Intelligent electric valve fault diagnosis system

Abstract

The invention discloses an intelligent electric valve fault diagnosis system, and relates to the technical field of intelligent electric valve fault diagnosis, the intelligent electric valve fault diagnosis system comprises a soaking water source acquisition module, an intelligent monitoring processing module, a corrosion result evaluation module and an intelligent fault diagnosis execution module, the soaking water source acquisition module is used for obtaining soaking water source water quality data and flow velocity data; the intelligent monitoring and processing module is used for standardizing the water quality data and the flow velocity data of the soaking water source, calculating the corrosion degree weight of the standardized data to the electric valve, obtaining the corrosion degree of the electric valve in the soaking water source through a weighted summation method, and constructing a corrosion degree diagnosis model; the corrosion result evaluation module is used for analyzing water quality data and flow velocity data of the soaking water source and evaluating a corrosion result of the soaking water source to the electric valve; and the intelligent fault diagnosis execution module is used for receiving a corrosion result of the soaking water source on the electric valve, transmitting a diagnosis result to the client and taking corresponding measures to deal with the corrosion result.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent electric valve fault diagnosis, and specifically to an intelligent electric valve fault diagnosis system. Background Technique

[0002] In the process of industrial automation, intelligent electric valves are widely used in many fields, such as petrochemical industry, electric power, urban water supply control, etc. Their operation stability is crucial for production. Traditional electric valve fault diagnosis mostly relies on manual regular inspections and experience judgments, which have problems such as untimely detection and low accuracy. With the rapid development of sensor technology, the Internet of Things, big data analysis, and artificial intelligence, it provides technical support for the intelligent electric valve fault diagnosis system. This system can collect multi-dimensional operation data of the electric valve in real time and use advanced algorithms for precise analysis, so as to achieve fast and accurate fault diagnosis and prediction, effectively improving the safety and efficiency of industrial production;

[0003] Although the existing intelligent electric valve fault diagnosis systems have made great progress, there are still some problems to be optimized. In the urban water supply system, the electric valve is immersed in water for a long time, which causes the electric valve to be corroded. However, the existing intelligent electric valve fault diagnosis systems cannot monitor the corrosion degree of the electric valve in real time, and the normal opening and closing functions of the valve are interfered, resulting in abnormal urban water flow distribution and affecting the normal water supply to citizens. Summary of the Invention

[0004] To achieve the above objectives, the present invention is realized through the following technical solutions: an intelligent electric valve fault diagnosis system, including an immersion water source acquisition module, an intelligent monitoring and processing module, a corrosion result evaluation module, and an intelligent fault diagnosis execution module;

[0005] The immersion water source acquisition module is used to obtain the water quality data and water flow rate data of the immersion water source;

[0006] The intelligent monitoring and processing module is divided into a water source data standardization unit, a water source data weight calculation unit, a corrosion degree diagnosis unit, and a corrosion degree model construction unit. Among them, the water source data standardization unit is used to standardize the water quality data and water flow rate data of the immersion water source; the water source data weight calculation unit is used to calculate the weight of the standardized data on the corrosion degree of the electric valve; the corrosion degree diagnosis unit is used to obtain the corrosion degree of the electric valve in the immersion water source through the weighted summation method; the corrosion degree model construction unit is used to construct a corrosion degree diagnosis model;

[0007] The corrosion result evaluation module analyzes the water quality data and water flow rate data of the immersion water source and evaluates the corrosion result of the immersion water source on the electric valve;

[0008] The intelligent fault diagnosis execution module receives the corrosion result of the soaking water source on the electric valve, transmits the diagnosis result to the client, and takes corresponding measures to deal with it.

[0009] Preferably, the water quality data of the soaking water source includes the pH value and dissolved oxygen content of the soaking water source of the electric valve. The acquisition process is as follows:

[0010] Install a pH sensor in the water soaking the electric valve. When it comes into contact with the soaking water, a potential difference is generated. Compare and calibrate the generated potential difference with the potential difference of a standard buffer solution with a known pH value, and collect the pH value of the soaking water source of the electric valve in real time.

