Self-adaptive control method for intelligent ammonification of ammonia solution medicine box

Abstract

The invention relates to a self-adaptive control method for intelligent ammonification of an ammonia solution medicine box, which comprises the following steps: S1, acquiring liquid level information and production load information, and judging whether to enter a self-adaptive water inlet flow according to the liquid level information and the production load information; entering a self-adaptive water inlet process, and detecting whether the system operates normally or not; s2, a water inlet valve is opened for water inlet, real-time data and target liquid level data of a water inlet flowmeter are obtained, the valve opening degree is dynamically calculated and adjusted, the target liquid level is achieved, and the water inlet process is completed; s3, opening an ammonia filling valve, starting a sound-light alarm, and monitoring ammonia concentration, change rate information, pipeline pressure information and temperature information in the pesticide box; establishing a dynamic curve model of concentration and time, and automatically judging an ammonia injection end point according to the dynamic curve model; acquiring weighing data of the ammonia bottle, and calculating and displaying the residual ammonia amount in real time; s4, establishing a multi-stage safety and emergency closed-loop processing flow; and S5, data tracing and optimization are carried out. The method has the advantages of few fault points, stable operation, high intelligent degree and the like.

Description

Technical Field

[0001] This invention relates to the field of ammonia solution preparation technology, and in particular to an adaptive control method for intelligent ammonia addition to an ammonia solution tank. Background Technology

[0002] Currently, in industries such as thermal power generation and chemicals, the preparation of ammonia solutions typically relies on manual operation. Operators must manually open valves to add ammonia and water, and monitor parameters such as liquid level and concentration on-site. This method has significant drawbacks:

[0003] 1. Poor safety: Ammonia is highly irritating and flammable and explosive. Manual operation is prone to accidents such as valves not being closed or leaks due to fatigue or negligence. Emergency response depends on manual labor and is severely delayed.

[0004] 2. Low controllability: Key process parameters such as ammonia dosage, concentration, and time rely on manual experience and judgment, resulting in poor consistency and affecting the efficiency and stability of subsequent processes.

[0005] 3. Weak traceability: Operational data records are scattered and prone to errors, making it difficult to achieve accurate traceability and quality analysis of the dispensing process.

[0006] 4. Low efficiency: Personnel need to be on duty for extended periods, automation is low, and labor costs are high. Although personnel are present for monitoring, in the face of emergencies such as sudden ammonia leaks, relying solely on manual response and limited emergency equipment may not be able to handle the situation quickly and effectively. The lack of automated emergency response systems, such as automatic alarms, automatic gas supply shut-off devices, and automatic sprinkler systems, makes it difficult to control the development of an accident in the first instance. This application provides an adaptive control method for intelligent ammonia addition to an ammonia solution tank, which is used to solve the above-mentioned problems. Summary of the Invention

[0007] The main objective of this invention is to solve the problems of poor safety, low controllability, weak traceability, and low efficiency in the preparation process of ammonia solution in the prior art.

[0008] This invention provides an adaptive control method for intelligent ammonia addition to an ammonia solution tank, the adaptive control method comprising: S1. Obtain liquid level information and production load information, and determine whether to enter the adaptive water intake process based on the liquid level information and production load information; Enter the adaptive water intake process, acquire the status information of each valve and the signals of each sensor, and check whether each valve and sensor is operating normally; S2. Open the inlet valve to allow water to enter, obtain real-time data from the inlet flow meter and target liquid level data, dynamically calculate and adjust the valve opening, and slowly close the valve before reaching the target liquid level to complete the water inlet process; S3. Open the ammonia flushing valve, activate the audible and visual alarm, and obtain real-time information on ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Monitor the ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Establish a dynamic curve model of concentration versus time, and automatically determine the endpoint of ammonia flushing based on the dynamic curve model; Acquire ammonia cylinder weighing data and calculate and display the remaining ammonia amount in real time; S4. Establish a multi-level safety and emergency closed-loop handling process; S5. Perform data traceability and optimization.

[0009] Optionally, determining whether to enter the adaptive water intake process based on liquid level information and production load information includes: Determine whether either condition 1 or condition 2 is met. If so, issue an early warning and enter the adaptive water intake process. If not, continuously monitor the liquid level information and production load information. Condition 1 is when the production load is greater than 90MW and the liquid level is lower than 400mm at the same time. Condition 2 is when the liquid level is lower than 240mm.

[0010] Optionally, the target liquid level in the acquisition of real-time data from the influent flow meter and target liquid level data is 900 mm.

[0011] Optionally, the establishment of a multi-level safety and emergency closed-loop processing procedure includes: Establish a first-level early warning process, a second-level linkage process, a third-level interlocking process, and a pressure failure protection process.

