Lime coagulation clarification treatment operation end point dynamic sensing and decision-making system and method

Abstract

The invention discloses a lime coagulation clarification treatment operation end point dynamic sensing and decision making system and method.The lime coagulation clarification treatment operation end point dynamic sensing and decision making system comprises a sensing layer and an edge layer, and the sensing layer comprises an ultrasonic density sensor, a multispectral imaging unit, an impedance spectrum analyzer and a composite water quality sensor which are installed on a clarification tank; and the output ends of the ultrasonic density sensor, the multispectral imaging unit, the impedance spectrum analyzer and the composite water quality sensor are connected with the input end of the edge layer. The system and the method can accurately and efficiently improve the end point judgment precision under the complicated operation condition of lime coagulation clarification treatment of the thermal power plant.

Description

Technical Field

[0001] This invention belongs to the field of water treatment technology for thermal power plants, and relates to a dynamic sensing and decision-making system and method for the end point of lime coagulation and clarification treatment. Background Technology

[0002] Thermal power plant circulating water and desulfurization wastewater have high suspended solids (SS) and high hardness (Ca). 2+ / Mg 2+ Due to its characteristics of large temperature fluctuations (20–60℃), lime coagulation and clarification are the core pretreatment steps. Traditional methods have the following problems:

[0003] 1) Delay in endpoint determination: Reliance on manual operation experience or a single online turbidity detection method leads to over- or under-dosing, with dosage errors reaching ±30%;

[0004] 2) Poor dynamic response: Changes in water quality (such as changes in pH and suspended solids concentration), pH sensor drift at high temperatures (>40℃), and competition for adsorption between CaCO3 precipitation and colloidal particles affecting the accuracy of turbidity measurement can lead to misjudgment of the endpoint.

[0005] 3) The process is not visible: the floc formation process lacks multidimensional monitoring, making it impossible to capture the three-dimensional structural evolution pattern;

[0006] 4) Sludge deposition: Improper timing of sludge discharge can easily lead to siltation or sludge runoff at the bottom of the clarifier.

[0007] Existing technologies have failed to effectively solve the problem of multi-parameter coupling under high-temperature water conditions. Summary of the Invention

[0008] The purpose of this invention is to overcome the shortcomings of the prior art and provide a dynamic perception and decision-making system and method for the endpoint of lime coagulation and clarification treatment. This system and method can accurately and efficiently improve the endpoint judgment accuracy under complex operating conditions of lime coagulation and clarification treatment in thermal power plants.

[0009] To achieve the above objectives, the present invention discloses a dynamic sensing and decision-making system for the endpoint of lime coagulation and clarification treatment, comprising a sensing layer and an edge layer. The sensing layer includes an ultrasonic density sensor, a multispectral imaging unit, an impedance spectrum analyzer, and a composite water quality sensor installed on the clarification tank. The output terminals of the ultrasonic density sensor, the multispectral imaging unit, the impedance spectrum analyzer, and the composite water quality sensor are connected to the input terminals of the edge layer.

[0010] The further improvement of the dynamic sensing and decision-making system for the end point of lime coagulation and clarification treatment described in this invention lies in:

[0011] Furthermore, it also includes an execution layer, which includes a pulse sludge discharge valve, a variable frequency sludge scraper, and a servo screw pump. The output end of the sensing layer is connected to the control end of the pulse sludge discharge valve, the variable frequency sludge scraper, and the servo screw pump.

[0012] Furthermore, the edge layer includes a feature extraction engine, a dynamic template matching module, a fuzzy PID controller, and an OPC UA instruction generation module. The output of the perception layer is connected to the input of the fuzzy PID controller via the feature extraction engine and the dynamic template matching module. The output of the fuzzy PID controller is connected to the control terminals of the pulse sludge discharge valve, the variable frequency sludge scraper, and the servo screw pump via the OPC UA instruction generation module.

[0013] This invention discloses a method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment, comprising the following steps:

[0014] The ultrasonic signal of the water sample is obtained by an ultrasonic density sensor; the multispectral image of the water sample is obtained by a multispectral imaging unit; and the impedance spectrum of the water sample is detected by an impedance spectroscopy analyzer.

[0015] The feature extraction engine extracts density features from the ultrasonic signals of the water sample; extracts fractal dimension from the multispectral image of the water sample; and extracts the relaxation time constant τ from the impedance spectrum of the water sample.

