A temperature correction method for a chloride ion sensor

Abstract

The application discloses a temperature correction method of a chlorine ion sensor, and comprises the following steps: S1, a microarray type chlorine ion sensor with a pre-embedded concrete protective layer is arranged in an array mode, and a collection scheme is determined; S2, abnormal detection of an MnO2 reference electrode in the microarray type chlorine ion sensor; S3, correction of a potential value collected by the microarray type chlorine ion sensor; S4, according to a Nernst potential-concentration logarithmic linear relationship, coefficients of each term of a standard equation under a control temperature in concrete are determined; S5, according to the Nernst potential-concentration logarithmic linear relationship, a temperature compensation coefficient is determined; and S6, a chlorine ion concentration distribution at different depths in concrete is calculated by using a sensor potential after temperature compensation. The application can effectively compensate the influence of temperature on the measurement result of the chlorine ion sensor, effectively overcome abnormal interference of potential in the measurement process of the sensor itself, and improve the precision and reliability of the sensor.

Description

Technical Field

[0001] This invention pertains to temperature calibration methods, specifically a temperature calibration method for a chloride ion sensor. Background Technology

[0002] During long-term service, marine concrete is corroded by substances such as chloride ions in the external environment, leading to steel corrosion and reduced concrete strength, thus affecting its durability and structural safety. Chloride ions are one of the most significant factors affecting concrete corrosion. Therefore, real-time monitoring of the distribution and evolution of chloride ion concentration inside concrete is of great importance for effectively assessing and providing early warnings regarding the durability and safety of concrete structures.

[0003] Traditional methods for detecting chloride ions mainly include on-site core sampling combined with chemical titration, ion chromatography, resistivity methods, and electrochemical non-destructive testing methods. Among these, electrochemical non-destructive testing of chloride ion concentration in concrete primarily involves detecting the chloride ion concentration in concrete using embedded chloride ion sensors. These sensors mainly consist of a chloride-sensitive selective electrode and a reference electrode providing a stable reference potential. Compared to other traditional detection methods, chloride ion sensors offer advantages such as being non-destructive, real-time, efficient, and accurate, and have been increasingly applied to real-time monitoring of chloride ions in concrete. However, existing chloride ion sensors are significantly affected by temperature changes, and the multi-probe arrangement of array sensors greatly increases detection errors due to temperature influences, further impacting the timely and effective assessment and protection against concrete corrosion. Summary of the Invention

[0004] Purpose of the invention: In order to overcome the shortcomings of the existing technology, the purpose of this invention is to provide a temperature calibration method for a chloride ion sensor with high detection accuracy and reliability.

[0005] Technical solution: The present invention provides a temperature calibration method for a chloride ion sensor, comprising the following steps:

[0006] S1. The miniature array chloride ion sensor embedded in the concrete protective layer adopts an array arrangement to determine the acquisition scheme;

[0007] S2. Anomaly detection of the MnO2 reference electrode in a miniature array chloride ion sensor;

[0008] S3, correction of potential values ​​acquired by miniature array chloride ion sensor;

[0009] S4. Determine the coefficients of the standard equations for concrete at the control temperature based on the Nernst potential-concentration logarithmic linear relationship.

[0010] S5. Determine the temperature compensation coefficient based on the linear relationship between Nernst potential and concentration.

[0011] S6, calculate the chloride ion concentration distribution at different depths in the concrete by using the temperature-compensated sensor potential.

[0012] Further, in step S1, the microarray-type chloride ion sensor comprises a lead wire, a temperature sensor, an MnO2 reference electrode, an Ag / AgCl selective electrode, and an insulating protective filling material. The Ag / AgCl selective electrode is arranged in multiple layers, and a reference electrode is arranged at the center of each layer of the Ag / AgCl selective electrode. The Ag / AgCl selective electrode, the MnO2 reference electrode, and the temperature sensor are connected to the lead wire through a PCB board, and the lead wire is connected to an external mobile device.

[0013] Further, the working interface at the front end of the Ag / AgCl selective electrode has an inclination of 50-60° with respect to the horizontal plane.

[0014] Further, in step S1, the collection scheme is as follows: the MnO2 reference electrodes are paired two by two to form a detection loop, and the time sequence data of the open circuit potential matrix of the MnO2 reference electrodes is recorded. The Ag / AgCl selective electrode and the adjacent MnO2 reference electrode form a potential collection loop, and the time sequence data of the sensor potential matrix E Ag / AgCl is collected.

