Thyristor temperature on-line monitoring system and monitoring method

Abstract

The invention relates to the technical field of thyristor temperature on-line monitoring, in particular to a thyristor temperature on-line monitoring system and a monitoring method. The on-line monitoring system comprises an input signal control processing circuit I, an input signal control processing circuit II, a digital temperature sensor DS18B20, a digital temperature sensor DS18B20 single-bus driving circuit, a silicon controlled rectifier main circuit, an isolation bus interface circuit, an I 2C-EEPROM circuit, a local controller, a communication module and a main controller. Under a strong magnetic field and a high voltage, a function of monitoring the temperature of the silicon controlled rectifier on line can be realized, and a high-temperature upper limit and a low-temperature lower limit are set through the main controller; on-line temperature monitoring is directly carried out on each thyristor under high voltage and a strong magnetic field through the isolation circuit and the multi-path sensor driving circuit, so that whether the silicon controlled rectifier is overloaded or not can be accurately judged, an alarm can be given in time once the temperature of the thyristor exceeds a set value, the alarm reason can be checked instantly, and the measurement precision is high.

Description

Technical Field

[0001] The present invention relates to the technical field of thyristor temperature online monitoring, and in particular to a thyristor temperature online monitoring system and a monitoring method. Background Art

[0002] In electrolytic rectifiers, thyristors are core components, and their quality determines the proper operation of the rectifier. During use, individual thyristor burnouts often go undetected, leading to burnout of the entire arm's thyristors. Thyristor burnouts can be caused by a variety of factors, including low water pressure, waterway failures, blockages in individual waterways, overload of the entire unit or bridge arm, severe current imbalance causing overload of a component, component aging, or inherent quality defects. In short, the temperature of each thyristor during operation is a matter of great concern to users.

[0003] In summary, how to design a thyristor temperature online monitoring system and monitoring method so that it can realize the function of online monitoring of thyristor temperature under strong magnetic field and high voltage, and set the high temperature upper limit and low temperature lower limit through the main controller; avoid the occurrence of thyristor burning accidents, and effectively identify and correct the temperature signal in the local controller with high measurement accuracy, has become an urgent problem to be solved. Summary of the Invention

[0004] The object of the present invention is to provide a thyristor temperature online monitoring system and monitoring method to solve the above problems.

[0005] In order to achieve the above objectives, the following technical solutions are provided:

[0006] A thyristor temperature online monitoring system, comprising:

[0007] Input signal control processing circuit 1, input signal control processing circuit 2, digital temperature sensor DS18B20, digital temperature sensor DS18B20 single bus drive circuit, thyristor main circuit, isolated bus interface circuit, I2C-EEPROM circuit, local controller, communication module and main controller;

[0008] The input signal control processing circuit 1 and the input signal control processing circuit 2 are capable of receiving the WR_L and WR_H signals of the local controller, and their output ends are connected to the input end of the digital temperature sensor DS18B20 single bus driving circuit;

[0009] The P10 terminal of the digital temperature sensor DS18B20 single bus driving circuit is connected to the thyristor main circuit through the digital temperature sensor DS18B20, and the output terminal of the driving circuit is connected to the input terminal of the isolation bus interface circuit;

[0010] The output end of the isolation bus interface circuit is connected to the input end of the local controller, the output end of the local controller is connected to the input end of the communication module and the input end of the I2C-EEPROM circuit, and the output end of the communication module is connected to the main controller;

[0011] When the input signal control processing circuit 1 receives the WR_L and WR_H signals, it processes them into WR_L1 and WR_H1 signals respectively. The input signal control processing circuit 2 outputs L[1.4] and H[1.4] signals to the digital temperature sensor DS18B20 single bus driving circuit, and sets the low temperature lower limit signal and the high temperature upper limit signal according to the signals.

[0012] The digital temperature sensor DS18B20 is installed on the thyristor heat sink of the thyristor main circuit and outputs the DQ[1.4] signal to the local controller through the isolation bus interface circuit. After receiving the signal, the local controller processes it and corrects the disturbance error caused by strong magnetic fields, heat sink isolation, etc.

