Iot-based ion concentration online monitoring device and method for waste acid regeneration
By using IoT-based online ion concentration monitoring equipment and intelligent data analysis, the problem of impurities affecting waste acid regeneration treatment has been solved, enabling real-time, accurate monitoring and intelligent management of waste acid ion concentration, thus improving detection accuracy and equipment operating efficiency.
Patent Information
- Application Number
- CN202510867101.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-26
- Publication Date
- 2026-03-03
- Estimated Expiration
- 2045-06-26
AI Technical Summary
Existing online monitoring equipment is easily affected by impurities when detecting waste acid ion concentration, resulting in decreased detection accuracy and inability to achieve continuous and accurate monitoring. Furthermore, it lacks remote management and data transmission capabilities, failing to meet the intelligent requirements for waste acid regeneration treatment.
An IoT-based online ion concentration monitoring device is used, combined with a conical filter and a cleaning mechanism to prevent impurity accumulation. Real-time data transmission is achieved using IoT communication technology, and impurity cleaning strategies are optimized through dual-detection-end collaborative detection and data comparison analysis, combined with re-inspection procedures and intelligent data analysis.
It enables real-time and accurate monitoring of waste acid ion concentration, avoids the influence of impurities, supports remote management and data transmission, and improves detection accuracy and the level of intelligence in equipment operation.
Smart Images

Figure CN120629267B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ion monitoring technology, and in particular to an online monitoring device and method for ion concentration in waste acid regeneration based on the Internet of Things. Background Technology
[0002] The production processes in industries such as chemical engineering, metallurgy, and electroplating generate large amounts of waste acid containing various metal ions and acid radicals. Direct discharge of this waste acid not only causes severe environmental pollution but also wastes valuable resources. Therefore, waste acid regeneration and treatment technology has gradually become a key focus of industry attention.
[0003] Currently, in the waste acid regeneration process, the monitoring of ion concentration in waste acid is mostly done offline. This involves periodically sampling the waste acid treatment equipment and then sending the samples to a laboratory for ion concentration analysis using specialized instruments. This method has several drawbacks: First, offline detection cannot obtain real-time ion concentration data, failing to reflect changes in the waste acid treatment process promptly, thus hindering real-time adjustments and optimizations to the waste acid regeneration process. Second, offline detection requires significant manpower and time, resulting in low efficiency. Furthermore, the sampling process may suffer from insufficient sample representativeness, leading to inaccurate results and affecting the effectiveness and quality of waste acid regeneration.
[0004] While some online monitoring devices exist, they often suffer from problems such as untimely data transmission, inability to achieve remote monitoring and management, and information silos between devices, making it difficult to meet the demands of modern industrial production for intelligent and automated waste acid regeneration processes. More critically, existing online monitoring devices are highly susceptible to accuracy issues when detecting waste acid ion concentrations due to the accumulation of impurities (such as metal particles and precipitates) at the detection end. With prolonged use, impurities adhere to the detection electrodes or channels, causing signal distortion and hindering continuous and accurate ion concentration monitoring, thus interfering with the precise control of the waste acid regeneration process. Therefore, there is an urgent need for an online monitoring device and method that can monitor ion concentrations in waste acid in real time and accurately, effectively solve the problem of impurity accumulation at the detection end, and achieve remote data transmission and intelligent management. Summary of the Invention
[0005] The purpose of this invention is to provide an online monitoring device and method for ion concentration in waste acid regeneration based on the Internet of Things, so as to solve the problems in the prior art.
[0006] To achieve the above objectives, the present invention provides the following technical solution:
[0007] An IoT-based online ion concentration monitoring device for waste acid regeneration includes a monitoring box. The monitoring box has a cover plate at its upper port, with a feed pipe for liquid supply passing through the center of the cover plate. The monitoring box has a drain pipe at its bottom for liquid discharge. A detection platform is located at the center of the bottom of the monitoring box, with a mounting hole through the center of the detection platform. A detection mounting column is fitted into the mounting hole, and at least two ion concentration detection terminals are located at the upper end of the detection mounting column. A data connector is located at the bottom interface of the detection mounting column, and the data connector is electrically connected to the input terminal of an IoT terminal via a data cable. A filter assembly is located at the upper end of the detection platform to protect the ion concentration detection terminals.
