High-precision induction type conductivity sensing system

Abstract

The invention relates to the technical field of solution analysis, in particular to a high-precision induction type conductivity sensing system, which comprises a probe part, which comprises a temperature probe for detecting the temperature value of a solution, an excitation magnetic ring wound with an excitation coil, and a receiving magnetic ring wound with a receiving coil; the signal processing module is connected with the temperature probe, the excitation magnetic ring and the receiving magnetic ring and is used for generating and applying a high-frequency alternating-current signal to the excitation magnetic ring, receiving a high-frequency alternating-current signal from the receiving magnetic ring and a temperature probe signal from the temperature probe, and transmitting the high-frequency alternating-current signal to the receiving magnetic ring; processing the high-frequency alternating current signal to obtain an original conductivity value, processing a temperature probe signal to obtain a temperature value, and performing analysis based on the original conductivity value, the temperature value and a solution type to obtain an analysis result; wherein the excitation magnetic ring and the receiving magnetic ring are amorphous nanometer magnetic rings. The method has the effects of improving the measurement stability and measuring the solution index with high precision.

Description

Technical Field

[0001] The present invention relates to the technical field of solution analysis, and in particular to a high-precision inductive conductivity sensing system. Background Art

[0002] Electromagnetic induction conductivity measurement is a key technology in the water quality field, with widespread applications in environmental monitoring, industrial production, healthcare, and other fields. With the continuous advancement of technology, the performance requirements for inductive conductivity sensors are becoming increasingly stringent. Conventional sensor materials struggle to meet the demands of high-precision measurements due to factors such as magnetic permeability, hysteresis loss, and temperature stability. Summary of the Invention

[0003] In order to improve measurement stability and measure solution indicators with high precision, the present application provides a high-precision inductive conductivity sensing system.

[0004] The above-mentioned invention objective of this application is achieved through the following technical solutions:

[0005] A high-precision inductive conductivity sensing system comprising:

[0006] The probe part includes a temperature probe for detecting the temperature of the solution, an excitation magnetic ring wound with an excitation coil, and a receiving magnetic ring wound with a receiving coil;

[0007] A signal processing module connected to the temperature probe, the excitation magnetic ring and the receiving magnetic ring, the signal processing module is used to generate and apply a high-frequency AC signal to the excitation magnetic ring, receive the high-frequency AC signal from the receiving magnetic ring and the temperature probe signal from the temperature probe, and,

[0008] Processing the high-frequency AC signal to obtain an original conductivity value, processing the temperature probe signal to obtain a temperature value, and performing analysis based on the original conductivity value, temperature value, and solution type to obtain an analysis result;

[0009] Wherein, the excitation magnetic ring and the receiving magnetic ring are amorphous nano-magnetic rings.

[0010] In a preferred example, the present application may be further configured to: perform analysis based on the original conductivity value, temperature value, and solution type to obtain an analysis result; including:

[0011] According to the solution type, performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value;

[0012] The solution concentration is obtained by analyzing the solution type, the temperature value and the corrected conductivity value.

[0013] In a preferred example, the present application may be further configured to: perform analysis based on the solution type, the temperature value, and the corrected conductivity value to obtain the solution concentration, including:

[0014] If the solution type is sulfuric acid, nitric acid or hydrochloric acid, the temperature compensation coefficient is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table;

[0015] Matching a corresponding curve array in a curve array set according to the temperature compensation coefficient, each curve array including a temperature compensation coefficient, a second-order polynomial coefficient, a measuring range and a corresponding conductivity range;

[0016] determining whether the corrected conductivity value is within the conductivity range;

[0017] If the solution is within the stated range, the concentration is calculated using the following second-order polynomial:

[0018] Solution concentration = A·es 2 +B·es+C

[0019] Where A, B, and C are the coefficients of the second-order polynomial, and es is the corrected conductivity value;

[0020] If the conductivity range is exceeded, the boundary value of the range corresponding to the boundary value closest to the corrected conductivity value in the conductivity range is taken as the solution concentration.

[0021] In a preferred example, the present application may be further configured to: perform analysis based on the solution type, the temperature value, and the corrected conductivity value to obtain the solution concentration, including:

[0022] If the solution type is sodium hydroxide, then in the temperature-concentration-conductivity value mapping table,

[0023] Determine the adjacent temperature interval [T] where the temperature value is located in the sodium hydroxide temperature-concentration-conductivity value mapping table by binary search. i ,T i+1 ], calculate the temperature weight w based on the temperature value and the adjacent temperature interval t .

