Intelligent radioactive waste liquid treatment system

Abstract

The invention belongs to the technical field of nuclear waste liquid treatment, and particularly relates to an intelligent radioactive waste liquid treatment system. The system is composed of the following modules: a nuclear waste liquid automatic collection and storage module, an environmental radiation monitoring module, a ward water monitoring module, a classification and discharge module, a solid waste crushing management module, a capacity early warning module and a log information management module. According to the invention, the real-time environment radiation monitoring module is responsible for analyzing the change of the radiation level and identifying the potential leakage risk. And the ward water monitoring module is matched with the system to prevent overuse of water resources, so that the demand of waste liquid treatment is reduced. The processing efficiency is improved through the automatic matching function of the processing channel, and manual operation errors are effectively reduced. And the solid waste crushing management module optimizes the solid waste treatment efficiency by monitoring the solid waste in real time and automatically adjusting the parameters of the crusher. By accurately monitoring the liquid level of the decay tank and automatically adjusting the flow direction of the waste liquid, the system can prevent the occurrence of overflow accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear waste treatment, and in particular to an intelligent treatment system for radioactive waste liquid. Background Art

[0002] Traditional radioactive liquid waste treatment technology relies on manual monitoring and regular inspections during the radioactive liquid waste treatment process, which consumes human resources and increases the probability of errors and safety hazards in operations. In the process of environmental monitoring and waste liquid treatment, the lack of real-time data analysis leads to untimely response to leaks or other hazardous conditions, increasing the possibility of environmental pollution and personnel health risks. There is a problem of data update lag in waste liquid discharge monitoring, which makes it difficult to reflect the waste liquid treatment status and capacity changes in real time, resulting in the risk of exceeding the treatment capacity and increasing the probability of accidents. The ability to respond to emergencies and ensure environmental safety needs to be strengthened. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an intelligent treatment system for radioactive waste liquid.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme, and the intelligent treatment system for radioactive waste liquid includes: The automatic collection and storage module for nuclear waste liquid is based on the information of the source of waste liquid discharge, classifies and stores the collected waste liquid according to the source type, combines flow sensors to monitor the waste liquid flow in real time, records the remaining capacity of multiple storage tanks, and generates preliminary storage information for the waste liquid; The environmental monitoring module uses radiation detection sensors based on the preliminary storage information of the waste liquid to monitor and record the radiation level in the target area environment in real time, identify leakage risks, and generate radiation level monitoring data; The ward water consumption monitoring module monitors the ward water consumption data in real time based on the radiation level monitoring data, controls the water flow rate according to a preset water consumption threshold, and generates a water flow control record; The classification and discharge module analyzes the composition of the radioactive waste liquid in real time based on the water flow control record, matches the treatment channel according to the waste liquid type, monitors and records the total amount of waste liquid discharged, and generates waste liquid discharge monitoring data; The solid waste crushing management module detects the accumulation degree of solid waste in the decay tank in real time based on the waste liquid discharge monitoring data, adjusts the operating parameters of the decay tank crusher, and generates a decay tank solid treatment record; The capacity warning module monitors the liquid levels of multiple decay tanks in real time based on the solid processing records of the decay tanks, adjusts the flow direction and discharge of waste liquid according to the liquid levels, sets the capacity warning threshold in combination with the capacity of the decay tanks, and generates waste liquid discharge processing parameters; The log information management module collects equipment failures, safety alarms, and waste liquid discharge information in real time based on the waste liquid discharge treatment parameters, adjusts the maintenance time list according to the frequency of failures, and generates radioactive waste liquid treatment records.

[0005] As a further solution of the present invention, the radiation level monitoring data includes regional radiation intensity information, a timestamp data set, and a risk level assessment result; the water flow control record includes ward water consumption, water consumption peak and valley time periods, and flow adjustment parameters; the waste liquid discharge monitoring data includes waste liquid component type information, total discharge data, and abnormal discharge indicators; the decay tank solid treatment record includes solid waste accumulation data, pulverizer operation frequency parameters, and pulverizing effect evaluation results; the waste liquid discharge treatment parameters include liquid level data, adjusted discharge time, and capacity warning threshold parameters; the radioactive waste liquid treatment record includes equipment failure log, safety alarm response record, and maintenance time adjustment results.

[0006] As a further solution of the present invention, the nuclear waste liquid automatic collection and storage module comprises: The waste liquid classification submodule directs various types of waste liquid to storage tanks based on the waste liquid discharge source information and generates waste liquid classification storage results; The waste liquid monitoring submodule uses a flow sensor to monitor and record the waste liquid flow through multiple pipelines in real time based on the waste liquid classification storage results, calculate the waste liquid flow rate and total flow, and adjust the flow control valve to balance the filling rate of multiple storage tanks, and generate a flow control log; Based on the flow control log, the capacity management submodule uses a liquid level sensor to monitor the liquid level data of multiple storage tanks in real time, records the remaining capacity information, and generates preliminary storage information for waste liquid.

[0007] As a further solution of the present invention, the environment monitoring module includes: The radiation data acquisition submodule uses radiation detection sensors to collect and record environmental radiation data in the target area in real time based on the preliminary storage information of the waste liquid, and generates real-time radiation monitoring data in combination with timestamp information; The radiation leakage identification submodule identifies leakage risks based on the real-time radiation monitoring data and sends warning information, including location information and time point information, to generate leakage risk assessment results; The radiation risk assessment submodule calculates the radiation risk level in the target area based on the risk level assessment result and the real-time radiation level data, and generates radiation level monitoring data.

