On-line sulfate radical detection device

Abstract

The utility model provides an on-line sulfate radical detection device. The on-line sulfate radical detection device comprises a first switching valve, a second switching valve, a first feeding pump, a second feeding pump, a filtering module, an infrared spectrum tester with an optical path detection function and a data reading, recording, displaying, converting and memorizing module, the input end of the first feeding pump is connected with the output end of the first switching valve through a pipeline, and the input end of the second feeding pump is connected with the output end of the second switching valve through a pipeline. According to the utility model, sulfate radicals in a solution are analyzed by adopting a near infrared spectroscopy method, the response is rapid and accurate, the dilution of saline water is realized through the flow ratio between the first feeding pump and the second feeding pump, the optimal photosensitive concentration requirement of infrared analysis is met, and the optimal photosensitive concentration requirement of infrared analysis is met through the switching of the first feeding pump, the second feeding pump and the first switching valve. The infrared data difference comparison between the to-be-detected liquid and the pure water under the constant overflowing flow is realized, and the influence of the water flow change on the infrared photosensitive detection is eliminated.

Description

Technical Field

[0001] This utility model relates to the field of online detection technology, and in particular to an online sulfate detection device. Background Technology

[0002] In the existing salt chemical and chlor-alkali industries, it is often necessary to detect and analyze sulfate in brine, and rapid detection is desired to enable quick adjustment and response of separation and filtration equipment. Currently, sulfate analysis in sodium chloride brine typically employs turbidimetric or colorimetric methods. CN114034643 discloses an online sulfate analysis device, a typical online analytical device based on turbidimetric methods. By adding barium chloride solution dropwise to a sulfate reactor, a suspension of the test solution is formed. Optical path analysis is then used to record the difference between the turbidity value of the reaction solution and the turbidity value of the blank solution, and the sulfate content is calculated. The national standard method (GB13025.8) discloses detailed operating procedures for the EDTA complexation method. However, due to its complex operation and poor optical path detection characteristics, it has not been utilized in online sulfate detection devices.

[0003] Currently, online detection and analysis devices for sulfuric acid primarily rely on turbidimetry. However, since the brine system is a clear aqueous solution and does not contain substances that contribute to dispersion, the resulting barium sulfate will quickly stratify in the reactor. The diffuse scattering of light by stratified particles differs significantly from that of uniformly distributed particles, leading to lower accuracy in the detection results. Furthermore, online detection requires the addition of reagents, necessitating careful management of their supply and metering, which greatly increases the maintenance workload of the online analysis device.

[0004] To address this issue, we propose an online sulfate detection device to solve the problems of low detection accuracy and high maintenance costs in existing sulfate technologies. Utility Model Content

[0005] In view of the shortcomings of the prior art described above, the purpose of this utility model is to provide an online sulfate detection device to solve the problems of low accuracy and high maintenance cost of sulfate detection in the prior art.

[0006] To achieve the above and other related objectives, this utility model provides an online sulfate detection device, comprising: a first switching valve, a second switching valve, a first feed pump, a second feed pump, a filter module, an infrared spectrometer with optical path detection, and a data reading, recording, display, conversion, and memory module.

[0007] The input end of the first feed pump is connected to the output end of the first switching valve through a pipeline. The input end of the second feed pump is connected to the output end of the second switching valve through a pipeline. The input end of the second switching valve is connected to the bypass input end of the first switching valve after being split by the pipeline. The output ends of the first and second feed pumps are connected to the input end of the filter module after being combined by the pipeline. The output end of the filter module is connected to the input end of the infrared spectrometer with optical path detection through a pipeline. The infrared spectrometer with optical path detection can transmit signals to the data reading, recording, display, conversion, and memory module.

[0008] Preferably, both the first feed pump and the second feed pump are peristaltic pumps.

[0009] Preferably, the connection between the two ends of the filter module and the corresponding pipeline is a detachable connection.

[0010] Preferably, the filtration module employs a method that prevents dissolution and seepage under saline conditions, and the filtration material has a precision of 5~0.1. Preferably, the infrared spectrometer with optical path detection emits and detects near-infrared wavelengths in the 1150-1240 cm⁻¹ band. -1 .

