Equipment control parameter adjusting method and device, equipment and storage medium

Abstract

The invention provides an equipment control parameter adjusting method and device, equipment and a storage medium, relates to the technical field of sludge drying treatment, and solves the problem that a sludge drying equipment control scheme in the related technology easily causes a poor sludge drying effect. The method comprises the following steps: predicting the temperature of the sludge drying equipment, determining the total heat required in the sludge drying treatment process by utilizing the predicted temperature, and selecting a corresponding control strategy according to the total heat, so that the working states of a compressor and an electric heater in the equipment are adjusted, the control optimization of the sludge drying equipment is realized, and a control scheme can be more adaptive to the change of sludge in the sludge drying treatment process. The sludge drying effect is effectively improved.

Description

Technical Field

[0001] This application relates to the field of sludge drying and treatment technology, and in particular to a method, apparatus, equipment and storage medium for adjusting equipment control parameters. Background Technology

[0002] Sludge drying, an indispensable part of wastewater treatment, has received widespread attention in the environmental protection field in recent years. Traditional sludge drying methods mainly include thermal drying, solar drying, and mechanical dewatering. Thermal drying technology is widely used in industrial-scale sludge treatment due to its high efficiency and stability. In related technologies, for energy-saving design, the number of compressors in traditional sludge dryers has been halved from four to two, and electric heating has been added as an auxiliary process. A simple control strategy is used to turn the electric heating on or off, such as turning it on when the outlet air temperature is lower than the target temperature and turning it off when it is higher than the target temperature.

[0003] In response, the relevant technical solutions are prone to causing the electric heater to frequently switch on and off at the threshold boundary. Frequent start-ups and shutdowns of the electric heater lead to poor system stability and a severe reduction in equipment lifespan. Moreover, the fixed threshold control scheme cannot adapt to changes in operating conditions, resulting in poor sludge drying effect. Summary of the Invention

[0004] This application provides a method, apparatus, equipment, and storage medium for adjusting equipment control parameters, which solves the problem that the control scheme of sludge drying equipment in related technologies is prone to lead to poor sludge drying effect. This scheme determines the total heat of the sludge drying process by predicting the core temperature of the sludge and coordinating with the temperature changes detected by the sensor, so as to dynamically adjust the control strategy and effectively improve the sludge drying effect.

[0005] In a first aspect, this application provides a method for adjusting equipment control parameters, applied to sludge drying equipment. The sludge drying equipment is equipped with multiple sensors to acquire sensor data. The method includes: Based on the acquired sensor data, the initial core temperature, surface temperature and sludge density of the current batch of sludge are determined, and the inlet temperature, outlet temperature, ambient temperature and the corresponding moisture evaporation rate of the sludge drying equipment are determined. In response to the moisture evaporation rate, sludge density, surface temperature and ambient temperature determined by the current sensor data, the temperature prediction value of the corresponding sludge core temperature is determined by a preset heat conduction physical model. The heat conduction physical model is used to predict the sludge core temperature after a preset drying treatment time. The product of sludge quality, temperature change rate, and preset sludge specific heat capacity is determined and used as the sensible heat requirement of sludge. The temperature change rate is determined based on the initial core temperature, the predicted temperature value, and the drying treatment time. In response to the inlet temperature, outlet temperature and ambient temperature determined by the current sensor data, the system heat loss and sensible heat of the air are determined, with the system heat loss being the heat loss determined based on the inlet temperature and ambient temperature, and the sensible heat of the air being the heat loss determined based on the inlet temperature and outlet temperature. The heat consumption for water evaporation is determined based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature. The total heat is determined by summing the sensible heat demand of sludge, the heat loss of the system, the sensible heat of air, and the heat loss due to water evaporation. Based on the heat range in which the total heat is located, the corresponding compressor operating mode and electric heating power operating control strategy are determined. Different heat ranges are associated with different operating control strategies.

[0006] Secondly, this application also provides a device for adjusting equipment control parameters, applied to sludge drying equipment. The sludge drying equipment is equipped with multiple sensors to acquire sensor data. The device includes: The data acquisition module is configured to determine the initial core temperature, surface temperature, and sludge density of the current batch of sludge based on the acquired sensor data, and to determine the inlet temperature, outlet temperature, ambient temperature, and corresponding moisture evaporation rate of the sludge drying equipment for the current batch of sludge. The temperature prediction module is configured to determine the predicted temperature value of the corresponding sludge core temperature in response to the water evaporation rate, sludge density, surface temperature and ambient temperature determined by the current sensor data, and to use a preset heat conduction physical model to predict the sludge core temperature after a preset drying treatment time. The first heat determination module is configured to determine the product of sludge mass, temperature change rate and preset sludge specific heat capacity as the sensible heat demand of sludge. The temperature change rate is determined based on the initial core temperature, the predicted temperature value and the drying treatment time. The second heat determination module is configured to determine the system heat loss and sensible heat of the air in response to the inlet temperature, outlet temperature and ambient temperature determined by the current sensor data. The system heat loss is the heat loss determined based on the inlet temperature and ambient temperature, and the sensible heat of the air is the heat loss determined based on the inlet temperature and outlet temperature. The third heat determination module is configured to determine the heat consumption of water evaporation based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature. The total heat determination module is configured to determine the cumulative sum of the sensible heat demand of sludge, the heat loss of the system, the sensible heat of air, and the heat loss due to water evaporation as the total heat. The control optimization module is configured to determine the corresponding compressor operating mode and electric heating power operating control strategy based on the heat range in which the total heat is located. Different heat ranges are associated with different operating control strategies.