[0011] Install an electrochemical dissolved oxygen sensor with a cathode and an anode in the water soaking the electric valve. Based on the principle of oxidation-reduction reaction, output the dissolved oxygen content of the soaking water source of the electric valve in real time.

[0012] Preferably, the water quality data of the soaking water source also includes the salt content of the soaking water source of the electric valve. The acquisition process is as follows:

[0013] According to the directional movement of salt ions and sodium ions in the soaking water source to generate conductivity, install a conductivity sensor in the water soaking the electric valve. There are two electrodes inside the conductivity sensor. Apply an alternating voltage between the two electrodes, measure the generated current in real time, and calculate and obtain the conductivity through Ohm's law.

[0014] Configure standard solutions with different salt concentrations, and let the conductivity sensor collect the conductivity of the standard solutions under the same conditions respectively, and record the conductivity of the standard solutions with different salt concentrations.

[0015] Establish a two-dimensional plane coordinate system, with the salt content in the water as the abscissa and the conductivity as the ordinate. Map the different salt concentrations and their conductivities of the standard solutions into the two-dimensional coordinate system, draw a conductivity-salt content standard curve, and obtain the quantitative relationship between the two through data fitting, so as to obtain the salt content of the soaking water source of the electric valve.

[0016] Preferably, the flow rate data of the soaking water source is the flow velocity of the soaking water source of the electric valve. The acquisition process includes:

[0017] Based on the difference in the propagation time of ultrasonic waves in the water in the downstream and upstream directions, the ultrasonic flow velocity sensor emits ultrasonic signals in the downstream and upstream directions respectively, and receives the transmitted ultrasonic signals to obtain the propagation times t 顺 and t 逆 , and then calculate the flow velocity of the soaking water source of the electric valve:

[0018]

[0019] Among them, v is the flow velocity of the water source in which the electric valve is immersed, =t 逆 -t 顺 , c is the speed of sound, and L is the distance between transducers.

[0020] Preferably, the water source data standardization unit performs standardization processing on the water quality data and flow velocity data of the immersion water source. The process includes:

[0021] A1. According to the pH value range of 0-14, the linear transformation method is used to map the pH value of the immersion water source to the interval of 0-1. The calculation formula for pH value standardization is:

[0022]

[0023] A2. The calculation formula for standardizing the dissolved oxygen content of the immersion water source is:

[0024]

[0025] A3. The calculation formula for standardizing the salt content of the immersion water source is:

[0026]

[0027] A4. The calculation formula for standardizing the water flow velocity of the immersion water source is:

[0028]

[0029] Preferably, the process of the water source data weight calculation unit calculating the weight of the data after standardization processing on the corrosion degree of the electric valve includes:

[0030] B1. Set the evaluation set of the corrosion degree of the electric valve by different water source data. The corrosion degree includes low corrosion, medium corrosion and high corrosion;

[0031] B2. Combine the water quality data and flow velocity data of the immersion water source after standardization processing to establish a 4×3 order fuzzy evaluation matrix X. Set the element in the fuzzy evaluation matrix X as x ij , where i takes 1, 2, 3, 4, corresponding to acidity and alkalinity, dissolved oxygen content, salt content and water flow velocity respectively; j takes 1, 2, 3, corresponding to low corrosion, medium corrosion and high corrosion respectively;

[0032] B3. Calculate the proportion of the i-th index:

[0033]

[0034] B4. Calculate the entropy value of the i-th index:

[0035]

[0036] Among them, ;

[0037] B5. Calculate the weight of the i-th index:

[0038]

[0039] Among them, the weights of the corrosion degree of the electric valve by the pH value, dissolved oxygen content, salt content, and water flow velocity of the immersion water source are respectively , , , .