[0024] In the conductivity interval corresponding to the adjacent temperature interval, search for the adjacent conductivity interval where the corrected conductivity value is located along the conductivity decreasing direction. j ,es j+1 ], according to the adjacent conductivity interval [es j ,es j+1 ] in the sodium hydroxide temperature-concentration-conductivity value mapping table to obtain the concentration range [C j ,C j+1 ];

[0025] The solution concentration was calculated using the following formula:

[0026] Solution concentration = C j+1 -(C j+1 -C j )·w es

[0027] Among them, C j+1 for es j+1 The corresponding concentration, C j for es j The corresponding concentration, w es is the weight of the corrected conductivity value in the interval.

[0028] In a preferred example, the present application may be further configured to: perform analysis based on the solution type, the temperature value, and the corrected conductivity value to obtain the solution concentration, including:

[0029] If the solution type is sodium chloride and the corrected conductivity value is in the low conductivity range, the solution concentration is calculated using the following formula:

[0030] Solution concentration = 0.0003·es 2 +0.0605 es-0.002

[0031] If the solution type is sodium chloride and the corrected conductivity value is in the high and low conductivity range, the adjacent conductivity value interval [es] in which the corrected conductivity value is located is determined by binary search in the 18°C ​​sodium chloride conductivity value-concentration mapping table. i ,es i+1 ], according to the adjacent conductivity interval [es i ,es i+1 ] in the sodium chloride conductivity value-concentration mapping table to obtain the concentration range [C i ,C i+1 ];

[0032] The solution concentration was calculated using the following formula:

[0033]

[0034] Among them, C i+1 for es i+1 The corresponding concentration, C i for es i The corresponding concentration.

[0035] In a preferred example, the present application can be further configured as follows: if the solution concentration exceeds 30%, 30% is taken as the solution concentration.

[0036] In a preferred example, the present application may be further configured to: perform analysis based on the solution type, the temperature value, and the corrected conductivity value to obtain the solution concentration, including:

[0037] If the solution type is sodium chloride and the corrected conductivity value is in the low conductivity range, the solution concentration is calculated using the following formula:

[0038] Solution concentration = 0.0003·es 2 +0.0605 es-0.002

[0039] If the solution type is sodium chloride and the corrected conductivity value is in the high and low conductivity range, the adjacent conductivity value interval [es] in which the corrected conductivity value is located is determined by binary search in the 18°C ​​sodium chloride conductivity value-concentration mapping table. i ,es i+1 ], according to the adjacent conductivity interval [es i ,es i+1 ] in the sodium chloride conductivity value-concentration mapping table to obtain the concentration range [C i ,C i+1 ];

[0040] The solution concentration was calculated using the following formula:

[0041]

[0042] Among them, C i+1 for es i+1 The corresponding concentration, C i for es i The corresponding concentration.

[0043] In a preferred example, the present application can be further configured as follows: if the solution concentration exceeds 30%, 30% is taken as the solution concentration.

[0044] In a preferred example, the present application may be further configured as follows: performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value according to the solution type; including:

[0045] If the solution type is sulfuric acid / nitric acid / hydrochloric acid, the following formula is used for temperature correction:

[0046]

[0047] Where es is the corrected conductivity value, and α1 is the temperature compensation coefficient of the sulfuric acid / nitric acid / hydrochloric acid curve, which is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table.

[0048] In a preferred example, the present application may be further configured to: perform temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value according to the solution type, including:

[0049] If the solution type is sodium chloride, the following formula is used for temperature correction:

[0050]

[0051] Where es is the corrected conductivity value, and α2 is the temperature compensation coefficient of the sodium chloride curve, which is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table.

[0052] In summary, this application includes at least one of the following beneficial technical effects:

[0053] 1. Nano-amorphous magnetic rings have the advantages of high magnetic permeability, low hysteresis loss and excellent temperature stability. Its unique amorphous structure enables it to exhibit excellent performance under the action of a magnetic field, which can significantly improve the measurement accuracy and stability of the sensor;

[0054] 2. Multi-model adaptation: Polynomial fitting or interpolation methods are used for different solution characteristics to balance accuracy and computational efficiency; Temperature compensation: Dynamically corrects conductivity to improve measurement accuracy in low or high temperature environments; Range constraint: Ensures output values ​​are within a reasonable range to avoid abnormal data; Modular design: Each solution algorithm is independent, facilitating expansion or parameter adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a schematic diagram of a coil-magnetic ring wire of a high-precision inductive conductivity sensing system in one embodiment of the present application;

[0056] Figure 2 This is a schematic diagram of the connections of various modules of a high-precision inductive conductivity sensing system according to an embodiment of the present application;

[0057] Figure 3 This is a flowchart of the implementation of the acquisition parameter analysis by the high-precision inductive conductivity sensing system in one embodiment of the present application;

[0058] Figure 4 This is a partial data diagram of a curve array set in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following description of exemplary embodiments of the present application is made in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0060] It should be noted that the terms "first," "second," and the like in the present invention are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than that illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure.