[0008] Based on the above technical solutions, the present invention also provides the following optional technical solutions:
[0009] In one alternative embodiment: the filter assembly includes a conical filter cover disposed on the upper end of the testing platform, the surface of the conical filter cover having filter holes distributed thereon, the conical filter cover having a conical structure, the conical filter cover being threadedly connected to the testing platform to facilitate the disassembly of the conical filter cover later, and a cleaning mechanism for removing impurities from the surface of the conical filter cover being provided on the outside of the testing platform.
[0010] In one alternative embodiment: the cleaning mechanism includes a positioning outer ring fixed to the outside of the testing platform, a floating ring seat slidably disposed on the outside of the testing platform below the positioning outer ring, a plurality of vertical slide rods slidably passing through the floating ring seat, the upper ends of the vertical slide rods being connected and fixed to the bottom of the positioning outer ring, the floating ring seat and the positioning outer ring being connected by a floating spring, the floating spring being sleeved on the outside of the vertical slide rods, a water tank for storing water being rotatably disposed on the outside of the floating ring seat, at least one scraper being fixedly disposed on the outside of the water tank, a scraper brush being disposed at one end of the scraper facing the conical filter cover, the scraper brush being matched with the inclined surface of the scraper brush, and a scraper brush matching the surface of the conical filter cover being disposed on the lower side of the scraper brush.
[0011] In one alternative: a limiting block is fixed at the lower end of the vertical slide bar, and a support wheel is rotatably provided at the outer end of the limiting block. The support wheel is used to limit the bottom of the water tank.
[0012] A method for online monitoring of ion concentration in waste acid regeneration, characterized by comprising the following steps:
[0013] S1: Data Acquisition and Preprocessing: The ion concentration in waste acid is detected in real time by the ion concentration detection module, and the data acquisition and processing module performs preprocessing such as amplification, filtering, and analog-to-digital conversion on the detection signal;
[0014] S2: Internet of Things (IoT) communication transmission: Using at least one of the IoT communication technologies, such as 5G, NB-IoT, and LoRa, the pre-processed ion concentration data, alarm information, and impurity accumulation detection information are transmitted to the remote monitoring center in real time.
[0015] S3: Multi-technology Collaborative Detection and Impurity Control: Two detection terminals are set up, using an ion-selective electrode and an ion chromatograph respectively for ion concentration detection. The data acquisition and processing module compares and analyzes the two sets of detection data. When the data difference exceeds a threshold, a re-inspection procedure is initiated. Simultaneously, the detection signal fluctuation characteristics and detection electrode impedance changes are analyzed through an impurity accumulation detection algorithm to monitor the impurity accumulation at the detection terminal in real time. If impurity accumulation is detected, a corresponding impurity cleaning procedure is triggered. The difference between the two sets of detection data is determined by a formula. calculate, The concentration of ions detected by the first detection end. The ion concentration detected by the second detection end; in the impurity accumulation detection algorithm, the formula is used. Calculate the rate of change of the detection electrode impedance. The electrode impedance currently being detected. The impedance when the electrode is working normally, when ( (To set a difference threshold) or ( When the impedance change rate threshold is set, the corresponding operation is triggered.
[0016] S4: Intelligent Data Analysis and Processing: The data acquisition and processing module determines whether the ion concentration is within the set normal range; if it exceeds this range, it generates and stores an alarm message; it performs historical trend analysis on the ion concentration data to predict ion concentration change trends; it analyzes impurity accumulation detection information, statistically analyzes the frequency and extent of impurity accumulation, and optimizes impurity cleaning strategies and waste acid pretreatment processes based on ion concentration change trends; among these, the historical trend analysis uses time series prediction algorithms, such as the ARIMA model, and its prediction formula is... , for Predicted ion concentration at time of day and For model parameters, It is a white noise sequence; impurity accumulation frequency Through formula calculate, unit of time The number of times impurity accumulation was detected internally.
