor's current operating torque to the reference torque under no-load operation.

[0008] Optionally, the calculation of the theoretical energy includes: Multiply the oil content by the instantaneous feed flow rate to obtain the pure oil mass flow rate in the feed mud. The theoretical energy is obtained by multiplying the pure oil mass flow rate by the preset standard calorific value.

[0009] Optionally, obtaining the expected effective energy includes: Multiplying the theoretical energy by the attenuation factor yields the expected effective energy. The attenuation factor is calculated by comparing a preset reference thermal impedance constant with the degree of thermal conduction blockage at the current moment.

[0010] Optionally, the specific calculation of the first adjustment amount includes: Divide the expected effective energy by the product of the basic heat consumption rate and the preset hyperparameter to obtain the energy supply and demand driving term; The first adjustment amount is obtained by smoothly mapping the energy supply and demand driving term using the hyperbolic tangent function.

[0011] Optionally, the specific calculation of the second adjustment amount includes: The preset benchmark value is used as the numerator, and the sum of the benchmark value and the preset hyperparameter multiplied by the excess heat storage is used as the denominator. The result of dividing the numerator and the denominator is used as the second adjustment amount.

[0012] Optionally, obtaining the overload protection factor includes: Calculate the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment; If the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment is greater than zero, then the reciprocal of the sum of the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment plus 1 is used as the overload protection factor. If the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment is less than or equal to zero, then the overload protection factor is set to 1.

[0013] Optionally, obtaining the target feed rate includes: The target feed rate is obtained by multiplying the rated baseline feed rate of the equipment by the first adjustment amount or the second adjustment amount, and then by the overload protection factor.

[0014] Secondly, an energy consumption self-circulation control system for the harmless treatment of oil sludge includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the energy consumption self-circulation control method for the harmless treatment of oil sludge described in any one of the claims is implemented.

[0015] The beneficial effects of this invention are: This invention constructs an energy consumption self-circulation control system based on multi-dimensional perception, which integrates real-time data on mud properties, mechanical operating status, and temperature. It quantifies the degree of heat conduction blockage based on mechanical power and temperature rise effect, and dynamically attenuates and corrects the theoretical energy accordingly to obtain the expected effective energy, thereby achieving accurate prediction of future self-generated heat energy supply capacity. Furthermore, it compares the reaction system temperature with the constant target temperature, calculates the first or second adjustment amount for different operating conditions where the system temperature is lower or higher than the constant target temperature, and introduces an overload protection mechanism in combination with the changing trend of the degree of heat conduction blockage. Finally, it comprehensively derives the target feed rate control feeding device.

[0016] This control method effectively overcomes the problems of heat conduction distortion and energy supply-demand mismatch caused by mud sticking to the wall in closed-loop systems that rely solely on self-generated pyrolysis gas for energy. It upgrades traditional static energy prediction to dynamic assessment, realizing a leap in control logic from "post-event remediation" to "pre-event prediction." At the same time, through dual regulation of adaptive operation and overload trend suppression, it curbs the vicious cycle of increased wall sticking at the root, significantly improving the robustness and self-healing ability of the system, ensuring continuous and stable operation under complex conditions, and greatly reducing the risk of shutdown or overheating accidents caused by energy misjudgment. Attached Figure Description

[0017] Figure 1 This is a flowchart of steps S1-S4 in an energy consumption self-circulation control method for the harmless treatment of oil sludge according to an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0019] The application scenario targeted by this invention is as follows: when external auxiliary heat sources are completely cut off, the sludge pyrolysis treatment system relies solely on the combustion of its own pyrolysis gas for heating. In this case, the feed rate of the front-end feed pump becomes the only actively intervened variable for maintaining the energy supply and demand balance of the system. Under this constraint, how to overcome the heat conduction blockage and temperature feedback distortion caused by sludge sticking to the wall, and achieve stable and continuous operation of the system, is the core problem to be solved by the embodiments of this invention.

[0020] Reference Figure 1 A method for energy consumption self-circulation control in the harmless treatment of oil sludge includes steps S1-S4, as detailed below: S1: Real-time acquisition of sludge properties, mechanical operation data, sludge inlet and outlet temperatures, and reaction system temperature during the sludge treatment process to establish a foundation for system status perception.

[0021] In energy-efficient self-circulating control systems, the source of oily sludge is complex, and its moisture and oil content fluctuate drastically. If the system cannot perceive the sludge properties and equipment operating status in real time, precise control will be impossible. Therefore, it is necessary to first establish a multi-dimensional real-time data acquisition system to provide comprehensive sensing information for the system.