[0011] Preferably, the output of the infrared spectrometer with optical path detection is connected to the third switching valve via a pipeline.

[0012] As described above, the online sulfate detection device disclosed in this utility model has the following beneficial effects:

[0013] This invention employs near-infrared spectroscopy to analyze sulfate ions in solution, offering rapid and accurate response. By adjusting the flow rate between the first and second feed pumps, the brine is diluted to meet the optimal photosensitive concentration requirements for infrared analysis. By switching between the first and second feed pumps and the first switching valve, the infrared data difference between the test solution and pure water under constant flow rate can be compared, eliminating the influence of water flow rate variations on infrared photosensitive detection.

[0014] Meanwhile, by first injecting saline solution to obtain the first detection data, and then injecting pure water to obtain the second detection data, the required measurement difference is met while flushing the analytical pipeline to avoid the influence of residual salt in the saline solution on the next analysis. In addition, by adding a filter, the influence of on-site samples and pure water storage tanks on the infrared photosensitive channel is eliminated. When the analysis is not in operation, the switching of the first, second and third switching valves is used to achieve pure water circulation in the pipeline, maintain the influence of the infrared photosensitive channel, and also avoid the influence of salt crystallization in the saline solution on the analysis.

[0015] Therefore, this utility model effectively overcomes the various shortcomings of the prior art and has high industrial application value. Attached Figure Description

[0016] Figure 1 shows the overall structure of an online sulfate detection device according to this utility model.

[0017] Figure 2 shows the online detection structure of an online sulfate detection device according to this utility model.

[0018] Component designation explanation

[0019] 1. First switching valve; 2. Second switching valve; 3. Third switching valve;

[0020] 4. First feed pump; 5. Second feed pump;

[0021] 6. Filtering module;

[0022] 7. Infrared spectroscopy tester with optical path detection; 8. Data reading, recording, display, conversion, and memory module. Detailed Implementation

[0023] The following specific embodiments illustrate the implementation of this utility model. Those skilled in the art can easily understand other advantages and effects of this utility model from the content disclosed in this specification.

[0024] Please refer to Figures 1 and 2. It should be noted that the structures, proportions, sizes, etc., depicted in the accompanying drawings are merely for illustrative purposes to aid those skilled in the art and are not intended to limit the implementation of this invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to the size...

[0025] Without affecting the effects and objectives of this utility model, all actions should still fall within the scope of the technical content disclosed in this utility model. Furthermore, the terms "upper," "lower," "left," "right," "middle," and "one" used in this specification are merely for clarity of description and are not intended to limit the scope of implementation of this utility model. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of implementation of this utility model.