[0012] Optionally, the establishment and early warning process includes: Determine if the concentration in the work area is greater than 10 ppm. If so, issue an audible and visual alarm.

[0013] Optionally, the establishment of the two-level linkage process includes: If the concentration in the work area or at the monitoring point is greater than 25 ppm, it is determined to be a leak. In an emergency, all ammonia valves should be shut off and the on-site sprinkler system should be activated.

[0014] Optionally, the process of establishing a three-tier chain includes: The leak signal is uploaded to the plant safety platform, the area ventilation is activated in a chain reaction, and a notification message is sent to the central control room.

[0015] Optionally, the pressure failure protection process includes: if the ammonia cylinder outlet pressure suddenly drops to the threshold (0.2 MPa), the process is immediately terminated, and an alarm is triggered indicating "ammonia cylinder depleted or pipeline failure".

[0016] Optionally, the data tracing and optimization includes: Automatically generate ammonia addition operation reports, including: start / end time, actual ammonia addition duration, total influent volume, estimated ammonia consumption, maximum process concentration, operator, and any abnormal events; Analyze ammonia addition efficiency information based on the work report.

[0017] This invention boasts high safety: it constructs a four-level safety protection system of "monitoring-early warning-linkage-emergency response," achieving a leap from passive response to active protection; intelligent self-adaptation: breaking through fixed time-sequence control, it dynamically determines the ammonia flushing endpoint based on real-time process data (concentration change curves), improving the accuracy and efficiency of the mixing ratio; full-process traceability: it automatically records data throughout the entire process, forming electronic batch records to meet the requirements of quality management and accident traceability; predictive maintenance: by analyzing data such as valve action time and pressure curves, it can provide early warnings of potential equipment failures; integration and scalability: the system is easily integrated with factory MES and SIS systems, providing a foundation for building a smart factory; it prevents accidents caused by operators neglecting to close all valves for extended periods; it reduces direct contact between operators and ammonia gas, improving the working environment, reducing the harm of ammonia gas to the human body, and meeting occupational health and safety requirements. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the structure of this application; Figure 2 This is a schematic diagram comparing the effects of adaptive ammonia flushing and timed ammonia flushing in this application; Figure 3 This is a flowchart of this application. Detailed Implementation

[0019] This invention provides an adaptive control method for intelligent ammonia addition to an ammonia solution tank, comprising: S1. Acquiring liquid level information and production load information, and determining whether to enter the adaptive water inlet process based on the liquid level information and production load information; upon entering the adaptive water inlet process, acquiring the status information of each valve and the signals of each sensor, and checking whether each valve and sensor is operating normally; S2. Opening the water inlet valve to allow water in, acquiring real-time data from the water inlet flow meter and the target liquid level data, dynamically calculating and adjusting the valve opening, and slowly closing the valve before reaching the target liquid level to complete the water inlet process; S3. Opening the ammonia flushing valve, activating the audible and visual alarm, and real-time... The invention acquires information on ammonia concentration, rate of change, pipeline pressure, and temperature within the tank, and monitors these parameters. A dynamic curve model of concentration versus time is established, and the endpoint of ammonia flushing is automatically determined based on this model. Ammonia cylinder weighing data is acquired, and the remaining ammonia quantity is calculated and displayed in real time. S4. A multi-level safety and emergency closed-loop processing procedure is established. S5. Data traceability and optimization are performed. The main objective of this invention is to solve the problems of poor safety, low controllability, weak traceability, and low efficiency in the existing ammonia solution preparation process.

[0020] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] Example Reference manual attached Figure 1 This embodiment provides an adaptive control method for intelligent ammonia addition to an ammonia solution tank, mainly used in an intelligent ammonia addition system for an ammonia solution tank. The ammonia addition system specifically includes: S1. Obtain liquid level information and production load information, and determine whether to enter the adaptive water intake process based on the liquid level information and production load information; Enter the adaptive water intake process, acquire the status information of each valve and the signals of each sensor, and check whether each valve and sensor is operating normally; S2. Open the inlet valve to allow water to enter, obtain real-time data from the inlet flow meter and target liquid level data, dynamically calculate and adjust the valve opening, and slowly close the valve before reaching the target liquid level to complete the water inlet process; S3. Open the ammonia flushing valve, activate the audible and visual alarm, and obtain real-time information on ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Monitor the ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Establish a dynamic curve model of concentration versus time, and automatically determine the endpoint of ammonia flushing based on the dynamic curve model; Acquire ammonia cylinder weighing data and calculate and display the remaining ammonia amount in real time; S4. Establish a multi-level safety and emergency closed-loop handling process; S5. Perform data traceability and optimization.