[0040] Preferably, the process of obtaining the corrosion degree of the electric valve in the immersion water source by the corrosion degree diagnosis unit through the weighted summation method includes:

[0041] According to the standardized pH value of , the dissolved oxygen content of , the salt content of , the water flow velocity of , and the corresponding weights are respectively , , , , use the weighted summation formula to calculate and obtain the corrosion degree of the electric valve in the immersion water source:

[0042]

[0043] Preferably, the process of constructing the corrosion degree diagnosis model of the electric valve by the corrosion degree model construction unit includes:

[0044] Take the water quality data and flow velocity data of the immersion water source and its corrosion degree on the electric valve as a data set, divide the data set into a training set and a test set according to a ratio of 7:3; use the training set to train a decision tree model to build a non-linear relationship between the immersion water source and the corrosion degree of the electric valve, so as to realize inputting the water quality data and flow velocity data of the immersion water source, and the decision tree model outputs the corresponding corrosion degree of the electric valve. The corrosion degree of the electric valve includes low corrosion, medium corrosion, and high corrosion; use the test set to test and evaluate the model, adjust the parameters of the decision tree model, and then deploy the corrosion degree diagnosis model of the electric valve to the intelligent electric valve fault diagnosis system to obtain the corrosion degree diagnosis model of the electric valve.

[0045] Preferably, the process of analyzing the water quality data and flow velocity data of the immersion water source and evaluating the corrosion result of the immersion water source on the electric valve by the corrosion result evaluation module includes:

[0046] Input the water quality data and flow rate data of the soaking water source into the electric valve corrosion degree diagnosis model. The electric valve corrosion degree diagnosis model outputs the corrosion degree of the soaking water source on the electric valve, and then obtains the corrosion result of the soaking water source on the electric valve. The corrosion result is low corrosion, medium corrosion, and high corrosion, and transmits the corrosion result of the soaking water source on the electric valve to the intelligent fault diagnosis execution module.

[0047] Preferably, the process of the intelligent fault diagnosis execution module receiving the corrosion result of the soaking water source on the electric valve, transmitting the diagnosis result to the client, and taking corresponding measures includes:

[0048] When the corrosion result of the soaking water source on the electric valve is low corrosion, transmit the low corrosion diagnosis result to the client. The client continuously monitors the soaking water source and conducts regular visual inspections and wiping treatments on the electric valve;

[0049] When the corrosion result of the soaking water source on the electric valve is medium corrosion, transmit the medium corrosion diagnosis result to the client. The client cleans the electric valve, increases the monitoring frequency of the soaking water source, and adds corrosion inhibitors to the soaking water;

[0050] When the corrosion result of the soaking water source on the electric valve is high corrosion, transmit the high corrosion diagnosis result to the client. The client stops the operation of the electric valve, disassembles the electric valve and checks the corrosion condition, conducts emergency sampling and analysis of the soaking water source, and takes measures such as repair welding and replacement for severely corroded components.

[0051] The beneficial effects of the present invention are as follows: Compared with the traditional intelligent electric valve fault diagnosis system, in the system of the present invention, the sensor technology is closely combined with modern information technology to accurately capture the water quality data and flow rate data of different immersion water sources, achieving real-time and comprehensive monitoring of the corrosion degree of the electric valve. Through the linear transformation method, the water quality data of the immersion water source and the flow rate data of the immersion water source are standardized. Then, by using the entropy value method, the weights of the standardized data for the corrosion degree of the electric valve are calculated. Based on the weights of the water quality data of the immersion water source and the flow rate data of the immersion water source for the corrosion degree of the electric valve, the corrosion degree of the electric valve corresponding to different water quality data and flow rate data of the immersion water source is obtained. By using the decision tree algorithm and the corrosion degree diagnosis model, the corrosion results of the electric valve corresponding to different water quality data and flow rate data of the immersion water source are obtained through evaluation and analysis. This solves the problem that in the urban water supply system, the electric valve is immersed in water for a long time, resulting in corrosion of the electric valve, and the existing intelligent electric valve fault diagnosis system cannot monitor the corrosion degree of the electric valve in real time, interfering with the normal opening and closing functions of the valve, leading to abnormal water flow distribution in the urban area and affecting the normal water supply to citizens. It ensures that the method in the present invention can refine the dynamic monitoring standard of the intelligent electric valve fault diagnosis system within a more accurate range, making the monitored data more accurate indicators under the same conditions. The research and application of this method significantly enhance the degree of intelligence in the intelligent electric valve fault diagnosis process. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a block diagram of an intelligent electric valve fault diagnosis system according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] As Figure 1 shown, the present invention provides a technical solution: an intelligent electric valve fault diagnosis system, including an immersion water source acquisition module, an intelligent monitoring and processing module, a corrosion result evaluation module, and an intelligent fault diagnosis execution module;

