Online monitoring control method and system for water treatment colloid of thermal power plant

Abstract

The invention relates to the technical field of industrial water treatment automatic monitoring and control, and discloses a thermal power plant water treatment colloid online monitoring control method and system, and the method comprises the steps: obtaining the feature data of a first object; monitoring the state of the first object and transmitting the state to the second object; and regulating and controlling the first object through the second object. The colloid content in water is monitored in real time, and the addition amount of the medicament is accurately adjusted in combination with an automatic control system, so that the efficiency and the stability of the water treatment process are effectively improved. Compared with a traditional method, manual intervention is reduced, agent waste or insufficiency caused by water quality fluctuation is avoided, safe operation of equipment is guaranteed, and scaling and pollutant residues are reduced. In addition, the technology can adapt to diversified water quality conditions, the operation cost is reduced, and the resource utilization rate is increased.

Description

Technical Field

[0001] The invention relates to the technical field of industrial water treatment automation monitoring and control, and in particular to an online monitoring and control method and system for water treatment colloid in a thermal power plant. Background Art

[0002] With the acceleration of industrialization, the demand for water treatment technology in various industries has been increasing, especially in thermal power plants, municipal water treatment plants, industrial cooling water systems and other fields. The stability of water quality directly affects the safety and operation efficiency of equipment. Traditional water treatment methods mainly rely on manual sampling, offline detection and intermittent manual addition of chemical agents. However, the presence of colloids and suspended matter in water has a significant impact on water transparency, corrosiveness and scaling, and its concentration usually changes with the fluctuation of influent water quality and environmental conditions. In order to improve the processing accuracy and resource utilization efficiency, various online monitoring technologies and automatic control systems have received widespread attention in recent years. Common online monitoring technologies include turbidity sensors, conductivity measurement and ultrasonic detection, which can realize water quality monitoring and optimize the amount of agent addition to a certain extent. However, the real-time and accuracy of these methods are still difficult to meet the increasingly stringent water treatment requirements, especially when the water quality fluctuates greatly, the hysteresis and adaptability of traditional monitoring and control methods are particularly prominent.

[0003] In the prior art, the removal of colloids and suspended solids in water in water treatment systems often relies on the addition of fixed doses of reagents, which are usually simply automatically controlled based on historical experience or preset thresholds. However, this control method is difficult to adapt to the real-time changing water quality conditions, and is prone to excessive or insufficient addition of reagents, which leads to adverse consequences such as equipment scaling, reagent waste, and pollutant residues. Although technical means such as turbidity measurement are used in some scenarios to monitor suspended particles in water, their monitoring accuracy is low, making it difficult to capture changes in the concentration of tiny colloidal particles, and their stability is poor in strong interference environments. In addition, the control method based on intermittent sampling and manual adjustment also greatly increases labor costs and operational complexity. In order to overcome these problems, the field of water treatment technology urgently needs a high-precision control technology that can monitor and automatically adjust the dosage of reagents in real time to adapt to unstable water quality conditions and improve the stability of the water treatment process and resource utilization efficiency. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the difficulty in real-time monitoring of colloids and suspended matter in existing water treatment, and the problem that the amount of reagent added cannot be automatically and accurately adjusted.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for online monitoring and control of water treatment colloid in a thermal power plant, comprising:

[0007] Acquiring feature data of a first object;

[0008] monitoring the state of the first object and transmitting it to the second object;

[0009] The first object is regulated by the second object.

[0010] As a preferred solution of the on-line monitoring and control method for water treatment colloid in a thermal power plant described in the present invention, the characteristic data includes data that can affect the regulation direction of the second object and the working state of the first object.

[0011] As a preferred solution of the on-line monitoring and control method for water treatment colloid in a thermal power plant described in the present invention, wherein: the monitoring of the state of the first object includes processing the state data of the first object to realize the monitoring of the first object.

[0012] As a preferred solution of the on-line monitoring and control method for water treatment colloid in a thermal power plant described in the present invention, the state of the first object includes the comprehensive quality parameters of the first object and the working stability of the first object.

[0013] As a preferred solution of the on-line monitoring and control method of water treatment colloid in a thermal power plant described in the present invention, wherein: the processing of the state data of the first object includes quality control of the characteristic data, and analyzing the quality-controlled data using sensor analysis technology;

[0014] The quality control includes improving the quality and accuracy of the feature data.

[0015] As a preferred solution of the online monitoring and control method of water treatment colloid in a thermal power plant described in the present invention, wherein: regulating the first object through the second object includes regulating the first object according to the monitoring result of the first object, and analyzing the state of the first object after regulation in real time.

