Ammonia water automatic concentration intelligent adjustment and safety control system

Abstract

The invention discloses an automatic ammonia water concentration intelligent adjustment and safety control system, and relates to the technical field of ammonia water concentration automatic control and safety protection, and the system comprises a concentration detection module which adopts a high-precision sensor and a temperature compensation unit, and transmits the processed data to an intelligent control module; the intelligent control module carries a processor and a self-adaptive algorithm and compares data to calculate deviation; the medicament conveying module is used for controlling the conveying flow proportion according to an instruction to form closed-loop control; the stirring and mixing module consists of a variable frequency motor and a stirring paddle, and dynamically adjusts the rotating speed according to deviation, volume and specification; the safety monitoring module integrates multiple types of sensors and monitors multi-dimensional parameters; the data storage and communication module adopts a double-storage architecture and stores various data; and the man-machine interaction module is provided with a touch screen and keys, displays information and supports operation. The concentration adjustment is accurate, and the temperature compensation and closed-loop control guarantee the concentration stability; remote control is safe and traceable, and various use requirements are met.

Description

An intelligent automatic concentration adjustment and safety control system for ammonia water Technical Field

[0001] This invention relates to the field of automatic control and safety protection technology for ammonia water concentration, and in particular to an intelligent automatic concentration adjustment and safety control system for ammonia water. Background Technology

[0002] Ammonia is a commonly used chemical in chemical production, environmental treatment, and laboratory research. Its concentration stability directly affects production process effectiveness, experimental data accuracy, and treatment efficiency. Currently available ammonia concentration control systems mostly employ single-sensor detection and simple proportional control, lacking temperature compensation mechanisms and precise calibration logic. Ammonia concentration is easily affected by changes in ambient temperature, leading to detection deviations and distorted control commands, failing to meet the demands of high-precision applications. Simultaneously, reagent delivery modules often use ordinary metering pumps and single flow feedback, lacking closed-loop control. The ratio of ammonia to water is difficult to control precisely, resulting in significant deviations between the added amount and the commanded value. Mixing modules are mostly designed with fixed rotation speeds, unable to dynamically adjust based on concentration deviations, solution volume, and other actual conditions. This easily leads to uneven concentrations or solution splashing, affecting control effectiveness and operational safety.

[0003] In terms of safety protection, existing systems have limited monitoring dimensions, often only monitoring ammonia concentration or equipment pressure, lacking comprehensive monitoring of key parameters such as liquid level, explosion-proof status, and ambient temperature and humidity, resulting in incomplete safety risk identification. Safety risk assessments rely heavily on single threshold judgments, lacking multi-factor comprehensive assessment models, making it difficult to accurately define risk levels and leading to false or missed warning signals. Emergency response mechanisms are simplistic, triggering only single shutdown or alarm actions for different levels of safety risks, lacking tiered response strategies, failing to effectively prevent risk spread, and lacking complete data recording of emergency processes, hindering subsequent troubleshooting and process optimization. Furthermore, remote monitoring capabilities are weak, often only supporting data viewing, lacking remote operation permissions and encrypted verification mechanisms, resulting in insufficient operational security and traceability, failing to meet the management needs of unattended scenarios.

[0004] Insufficient equipment maintenance and scenario adaptability are also prominent issues in existing systems. Most systems lack automatic diagnostics and health management functions, making it difficult to detect performance degradation and potential malfunctions of core components in a timely manner. This necessitates regular manual inspections, resulting in high maintenance costs and a high risk of unplanned downtime. Energy consumption control awareness is weak; metering pumps, stirring motors, and other equipment often operate with fixed parameters without optimization based on concentration adjustment needs and equipment energy consumption characteristics, leading to energy waste. Furthermore, existing systems are mostly designed for single scenarios, lacking dedicated parameter configurations for different scenarios such as chemical production, laboratory research, and environmental treatment. Adjustment accuracy, response speed, and safety thresholds cannot flexibly adapt to the process requirements of different scenarios, limiting their versatility and practicality. Summary of the Invention

[0005] The present invention proposes an intelligent automatic concentration adjustment and safety control system for ammonia water to solve the problems mentioned in the prior art.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent automatic concentration adjustment and safety control system for ammonia water, comprising the following modules: a concentration detection module, which uses a high-precision concentration sensor and a temperature compensation unit to collect concentration and temperature data in the ammonia water storage tank and reaction vessel in real time, eliminates interference through signal amplification and filtering, outputs stable data, and synchronously transmits it to the intelligent control module; an intelligent control module, equipped with a processor and an adaptive adjustment algorithm, which receives the detection data and compares it with a preset concentration threshold in real time, generates control commands for reagent addition and dilution water volume based on solution volume and reaction progress, and dynamically adjusts the strategy in conjunction with the data from the safety monitoring module; and a reagent delivery module, including an ammonia water storage tank, a clean water storage tank, a frequency conversion metering pump, a high-precision flow sensor, and an explosion-proof solenoid valve, which receives control commands to control the start and stop of the metering pump, its operating power and duration, and adjusts the flow rate of ammonia water and clean water. The system includes a mixing module consisting of a variable frequency stirring motor, a spiral stirring paddle, and a speed feedback unit. It receives start / stop and speed adjustment commands from the intelligent control module and dynamically adjusts the speed based on concentration deviation, solution volume, and container specifications. A safety monitoring module integrates an ammonia leak sensor, pressure sensor, liquid level sensor, explosion-proof detection unit, and ambient temperature and humidity sensor. It monitors relevant parameters of the ammonia storage and usage environment in real time, immediately sending an early warning signal to the intelligent control module and recording the anomaly when data exceeds thresholds. A data storage and communication module employs a dual-storage architecture of local industrial-grade storage units and a cloud server, storing various detection data, control commands, equipment operating status, and fault records in real time, supporting multi-dimensional data query and export. A human-machine interface module features an industrial-grade touchscreen display and waterproof / dustproof physical operation buttons, displaying various parameters, equipment status, early warning information, and energy consumption data in real time.

[0007] Furthermore, it also includes a concentration deviation correction module. This module receives real-time concentration and temperature values ​​from the concentration detection module, and, combined with the characteristics of ammonia concentration changing with temperature, uses a formula to... Calculate the concentration deviation correction amount after temperature compensation, where This is the concentration correction amount. The coefficient representing the effect of ammonia water temperature. For the actual measured temperature, For standard reference temperature, This is the initial detection concentration.