[0017] In one alternative, the impurity cleaning procedure includes: when it is determined that the filter component at the inlet of the detection channel is blocked (at this time, the liquid cannot enter the detection area, resulting in a severe drop in detection data, indicating that the filter component is blocked), a replacement prompt message is sent to the remote monitoring center, and the operator remotely controls the replacement; when it is detected that the ion-selective electrode is significantly affected by impurities, the electrode is cleaned in conjunction with a purging device.
[0018] In one alternative approach: when comparing and analyzing the two sets of detection data in S1, if the data differences are within a reasonable range, the average value is taken as the detection result. The formula for calculating the average value is... .
[0019] In one alternative: the remote monitoring center can be any one of a cloud server or an enterprise monitoring platform. Operators can remotely obtain equipment operating status and ion concentration information through monitoring software or mobile terminals, and remotely configure and manage the online monitoring equipment.
[0020] In one alternative: the historical trend analysis is achieved through data statistics and prediction algorithms; the impurity cleaning strategy includes adjusting the frequency and duration of automatic purging; wherein, the formula for adjusting the automatic purging frequency is: , The adjusted purging frequency, The purging frequency before adjustment To adjust the coefficient, To detect the rate of change of electrode impedance.
[0021] In one alternative: the ions detected by the ion concentration detection terminal include metal ions and acid radical ions, wherein the metal ions include at least one of iron ions, copper ions, and zinc ions, and the acid radical ions include at least one of sulfate ions and nitrate ions.
[0022] By adopting the above technical solution, the present invention has the following beneficial effects:
[0023] This invention is designed to meet existing needs and can detect ion concentration in reclaimed wastewater. During detection, it can block large particulate impurities, preventing them from affecting the detection end and improving the accuracy of ion concentration detection from a hardware perspective.
[0024] This invention also optimizes the data processing method. Through Internet of Things (IoT) communication technology, it enables real-time remote transmission of ion concentration data, alarm information, and impurity accumulation detection information, breaking the limitations of data transmission and facilitating remote monitoring and management of equipment by operators. The dual-detection-end collaborative detection and data comparison analysis mechanism, combined with the re-inspection procedure, significantly improves data accuracy. Attached Figure Description
[0025] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0026] Figure 1 This is a schematic diagram of the overall structure of the present invention.
[0027] Figure 2 This is a schematic diagram of the lower structure of the present invention.
[0028] Figure 3 This is a schematic diagram of the internal water tank structure of the present invention.
[0029] Figure 4 This is a schematic diagram of the lower structure of the water tank of the present invention.
[0030] Figure 5 For the present invention Figure 3 A schematic diagram of the structure of A in the middle.
[0031] Figure 6 This is a processing block diagram of the detection method of the present invention.
[0032] Figure reference numerals: Monitoring box 100, cover plate 101, feeding pipe 102, IoT terminal 103, data cable 104, data connector 105, detection mounting column 106, drain pipe 107, detection platform 108, ion concentration detection terminal 109.
[0033] Water tank 200, conical filter cover 201, scraper brush 202, floating spring 203, positioning outer ring 204, floating ring seat 205, vertical slide bar 206, limit block 207, support wheel 208, scraper frame 209, rotating drain side pipe 210. Detailed Implementation
[0034] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0035] The left, right, up, and down positions of the various components shown in the attached diagram are just one arrangement method; the specific positions should be set according to specific needs.
[0036] In one embodiment, such as Figures 1-6As shown, an IoT-based online ion concentration monitoring device for waste acid regeneration includes a monitoring box 100. The monitoring box 100 has a cover plate 101 at its upper port, with a feeding pipe 102 for liquid supply passing through the center of the cover plate 101. The monitoring box 100 has a drain pipe 107 for liquid drainage at its bottom. A detection platform 108 is located at the center of the bottom of the monitoring box 100, with a mounting hole at its center. A detection mounting column 106 is fitted into the mounting hole. At least two ion concentration detection terminals 109 are located at the upper end of the detection mounting column 106. A data connector 105 is located at the bottom interface of the detection mounting column 106. The data connector 105 is electrically connected to the input terminal of an IoT terminal 103 via a data cable 104. A filter assembly is located at the upper end of the detection platform 108 to protect the ion concentration detection terminals 109. The filter assembly isolates larger impurities, preventing impurities from covering the surface of the ion concentration detection terminals 109 and ensuring the accuracy of real-time detection data.