[0013] Preferably, the communication module includes: an Ethernet communication module, a relay output module and an RS-485 communication module.

[0014] Preferably, the input signal control processing circuit 1 includes: a 5V VDD power supply, a resistor R67, a resistor R68, an isolation module U3, a capacitor C5, and a capacitor C6; the input signal control processing circuit 2 includes: a 3.3V VCC power supply, a resistor R1, a resistor R4, an inverter U2A, and an inverter U2B;

[0015] The WR_L terminal in the input signal control processing circuit 1 and the input signal control processing circuit 2 is the input terminal 1 of the input signal control processing circuit, and the WR_L terminal is connected to one end of R67. The WR_H terminal is the input terminal 2 of the input signal control processing circuit, and the WR_H terminal is connected to one end of R68.

[0016] The other end of R67 is connected to the K1 end of U3, the other end of R68 is connected to the K2 end of U3, GND1 is connected to one end of C6, the other end of C6 is connected to the 5V VDD power supply and the A1 and A2 ends of U3, I GND1 is connected to one end of C5, IVDD is connected to the other end of C5 and the VCC of U3, I GND1 is connected to the GND end of U3, R1 and R4 are commonly connected to the VCC end of U3, the output end OUT1 of U3 is respectively connected to R1 and pin 1 of U2A, the output end OUT2 of U3 is respectively connected to R4 and pin 3 of U2B, pin 2 of U2A is connected to the input end L of the drive circuit, and pin 4 of U2B is connected to the input end H of the drive circuit.

[0017] Preferably, the digital temperature sensor DS18B20 single bus drive circuit includes: a 5V IVDD power supply, a fuse F1, a fuse F2, a fuse F3, a fuse F4, a resistor R57, a resistor R58, a resistor R59, a resistor R60, a resistor R61, a resistor R62, a resistor R63, a resistor R64, a resistor R65, a capacitor C64, a capacitor C65, a capacitor C66, a capacitor C67, a capacitor C68, a diode D11, a diode D12, a diode D13, a transistor Q6, a transistor Q7, and a 1wi re interface P10;

[0018] Transistor Q6 is a BSS84 transistor, and transistor Q7 is a 27N7000 transistor;

[0019] The 5V IVDD power supply is connected to one end of F1, and the other end of F1 is connected to one end of R57, R58, C66, R59, C64, C65, F2 and the drain of Q6 respectively;

[0020] The H terminal of the driving circuit is connected to the other end of R57, one end of D11 and one end of R60 respectively; the other end of D11 is connected to the other end of R60, the gate of Q6 and one end of C67; the source of Q6 is connected to the other end of R67, one end of R61 and one end of C66; the other end of R61 is connected to the other end of R59; the a1 terminal is set between R61 and R59; the other ends of C64 and C65 are connected to I GND1; the other end of F2 is connected to pin 3 of P10;

[0021] The L end of the drive circuit is respectively connected to the other end of R58, the cathode of D12 and one end of R65; the anode of D12 is connected to the other end of R65, one end of C68 and the gate of Q7; the other end of C68 is connected to the drain of Q7 and one end of R63, and the other end of R63 is respectively connected to pin 2 of D13 and one end of R64; the a2 end is arranged between R63 and R64; the other end of R64 is respectively connected to one end of R78 and one end of F3; the other end of F3 is connected to pin 2 of P10; the source of Q7 is respectively connected to I GND1, pin 1 of D13, the other end of R78 and one end of F4; the other end of F4 is connected to pin 1 of P10; the a1 end is respectively connected to the a2 end and one end of R62; the other end of R62 is connected to the DQ1-DQ4 ends of the isolation bus interface circuit.