[0007] Thirdly, this application also provides a sludge drying device, which includes: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, enable the one or more processors to implement the device control parameter adjustment method of this application.

[0008] Fourthly, this application also provides a storage medium for storing computer-executable instructions, which, when executed by a processor, are used to perform the device control parameter adjustment method of this application.

[0009] This application proposes a solution that predicts the core temperature of sludge during the sludge drying process, then uses the predicted temperature to determine the total heat required for the sludge drying process, and selects a corresponding control strategy based on the total heat required to adjust the working status of the compressor and electric heater within the equipment. This optimizes the control of the sludge drying equipment, making the control scheme more adaptable to changes in sludge during the sludge drying process and effectively improving the sludge drying effect. Attached Figure Description

[0010] Figure 1 A schematic diagram illustrating the steps of a device control parameter adjustment method provided in an embodiment of this application.

[0011] Figure 2 This is a schematic diagram illustrating the steps of configuring and operating a control strategy according to an embodiment of this application.

[0012] Figure 3 This is a schematic diagram illustrating the steps for configuring the electric heating operating power according to an embodiment of this application.

[0013] Figure 4 This is a schematic diagram of the structure of a device for adjusting equipment control parameters provided in an embodiment of this application.

[0014] Figure 5 This is a schematic diagram of the structure of a sludge drying device provided in an embodiment of this application. Detailed Implementation

[0015] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the embodiments of the present application and are not intended to limit the scope of the present application. Furthermore, it should be noted that, for ease of description, the accompanying drawings only show the parts relevant to the embodiments of the present application, and not all structures. Those skilled in the art, after reading this specification, should be able to deduce that any combination of technical features can constitute an optional implementation method, provided that the technical features do not contradict each other.

[0016] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects, not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class, not limited in number; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship. In the description of this application, "multiple" means two or more, and "several" means one or more.

[0017] Sludge drying, an indispensable part of wastewater treatment, has received widespread attention in the environmental protection field in recent years. Traditional sludge drying methods mainly include thermal drying, solar drying, and mechanical dewatering. Thermal drying technology is widely used in industrial-scale sludge treatment due to its high efficiency and stability. In sludge drying equipment, sludge is conveyed into the drying chamber via a conveyor belt, and dry hot air is introduced to dry the sludge, thus achieving sludge drying. Furthermore, in related technologies, for energy-saving design, the number of compressors in traditional sludge dryers is halved from four to two, and electric heating (also known as high-frequency heating machine, high-frequency induction heating equipment, etc.) is added to assist drying. The on / off control strategy for electric heating is simple, such as turning on the electric heating when the outlet air temperature is lower than the target temperature and turning it off when it is higher than the target temperature. However, this technical solution easily leads to frequent switching of the electric heating at threshold boundaries. Frequent start-stop of the electric heating results in poor system stability and a severely shortened equipment lifespan. Moreover, the fixed threshold control scheme cannot adapt to changes in operating conditions, leading to poor sludge drying results.

[0018] To address this issue, this application provides a method for adjusting equipment control parameters. This method is applied to a sludge drying equipment, which includes at least two compressors and is equipped with electric heating to assist in the sludge drying process. Furthermore, the sludge drying equipment is equipped with multiple sensors to acquire sensor data, such as temperature sensors and weight sensors. For example, temperature sensors are installed at the outlet and inlet of the drying chamber of the sludge drying equipment, and a weight sensor is installed at the inlet of the conveyor belt, so as to detect temperature and weight information through the sensors and use this as sensor data.

[0019] Figure 1 The figure illustrates the steps of a device control parameter adjustment method provided in an embodiment of this application. After acquiring sensor data, the sludge drying equipment can predict the core temperature of the sludge based on a preset heat conduction model and calculate the corresponding total heat. The corresponding control parameters are then adjusted according to the total heat to control the sludge drying process. Specifically, steps S110-S170 are included: Step S110: Based on the acquired sensor data, determine the initial core temperature, surface temperature and sludge density of the current batch of sludge, and determine the inlet temperature, outlet temperature, ambient temperature and the corresponding moisture evaporation rate of the sludge drying equipment.

[0020] After acquiring sensor data, for the current batch of sludge, the sludge drying equipment determines the initial core temperature, surface temperature, and sludge density from the sensor data. It also determines the inlet temperature, outlet temperature, and ambient temperature of the sludge drying equipment, for example, by checking the data detected by temperature sensors located at corresponding positions. It is conceivable that each batch of sludge has a preset moisture content requirement. Accordingly, the sludge drying equipment adjusts its control parameters to ensure the sludge moisture content meets the requirement. Therefore, the moisture evaporation rate for each batch of sludge can be the same or different; the specific moisture evaporation rate can be detected by an evaporation rate sensor.

[0021] Step S120: In response to the moisture evaporation rate, sludge density, surface temperature and ambient temperature determined by the current sensor data, determine the predicted temperature value of the corresponding sludge core temperature by using a preset heat conduction physical model.

[0022] The heat conduction physical model is used to predict the core temperature of the sludge after a preset drying time. It is conceivable that the heat conduction physical model can be expressed mathematically. After determining variables such as water evaporation rate, sludge density, surface temperature, and ambient temperature, the predicted sludge core temperature, i.e., the predicted temperature value, can be obtained through calculation. Moreover, the heat conduction physical model is obtained by discretizing the unsteady-state heat conduction equation; based on its discretized form, the relationship between the predicted temperature value and the aforementioned variables can be determined.