[0037] A purging device is provided on the upper end of the detection stage 108 where the ion concentration detection terminal 109 is located, which is used to clean the impurities accumulated on the surface of the ion concentration detection terminal 109;
[0038] The filtration assembly includes a conical filter cover 201 disposed on the upper end of the detection platform 108. The surface of the conical filter cover 201 is distributed with filter holes. The conical filter cover 201 has a conical structure and is threadedly connected to the detection platform 108 for easy disassembly. The outer side of the detection platform 108 is provided with a cleaning mechanism for removing impurities from the surface of the conical filter cover 201. The cleaning mechanism removes the adhering substances on the surface of the conical filter cover 201 in a timely manner, thereby ensuring that the detection liquid can smoothly enter the ion concentration detection terminal 109 to complete the detection of the detection liquid.
[0039] The cleaning mechanism includes a positioning outer ring 204 fixed to the outside of the detection platform 108. A floating ring seat 205 is slidably provided on the outside of the detection platform 108 below the positioning outer ring 204. Multiple vertical slide rods 206 are slidably passed through the floating ring seat 205. The upper ends of the vertical slide rods 206 are connected and fixed to the bottom of the positioning outer ring 204. The floating ring seat 205 and the positioning outer ring 204 are connected by a floating spring 203. The floating spring 203 is sleeved on the outside of the vertical slide rods 206. A water tank 200 for storing water is rotatably provided on the outside of the floating ring seat 205. At least one scraper 209 is fixedly provided on the outside of the water tank 209. A scraper brush 202 is provided at one end of the scraper 209 facing the conical filter cover 201. The scraper brush 202 and the inclined surface of the scraper brush 202 are matched. The scraper brush 202 has a scraper brush on its lower side that matches the surface of the conical filter cover 201. In the initial state, the scraper brush 202 and the conical filter cover 201 will not contact each other. Only when the liquid stored in the water tank 200 reaches a set value will the scraper brush 202 and the conical filter cover 201 contact each other. Multiple rotating drain side pipes 210 are arrayed on the outer side of the water tank 200. The multiple rotating drain side pipes 210 are set at an acute angle to the cross-section of the water tank 200. In this way, when the liquid in the water tank 200 flows out along the rotating drain side pipes 210, the flowing liquid will generate a reaction force, thereby forming a rotational torque that drives the water tank 200 to rotate. When the water tank 200 rotates, the scraper frame 209 will drive the scraper brush 202 to rotate, thereby cleaning the surface of the conical filter cover 201.
[0040] A limiting block 207 is fixedly provided at the lower end of the vertical slide bar 206. A support wheel 208 is rotatably provided at the outer end of the limiting block 207. The support wheel 208 is used to limit the bottom of the water tank 200. When the water tank 200 descends to the end, the support wheel 208 contacts the bottom of the water tank 200. At this time, the water tank 200 will not move further down. Otherwise, the scraper brush 202 and the conical filter cover 201 will interfere. Here, the support wheel 208 supports the water tank 200 and assists the water tank 200 in rotating.
[0041] This paper details the practical application and operation process of the online ion concentration monitoring method for waste acid regeneration, using specific industrial scenarios.
[0042] I. Application Scenarios and Equipment Configuration
[0043] Taking the waste acid regeneration system of a large electroplating plant as an example, online monitoring equipment is installed at the outlet pipeline of the waste acid storage tank. This equipment is equipped with two detection terminals. The first terminal uses an ion-selective electrode to detect the concentrations of copper and zinc ions, with a detection range of 0-1000 mg / L and an accuracy of ±1%. The second terminal uses an ion chromatograph, which can simultaneously detect the concentrations of copper, zinc, nickel, and nitrate ions. The detection range varies depending on the type of ion, with an accuracy of ±0.5%.
