Sludge drying energy consumption optimization regulation method and system

Abstract

The invention discloses a sludge drying energy consumption optimization regulation method and system, and the method comprises the steps: obtaining and analyzing the moisture content data of sludge, and determining the moisture content change characteristics; determining a moisture content change coefficient in the sludge drying process based on the moisture content change characteristics, and setting initial working conditions of drying equipment based on the moisture content change coefficient; acquiring energy consumption data of the drying equipment, analyzing the water content data and the energy consumption data, and determining the influence degree of the water content on the sludge drying energy consumption; and determining an optimization coefficient based on the influence degree, and performing optimization adjustment on the initial working condition of the drying equipment according to the optimization coefficient so as to optimize the sludge drying energy consumption. According to the method, the relationship between the water content and the energy consumption in the sludge drying process is deeply analyzed, so that targeted measures are taken to optimize the energy consumption, the efficiency is improved, effective utilization of resources and environmental protection are realized, and the sustainability and the economical efficiency of a sludge treatment process are favorably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sludge drying, and in particular to a sludge drying energy consumption optimization and regulation method and system. Background Art

[0002] Sludge drying, as one of the most important methods for sludge treatment, is of great significance for reducing sludge volume and reusing it as a resource. During the sludge drying process, high-water content sludge is dehydrated and dried to evaporate the water, thereby reducing its volume and weight and improving its stability.

[0003] However, the high energy consumption in the sludge drying process has always been a matter of great concern. The sludge drying process requires a large amount of energy, including electricity, fuel, etc., which directly affects the operating costs. Moreover, high energy consumption not only increases the processing costs, but also leads to increased carbon dioxide emissions, which has a negative impact on the environment and runs counter to environmental protection policies. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for optimizing and regulating sludge drying energy consumption, comprising: Obtain the moisture content data of sludge during the sludge drying process, analyze the moisture content data, and determine the moisture content change characteristics; Determine the moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics, and set the initial working conditions of the drying equipment based on the moisture content variation coefficient; Obtain energy consumption data of drying equipment during sludge drying process, and analyze moisture content data and energy consumption data to determine the impact of moisture content on sludge drying energy consumption; The optimization coefficient is determined based on the degree of influence, and the initial working conditions of the drying equipment are optimized and adjusted according to the optimization coefficient to optimize the energy consumption of sludge drying.

[0005] Furthermore, the acquisition of sludge moisture content data during the sludge drying process and analysis of the moisture content data to determine moisture content variation characteristics include: Obtain the moisture content data of the sludge during the sludge drying process, and construct a moisture content change curve over time based on the moisture content data; Determine the slope value of each discount in the moisture content change broken line, and divide the moisture content change broken line into multiple broken line segments according to the slope value; The moisture content change in each broken line segment is calculated, and the moisture content change and the slope value in each broken line segment are determined as moisture content change characteristics.

[0006] Furthermore, the determination of the moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics includes: Determining the moisture content change and slope value of each broken line segment, and determining a preset moisture content change and preset slope value; Calculating the difference between the moisture content change of each broken line segment and the preset moisture content change to obtain a first difference, and calculating the difference between the slope value of each broken line segment and the preset slope value to obtain a second difference; Evaluate the first difference and the second difference respectively to obtain a first evaluation value and a second evaluation value, and add the first evaluation value and the second evaluation value to obtain a comprehensive evaluation value of each broken line segment; Determine the time length of each broken line segment, and normalize the time lengths of all broken line segments to obtain the weight of each broken line segment; The moisture content variation coefficient of the sludge drying process is calculated based on the comprehensive evaluation value and weight of each broken line segment.

[0007] Furthermore, the calculation formula for the coefficient of variation of moisture content in the sludge drying process is: , Among them, L is the influence value, αi is the weight of the i-th broken line segment, Ji is the comprehensive evaluation value of the i-th broken line segment, and n is the number of broken line segments.