[0016] As a preferred solution of the on-line monitoring and control method of water treatment colloid in a thermal power plant according to the present invention, wherein: regulating the first object includes regulating the first object by automatic control technology;

[0017] The automatic control technology includes, but is not limited to, PID control technology.

[0018] As a preferred solution of the on-line monitoring and control method of water treatment colloid in a thermal power plant described in the present invention, wherein: a data module obtains characteristic data of a first object;

[0019] A monitoring module, monitoring the status of the first object and transmitting it to the second object;

[0020] A control module controls the first object through the second object.

[0021] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any one of the methods of the present invention when executing the computer program.

[0022] A computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of any one of the methods of the present invention.

[0023] Beneficial effects of the present invention: The on-line monitoring and control method for water treatment colloids in thermal power plants provided by the present invention monitors the colloid content in water in real time, and realizes precise adjustment of the amount of reagent addition in combination with the automatic control system, effectively improving the efficiency and stability of the water treatment process. Compared with traditional methods, the present invention reduces manual intervention, avoids waste or shortage of reagents due to water quality fluctuations, ensures the safe operation of the equipment, and reduces scaling and residual pollutants. In addition, the technology can adapt to a variety of water quality conditions, reduce operating costs, and improve resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0025] Figure 1 An overall flow chart of an online monitoring and control method for water treatment colloid in a thermal power plant provided by the first embodiment of the present invention;

[0026] Figure 2 A system schematic diagram of an online monitoring and control method for water treatment colloid in a thermal power plant provided by a second embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0028] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides an online monitoring and control method for water treatment colloid in a thermal power plant, comprising:

[0029] S1: Acquire feature data of a first object.

[0030] In the embodiment of the present application, the first object is a water quality object that is monitored and regulated in real time, and the second object is a computer processing unit that receives and analyzes the status data of the first object, and controls the amount of reagent added according to the analysis results to achieve automatic adjustment of the first object.

[0031] Furthermore, in an optional embodiment, the first object may also be a key device or water pipe in the entire water treatment system, the status of which may need to be monitored and regulated to ensure the stability of the colloid and suspended solids treatment process. The second object may be a central controller or automatic dosing equipment for receiving sensor data and implementing control, or a remote monitoring system that manages multiple first objects through the Internet of Things to achieve clustered water treatment optimization and remote regulation.

[0032] Furthermore, the first object can also be the concentration of suspended particles and harmful gases in the air as air quality targets that need to be detected and controlled. The second object is the control system of the air purification equipment, which receives data from the air quality sensor and adjusts the wind speed and filtration intensity of the purifier to ensure that the concentration of harmful substances in the air is maintained within a safe range.

[0033] The first object can be the environmental conditions in the greenhouse, which affect the growth of plants and need to be monitored and adjusted in real time. The second object can be the control unit of the temperature control system or humidification equipment, which receives sensor data and automatically adjusts the heater, humidifier and ventilation equipment in the greenhouse to ensure that the environmental conditions are suitable for plant growth.

[0034] The first object can be the temperature and cutting depth of the metal or material surface. Real-time monitoring of these parameters can ensure the cutting quality. The second object is the control system of the laser cutting machine, which automatically adjusts the laser intensity, focal length or moving speed based on the feedback information to maintain accurate cutting effect and material processing accuracy.

[0035] The characteristic data includes data that can affect the control direction of the second object and the working state of the first object.

[0036] Furthermore, obtaining the characteristic data of the first object provides the control system with real-time and accurate basic information, which is the key to achieving precise automatic control. By acquiring real-time data, the control system can dynamically respond to changes in the state of the first object, optimize resource usage, reduce waste, and adjust system parameters in a timely manner when necessary to ensure that the system is continuously in the best state. The feedback of characteristic data not only improves the accuracy and efficiency of control, but also enhances the stability and reliability of the system, helps to extend the life of equipment and prevent failures, and promotes the efficient operation of the automation process.

[0037] S2: Monitor the status of the first object and transmit it to the second object.

[0038] Monitoring the state of the first object includes processing state data of the first object to achieve monitoring of the first object.

[0039] The state of the first object includes a comprehensive quality parameter of the first object and an operating stability of the first object.

[0040] Processing the state data of the first object includes performing quality control on the characteristic data and analyzing the quality-controlled data using a sensor analysis technique.

[0041] The quality control includes improving the quality and accuracy of the feature data.