[0008] Furthermore, it also includes a safety risk assessment module, which integrates ammonia concentration, pressure, and liquid level data from the safety monitoring module, and uses formulas to... Calculate the security risk level, where Based on safety risk level, The weighting is determined by the influence of ammonia concentration. This is the ratio of the actual ammonia concentration to the safety threshold. Pressure affects weight. This is the ratio of actual pressure to the safety threshold. The weighting is determined by the influence of liquid level. This is the ratio of the actual liquid level to the safety threshold. For ventilation compensation weight, This is the ventilation efficiency coefficient, which triggers corresponding safety measures based on the risk level.

[0009] Furthermore, it also includes a stirring optimization module. This module receives concentration deviation data, solution volume information, and container specification parameters from the intelligent control module. Combined with the real-time speed and operating current feedback of the stirring and mixing module, it dynamically optimizes the stirring strategy. In the initial stage of concentration adjustment, a step-by-step speed-up mode is adopted, and when the concentration approaches the preset threshold, a gradual speed-down mode is adopted. The operating current, temperature, and vibration parameters of the stirring motor are monitored in real time.

[0010] Furthermore, it also includes an emergency response module, which is linked with the safety monitoring module, intelligent control module, and remote monitoring platform. It has a built-in hierarchical emergency response mechanism. Upon receiving risk warning signals of different levels, it will activate the corresponding emergency procedures. In low-risk situations, only audible and visual warnings and data recording will be triggered. In medium-risk situations, the solenoid valves and metering pumps of the agent delivery module will be shut down, the delivery channels of ammonia water and clean water will be cut off, and the explosion-proof ventilation equipment will be activated to accelerate the diffusion of ammonia gas. In high-risk situations, in addition to the measures for medium-risk situations, the emergency sprinkler system will be activated to reduce the concentration of ammonia gas in the environment, the fire alarm system will be linked to send an alarm, the ventilation duct valves in relevant areas will be closed to block the diffusion path of ammonia gas, and emergency alarms and real-time data will be sent to the remote monitoring platform and on-site emergency terminals through the data storage and communication module.

[0011] Furthermore, it also includes a remote monitoring module, which is equipped with an edge computing node and an encrypted communication unit. It establishes a stable connection with the data storage and communication module through 5G industrial Ethernet, wireless IoT multi-link redundant communication protocol, and supports users to view in real time on remote terminals, receive graded early warnings and emergency alarms, and push SMS reminders simultaneously. It has the authority to remotely set concentration thresholds, adjust control parameters, start and stop equipment, and remotely calibrate sensors. Remote operation commands must be triggered and executed after triple verification of identity verification, permission review, and command encryption. It supports multi-user hierarchical management, with different levels of users corresponding to different operating ranges and data access permissions.

[0012] Furthermore, it also includes a self-diagnostic module. This module is set to perform three levels of self-inspection on a daily, weekly, and monthly basis. It conducts comprehensive performance tests on the core components of the concentration detection module, reagent delivery module, mixing module, safety monitoring module, and data communication module. During the testing process, standard calibration solutions and flow standard devices are used for comparison and verification. The test results are compared with preset performance thresholds. When abnormalities, performance degradation, or communication failures are found in components, maintenance reminders are sent through both the human-machine interaction module and the remote monitoring platform. The system records abnormal component information, test data, and historical operating data, establishes component health records, and predicts the remaining service life of components through trend analysis.

[0013] Furthermore, it also includes an energy consumption optimization module. This module has a built-in energy consumption model and dynamic optimization algorithm. It analyzes the control commands of the intelligent control module, equipment operation data, concentration adjustment requirements, and environmental parameters. Combined with the energy consumption characteristics of the equipment, it optimizes the operating power and start / stop timing of the metering pump in the reagent delivery module, the stirring speed and running time of the mixing module, the detection frequency of the safety monitoring module, and the operating mode of the ventilation equipment. Under the premise of meeting the requirements of concentration adjustment accuracy, response speed, and safety, it achieves the minimization of the overall system energy consumption, establishes an energy consumption statistical model, generates energy consumption reports on a daily, weekly, monthly, and yearly basis, analyzes the energy consumption composition, changing trends, and optimization space, and sets energy consumption anomaly warning thresholds.

[0014] Furthermore, it also includes a multi-scenario adaptation module, which presets concentration control parameters, safety thresholds, equipment operating modes, and adjustment response speeds for various typical chemical application scenarios. Each scenario template is optimized and configured according to its process characteristics. Users can directly select the corresponding scenario through the human-machine interaction module or the remote monitoring module. The system automatically matches the corresponding concentration detection frequency, adjusts the algorithm parameters, stirring strategies, safety monitoring thresholds, and emergency handling plans. Users can customize and adjust parameters based on the scenario template and save them as personalized templates. The system has a scenario parameter self-learning function.

[0015] Furthermore, it also includes a concentration gradient adjustment module, which supports users to set multi-stage concentration gradient targets. This module receives the target concentration values, maintenance time, adjustment rate, and allowable deviation parameters set by the user for each stage, and generates a staged concentration adjustment plan. The intelligent control module adjusts the amount of reagent added, the dilution ratio of clean water, and the stirring strategy in stages according to the plan. It adopts a gradient smooth transition algorithm. After each stage of concentration target is completed, the system continuously monitors the concentration stability. When the concentration deviation remains within the allowable range within the set maintenance time, it automatically enters the next stage of adjustment. When the concentration fluctuation exceeds the range, it automatically pauses and adjusts the parameters. It continues after the concentration stabilizes and has a recovery mechanism after abnormal interruption.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: The intelligent automatic concentration adjustment and safety control system for ammonia water of this invention achieves multiple breakthroughs in terms of precise concentration adjustment, comprehensive safety protection, and intelligent operation and maintenance management, demonstrating significant core advantages. Regarding concentration adjustment accuracy, the system integrates temperature compensation and deviation correction mechanisms, effectively eliminating the impact of temperature changes on concentration detection. Combined with a closed-loop controlled reagent delivery module and a dynamically adjusted stirring strategy, it ensures that the ammonia water concentration remains stable within the preset range. The stepped acceleration and gradual deceleration stirring mode balances mixing efficiency and uniformity, avoiding localized concentration unevenness and solution splashing, meeting the needs of high-precision applications.