[0055] The immersion water source acquisition module is used to obtain the water quality data of the immersion water source and the flow rate data of the immersion water source;

[0056] The intelligent monitoring and processing module is divided into a water source data standardization unit, a water source data weight calculation unit, a corrosion degree diagnosis unit, and a corrosion degree model construction unit. Among them, the water source data standardization unit is used to standardize the water quality data and water flow rate data of the immersion water source; the water source data weight calculation unit is used to calculate the weight of the standardized data on the corrosion degree of the electric valve; the corrosion degree diagnosis unit is used to obtain the corrosion degree of the electric valve in the immersion water source through the weighted summation method; the corrosion degree model construction unit is used to construct a corrosion degree diagnosis model;

[0057] The corrosion result evaluation module analyzes the water quality data and water flow rate data of the immersion water source and evaluates the corrosion result of the immersion water source on the electric valve;

[0058] The intelligent fault diagnosis execution module receives the corrosion result of the immersion water source on the electric valve, transmits the diagnosis result to the client, and takes corresponding measures to deal with it.

[0059] The water quality data of the immersion water source includes the acidity and alkalinity and dissolved oxygen content of the water source in which the electric valve is immersed. The acquisition process is as follows:

[0060] Install a PH sensor in the water in which the electric valve is immersed, contact it with the immersion water to generate a potential difference, compare and calibrate the generated potential difference with the potential difference of a standard buffer solution with a known PH value, and collect the PH value of the water source in which the electric valve is immersed in real time;

[0061] Install an electrochemical dissolved oxygen sensor with a cathode and an anode in the water in which the electric valve is immersed, and based on the principle of redox reaction, output the dissolved oxygen content of the water source in which the electric valve is immersed in real time.

[0062] The water quality data of the immersion water source also includes the salt content of the water source in which the electric valve is immersed. The acquisition process is as follows:

[0063] According to the directional movement of salt ions and sodium ions in the immersion water source to generate conductivity, install a conductivity sensor in the water in which the electric valve is immersed. There are two electrodes inside the conductivity sensor. Apply an alternating voltage between the two electrodes, measure the generated current in real time, and calculate and obtain the conductivity through Ohm's law;

[0064] Configure standard solutions with different salt concentrations, and enable the conductivity sensor to collect the conductivity of the standard solutions under the same conditions respectively, and record the conductivity of the standard solutions with different salt concentrations;

[0065] Establish a two-dimensional plane coordinate system, with the salt content in the water as the abscissa and the conductivity as the ordinate, map the different salt concentrations and their conductivities of the standard solutions into the two-dimensional coordinate system, draw a conductivity-salt content standard curve, and obtain the quantitative relationship between the two through data fitting, so as to obtain the salt content of the water source in which the electric valve is immersed.