[0023] Optionally, the heat conduction physical model also relates to the sludge thermal conductivity, sludge specific heat capacity, convective heat transfer coefficient, and water vaporization latent heat. These parameters are treated as constants and can be pre-stored in the storage device of the sludge drying equipment for use when predicting the core temperature of the sludge. Specifically, the predicted temperature value is based on the accumulation and determination of multiple parameters, and the corresponding calculation formula is as follows:

[0024] ,

[0025] Among them, T core_pred T is the predicted temperature value. surface For surface temperature, T core_init T is the initial core temperature. air The ambient temperature is ρ, the sludge density is c. ρ ρ is the specific heat capacity of sludge, α is the thermal diffusivity, Δt is the drying time, Δx is the sludge thickness, h is the convective heat transfer coefficient, λ is the latent heat of vaporization of water, and m v This represents the water evaporation rate.

[0026] Therefore, corresponding to the first temperature parameter, the sludge thermal conductivity k and the corresponding sludge density ρ and sludge specific heat capacity c are determined. ρ The ratio of the product of the drying time Δt and the sludge thickness Δx is used as the thermal diffusivity α, and the product of the ratio of the drying time Δt to the sludge thickness Δx and the thermal diffusivity α is used as the first reference coefficient; then, the corresponding surface temperature T is determined. surface and initial core temperature T core_init The product of the temperature difference value and the first reference coefficient is used as the first temperature parameter.

[0027] Based on the second temperature parameter, determine the drying time Δt and the corresponding sludge density ρ and sludge specific heat capacity c. ρ The ratio of the product values ​​is used as the second reference coefficient β, and the initial core temperature T is used as the ratio of the product values. core_init With ambient temperature T airThe product of the difference, the second reference coefficient β, and the preset convective heat transfer coefficient h is used as the second temperature parameter. Corresponding to the third temperature parameter, the second reference coefficient β and the moisture evaporation rate m are determined. v The product of the preset latent heat of water vaporization λ and the value of the third temperature parameter is used. Then, the initial core temperature T is determined. core_init The sum of the first, second, and third temperature parameters is used as the predicted temperature value T. core_pred .

[0028] To address this, this solution uses a constructed physical model of heat conduction to predict the core temperature of the sludge after a certain drying time, based on the acquired sensor data and relevant sludge parameters. This provides a corresponding temperature prediction value, which facilitates the calculation of heat generated during the sludge drying process and helps to better determine the control strategy for the sludge drying process.

[0029] Optionally, stability conditions can be set for the heat conduction physical model, such as limiting the value of the first reference coefficient to less than or equal to 0.5, to ensure model stability and improve prediction accuracy. Furthermore, to better predict the core temperature of the sludge, the equipment can also correct the temperature prediction value according to a preset correction value to determine the final temperature prediction value. This correction value is a fixed value, which can be determined based on historical experience or by training a pre-built neural network model using sample data including prediction errors, enabling the model to output a corresponding value, which is then used as the correction value.

[0030] Step S130: Determine the product of sludge mass, temperature change rate, and preset sludge specific heat capacity, and use it as the sensible heat requirement of sludge.

[0031] It can be assumed that the temperature change rate is determined based on the initial core temperature, the predicted temperature, and the drying treatment time. Specifically, the difference between the predicted temperature and the initial core temperature is divided by the drying treatment time to obtain the temperature change per unit time, i.e., the aforementioned temperature change rate. The sensible heat demand of the sludge, which is the amount of heat required for the sludge to reach the predicted temperature, can be calculated by multiplying the sludge mass, the temperature change rate, and the preset specific heat capacity of the sludge. This product can be used as the sensible heat demand of the sludge, and the corresponding formula is as follows:

[0032]

[0033] Among them, Q sludge For the sensible heat requirement of sludge, m sludge The weight of the sludge. This represents the rate of temperature change.

[0034] The sensible heat demand of sludge is related to the rate of temperature change; as the rate of temperature change increases, the required heat is also higher. Therefore, by calculating the heat required to heat the sludge to the predicted temperature, this solution allows for better adjustment of the corresponding control parameters, ensuring that the compressor and electric heater can meet the current operating requirements.

[0035] Step S140: In response to the inlet temperature, outlet temperature and ambient temperature determined by the current sensor data, determine the system heat loss and sensible heat of the air.

[0036] The system heat loss is determined based on the inlet and ambient temperatures. It represents the heat loss due to temperature differences between the inside and outside of the equipment, such as heat loss caused by equipment dissipation. The sensible heat of the air is determined based on the inlet and outlet temperatures. It represents the heat absorbed by the air, and the equipment also calculates this portion of the heat loss. Furthermore, by using the inlet and outlet temperatures determined from sensor data, the air temperature before entering the equipment and the air temperature after leaving the equipment can be detected. The corresponding sensible heat of the air can then be calculated using these inlet and outlet temperatures.

[0037] Optionally, for the system heat loss, the equipment determines the first difference between the inlet temperature and the ambient temperature, and uses the product of the first difference, the preset heat transfer coefficient, and the heat dissipation area as the system heat loss. The corresponding calculation formula is as follows:

[0038] Among them, Q loss The heat loss of the system is represented by U, and the heat transfer coefficient is A. loss For heat dissipation area, T air_in T is the inlet temperature. ambient The ambient temperature is used. It should be noted that the heat transfer coefficient and heat dissipation area are related to the sludge drying equipment and can be determined by the actual equipment model or material used.