[0016] The current DTW distance is calculated using the dynamic template matching module based on density characteristics, fractal dimension, and relaxation time constant τ.

[0017] Determine whether the destination has been reached based on the current DTW distance.

[0018] The further improvement of the dynamic sensing and decision-making method for the end point of lime coagulation and clarification treatment described in this invention lies in:

[0019] Furthermore, we need to determine whether equation (1) is true:

[0020]

[0021] Among them, D i Let δ be the DTW distance of the i-th time window, δ = 0.15, and N = 5 consecutive windows;

[0022] When equation (1) is true, the endpoint prediction signal is triggered, and the fuzzy control PID module is started.

[0023] Furthermore, the fuzzy control PID module calculates the lime slurry dosage Q(t) and the scraper speed v, and uses these to control the servo screw pump and the variable frequency scraper.

[0024] Furthermore, the amount of lime slurry added, Q(t), is:

[0025] Q(t)=Q0+Kp(t)e(t)+Ki(t)∫e(t)dt

[0026] Kp(t)=K p0 +ΔKp

[0027] Ki(t) = K i0 ·(1+0.2|ΔKi|)

[0028] Where Q(t) is the current amount of lime slurry added, Q0 is the baseline amount of lime slurry added, Kp is the proportional coefficient, and Ki is the integral coefficient.

[0029] Furthermore, the rotational speed v of the sludge scraper is:

[0030] v = k·h + b

[0031] k=0.15r / (min·cm); b=0.1r / min.

[0032] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for generating and sending trusted status alarm information.

[0033] The present invention discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the steps of the method for generating and uploading trusted status alarm information are implemented.

[0034] The present invention has the following beneficial effects:

[0035] The lime coagulation and clarification treatment end-point dynamic sensing and decision-making system and method described in this invention, during specific operation, calculates the current DTW distance based on density characteristics, fractal dimension, and relaxation time constant τ using a dynamic template matching module, and determines whether the end-point has been reached based on the current DTW distance. By complementing multi-dimensional data from ultrasonic density, optical morphology, and impedance spectrum, the problem of insufficient reliability of single sensors is solved. Furthermore, it should be noted that this invention solves the problems of pH sensor drift and turbidity measurement inaccuracies under high-temperature environments through multi-modal data fusion and dynamic time warping (DTW) algorithms.

[0036] Furthermore, regular endpoint DTW dynamic matching is adopted: time series similarity matching is used to replace threshold judgment to achieve early endpoint warning, which can be 5 to 8 minutes in advance on average.

[0037] Furthermore, the fuzzy control PID parameter self-tuning combined with expert rules and online optimization can adapt to conditions with drastic fluctuations in water quality, and the amount of lime added can be reduced by an average of more than 17%. Attached Figure Description

[0038] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0039] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0041] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0042] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0043] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0044] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0045] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0047] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0048] Example 1

[0049] refer to Figure 1 The lime coagulation and clarification treatment operation endpoint dynamic sensing and decision-making system of the present invention includes a sensing layer, an edge layer and an execution layer, wherein the sensing layer includes an ultrasonic density sensor, a multispectral imaging unit, an impedance spectrum analyzer and a composite water quality sensor.

[0050] The ultrasonic density sensor employs a 5MHz high-frequency array probe, packaged with a ceramic piezoelectric element and thermally conductive silicone, achieving an IP67 protection rating. This meets the environmental requirements for measuring circulating water in thermal power plants. The operating temperature ranges from -20°C to 80°C, and it can monitor floc density gradients in real time with a resolution of 0.1 g / cm³. 3 Locate the mud-water interface.

[0051] The multispectral imaging unit uses a high frame rate camera in the 400–900 nm band combined with ambient dark field illumination to capture the particle size distribution of flocs (D50 accuracy ±3 μm).

[0052] The impedance spectroscopy analyzer uses a ring electrode assembly (5mm spacing), which is made of platinum-iridium alloy with pulse polarization. During operation, it measures the dielectric properties of the solution at a scanning frequency of 10Hz to 100kHz and inversely calculates the change in the conductivity of the flocs.

[0053] The composite water quality sensor is designed as an adaptive pH / ORP composite probe, with a structure of titanium alloy shell + pulse self-cleaning electrode. The ORP measurement accuracy is ±0.02, and it can simultaneously measure changes in pH and redox potential.