[0008] Furthermore, the initial working conditions of the drying equipment are set based on the moisture content variation coefficient, including: Obtaining a moisture content variation coefficient ΔH and a preset standard moisture content variation coefficient H0 during the sludge drying process, and determining a first preset difference H1, a second preset difference H2, a third preset difference H3, and a fourth preset difference H4, wherein H1<H2<H3<H4; presetting a first preset working condition S1 (a1, b1), a second preset working condition S2 (a2, b2), a third preset working condition S3 (a3, b3), and a fourth preset working condition S4 (a4, b4) of the drying equipment, wherein a1-a4 are first to fourth preset drying temperatures, a1<a2<a3<a4, b1-b4 are first to fourth preset feed rates, and b1<b2<b3<b4; According to the difference between the moisture content variation coefficient △H and the preset standard moisture content variation coefficient H0, the preset working condition Si is selected as the initial working condition of the drying equipment; When △H-H0≤H1, the first preset working condition S1 is selected as the initial working condition of the drying equipment; When H1<△H-H0≤H2, the second preset working condition S2 is selected as the initial working condition of the drying equipment; When H2<△H-H0≤H3, the third preset working condition S3 is selected as the initial working condition of the drying equipment; When H3<△H-H0≤H4, the fourth preset working condition S4 is selected as the initial working condition of the drying equipment; The operation of the drying equipment is controlled according to the selected preset initial working condition Si (ai, bi) as the initial working condition of the drying equipment.

[0009] Furthermore, the energy consumption data of the drying equipment during the sludge drying process is obtained, and the moisture content data and the energy consumption data are analyzed to determine the influence of the moisture content on the energy consumption of the sludge drying, including: Obtain energy consumption data of drying equipment during sludge drying process and determine moisture content data during sludge drying process; Construct an energy consumption-moisture content change curve based on energy consumption data and moisture content data, and determine the inflection point in the energy consumption-moisture content change curve; The energy consumption-water content change curve is divided into multiple curve segments according to the inflection point, and the energy consumption value and water content value of each point in each curve segment as well as the average energy consumption value and water content value of each curve segment are calculated; The sub-influence degree of each curve segment is calculated based on the energy consumption value and moisture content value of each point in each curve segment and the average energy consumption and moisture content of each curve segment. The sub-influence degree of each curve segment is added together to obtain the influence degree of moisture content on sludge drying energy consumption.

[0010] Furthermore, the calculation formula for the sub-influence degree of the curve segment is: t= , Among them, t is the sub-influence degree of the curve segment, xi is the energy consumption value of the i-th point in the curve segment, x is the average energy consumption of the curve segment, yi is the moisture content value of the i-th point in the curve segment, and y is the average moisture content of the curve segment.

[0011] Furthermore, determining the optimization coefficient based on the degree of influence includes: A correspondence between the optimization coefficient and the impact degree interval is preset, and the correspondence between the optimization coefficient and the impact degree interval is associated with a corresponding optimization coefficient for each impact degree interval; The influence degree of moisture content on sludge drying energy consumption is obtained, and based on the mapping relationship between the influence degree interval to which the influence degree belongs and the optimization coefficient corresponding to the influence degree interval is selected and determined as the corresponding optimization coefficient.

[0012] Furthermore, the initial working conditions of the drying equipment are optimized and adjusted according to the optimization coefficient to optimize the sludge drying energy consumption, including: The optimization coefficient ki is obtained, and the initial working conditions Si (ai, bi) of the drying equipment are adjusted according to the optimization coefficient ki to obtain Si (ai*ki, bi*ki), and the drying equipment is controlled according to the adjusted working conditions Si (ai*ki, bi*ki) to optimize the energy consumption of the sludge drying process.

[0013] The present invention also provides a sludge drying energy consumption optimization and regulation system, comprising: The acquisition module is used to obtain the moisture content data of the sludge during the sludge drying process, analyze the moisture content data, and determine the moisture content change characteristics; A setting module, for determining a moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics, and setting initial working conditions of the drying equipment based on the moisture content variation coefficient; The analysis module is used to obtain the energy consumption data of the drying equipment during the sludge drying process, and analyze the moisture content data and energy consumption data to determine the impact of moisture content on sludge drying energy consumption; The optimization module is used to determine the optimization coefficient based on the degree of influence, and optimize the initial working conditions of the drying equipment according to the optimization coefficient to optimize the energy consumption of sludge drying.