[0039] As for the sensible heat of the air, the equipment determines the second difference between the inlet and outlet temperatures, and uses the product of this second difference, air density, air specific heat capacity, and the preset air flow rate as the sensible heat of the air. The corresponding calculation formula is as follows:

[0040] Among them, Q sensible For sensible heat of air, ρ air V is the density of air. air For airflow, c ρ_air T is the specific heat capacity of air. air_in T is the inlet temperature. air_outThe outlet temperature is used. By calculating the system's heat loss and the sensible heat of the air, the equipment can better determine the total heat demand, thereby better configuring control parameters to meet the needs of sludge drying treatment and improve the sludge drying effect.

[0041] Step S150: Determine the heat consumption for water evaporation based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature.

[0042] Similarly, the evaporation of water during the drying process is an endothermic process, and the heat loss in this part also needs to be determined. For this, the saturated vapor pressure is temperature-dependent; specifically, the first saturated vapor pressure is related to the surface temperature, and the second saturated vapor pressure is related to the inlet temperature. Then, based on the first and second saturated vapor pressures, the corresponding heat loss for water evaporation is calculated.

[0043] Optionally, the pressure difference between the first saturated water vapor pressure and the second saturated water vapor pressure is determined, and the product of the pressure difference, the corresponding sludge mass transfer coefficient, the preset evaporation area, and the preset latent heat of water vaporization is used as the heat consumption for water evaporation. To this end, the heat consumption for water evaporation is calculated based on the pressure difference between the first and second saturated water vapor pressures, using the following formula:

[0044]

[0045] Among them, Q evap The heat consumed by water evaporation, k m λ is the mass transfer coefficient, A is the evaporation area, and λ is the latent heat of vaporization of water. The first saturated water vapor pressure, This represents the second saturated water vapor pressure. The mass transfer coefficient of the sludge is a fixed value, while the evaporation area can be determined according to the equipment model. For example, the area of ​​the conveyor belt within the sludge drying equipment can be used as the evaporation area. Different models of equipment have different conveyor belts and equipment dimensions, resulting in different evaporation areas. Therefore, by calculating the heat consumption for water evaporation, the equipment can better determine the total heat demand, thereby better configuring control parameters to meet the needs of sludge drying treatment and improve the sludge drying effect.

[0046] Step S160: Determine the total heat by summing the sensible heat demand of sludge, the heat loss of the system, the sensible heat of air, and the heat loss due to water evaporation.

[0047] After determining the sensible heat demand of sludge, the heat loss of the system, the sensible heat of the air, and the heat consumption of water evaporation, the cumulative sum of the sensible heat demand of sludge, the heat loss of the system, the sensible heat of the air, and the heat consumption of water evaporation is calculated. This cumulative sum is then used as the total heat, which determines the total heat required to raise the core temperature of the sludge from the initial core temperature to the predicted temperature value, and thus selects the corresponding configuration strategy.

[0048] Step S170: Determine the corresponding compressor operating mode and electric heating power operation control strategy based on the heat range in which the total heat is located.

[0049] It is conceivable that the heat range is divided into multiple intervals, with different intervals associated with different operational control strategies. Furthermore, the endpoints of each interval (i.e., the corresponding heat values) can be set based on actual application requirements. After determining the total heat, the sludge drying equipment identifies the heat range within which it falls and then selects the corresponding operational control strategy to control the operating status of the compressor and electric heater, such as controlling whether the compressor operates and its operating frequency, and controlling whether the electric heater operates and its operating power. For total heat falling into different intervals, the equipment has pre-set different control strategies and adjusts the compressor and electric heater to adapt to the total heat demand.

[0050] As can be seen from the above scheme, this scheme predicts the core temperature of sludge during the sludge drying process, then uses the predicted temperature to determine the total heat required for the sludge drying process, and selects the corresponding control strategy according to the total heat, thereby adjusting the working status of the compressor and electric heater in the equipment, realizing the control optimization of the sludge drying equipment, so that the control scheme can better adapt to the changes of sludge during the sludge drying process, and effectively improve the sludge drying effect.

[0051] In one embodiment, the heat ranges are divided into a first range, a second range, a third range, and a fourth range from low to high. Each range corresponds to a heat range and is also equipped with different control strategies to control the compressor and electric heating and adjust the corresponding control parameters. Figure 2 The figure shows a schematic diagram of the steps for configuring an operation control strategy according to an embodiment of this application. After determining the total heat, the range in which the total heat is located is determined, and the control parameters of the equipment are adjusted based on the control strategy corresponding to the range. The specific steps include steps S210-S240: Step S210: When the total heat is in the first range, determine that any compressor is operating at a variable frequency within the first frequency range and turn off the electric heating.

[0052] Step S220: When the total heat is in the second range, determine that the currently running compressor is running at a fixed frequency, and determine the electric heating power based on the difference between the temperature prediction value and the target temperature.

[0053] Step S230: When the total heat is in the third range, determine that the currently running compressor is running at a fixed frequency and start another compressor to run at a variable frequency in the second frequency range, and determine the electric heating power based on the difference between the temperature prediction value and the target temperature.