[0015]

[0016] wherein E RiRj represents the time sequence series of the open circuit potential between the reference electrode Ri and the reference electrode Rj at different times, Ri is connected to the positive terminal, and Rj is connected to the negative terminal.

[0017]

[0018] wherein E SiRj represents the time sequence series of the open circuit potential between the selective electrode Si and the reference electrode Rj at different times.

[0019] Further, in step S2, the abnormality detection is as follows: according to the time sequence data of the potential between each MnO2 reference electrode in the open circuit potential matrix of the MnO2 reference electrodes, the potential fluctuation value of each independent MnO2 reference electrode is calculated, and if the value is greater than 30 mV, the reference electrode is determined to be abnormal.

[0020] Further, in step S3, according to the abnormality detection result of the MnO2 reference electrode, the average potential of the remaining qualified reference electrodes after removing the abnormal electrodes is used as the unified reference potential of the sensor, and the collected sensor potential matrix is adjusted to the sensor potential with the unified reference potential as the reference.

[0021] Further, step S4 comprises the following steps:

[0022] S41, calculate the Nernst equation coefficient under the control temperature T0, bury the sensor in the concrete doped with c = [c1, c2, … cn] mol / L calibration chlorine salt concentration, let the potential reach equilibrium, place in the constant temperature device of control temperature T0, obtain the sensor potential matrix E, according to the Nernst potential-concentration logarithmic linear relationship, use linear regression fitting E and lg[c], obtain the control potential matrix E 0 Nernst slope matrix Wherein, R is the ideal gas constant, the value is 8.314 J / (mol·K), n is the number of electron transfer, F is the Faraday constant, the value is about 96485 C / mol;

[0023] S42, outlier cleaning, according to the 3σ principle, calculate E 0 The average value of k And the standard deviation σ k , traverse the sensor points to determine (i = 1, 2, … 16) is an outlier, calculate the coefficient matrix after excluding outliers Substitute to form the Nernst standard equation under the control temperature

[0024] Further, the Nernst potential-concentration logarithmic linear relationship is

[0025]

[0026] Wherein, E is the sensor potential matrix, E 0 is the control potential matrix, R is the ideal gas constant, the value is 8.314 J / (mol·K), n is the number of electron transfer, F is the Faraday constant, the value is about 96485 C / mol, T0 is the control temperature, c is the calibration chlorine salt concentration.

[0027] Further, S5 includes the following steps:

[0028] S51, use the sensor potential matrix to compensate the temperature, determine the Nernst potential-concentration response relationship after temperature correction: E comp =E+α(T-T0), wherein E comp is the corrected potential, α is the temperature compensation coefficient, T is the real-time temperature, T0 is the control temperature;

[0029] S52, according to the corrected potential E comp Comply with the Nernst standard equation to obtain Through the linear relationship between actual measurement E and T, the temperature compensation coefficient α is obtained by fitting, wherein E is the sensor potential matrix, is E0 E is the mean value of the potential matrix of the sensor, 0 E is the potential matrix of the sensor, k is the Nernst slope matrix, and c is the calibrated chlorine salt concentration.

[0030] Further, the step S6 comprises the following steps:

[0031] Step S61, the calibrated potential matrix is calculated according to the sensor potential matrix E obtained by actually embedding the sensor in the concrete, the real-time temperature T collected by the temperature sensor, and the temperature-corrected Nernst potential-concentration response relationship;

[0032] Step S62, the abnormal potential is found and removed layer by layer, and the mean value of the removed potential is taken as the representative value of the potential of each layer. If four abnormal values appear in the traversal layer, the two closest potential mean values of the representative value of the measured potential of the previous layer are taken as the representative value of the potential of the layer. The chlorine ion concentration matrix of different layers is calculated according to the standard temperature Nernst equation transformation.

[0033] Step S63, the chlorine ion mass fraction c of each layer of concrete is calculated according to the concentration conversion formula ％ wherein, c layer is the chlorine ion concentration matrix of different layers, M Cl is the relative atomic mass of chlorine, S is the saturation degree, φ s is the porosity of concrete, and ρ c is the density of concrete.