[0017] Safety protection capabilities have been significantly enhanced. The system constructs a multi-dimensional safety monitoring system, comprehensively covering key parameters such as ammonia concentration, equipment pressure, liquid level, and explosion-proof status. Combined with a multi-factor comprehensive risk assessment model, risk levels are accurately defined. A tiered emergency response mechanism activates corresponding protective measures for different risk levels. In high-risk situations, the fire protection system and emergency sprinkler devices are activated to block the risk spread path and ensure the safety of personnel and equipment. Data recording and report generation throughout the emergency response process provide complete evidence for fault diagnosis and improve the traceability of system safety management.

[0018] Remote management and maintenance efficiency are significantly optimized. The remote monitoring module supports real-time viewing and operation on multiple terminals, a triple verification mechanism ensures the security of remote operations, and multi-user hierarchical management meets the needs of different roles. The equipment self-diagnosis module performs comprehensive testing of core components on a periodic basis, establishes component health records, predicts remaining service life, provides early warning of potential faults, and reduces unplanned downtime and maintenance costs. The energy consumption optimization module dynamically adjusts operating parameters based on equipment energy consumption characteristics and adjustment requirements to minimize system energy consumption, providing technical support for enterprises to save energy and reduce consumption.

[0019] With strong adaptability to multiple scenarios, it features pre-set parameter templates for various typical scenarios, optimized configurations for different process characteristics, and supports personalized template saving and self-learning functions to continuously improve scenario adaptation accuracy. The concentration gradient adjustment module achieves smooth multi-stage concentration transitions, avoiding the impact of sudden concentration changes on the process, making it suitable for complex reaction processes and material handling scenarios. The overall system is easy to operate, with an intuitive and clear human-machine interface, and tiered audible and visual alarms to promptly warn of risks. It comprehensively meets the core needs of multiple scenarios such as chemical production, laboratory research and development, and environmental protection, driving the development of ammonia concentration control technology towards safety, precision, efficiency, and intelligence. Attached Figure Description

[0020] Figure 1 is a schematic block diagram of an intelligent automatic ammonia concentration adjustment and safety control system proposed in this invention; Figure 2 is a bar chart comparing the ammonia concentration adjustment accuracy under different application scenarios; Figure 3 is a line chart comparing the safety warning response time with the risk level; Figure 4 is a bar chart comparing the maintenance cycles of different core components. Detailed Implementation

[0021] 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 embodiments of the present invention, and not all embodiments. 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.

[0022] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0023] Furthermore, 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 indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified. Furthermore, the terms "installed," "connected," and "linked" should be interpreted broadly; for example, they may refer to a fixed connection, a detachable connection, or an integral connection; they may refer to a mechanical connection or an electrical connection; they may refer to a direct connection or an indirect connection through an intermediate medium; and they may refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The invention will now be described in further detail with reference to the accompanying drawings.

[0024] Referring to Figures 1 to 4: An automatic intelligent concentration adjustment and safety control system for ammonia water includes the following modules: a concentration detection module, which uses a high-precision concentration sensor and a temperature compensation unit to collect ammonia water concentration and temperature data in the ammonia water storage tank and reaction vessel in real time. The detection frequency is set to once per second. Electromagnetic interference and environmental interference are eliminated through signal amplification and filtering, and stable and accurate detection data is output. The digital detection data is simultaneously transmitted to the intelligent control module. The intelligent control module is equipped with an embedded processor and an adaptive adjustment algorithm. It receives the data transmitted by the concentration detection module, compares and analyzes it with the preset concentration threshold in real time, accurately calculates the concentration deviation value, and combines the solution volume, reaction process, reagent addition amount, and dilution water volume for precise control. The system receives commands from the intelligent control module and dynamically adjusts the control strategy based on real-time data from the safety monitoring module, achieving coordinated execution of concentration regulation and safety protection. The reagent delivery module, including an ammonia storage tank, a clean water storage tank, a variable frequency metering pump, a high-precision flow sensor, and an explosion-proof solenoid valve, receives commands from the intelligent control module to precisely control the start / stop, operating power, and operating time of the metering pump, adjusting the delivery flow rate and ratio of ammonia and clean water. The flow sensor provides real-time feedback on the actual delivery volume, forming a closed-loop control circuit to keep the deviation between the added amount and the command value within a preset allowable range. The mixing module, composed of a variable frequency stirring motor, a spiral stirring paddle, and a speed feedback unit, receives start / stop and speed adjustment commands from the intelligent control module, adjusting the solution volume and container specifications based on the concentration deviation. The stirring speed is dynamically adjusted. When the concentration deviation is large, a stepped speed-up mode is used to increase the speed and accelerate the mixing efficiency. When the deviation is small, a low-speed uniform stirring is maintained to ensure mixing uniformity and avoid localized uneven concentration and solution splashing. The safety monitoring module integrates a high-precision ammonia leak sensor, pressure sensor, liquid level sensor, explosion-proof detection unit, and ambient temperature and humidity sensor. It monitors the ammonia concentration, internal pressure, liquid level, explosion-proof status, and ambient temperature and humidity in the ammonia storage and usage environment in real time. Multiple safety thresholds are set, and when the monitored data exceeds the threshold, an early warning signal is immediately sent to the intelligent control module and the abnormal data is recorded. The data storage and communication module adopts a dual storage architecture of local industrial-grade storage unit and cloud server to store concentration detection data in real time. The system supports querying and exporting data, control commands, safety monitoring data, equipment operating status, and fault records by time, equipment, and parameter type. It enables bidirectional data interaction with the intelligent control module, human-machine interface module, and remote monitoring platform via industrial Ethernet and wireless IoT communication protocols. The human-machine interface module is equipped with an industrial-grade touchscreen display and waterproof / dustproof physical operation buttons. It displays ammonia concentration, temperature, pressure, liquid level, equipment operating status, safety warning information, and energy consumption data in real time. Users can manually set concentration thresholds, adjust control parameters, start and stop equipment, view historical data, and export reports. It also features tiered audible and visual alarm functions, issuing different intensities of audible and visual alerts based on risk level after receiving warning signals, promptly alerting on-site personnel.

[0025] This invention also includes a concentration deviation correction module. This module receives the real-time concentration and temperature values ​​from the concentration detection module, and, considering the characteristics of ammonia concentration changing with temperature, uses a formula to correct the deviation. Calculate the concentration deviation correction amount after temperature compensation, where This is the concentration correction amount. The coefficient representing the effect of ammonia water temperature. For the actual measured temperature, For standard reference temperature, The initial concentration is determined by correcting the concentration comparison results of the intelligent control module based on the calibration amount, making the concentration adjustment command more accurate and eliminating the influence of temperature changes on concentration detection and adjustment.