[0054] Step S240: When the total heat is in the fourth range, determine that the two compressors are running at the highest frequency and the electric heating is started at the maximum power.

[0055] It is conceivable that the values ​​in the first interval are less than those in the second interval, the values ​​in the second interval are less than those in the third interval, and the values ​​in the third interval are less than those in the fourth interval. Furthermore, the sludge drying equipment includes at least two compressors and is equipped with electric heating to assist in sludge drying. Taking the example of an equipment with electric heating and two compressors, when the total heat is in the first interval, the equipment only needs to start either of the two compressors. The started compressor operates at a variable frequency within the first frequency range. Optionally, the variable frequency operation control can be based on a traditional PID control method to ensure the compressor operates within this first frequency range. Moreover, in this case, there is no need to start the electric heating. Therefore, in practical applications, control parameters in the energy-saving operation mode can be configured according to the above control strategy. When the total heat is in the first interval, the energy-saving operation mode is activated, and the operating status of the compressor and electric heating is adjusted according to the corresponding control parameters.

[0056] When the total heat is in the second range, the equipment determines that the currently operating compressor runs at a fixed frequency, which is greater than any frequency within the first frequency range. That is, under the current conditions, the compressor operates at a fixed frequency, and the electric heater is also activated. Accordingly, the equipment determines the electric heater's operating power based on the difference between the predicted temperature and the target temperature. It is conceivable that in practical applications, control parameters in the economic operation mode can be configured according to the above control strategy to activate the economic operation mode when the total heat is in the second range, adjusting the operating status of the compressor and electric heater according to the corresponding control parameters.

[0057] Furthermore, when the total heat is in the third range, the equipment starts two compressors, with one compressor operating at a fixed frequency and the other operating at a variable frequency. For example, the currently running compressor operates at a fixed frequency, and the other compressor is started operating at a variable frequency within the second frequency range. The starting frequency of the second frequency range is the same as the starting frequency of the first frequency range, and the ending frequency of the second frequency range is a fixed frequency. Therefore, the second frequency range completely covers the first frequency range and is larger than the first frequency range, allowing the compressor to operate dynamically within a wider frequency range. Similarly, in this case, the equipment also starts electric heating, and the electric heating power is determined based on the difference between the predicted temperature and the target temperature, so that electric heating can better assist in sludge drying. In practical applications, the control parameters in the standard operating mode can be configured according to the above control strategy. When the total heat is in the third range, the standard operating mode is activated, and the operating status of the compressor and electric heating is adjusted according to the corresponding control parameters.

[0058] Furthermore, when the total heat demand is in the fourth range, the equipment determines that both compressors operate at their highest frequency and the electric heater is activated at maximum power. In this case, both compressors operate at full frequency, specifically at their highest frequency, and the electric heater operates at maximum power, thus providing more heat for sludge drying when the total heat demand is high. It is conceivable that in practical applications, the control parameters in the enhanced operation mode can be configured according to the above control strategy to activate the enhanced operation mode when the total heat demand is in the fourth range, adjusting the operating status of the compressors and electric heater according to the corresponding control parameters.

[0059] Therefore, by configuring corresponding control strategies for different heat ranges, this solution can select the corresponding control strategy based on the total heat to adjust the working status of the compressor and electric heater, thereby optimizing the control of the sludge drying equipment and helping to improve the sludge drying effect.

[0060] Figure 3 The schematic diagram of the steps for configuring the electric heating power according to an embodiment of this application is shown in the figure. For adjusting the electric heating power, the equipment determines the power based on a predicted temperature and a target temperature. The target temperature is a preset temperature during the sludge drying process. The electric heating power is determined by calculating the difference between the predicted temperature and the target temperature, and the specific steps include steps S310-S330: Step S310: If the difference between the predicted temperature and the target temperature is less than or equal to the first preset threshold, determine the sum of the product of the preset proportional coefficient and the difference and the preset reference power as the electric heating working power.

[0061] Step S320: If the difference between the predicted temperature and the target temperature is greater than the first preset threshold and less than or equal to the second preset threshold, determine the preset proportional coefficient that decreases over time, and update the electric heating power according to the latest preset proportional coefficient.

[0062] Step S330: If the difference between the predicted temperature and the target temperature is greater than the second preset threshold, determine the preset ratio of the rated power as the electric heating working power.

[0063] Understandably, the first and second preset thresholds are used as preset parameters. To determine the difference between the predicted temperature and the target temperature, this difference is compared with the first and second preset thresholds respectively to determine the corresponding control strategy. When the difference is less than or equal to the first preset threshold, the configured electric heating power is the sum of the product of the preset proportional coefficient and the difference, and the preset reference power. The corresponding calculation formula is as follows:

[0064] Among them, P eh P is the operating power for electric heating. base K is the preset reference power. s Here, ΔT is the preset proportional coefficient, and ΔT is the difference between the predicted temperature and the target temperature. Therefore, after determining the difference between the predicted and target temperatures, and ensuring that this difference is less than or equal to a first preset threshold, the corresponding electric heating power can be calculated based on the above formula. It is conceivable that when the difference is less than or equal to the first preset threshold, fine-tuning of the electric heating may be necessary. This is applicable to the stable operation period or the later stage of sludge drying. Optionally, in practical applications, a corresponding adjustment cycle can be set to readjust the electric heating power within each adjustment cycle.