[0034] Beneficial effects: compared with the prior art, the temperature correction method of the microarray type chlorine ion sensor for detecting chlorine ions in concrete based on the Nernst potential-concentration logarithmic linear relationship has the following significant characteristics: firstly, the potential matrix of the sensor is corrected by abnormal detection of the reference electrode potential, then the standard Nernst equation expression is obtained by controlling the temperature based on the Nernst potential-concentration logarithmic linear relationship, further, the temperature compensation parameter of the sensor potential is obtained by adjusting the temperature at a fixed concentration, and then the temperature-compensated sensor potential data is obtained, finally, the chlorine ion concentration distribution at each selected electrode of the sensor after temperature correction is calculated through the above standard Nernst equation expression; the influence of temperature on the measurement result of the chlorine ion sensor can be effectively compensated, the abnormal interference of the sensor in the measurement process itself is effectively overcome, the precision and reliability of the sensor are improved, and effective support is provided for nondestructive detection of chlorine ions in concrete structures and structure damage warning. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 is the flowchart of the present application;

[0036] ​Figure 2 is a structural schematic diagram of a microarray chlorine ion sensor of the present application;

[0037] Figure 3 is a connection schematic diagram of the MnO2 reference electrode 3 and the Ag / AgCl selective electrode 4 of the present application. DETAILED DESCRIPTION

[0038] A temperature correction method of a chlorine ion sensor, comprising the following steps:

[0039] S1, the microarray chlorine ion sensor with pre-embedded concrete protective layer is arranged in an array, and the collection scheme is determined according to the arrangement form.

[0040] The specific arrangement form of the array chlorine ion sensor used is shown in Figures 2-3 The main component members include 4×4 array distributed Ag / AgCl selective electrodes 4, 2×2 array distributed MnO2 reference electrodes 3, temperature sensors 2, wires 1 and insulating protective filling materials 5. The wires 1 are connected to external collection communication equipment, and the insulating protective filling materials 5 wrap the selective electrodes, the reference electrodes and the temperature sensors to avoid interference from the outside world. The sensor considers that different layers of Ag / AgCl selective electrodes 4 are arranged in the direction of vertical invasion of chlorine ions, and adopts a 4-layer Ag / AgCl selective electrode 4 uniform arrangement form to detect chlorine ion concentration at different depths in concrete and predict chlorine ion diffusion. Four Ag / AgCl selective electrodes 4 are arranged in each layer to effectively solve the failure of part of the Ag / AgCl selective electrodes 4. In order to avoid the influence of the upper electrode on the diffusion of chlorine ions to the lower electrode, the front end of each layer of selective electrode is ensured to have a 60° inclination angle with the horizontal plane. In order to reduce the influence of the path of the Ag / AgCl selective electrode 4 and the MnO2 reference electrode 3 on the measurement results, the MnO2 reference electrode 3 is also arranged in an array to ensure that each MnO2 reference electrode 3 has the same path distance from the adjacent four Ag / AgCl selective electrodes 4. The detection end of each layer of Ag / AgCl selective electrode 4 extends 7mm out of the working interface of the sensor, the contact end of the MnO2 reference electrode 3 is flush with the working interface, and the rear side of the sensor is connected with the Ag / AgCl selective electrode 4, the MnO2 reference electrode 3 and the temperature sensor 2 by using a PCB board.

[0041] The half-cell loop collection scheme is determined according to the spatial arrangement of the sensor electrodes in step S1. The MnO2 reference electrode 3, as an important component for providing a stable potential reference, plays an important role in accurately evaluating the chlorine ion concentration in concrete. The MnO2 reference electrode 3 has a long-term potential stability of less than 10mV / year. According to this feature, abnormal reference electrodes are determined through mutual inspection of the reference electrode potential, and the MnO2 reference electrodes 3 are paired to form a collection loop to collect the open circuit potential matrix between the MnO2 reference electrodes 3 The Ag / AgCl selective electrode 4 is affected by the concentration of chloride ions, resulting in a Nernst relationship between the electrode reaction potential and the concentration of chloride ions. The Ag / AgCl selective electrode 4 and the adjacent MnO2 reference electrode 3 form a sensor potential acquisition circuit to acquire a sensor potential matrix E Ag / AgCl During the acquisition process, the mutual electric field interference between different acquisition channels can be avoided by acquiring them one by one. The balance of potential is achieved before each acquisition.

[0042] The acquisition scheme specifically includes:

[0043] Step S11, the MnO2 reference electrodes 3 are paired to form a detection circuit, and the open circuit potential matrix E between the MnO2 reference electrodes 3 is recorded.