[0022] Specifically, the following five types of data are acquired synchronously at a sampling frequency of 1Hz: First, the moisture content and oil content of the feed mud are detected in real time using a near-infrared spectrometer or microwave resonance meter installed on the feed conveyor belt of the drying section; Second, the instantaneous flow rate of the feed is acquired in real time using a high-precision electronic belt scale; Third, the operating parameters of the current motor, including operating torque and speed, are read in real time using the frequency converter of the screw motor in the drying section; Fourth, the inlet and outlet temperatures of the mud are acquired in real time using thermocouple sensors installed at the inlet and outlet of the drying section; Fifth, the current temperature of the reaction system is acquired in real time using a temperature sensor installed in the reaction system, which is used to characterize the heat reserve status of the system.

[0023] In the above operations, the moisture content and oil content determine the system's heat load and potential heat supply capacity, respectively, serving as the basic inputs for energy balance calculations. Instantaneous flow rate is used to calculate the total energy flux per unit time. The motor torque and speed reflect the flow resistance of the mud within the reactor, providing a basis for subsequent assessment of wall adhesion. The mud inlet and outlet temperatures are used to evaluate the actual heat absorption effect of the mud. The reaction system temperature is used to determine whether the system is currently in an under-temperature or over-temperature state. Thus, through this step of multi-dimensional data acquisition of mud properties, mechanical operation, mud temperature, and system temperature, the system establishes a comprehensive perception capability of mud properties, feed load, mechanical conditions, thermal state, and system heat reserve, laying a data foundation for subsequent blockage degree calculations and energy prediction.

[0024] S2: Based on the mechanical operation data and the inlet and outlet temperature data of the mud, calculate the ratio of mechanical power to temperature rise effect to obtain the degree of heat conduction blockage.

[0025] In continuous sludge processing, after the sludge is heated and dehydrated, its heavy components easily adhere to the inner wall of the reactor and the spiral blades, forming a dense heat insulation layer. Once this insulation layer is formed, even if a large amount of heat is released from external combustion, it cannot be effectively transferred to the interior of the sludge. Furthermore, traditional thermocouples, because they are encased in the insulation layer, will still display lower temperature readings, thus misleading the system into increasing the heating supply. Therefore, it is necessary to find a method that can penetrate the insulation layer and accurately reflect the heat transfer efficiency.

[0026] Specifically, based on the torque, rotational speed, and inlet / outlet temperatures of the mud collected in S1, the mechanical power exerted by the system to propel the mud (the product of torque and rotational speed) is compared with the temperature rise effect (i.e., the absolute value of the inlet / outlet temperature difference) resulting from the actual heat absorption by the mud. If the mechanical power is large but the temperature rise effect is small, it indicates that heat is difficult to transfer to the interior of the mud, meaning the heat conduction channels are blocked; conversely, if a small amount of mechanical power can bring about a significant temperature rise, it indicates that heat transfer is smooth. Based on this principle, the degree of heat conduction blockage is calculated, satisfying the following relationship: In the formula, For the current moment The degree of heat conduction blockage, For the current moment The operating torque of the motor, For the current moment The speed of the motor, For the current moment The temperature of the mud at the inlet of the drying section, For the current moment Temperature of the mud material at the inlet of the drying section. This is the baseline reference torque for the equipment under no-load (no material) operating conditions. This value is measured during no-load operation and stored in the system memory during factory commissioning. This is a preset minimum constant, for example, it can be 0.01.

[0027] In the above relationship, the molecule The denominator represents the total mechanical power expended by the system to propel the mud. This represents the temperature range resulting from the actual heat absorption by the clay. When the numerator is large and the denominator is small, it indicates that the system has exerted significant mechanical effort, but the temperature rise of the clay is poor. This reflects the adverse condition of blocked heat conduction channels. The calculated value under these circumstances... A larger value indicates better heat transfer; conversely, a smaller mechanical power but a significant temperature rise indicates smooth heat transfer. The value is relatively small. As an amplification factor, the current torque is dimensionlessly processed based on the inherent mechanical no-load loss of the equipment, thus eliminating systematic errors caused by different equipment models and wear levels.

[0028] By calculating the degree of heat conduction blockage, a crucial state basis is provided for subsequent energy prediction and feed control.

[0029] S3: Calculate the theoretical energy based on the properties of the clay, and then adjust the theoretical energy by attenuating it in combination with the calculated degree of heat conduction blockage, so as to obtain the expected effective energy.