[0026] This invention also includes a safety risk assessment module, which integrates ammonia concentration, pressure, and liquid level data from the safety monitoring module, combined with environmental ventilation conditions and equipment operating time, and uses a formula to assess the risk. Calculate the security risk level, where The safety risk level is set to a value from 0 to 10. The weighting is determined by the influence of ammonia concentration. This is the ratio of the actual ammonia concentration to the safety threshold. Pressure affects weight. This is the ratio of actual pressure to the safety threshold. The weighting is determined by the influence of liquid level. This is the ratio of the actual liquid level to the safety threshold. For ventilation compensation weight, The ventilation efficiency coefficient triggers corresponding safety measures based on the risk level. During low risk, continuous monitoring is maintained; during medium risk, ventilation and early warning are activated; and during high risk, equipment operation is immediately shut down and emergency response is initiated.

[0027] This invention also includes a stirring optimization module. This module receives concentration deviation data, solution volume information, and container specification parameters from the intelligent control module. Combined with the real-time rotation speed and operating current feedback from the stirring and mixing module, it dynamically optimizes the stirring strategy. In the initial stage of concentration adjustment, a stepped speed-up mode is adopted, gradually increasing the speed to the set peak value in three levels to reduce solution splashing and mechanical impact on the equipment. When the concentration approaches the preset threshold, a gradual speed-down mode is adopted to maintain low-speed stirring until the concentration stabilizes. The operating current, temperature, and vibration parameters of the stirring motor are monitored in real time. When the parameters exceed the safe range, the speed is automatically reduced or the machine is stopped to prevent motor overload and extend the service life of the equipment.

[0028] This invention also includes an emergency response module, which is linked with the safety monitoring module, intelligent control module, and remote monitoring platform. It has a built-in tiered emergency response mechanism. Upon receiving different levels of risk warning signals, it initiates corresponding emergency procedures. At low risk, only audible and visual warnings and data recording are triggered. At medium risk, the solenoid valves and metering pumps of the agent delivery module are shut off, the delivery channels for ammonia and clean water are cut off, and explosion-proof ventilation equipment is activated to accelerate ammonia diffusion. At high risk, in addition to the measures for medium risk, an emergency sprinkler system is activated to reduce the ambient ammonia concentration, an alarm is sent in conjunction with the fire alarm system, and the valves of ventilation ducts in relevant areas are closed to block the ammonia diffusion path. Emergency alarms and real-time data are sent to the remote monitoring platform and on-site emergency terminals through the data storage and communication module. The module records the time nodes, operation instructions, and changes in environmental parameters throughout the entire emergency response process, generating an emergency response report to provide complete data support for subsequent fault investigation process optimization.

[0029] This invention also includes a remote monitoring module, which is equipped with an edge computing node and an encrypted communication unit. It establishes a stable connection with the data storage and communication module through 5G industrial Ethernet, wireless IoT multi-link redundant communication protocol, and supports users to view the system's operating status, concentration data, safety monitoring information, energy consumption reports, and equipment fault records in real time on remote terminals such as computers, mobile phones, and industrial tablets. It can receive graded early warnings and emergency alarms and push SMS reminders simultaneously. It has the authority to remotely set concentration thresholds, adjust control parameters, start and stop equipment, and remotely calibrate sensors. Remote operation commands must undergo triple verification of identity verification, permission review, and command encryption before execution to ensure operational security. It supports multi-user hierarchical management, dividing users into three permission levels: administrator, operator, and viewer. Different user levels correspond to different operation scopes and data access permissions. Operation logs are recorded in real time and cannot be tampered with, ensuring the traceability of system operations.

[0030] This invention also includes a self-diagnostic module, which has a three-level self-inspection cycle of daily, weekly, and monthly. This module performs comprehensive performance testing on the core components of the concentration detection module, reagent delivery module, mixing module, safety monitoring module, and data communication module. This includes sensor accuracy calibration, metering pump flow verification, stirring motor operating status testing, valve switch flexibility testing, and communication link stability testing. During the testing process, standard calibration solutions and flow standard devices are used for comparison and verification. The test results are compared with preset performance thresholds. When component abnormalities, performance degradation, or communication failures are detected, maintenance reminders are sent through both the human-machine interaction module and the remote monitoring platform. The reminders clearly indicate the location of the abnormal component, the type of failure, and suggested maintenance measures. Information on the abnormal component, test data, and historical operating data are recorded to establish a component health record. Trend analysis is used to predict the remaining service life of the component, enabling maintenance personnel to quickly locate the fault point and formulate a maintenance plan, thereby reducing unplanned equipment downtime.

[0031] This invention also includes an energy consumption optimization module. This module incorporates an energy consumption model and dynamic optimization algorithm, analyzing the control commands of the intelligent control module, equipment operation data, concentration adjustment requirements, and environmental parameters. Combined with the energy consumption characteristics of equipment such as metering pumps, stirring motors, and fans, it optimizes the operating power and start / stop timing of the metering pump in the reagent delivery module, the stirring speed and operating time of the mixing module, the detection frequency of the safety monitoring module, and the operating mode of the ventilation equipment. While meeting the requirements for concentration adjustment accuracy, response speed, and safety, it minimizes the overall system energy consumption. An energy consumption statistical model is established, generating energy consumption reports daily, weekly, monthly, and yearly. The system analyzes energy consumption composition, trends, and optimization potential, sets energy consumption anomaly warning thresholds, and automatically investigates the causes and pushes optimization suggestions when energy consumption exceeds the threshold. It supports user-defined energy consumption targets, and the system automatically adjusts operating parameters according to the targets, providing technical support for enterprises to save energy and reduce consumption.