[0066] The flow rate data of the immersion water source is the flow velocity of the immersion water source of the electric valve, and its acquisition process includes:

[0067] Based on the difference in the propagation time of ultrasonic waves in the water in the downstream and upstream directions, the ultrasonic flow velocity sensor emits ultrasonic signals in the downstream and upstream directions respectively, and receives the transmitted ultrasonic signals to obtain the propagation times t of the ultrasonic waves in the downstream and upstream directions 顺 and t 逆 , and then calculate the flow velocity of the immersion water source of the electric valve through calculation:

[0068]

[0069] where v is the flow velocity of the immersion water source of the electric valve, =t 逆 -t 顺 , c is the speed of sound, and L is the transducer spacing.

[0070] The water source data normalization unit normalizes the water quality data and flow rate data of the immersion water source, and its process includes:

[0071] A1. According to the pH value range of 0 to 14, using the linear transformation method, map the pH value of the immersion water source to the range of 0 to 1. The calculation formula for normalizing the pH value is:

[0072]

[0073] A2. The calculation formula for normalizing the dissolved oxygen content of the immersion water source is:

[0074]

[0075] A3. The calculation formula for normalizing the salt content of the immersion water source is:

[0076]

[0077] A4. The calculation formula for normalizing the water flow velocity of the immersion water source is:

[0078]

[0079] The water source data weight calculation unit calculates the weight of the data after normalization on the corrosion degree of the electric valve, and the process includes:

[0080] B1. Set the evaluation set of the corrosion degree of the electric valve for different water source data, and the corrosion degree includes low corrosion, medium corrosion and high corrosion;

[0081] B2. Combine the water quality data and water flow velocity data of the soaking water source after standardization to establish a 4×3 fuzzy evaluation matrix X, and set the elements in the fuzzy evaluation matrix X as x ij , where i takes 1, 2, 3, 4, corresponding to pH value, dissolved oxygen content, salt content, and water flow velocity respectively; j takes 1, 2, 3, corresponding to low corrosion, medium corrosion, and high corrosion respectively;

[0082] B3. Calculate the proportion of the i-th index:

[0083]

[0084] B4. Calculate the entropy value of the i-th index:

[0085]

[0086] Among them, ;

[0087] B5. Calculate the weight of the i-th index:

[0088]

[0089] Among them, the weights of the pH value, dissolved oxygen content, salt content, and water flow velocity of the soaking water source on the corrosion degree of the electric valve are respectively , , , .

[0090] The process of the corrosion degree diagnosis unit obtaining the corrosion degree of the electric valve in the soaking water source through the weighted summation method includes:

[0091] According to the standardized pH value of , the dissolved oxygen content of , the salt content of , and the water flow velocity of , and the corresponding weights are respectively , , , , use the weighted summation formula to calculate and obtain the corrosion degree of the electric valve in the soaking water source:

[0092]

[0093] The process of the corrosion degree model construction unit constructing the electric valve corrosion degree diagnosis model includes:

[0094] Taking the water quality data of the immersion water source, the flow rate data, and their corrosion degree on the electric valve as a data set, dividing the data set into a training set and a test set according to a ratio of 7:3; using the training set to train a decision tree model to establish a non-linear relationship between the immersion water source and the corrosion degree of the electric valve, so as to realize inputting the water quality data and flow rate data of the immersion water source, and the decision tree model outputs the corresponding corrosion degree of the electric valve, where the corrosion degree of the electric valve includes low corrosion, medium corrosion, and high corrosion; using the test set to test and evaluate the model, adjusting the parameters of the decision tree model, and then deploying the electric valve corrosion degree diagnosis model into the intelligent electric valve fault diagnosis system to obtain the electric valve corrosion degree diagnosis model.

[0095] The corrosion result evaluation module analyzes the water quality data and flow rate data of the immersion water source. The process of evaluating the corrosion result of the immersion water source on the electric valve includes:

[0096] Inputting the water quality data and flow rate data of the immersion water source into the electric valve corrosion degree diagnosis model, the electric valve corrosion degree diagnosis model outputs the corrosion degree of the immersion water source on the electric valve, thereby obtaining the corrosion result of the immersion water source on the electric valve. The corrosion result is low corrosion, medium corrosion, and high corrosion, and transmits the corrosion result of the immersion water source on the electric valve to the intelligent fault diagnosis execution module.