[0022] Preferably, the isolated bus interface circuit includes: an inverter U2C, an inverter U2D, an inverter U2E, an inverter U2F, a resistor R69, a resistor R70, a resistor R71, a resistor R72, a resistor R73, a resistor R74, a resistor R75, a resistor R76, a capacitor C9, a capacitor C11, a capacitor C12, a capacitor C13, an isolation module U4, an isolation module U11, a first power supply module, and a second power supply module;

[0023] The first power supply module includes 5V IVDD and I GND1, and the second power supply module includes 3.3V VDD and GND1;

[0024] The DQ1 end of the isolated bus interface circuit is connected to pin 5 of U2C, pin 6 of U2C is connected to one end of R73, and the other end of R73 is connected to the K1 end of U4; the DQ2 end is connected to pin 9 of U2D, U2D is connected to one end of R74, and the other end of R74 is connected to the K2 end of U4; the DQ3 end is connected to pin 11 of U2E, U2E is connected to one end of R75, and the other end of R75 is connected to the K1 end of U11; the DQ4 end is connected to pin 13 of U2F, U2F is connected to one end of R76, and the other end of R76 is connected to the K2 end of U11; I GND1 is connected to one end of C9 and C13 respectively, the other end of C9 is connected to the first power module and the A1 and A2 ends of U4 respectively; the other end of C13 is connected to the first power module and the A1 and A2 ends of U11 respectively;

[0025] The second power supply module is respectively connected to the VCC end of U4, one end of C11, the VCC end of U11, one end of C12, one end of R69, one end of R70, one end of R71, and one end of R72; GND1 is respectively connected to the other end of C11, the other end of C12, the GND end of U4, and the GND end of U11; the OUT1 end of U4 is respectively connected to the other end of R69 and the PD2 pin of the local controller, the OUT2 end of U4 is respectively connected to the other end of R70 and the PB3 pin of the local controller, the OUT1 end of U11 is respectively connected to the other end of R71 and the PB4 pin of the local controller, and the OUT2 end of U11 is respectively connected to the other end of R72 and the PB5 pin of the local controller.

[0026] Preferably, the I 2C-EEPROM circuit includes: a memory module U6, a resistor R18, a resistor R19, a resistor R20, a capacitor C27, and a second power supply module;

[0027] The PB6 end of the local controller is respectively connected to the SCL end of U6 and one end of R19, the PB7 end of the local controller is respectively connected to the SDA end of U6 and one end of R20, and the WP end of U6 is connected to one end of R18; the second power supply module is respectively connected to the other end of R18, the other end of R19, the other end of R20, and one end of C27; the other end of C27 is respectively connected to the A0, A1, A2, GND ends and GND1 of U6.

[0028] The present invention also provides a thyristor temperature online monitoring method, which uses the above-mentioned thyristor temperature online monitoring system. The method includes the following steps:

[0029] S1: digital signal of input temperature;

[0030] S2: Initialize and calculate related calculations;

[0031] S3: Compensate and correct system errors by using fractional-order ant colony algorithm and fuzzy neural network algorithm to improve Kalman filtering;

[0032] S4: Determine whether the output has large fluctuations. If so, delete it and return to step S2. If not, end.

[0033] Preferably, the step S3 is specifically as follows:

[0034] Full compensation is performed on multi-source disturbance errors. The results of disturbance error compensation are used as the input for the initial error correction. The fractional-order ant colony algorithm and fuzzy neural network algorithm are used to optimize the Kalman filter algorithm, and the data is further processed to correct the influence of disturbance errors.

[0035] The silicon temperature data is stored through the I2C-EEPROM circuit, and the relay output display signal and communication with the main controller are realized;

[0036] The specific steps of the fractional-order ant colony algorithm and fuzzy neural network algorithm are as follows:

[0037] S31: determining the fuzzy neural network topology structure in the fuzzy neural network algorithm, initializing the neural network parameters, selecting the learning rate and momentum factor, and outputting them to the fuzzy neural network algorithm as system input variables and the fractional order ant colony algorithm as initialization parameters respectively;

[0038] S32: After the fractional-order ant colony algorithm has initialized its parameters, it is determined whether the maximum number of iterations has been reached. If so, an approximate optimal solution for the network parameters is obtained and the fuzzy neural network algorithm is entered to input system variables. If not, iteration is performed.