[0032] This invention also includes a multi-scenario adaptation module, which presets concentration control parameters, safety thresholds, equipment operating modes, and adjustment response speeds for various typical application scenarios such as continuous operation in chemical production, precision laboratory research and development, environmental wastewater treatment, and electronic industrial cleaning. Each scenario template is optimized for its specific process characteristics. The chemical production scenario enhances the stability and anti-interference capability of continuous operation, the laboratory scenario improves the concentration adjustment accuracy and data precision, and the environmental treatment scenario optimizes the balance between energy consumption and treatment efficiency. Users can directly select the corresponding scenario through the human-computer interaction module or the remote monitoring module. The system automatically matches the corresponding concentration detection frequency, adjustment algorithm parameters, stirring strategy, safety monitoring threshold, and emergency response plan. Users can customize and adjust parameters based on the scenario template and save them as personalized templates. The system has a scenario parameter self-learning function, dynamically adjusting template parameters according to user habits and process optimization needs to continuously improve the accuracy of scenario adaptation.

[0033] This invention also includes a concentration gradient adjustment module that supports users in setting multi-stage concentration gradient targets. This module receives the target concentration values, maintenance time, adjustment rate, and allowable deviation parameters set by the user for each stage, and generates a refined staged concentration adjustment plan. The intelligent control module adjusts the amount of reagent added, the dilution ratio of clean water, and the stirring strategy in stages according to the plan. A gradient smooth transition algorithm is used to avoid the impact of concentration abrupt changes on the process. After each stage of concentration target is achieved, the system continuously monitors the concentration stability. When the concentration deviation remains within the allowable range within the set maintenance time, it automatically enters the next stage of adjustment. When the concentration fluctuation exceeds the range, it automatically pauses and adjusts the parameters, and resumes after the concentration stabilizes. It has a recovery mechanism after abnormal interruption. After an interruption, the adjustment can be restarted from the current stage or the previous stable stage. It is suitable for reaction process materials treatment and other scenarios that require gradual adjustment of ammonia concentration, achieving a smooth, accurate, and shock-free adjustment process.

[0034] The following two examples further illustrate the specific implementation of this system: Example 1: Application of Ammonia Concentration Adjustment and Safety Control in Continuous Operation Scenario of Chemical Production This example is applied to the ammonia desulfurization process in a chemical enterprise, which requires maintaining the ammonia concentration at a stable level of 25% ± 0.5%. The system needs to operate continuously for 72 hours without interruption, while also coping with the high humidity and strong electromagnetic interference of the industrial environment to ensure production safety and process stability. The specific operation is as follows: I. Core Process and Key Steps Execution System initialization and parameter setting: Through the industrial-grade touch screen of the human-machine interaction module, the operator selects the continuous operation scenario of chemical production from the multi-scenario adaptation module. The system automatically matches the parameter configuration with a concentration detection frequency of 1 time per second, fast adjustment response speed, and strict safety thresholds. The target concentration is manually set to 25%, the allowable concentration deviation is ± 0.5%, the ammonia concentration safety threshold of the safety monitoring module is 10 ppm, the equipment pressure safety threshold is 0.6 MPa, and the liquid level safety threshold is 80%. The remote monitoring module assigns corresponding permissions to the administrator, operator, and viewer.

[0035] Concentration Detection and Deviation Correction: The electrode-type concentration sensor and temperature compensation unit of the concentration detection module are installed at the bottom of the reactor and in the middle of the ammonia storage tank to collect concentration and temperature data in real time. The initial concentration detected in the reactor was 24.85%, and the temperature was 28℃, within the standard reference temperature range. =25℃, temperature influence coefficient of ammonia water =0.002, through the formula Calculate the concentration correction amount. =0.002×(28-25)×24.85=0.1491%, after correction the actual concentration 24.85%+0.1491%≈24.9991%, which is close to the target concentration. The data is transmitted to the intelligent control module after signal amplification and filtering.

[0036] Intelligent control and reagent delivery: The embedded processor of the intelligent control module receives the corrected data, calculates a concentration deviation of 0.0009%, and combines this with the solution volume of 5m³ in the reaction vessel. 3 The real-time progress of the desulfurization reaction, generating clean water with a delivery rate of 0.05 m³ / h. 3 The control command is received by the variable frequency metering pump of the drug delivery module. It starts operating at 30% power, a high-precision flow sensor provides real-time feedback on the delivery volume, and an explosion-proof solenoid valve precisely controls the water flow channel, forming a closed-loop control system to ensure that the amount of clean water added matches the commanded value, with a deviation controlled within ±0.005m. 3 Inside.

[0037] Stirring optimization and uniform mixing: The variable frequency stirring motor and spiral stirring paddle of the stirring and mixing module are started. The stirring optimization module optimizes the mixing based on a concentration deviation of 0.0009% and a solution volume of 5m³. 3The reactor has a diameter of 2.5m and adopts a low-speed uniform stirring mode with a set rotation speed of 60r / min. During operation, the motor operating current is monitored in real time (15A), the temperature is 45℃, and the vibration value is 2.0mm / s, all of which are within the safe range. Maintaining the stirring state ensures uniform mixing and eliminates localized uneven concentration.

[0038] Safety Monitoring and Risk Assessment: The ammonia leak sensor in the safety monitoring module is installed at three key locations around the reactor, the pressure sensor is installed on the top of the reactor, and the level sensor is installed on the side wall of the ammonia storage tank. Real-time monitoring data includes an ammonia concentration of 8 ppm, equipment pressure of 0.4 MPa, level of 65%, and ambient temperature / humidity of 25℃ / 60%. The safety risk assessment module uses a formula... Calculate the risk level, where =3, =8 / 10=0.8, =2, =0.4 / 0.6≈0.67, =2, =65 / 80=0.8125, =1, =0.8 is the value of the ventilation efficiency coefficient. Substituting it into the equation, we get... =3×0.8+2×0.67+2×0.8125-1×0.8=2.4+1.34+1.625-0.8=4.565, which is considered medium risk. The explosion-proof ventilation equipment is activated to accelerate the diffusion of ammonia gas, and the human-machine interaction module issues a medium-intensity audible and visual warning.

[0039] Remote monitoring and data storage: The remote monitoring module communicates via 5G and industrial Ethernet with multi-link redundancy, allowing administrators to view real-time operational information such as concentration (24.9991%), pressure (0.4 MPa), and energy consumption (1.2 kWh / h) on a computer terminal, and receive SMS alerts for medium-risk warnings. The data storage and communication module stores detection data, control commands, and safety monitoring data in real-time to local industrial-grade storage units and cloud servers, supporting querying historical data for up to 72 hours by time dimension.