[0097] The intelligent fault diagnosis execution module receives the corrosion result of the immersion water source on the electric valve. The process of transmitting the diagnosis result to the client and taking corresponding measures includes:

[0098] When the corrosion result of the immersion water source on the electric valve is low corrosion, transmit the low corrosion diagnosis result to the client. The client continuously monitors the immersion water source and conducts regular visual inspections and wiping treatments on the electric valve.

[0099] When the corrosion result of the immersion water source on the electric valve is medium corrosion, transmit the medium corrosion diagnosis result to the client. The client cleans the electric valve, increases the monitoring frequency of the immersion water source, and adds corrosion inhibitors to the immersion water.

[0100] When the corrosion result of the immersion water source on the electric valve is high corrosion, transmit the high corrosion diagnosis result to the client. The client stops the operation of the electric valve, disassembles the electric valve and checks the corrosion situation, conducts emergency sampling and analysis on the immersion water source, and takes measures such as repair welding and replacement for severely corroded components.

[0101] First, use a PH sensor to collect the PH value of the water source in which the electric valve is immersed, use an electrochemistry dissolved oxygen sensor to collect the dissolved oxygen content of the water source in which the electric valve is immersed, collect the salt content of the water source in which the electric valve is immersed by combining a conductivity sensor with Ohm's law, and use an ultrasonic flow velocity sensor to collect the flow velocity of the water source in which the electric valve is immersed; Secondly, adopt the linear transformation method to standardize the water quality data and flow velocity data of the immersed water source. Through the entropy value method and the weighted summation method, calculate the weight of the standardized data on the corrosion degree of the electric valve and the corrosion degree of the electric valve in the immersed water source respectively, and then use the decision tree algorithm to construct a diagnostic model for the corrosion degree of the electric valve; Then, input the water quality data and flow velocity data of the immersed water source into the diagnostic model for the corrosion degree of the electric valve. The diagnostic model for the corrosion degree of the electric valve outputs the corrosion degree of the immersed water source on the electric valve, and further obtains the corrosion result of the immersed water source on the electric valve. The corrosion result is low corrosion, medium corrosion, and high corrosion, and transmit the corrosion result of the immersed water source on the electric valve to the intelligent fault diagnosis execution module; Finally, receive the corrosion result of the immersed water source on the electric valve. When the corrosion result of the immersed water source on the electric valve is low corrosion, transmit the low corrosion diagnosis result to the client. The client continuously monitors the immersed water source and conducts regular visual inspections and wiping treatments on the electric valve; When the corrosion result of the immersed water source on the electric valve is medium corrosion, transmit the medium corrosion diagnosis result to the client. The client cleans the electric valve, increases the monitoring frequency of the immersed water source, and adds corrosion inhibitors to the immersed water; When the corrosion result of the immersed water source on the electric valve is high corrosion, transmit the high corrosion diagnosis result to the client. The client stops the operation of the electric valve, disassembles the electric valve and checks the corrosion situation, takes emergency sampling and analysis of the immersed water source, and takes measures such as repair welding and replacement for severely corroded components.

[0102] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation. An element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0103] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent electric valve fault diagnosis system, including an immersion water source acquisition module, an intelligent monitoring and processing module, a corrosion result evaluation module, and an intelligent fault diagnosis execution module, is characterized in that: The immersion water source acquisition module is used to obtain the water quality data and flow rate data of the immersion water source; The intelligent monitoring and processing module is divided into a water source data standardization unit, a water source data weight calculation unit, a corrosion degree diagnosis unit, and a corrosion degree model construction unit. Among them, the water source data standardization unit is used to standardize the water quality data and flow rate data of the immersion water source; the water source data weight calculation unit is used to calculate the weight of the standardized data on the corrosion degree of the electric valve; the corrosion degree diagnosis unit is used to obtain the corrosion degree of the electric valve in the immersion water source by the weighted summation method; the corrosion degree model construction unit is used to construct a corrosion degree diagnosis model; The corrosion result evaluation module analyzes the water quality data and flow rate data of the immersion water source and evaluates the corrosion result of the immersion water source on the electric valve; The intelligent fault diagnosis execution module receives the corrosion result of the immersion water source on the electric valve, transmits the diagnosis result to the client, and takes corresponding measures to deal with it.