[0044]

[0045] wherein E RiRj represents the open circuit potential time series between the reference electrodes Ri and Rj at different times t1, t2, … t n , Ri is connected to the positive terminal, and Rj is connected to the negative terminal. According to the open circuit potential characteristics, the right upper half of the acquisition circuit selection potential matrix is acquired, and the left lower corner is determined according to E ij =-E ji .

[0046] Step S12, the equidistant measurement is used to form an Ag / AgCl selective electrode 4 and an adjacent MnO2 reference electrode 3 potential acquisition circuit, and the time series data of the sensor potential matrix E Ag / AgCl is acquired.

[0047]

[0048] wherein E SiRj represents the open circuit potential time series between the selective electrode Si and the reference electrode Rj at different times t1, t2, … t n .

[0049] S2, abnormal detection of the MnO2 reference electrode 3 in the microarray chlorine ion sensor. According to the potential time series data E RiRj between the reference electrodes in the open circuit potential matrix , the independent reference electrode potential fluctuation e R is calculated, and the calculation process mainly includes the following steps:

[0050] Step S21, determining the overall potential fluctuation of the two electrodes: through the data variance of the potential balance of the E RiRj time series, the overall potential fluctuation e RiRjThe potential balance time can be determined by observing the potential fluctuation of the MnO2 reference electrode 3 for a long time, and the maximum time required for the MnO2 reference electrode embedded in the concrete to reach balance except for the obviously failed electrodes is determined by batch tests. The potential balance time of the reference electrode in the method is determined.

[0051] In step S22, according to the error transfer rule, the independent variable error is equivalent to the independent reference electrode potential fluctuation, and the relationship between the overall fluctuation and the potential fluctuation of each independent reference electrode is determined: e RiRj Ri + e Rj + Δ i_j , wherein e Ri and e Rj are the potential fluctuations of the reference electrodes Ri and Rj, and Δ i_j is the accidental fluctuation during measurement.

[0052] In step S23, the potential fluctuation value e R of each independent reference electrode is determined: based on the principle that the accidental error gradually decreases over time, the overall accidental error S is defined as the objective function, the overall minimum accidental error is established, and the potential fluctuation value of each independent reference electrode is calculated under the constraint condition:

[0053]

[0054] The partial derivatives of the least squares method are set to zero and solved simultaneously:

[0055]

[0056] The potential fluctuation value e R of each independent reference electrode is obtained: [e R1 , e R2 , e R3 , e R4 ], according to the reference electrode potential stability ± 15 mV specified in 4.3 of GB / T 7387-1999 Technical Conditions for Reference Electrodes for Ships, i.e. the potential fluctuation is 30 mV, if e Ri > 30 mV, it is determined that the MnO2 reference electrode 3 is abnormal.

[0057] S3, the microarray chlorine ion sensor collects potential value correction. The average potential of the remaining qualified MnO2 reference electrode 3 after removing the abnormal electrode is used as the unified reference potential of the sensor, and the sensor potential matrix E Ag / AgCl in step S12 is adjusted to take the unified reference potential as the reference. The main method is: correcting the sensor potential E = E Ag / AgCl + Δ:

[0058] ​

[0059] wherein is the potential difference of the reference electrode Ri potential to the sensor unified reference potential. Since the abnormal MnO2 reference electrode 3 cannot provide long-term reference electrode function, but due to the record of the mutual potential between the MnO2 reference electrodes 3, the potential of the 4 Ag / AgCl selective electrodes 4 corresponding to the abnormal reference can be converted to the unified reference potential through potential transmission, so the correction to the unified reference potential is divided into two categories:

[0060] If Ri is a normal MnO2 reference electrode 3, then:

[0061]

[0062] wherein U is the normal MnO2 reference electrode 3 number set, is the equilibrium potential of the step S11 sequence E RiRj , n is the number of normal MnO2 reference electrodes 3;

[0063] If Ri is an abnormal MnO2 reference electrode 3, then:

[0064]

[0065] wherein E RiRj is the potential value of the open-circuit potential time series between the selective electrode Si and the reference Rj in step S11 at the calculation moment.

[0066] S4, determine the coefficients of the standard equation under the control temperature in the concrete according to the Nernst potential-concentration logarithmic linear relationship.

[0067] S41, calculate the Nernst equation coefficient under the control temperature T0. Embed the sensor in the concrete mixed with c = [c1, c2, … cn] mol / L calibration chloride salt concentration, and the potential reaches equilibrium, and place it in a constant temperature device at a control temperature T0, and obtain the sensor potential matrix E. According to the Nernst principle fit E and lg[c] by linear regression, and obtain the control potential matrix E 0 and the Nernst slope matrix R is the ideal gas constant, whose value is 8.314 J / (mol·K), n is the number of electron transfer, and F is the Faraday constant, whose value is about 96485 C / mol.