[0014] Compared with the prior art, the sludge drying energy consumption optimization and regulation method and system according to the embodiment of the present invention have the following beneficial effects: By acquiring and analyzing sludge moisture content data, the present invention can deeply understand the changing characteristics of the sludge moisture content during the drying process and determine the changing law of the moisture content, so as to understand the changing speed of the sludge moisture content during the drying process and provide a basis for setting the initial working conditions of the drying equipment; The present invention obtains the energy consumption data of the drying equipment and analyzes it with the moisture content data to determine the degree of influence of the moisture content on the energy consumption of sludge drying, so as to set the initial working conditions of the drying equipment to reduce energy consumption and improve drying efficiency; Through the above analysis and adjustment, the present invention can optimize the energy consumption in the sludge drying process, improve energy utilization efficiency, and reduce operating costs. The optimized working conditions help to improve the performance of the drying equipment, improve the processing efficiency, and reduce energy consumption and resource waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Schematic diagram of the process structure of the sludge drying energy consumption optimization and regulation method according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the composition of the sludge drying energy consumption optimization and regulation system in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0017] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on this application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Persons of ordinary skill in the art will understand the specific meanings of the above terms in this application based on specific circumstances.

[0020] like Figure 1 As shown, in an embodiment of the present application, a method for optimizing and adjusting sludge drying energy consumption is provided, including: S100: obtaining moisture content data of sludge during the sludge drying process, and analyzing the moisture content data to determine moisture content change characteristics; S200: determining the moisture content change coefficient of the sludge drying process based on the moisture content change characteristics, and setting the initial working conditions of the drying equipment based on the moisture content change coefficient; S300: obtaining energy consumption data of the drying equipment during the sludge drying process, and analyzing the moisture content data and energy consumption data to determine the degree of influence of the moisture content on the sludge drying energy consumption; S400: determining the optimization coefficient based on the degree of influence, and optimizing and adjusting the initial working conditions of the drying equipment according to the optimization coefficient to optimize the sludge drying energy consumption.

[0021] Furthermore, the present invention can obtain and analyze sludge moisture content data to gain an in-depth understanding of the changing characteristics of the moisture content of the sludge during the drying process, and determine the changing law of the moisture content, so as to understand the changing rate of the moisture content of the sludge during the drying process, and provide a basis for setting the initial working conditions of the drying equipment; the present invention obtains the energy consumption data of the drying equipment and analyzes it with the moisture content data to determine the degree of influence of the moisture content on the sludge drying energy consumption, so as to set the initial working conditions of the drying equipment, thereby reducing energy consumption and improving drying efficiency; through the above analysis and adjustment, the present invention can optimize the energy consumption in the sludge drying process, improve energy utilization efficiency, and reduce operating costs. The optimized working conditions help to improve the performance of the drying equipment, improve processing efficiency, and reduce energy consumption and resource waste.

[0022] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, wherein the moisture content data of the sludge during the sludge drying process is obtained, and the moisture content data is analyzed to determine the moisture content change characteristics, including: obtaining the moisture content data of the sludge during the sludge drying process, and constructing a moisture content change broken line of time progress based on the moisture content data; determining the slope value of each discount in the moisture content change broken line, and dividing the moisture content change broken line into multiple broken line segments according to the slope value; calculating the moisture content change in each broken line segment, and determining the moisture content change and the slope value in each broken line segment as the moisture content change characteristics.

[0023] Specifically, sensors or monitoring equipment are used to obtain moisture content data during the sludge drying process. This data is arranged in chronological order, and a line graph showing the moisture content changing over time is constructed to visually demonstrate the changing trend of the sludge moisture content. A mathematical method is used to calculate the slope value corresponding to each data point, i.e., the rate of change of the moisture content over time. Based on the change in the slope value, the moisture content change line is divided into multiple segments to identify the moisture content change trend at different stages. The change in moisture content is calculated within each segment, i.e., the difference in moisture content at both ends of the segment. The slope value and moisture content change of each segment are determined as moisture content change characteristics, reflecting the rate and magnitude of moisture content change during the different stages of the sludge drying process. By analyzing the moisture content data and constructing the change line, this step can provide a deep understanding of the changing patterns of moisture content during the sludge drying process and help optimize the drying process. Based on the characteristics of the slope value and moisture content change, a monitoring system can be established to monitor the sludge drying process in real time and adjust operations in a timely manner to ensure drying effectiveness and energy conservation and emission reduction.