2. The intelligent electric valve fault diagnosis system according to claim 1, characterized in that: The water quality data of the immersion water source includes the acidity and alkalinity and dissolved oxygen content of the water source where the electric valve is immersed. The acquisition process is as follows: Install a PH sensor in the water where the electric valve is immersed, contact it with the immersion water to generate a potential difference, compare and calibrate the generated potential difference with the potential difference of a standard buffer solution with a known PH value, and collect the PH value of the water source where the electric valve is immersed in real time; Install an electrochemical dissolved oxygen sensor with a cathode and an anode in the water where the electric valve is immersed, and based on the principle of redox reaction, output the dissolved oxygen content of the water source where the electric valve is immersed in real time.

3. The intelligent electric valve fault diagnosis system according to claim 2, characterized in that: The water quality data of the immersion water source also includes the salt content of the water source where the electric valve is immersed. The acquisition process is as follows: According to the directional movement of salt ions and sodium ions in the immersion water source under the action of an electric field to generate conductivity, install a conductivity sensor in the water where the electric valve is immersed. There are two electrodes inside the conductivity sensor. Apply an alternating voltage between the two electrodes, measure the generated current in real time, and calculate and obtain the conductivity through Ohm's law; Configure standard solutions with different salt concentrations, so that the conductivity sensor collects the conductivity of the standard solutions under the same conditions, and record the conductivity of the standard solutions with different salt concentrations; Establish a two-dimensional plane coordinate system, with the salt content in the water as the abscissa and the conductivity as the ordinate, map the different salt concentrations and their conductivities of the standard solutions into the two-dimensional coordinate system, draw a conductivity-salt content standard curve, and obtain the quantitative relationship between the two through data fitting, so as to obtain the salt content of the water source where the electric valve is immersed.

4. The intelligent electric valve fault diagnosis system according to claim 3, characterized in that: The flow rate data of the immersion water source is the flow velocity of the water source where the electric valve is immersed. The acquisition process includes: Based on the difference in the propagation time of ultrasonic waves in the water in the downstream and upstream directions, the ultrasonic flow velocity sensor emits ultrasonic signals in the downstream and upstream directions respectively, and receives the transmitted-back ultrasonic signals to obtain the propagation times t 顺 and t 逆 , and then calculates to obtain the flow velocity of the water source in which the electric valve is immersed: Among them, v is the flow velocity of the water source in which the electric valve is immersed, =t 逆 -t 顺 , c is the speed of sound, and L is the transducer spacing.

5. An intelligent electric valve fault diagnosis system according to claim 4, characterized in that: The water source data standardization unit standardizes the water quality data and flow rate data of the immersion water source. The process includes: A1. According to the PH value range of 0 to 14, adopt the linear transformation method to map the PH value of the immersion water source to the interval of 0 to 1. The calculation formula for PH value standardization is: The standardized calculation formula for the dissolved oxygen content of the soaking water source is as follows: The standardized calculation formula for the salt content of the soaking water source is as follows: The standardized calculation formula for the water flow velocity of the soaking water source is as follows: 。 6. The intelligent electric valve fault diagnosis system according to claim 5, wherein: The process by which the water source data weight calculation unit calculates the weight of the data after standardization on the corrosion degree of the electric valve includes: B1. Set the evaluation set of the corrosion degree of the electric valve for different water source data. The corrosion degree includes low corrosion, medium corrosion, and high corrosion. B2. Combine the processed standardized water quality data of the soaking water source and the flow rate data of the soaking water source to establish a 4×3 order fuzzy evaluation matrix X, and set the elements in the fuzzy evaluation matrix X as x ij , where i takes 1, 2, 3, 4, corresponding to pH value, dissolved oxygen content, salt content, and water flow velocity respectively; j takes 1, 2, 3, corresponding to low corrosion, medium corrosion, and high corrosion respectively; B3. Calculate the proportion of the i-th index: B4. Calculate the entropy value of the i-th index: Among them, ; B5. Calculate the weight of the i-th index: Among them, the weight of the corrosion degree of the electric valve by the pH value, dissolved oxygen content, salt content, and water flow velocity of the soaking water source is respectively , , , .