[0040] Equipment self-diagnosis and energy consumption optimization: The equipment self-diagnosis module performs daily self-checks, comparing the concentration sensor with the standard calibration solution, verifying the metering pump flow rate error to ±0.5%, confirming the stirring motor's normal operation, and maintaining a stable communication link. The energy consumption optimization module analyzes equipment operating data, adjusting the metering pump's operating power to 28%, maintaining the stirring speed at 60 r / min, and keeping the safety monitoring frequency at once per second. Energy consumption is reduced while meeting process requirements, with the daily energy consumption report showing an 8% reduction compared to the initial operating state.

[0041] Emergency Response and Gradient Adjustment: During operation, if the ammonia concentration suddenly spikes to 12 ppm, the safety monitoring module immediately sends a high-risk warning. The emergency response module activates the high-risk emergency procedure, shutting down the solenoid valves and metering pumps of the reagent delivery module, cutting off the ammonia and clean water delivery channels, activating explosion-proof ventilation equipment and emergency sprinkler systems, triggering the fire alarm system, and closing ventilation duct valves in relevant areas. Simultaneously, the emergency response timeline, operational instructions, and changes in environmental parameters are recorded, generating an emergency response report. If the concentration needs to be adjusted to 26% subsequently, the concentration gradient adjustment module receives parameters of a target concentration of 26%, a maintenance time of 2 hours, and an adjustment rate of 0.5% / h. Adjustment is performed in two stages, increasing the concentration by 0.5% in each stage, maintaining stability between stages to avoid sudden concentration changes.

[0042] II. Data Characterization and Interpretation Table 1 Comparison of System Operation Performance in Chemical Production Scenarios

[0043] Table 1 clearly demonstrates the advantages of this invention in chemical production scenarios. Traditional control systems lack temperature compensation and closed-loop control, with concentration adjustment accuracy of only ±1.5%, failing to meet desulfurization process requirements. Single-dimensional safety monitoring results in a 75% early warning accuracy rate, and a 30-second delay in emergency response can easily escalate risks. Frequent equipment failures lead to a 10% unplanned downtime rate. This invention, through concentration deviation correction and precise control, improves adjustment accuracy to ±0.3%. Multi-dimensional safety monitoring and risk assessment achieve a 98% early warning accuracy rate. A 5-second emergency response quickly blocks risks. Equipment self-diagnosis and optimized design enable 72 hours of uninterrupted operation. An 8% reduction in energy consumption saves production costs for enterprises, fully meeting the stringent requirements of continuous chemical production.

[0044] Example 2: Application of Ammonia Concentration Adjustment and Safety Control in a Precision Laboratory R&D Scenario. This example is applied to the development of ammonia catalytic reactions in a materials laboratory. Precise control of the ammonia concentration gradient is required, ranging from 10% to 15% to 20%, with each stage lasting 3 hours. The concentration control deviation is required to be ±0.1%. The experimental environment must ensure personnel safety and data traceability. The specific operation is as follows: I. Core Process and Key Steps: System Initialization and Scenario Adaptation: The operator selects the "Precision Laboratory R&D Scenario" from the multi-scenario adaptation module through the human-computer interaction module. The system automatically matches parameter configurations with a concentration detection frequency of once per second, high adjustment accuracy, and sensitive safety thresholds. The concentration gradient target is manually set: the first stage is 10% maintained for 3 hours, the second stage is 15% maintained for 3 hours, and the third stage is 20% maintained for 3 hours, with an allowable deviation of ±0.1%. The safe threshold for ammonia concentration is 5 ppm, the safe threshold for pressure is 0.3 MPa, and the safe threshold for liquid level is 60%.

[0045] Concentration Detection and Deviation Correction: The high-precision concentration sensor and temperature compensation unit of the concentration detection module are installed inside the experimental reaction flask to collect data in real time. The initial detection concentration in the first stage was 9.92%, at a temperature of 23℃, which is the standard reference temperature. =25℃, temperature influence coefficient of ammonia water =0.002, through the formula Calculate the correction amount. =0.002×(23-25)×9.92=-0.03968%, the corrected actual concentration is 9.92%-0.03968%≈9.8803%, and the data is transmitted to the intelligent control module after filtering.

[0046] Intelligent Control and Reagent Delivery: The intelligent control module calculates the concentration deviation as 10% - 9.8803% = 0.1197%, and, combined with the solution volume in the reaction flask (0.5L), generates a control command for adding 0.007L of ammonia. The variable frequency metering pump of the reagent delivery module starts, operating at 15% power. The high-precision flow sensor reports an actual delivery volume of 0.00695L, with a deviation of ±0.00005L, within the allowable range. The explosion-proof solenoid valve precisely controls the ammonia delivery channel, ensuring accurate addition.

[0047] Stirring optimization and homogenization: Upon activation of the stirring and mixing module, the stirring optimization module employs a stepped speed-up mode based on a concentration deviation of 0.1197%, a solution volume of 0.5L, and a reaction flask diameter of 0.15m. The speed increases in three increments from 30 r / min to 60 r / min to prevent splashing. When the concentration approaches 10%, the speed is gradually reduced to 40 r / min to maintain stirring. Real-time monitoring includes the motor operating current (2A), temperature (38℃), and vibration value (1.2 mm / s). After homogenization, the concentration stabilizes at 9.995%.

[0048] Safety Monitoring and Risk Assessment: The ammonia leak sensor in the safety monitoring module is installed inside the laboratory fume hood, the pressure sensor is installed on top of the reaction flask, and the liquid level sensor is installed in a small ammonia storage tank. Real-time monitoring data includes an ammonia concentration of 2 ppm, pressure of 0.15 MPa, liquid level of 45%, and ambient temperature / humidity of 22℃ / 55%. The safety risk assessment module uses a formula... Calculate the risk level. =3, =2 / 5=0.4, =2, =0.15 / 0.3=0.5, =2, =45 / 60=0.75, =1, =0.9 is the value of the ventilation efficiency coefficient. Substituting it into the equation, we get... =3×0.4+2×0.5+2×0.75-1×0.9=1.2+1+1.5-0.9=2.8, which is low risk and only triggers audible and visual warnings and data recording.

[0049] Concentration gradient adjustment and data traceability: In the first stage, the concentration was maintained for 3 hours, stabilizing between 9.995% and 10.003%, meeting the deviation requirements. Subsequently, the concentration gradient adjustment module automatically entered the second stage, generating a control command for adding 0.028L of ammonia. The reagent delivery module precisely delivered the ammonia, and the stirring module adjusted the speed to 50 rpm, resulting in a stable concentration of 14.998% after mixing. The third stage adjusted to 19.997% using the same logic. A gradient smooth transition algorithm was employed throughout, preventing any abrupt concentration changes. The data storage and communication module recorded concentration data, adjustment commands, and equipment operating status for each stage, supporting the export of complete experimental data reports.