[0008] As a further solution of the present invention, the specific formula for calculating the radiation risk level in the target area is: ; Among them, R represents the comprehensive radiation risk level of the target area, which is a weighted average value calculated by considering the radiation concentration and risk weight of each monitoring point, i represents the monitoring point number in the ward or testing room, represents the radiation concentration value of the i-th monitoring point in the ward or testing room, It represents the risk weight of the ith monitoring point determined according to the density of people and the layout of sensitive equipment in the ward or testing room, so as to improve the accuracy and adaptability of radiation risk calculation in key areas. n represents the total number of monitoring points in the ward or testing room, which is used to average the overall risk assessment results.

[0009] As a further solution of the present invention, the ward water use monitoring module includes: The water consumption monitoring submodule uses a flow sensor to monitor and record the water consumption of multiple wards in real time based on the radiation level monitoring data, and generates a real-time water consumption record; The water consumption data analysis submodule identifies the water consumption patterns of multiple wards based on the real-time water consumption records through time series analysis, analyzes the changing trends of water consumption in multiple time periods, and generates water consumption pattern analysis results; The water valve parameter control submodule adjusts the water flow rates of multiple wards based on the water consumption pattern analysis results and a preset water consumption threshold value, and generates a water flow control record.

[0010] As a further solution of the present invention, the classification and discharge module includes: The component analysis submodule uses a spectrometer and a chemical sensor based on the water flow control record to monitor the chemical composition of the radioactive waste liquid in real time, analyze the type and characteristics of the waste liquid, and generate waste liquid analysis data; The processing channel matching submodule matches processing channels for a variety of waste liquids based on the waste liquid analysis data, according to radiation levels and chemical compositions, and generates a discharge channel configuration result; The discharge behavior analysis submodule monitors the waste liquid discharge process in real time based on the discharge channel configuration result, records the discharge volume, identifies abnormal discharge behavior in combination with time series analysis, and generates waste liquid discharge monitoring data.

[0011] As a further solution of the present invention, the solid waste crushing management module includes: The solid waste state monitoring submodule uses an ultrasonic sensor to monitor the accumulation state of solid matter in the decay tank in real time based on the waste liquid discharge monitoring data, calculates the solid accumulation degree, and generates solid accumulation monitoring data; The crusher adjustment submodule adjusts the operating parameters of the crusher, including the mixing intensity and speed, based on the solid accumulation monitoring data, optimizes the processing efficiency of the solid matter, and generates a crushing parameter configuration result; The crushing effect monitoring submodule monitors the crushing effect in real time based on the crushing parameter configuration result, evaluates the efficiency and effect of solid matter processing, records the operation data of the crusher, and generates the decay tank solid processing record.

[0012] As a further embodiment of the present invention, the specific formula for calculating the degree of solid accumulation is: ; Where S represents the distance of solid matter accumulation, is the ultrasonic velocity under standard conditions, is the temperature regulation coefficient, Represents the current water temperature. is the reference temperature, is the density adjustment factor, represents the density of the solution in the tank, is the solid concentration adjustment coefficient, C represents the solid concentration, and t represents the ultrasonic round trip time.

[0013] As a further solution of the present invention, the capacity warning module includes: The liquid level real-time monitoring submodule uses a liquid level sensor to monitor the liquid levels of multiple decay tanks in real time based on the solid processing records of the decay tanks, records the liquid level data and associated time point information, and generates liquid level monitoring data; The water inlet channel regulating submodule adjusts the valve state of the water inlet channel of the decay tank based on the liquid level monitoring data and the liquid level data of the plurality of decay tanks, and generates a discharge channel regulating result; The warning threshold setting submodule adjusts the working parameters of the drainage pumps in multiple decay tanks based on the discharge channel adjustment result and in combination with the real-time liquid level data, sets the capacity warning threshold in combination with the capacity information of the decay tank, and generates waste liquid discharge processing parameters.

[0014] As a further solution of the present invention, the log information management module includes: The event data collection submodule collects the event data of equipment failure, safety alarm and waste liquid discharge in the waste liquid treatment system in real time based on the waste liquid discharge treatment parameters, and generates equipment operation event records; The event frequency analysis submodule records the occurrence time and location information of the event based on the equipment operation event record, analyzes the occurrence frequency and mode of the fault and alarm events, and generates the event location and time information; The maintenance adjustment submodule adjusts the equipment maintenance schedule based on the event location and time information and the frequency of failure, optimizes the reliability and safety of the waste liquid treatment equipment, and generates a radioactive waste liquid treatment record.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, through real-time environmental radiation monitoring, radiation level changes are analyzed and leakage risks are identified. Combined with ward water management, excessive use of water resources is prevented, and the demand for waste liquid treatment is reduced. The automatic matching of treatment channels improves treatment efficiency and reduces human errors. Through real-time monitoring of solid waste and automatic adjustment of grinder parameters, solid waste treatment efficiency is optimized. Through precise monitoring of the liquid level in the decay tank and automatic adjustment of the waste liquid flow direction, overflow accidents are prevented and the waste liquid treatment time is optimized, the safety of treatment is enhanced, the risk of long-term operation is reduced, and it is ensured that radioactive waste treatment meets environmental protection standards and protects public health and environmental safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a system flow chart of the present invention; Figure 2 It is a schematic diagram of the system framework of the present invention; Figure 3 This is a flow chart of the automatic collection and storage module of nuclear waste liquid of the present invention; Figure 4 It is a flow chart of the environment monitoring module of the present invention; Figure 5 This is a flow chart of the ward water use monitoring module of the present invention; Figure 6 It is a flow chart of the classification and discharge module of the present invention; Figure 7 This is a flow chart of the solid waste crushing management module of the present invention; Figure 8 It is a flow chart of the capacity warning module of the present invention; Fig. 9 This is a flow chart of the log information management module of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0019] See also Figure 1 to Figure 2 , the intelligent treatment system for radioactive liquid waste includes: The automatic collection and storage module for nuclear waste liquid is based on the information of the source of waste liquid discharge, classifies and stores the collected waste liquid according to the source type, combines flow sensors to monitor the waste liquid flow in real time, records the remaining capacity of multiple storage tanks, and generates preliminary storage information for the waste liquid; The environmental monitoring module uses radiation detection sensors based on the preliminary storage information of the waste liquid to monitor and record the radiation level in the target area environment in real time, identify leakage risks, and generate radiation level monitoring data; The ward water consumption monitoring module monitors the ward water consumption data in real time based on the radiation level monitoring data, controls the water flow according to the preset water consumption threshold, and generates water flow control records; The classification and discharge module analyzes the composition of radioactive waste liquid in real time based on the water flow control records, matches the treatment channel according to the waste liquid type, monitors and records the total amount of waste liquid discharged, and generates waste liquid discharge monitoring data; The solid waste shredder management module detects the accumulation of solid waste in the decay tank in real time based on the waste liquid discharge monitoring data, adjusts the operating parameters of the decay tank shredder, and generates the decay tank solid treatment record; The capacity warning module monitors the liquid levels of multiple decay tanks in real time based on the solid treatment records of the decay tanks, adjusts the flow direction and discharge of waste liquid according to the liquid level, sets the capacity warning threshold based on the capacity of the decay tank, and generates waste liquid discharge treatment parameters; The log information management module collects equipment failures, safety alarms, and waste discharge information in real time based on waste discharge treatment parameters, adjusts the maintenance time list according to the frequency of failures, and generates radioactive waste treatment records.