[0068] S42, outlier cleaning. According to the 3σ principle, calculate the mean value 0 and the standard deviation of k σ k , traverse each point of the sensor to determine (i = 1, 2, … 16) are outliers, and the coefficient matrix is calculated by taking the average value after removing the outliers Substitute to form the Nernst standard equation at the control temperature

[0069] S5, determine the coefficients of the temperature compensation equation in concrete according to the Nernst potential-concentration logarithmic linear relationship. Fix the chloride ion concentration c of the sensor embedded in the concrete, and gradually increase the temperature to ensure that the overall temperature of the sensor reaches Ti (i = 1, 2, … n, the number of calibration temperatures n can be determined according to the test), and the temperature can refer to the temperature change in a year in the concrete use environment. Calculate the modified sensor potential matrix E used in step S3 in the present application, and determine the coefficients in the Nernst potential-concentration relationship using temperature correction. The specific method includes:

[0070] S51, according to the temperature compensation of the modified sensor potential E used in step S3, determine the temperature corrected Nernst potential-concentration response relationship: E comp = E + a (T - T0), where E comp is the modified potential, a is the temperature compensation coefficient, and T is the real-time temperature;

[0071] S52, calculate the temperature compensation coefficient a, according to the modified potential E comp complies with the Nernst standard equation in step S41 of the present application That is:

[0072]

[0073] Derivation:

[0074]

[0075] The temperature compensation coefficient a is obtained by fitting the linear relationship between the actual measurement E and T. Wherein, E is the sensor potential matrix, is the average value of E 0 , is the average value of k, and c is the calibration chloride concentration.

[0076] S6, calculate the chloride ion concentration distribution at different depths in the actual concrete using the temperature compensated sensor potential.

[0077] S61, calculate the calibration potential matrix according to the measured potential. According to the actual embedded sensor in the concrete, obtain the modified sensor potential matrix E according to step S31 in the present application, and the real-time temperature T collected by the temperature sensor, combined with the temperature corrected Nernst potential-concentration response relationship E comp= E + a (T - T0) to obtain the calibration potential matrix:

[0078]

[0079] S62, calculate the different layer chloride ion concentration. According to the reference in the present application step S42 outlier cleaning method layer by layer to find and eliminate abnormal potential, after the elimination of the average potential as the representative value of each layer potential If the traversal layer appears 4 outliers, take the nearest two potential mean value as the representative value of the layer potential according to the standard temperature Nernst equation in the present application step S42 Transformed to get E layer replace Calculate the different layer chloride ion concentration matrix: c layer = [c layer1 c layer2 c layer3 c layer4 ].

[0080] S63, according to the concentration conversion formula Calculate the mass fraction of chloride ion in each layer of concrete. Wherein: M Cl is the relative atomic mass of chlorine, S is the saturation degree, φ s is the porosity of concrete, ρ c is the density of concrete.

Claims

1. A temperature correction method for a chloride ion sensor, characterized by, It comprises the following steps: S1, the microarray type chloride ion sensor with embedded concrete protective layer is arranged in an array mode to determine the collection scheme; S2, abnormal detection of the MnO2 reference electrode (3) in the microarray type chloride ion sensor; S3, correction of the potential value collected by the microarray type chloride ion sensor; S4, determination of the coefficients of the standard equation under the control temperature in the concrete according to the Nernst potential-concentration logarithmic linear relationship; S5, determination of the temperature compensation coefficient according to the Nernst potential-concentration logarithmic linear relationship; S6, calculation of the chloride ion concentration distribution at different depths in the concrete by using the sensor potential after temperature compensation; The step S6 comprises the following steps: Step S61, the calibrated potential matrix is calculated according to the sensor potential matrix E obtained from the concrete in which the sensor is actually embedded, the real-time temperature T collected by the temperature sensor, and the temperature-corrected Nernst potential-concentration response relationship; Step S62, abnormal potentials are found and removed layer by layer, and the average value of the potentials after removal is taken as the representative value of the potentials of each layer; if four abnormal values appear in the traversal layer, the two closest average values of the representative values of the measured potentials of the layer in the previous measurement are taken as the representative values of the potentials of the layer; the chloride ion concentration matrix of different layers is calculated according to the standard temperature Nernst equation transformation. Step S63, according to the concentration conversion formula , the mass fraction of chloride ions in each layer of concrete is calculated , wherein, is the chloride ion concentration matrix of different layers, is the relative atomic mass of chlorine, S is the saturation degree, is the porosity of concrete, is the density of concrete.

2. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: In the step S1, the microarray type chloride ion sensor comprises a lead wire (1), a temperature sensor (2), an MnO2 reference electrode (3), an Ag / AgCl selective electrode (4), and an insulating protective filling material (5); the Ag / AgCl selective electrode (4) is arranged in multiple layers, and the reference electrode (3) is arranged at the center of each layer of Ag / AgCl selective electrode (4); the Ag / AgCl selective electrode (4), the MnO2 reference electrode (3), and the temperature sensor (2) are connected to the lead wire (1) through a PCB board; and the lead wire (1) is connected to an external mobile device.

3. A temperature correction method for a chloride ion sensor according to claim 2, characterized in that: The working interface at the front end of the Ag / AgCl selective electrode (4) has an inclination of 50-60° with the horizontal plane.

4. The temperature correction method of a chloride ion sensor according to claim 2, characterized by: In the step S1, the acquisition scheme is as follows: the MnO2 reference electrodes (3) are paired to form a detection loop, and the open circuit potential matrix between the MnO2 reference electrodes (3) is recorded ; the equidistant measurement is used to form an Ag / AgCl selective electrode (4) and an adjacent MnO2 reference electrode (3) potential acquisition loop, and the time sequence data of the sensor potential matrix is acquired. wherein, represents the open circuit potential time series between reference electrode Ri and reference electrode Rj at different times, Ri is connected to the positive terminal and Rj is connected to the negative terminal; wherein, represents the open circuit potential time series between the selected electrode Si and the reference electrode Rj at different times.

5. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: In the step S2, the abnormal detection is based on the potential time sequence data between the MnO2 reference electrodes (3) in the open circuit potential matrix between the MnO2 reference electrodes (3), the potential fluctuation value of each independent MnO2 reference electrode (3) is calculated, and if it is greater than 30 mV, it is determined that the reference electrode is abnormal.

6. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: In the step S3, according to the abnormal detection result of the MnO2 reference electrode (3), the average potential of the remaining qualified reference electrodes after removing the abnormal electrodes is taken as the unified reference potential of the sensor, and the collected sensor potential matrix is adjusted to the sensor potential with the unified reference potential as the reference.

7. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: The step S4 comprises the following steps: S41, calculate the Nernst equation coefficient under the control temperature T0, bury the sensor in the concrete doped with c = [c1, c2, … cn] mol / L calibration chlorine salt concentration, let the potential reach equilibrium, place in the constant temperature device of control temperature T0, obtain the sensor potential matrix E, according to the linear relationship between Nernst potential and concentration logarithm, use linear regression to fit E and , obtain the control potential matrix and the Nernst slope matrix k= , wherein R is the ideal gas constant, the value is 8.314 J / (mol·K), n is the number of electron transfer, F is the Faraday constant, the value is 96485 C / mol; S42, outlier cleaning, according to the principle of 3σ, calculate The mean value of k , And the standard deviation , , traverse each point of the sensor to determine , (i=1, 2, …16) is an outlier, and the coefficient matrix is calculated after removing the outliers , Substitute to form the Nernst standard equation at the control temperature .

8. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: The Nernst potential-concentration logarithmic linear relationship is wherein E is the sensor potential matrix, is the control potential matrix, R is the ideal gas constant with a value of 8.314 J / (mol-K), n is the number of electrons transferred, F is the Faraday constant with a value of 96485 C / mol, T0is the control temperature, and c is the calibration chlor-alkali concentration.

9. The temperature correction method of a chloride ion sensor according to claim 1, characterized by: The step S5 comprises the following steps: S51, temperature compensation is performed by using the sensor potential matrix to determine the temperature-corrected Nernst potential-concentration response relationship: wherein is the corrected potential, is the temperature compensation coefficient, T is the real-time temperature, and T0 is the control temperature; S52, Based on the corrected potential Obtained according to the Nernst standard equation The temperature compensation coefficient is obtained by fitting the linear relationship between E and T through actual measurement. Where E is the sensor potential matrix, for The mean, To control the potential matrix, Let be the mean of k, k be the Nernst slope matrix, and c be the calibrated chloride concentration.

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