[0030] In an energy-consumption self-circulating system, the energy released by the pyrolysis in the later stage depends on the gas produced by the pyrolysis of the mud in the earlier stage. However, due to the isolation of physical space, the mud needs to undergo a long transportation process from the front-end drying to the rear-end pyrolysis, resulting in a significant hysteresis effect. More importantly, if the current mud is in a state of high thermal blockage (i.e., as calculated by S2), the energy released will be significantly delayed. The relatively high oil content (or high oil content) means that this batch of mud is extremely difficult to heat, and the time it takes to reach the pyrolysis temperature will be significantly delayed, resulting in a substantial reduction in actual gas production. If the system continues to predict future energy supply based on the theoretical oil content of the mud, it will lead to control decisions that deviate significantly from reality.

[0031] First, based on the oil content of the mud and the instantaneous feed flow rate collected in S1 above, the theoretical energy is calculated. Specifically, the oil content of the mud is multiplied by the instantaneous feed flow rate to obtain the pure oil mass flow rate in the feed mud. Then, the pure oil mass flow rate is multiplied by the preset standard calorific value (representing the heat generated by the complete pyrolysis of a unit mass of oil) to obtain the theoretical energy contained in the mud, which represents the ideal heat production assuming that the mud can be completely pyrolyzed.

[0032] Based on this, the theoretical energy is attenuated and corrected according to the degree of heat conduction blockage calculated by S2 above: the more severe the current heat conduction blockage, the lower the proportion of gas that the mud can actually decompose and produce, so the theoretical energy needs to be discounted; the more the current degree of heat conduction blockage exceeds the benchmark, the greater the discount.

[0033] Therefore, the expected effective energy after attenuation correction can be expressed by the following formula: In the formula, For the current moment Effective energy expectation, The mass flow rate of pure oil in the feed mud. The preset standard calorific value (the amount of heat generated by the complete pyrolysis of a unit mass of oil into gas). For the current moment The degree of heat conduction blockage, The reference thermal impedance constant for system calibration. This represents the maximum value.

[0034] in, That is, the calculated theoretical energy. As an attenuation factor, its function is to correct the theoretical energy based on the current degree of heat conduction blockage. Increase and exceed As the denominator of the attenuation factor increases, the overall fractional value decreases, thus causing the expected effective energy to decay rapidly. This means that the system can recognize in advance that although the mud has a high oil content, the actual usable thermal energy in the future is quite scarce due to the current poor heat transfer efficiency.

[0035] S4: Based on the calculated expected effective energy, reaction system temperature, and degree of heat conduction blockage, calculate the target feed rate and adjust the feed device accordingly to achieve stable energy self-circulation operation.

[0036] In an energy-efficient self-circulating system, when the external auxiliary heat source is cut off, the feed rate becomes the only controllable variable for maintaining the system's energy balance. However, using a single temperature feedback control presents a dilemma: if the feed rate is drastically reduced due to a detected temperature drop, the absolute amount of mud entering the pyrolysis section will be insufficient, leading to a sharp decline in self-produced pyrolysis gas and ultimately system shutdown due to fuel depletion; conversely, if the rated feed rate is forcibly maintained, a large amount of low-temperature, high-viscosity mud will flood into the drying section, instantly absorbing the system's sensible heat, causing a sudden drop in local temperature and exacerbating coking and blockage. Therefore, a composite control model capable of comprehensively assessing energy supply and demand, temperature status, and equipment safety is needed.

[0037] First, the constant target temperature set by the system is obtained and compared with the reaction system temperature collected by S1 above, so as to determine the current operating condition of the system.

[0038] Specifically, when the current reaction system temperature is lower than the constant target temperature, the system is in an under-temperature condition. At this time, it is necessary to calculate the basic heat consumption rate required to raise the system to the constant target temperature. That is, the difference between the constant target temperature and the current reaction system temperature is multiplied by the inherent system heat capacity constant of the equipment. The larger the basic heat consumption rate, the larger the current heat gap.

[0039] When the current reaction system temperature is greater than or equal to the constant target temperature, the system is in an overheating condition with excess heat. At this time, it is necessary to calculate the excess heat storage that exceeds the constant target temperature. That is, the difference between the current reaction system temperature and the constant target temperature is multiplied by the inherent system heat capacity constant of the equipment. The larger the excess heat storage, the more serious the current heat excess.

[0040] Among them, the inherent system heat capacity constant of the equipment characterizes the theoretical heat absorption of the equipment's metal body and constant heat medium under a unit temperature rise.