[0020] Radiation level monitoring data include regional radiation intensity information, timestamp data set, and risk level assessment results. Water flow control records include ward water consumption, water consumption peak and valley time periods, and flow adjustment parameters. Waste liquid discharge monitoring data include waste liquid component type information, total discharge data, and abnormal emission indicators. Decay tank solid treatment records include solid waste accumulation data, pulverizer operation frequency parameters, and pulverizing effect evaluation results. Waste liquid discharge treatment parameters include liquid level data, adjusted discharge time, and capacity warning threshold parameters. Radioactive waste liquid treatment records include equipment failure logs, safety alarm response records, and maintenance time adjustment results.

[0021] See also Figure 2 and Figure 3 , the nuclear waste liquid automatic collection and storage module includes: The waste liquid classification submodule directs various types of waste liquid to storage tanks based on the waste liquid discharge source information and generates waste liquid classification storage results: In the waste liquid classification submodule, operations are performed according to the specific source information of the waste liquid discharge. The control system dynamically adjusts the diversion valve to accurately divert different types of waste liquid to the corresponding preset storage tanks. The automatic classification algorithms used include support vector machines and decision tree analysis, which can effectively learn from complex input data and make quick decisions, update the waste liquid storage database in real time, record the storage location and time of each waste liquid, and provide accurate tracking information for subsequent processing and utilization. The classification and storage results are automatically recorded in the waste liquid classification storage result database to ensure the efficiency and safety of the processing.

[0022] The waste liquid monitoring submodule uses flow sensors to monitor and record the waste liquid flow through multiple pipelines in real time based on the waste liquid classification storage results, calculate the waste liquid flow rate and total flow, and adjust the flow control valve to balance the filling rate of multiple storage tanks, and generate a flow control log: In the waste liquid monitoring submodule, based on the classified waste liquid storage results, flow sensors are arranged along the main and secondary pipelines. The sensors monitor the waste liquid flow rate and flow rate through each pipeline in real time. The data is transmitted to the central monitoring system in real time through the wireless network. The flow data is analyzed by real-time data processing software. The software processes signals based on fast Fourier transform and autoregressive moving average models, identifies abnormal fluctuations and trends in the flow, and automatically adjusts the flow control valve by comparing the flow data of each pipeline to balance the filling rate of multiple storage tanks and prevent any tank from being overfilled or too low. The decision on each valve adjustment during the adjustment process is based on a preset flow balancing algorithm to ensure that all tanks operate within the safety threshold. All details of the operation and adjustment results are recorded in the flow control log for future analysis and auditing.

[0023] The capacity management submodule uses the liquid level sensor to monitor the liquid level data of multiple storage tanks in real time based on the flow control log, records the remaining capacity information, and generates preliminary storage information for waste liquid: During the operation of the capacity management submodule, high-resolution liquid level sensors installed in each storage tank are used. The sensors can monitor and accurately measure the liquid level in real time. The liquid level data is fed back to the central data processing unit in real time. The dynamic data correction technology based on the Kalman filter is used to extract signals from the noise to ensure the accuracy of the liquid level readings. According to the real-time liquid level data, the remaining capacity of each tank is automatically calculated, and early warnings are issued for storage tanks approaching the upper or lower limit to prevent overflow or falling below the safe level. All liquid level monitoring data and remaining capacity information are updated in real time to the waste liquid storage information database, providing operators with instant and accurate data support to carry out necessary maintenance or adjustment operations to ensure the continuous operation of the system and environmental safety.