7. An intelligent electric valve fault diagnosis system according to claim 6, characterized in that: The process by which the corrosion degree diagnosis unit obtains the corrosion degree of the electric valve in the soaking water source through the weighted summation method includes: According to the standardized pH value of , the dissolved oxygen content is , the salt content is , the water flow velocity is , and the corresponding weights are , , , , use the weighted summation formula to calculate and obtain the corrosion degree of the electric valve in the immersion water source: 。 8. An intelligent electric valve fault diagnosis system according to claim 7, characterized in that: The process by which the corrosion degree model construction unit constructs the electric valve corrosion degree diagnosis model includes: Taking the water quality data and flow velocity data of the soaking water source and their corrosion degree on the electric valve as a data set, dividing the data set into a training set and a test set according to a ratio of 7:3; using the training set to train a decision tree model to establish a non-linear relationship between the soaking water source and the corrosion degree of the electric valve, so that when inputting the water quality data and flow velocity data of the soaking water source, the decision tree model outputs the corresponding corrosion degree of the electric valve, and the corrosion degree of the electric valve includes low corrosion, medium corrosion, and high corrosion; using the test set to test and evaluate the model, adjusting the parameters of the decision tree model, and then deploying the electric valve corrosion degree diagnosis model to the intelligent electric valve fault diagnosis system to obtain the electric valve corrosion degree diagnosis model.

9. The intelligent electric valve fault diagnosis system according to claim 8, characterized in that: The process by which the corrosion result evaluation module analyzes the water quality data and flow velocity data of the soaking water source and evaluates the corrosion result of the soaking water source on the electric valve includes: Inputting the water quality data and flow velocity data of the soaking water source into the electric valve corrosion degree diagnosis model. The electric valve corrosion degree diagnosis model outputs the corrosion degree of the soaking water source on the electric valve, and then obtains the corrosion result of the soaking water source on the electric valve. The corrosion result is low corrosion, medium corrosion, and high corrosion, and transmits the corrosion result of the soaking water source on the electric valve to the intelligent fault diagnosis execution module.

10. The intelligent electric valve fault diagnosis system according to claim 9, characterized in that: The process by which the intelligent fault diagnosis execution module receives the corrosion result of the soaking water source on the electric valve, transmits the diagnosis result to the client, and takes corresponding measures includes: When the corrosion result of the soaking water source on the electric valve is low corrosion, transmit the low corrosion diagnosis result to the client. The client continuously monitors the soaking water source and conducts regular visual inspections and wiping treatments on the electric valve. When the corrosion result of the soaking water source on the electric valve is medium corrosion, transmit the medium corrosion diagnosis result to the client. The client cleans the electric valve, increases the monitoring frequency of the soaking water source, and adds corrosion inhibitors to the soaking water. When the corrosion result of the soaking water source on the electric valve is high corrosion, transmit the high corrosion diagnosis result to the client. The client stops the operation of the electric valve, disassembles the electric valve and checks the corrosion situation, takes emergency sampling and analysis of the soaking water source, and takes measures such as repair welding and replacement for severely corroded components.

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