[0024] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, which determines the moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics, including: determining the moisture content variation and slope value of each broken line segment, and determining a preset preset moisture content variation and preset slope value; calculating the difference between the moisture content variation of each broken line segment and the preset moisture content variation to obtain a first difference, and calculating the difference between the slope value of each broken line segment and the preset slope value to obtain a second difference; evaluating the first difference and the second difference respectively to obtain a first evaluation value and a second evaluation value, and adding the first evaluation value and the second evaluation value to obtain a comprehensive evaluation value of each broken line segment; determining the time length of each broken line segment, and normalizing the time lengths of all broken line segments to obtain the weight of each broken line segment; and calculating the moisture content variation coefficient of the sludge drying process based on the comprehensive evaluation value and weight of each broken line segment.

[0025] Specifically, the difference between the moisture content change of each broken line segment and the preset moisture content change is calculated to obtain a first difference, and the difference between the slope value of each broken line segment and the preset slope value is calculated to obtain a second difference; the first difference and the second difference are evaluated to obtain a first evaluation value and a second evaluation value, which reflect the degree of deviation between the moisture content change and the slope value of each broken line segment and the preset value; the first evaluation value and the second evaluation value are added together to obtain a comprehensive evaluation value of each broken line segment, which comprehensively considers the deviation of the moisture content change and the slope value; the time length of each broken line segment is determined, and different weights can be given according to the length of the time period. The time lengths of all broken line segments are normalized to obtain the weight of each broken line segment; based on the comprehensive evaluation value and weight of each broken line segment, the moisture content change coefficient of the sludge drying process is calculated, and this coefficient comprehensively considers the moisture content change and duration of each stage. This step evaluates the moisture content change and slope value of each broken line segment, which can provide a more detailed understanding of the moisture content change in each stage and optimize the drying process in a targeted manner; by calculating the comprehensive evaluation value and moisture content change coefficient, the effect of each stage in the sludge drying process can be quantitatively evaluated, providing a basis for further optimization; considering the weight factor of time length can better balance the importance of different stages and make the evaluation results more practical.

[0026] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, wherein the calculation formula for the coefficient of variation of moisture content in the sludge drying process is: , Among them, L is the influence value, αi is the weight of the i-th broken line segment, Ji is the comprehensive evaluation value of the i-th broken line segment, and n is the number of broken line segments.

[0027] In an embodiment of the present application, a method for optimizing and regulating energy consumption of sludge drying is provided, wherein the initial working conditions of the drying equipment are set based on the moisture content variation coefficient, including: obtaining the moisture content variation coefficient △H of the sludge drying process and a preset standard moisture content variation coefficient H0, and determining a preset first preset difference H1, a second preset difference H2, a third preset difference H3 and a fourth preset difference H4, and H1<H2<H3<H4; presetting a first preset working condition S1 (a1, b1), a second preset working condition S2 (a2, b2), a third preset working condition S3 (a3, b3) and a fourth preset working condition S4 (a4, b4) of the drying equipment, wherein a1-a4 are the first to fourth preset drying temperatures, and a1<a2<a3<a4, b1-b4 are the first to fourth preset drying temperatures, respectively. The feed rate is preset, b1<b2<b3<b4; the preset working condition Si is selected as the initial working condition of the drying equipment according to the difference between the moisture content variation coefficient △H and the preset standard moisture content variation coefficient H0; when △H-H0≤H1, the first preset working condition S1 is selected as the initial working condition of the drying equipment; when H1<△H-H0≤H2, the second preset working condition S2 is selected as the initial working condition of the drying equipment; when H2<△H-H0≤H3, the third preset working condition S3 is selected as the initial working condition of the drying equipment; when H3<△H-H0≤H4, the fourth preset working condition S4 is selected as the initial working condition of the drying equipment; the operation of the drying equipment is controlled according to which preset initial working condition Si(ai,bi) is selected as the initial working condition of the drying equipment.