[0024] See also Figure 2 and Figure 4 , the environmental monitoring module includes: The radiation data acquisition submodule uses radiation detection sensors to collect and record environmental radiation data in the target area in real time based on the preliminary storage information of the waste liquid, and generates real-time radiation monitoring data in combination with timestamp information; In the radiation data acquisition submodule, data is collected based on environmental radiation detection sensors to record the environmental radiation intensity of the target area in real time. The sensor obtains radiation energy readings through continuous monitoring and combines them with timestamps, and stores the data in the form of time series to ensure the continuity and integrity of data collection. The collected data is encoded into digital signals and transmitted to the data processing center through a wireless network. The data processing center uses a noise filtering algorithm to clean the data and eliminate environmental interference factors such as the background radiation and transitional electromagnetic interference of the equipment itself to ensure the accuracy and reliability of the data. The cleaned data is formatted according to the predetermined data format and standard and stored in the database for long-term storage. The generated real-time radiation monitoring data includes each radiation intensity reading and the corresponding timestamp. The data is used for further analysis and monitoring of changes in radiation levels.

[0025] The radiation leakage identification submodule identifies leakage risks based on real-time radiation monitoring data and sends warning information, including location information and time point information, to generate leakage risk assessment results; In the radiation leak identification submodule, the data is analyzed based on real-time radiation monitoring data, and anomaly detection technology is used to determine whether the radiation level exceeds the normal range. The standard deviation and mean of the current data and historical data are compared based on statistical models, and data points that deviate significantly from the normal level are identified. After identifying the anomalies, geographic information system technology is used to correspond the abnormal radiation level to the geographical location, and a radiation intensity map is drawn. By comparing and analyzing the hot spots on the map, the location of potential leakage sources is pointed out. At the same time, combined with real-time monitoring data, the time point of the leakage is calculated, and the leakage risk assessment results are generated. The early warning system is automatically triggered and sent to relevant personnel. Warning information, including the location and time point information of the leakage, can also be conducted. Preliminary leakage impact assessment and emergency response recommendations are provided.

[0026] The radiation risk assessment submodule calculates the radiation risk level in the target area based on the risk level assessment results and the real-time radiation level data, and generates radiation level monitoring data; The specific formula for calculating the radiation risk level within the target area is: ; Among them, R represents the comprehensive radiation risk level of the target area, which is a weighted average value calculated by considering the radiation concentration and risk weight of each monitoring point, i represents the monitoring point number in the ward or testing room, represents the radiation concentration value of the i-th monitoring point in the ward or testing room, It represents the risk weight of the ith monitoring point determined according to the density of people and the layout of sensitive equipment in the ward or testing room, so as to improve the accuracy and adaptability of radiation risk calculation in key areas. n represents the total number of monitoring points in the ward or testing room, which is used to average the overall risk assessment results.

[0027] formula: ; Detailed explanation of the formula and the process of formula calculation and derivation: The formula is used to calculate the average radiation risk level in the target area, and the results are used for radiation safety assessment and formulation of corresponding protective measures; Parameter meaning and setting value: is the radiation concentration value of the i-th monitoring point. Assuming that the radiation concentration values ​​of the three monitoring points in the ward are 0.3, 0.5, and 0.45 μSv / h, respectively, the values ​​reflect the real-time radiation levels of multiple monitoring points; is the risk weight of the ith monitoring point. Assume that the corresponding weights are 1.2, 1.5, and 1.3 respectively. The weights reflect the importance and risk sensitivity of the area where the monitoring point is located; n represents the total number of monitoring points, which is 3, and is used to average the risk assessment results to ensure the balance of the global assessment; Substitute the parameters into the formula for calculation: Calculate the weighted radiation concentration at each monitoring point: ; Calculate the sum of weighted radiation concentrations: ; Calculate the average risk level: ; The result of 0.434 indicates that the average radiation risk level in the target area is low. The numerical result helps managers understand the radiation status in the ward or test room, adjust safety plans and strengthen radiation protection at monitoring points.

[0028] See also Figure 2 and Figure 5 , the ward water monitoring module includes: The water consumption monitoring submodule uses flow sensors to monitor and record the water consumption of multiple wards in real time based on radiation level monitoring data, and generates real-time water consumption records; In the water volume monitoring submodule, based on the environmental radiation level monitoring data, flow sensors are used to monitor and record the water consumption of multiple wards in real time. The speed and volume of water passing through the pipe are measured by the flow sensors, and the data is transmitted to the central processing unit through analog or digital signals. The transmitted data includes the water consumption and time tags of each ward to ensure the timeliness and accuracy of the data. The central processing unit receives and stores the data in real time and forms a water consumption time series in the database. The sequence data is subsequently used to analyze the water use patterns and consumption trends of the wards, providing data support for hospital resource management and scheduling. The generated real-time water consumption records include the water consumption of each monitoring point and the corresponding timestamp. The records can be queried and analyzed in real time by the hospital management system through the data interface.

[0029] The water consumption data analysis submodule is based on real-time water consumption records and uses time series analysis to identify water consumption patterns in multiple wards, analyze the changing trends of water consumption in multiple time periods, and generate water consumption pattern analysis results; In the water use data analysis submodule, through time series analysis, the autoregressive moving average model is used, and the formula Calculate water needs; In the formula, represents the water consumption at the predicted time, c is a constant term, is the random error at the prediction time, and is the autoregressive coefficient, Indicates the water consumption at the previous moment Impact on current water consumption, Indicates the water consumption in the previous two moments The impact of is the moving average coefficient, representing the error at the previous moment The impact of Detailed explanation of the formula and the process of formula calculation and derivation: Assumptions , , , , water consumption in the previous two days Lift, Liter, error from the previous day , the current error is 1, substitute it into the formula for calculation: ; The result of 101.3 liters indicates that the water consumption at the predicted moment is approximately 101.3 liters. The value reflects the combined impact of historical water consumption data and random errors. The model is used to evaluate and predict future water consumption trends and help with water resource management and adjustment.