[0054] The output terminals of the ultrasonic density sensor, multispectral imaging unit, impedance spectrum analyzer, and composite water quality sensor are connected to the input terminal of the edge layer. The output terminal of the edge layer is connected to the control terminal of the pulse sludge discharge valve, the control terminal of the variable frequency sludge scraper, and the control terminal of the servo screw pump.

[0055] The edge layer includes a feature extraction engine, a dynamic template matching module, a fuzzy PID controller, and an OPC UA instruction generation module;

[0056] The feature extraction engine is used to obtain density features, fractal dimension, and relaxation time constant τ. Specifically, the ultrasonic signal is decomposed by wavelet decomposition using a field-programmable gate array (FPGA) to extract the energy of the third-level detail coefficients, with a frequency band coverage of 1.25–2.5 MHz, which is used as the density feature. The multispectral image is segmented into floc contours using U-Net, and the fractal dimension is calculated using the Box-Counting algorithm. The impedance spectrum is fitted using a Cole-Cole model, and the relaxation time constant τ is extracted to characterize the charge distribution of the floc.

[0057] The dynamic template matching module calculates the DTW distance based on density characteristics, fractal dimension, and relaxation time constant τ, and determines whether the running endpoint has been reached based on the current DTW distance.

[0058] Specifically, whether the judgment (1) is true:

[0059]

[0060] Among them, D i Let δ be the DTW distance of the i-th time window, δ = 0.15, and N = 5 consecutive windows;

[0061] When equation (1) is true, the endpoint prediction signal is triggered, and the fuzzy control PID module is started.

[0062] The fuzzy control PID module calculates the deviation value e between the current DTW distance and the threshold and the rate of change e% of the deviation value, and establishes a fuzzy control rule base (introducing 35 expert control rules). When IFe = NB and e% = PS, then △Kp = PB, and control rules can be introduced.

[0063] The controlled lime slurry dosage Q(t) is calculated as follows:

[0064] Q(t)=Q0+Kp(t)e(t)+Ki(t)∫e(t)dt

[0065] Kp(t)=K p0 +ΔKp

[0066] Ki(t) = K i0 ·(1+0.2|ΔKi|)

[0067] Where Q(t) is the current lime slurry dosage in mL / min; Q0 is the baseline lime slurry dosage in mL / min; Kp is the proportionality coefficient; and Ki is the integral coefficient.

[0068] The servo screw pump is controlled based on the amount of lime slurry added, Q(t), to control the amount of lime slurry added.

[0069] The sludge scraper speed v is calculated as follows:

[0070] v = k·h + b

[0071] k=0.15r / (min·cm); b=0.1r / min

[0072] The variable frequency scraper is controlled according to the scraper speed v.

[0073] The template library is updated every cycle: when the effluent turbidity is >1 NTU, the current operating condition characteristics are re-collected as a new template.

[0074] Example 2

[0075] The method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment according to the present invention includes the following steps:

[0076] The ultrasonic signal of the water sample is obtained by an ultrasonic density sensor; the multispectral image of the water sample is obtained by a multispectral imaging unit; and the impedance spectrum of the water sample is detected by an impedance spectroscopy analyzer.

[0077] The feature extraction engine extracts density features from the ultrasonic signals of the water sample; extracts fractal dimension from the multispectral image of the water sample; and extracts the relaxation time constant τ from the impedance spectrum of the water sample.

[0078] The current DTW distance is calculated using the dynamic template matching module based on density characteristics, fractal dimension, and relaxation time constant τ.

[0079] Determine whether the destination has been reached based on the current DTW distance.

[0080] Example 3

[0081] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a method for generating and uploading trusted status alarm information. For example, the method includes: acquiring ultrasonic signals of a water sample using an ultrasonic density sensor; acquiring multispectral images of the water sample using a multispectral imaging unit; detecting the impedance spectrum of the water sample using an impedance spectroscopy analyzer; extracting density features based on the ultrasonic signals of the water sample using a feature extraction engine; extracting the fractal dimension based on the multispectral image of the water sample; extracting the relaxation time constant τ based on the impedance spectrum of the water sample; calculating the current DTW distance using a dynamic template matching module based on the density features, fractal dimension, and relaxation time constant τ; and determining whether the running endpoint has been reached based on the current DTW distance. The memory may include main memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which can be an industry standard architecture bus, a peripheral component interconnection standard bus, an extended industry standard architecture bus, etc. The bus can be divided into address bus, data bus, control bus, etc. The memory is used to store programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0082] Example 4