[0022] The step of determining whether to enter the adaptive water intake process based on liquid level information and production load information includes: Determine whether either condition 1 or condition 2 is met. If so, issue an early warning and enter the adaptive water intake process. If not, continuously monitor the liquid level information and production load information. Condition 1 is when the production load is greater than 90MW and the liquid level is lower than 400mm at the same time. Condition 2 is when the liquid level is lower than 240mm.

[0023] The target liquid level in the acquisition of real-time data from the influent flow meter and target liquid level data is 900 mm.

[0024] The establishment of a multi-level safety and emergency closed-loop processing procedure includes: Establish a first-level early warning process, a second-level linkage process, a third-level interlocking process, and a pressure failure protection process.

[0025] The establishment and early warning process includes: Determine if the concentration in the work area is greater than 10 ppm. If so, issue an audible and visual alarm.

[0026] The process for establishing a two-level linkage includes: If the concentration in the work area or at the monitoring point is greater than 25 ppm, it is determined to be a leak. In an emergency, all ammonia valves should be shut off and the on-site sprinkler system should be activated.

[0027] The process for establishing a three-tier chain includes: The leak signal is uploaded to the plant safety platform, the area ventilation is activated in a chain reaction, and a notification message is sent to the central control room.

[0028] The pressure failure protection process includes: if the ammonia cylinder outlet pressure suddenly drops to the threshold (0.2MP), the process is immediately terminated, and an alarm is triggered indicating "ammonia cylinder depleted or pipeline failure".

[0029] The data tracing and optimization process includes: Automatically generate ammonia addition operation reports, including: start / end time, actual ammonia addition duration, total influent volume, estimated ammonia consumption, maximum process concentration, operator, and any abnormal events; Analyze ammonia addition efficiency information based on the work report.

[0030] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An adaptive control method for intelligent ammonia addition to an ammonia solution tank, characterized in that, include: S1. Obtain liquid level information and production load information, and determine whether to enter the adaptive water intake process based on the liquid level information and production load information; Enter the adaptive water intake process, acquire the status information of each valve and the signals of each sensor, and check whether each valve and sensor is operating normally; S2. Open the inlet valve to allow water to enter, obtain real-time data from the inlet flow meter and target liquid level data, dynamically calculate and adjust the valve opening, and slowly close the valve before reaching the target liquid level to complete the water inlet process; S3. Open the ammonia flushing valve, activate the audible and visual alarm, and obtain real-time information on ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Monitor the ammonia concentration, rate of change, pipeline pressure, and temperature in the medicine tank. Establish a dynamic curve model of concentration versus time, and automatically determine the endpoint of ammonia flushing based on the dynamic curve model; Acquire ammonia cylinder weighing data and calculate and display the remaining ammonia amount in real time; S4. Establish a multi-level safety and emergency closed-loop handling process; S5. Perform data traceability and optimization.

2. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 1, characterized in that, The step of determining whether to enter the adaptive water intake process based on liquid level information and production load information includes: Determine whether either condition 1 or condition 2 is met. If so, issue an early warning and enter the adaptive water intake process. If not, continuously monitor the liquid level information and production load information. Condition 1 is when the production load is greater than 90MW and the liquid level is lower than 400mm at the same time. Condition 2 is when the liquid level is lower than 240mm.

3. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 2, characterized in that, The target liquid level in the acquisition of real-time data from the influent flow meter and target liquid level data is 900 mm.

4. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 3, characterized in that, The establishment of a multi-level safety and emergency closed-loop processing procedure includes: Establish a first-level early warning process, a second-level linkage process, a third-level interlocking process, and a pressure failure protection process.

5. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 4, characterized in that, The establishment and early warning process includes: Determine if the concentration in the work area is greater than 10 ppm. If so, issue an audible and visual alarm.

6. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 5, characterized in that, The process for establishing a two-level linkage includes: If the concentration in the work area or at the monitoring point is greater than 25 ppm, it is determined to be a leak. In an emergency, all ammonia valves should be shut off and the on-site sprinkler system should be activated.

7. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 6, characterized in that, The process for establishing a three-tier chain includes: The leak signal is uploaded to the plant safety platform, the area ventilation is activated in a chain reaction, and a notification message is sent to the central control room.

8. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 7, characterized in that, The pressure failure protection process includes: if the ammonia cylinder outlet pressure suddenly drops to the threshold (0.2MP), the process is immediately terminated, and an alarm is triggered indicating "ammonia cylinder depleted or pipeline failure".

9. The adaptive control method for intelligent ammonia addition to an ammonia solution tank according to claim 8, characterized in that, The data tracing and optimization process includes: Automatically generate ammonia addition operation reports, including: start / end time, actual ammonia addition duration, total influent volume, estimated ammonia consumption, maximum process concentration, operator, and any abnormal events; Analyze ammonia addition efficiency information based on the work report.

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