[0030] The water valve parameter control submodule adjusts the water outflow of multiple wards based on the water use pattern analysis results and the preset water use threshold, and generates water use flow control records; In the water valve parameter control submodule, based on the water use pattern analysis results, the water flow rate is dynamically adjusted according to the water demand of different wards. By analyzing the water use pattern and the preset water consumption threshold, when the actual water consumption of a ward exceeds the preset threshold, the water flow rate of the ward is reduced, and vice versa. The adjustment helps the hospital optimize the use of water resources, avoid waste, and ensure that patients and staff have sufficient water supply. Each adjustment will be recorded in the water flow control record, including the flow value before and after the adjustment, the adjustment time and the adjusted ward. The record provides the hospital with water resource usage information and supports continuous water resource management optimization.

[0031] See also Figure 2 and Figure 6 , the classification and emission modules include: The component analysis submodule uses a spectrometer and chemical sensors to monitor the chemical composition of radioactive waste liquid in real time, analyze the type and characteristics of the waste liquid, and generate waste liquid analysis data based on the water flow control records; In the component analysis submodule, based on the water flow control records, spectrometers and chemical sensors are used to monitor the chemical composition of radioactive waste liquid in real time. The spectrometer is used to capture the spectral characteristics of the waste liquid sample, and the content of various chemical substances in the waste liquid is determined by comparing the intensity of the absorption and emission spectral wavelengths. The chemical sensor specifically monitors the presence of specific chemicals, such as heavy metals and radioactive isotopes. Combined with the data provided by the equipment, logistic regression and cluster analysis are used to identify and classify the chemical type and characteristics of the waste liquid. The chemical composition results of the waste liquid are generated during the analysis process, showing the concentration and potential hazard level of each chemical. The generated waste liquid analysis data provides the necessary chemical property reference for subsequent treatment steps, ensuring the scientificity and safety of waste liquid treatment.

[0032] The processing channel matching submodule matches processing channels for various waste liquids based on the waste liquid analysis data, radiation levels and chemical compositions, and generates discharge channel configuration results; In the treatment channel matching submodule, based on the waste liquid analysis data, the module utilizes a customized decision support system. The system uses a data-driven approach to combine the radiation level and chemical composition of the waste liquid to intelligently match the most suitable treatment channel. The algorithm integrated in the system is based on multi-criteria decision analysis (MCDM) to evaluate the adaptability and efficiency of different treatment channels, taking into account factors including chemical reaction rate, treatment cost and environmental impact. Through algorithm analysis, the system can configure the optimal treatment process and equipment for each waste liquid, and automatically adjust the treatment parameters to adapt to changes in waste liquid characteristics. The generated discharge channel configuration results provide operators with clear treatment guidelines to guide them in safely and effectively disposing of waste liquids. The results include recommended treatment technologies, expected treatment efficiencies and expected environmental impact assessments.

[0033] The emission behavior analysis submodule monitors the waste liquid discharge process in real time based on the emission channel configuration results, records the emission volume, identifies abnormal emission behaviors through time series analysis, and generates waste liquid discharge monitoring data; In the emission behavior analysis submodule, based on the emission channel configuration results, the flowmeter and sensor installed in the emission pipeline are used to continuously record the emission of waste liquid. The sensor can detect any abnormal changes in the emission flow. Combined with the time series analysis technology anomaly detection algorithm, the historical trends and seasonal patterns of emission data are analyzed to identify behaviors that deviate from normal emission patterns, such as sudden increases or decreases in emissions. By analyzing the timing and continuity of emission behaviors, waste liquid emission monitoring data is generated to help prevent untreated or excessive waste liquid emissions from causing harm to the environment.

[0034] See also Figure 2 and Figure 7 , solid waste shredding management module includes: The solid waste status monitoring submodule uses ultrasonic sensors to monitor the accumulation status of solid matter in the decay tank in real time based on the waste liquid discharge monitoring data, calculates the degree of solid accumulation, and generates solid accumulation monitoring data; The specific formula for calculating the degree of solid accumulation is: ; Where S represents the distance of solid matter accumulation, is the ultrasonic velocity under standard conditions, is the temperature regulation coefficient, Represents the current water temperature. is the reference temperature, is the density adjustment factor, represents the density of the solution in the tank, is the solid concentration adjustment coefficient, C represents the solid concentration, and t represents the ultrasonic round trip time.

[0035] formula: ; Detailed explanation of the formula and the process of formula calculation and derivation: The formula is used to calculate the distance S of solid accumulation in the decay tank, and the result is used to evaluate the state of solid accumulation; Parameter meaning and setting value: is the speed of ultrasound under standard conditions, assumed to be 1500m / s, reflecting the propagation speed of ultrasound under ideal conditions; is the temperature adjustment coefficient, which is assumed to be 0.017, reflecting the effect of temperature change on ultrasonic velocity; is the current water temperature, assumed to be 22°C, used to calculate the actual value of the temperature difference; is the reference temperature, assumed to be 20°C, used as a basis for calculating the temperature difference; is the density adjustment coefficient, which is assumed to be 0.001, reflecting the small effect of density change on speed; is the density of the solution, assuming it is 1000 , represents the density of the solution in the tank; is the solid concentration adjustment coefficient, which is assumed to be 0.002, reflecting the effect of solid concentration on ultrasonic velocity; C is the solid concentration, assumed to be , used to calculate the concentration of solid substances in solution; t is the round trip time of the ultrasonic wave, which is assumed to be 0.002s, indicating the propagation time of the ultrasonic wave; Substitute the parameters into the formula for calculation: ; The result of 0.05097m indicates the distance the ultrasonic wave propagates, reflecting the degree of accumulation of solid matter in the decay tank. The data is a key indicator for monitoring the status of the decay tank and is used to help manage solid accumulation and prevent problems that may be caused by excessive accumulation.