[0083] A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of a method for generating and uploading trusted state alarm information. For example, the method includes: acquiring ultrasonic signals of a water sample using an ultrasonic density sensor; acquiring multispectral images of the water sample using a multispectral imaging unit; detecting the impedance spectrum of the water sample using an impedance spectroscopy analyzer; extracting density features based on the ultrasonic signals of the water sample using a feature extraction engine; extracting the fractal dimension based on the multispectral image of the water sample; extracting the relaxation time constant τ based on the impedance spectrum of the water sample; calculating the current DTW distance using a dynamic template matching module based on the density features, fractal dimension, and relaxation time constant τ; and determining whether the running endpoint has been reached based on the current DTW distance. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0084] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0086] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0087] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0088] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0089] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0090] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A dynamic sensing and decision-making system for the endpoint of lime coagulation and clarification treatment, characterized in that, It includes a sensing layer and an edge layer. The sensing layer includes an ultrasonic density sensor, a multispectral imaging unit, an impedance spectrum analyzer, and a composite water quality sensor installed on the clarification tank. The output terminals of the ultrasonic density sensor, the multispectral imaging unit, the impedance spectrum analyzer, and the composite water quality sensor are connected to the input terminals of the edge layer.

2. The dynamic sensing and decision-making system for the end point of lime coagulation and clarification treatment according to claim 1, characterized in that, It also includes an execution layer, which includes a pulse sludge discharge valve, a variable frequency sludge scraper, and a servo screw pump. The output end of the sensing layer is connected to the control end of the pulse sludge discharge valve, the variable frequency sludge scraper, and the servo screw pump.

3. The dynamic sensing and decision-making system for the end point of lime coagulation and clarification treatment according to claim 2, characterized in that, The edge layer includes a feature extraction engine, a dynamic template matching module, a fuzzy PID controller, and an OPC UA instruction generation module. The output of the perception layer is connected to the input of the fuzzy PID controller via the feature extraction engine and the dynamic template matching module. The output of the fuzzy PID controller is connected to the control terminals of the pulse sludge discharge valve, the variable frequency sludge scraper, and the servo screw pump via the OPC UA instruction generation module.

4. A method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment, characterized in that, The dynamic sensing and decision-making system for the endpoint of lime coagulation and clarification treatment as described in claim 3 includes the following steps: The ultrasonic signal of the water sample is obtained by an ultrasonic density sensor; the multispectral image of the water sample is obtained by a multispectral imaging unit; and the impedance spectrum of the water sample is detected by an impedance spectroscopy analyzer. The feature extraction engine extracts density features from the ultrasonic signals of the water sample; extracts fractal dimension from the multispectral image of the water sample; and extracts the relaxation time constant τ from the impedance spectrum of the water sample. The current DTW distance is calculated using the dynamic template matching module based on density characteristics, fractal dimension, and relaxation time constant τ. Determine whether the destination has been reached based on the current DTW distance.

5. The method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment according to claim 4, characterized in that, Does expression (1) hold true? Among them, D i Let δ be the DTW distance of the i-th time window, δ = 0.15, and N = 5 consecutive windows; When equation (1) is true, the endpoint prediction signal is triggered, and the fuzzy control PID module is started.

6. The method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment according to claim 5, characterized in that, The fuzzy control PID module calculates the lime slurry dosage Q(t) and the scraper speed v, and uses these to control the servo screw pump and the variable frequency scraper.

7. The method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment according to claim 6, characterized in that, The amount of lime slurry added, Q(t), is: Q(t)=Q0+Kp(t)e(t)+Ki(t)∫e(t)dt Kp(t)=K p0 +ΔKp Ki(t)=K i0 ·(1+0.2|ΔKi|) Where Q(t) is the current amount of lime slurry added, Q0 is the baseline amount of lime slurry added, Kp is the proportional coefficient, and Ki is the integral coefficient.

8. The method for dynamic sensing and decision-making at the end point of lime coagulation and clarification treatment according to claim 6, characterized in that, The rotational speed v of the sludge scraper is: v = k·h + b k=0.15r / (min·cm); b=0.1r / min.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for generating and sending trusted status alarm information as described in any one of claims 4-8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for generating and sending trusted status alarm information as described in any one of claims 4-8.

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