[0065] When the difference is greater than the first preset threshold and less than or equal to the second preset threshold, the preset proportional coefficient is a coefficient that decreases over time. That is, the preset proportional coefficient gradually decreases within the control cycle, thereby causing the rate of change of the electric heating power to decrease over time. Therefore, after determining the latest preset proportional coefficient, the electric heating power is determined based on the latest preset proportional coefficient, and the corresponding formula is as follows:

[0066] Among them, P i P represents the current electric heating power. i-1 K represents the electric heating power at the previous moment. s_i This is the latest preset scaling factor at the current moment. Optionally, for a preset scaling factor that decreases over time, its value can decrease at a fixed slope or at a varying slope.

[0067] When the difference exceeds a second preset threshold, the equipment operates the electric heating at a fixed power, such as determining a preset proportion of the rated power as the electric heating operating power. For example, if the preset proportion is 80% and the rated power is 7.5kW, the corresponding determined electric heating power is 6kW. It is conceivable that in scenarios with a large difference, the predicted sludge core temperature differs significantly from the target temperature, such as during the preheating period or load change period in the sludge drying process. In such cases, the equipment operates the electric heating at a fixed power to raise the sludge temperature more quickly. Therefore, this solution, after determining the total heat, uses precise control of the electric heating to allow the equipment to better adjust the compressor and electric heating to adapt to the sludge drying process, thereby contributing to better sludge drying results.

[0068] Figure 4 This is a schematic diagram of a device for adjusting equipment control parameters according to an embodiment of this application. The device is applied to a sludge drying equipment, which is equipped with multiple sensors to acquire sensor data. The device also has functional modules for executing methods and provides beneficial effects. As shown in the figure, the device for adjusting equipment control parameters includes a data acquisition module 401, a temperature prediction module 402, a first heat determination module 403, a second heat determination module 404, a third heat determination module 405, a total heat determination module 406, and a control optimization module 407.

[0069] The data acquisition module 401 is configured to determine the initial core temperature, surface temperature and sludge density of the current batch of sludge based on the acquired sensor data, and to determine the inlet temperature, outlet temperature, ambient temperature and the corresponding moisture evaporation rate of the sludge drying equipment. The temperature prediction module 402 is configured to, in response to the moisture evaporation rate, sludge density, surface temperature and ambient temperature determined by the current sensor data, determine the temperature prediction value of the corresponding sludge core temperature through a preset heat conduction physical model. The heat conduction physical model is used to predict the sludge core temperature after a preset drying treatment time. The first heat determination module 403 is configured to determine the product of sludge mass, temperature change rate and preset sludge specific heat capacity and use it as the sensible heat demand of sludge. The temperature change rate is determined based on the initial core temperature, the predicted temperature value and the drying treatment time. The second heat determination module 404 is configured to determine the system heat loss and sensible heat of the air in response to the inlet temperature, outlet temperature and ambient temperature determined by the current sensor data. The system heat loss is the heat loss determined based on the inlet temperature and ambient temperature, and the sensible heat of the air is the heat loss determined based on the inlet temperature and outlet temperature. The third heat determination module 405 is configured to determine the heat consumption of water evaporation based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature. The total heat determination module 406 is configured to determine the cumulative sum of the sensible heat demand of sludge, the heat loss of the system, the sensible heat of air, and the heat loss due to water evaporation as the total heat. The control optimization module 407 is configured to determine the corresponding compressor operating mode and electric heating power operating control strategy based on the heat range in which the total heat is located. Different heat ranges are associated with different operating control strategies.

[0070] Based on the above embodiments, the temperature prediction module 402 is specifically configured as follows: The ratio of the thermal conductivity of sludge to the product of the corresponding sludge density and the specific heat capacity of sludge is determined as the thermal diffusivity, and the product of the ratio of the drying time to the sludge thickness and the thermal diffusivity is used as the first reference coefficient. The product of the temperature difference between the corresponding surface temperature and the initial core temperature and the first reference coefficient is determined as the first temperature parameter; The ratio of the drying treatment time to the product of the corresponding sludge density and the sludge specific heat capacity is determined as the second reference coefficient, and the product of the difference between the initial core temperature and the ambient temperature, the second reference coefficient, and the preset convective heat transfer coefficient is used as the second temperature parameter. The product of the second reference coefficient, the water evaporation rate, and the preset latent heat of water vaporization is determined as the third temperature parameter; The initial core temperature, the first temperature parameter, the second temperature parameter, and the third temperature parameter are cumulatively summed and used as the predicted temperature value.

[0071] Based on the above embodiments, the temperature prediction module 402 is further configured as follows: The temperature prediction value is corrected according to the preset correction value to determine the final temperature prediction value.

[0072] Based on the above embodiments, the second heat determination module 404 is specifically configured as follows: Determine the first difference between the inlet temperature and the ambient temperature, and use the product of the first difference, the preset heat transfer coefficient, and the heat dissipation area as the system heat loss. Determine the second difference between the inlet temperature and the outlet temperature, and use the product of the second difference, air density, air specific heat capacity, and preset air flow rate as the sensible heat of the air.

[0073] Based on the above embodiments, the third heat determination module 405 is specifically configured as follows: Determine the pressure difference between the first saturated water vapor pressure and the second saturated water vapor pressure; The product of the pressure difference, the corresponding sludge mass transfer coefficient, the preset evaporation area, and the preset latent heat of water vaporization is used as the heat consumption for water evaporation.