[0041] Furthermore, after clarifying the current operating conditions and the corresponding heat demand or surplus, it is necessary to compare the predicted future energy with the current heat status to determine the direction of feed rate adjustment.

[0042] Specifically, for under-temperature conditions, the expected effective energy calculated in S3 above is compared with the current required basic heat consumption rate to analyze how many times the future energy will be greater than the current demand. This is achieved by dividing the expected effective energy by the product of a preset hyperparameter and the current required basic heat consumption rate. The result serves as the energy supply and demand driver. The hyperparameter can be set to 0.0001 to prevent the entire fraction from approaching zero and causing excessive decrease in the feed rate when the current required basic heat consumption rate is too high. Furthermore, to prevent the denominator from collapsing when the current required basic heat consumption rate is 0, a very small positive number can be added to the product of the preset hyperparameter and the current required basic heat consumption rate as the denominator for calculation.

[0043] Based on the above calculations of energy supply and demand drivers, if future energy is several times the current demand (ratio much greater than 1), it indicates abundant energy, and the speed can be appropriately increased; if future energy is insufficient to meet current demand (ratio less than 1), it indicates energy shortage, and the speed needs to be actively reduced. Subsequently, the hyperbolic tangent function is used... The first adjustment amount is obtained by smoothly mapping the energy supply and demand drivers, making the adjustment of the material reduction rate more stable.

[0044] For overheating conditions, the excess heat reserve is used as the basis for pressing the feed, achieving the control effect of "the more excess heat, the more forceful the feed reduction rate." Specifically, a preset baseline value, such as 1, is taken as the numerator, and the sum of 1 multiplied by a preset hyperparameter and the current excess heat reserve is taken as the denominator. The result of dividing the two is used as the second adjustment amount. The hyperparameter can be set to 0.0001, which prevents the entire fraction from approaching zero and causing excessive feed rate reduction when the current required basic heat consumption rate is too high. The greater the excess heat, the smaller the second adjustment amount, thereby forcibly reducing the feed rate and blocking the continued influx of high-oil-content sludge from the source, preventing further heat runaway. Here, the numerator 1 represents the baseline state, and the denominator 1 ensures that when the excess heat reserve is zero, the second adjustment amount is 1, i.e., no intervention.

[0045] At the same time, the impact of the changing trend of heat conduction blockage on equipment safety also needs to be considered. Therefore, based on the current time calculated in S2 above... thermal conduction blockage and the previous moment Calculate the overload protection factor.

[0046] The calculation process for the overload protection factor is as follows: First, calculate the current time. The degree of heat conduction blockage is the same as the previous moment. The difference in the degree of heat conduction blockage is used to retain the larger of this difference and 0 through a maximum value function, i.e., only when... The difference between the two values ​​is taken when the condition is met, otherwise it is taken as 0. Then, the value obtained from the maximum value function is added to 1 as the denominator, and 1 is taken as the numerator. The result of dividing the two values ​​is the overload protection factor mentioned above. When the degree of heat conduction blockage has not worsened, the overload protection factor is 1, and the feed rate is not affected. When the degree of blockage worsens, the overload protection factor is converted into a penalty coefficient less than 1. The greater the degree of deterioration, the smaller the factor becomes, and the feed rate is forcibly reduced to avoid the risks of physical blockage and mechanical overload.

[0047] Combining the above factors, the rated baseline feed rate of the equipment (the empirical value preset by the equipment manual) is multiplied by the basic adjustment amount (first adjustment amount or second adjustment amount) determined according to the working conditions and the overload protection factor, respectively, to obtain the target feed rate when the system is in under-temperature condition and the target feed rate when the system is in over-temperature condition.

[0048] Furthermore, after obtaining the target feed rate, it is input as a control command to the field-programmable logic controller (FPGA), which converts it into a standard industrial control signal via a digital-to-analog converter (DAC) and transmits it to the inverter control terminal of the feed device at the drive front end. The inverter dynamically adjusts the operating frequency of the feed drive motor based on the received signal, thereby precisely changing the actual physical feed mass flow rate of the input system and completing the dynamic control of the system's feed quantity.

[0049] Through the above-mentioned layer-by-layer calculations and controls, the system achieves a dynamic balance between energy supply and demand under the constraint of a single controllable variable (feed rate): First, the current operating condition is determined by the temperature deviation, and the heat demand or surplus is calculated. Then, the basic adjustment direction is determined by the constructed energy supply and demand ratio relationship. Next, an overload protection factor based on the changing trend of heat conduction blockage is introduced for safety protection. Finally, the target speed is calculated comprehensively, and actual control is executed. Thus, this invention completes a full closed loop from data acquisition, state perception, energy prediction to final control execution, achieving stable energy self-circulation in the harmless treatment process of oil sludge.