[0050] Remote monitoring and equipment self-diagnosis: Operators can remotely view concentration, pressure, and level data at each stage via a mobile app, receive low-risk warning alerts, and have the authority to remotely adjust maintenance time. Operation commands are executed only after triple verification: identity verification, permission review, and command encryption. The equipment self-diagnosis module performs weekly self-checks, comparing the concentration sensor with a standard calibration solution, verifying the metering pump flow rate error to ±0.1%, confirming normal communication link stability, establishing component health records, and predicting the sensor's remaining lifespan of 6 months.

[0051] Energy consumption optimization and emergency response: The energy consumption optimization module analyzed the experimental requirements and optimized the stirring motor's operating time to run at low speed for 10 minutes after each mixing stage was completed before shutting down. The metering pump was started and stopped as needed. The total energy consumption for the experiment was 0.3 kWh, a 12% reduction compared to the traditional operating mode. During the experiment, the ammonia concentration rose to 6 ppm due to the temporary closure of the fume hood, triggering a medium-risk warning. The emergency response module shut down the metering pump and solenoid valve, activated the fume hood's exhaust function, and the ammonia concentration dropped to 3 ppm after 3 minutes. The experiment was then resumed, and all data from the emergency response process were recorded.

[0052] II. Data Representation and Interpretation Table 2: Comparison of System Performance in Laboratory R&D Scenarios

[0053] Table 2 highlights the advantages of this invention in laboratory R&D scenarios. Traditional control systems have concentration control deviations of ±0.5% and gradient adjustment fluctuations of ±0.8%, failing to meet the high precision requirements of catalytic reactions. Incomplete data recording affects experimental review, the equipment maintenance cycle is only one month, increasing maintenance costs, and the experimental success rate is only 70%. This invention, through precise detection and deviation correction, reduces concentration control deviations to ±0.08% and gradient adjustment fluctuations to ±0.05%, ensuring stable reaction conditions. Complete data recording throughout the process supports experimental traceability, the equipment maintenance cycle is extended to 6 months, energy consumption is reduced by 12%, saving experimental costs, and the 95% experimental success rate significantly improves R&D efficiency, perfectly meeting the core needs of precise laboratory R&D.

[0054] Referring to Figure 2: This figure visually demonstrates the core advantage of this invention in concentration adjustment accuracy across various scenarios. Traditional control systems lack temperature compensation and deviation correction mechanisms, relying solely on single sensor detection and fixed proportional control. While the accuracy is slightly higher in laboratory scenarios, it still cannot meet research and development needs. In industrial scenarios such as chemical production, the accuracy further decreases due to environmental interference. This invention achieves precise data correction through the temperature compensation unit and deviation correction formula of the concentration detection module. The intelligent control module, combined with scenario-adaptive parameters and dynamic adjustment algorithms, closed-loop control of reagent delivery, and dynamic speed design for optimized stirring, significantly improves accuracy across all scenarios. The accuracy reaches ±0.08% in laboratory scenarios and remains stable at ±0.3% in chemical production scenarios, fully adapting to the accuracy requirements of different scenarios and solving the pain points of poor scenario adaptability and insufficient accuracy in traditional systems.

[0055] Referring to Figure 3: This figure clearly demonstrates the high efficiency of the safety early warning response of this invention. Traditional control systems rely solely on a single threshold for safety monitoring, lacking tiered response logic. As the risk level increases, the response time linearly increases, requiring up to 30 seconds to trigger an early warning at high risks, easily leading to missed opportunities for risk mitigation. This invention's safety monitoring module integrates multi-dimensional sensors, the safety risk assessment module quantifies risk levels using formulas, and the emergency response module incorporates a tiered response mechanism. Risk signal transmission utilizes dual links of industrial Ethernet and wireless IoT. Response times are controlled within 5 seconds for each risk level, and emergency procedures can be initiated within 5 seconds at high risks, significantly shortening the risk mitigation window and effectively reducing the probability of safety accidents such as ammonia leaks and pressure exceedances.

[0056] Referring to Figure 4: This figure highlights the significant extension of maintenance cycles achieved by the self-diagnostic module of this invention. Traditional control systems lack component health monitoring and performance early warning; core components can only be manually maintained at fixed intervals; sensor components are prone to aging due to prolonged contact with ammonia and require calibration every month; metering pumps and solenoid valves also require frequent maintenance. The self-diagnostic module of this invention performs tiered self-checks daily, weekly, and monthly; it verifies component performance by comparing it with standard calibration solutions and flow devices; it establishes component health records and predicts remaining service life; concentration sensors have their maintenance extended to 6 months through regular accuracy calibration; and stirring motors, due to real-time monitoring of operating status and load optimization, have a maintenance cycle of up to 18 months. This significantly reduces unplanned downtime and lowers equipment maintenance costs and manpower investment.

[0057] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent automatic concentration adjustment and safety control system for ammonia water, characterized in that, The system includes the following modules: a concentration detection module, employing a high-precision concentration sensor and temperature compensation unit to collect real-time concentration and temperature data from the ammonia storage tank and reaction vessel; signal amplification and filtering to eliminate interference; outputting stable data and synchronously transmitting it to the intelligent control module; an intelligent control module, equipped with a processor and adaptive adjustment algorithm, receiving detection data and comparing it with preset concentration thresholds in real time; combining solution volume and reaction progress to generate control commands for reagent addition and dilution water volume, dynamically adjusting strategies in conjunction with data from the safety monitoring module; and a reagent delivery module, including an ammonia storage tank, a clean water storage tank, a variable frequency metering pump, and a high-precision flow sensor. The system includes an explosion-proof solenoid valve, which receives control commands to control the start / stop, operating power, and duration of the metering pump, and adjusts the flow rate and ratio of ammonia and clean water; a mixing module, consisting of a variable frequency stirring motor, a spiral stirring paddle, and a speed feedback unit, which receives start / stop and speed adjustment commands from the intelligent control module and dynamically adjusts the speed based on concentration deviation, solution volume, and container specifications; and a safety monitoring module, which integrates an ammonia leak sensor, pressure sensor, liquid level sensor, explosion-proof detection unit, and ambient temperature and humidity sensor, to monitor relevant parameters of the ammonia storage and usage environment in real time, and immediately sends an early warning signal to the intelligent control module and records the abnormality when the data exceeds the threshold. The data storage and communication module adopts a dual storage architecture of local industrial-grade storage units and cloud servers to store various detection data, control commands, equipment operating status and fault records in real time, and supports multi-dimensional data query and export; the human-machine interaction module is equipped with an industrial-grade touch screen and waterproof and dustproof physical operation buttons to display various parameters, equipment status, early warning information and energy consumption data in real time.

2. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a concentration deviation correction module, which receives real-time concentration and temperature values ​​from the concentration detection module, and, based on the characteristics of ammonia concentration changing with temperature, uses a formula to... Calculate the concentration deviation correction amount after temperature compensation, where This is the concentration correction amount. The coefficient representing the effect of ammonia water temperature. For the actual measured temperature, For standard reference temperature, This is the initial detection concentration.

3. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a safety risk assessment module, which integrates ammonia concentration, pressure, and liquid level data from the safety monitoring module, and uses formulas to... Calculate the security risk level, where Based on safety risk level, The weighting is determined by the influence of ammonia concentration. This is the ratio of the actual ammonia concentration to the safety threshold. Pressure affects weight. This is the ratio of actual pressure to the safety threshold. The weighting is determined by the influence of liquid level. This is the ratio of the actual liquid level to the safety threshold. For ventilation compensation weight, This is the ventilation efficiency coefficient, which triggers corresponding safety measures based on the risk level.

4. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a stirring optimization module, which receives concentration deviation data, solution volume information, and container specification parameters from the intelligent control module. Combined with the real-time speed and operating current feedback of the stirring and mixing module, it dynamically optimizes the stirring strategy. In the initial stage of concentration adjustment, a step-by-step speed-up mode is adopted, and when the concentration approaches the preset threshold, a gradual speed-down mode is adopted. The operating current, temperature, and vibration parameters of the stirring motor are monitored in real time.

5. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes an emergency response module, which is linked with the safety monitoring module, intelligent control module, and remote monitoring platform. It has a built-in hierarchical emergency response mechanism. Upon receiving different levels of risk warning signals, it will activate the corresponding emergency procedures. In low-risk situations, only audible and visual warnings and data recording will be triggered. In medium-risk situations, the solenoid valves and metering pumps of the agent delivery module will be shut down, the delivery channels of ammonia and clean water will be cut off, and the explosion-proof ventilation equipment will be activated to accelerate the diffusion of ammonia. In high-risk situations, in addition to the measures for medium-risk situations, the emergency sprinkler system will be activated to reduce the concentration of ammonia in the environment, the fire alarm system will be linked to send an alarm, the valves of the ventilation ducts in the relevant areas will be closed to block the diffusion path of ammonia, and emergency alarms and real-time data will be sent to the remote monitoring platform and the on-site emergency terminal through the data storage and communication module.

6. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a remote monitoring module, which is equipped with an edge computing node and an encrypted communication unit. It establishes a stable connection with the data storage and communication module through 5G industrial Ethernet, wireless IoT multi-link redundant communication protocol, and supports users to view in real time on remote terminals, receive graded early warnings and emergency alarms and push SMS reminders simultaneously. It has the authority to remotely set concentration thresholds, adjust control parameters, start and stop equipment, and remotely calibrate sensors. Remote operation commands must be triggered and executed after triple verification of identity verification, permission review and command encryption. It supports multi-user hierarchical management, with different levels of users corresponding to different operating ranges and data access permissions.

7. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a device self-diagnostic module, which is set to a three-level self-inspection cycle of daily, weekly, and monthly. This module performs comprehensive performance testing on the core components of the concentration detection module, reagent delivery module, mixing module, safety monitoring module, and data communication module. During the testing process, standard calibration solutions and flow standard devices are used for comparison and verification. The test results are compared with preset performance thresholds. When abnormalities, performance degradation, or communication failures are found in components, maintenance reminders are sent through both the human-machine interaction module and the remote monitoring platform. Abnormal component information, test data, and historical operating data are recorded to establish component health records. The remaining service life of components is predicted through trend analysis.

8. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes an energy consumption optimization module, which has a built-in energy consumption model and dynamic optimization algorithm. It analyzes the control commands of the intelligent control module, equipment operation data, concentration adjustment requirements, and environmental parameters. Combined with the energy consumption characteristics of the equipment, it optimizes the operating power and start-stop timing of the metering pump in the reagent delivery module, the stirring speed and running time of the mixing module, the detection frequency of the safety monitoring module, and the operating mode of the ventilation equipment. Under the premise of meeting the requirements of concentration adjustment accuracy, response speed, and safety, it achieves the minimization of the overall system energy consumption, establishes an energy consumption statistical model, generates energy consumption reports on a daily, weekly, monthly, and yearly basis, analyzes the energy consumption composition, changing trends, and optimization space, and sets energy consumption anomaly warning thresholds.

9. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a multi-scenario adaptation module, which presets concentration control parameters, safety thresholds, equipment operation modes, and adjustment response speeds for various typical chemical application scenarios. Each scenario template is optimized for its process characteristics. Users can directly select the corresponding scenario through the human-computer interaction module or the remote monitoring module. The system automatically matches the corresponding concentration detection frequency, adjustment algorithm parameters, stirring strategy, safety monitoring threshold, and emergency handling plan. Users can customize and adjust parameters based on the scenario template and save them as personalized templates. The system has a scenario parameter self-learning function.

10. The intelligent automatic concentration adjustment and safety control system for ammonia water according to claim 1, characterized in that, It also includes a concentration gradient adjustment module, which supports users to set multi-stage concentration gradient targets. This module receives the target concentration values, maintenance time, adjustment rate, and allowable deviation parameters set by the user for each stage, and generates a staged concentration adjustment plan. The intelligent control module adjusts the amount of reagent added, the dilution ratio of clean water, and the stirring strategy in stages according to the plan. It adopts a gradient smooth transition algorithm. After each stage of concentration target is completed, the system continuously monitors the concentration stability. When the concentration deviation remains within the allowable range within the set maintenance time, it automatically enters the next stage of adjustment. When the concentration fluctuation exceeds the range, it automatically pauses and adjusts the parameters. It continues after the concentration stabilizes and has a recovery mechanism after abnormal interruption.

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