[0028] Specifically, the moisture content variation coefficient △H of the sludge drying process and the preset standard moisture content variation coefficient H0 are determined; the first to fourth preset difference values ​​H1, H2, H3, H4, and the first to fourth preset working conditions S1 (a1, b1), S2 (a2, b2), S3 (a3, b3), S4 (a4, b4) of the drying equipment are set; according to the difference value △H-H0, the most suitable preset working condition is selected as the drying equipment according to the set range of H1, H2, H3, H4. The initial operating conditions of the drying equipment are selected; when △H-H0≤H1, S1 is selected as the initial operating condition; when H1<△H-H0≤H2, S2 is selected; when H2<△H-H0≤H3, S3 is selected; and when H3<△H-H0≤H4, S4 is selected. Based on the selected preset initial operating conditions Si(ai,bi), parameters such as the temperature and feed rate of the drying equipment are controlled to meet the optimal operating conditions. The drying equipment begins operating based on the selected initial operating conditions to achieve the expected moisture content change effect. This step automatically selects the most suitable preset operating conditions based on the real-time monitored moisture content change coefficient and the preset standard value to control the operation of the drying equipment, achieving automated control. By selecting the optimal operating conditions based on the difference in the moisture content change coefficient, the drying equipment can operate in the most suitable operating state, improve drying efficiency, and reduce energy consumption. Selecting different operating conditions based on different moisture content changes can better control the drying process, improve the drying effect, and achieve better sludge treatment results.

[0029] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, which obtains energy consumption data of a drying device during a sludge drying process, analyzes moisture content data and energy consumption data, and determines the degree of influence of moisture content on sludge drying energy consumption, including: obtaining energy consumption data of a drying device during a sludge drying process, and determining moisture content data during the sludge drying process; constructing an energy consumption-moisture content change curve based on the energy consumption data and moisture content data, and determining an inflection point in the energy consumption-moisture content change curve; dividing the energy consumption-moisture content change curve into a plurality of curve segments according to the inflection point, and calculating the energy consumption value and moisture content value of each point in each curve segment, as well as the average energy consumption and moisture content of each curve segment; calculating the sub-influence degree of each curve segment based on the energy consumption value and moisture content value of each point in each curve segment, as well as the average energy consumption and moisture content of each curve segment, and adding up the sub-influence degrees of each curve segment to obtain the degree of influence of moisture content on sludge drying energy consumption.

[0030] Specifically, the energy consumption data and corresponding moisture content data of the drying equipment during the sludge drying process are collected; the energy consumption data and moisture content data are paired to draw an energy consumption-moisture content change curve to reflect the trend of energy consumption changing with moisture content; inflection points are determined in the energy consumption-moisture content change curve, that is, points where the direction of the curve change suddenly changes. These points represent the key turning points where energy consumption is affected by moisture content; the energy consumption-moisture content change curve is divided into multiple curve segments according to the inflection points, and each curve segment contains multiple data points; each point in each curve segment is analyzed. The energy consumption and moisture content values ​​are calculated for each data point, and the average energy consumption and moisture content values ​​for each curve segment are calculated at the same time. Based on the energy consumption and moisture content values ​​of each point in each curve segment and the average energy consumption and moisture content values ​​of each curve segment, the sub-influence degree of each curve segment is calculated. The sub-influence degree reflects the influence of different moisture content ranges on energy consumption, helping to identify which moisture content ranges have a greater impact on energy consumption. The sub-influence degrees of each curve segment are added together to obtain the overall influence of moisture content on sludge drying energy consumption. By analyzing the relationship between energy consumption and moisture content, this step can identify the key points and influencing factors of energy consumption fluctuations and optimize the energy consumption control strategy of the drying equipment in a targeted manner. A deep understanding of the influence of moisture content on energy consumption can help optimize process parameters and operating strategies, improve energy efficiency, and reduce costs. By analyzing the energy consumption-moisture content change curve, it is possible to achieve refined management of the sludge drying process, improve production efficiency and resource utilization.

[0031] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, and the calculation formula for the sub-influence degree of the curve segment is: t= , Among them, t is the sub-influence degree of the curve segment, xi is the energy consumption value of the i-th point in the curve segment, x is the average energy consumption of the curve segment, yi is the moisture content value of the i-th point in the curve segment, and y is the average moisture content of the curve segment.