[0039] The iterative steps include: all m ants complete the journey and sort the m ant results; calculate the fractional pheromone increment and update the fractional pheromone; return the optimal path for the tth iteration; complete the current iteration and determine whether the maximum number of iterations has been reached;

[0040] S33: After the system inputs variables into the fuzzy neural network algorithm, fuzzy reasoning is performed and errors are calculated;

[0041] S34: Fine-tune the BP algorithm and update the parameter c ij , b ij ,ω;

[0042] S35: Determine whether the learning is finished. If so, the system outputs; if not, returns to S33.

[0043] The beneficial effects of the present invention are:

[0044] 1. Compared with the prior art, the present invention can realize the function of online monitoring of thyristor temperature under strong magnetic field and high voltage, and set the high temperature upper limit and low temperature lower limit through the main controller; the present invention uses isolation circuit and multi-channel sensor drive circuit to directly monitor the online temperature of each thyristor under high voltage and strong magnetic field, thereby accurately judging whether the thyristor is overloaded. Once the temperature of the thyristor exceeds the set value, an alarm will be issued in time, and the cause of the alarm can be checked instantly, which can timely and effectively avoid the occurrence of thyristor burning accidents, and the temperature signal can be effectively identified and corrected in the local controller, with high measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 Schematic diagram of the structure of the thyristor temperature online monitoring system of the present invention;

[0046] Figure 2 A circuit diagram of an input signal control processing circuit;

[0047] Figure 3 This is the circuit diagram of the second input signal control processing circuit;

[0048] Figure 4 This is the single bus driver circuit diagram of the digital temperature sensor DS18B20;

[0049] Figure 5 This is the main circuit diagram of the thyristor;

[0050] Figure 6 This is the circuit diagram of the isolated bus interface;

[0051] Figure 7 This is the I2C-EEPROM circuit diagram;

[0052] Figure 8This is a flow chart of the compensation and correction system error of the thyristor temperature online monitoring method in the present invention;

[0053] Figure 9 This is the flow chart of the fractional-order ant colony and fuzzy neural network algorithm. DETAILED DESCRIPTION

[0054] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions of the schematic diagrams in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] Example:

[0056] like Figure 1-9 As shown, a thyristor temperature online monitoring device includes: an input control signal processing circuit, a digital temperature sensor DS18B20 single bus drive circuit, a thyristor main circuit, an isolation bus interface circuit, an I2C-EEPROM circuit, a power module, a local controller, a communication module, and a main controller; the input control signal processing circuit receives WR_L and WR_H signals from the main controller, and its output end is connected to the input end of the digital temperature sensor DS18B20 single bus drive circuit, the P10 end of the digital temperature sensor DS18B20 single bus drive circuit is connected to the thyristor main circuit through the digital temperature sensor DS18B20, the output end of the drive circuit is connected to the input end of the isolation bus interface circuit, the output end of the isolation bus interface circuit is connected to the input end of the local controller, and the output end of the local controller is connected to the input end of the communication module and the I2C-EEPROM circuit. The input end is connected, and the output end of the communication module is connected to the main controller; further, the input control signal optocoupler isolation circuit processes the WR_L and WR_H signals into WR_H1 and WR_L1 signals, and outputs H[1.4] and L[1.4] signals to the digital temperature sensor DS18B20 single bus drive circuit via the inverting circuit, and the high temperature upper limit signal and the low temperature lower limit signal are set according to these signals; the digital temperature sensor DS18B20 is installed on the thyristor heat sink that can control the main circuit, and outputs the DQ[1.4] signal to the local controller through the drive circuit and the isolation bus interface circuit; the input signal received by the local controller is processed by an automated correction algorithm to correct the influence of disturbance errors caused by factors such as strong magnetic fields and high voltages; the corrected data can be output to the main controller via RS485 or Ethernet, and the I2C-EEPROM circuit realizes data storage;