[0044] The data acquisition and processing module uses an ARM-based embedded processor with a 2GHz clock speed, featuring 16 analog signal acquisition channels and a sampling frequency of 10 times / second. It can quickly and accurately amplify, filter, and perform analog-to-digital conversion on the detected signals. The IoT communication module uses an NB-IoT communication module with a communication distance of up to 3 kilometers, meeting the data transmission needs within the electroplating plant area. It also boasts low power consumption, making it suitable for long-term online operation. The remote monitoring center is located in the plant's monitoring room, employing an enterprise monitoring platform equipped with a high-performance server and monitoring terminals, allowing operators to conveniently view data and manage equipment in real time.
[0045] II. Data Acquisition and Preprocessing
[0046] The ion concentration detection module, consisting of an ion-selective electrode and an ion chromatograph, continuously detects the ion concentration of waste acid in the outlet pipe of the waste acid storage tank. The ion-selective electrode converts the detected ion concentration signal into a voltage signal output, while the ion chromatograph outputs the detection result as a digital signal. The data acquisition and processing module collects the signals output from both detection terminals at a sampling frequency of 10 times per second. The acquired analog signals are first passed through a low-pass filter to remove high-frequency noise, and then converted into digital signals by a 16-bit analog-to-digital converter. Subsequently, the digital signals are normalized to convert them into standard concentration values for subsequent analysis.
[0047] III. The pre-processed ion concentration data, alarm information generated during equipment operation (such as ion concentration exceeding the limit alarm, equipment failure alarm, etc.), and impurity accumulation detection information are transmitted in real-time by the IoT communication module to the enterprise monitoring platform at the remote monitoring center via the NB-IoT network. During data transmission, the TCP / IP protocol is used for data encapsulation and transmission, and the AES-128 encryption algorithm is used to encrypt the data to ensure the security and integrity of data transmission. After receiving the data, the enterprise monitoring platform stores it in its database and displays it in real-time on the monitoring terminal interface for convenient viewing by operators.
[0048] IV. Multi-technology collaborative detection and impurity control
[0049] (I) Data Comparison and Re-examination: The data acquisition and processing module compares and analyzes the copper and zinc ion concentration data collected from the two detection terminals. For example, at a certain moment, the copper ion concentration detected by the first detection terminal... The copper ion concentration detected by the second detection end Through formula Calculate the difference between the two sets of data. A threshold for the difference in copper ion concentration is pre-set. ,because Then take the average value. This serves as the detection result for the copper ion concentration at that specific moment. If, in a given detection, the calculated... If the data difference still exceeds the threshold after multiple tests, an abnormality alert is sent to the remote monitoring center to remind the operator to check for malfunctions in the testing equipment.
[0050] (II) Detection and cleaning of impurity accumulation
[0051] The data acquisition and processing module monitors the impurity buildup at the detection end in real time using an impurity buildup detection algorithm. Taking an ion-selective electrode as an example, the electrode impedance during normal operation... The electrode impedance detected at a certain moment Through formula Calculate the rate of change of electrode impedance. A threshold for the rate of change of electrode impedance is preset. ,because If the system detects that the ion-selective electrode is significantly affected by impurities, an impurity cleaning alarm will be triggered. The data acquisition and processing module will send a replacement notification to the remote monitoring center. Operators can then remotely control the filter replacement mechanism via the monitoring platform to automatically replace the filter with a new one.
[0052] V. Intelligent Data Analysis and Processing
[0053] (i) The ion concentration judgment and alarm data acquisition and processing module compares the detected ion concentration with a preset normal range. For example, the normal range for copper ion concentration is set to 50-300 mg / L. When the detected copper ion concentration exceeds this range, an alarm message is generated, and information such as the alarm time, alarm ion type, and alarm concentration value are stored in the database. At the same time, an audible and visual alarm is issued on the monitoring terminal of the remote monitoring center to remind the operator to handle the situation in a timely manner.
[0054] (II) Historical Trend Analysis: The data acquisition and processing module uses the ARIMA model to perform historical trend analysis on ion concentration data. Based on the copper ion concentration data from the past week, the ARIMA model parameters are determined. , Through formula Predict the trend of copper ion concentration changes over the next 24 hours. Display the prediction results as a line graph on the monitoring terminal at the remote monitoring center to provide operators with a reference for adjusting the waste acid regeneration treatment process.