[0026] As shown in Figures 1-2, this utility model provides an online sulfate detection device, including: a first switching valve 1, a second switching valve 2, a first feed pump 4, a second feed pump 5, a filter module 6, an infrared spectrometer with optical path detection 7, and a data reading, recording, display, conversion, and memory module 8. The input end of the first feed pump 4 is connected to the output end of the first switching valve 1 via a pipeline, and the pipeline connected to the input end of the first switching valve 1 is used to introduce the liquid to be tested. The input end of the second feed pump 5 is connected to the output end of the second switching valve 2 via a pipeline, and the pipeline connected to the input end of the second switching valve 2 is used to introduce pure water. The pipeline connected to the input end of the second switching valve 2 is split and connected to the bypass input end of the first switching valve 1. The second switching valve 2 is a two-way switching valve, and the first switching valve 1 is a three-way switching valve. The outputs of the first feed pump 4 and the second feed pump 5 are connected to the input of the filter module 6 via a combined pipeline. The output of the filter module 6 is connected to the input of the infrared spectrometer 7 with optical path detection via a pipeline. The infrared spectrometer 7 with optical path detection can transmit signals to the data reading, recording, display, conversion, and memory module 8. In use, the test solution is drawn in by the first feed pump 4 and fed into the filter module 6 via constant flow. At this time, the first switching valve 1 is in a direct-flow state, and the second switching valve 2 connected to the pure water supply pipeline is in a closed state. The sodium chloride concentration of the test solution is 170-310 g / L, and the sodium sulfate concentration is 7-130 g / L. Pure water is drawn in by the second feed pump 5 and fed into the inlet of the filter module 6 via constant flow, mixing with the test solution to form a sulfate concentration suitable for infrared photometric peak detection. At this time, the second switching valve 2 is in an open state. The filtered diluted test solution enters the transparent optical path container of the infrared spectrometer 7 with optical path detection; the infrared light of the rated wavelength emitted by the infrared spectrometer passes through the optical path container, and the sensor obtains the detection signal, which is converted into the first detection value group and uploaded to the data reading, recording, display, conversion, and memory module 8; the data reading, recording, display, conversion, and memory module 8 completes data recording and mean calculation, and outputs the first detection value; the data reading of the first detection value group begins after the reading change is less than 0.1 / second, and the data reading frequency is 0.5 seconds / time, for a total of 5 groups.After the first set of test values ​​is completed, the first switching valve 1 is switched, the direct-flow state is closed, and the pure water supply pipeline is opened. At this time, pure water is delivered to the subsequent pipelines and equipment by the first feed pump 4. The pure water enters the infrared spectrometer 7 with optical path detection to convert the second set of test values ​​and uploads the data to the data reading, recording, display, conversion, and memory module 8. The data reading, recording, display, conversion, and memory module 8 completes data recording and mean calculation, and outputs the second test value. The data reading of the second set of test values ​​begins after the reading change is less than 0.1 / second, and the data reading frequency is 0.5 seconds / time, for a total of 5 sets. After the first and second detection values ​​are read, the built-in infrared photometric value and sodium sulfate concentration are converted into numerical values. Then, the solution coefficient multiple is calculated by using the data between the frequencies of the first feed pump 4 and the second feed pump 5. Finally, the accurate sodium sulfate concentration value of the test solution is obtained, and the data is stored in the module for retrieval, or a curve is output according to the set requirements. After a single data acquisition, a pure water rinse is performed for 20-60 seconds to determine the end of the single detection operation.

[0027] In one embodiment, both the first feed pump 4 and the second feed pump 5 are peristaltic pumps. The first feed pump 4, being a peristaltic pump, allows for tracking of the discharge flow rate through a quantitative rotation frequency to meet the needs of adjusting the feed flow rate under different concentration conditions. The second feed pump 5, also a peristaltic pump, allows for tracking of the discharge flow rate through a quantitative rotation frequency to meet the needs of adjusting the dilution pure water flow rate under different concentration conditions.

[0028] In one embodiment, the connection between the two ends of the filter module 6 and the corresponding pipeline is detachable. The detachable structure can employ connectors such as socket joints, PVC connectors, or Haver joints, making the filter module 6 easy to disassemble, clean, or replace, thus preventing a decrease in filtration efficiency after prolonged use.

[0029] In one embodiment, the filter module 6 employs a method that prevents dissolution and seepage under saline conditions, and the filter material has a precision of 5 to 0.1 micrometers.

[0030] In one embodiment, the infrared spectrometer 7 with optical path detection emits and detects near-infrared wavelengths in the 1150-1240 cm⁻¹ band. -1 In one embodiment, the output of the infrared spectrometer 7 with optical path detection is connected to the third switching valve 3 via a conduit.

[0031] The third switching valve 3 is a three-way valve, with its DC output end connected to the waste liquid collection port and its bypass output end connected to the pure water recovery port. After testing, the dilute brine flows through the third switching valve 3 into the waste liquid collection port; during the pure water flushing stage, the third switching valve 3 switches, opening the pure water return port and closing the waste liquid collection pipeline.

[0032] The specific usage process of this utility model is as follows:

[0033] The liquid to be tested is drawn in by the first feed pump 4 and then conveyed into the filter module 6 through constant flow. At this time, the first switching valve 1 is in the open state, and the second switching valve 2 connected to the pure water supply pipeline is in the closed state.

[0034] Pure water is drawn in through the second feed pump 5, and after constant flow delivery, it enters the inlet of the filter module 6, where it is mixed with the solution to be tested to form a sulfate concentration that meets the requirements for infrared photometric detection of peaks; at this time, the second switching valve 2 is in the open state.