[0036] The crusher adjustment submodule adjusts the operating parameters of the crusher, including the mixing intensity and speed, based on the solid accumulation monitoring data, optimizes the processing efficiency of solid materials, and generates the crushing parameter configuration results; In the crusher adjustment submodule, based on the solid accumulation monitoring data, data analysis and machine learning algorithms are used to automatically adjust the operating parameters of the crusher, including mixing intensity and speed. The algorithm predicts the most effective mixing settings based on the amount and distribution of solid accumulation. By dynamically adjusting the mixing intensity and speed, the system optimizes the solid material processing efficiency, reduces energy consumption and avoids equipment wear caused by excessive mixing. The automated parameter adjustment is continuously optimized based on real-time monitoring data through a real-time feedback loop to ensure the optimal crushing effect under changing load conditions. The generated crushing parameter configuration results provide operating parameter records for each operation, including the mixing intensity, speed and estimated processing time before and after adjustment. The configuration results help further improve the transparency and traceability of the processing process.

[0037] The crushing effect monitoring submodule monitors the crushing effect in real time based on the crushing parameter configuration results, evaluates the efficiency and effect of solid material processing, records the operation data of the crusher, and generates the decay tank solid processing record; In the crushing effect monitoring submodule, based on the crushing parameter configuration results, the crushing process is monitored in real time and the efficiency and effect of solid material processing are evaluated. Sensing technology such as vibration sensors and torque sensors are used to monitor the operating status of the crusher. The sensors provide data on the crusher load, vibration level and operating stability. The data is processed by analysis software to evaluate the mixing uniformity and the degree of solid material reduction. Fourier transform is used to analyze the vibration data of the crusher to identify any abnormal patterns that indicate poor crushing effect or equipment failure. Real-time monitoring ensures a quick response for adjustment or maintenance. The generated decay tank solid processing record records in detail the start and end time of each crushing process, the crushing efficiency, and the reduction effect of the solid material processed, and provides data support for future operation optimization.

[0038] See also Figure 2 and Figure 8 , the capacity warning module includes: The liquid level real-time monitoring submodule uses liquid level sensors to monitor the liquid levels of multiple decay tanks in real time based on the solid processing records of the decay tanks, records the liquid level data and associated time point information, and generates liquid level monitoring data; In the liquid level real-time monitoring submodule, liquid level sensors are used for monitoring based on the solid processing records of the decay tank. The sensors measure the liquid level height in the decay tank in real time through capacitance or ultrasonic technology. The data collected by the sensor include the liquid level height and the time point of each measurement. The data is sent to the central data processing center through a real-time transmission system. The center uses data smoothing and trend analysis technology to process the received liquid level data, eliminate random fluctuations in the data and identify long-term liquid level change trends. The generated liquid level monitoring data includes time series liquid level change graphs and key time point information. The data is crucial for monitoring the operating status of the decay tank and the activation of the early warning system, helping operators to understand the liquid level status of each decay tank in real time and take necessary actions to prevent overflow or too low liquid levels from affecting the processing process.

[0039] The water inlet channel regulation submodule adjusts the valve state of the water inlet channel of the decay tank based on the liquid level monitoring data and the liquid level data of multiple decay tanks, and generates the discharge channel regulation result; In the water inlet channel regulation submodule, based on the liquid level monitoring data, the water inlet channel valve state of the decay tank is adjusted through automatic control. The fuzzy logic controller is used to dynamically adjust the valve switch state according to the input liquid level data to maintain the liquid level within the ideal range. The liquid level data of multiple decay tanks are used to optimize the valve opening of each tank to ensure the stability and safety of the liquid level. The regulation process takes into account the dynamic characteristics of the liquid flow in each tank, and uses the fluid dynamics model to predict the impact of liquid flow changes on the liquid level to achieve precise control. The generated discharge channel regulation results record the adjustment status of each decay tank valve, the adjustment time and the expected impact evaluation, which provides an optimization basis for system operation and ensures environmental safety and system efficiency.

[0040] The warning threshold setting submodule adjusts the working parameters of the drainage pumps in multiple decay tanks based on the discharge channel adjustment results and in combination with the real-time liquid level data, sets the capacity warning threshold in combination with the capacity information of the decay tank, and generates waste liquid discharge treatment parameters; In the warning threshold setting submodule, based on the discharge channel adjustment results, the real-time liquid level monitoring data is used to adjust the working parameters of the drainage pump. Through advanced control algorithms, such as PID control, the operating speed and duration of the drainage pump are automatically adjusted according to the real-time liquid level data to prevent the liquid level from exceeding the safe range. Combined with the capacity information of the decay tank, the module automatically sets multiple safety warning thresholds. When the real-time liquid level approaches the threshold, the system will issue a warning and start the emergency drainage procedure. The setting of the warning threshold is based on statistical data analysis, taking into account historical liquid level changes and tank capacity limitations. The generated waste liquid discharge treatment parameters include the warning threshold of each decay tank, drainage pump parameters and expected response measures. The parameters ensure the safe operation of the decay tank and prevent environmental pollution and equipment damage caused by improper treatment.