[0055] (III) Impurity Accumulation Analysis and Strategy Optimization: The data acquisition and processing module analyzes the impurity accumulation detection information and counts the number of times impurities accumulate within a unit of time (e.g., one day). For example, impurity buildup on an ion-selective electrode was detected three times within a single day, with a time period of [missing information]. Through formula Calculate the impurity accumulation frequency.
[0056] Based on the trends in impurity accumulation frequency and ion concentration, the impurity removal strategy is optimized. If the impurity accumulation frequency is high and the ion concentration fluctuates significantly, the strategy is optimized using the formula... Adjust the automatic purging frequency. Original purging frequency. Current electrode impedance change rate The adjusted purging frequency It is also recommended that operators optimize the waste acid pretreatment process, increase the amount of flocculant added, and reduce suspended impurities in the waste acid.
[0057] Through the above specific implementation methods, this online monitoring method for ion concentration in waste acid regeneration can operate effectively in actual industrial scenarios, achieving accurate monitoring of waste acid ion concentration, impurity control, and intelligent management, thereby improving the efficiency and quality of waste acid regeneration treatment.
[0058] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.
Claims
1. An ion concentration online monitoring device for waste acid regeneration based on Internet of Things, comprising a monitoring box (100), a cover plate (101) is arranged on the upper end of the monitoring box (100), a feeding pipe (102) for liquid supply is arranged at the center position of the cover plate (101), characterized in that, The monitoring box (100) bottom is equipped with a drain pipe (107) for draining liquid, the monitoring box (100) bottom center position is equipped with a detection table (108), the detection table (108) center position is penetrated by an installation hole, and a detection installation column (106) is matched and arranged in the installation hole, the detection installation column (106) upper end is equipped with at least two ion concentration detection terminals (109), the detection installation column (106) bottom interface position is equipped with a data connector (105), the data connector (105) is electrically connected with the internet of things terminal (103) input end through a data line (104), the detection table (108) upper end is equipped with a filter assembly for protecting the ion concentration detection terminal (109), and the detection table (108) upper end where the ion concentration detection terminal (109) is located is equipped with a blowing device; The filter assembly comprises a conical filter cover (201) arranged on the upper end of the detection table (108), and the conical filter cover (201) is provided with filter holes on the surface; the conical filter cover (201) is in a conical structure, and is in threaded connection with the detection table (108), so that the conical filter cover (201) can be easily disassembled in the later period; and the detection table (108) is provided with a cleaning mechanism outside for removing impurities on the surface of the conical filter cover (201); The cleaning mechanism comprises a positioning outer ring (204) fixed outside the detection table (108), a floating ring seat (205) is slidably arranged outside the detection table (108) below the positioning outer ring (204), a plurality of vertical slide rods (206) are slidably arranged on the floating ring seat (205), upper ends of the vertical slide rods (206) are fixedly connected with the bottom of the positioning outer ring (204), the floating ring seat (205) and the positioning outer ring (204) are connected through a floating spring (203), the floating spring (203) is arranged outside the vertical slide rod (206), a water storage water tank (200) is rotatably arranged outside the floating ring seat (205), at least one scraping frame (209) is fixedly arranged outside the water tank (200), a scraping brush (202) is arranged at one end of the scraping frame (209) facing the conical filter cover (201), the scraping brush (202) is matched with the inclined surface of the scraping brush (202), and the lower side of the scraping brush (202) is provided with a scraping brush matched with the surface of the conical filter cover (201), a plurality of rotating drainage side pipes (210) are arrayed outside the water tank (200), and the plurality of rotating drainage side pipes (210) are arranged at an acute angle with the section of the water tank (200); A limiting block (207) is fixedly arranged at the lower end of the vertical slide rod (206), and a supporting wheel (208) is rotatably arranged at the outer end of the limiting block (207), and the supporting wheel (208) is used for limiting the bottom of the water tank (200).
Citation Information
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