[0074] Based on the above embodiments, the heat ranges from low to high are the first range, the second range, the third range, and the fourth range. The control optimization module 407 is specifically configured as follows: When the total heat is within the first range, determine that any one compressor will operate at a variable frequency within the first frequency range and turn off the electric heating. When the total heat is in the second range, the compressor is determined to operate at a fixed frequency, and the electric heating power is determined based on the difference between the predicted temperature and the target temperature. The fixed frequency is greater than any frequency in the first frequency range. When the total heat is in the third range, the currently running compressor is determined to run at a fixed frequency and another compressor is started to run at a variable frequency in the second frequency range. The electric heating power is determined based on the difference between the temperature prediction value and the target temperature. The starting frequency of the second frequency range is the same as the starting frequency of the first frequency range and the ending frequency of the second frequency range is a fixed frequency. With the total heat in the fourth range, both compressors are set to operate at the highest frequency and the electric heater is started at maximum power.

[0075] Based on the above embodiments, the control optimization module 407 is further configured as follows: If the difference between the predicted temperature and the target temperature is less than or equal to the first preset threshold, the sum of the product of the preset proportional coefficient and the difference and the preset reference power is determined as the electric heating working power. If the difference between the predicted temperature and the target temperature is greater than the first preset threshold and less than or equal to the second preset threshold, a preset proportional coefficient that decreases over time is determined, and the electric heating power is updated according to the latest preset proportional coefficient. If the difference between the predicted temperature and the target temperature is greater than the second preset threshold, a preset proportion of the rated power is determined as the electric heating working power.

[0076] It is worth noting that in the embodiments of the above-mentioned device, the modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each module are only for easy differentiation and are not used to limit the protection scope of the embodiments of this application.

[0077] Figure 5This is a schematic diagram of a sludge drying device provided in an embodiment of this application. The device is used to execute the device control parameter adjustment method provided in the above embodiment and has corresponding functional modules and beneficial effects for executing the method. As shown in the figure, the device includes a processor 501, a memory 502, an input device 503, and an output device 504. The number of processors 501 can be one or more; one processor 501 is shown as an example in the figure. The processor 501, memory 502, input device 503, and output device 504 can be connected via a bus or other means; a bus connection is shown as an example in the figure. The memory 502, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the device control parameter adjustment method in the embodiments of this application. The processor 501 executes various corresponding functional applications and data processing by running the software programs, instructions, and modules stored in the memory 502, thereby realizing the above-mentioned device control parameter adjustment method.

[0078] The memory 502 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data recorded or created during use. Furthermore, the memory 502 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 502 may further include memory remotely configured relative to the processor 501, which can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0079] The input device 503 can be used to input corresponding digital or character information to the processor 501, and to generate key signal inputs related to the user settings and function control of the device; the output device 504 can be used to send or display key signal outputs related to the user settings and function control of the device.

[0080] This application also provides a storage medium storing computer-executable instructions, which, when executed by a processor, are used to perform related operations in the device control parameter adjustment method provided in any embodiment of this application.

[0081] Computer-readable storage media include both permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0082] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0083] Note that the above description is merely a preferred embodiment and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments. Many other equivalent embodiments may be included without departing from the concept of this application, and the scope of this application is determined by the scope of the appended claims.

Claims

1. A method for adjusting equipment control parameters, characterized in that, The method, applied to sludge drying equipment equipped with multiple sensors to acquire sensor data, includes: Based on the acquired sensor data, the initial core temperature, surface temperature and sludge density of the current batch of sludge are determined, and the inlet temperature, outlet temperature, ambient temperature and the corresponding moisture evaporation rate of the sludge drying equipment are determined. In response to the moisture evaporation rate, sludge density, surface temperature and ambient temperature determined by the current sensor data, a temperature prediction value for the corresponding sludge core temperature is determined by a preset heat conduction physical model, which is used to predict the sludge core temperature after a preset drying treatment time. The product of sludge quality, temperature change rate, and preset sludge specific heat capacity is determined and used as the sensible heat requirement of sludge. The temperature change rate is determined based on the initial core temperature, the predicted temperature value, and the drying treatment time. In response to the inlet temperature, the outlet temperature, and the ambient temperature determined by current sensor data, the system heat loss and the sensible heat of the air are determined, wherein the system heat loss is the heat loss determined based on the inlet temperature and the ambient temperature, and the sensible heat of the air is the heat loss determined based on the inlet temperature and the outlet temperature. The heat consumption for water evaporation is determined based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature. The total heat is determined by summing the sensible heat demand of the sludge, the heat loss of the system, the sensible heat of the air, and the heat loss due to water evaporation. Based on the heat range in which the total heat is located, the corresponding compressor operating mode and electric heating power operating control strategy are determined, with different heat ranges associated with different operating control strategies.

2. The method for adjusting equipment control parameters according to claim 1, characterized in that, The step of determining a predicted temperature value for the corresponding sludge core temperature using a preset thermal conduction physical model, based on the moisture evaporation rate, sludge density, surface temperature, and ambient temperature determined from current sensor data, includes: The ratio of the sludge thermal conductivity to the product of the sludge density and the sludge specific heat capacity is determined as the thermal diffusivity, and the product of the ratio of the drying time to the sludge thickness and the thermal diffusivity is determined as the first reference coefficient. The product of the temperature difference between the surface temperature and the initial core temperature and the first reference coefficient is determined as the first temperature parameter; The ratio of the drying treatment time to the product of the sludge density and the sludge specific heat capacity is determined as the second reference coefficient, and the product of the difference between the initial core temperature and the ambient temperature, the second reference coefficient, and the preset convective heat transfer coefficient is determined as the second temperature parameter. The product of the second reference coefficient, the water evaporation rate, and the preset latent heat of water vaporization is determined as the third temperature parameter; The sum of the initial core temperature, the first temperature parameter, the second temperature parameter, and the third temperature parameter is determined and used as the predicted temperature value.