[0050] The present invention also provides an energy-consuming self-circulating control system for the harmless treatment of oil sludge. The system includes a processor and a memory, the memory storing computer program instructions, which, when executed by the processor, implement the energy-consuming self-circulating control method for the harmless treatment of oil sludge according to the first aspect of the present invention.

[0051] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0052] It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of this invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for energy consumption self-circulation control in the harmless treatment of oil sludge, characterized in that, include: Real-time acquisition of sludge properties, motor operation data, sludge inlet and outlet temperatures, and reaction system temperature during the sludge treatment process establishes a foundation for system status perception. The mechanical power is determined based on the motor operating data, and the temperature rise effect is determined based on the inlet and outlet temperatures of the mud. The degree of heat conduction blockage is calculated based on the ratio of the mechanical power to the temperature rise effect. The theoretical energy of the clay is calculated based on its properties, and the theoretical energy is attenuated and corrected according to the degree of heat conduction blockage to obtain the expected effective energy. The reaction system temperature is compared with a preset constant target temperature. If the reaction system temperature is lower than the constant target temperature, the basic heat consumption rate required to raise the system to the constant target temperature is calculated, and the first adjustment amount is calculated in combination with the expected effective energy. If the reaction system temperature is greater than or equal to the constant target temperature, the excess heat storage of the system that exceeds the constant target temperature is calculated, and the second adjustment amount is calculated based on the excess heat storage. Calculate the overload protection factor based on the changing trend of the degree of heat conduction blockage between the current moment and the previous moment; The target feed rate is calculated based on the first or second adjustment amount and the overload protection factor, and the feeding device is adjusted according to the target feed rate to achieve stable energy self-circulation operation of the sludge harmless treatment process.

2. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The motor operating data includes operating torque and speed; the mud properties include oil content and instantaneous feed flow rate.

3. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 2, characterized in that, The calculation of the degree of heat conduction blockage includes: Calculate the absolute value of the difference between the outlet temperature and the inlet temperature of the mud at the current moment; The mechanical power is divided by the absolute value of the difference between the outlet temperature and the inlet temperature of the mud at the current moment, and the resulting value is multiplied by an amplification factor to obtain the degree of heat conduction blockage. The amplification factor is the ratio of the motor's current operating torque to the reference torque under no-load operation.

4. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 2, characterized in that, The calculation of the theoretical energy includes: Multiply the oil content by the instantaneous feed flow rate to obtain the pure oil mass flow rate in the feed mud. The theoretical energy is obtained by multiplying the pure oil mass flow rate by the preset standard calorific value.

5. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The acquisition of the expected effective energy includes: Multiplying the theoretical energy by the attenuation factor yields the expected effective energy. The attenuation factor is calculated by comparing a preset reference thermal impedance constant with the degree of thermal conduction blockage at the current moment.

6. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The specific calculation of the first adjustment amount includes: Divide the expected effective energy by the product of the basic heat consumption rate and the preset hyperparameter to obtain the energy supply and demand driving term; The first adjustment amount is obtained by smoothly mapping the energy supply and demand driving term using the hyperbolic tangent function.

7. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The specific calculation of the second adjustment amount includes: The preset benchmark value is used as the numerator, and the sum of the benchmark value and the preset hyperparameter multiplied by the excess heat storage is used as the denominator. The result of dividing the numerator and the denominator is used as the second adjustment amount.

8. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The acquisition of the overload protection factor includes: Calculate the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment; If the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment is greater than zero, then the reciprocal of the sum of the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment plus 1 is used as the overload protection factor. If the difference between the degree of heat conduction blockage at the current moment and the degree of heat conduction blockage at the previous moment is less than or equal to zero, then the overload protection factor is set to 1.

9. The energy consumption self-circulation control method for the harmless treatment of oil sludge according to claim 1, characterized in that, The acquisition of the target feed rate includes: The target feed rate is obtained by multiplying the rated baseline feed rate of the equipment by the first adjustment amount or the second adjustment amount, and then by the overload protection factor.

10. An energy-efficient self-circulating control system for the harmless treatment of oil sludge, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement the energy consumption self-circulation control method for the harmless treatment of sludge according to any one of claims 1-9.

Images