[0035] The filtered, diluted test solution enters the transparent optical path container of the infrared spectrometer 7 with optical path detection. Infrared light of the rated wavelength emitted by the infrared spectrometer passes through the optical path container, receives a detection signal in the sensor, converts it into the first set of detection values, and uploads it to the data reading, recording, display, conversion, and memory module 8. The data reading, recording, display, conversion, and memory module 8 completes data recording and mean calculation, and outputs the first detection value. Data reading of the first set of detection values ​​begins after the reading change is less than 0.1 / second, with a reading frequency of 0.5 seconds / time, for a total of 5 sets. The dilute saline solution after testing flows through the third switching valve 3 into the waste liquid collection port.

[0036] After the first set of detection values ​​is completed, the first switching valve 1 is switched, the direct-flow state is closed, and the pure water supply pipeline is opened. At this time, pure water is delivered to the subsequent pipelines and equipment by the first feed pump 4. The pure water enters the infrared spectrometer 7 with optical path detection to convert the second set of detection values ​​and upload the data reading, recording, display, conversion, and memory module 8. The data reading, recording, display, conversion, and memory module 8 completes data recording and mean calculation, and outputs the second detection value. The data reading of the second set of detection values ​​begins after the reading change is less than 0.1 / second, and the data reading frequency is 0.5 seconds / time, for a total of 5 sets.

[0037] After reading the first and second detection values, the system performs numerical conversion between the built-in infrared photometric value and the sodium sulfate concentration. Then, it calculates the solution coefficient multiple using the data between the frequencies of the first feed pump 4 and the second feed pump 5, finally obtaining the accurate sodium sulfate concentration value of the test solution. The data is then stored in the module for retrieval or output as a curve according to the set requirements.

[0038] After acquiring data for a single test, continue rinsing with pure water for 20-60 seconds to mark the end of the single test operation. Then, switch valve 3, opening the pure water return port and closing the waste liquid collection pipe. Shut down the first feed pump 4, and return the first switching valve 1 to its direct-flow state. Wait for the next test operation to begin. Automatic startup can be time-controlled or manually controlled. Once the entire equipment is powered off, all components are shut down.

[0039] The above embodiments are merely illustrative of the principles and effects of this utility model and are not intended to limit the scope of this utility model. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this utility model. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this utility model should still be covered by the claims of this utility model.

Claims

1. An online sulfate detection device, characterized in that, include: First switching valve (1), second switching valve (2), first feed pump (4), second feed pump (5), filter module (6), infrared spectrometer with optical path detection (7), and data reading, recording, display, conversion and memory module (8); The input end of the first feed pump (4) is connected to the output end of the first switching valve (1) through a pipeline. The input end of the second feed pump (5) is connected to the output end of the second switching valve (2) through a pipeline. The input end of the second switching valve (2) is connected to the bypass input end of the first switching valve (1) after the pipeline is split. The output ends of the first feed pump (4) and the second feed pump (5) are connected to the input end of the filter module (6) after the pipeline is combined. The output end of the filter module (6) is connected to the input end of the infrared spectrometer (7) with optical path detection through a pipeline. The infrared spectrometer (7) with optical path detection can transmit signals to the data reading, recording, display, conversion and memory module (8).

2. The online sulfate detection device according to claim 1, characterized in that: Both the first feed pump (4) and the second feed pump (5) are peristaltic pumps.

3. The online sulfate detection device according to claim 1, characterized in that: The connection between the two ends of the filter module (6) and the corresponding pipeline is detachable.

4. The online sulfate detection device according to claim 1 or 3, characterized in that: The filter module (6) adopts a method that prevents dissolution and seepage under salt water conditions, and the filter material has a precision of 5~0.1 micrometers.

5. The online sulfate detection device according to claim 1, characterized in that: The infrared spectrometer (7) with optical path detection emits and detects near-infrared wavelengths of 1150-1240 cm⁻¹. -1 .

6. The online sulfate detection device according to claim 1, characterized in that: The output of the infrared spectrometer (7) with optical path detection is connected to the third switching valve (3) through a pipeline.

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