[0032] In an embodiment of the present application, a method for optimizing and regulating sludge drying energy consumption is provided, wherein the optimization coefficient is determined based on the degree of influence, including: presetting an optimization coefficient-degree of influence interval correspondence, and the optimization coefficient-degree of influence interval correspondence is associated with a corresponding optimization coefficient for each degree of influence interval; obtaining the degree of influence of moisture content on sludge drying energy consumption, and based on the mapping relationship between the degree of influence interval to which the degree of influence belongs within the optimization coefficient-degree of influence interval correspondence, selecting the optimization coefficient corresponding to the degree of influence interval as the corresponding optimization coefficient.

[0033] Specifically, a set of optimization coefficient-influence interval correspondences are pre-set, and corresponding optimization coefficients are determined in advance for different influence intervals; based on the influence interval to which the moisture content affects the sludge drying energy consumption, the corresponding optimization coefficient is found within the pre-set optimization coefficient-influence interval correspondence; through the mapping relationship, the influence interval is associated with the corresponding optimization coefficient to determine the optimization measures or parameter adjustments that should be taken within the influence interval; the optimization coefficient corresponding to the influence interval is selected and determined as the corresponding optimization coefficient, providing specific guidance for subsequent optimization control, helping to adjust equipment operating parameters or improve process flow. This step maps the influence of moisture content on sludge drying energy consumption to the pre-set optimization coefficient-influence interval correspondence, so that the corresponding optimization measures can be determined according to the actual influence degree, thereby more accurately adjusting the operation of the drying equipment, improving energy efficiency and reducing energy consumption, and also improving the efficiency and sustainability of the sludge drying process.

[0034] In an embodiment of the present application, a method for optimizing and adjusting sludge drying energy consumption is provided, wherein the initial working conditions of the drying equipment are optimized and adjusted according to the optimization coefficient to optimize the sludge drying energy consumption, including: obtaining the optimization coefficient ki, and adjusting the initial working conditions Si (ai, bi) of the drying equipment according to the optimization coefficient ki to obtain Si (ai*ki, bi*ki), and controlling the drying equipment according to the adjusted working conditions Si (ai*ki, bi*ki) to optimize the energy consumption of the sludge drying process.

[0035] Specifically, an optimization coefficient ki is obtained, and based on this optimization coefficient ki, the initial operating conditions Si (ai, bi) of the drying equipment are adjusted. Specifically, the parameters ai and bi in the initial operating conditions are multiplied by the optimization coefficient ki to obtain the adjusted operating conditions Si (ai*ki, bi*ki). Using these adjusted operating conditions Si (ai*ki, bi*ki), the drying equipment is controlled to optimize energy consumption during the sludge drying process. This step, by obtaining the optimization coefficient ki and adjusting the operating conditions accordingly, allows for refined adjustment of the drying equipment's operating parameters, facilitating personalized optimization of the equipment based on its actual impact, improving energy efficiency and reducing energy consumption. Adjusting the operating conditions based on the real-time impact of moisture content enables real-time optimization control, better adapting to energy consumption requirements under different operating conditions and improving production efficiency. By optimizing the drying equipment's operating conditions, energy consumption can be effectively reduced, resource waste can be minimized, and the goal of energy conservation and emission reduction can be achieved, meeting the requirements of sustainable development.

[0036] like Figure 2As shown, in an embodiment of the present application, a sludge drying energy consumption optimization and regulation system is provided, including: an acquisition module for acquiring moisture content data of sludge during the sludge drying process, and analyzing the moisture content data to determine the moisture content change characteristics; a setting module for determining the moisture content change coefficient of the sludge drying process based on the moisture content change characteristics, and setting the initial working conditions of the drying equipment based on the moisture content change coefficient; an analysis module for acquiring energy consumption data of the drying equipment during the sludge drying process, and analyzing the moisture content data and energy consumption data to determine the degree of influence of the moisture content on the sludge drying energy consumption; an optimization module for determining the optimization coefficient based on the degree of influence, and optimizing and adjusting the initial working conditions of the drying equipment according to the optimization coefficient to optimize the sludge drying energy consumption.