[0041] See also Figure 2 and Fig. 9 , the log information management module includes: The event data collection submodule collects the event data of equipment failure, safety alarm and waste liquid discharge in the waste liquid treatment system in real time based on the waste liquid discharge treatment parameters, and generates equipment operation event records; In the event data acquisition submodule, based on the waste liquid discharge treatment parameters, the data acquisition system is used to monitor the status of key equipment in the waste liquid treatment system in real time, and collect equipment failures, safety alarms and waste liquid discharge event data. The system includes a variety of sensors, such as temperature sensors, pressure sensors and flow sensors. The sensors cyclically monitor the equipment operation parameters and use diagnostic algorithms to promptly identify potential failures or abnormal conditions. When an abnormality is detected, the relevant information will be automatically marked and recorded, including the type of failure, time of occurrence and specific location. The safety alarm system can trigger an alarm when a dangerous condition is detected, such as overtemperature or excessive pressure. At the same time, it records the details of the alarm and the response measures, and generates an equipment operation event record. The record lists the characteristics of important events and provides data support for subsequent analysis.

[0042] The event frequency analysis submodule records the time and location of events based on the equipment operation event records, analyzes the frequency and pattern of fault and alarm events, and generates event location and time information; In the above content, the event frequency analysis submodule records the frequency and mode of fault and alarm events, according to the formula , calculate the event frequency F, In the formula, F is the frequency of event occurrence, N represents the total number of events occurring within a specific period of time, represents the length of observation time, Detailed explanation of the formula and the process of formula calculation and derivation: Assume that the number of equipment failures and safety alarms in a month is 30, that is, N=30, T=720, and substitute the formula for calculation: Times / hour The result of 0.0417 times / hour indicates the average frequency of equipment failures or alarms per hour. This analysis is used to guide the maintenance team to adjust maintenance strategies and improve equipment reliability and safety. By understanding the specific value of the frequency, a more accurate maintenance plan can be formulated to avoid frequent equipment failures and ensure the continuous operation of the waste liquid treatment system.

[0043] The maintenance adjustment submodule adjusts the equipment maintenance schedule based on the event location and time information and the frequency of failures, optimizes the reliability and safety of waste treatment equipment, and generates radioactive waste treatment records; In the maintenance adjustment submodule, the equipment maintenance schedule is adjusted through the maintenance management system based on the event location and time information. According to the frequency and severity of faults, the criticality of the equipment and previous maintenance records, the maintenance plan adjustment suggestions are automatically proposed. The genetic algorithm is used to calculate the optimal maintenance intervals and maintenance activities to minimize equipment downtime and reduce maintenance costs. The operating load and historical performance of the equipment are taken into account during the adjustment process to ensure that each maintenance can solve potential problems in a targeted manner and improve the reliability and safety of the equipment. The generated radioactive waste treatment records record the time, activity content, and expected and actual effects of each maintenance. The records are very valuable for tracking maintenance effects and further optimizing equipment management strategies.

[0044] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. Intelligent radioactive waste liquid treatment system, characterized by: The system comprises: The automatic collection and storage module for nuclear waste liquid is based on the information of the source of waste liquid discharge, classifies and stores the collected waste liquid according to the source type, combines flow sensors to monitor the waste liquid flow in real time, records the remaining capacity of multiple storage tanks, and generates preliminary storage information for the waste liquid; The environmental monitoring module uses radiation detection sensors based on the preliminary storage information of the waste liquid to monitor and record the radiation level in the target area environment in real time, identify leakage risks, and generate radiation level monitoring data; The ward water consumption monitoring module monitors the ward water consumption data in real time based on the radiation level monitoring data, controls the water flow rate according to a preset water consumption threshold, and generates a water flow control record; The classification and discharge module analyzes the composition of the radioactive waste liquid in real time based on the water flow control record, matches the treatment channel according to the waste liquid type, monitors and records the total amount of waste liquid discharged, and generates waste liquid discharge monitoring data; The solid waste crushing management module detects the accumulation degree of solid waste in the decay tank in real time based on the waste liquid discharge monitoring data, adjusts the operating parameters of the decay tank crusher, and generates a decay tank solid treatment record; The capacity warning module monitors the liquid levels of multiple decay tanks in real time based on the solid processing records of the decay tanks, adjusts the flow direction and discharge of waste liquid according to the liquid levels, sets the capacity warning threshold in combination with the capacity of the decay tanks, and generates waste liquid discharge processing parameters; The log information management module collects equipment failures, safety alarms, and waste liquid discharge information in real time based on the waste liquid discharge treatment parameters, adjusts the maintenance time list according to the frequency of failures, and generates radioactive waste liquid treatment records.

2. The intelligent radioactive liquid waste treatment system according to claim 1, characterized in that: The radiation level monitoring data includes regional radiation intensity information, timestamp data set, and risk level assessment results; the water flow control record includes ward water consumption, water consumption peak and valley time periods, and flow adjustment parameters; the waste liquid discharge monitoring data includes waste liquid component type information, total discharge data, and abnormal discharge indicators; the decay tank solid treatment record includes solid waste accumulation data, grinder operation frequency parameters, and grinder effect evaluation results; the waste liquid discharge treatment parameters include liquid level data, adjusted discharge time, and capacity warning threshold parameters; the radioactive waste liquid treatment record includes equipment failure log, safety alarm response record, and maintenance time adjustment results.

3. The intelligent radioactive liquid waste treatment system according to claim 1 is characterized in that: The nuclear waste liquid automatic collection and storage module comprises: The waste liquid classification submodule directs various types of waste liquid to storage tanks based on the waste liquid discharge source information and generates waste liquid classification storage results; The waste liquid monitoring submodule uses a flow sensor to monitor and record the waste liquid flow through multiple pipelines in real time based on the waste liquid classification storage results, calculate the waste liquid flow rate and total flow, and adjust the flow control valve to balance the filling rate of multiple storage tanks, and generate a flow control log; Based on the flow control log, the capacity management submodule uses a liquid level sensor to monitor the liquid level data of multiple storage tanks in real time, records the remaining capacity information, and generates preliminary storage information for waste liquid.