[0042] Furthermore, by processing the state data of the first object and transmitting it to the second object, accurate monitoring of the first object can be achieved to ensure high quality and accuracy of the data. Specifically, a comprehensive analysis of the comprehensive quality parameters and working stability of the first object is conducted, and the reliability of the characteristic data is improved by using quality control and sensor analysis technology, so as to obtain more accurate state feedback. This provides a solid data foundation for subsequent automatic control, enabling the system to respond accurately according to the actual state and ensure the operating stability and overall quality of the first object.

[0043] S3: regulating the first object through the second object.

[0044] Regulating the first object through the second object includes regulating the first object according to the monitoring result of the first object, and analyzing the state of the first object after regulation in real time.

[0045] Regulating the first object includes regulating the first object through an automated control technology;

[0046] In the embodiment of the present application, the automation control technology is PID control technology. By adjusting the three parameters of proportion, integration and differentiation, the system is responded to and adjusted dynamically in real time. This control technology can make rapid and accurate feedback adjustments to the state changes of the first object, ensuring the precise control of the amount of reagent added during the water treatment process, thereby improving the stability and treatment efficiency of the system and reducing manual intervention and resource waste.

[0047] In an optional embodiment, the automated control technology can also be model predictive control, which optimizes the current control input based on a pre-established mathematical model by predicting the future output behavior of the system. The system predicts the output for a period of time in the future in each control cycle and adjusts the amount of reagent added to make the water quality parameters reach the target value.

[0048] Automatic control technology or fuzzy logic rules are used to determine the control operation. According to the fuzzy evaluation results of indicators such as colloid concentration in water, the system can automatically adjust the amount of reagent added.

[0049] Automated control technology can be a neural network control that automatically "learns" historical water quality data and control operation relationships through machine learning, thereby continuously optimizing the control strategy. The system adjusts the amount of reagents added based on real-time data and gradually improves control accuracy.

[0050] Furthermore, by using sliding mode control to maintain control on the "sliding surface", the amount of reagent added is automatically adjusted to a range that meets the target water quality requirements.

[0051] Furthermore, the state of the first object is regulated in real time through the automation control technology of the second object, realizing the precise management of water quality parameters. Through dynamic feedback adjustment of the state of the first object, different control technologies (such as PID control, model predictive control, fuzzy control, neural network control and sliding mode control) can optimize the amount of reagents added according to the real-time monitoring results, thereby ensuring that the system maintains efficient and stable treatment effects under variable water quality conditions. This intelligent regulation reduces manual intervention and improves the stability and resource utilization of the water treatment system.

[0052] Example 2, reference Figure 2 , which is an embodiment of the present invention, provides an online monitoring and control method for water treatment colloid in a thermal power plant, comprising:

[0053] A sampling tube is set behind the coagulant addition point to introduce the water sample into a transparent sampling tank. A sewage outlet is set in the tank to keep the water sample flowing continuously and prevent impurities from settling.

[0054] Furthermore, through continuous sampling, real-time characteristic data of colloids in water can be obtained to ensure the quality of water samples and provide a reliable data basis for subsequent detection and control.

[0055] A blue light source is installed on the side of the sampling tank and the focus is adjusted so that the light source illuminates the colloidal particles in the water sample, and the Tyndall effect (light scattering) produced by the colloid is used to monitor the colloid concentration. A camera is set up to sample the light scattering phenomenon in real time.

[0056] Furthermore, the Tyndall effect is used to observe changes in colloid concentration and generate visible light scattering images to accurately detect the colloid content in water and obtain real-time water quality status information.

[0057] Part of the light scattering image collected by the camera is transmitted to the monitoring screen for the operator to observe, and the other part is transmitted to the computer processing unit. After receiving the image signal, the computer analyzes the intensity of the Tyndall effect to determine the change in colloid concentration.

[0058] The PID control algorithm is set in the computer to adjust the frequency and dosage of the dosing pump according to the real-time monitored colloid concentration. When the colloid concentration deviates from the preset standard, the PID controller automatically adjusts the amount of coagulant added to maintain stable water quality.

[0059] During the dosage adjustment process, the system automatically calibrates the control parameters to ensure that the control results are consistent with the actual water quality requirements. After the adjustment is completed, the calibrated parameters are saved in the computer.

[0060] Furthermore, through automatic correction and parameter storage, the control strategy is optimized to enable the system to adapt to long-term changes in water quality conditions and ensure the accuracy and consistency of subsequent regulation.

[0061] Embodiment 3 is an embodiment of the present invention, which provides an online monitoring and control system for water treatment colloid in a thermal power plant, comprising:

[0062] The data module obtains characteristic data of the first object.

[0063] The monitoring module monitors the status of the first object and transmits it to the second object.