3. The method for adjusting equipment control parameters according to claim 2, characterized in that, Also includes: The temperature prediction value is corrected according to a preset correction value to determine the final temperature prediction value.

4. The method for adjusting equipment control parameters according to claim 1, characterized in that, The determination of system heat loss and sensible heat of air based on the inlet temperature, the outlet temperature, and the ambient temperature includes: A first difference between the inlet temperature and the ambient temperature is determined, and the product of the first difference, the preset heat transfer coefficient, and the heat dissipation area is used as the heat loss of the system. A second difference between the inlet temperature and the outlet temperature is determined, and the product of the second difference, air density, air specific heat capacity, and a preset air flow rate is used as the sensible heat of the air.

5. The method for adjusting equipment control parameters according to claim 1, characterized in that, The determination of the heat consumption for water evaporation based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature includes: Determine the pressure difference between the first saturated water vapor pressure and the second saturated water vapor pressure; The product of the pressure difference, the mass transfer coefficient of the corresponding sludge, the preset evaporation area, and the preset latent heat of water vaporization is used as the heat consumption for water evaporation.

6. The method for adjusting equipment control parameters according to any one of claims 1-5, characterized in that, The heat ranges, from low to high, are designated as the first range, the second range, the third range, and the fourth range. The operation control strategy, which determines the corresponding compressor operating mode and electric heating power based on the heat range in which the total heat falls, includes: When the total heat is within the first range, determine that any one compressor will operate at a variable frequency within the first frequency range and turn off the electric heating. When the total heat is within the second range, the compressor is determined to operate at a fixed frequency, and the electric heating power is determined based on the difference between the predicted temperature and the target temperature, wherein the fixed frequency is greater than any frequency within the first frequency range. When the total heat is in the third range, it is determined that the currently running compressor is running at a fixed frequency and another compressor is started to run at a variable frequency in the second frequency range. Based on the difference between the predicted temperature and the target temperature, the electric heating power is determined. The starting frequency of the second frequency range is the same as the starting frequency of the first frequency range and the ending frequency of the second frequency range is the fixed frequency. When the total heat is in the fourth range, it is determined that the two compressors operate at the highest frequency and the electric heating is started at maximum power.

7. The method for adjusting equipment control parameters according to claim 6, characterized in that, Determining the electric heating operating power based on the difference between the predicted temperature and the target temperature includes: If the difference between the predicted temperature and the target temperature is less than or equal to a first preset threshold, the sum of the product of the preset proportional coefficient and the difference and the preset reference power is determined as the electric heating working power. If the difference between the predicted temperature and the target temperature is greater than the first preset threshold and less than or equal to the second preset threshold, a preset proportional coefficient that decreases over time is determined, and the electric heating power is updated according to the latest preset proportional coefficient. If the difference between the predicted temperature and the target temperature is greater than the second preset threshold, a preset proportion of the rated power is determined as the electric heating working power.

8. A device for adjusting equipment control parameters, characterized in that, An apparatus for use in sludge drying equipment, wherein the sludge drying equipment is equipped with multiple sensors to acquire sensor data, the apparatus comprising: The data acquisition module is configured to determine the initial core temperature, surface temperature, and sludge density of the current batch of sludge based on the acquired sensor data, and to determine the inlet temperature, outlet temperature, ambient temperature, and moisture evaporation rate of the sludge drying equipment corresponding to the current batch of sludge. The temperature prediction module is configured to, in response to the water evaporation rate, sludge density, surface temperature and ambient temperature determined by current sensor data, determine the corresponding predicted temperature value of the sludge core temperature through a preset heat conduction physical model, wherein the heat conduction physical model is used to predict the sludge core temperature after a preset drying treatment time. The first heat determination module is configured to determine the product of sludge mass, temperature change rate, and preset sludge specific heat capacity as the sensible heat demand of sludge. The temperature change rate is determined based on the initial core temperature, the predicted temperature value, and the drying treatment time. The second heat determination module is configured to determine the system heat loss and sensible heat of air in response to the inlet temperature, the outlet temperature and the ambient temperature determined by current sensor data, wherein the system heat loss is the heat loss determined based on the inlet temperature and the ambient temperature, and the sensible heat of air is the heat loss determined based on the inlet temperature and the outlet temperature. The third heat determination module is configured to determine the heat consumption for water evaporation based on the first saturated water vapor pressure corresponding to the surface temperature and the second saturated water vapor pressure corresponding to the inlet temperature. The total heat determination module is configured to determine the total heat as the sum of the sensible heat demand of the sludge, the heat loss of the system, the sensible heat of the air, and the heat loss due to water evaporation. The control optimization module is configured to determine the corresponding compressor operating mode and electric heating power operating strategy based on the heat range in which the total heat is located, with different heat ranges associated with different operating control strategies.

9. A sludge drying device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the device control parameter adjustment method as described in any one of claims 1-7.

10. A storage medium for storing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a processor, are used to perform the device control parameter adjustment method as described in any one of claims 1-7.

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