[0037] In summary, an embodiment of the present invention provides a method and system for optimizing and regulating sludge drying energy consumption, which includes: obtaining and analyzing the moisture content data of the sludge to determine the moisture content change characteristics; determining the moisture content change coefficient of the sludge drying process based on the moisture content change characteristics, and setting the initial working conditions of the drying equipment based on the moisture content change coefficient; obtaining the energy consumption data of the drying equipment, and analyzing the moisture content data and energy consumption data to determine the degree of influence of the moisture content on the sludge drying energy consumption; determining the optimization coefficient based on the degree of influence, and optimizing and adjusting the initial working conditions of the drying equipment according to the optimization coefficient to optimize the sludge drying energy consumption. The present invention deeply analyzes the relationship between moisture content and energy consumption in the sludge drying process, thereby taking targeted measures to optimize energy consumption, improve efficiency, achieve effective resource utilization and environmental protection, and help improve the sustainability and economy of the sludge treatment process.

[0038] Finally, it should be noted that it is apparent that various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such modifications and variations as long as they fall within the scope of the present invention and its equivalents.

[0039] The above description is only an example of an embodiment of the present invention, but it does not limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be considered to fall within the scope of protection of the present invention and be subject to restrictions. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0040] The term "comprise," "comprising," or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0041] Thus far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to closely related technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0042] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A method for optimizing and regulating sludge drying energy consumption, characterized in that: include: Obtain the moisture content data of sludge during the sludge drying process, analyze the moisture content data, and determine the moisture content change characteristics; Determine the moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics, and set the initial working conditions of the drying equipment based on the moisture content variation coefficient; Obtain energy consumption data of drying equipment during sludge drying process, and analyze moisture content data and energy consumption data to determine the impact of moisture content on sludge drying energy consumption; The optimization coefficient is determined based on the degree of influence, and the initial working conditions of the drying equipment are optimized and adjusted according to the optimization coefficient to optimize the energy consumption of sludge drying.

2. A method for optimizing energy consumption of sludge drying according to claim 1, characterized in that: The obtaining of the sludge moisture content data during the sludge drying process and analyzing the moisture content data to determine the moisture content change characteristics include: Obtain the moisture content data of the sludge during the sludge drying process, and construct a moisture content change curve over time based on the moisture content data; Determine the slope value of each discount in the moisture content change broken line, and divide the moisture content change broken line into multiple broken line segments according to the slope value; The moisture content change in each broken line segment is calculated, and the moisture content change and the slope value in each broken line segment are determined as moisture content change characteristics.

3. A method for optimizing energy consumption of sludge drying according to claim 2, characterized in that: The determination of the moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics includes: Determining the moisture content change and slope value of each broken line segment, and determining a preset moisture content change and preset slope value; Calculating the difference between the moisture content change of each broken line segment and the preset moisture content change to obtain a first difference, and calculating the difference between the slope value of each broken line segment and the preset slope value to obtain a second difference; Evaluate the first difference and the second difference respectively to obtain a first evaluation value and a second evaluation value, and add the first evaluation value and the second evaluation value to obtain a comprehensive evaluation value of each broken line segment; Determine the time length of each broken line segment, and normalize the time lengths of all broken line segments to obtain the weight of each broken line segment; The moisture content variation coefficient of the sludge drying process is calculated based on the comprehensive evaluation value and weight of each broken line segment.

4. A method for optimizing energy consumption of sludge drying according to claim 3, characterized in that: The calculation formula of the moisture content variation coefficient of the sludge drying process is: ， Among them, L is the influence value, αi is the weight of the i-th broken line segment, Ji is the comprehensive evaluation value of the i-th broken line segment, and n is the number of broken line segments.