[0061] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0062] The high-precision inductive conductivity sensing system of the present application is described below with reference to the accompanying drawings.

[0063] Reference Figure 1 and Figure 2 This high-precision inductive conductivity sensing system includes a probe unit and a signal processing module, which are electrically connected to each other. The probe unit includes a temperature probe for detecting the solution temperature, an excitation magnetic ring wound with an excitation coil 1, and a receiving magnetic ring wound with a receiving coil 2. The excitation magnetic ring and the receiving magnetic ring are amorphous nano-magnetic rings. The signal processing module is connected to the temperature probe, the excitation magnetic ring, and the receiving magnetic ring. The signal processing module is configured to generate and apply a high-frequency AC signal to the excitation magnetic ring, receive the high-frequency AC signal from the receiving magnetic ring and the temperature probe signal from the temperature probe, process the high-frequency AC signal to obtain a raw conductivity value, process the temperature probe signal to obtain a temperature value, and analyze the raw conductivity value, temperature value, and solution type to obtain an analysis result.

[0064] The excitation and receiving magnetic rings can be coaxial and arranged in parallel, with the spacing adjusted according to the measurement requirements (usually 1-10mm). They can also be arranged in a symmetrical wrapped arrangement: the two magnetic rings are symmetrically embedded on both sides of the probe housing, forming a liquid flow channel in the middle (suitable for measurement in pipelines). It can also be a stacked design: the excitation and receiving magnetic rings are stacked and separated by an insulating isolation layer (compact probe design).

[0065] The excitation coil is wound around the excitation magnetic ring, typically using multi-strand enameled wire (to reduce high-frequency skin effect losses). The number of turns is designed based on the excitation frequency and magnetic field strength requirements (e.g., 50-200 turns). The receiving coil is wound around the receiving magnetic ring using a high-precision, dense winding process to improve signal sensitivity. The number of turns can be higher than the excitation coil (e.g., 200-500 turns). The magnetic ring is secured with a non-magnetic fixture (e.g., a ceramic clip) to prevent mechanical stress from affecting magnetic properties.

[0066] Specifically, the signal processing module includes an excitation signal generating unit, a receiving signal processing unit, a modulation circuit unit and an acquisition unit. The excitation coil lead is connected to the excitation signal generating unit (excitation signal source), and the receiving coil lead is connected to the preamplifier circuit of the receiving signal processing unit; that is, the excitation signal generating unit is directly connected to the excitation coil, and the function of the excitation signal generating unit is to generate a high-frequency AC signal and apply it to the excitation magnetic ring; the function of the receiving signal processing unit is to process the high-frequency AC signal sensed by the receiving coil; the function of the modulation circuit unit is to convert the high-frequency AC signal into a DC voltage signal; the acquisition unit collects and analyzes the DC voltage signal through a single-chip microcomputer to obtain the analysis result.

[0067] Using amorphous nano-magnetic rings as the magnetic core can enhance the magnetic field coupling efficiency, and its high magnetic permeability and low loss characteristics are suitable for high-frequency scenarios. Moreover, the amorphous structure formed by the rapid cooling process of nano-amorphous materials eliminates traditional grain boundary defects. The magnetic domain size is reduced to 1 / 100 of that of traditional silicon steel sheets, making the initial magnetic permeability exceed 200,000 (1kHz), which is two orders of magnitude higher than that of ferrite materials. The isotropic magnetization mechanism reduces the coercive force to below 0.1A / m, and the hysteresis loss is reduced by 90% compared to Permalloy. Measured data show that at an operating frequency of 50kHz, the eddy current loss is only 1.2mW / cm 3 , ensuring that the temperature rise of the sensor during long-term operation does not exceed 0.5°C. Its high magnetic permeability allows the number of coil turns to be reduced by 80%, and its spatial resolution reaches 0.1mm 3 , which can accurately detect the conductivity gradient in the microchannel.