[0064] A control module controls the first object through the second object.

[0065] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0066] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0067] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] Example 4, the experiment is set up behind the coagulant addition point of the system. First, the selected transparent sampling tank is installed on site to ensure real-time monitoring of the colloid removal process. The water sample is introduced into the sampling tank through a sampling tube, and a sewage outlet is provided at the bottom of the tank so that the water sample is continuously updated and the accumulation of impurities is prevented from affecting the results. The blue light source is fixed on the side of the tank, and the light beam is focused to ensure that the water sample is fully illuminated by the light beam, and the Tyndall phenomenon is used to detect the colloid concentration in the water. The water sample in the sampling tank is irradiated by the light source to produce a scattering phenomenon, and the camera records the scattered image in real time and transmits the image data to the computer processing unit.

[0070] In the data processing stage, the computer identifies the light scattering intensity through image analysis, obtains the colloid concentration in the water sample, and makes feedback adjustments based on the PID control algorithm. The computer system sets up automatic control of the coagulant pump. When the colloid concentration deviates from the preset standard, the PID control module adjusts the pump frequency, increases or decreases the amount of coagulant added, and ensures that the colloid concentration in the water remains within the target range. Five water quality change tests were conducted in the experiment, and the inlet colloid concentration was adjusted each time to simulate the complex water quality changes on site. Through automatic monitoring and feedback regulation, the control effect under different conditions was recorded. The experimental data are described in Table 1.

[0071] Table 1 Experimental data table

[0072]

[0073] It can be seen from the experimental data that the present invention realizes precise regulation of colloid concentration through automated control, so that the stable concentration of each experiment is close to the set target value of 50 mg / L. Compared with the traditional fixed dosage method, the present invention adjusts the amount of coagulant added at different initial colloid concentrations to ensure the effective removal of colloids. For example, when the initial concentration is 150 mg / L, the system successfully controls the stable concentration at 50.3 mg / L after regulation, achieving fast and stable drug control. In addition, the change in regulation time also reflects the response speed of the system. As the initial concentration increases, the PID control algorithm quickly gives feedback, so that the amount of coagulant added accurately matches the actual demand, thereby achieving efficient control of water treatment.

[0074] Compared with the traditional manual adjustment method, the present invention not only improves the system's adaptability to water quality changes, but also has significant advantages in control accuracy and response speed. It can be seen from the experiment that the Tyndall effect optical detection adopted by the present invention realizes real-time monitoring of the colloid concentration in water, and combines PID control to automatically match the time and dosage of coagulant addition to the water quality requirements, thereby avoiding the waste of reagents caused by human adjustment errors. Especially under experimental conditions where the colloid concentration changes dramatically (such as Experiment 5), the system automatically adjusts to achieve a stable control effect, greatly reducing the operating cost and the need for manual intervention. Overall, the present invention has significant innovation and practicality, can meet the high-precision control requirements in complex water treatment scenarios, and solves the problem of low precision in water quality monitoring and reagent regulation in the prior art.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for online monitoring and control of water treatment colloid in a thermal power plant, characterized in that: include: Acquiring feature data of a first object; monitoring the state of the first object and transmitting it to the second object; The first object is regulated by the second object.

2. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 1, characterized in that: The characteristic data includes data that can affect the control direction of the second object and the working state of the first object.

3. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 2, characterized in that: The monitoring of the state of the first object includes processing state data of the first object to achieve monitoring of the first object.

4. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 3, characterized in that: The state of the first object includes a comprehensive quality parameter of the first object and an operating stability of the first object.

5. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 4, characterized in that: The processing of the state data of the first object includes performing quality control on the characteristic data and analyzing the quality-controlled data using a sensor analysis technique; The quality control includes improving the quality and accuracy of the feature data.

6. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 5, characterized in that: Regulating the first object through the second object includes regulating the first object according to the monitoring result of the first object, and analyzing the state of the first object after regulation in real time.

7. The method for online monitoring and control of water treatment colloid in a thermal power plant according to claim 6, characterized in that: Regulating the first object includes regulating the first object through an automated control technology; The automatic control technology includes, but is not limited to, PID control technology.

8. An online monitoring and control system for water treatment colloid in a thermal power plant using the method as claimed in any one of claims 1 to 7, characterized in that: A data module, for acquiring feature data of a first object; A monitoring module, monitoring the status of the first object and transmitting it to the second object; A control module controls the first object through the second object.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for online monitoring and control of water treatment colloid in a thermal power plant according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for online monitoring and control of water treatment colloid in a thermal power plant according to any one of claims 1 to 7 are implemented.

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