5. A method for optimizing energy consumption of sludge drying according to claim 3, characterized in that: The initial working conditions of the drying equipment are set based on the moisture content variation coefficient, including: Obtaining a moisture content variation coefficient ΔH and a preset standard moisture content variation coefficient H0 during the sludge drying process, and determining a first preset difference H1, a second preset difference H2, a third preset difference H3, and a fourth preset difference H4, wherein H1<H2<H3<H4; presetting a first preset working condition S1 (a1, b1), a second preset working condition S2 (a2, b2), a third preset working condition S3 (a3, b3), and a fourth preset working condition S4 (a4, b4) of the drying equipment, wherein a1-a4 are first to fourth preset drying temperatures, a1<a2<a3<a4, b1-b4 are first to fourth preset feed rates, and b1<b2<b3<b4; According to the difference between the moisture content variation coefficient △H and the preset standard moisture content variation coefficient H0, the preset working condition Si is selected as the initial working condition of the drying equipment; When △H-H0≤H1, the first preset working condition S1 is selected as the initial working condition of the drying equipment; When H1<△H-H0≤H2, the second preset working condition S2 is selected as the initial working condition of the drying equipment; When H2<△H-H0≤H3, the third preset working condition S3 is selected as the initial working condition of the drying equipment; When H3<△H-H0≤H4, the fourth preset working condition S4 is selected as the initial working condition of the drying equipment; The operation of the drying equipment is controlled according to the selected preset initial working condition Si (ai, bi) as the initial working condition of the drying equipment.

6. A method for optimizing energy consumption of sludge drying according to claim 5, characterized in that: The energy consumption data of the drying equipment during the sludge drying process is obtained, and the moisture content data and the energy consumption data are analyzed to determine the influence of the moisture content on the energy consumption of the sludge drying process, including: Obtain energy consumption data of drying equipment during sludge drying process and determine moisture content data during sludge drying process; Construct an energy consumption-moisture content change curve based on energy consumption data and moisture content data, and determine the inflection point in the energy consumption-moisture content change curve; The energy consumption-water content change curve is divided into multiple curve segments according to the inflection point, and the energy consumption value and water content value of each point in each curve segment as well as the average energy consumption value and water content value of each curve segment are calculated; The sub-influence degree of each curve segment is calculated based on the energy consumption value and moisture content value of each point in each curve segment and the average energy consumption and moisture content of each curve segment. The sub-influence degree of each curve segment is added together to obtain the influence degree of moisture content on sludge drying energy consumption.

7. A method for optimizing energy consumption of sludge drying according to claim 6, characterized in that: The calculation formula of the sub-influence degree of the curve segment is: t= ， Among them, t is the sub-influence degree of the curve segment, xi is the energy consumption value of the i-th point in the curve segment, x is the average energy consumption of the curve segment, yi is the moisture content value of the i-th point in the curve segment, and y is the average moisture content of the curve segment.

8. A method for optimizing energy consumption of sludge drying according to claim 5, characterized in that: Determining the optimization coefficient based on the degree of influence includes: A correspondence between the optimization coefficient and the impact degree interval is preset, and the correspondence between the optimization coefficient and the impact degree interval is associated with a corresponding optimization coefficient for each impact degree interval; The influence degree of moisture content on sludge drying energy consumption is obtained, and based on the mapping relationship between the influence degree interval to which the influence degree belongs and the optimization coefficient corresponding to the influence degree interval is selected and determined as the corresponding optimization coefficient.

9. A method for optimizing energy consumption of sludge drying according to claim 8, characterized in that: The optimization adjustment of the initial working conditions of the drying equipment according to the optimization coefficient to optimize the sludge drying energy consumption includes: The optimization coefficient ki is obtained, and the initial working conditions Si (ai, bi) of the drying equipment are adjusted according to the optimization coefficient ki to obtain Si (ai*ki, bi*ki), and the drying equipment is controlled according to the adjusted working conditions Si (ai*ki, bi*ki) to optimize the energy consumption of the sludge drying process.

10. A sludge drying energy consumption optimization and regulation system, characterized in that: include: The acquisition module is used to obtain the moisture content data of the sludge during the sludge drying process, analyze the moisture content data, and determine the moisture content change characteristics; A setting module, for determining a moisture content variation coefficient of the sludge drying process based on the moisture content variation characteristics, and setting initial working conditions of the drying equipment based on the moisture content variation coefficient; The analysis module is used to obtain the energy consumption data of the drying equipment during the sludge drying process, and analyze the moisture content data and energy consumption data to determine the impact of moisture content on sludge drying energy consumption; The optimization module is used to determine the optimization coefficient based on the degree of influence, and optimize the initial working conditions of the drying equipment according to the optimization coefficient to optimize the energy consumption of sludge drying.

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