[0068] The excitation signal generator generates a high-frequency AC signal (e.g., 100kHz-1MHz) to drive the excitation coil, producing an alternating magnetic field in the excitation magnetic ring. The conductive fluid being measured generates eddy currents in this alternating magnetic field, the strength of which is proportional to the fluid's conductivity. These eddy currents induce an opposing magnetic field, altering the magnetic flux in the excitation magnetic ring. This in turn induces a secondary high-frequency AC signal in the receiving coil, whose amplitude and phase are also affected by the eddy currents.

[0069] Combine Figure 3 In one embodiment, the analysis result is obtained based on the original conductivity value, temperature value and solution type; including:

[0070] S1. According to the solution type, performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value;

[0071] S2. Analyze and obtain the solution concentration based on the solution type, the temperature value, and the corrected conductivity value.

[0072] S1 includes:

[0073] If the solution type is sulfuric acid / nitric acid / hydrochloric acid, the following formula is used for temperature correction:

[0074]

[0075] If the solution type is sodium chloride, the following formula is used for temperature correction:

[0076]

[0077] Where es is the corrected conductivity value, α1 is the temperature compensation coefficient for the sulfuric acid / nitric acid / hydrochloric acid curves, calculated using linear interpolation from a temperature-temperature compensation coefficient mapping table; α2 is the temperature compensation coefficient for the sodium chloride curve, calculated using linear interpolation from a temperature-temperature compensation coefficient mapping table. The temperature compensation coefficient is expressed in % / °C; the conductivity value is expressed in S / cm; and the temperature is expressed in °C. The temperature-temperature compensation coefficient mapping table uses the standard mapping table from the national standard GBT27503-2011. For example, for sodium chloride, the real-time measured conductivity can be corrected to the standard temperature of 18°C, converted to resistivity, and then the resistivity of different sodium chloride concentrations at 18°C, as specified in the national standard GBT27503-2011, is calculated and processed to obtain the corresponding concentration as the solution concentration.

[0078] S2 includes:

[0079] If the solution type is sulfuric acid, nitric acid or hydrochloric acid, the temperature compensation coefficient is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table.

[0080] A corresponding curve array is matched in the curve array set according to the temperature compensation coefficient, each curve array including a temperature compensation coefficient, a second-order polynomial coefficient, a measuring range and a corresponding conductivity range.

[0081] It is determined whether the corrected conductivity value is within the conductivity range.

[0082] If the solution is within the stated range, the concentration is calculated using the following second-order polynomial:

[0083] Solution concentration = A·es 2 +B·es+C

[0084] Where A, B, and C are the coefficients of the second-order polynomial, and es is the corrected conductivity value;

[0085] If the conductivity range is exceeded, the boundary value of the range corresponding to the boundary value closest to the corrected conductivity value in the conductivity range is taken as the solution concentration.

[0086] Combine Figure 4 , wherein, based on the national standard GBT27503-2011, a temperature-temperature compensation coefficient mapping table of sulfuric acid, nitric acid or hydrochloric acid is pre-established. Based on a large amount of experimental data, the experimental detection data of conductivity and concentration of sulfuric acid, nitric acid or hydrochloric acid solution under the same temperature compensation coefficient are fitted to each curve to obtain the second-order polynomial coefficient corresponding to each curve. Experiments are carried out under different temperatures and temperature compensation coefficients to obtain the second-order polynomial coefficients corresponding to the curves corresponding to different temperature compensation coefficients. The range is matched based on the conductivity range of the experiment to obtain a curve array set.

[0087] Specifically, each curve array contains the temperature compensation coefficient (α), the second-order polynomial coefficients (A, B, C), the range (L low ,L high ) and the corresponding conductivity range (es low ,es high ).

[0088] According to the conductivity es after temperature compensation, determine whether it exceeds the range:

[0089] If es <es low or es>es high , directly take the corresponding range boundary value. If it is within the valid range, use the second-order polynomial fitting calculation:

[0090] Solution concentration = A·es 2 +B·es+C

[0091] Moreover, the calculation results can be constrained within the range (L low ,L high). Thus, the concentration calculation of sulfuric acid, nitric acid and hydrochloric acid solutions based on temperature and conductivity values ​​is completed. Directly taking the range boundary value can sacrifice the accuracy of out-of-range measurements while ensuring output stability and safety, avoiding greater risks caused by model failure or extrapolation errors. It can prevent abnormal value interference. Out-of-range measurement values ​​may be caused by sensor noise, environmental interference or system anomalies; taking the boundary value can avoid extreme values ​​from damaging the control system or subsequent processes; in addition, it simplifies the fault-tolerant logic, eliminates the need for complex extrapolation algorithms or exception handling, and directly clamping to the boundary value is easier to implement and more robust. For example, the conductivity of sulfuric acid will first increase and then decrease as the concentration increases. The range boundary may correspond to the conductivity extreme point. After exceeding the limit, the relationship between concentration and conductivity may be reversed.