4. The intelligent radioactive liquid waste treatment system according to claim 2 is characterized in that: The environmental monitoring module comprises: The radiation data acquisition submodule uses radiation detection sensors to collect and record environmental radiation data in the target area in real time based on the preliminary storage information of the waste liquid, and generates real-time radiation monitoring data in combination with timestamp information; The radiation leakage identification submodule identifies leakage risks based on the real-time radiation monitoring data and sends warning information, including location information and time point information, to generate leakage risk assessment results; The radiation risk assessment submodule calculates the radiation risk level in the target area based on the risk level assessment result and the real-time radiation level data, and generates radiation level monitoring data.

5. The intelligent radioactive liquid waste treatment system according to claim 4, characterized in that: The specific formula for calculating the radiation risk level in the target area is: ； Among them, R represents the comprehensive radiation risk level of the target area, which is a weighted average value calculated by considering the radiation concentration and risk weight of each monitoring point, i represents the monitoring point number in the ward or testing room, represents the radiation concentration value of the i-th monitoring point in the ward or testing room, It represents the risk weight of the ith monitoring point determined according to the density of people and the layout of sensitive equipment in the ward or testing room, so as to improve the accuracy and adaptability of radiation risk calculation in key areas. n represents the total number of monitoring points in the ward or testing room, which is used to average the overall risk assessment results.

6. The intelligent radioactive liquid waste treatment system according to claim 1, characterized in that: The ward water use monitoring module comprises: The water consumption monitoring submodule uses a flow sensor to monitor and record the water consumption of multiple wards in real time based on the radiation level monitoring data, and generates a real-time water consumption record; The water consumption data analysis submodule identifies the water consumption patterns of multiple wards based on the real-time water consumption records through time series analysis, analyzes the changing trends of water consumption in multiple time periods, and generates water consumption pattern analysis results; The water valve parameter control submodule adjusts the water flow rates of multiple wards based on the water consumption pattern analysis results and a preset water consumption threshold value, and generates a water flow control record.

7. The intelligent radioactive liquid waste treatment system according to claim 1 is characterized in that: The classification and emission module includes: The component analysis submodule uses a spectrometer and a chemical sensor based on the water flow control record to monitor the chemical composition of the radioactive waste liquid in real time, analyze the type and characteristics of the waste liquid, and generate waste liquid analysis data; The processing channel matching submodule matches processing channels for a variety of waste liquids based on the waste liquid analysis data, according to radiation levels and chemical compositions, and generates a discharge channel configuration result; The discharge behavior analysis submodule monitors the waste liquid discharge process in real time based on the discharge channel configuration result, records the discharge volume, identifies abnormal discharge behavior in combination with time series analysis, and generates waste liquid discharge monitoring data.

8. The intelligent radioactive liquid waste treatment system according to claim 1 is characterized in that: The solid waste crushing management module includes: The solid waste state monitoring submodule uses an ultrasonic sensor to monitor the accumulation state of solid matter in the decay tank in real time based on the waste liquid discharge monitoring data, calculates the solid accumulation degree, and generates solid accumulation monitoring data; The crusher adjustment submodule adjusts the operating parameters of the crusher, including the mixing intensity and speed, based on the solid accumulation monitoring data, optimizes the processing efficiency of the solid matter, and generates a crushing parameter configuration result; The crushing effect monitoring submodule monitors the crushing effect in real time based on the crushing parameter configuration result, evaluates the efficiency and effect of solid matter processing, records the operation data of the crusher, and generates the decay tank solid processing record.

9. The intelligent radioactive liquid waste treatment system according to claim 8, characterized in that: The specific formula for calculating the degree of solid accumulation is: ； Where S represents the distance of solid matter accumulation, is the ultrasonic velocity under standard conditions, is the temperature regulation coefficient, Represents the current water temperature. is the reference temperature, is the density adjustment factor, represents the density of the solution in the tank, is the solid concentration adjustment coefficient, C represents the solid concentration, and t represents the ultrasonic round trip time.

10. The intelligent radioactive liquid waste treatment system according to claim 1, characterized in that: The capacity warning module includes: The liquid level real-time monitoring submodule uses a liquid level sensor to monitor the liquid levels of multiple decay tanks in real time based on the solid processing records of the decay tanks, records the liquid level data and associated time point information, and generates liquid level monitoring data; The water inlet channel regulating submodule adjusts the valve state of the water inlet channel of the decay tank based on the liquid level monitoring data and the liquid level data of the plurality of decay tanks, and generates a discharge channel regulating result; The warning threshold setting submodule adjusts the working parameters of the drainage pumps in multiple decay tanks based on the discharge channel adjustment result and in combination with the real-time liquid level data, sets the capacity warning threshold in combination with the capacity information of the decay tank, and generates waste liquid discharge processing parameters.

11. The intelligent radioactive waste treatment system according to claim 1, characterized in that: The log information management module includes: The event data collection submodule collects the event data of equipment failure, safety alarm and waste liquid discharge in the waste liquid treatment system in real time based on the waste liquid discharge treatment parameters, and generates equipment operation event records; The event frequency analysis submodule records the occurrence time and location information of the event based on the equipment operation event record, analyzes the occurrence frequency and mode of the fault and alarm events, and generates the event location and time information; The maintenance adjustment submodule adjusts the equipment maintenance schedule based on the event location and time information and the frequency of failure, optimizes the reliability and safety of the waste liquid treatment equipment, and generates a radioactive waste liquid treatment record.

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