[0092] If the solution type is sodium hydroxide, then the adjacent temperature interval [T i ,T i+1 ], calculate the temperature weight w based on the temperature value and the adjacent temperature interval t .

[0093] In the conductivity interval corresponding to the adjacent temperature interval, search for the adjacent conductivity interval where the corrected conductivity value is located along the conductivity decreasing direction. j ,es j+1 ], according to the adjacent conductivity interval [es j ,es j+1 ] in the sodium hydroxide temperature-concentration-conductivity value mapping table to obtain the concentration range [C j ,C j+1 ];

[0094] The solution concentration was calculated using the following formula:

[0095] Solution concentration = C j+1 -(C j+1 -C j )·w es

[0096] Among them, C j+1 for es j+1 The corresponding concentration, C j for es j The corresponding concentration, w es is the weight of the corrected conductivity value in the interval.

[0097] It is understandable that the temperature-concentration-conductivity value mapping table is also established based on the table data in the aforementioned national standard GBT27503-2011. Taking sodium hydroxide 20-40% as an example, it relies on the two-dimensional table temperature-concentration-conductivity value mapping table qx_naoh_es to store the conductivity values ​​at different temperatures (0-100°C) and concentrations (20-40%). The adjacent intervals of the current temperature [T i ,T i+1 ], calculate the temperature weight w t In the corresponding temperature range, search for the nearest conductivity interval along the decreasing direction of conductivity [es j ,es f+1 ]. The concentration is then calculated by linear interpolation:

[0098] Concentration = C j+1 -(C j+1 -C j )·w es

[0099] The concentration of the sodium hydroxide solution can then be calculated based on the detected temperature and conductivity values.

[0100] If the solution type is sodium chloride and the corrected conductivity value is in the low conductivity range, the solution concentration is calculated using the following formula:

[0101] Solution concentration = 0.0003·es 2 +0.0605 es-0.002

[0102] If the solution type is sodium chloride and the corrected conductivity value is in the high and low conductivity range, the adjacent conductivity value interval [es] in which the corrected conductivity value is located is determined by binary search in the 18°C ​​sodium chloride conductivity value-concentration mapping table. i ,es i+1 ], according to the adjacent conductivity interval [es i ,es i+1 ] in the sodium chloride conductivity value-concentration mapping table to obtain the concentration range [C i ,C i+1 ];

[0103] The solution concentration was calculated using the following formula:

[0104]

[0105] Among them, C i+1 for es i+1 The corresponding concentration, C i for es i The corresponding concentration.

[0106] It should be noted that the 18°C ​​sodium chloride conductivity-concentration mapping table is also based on the data in the table in the aforementioned national standard GBT27503-2011. The low conductivity range is es < 28.38 mS / cm, and the high conductivity range is es ≥ 28.38 mS / cm. Taking 0-30% sodium chloride as an example, if the solution concentration exceeds 30%, 30% is used as the solution concentration, constraining the final concentration to be within the 0-30% range.

[0107] Through the above algorithm, the sensor can output conductivity, temperature, TDS (converted through conductivity), salinity (sodium chloride concentration) and various acid and alkali concentrations in real time to meet the needs of industrial process control and water quality monitoring.

[0108] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, dedicated ASICs (application specific integrated circuits), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0109] These computer programs (also referred to as programs, software, software applications, or code) include machine instructions for a programmable processor and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and / or device (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0110] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0111] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0112] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved. This is not a limitation herein.

[0113] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. High-precision inductive conductivity sensing system, characterized by: include: The probe part includes a temperature probe for detecting the temperature of the solution, an excitation magnetic ring wound with an excitation coil, and a receiving magnetic ring wound with a receiving coil; A signal processing module connected to the temperature probe, the excitation magnetic ring and the receiving magnetic ring, the signal processing module is used to generate and apply a high-frequency AC signal to the excitation magnetic ring, receive the high-frequency AC signal from the receiving magnetic ring and the temperature probe signal from the temperature probe, and, Processing the high-frequency AC signal to obtain an original conductivity value, processing the temperature probe signal to obtain a temperature value, and performing analysis based on the original conductivity value, temperature value, and solution type to obtain an analysis result; Wherein, the excitation magnetic ring and the receiving magnetic ring are amorphous nano-magnetic rings.

2. The high-precision inductive conductivity sensing system according to claim 1, wherein: An analysis result is obtained based on the original conductivity value, temperature value and solution type; including: According to the solution type, performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value; The solution concentration is obtained by analyzing the solution type, the temperature value and the corrected conductivity value.

3. The high-precision inductive conductivity sensing system according to claim 2, wherein: The solution concentration is obtained by analyzing based on the solution type, the temperature value and the corrected conductivity value, including: If the solution type is sulfuric acid, nitric acid or hydrochloric acid, the temperature compensation coefficient is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table; Matching a corresponding curve array in a curve array set according to the temperature compensation coefficient, each curve array including a temperature compensation coefficient, a second-order polynomial coefficient, a measuring range and a corresponding conductivity range; determining whether the corrected conductivity value is within the conductivity range; If the solution is within the stated range, the concentration is calculated using the following second-order polynomial: Solution concentration = A·es 2 +B·es+C Where A, B, and C are the coefficients of the second-order polynomial, and es is the corrected conductivity value; If the conductivity range is exceeded, the boundary value of the range corresponding to the boundary value closest to the corrected conductivity value in the conductivity range is taken as the solution concentration.

4. The high-precision inductive conductivity sensing system according to claim 2, wherein: The solution concentration is obtained by analyzing based on the solution type, the temperature value and the corrected conductivity value, including: If the solution type is sodium hydroxide, then the adjacent temperature interval [T i ,T i+1 ], calculate the temperature weight w based on the temperature value and the adjacent temperature interval t . In the conductivity interval corresponding to the adjacent temperature interval, search for the adjacent conductivity interval where the corrected conductivity value is located along the conductivity decreasing direction. j ,es j+1 ], according to the adjacent conductivity interval [es j ,es j+1 ] in the sodium hydroxide temperature-concentration-conductivity value mapping table to obtain the concentration range [C j ,C j+1 ]; The solution concentration was calculated using the following formula: Solution concentration = C j+1 -(C j+1 -C j )·w es Among them, C j+1 for es j+1 The corresponding concentration, C j for es j The corresponding concentration, w es is the weight of the corrected conductivity value in the interval.

5. The high-precision inductive conductivity sensing system according to claim 2, wherein: The solution concentration is obtained by analyzing based on the solution type, the temperature value and the corrected conductivity value, including: If the solution type is sodium chloride and the corrected conductivity value is in the low conductivity range, the solution concentration is calculated using the following formula: Solution concentration = 0.0003·es 2 +0.0605 es-0.002 If the solution type is sodium chloride and the corrected conductivity value is in the high and low conductivity range, the adjacent conductivity value interval [es] in which the corrected conductivity value is located is determined by binary search in the 18°C ​​sodium chloride conductivity value-concentration mapping table. i ,es i+1 ], according to the adjacent conductivity interval [es i ,es i+1 ] in the sodium chloride conductivity value-concentration mapping table to obtain the concentration range [C i ,C i+1 ]; The solution concentration was calculated using the following formula: Among them, C i+1 for es i+1 The corresponding concentration, C i for es i The corresponding concentration.

6. The high-precision inductive conductivity sensing system according to claim 5, wherein: If the solution concentration exceeds 30%, 30% is taken as the solution concentration.

7. The high-precision inductive conductivity sensing system according to claim 2, wherein: According to the solution type, performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value; comprising: If the solution type is sulfuric acid / nitric acid / hydrochloric acid, the following formula is used for temperature correction: Where es is the corrected conductivity value, and α1 is the temperature compensation coefficient of the sulfuric acid / nitric acid / hydrochloric acid curve, which is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table.

8. The high-precision inductive conductivity sensing system according to claim 2, wherein: According to the solution type, performing temperature correction on the original conductivity value based on the temperature value to obtain a corrected conductivity value includes: If the solution type is sodium chloride, the following formula is used for temperature correction: Where es is the corrected conductivity value, and α2 is the temperature compensation coefficient of the sodium chloride curve, which is calculated by linear interpolation based on the temperature-temperature compensation coefficient mapping table.

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