[0057] The input control signal processing circuit 1 specifically includes a first power supply, a second power supply, a resistor R67, a resistor R68, an isolation module U3, a capacitor C5, and a capacitor C6; the WR_L terminal is the input terminal 1 of the input control signal processing circuit, the WR_L terminal is connected to one end of the resistor R67, the WR_H terminal is the input terminal 2 of the optocoupler isolation circuit, and the WR_H terminal is connected to one end of the resistor R68; the other end of R67 is connected to the K1 terminal of U3, the other end of R68 is connected to the K2 terminal of U3, GND1 is connected to one end of the capacitor C6, the other end of the capacitor C6 is connected to VDD and the A1 and A2 terminals of U3, I GND1 is connected to one end of the capacitor C5, IVDD is connected to the other end of the capacitor C5 and the VCC of U3, I GND1 is connected to the GND terminal of U3, the pull-up resistors R1 and R4 are commonly connected to the VCC terminal, the output terminal OUT1 of U3 outputs the WR_L1 signal, and the output terminal OUT2 of U3 outputs the WR_H1 signal;

[0058] The input control signal processing circuit 2 specifically includes a VCC terminal, a first power supply, a resistor R1, a resistor R4, an inverter U2A, and an inverter U2B; the pull-up resistors R1, R4, and pin 14 of U2A are commonly connected to the VCC terminal, the output terminal OUT1 of U3 is respectively connected to the pull-up resistor R1 and pin 1 of U2A, the output terminal OUT2 of U3 is respectively connected to the pull-up resistor R4 and pin 3 of U2B, the pin 2 of U2A is connected to the input terminal L of the drive circuit, and the pin 4 of U2B is connected to the input terminal H of the drive circuit;

[0059] The input control signal processing circuit consists of an isolation module and an inverter module. The local controller inputs the WR_L and WR_H silicon temperature upper limit control signals to the input control signal processing circuit. Through the isolation module U3, it outputs the WR_L1 and WR_H1 signals. The inverting part receives the signal and converts the output into H[1.4] and L[1.4]. Then, the low temperature and high temperature upper and lower limit control signals are output to the drive circuit through the REPEAT module.

[0060] The digital temperature sensor DS18B20 single bus driving circuit includes a first power supply module (IVDD5V, I GND1), fuse F1, fuse F2, fuse F3, fuse F4, resistor R57, resistor R58, resistor R59, resistor R60, resistor R61, resistor R62, resistor R63, resistor R64, resistor R65, capacitor C64, capacitor C65, capacitor C66, capacitor C67, capacitor C68, diode D11, diode D12, diode D12, transistor Q6, transistor Q7, 1wi re interface P10; the first power supply is connected to one end of the fuse F1, and the other end of the fuse F1 is respectively connected to the resistor R57, the resistor R58, the drain of the transistor Q6, the capacitor C66, the resistor R59, the capacitor C64, the capacitor C65 and one end of the fuse F2; the H end is respectively connected to the other end of the resistor R57, one end of the diode D11 and one end of the resistor R60; the other end of D11 is connected to the other end of R60, the gate of the transistor Q6 and one end of the capacitor C67; the source of the transistor Q6 is connected to the other end of the capacitor R67, one end of R61 and one end of the capacitor C66; the other end of the resistor R61 is connected to the other end of the resistor R59; the a1 end is set between the resistor R61 and the resistor R59; the other ends of the capacitors C64 and C65 are connected to I GND1 is connected; the other end of fuse F2 is connected to pin 3 of P10; the L end is respectively connected to the other end of resistor R58, the cathode of diode D12 and one end of resistor R65; the anode of diode D12, the other end of resistor R65, one end of capacitor C68 and the gate of transistor Q7 are connected; the other end of C68 is connected to the drain of transistor Q7 and one end of R63, and the other end of resistor R63 is respectively connected to pin 2 of bidirectional trigger diode D13 and one end of resistor R64; terminal a2 is set between resistor R63 and resistor R64; the other end of resistor R64 is respectively connected to one end of resistor R78 and one end of fuse F3; the other end of fuse F3 is connected to pin 2 of P10; the source of transistor Q7 is respectively connected to I GND1, pin 1 of bidirectional trigger diode D13, the other end of resistor R78, and one end of fuse F4 are connected; the other end of fuse F4 is connected to pin 1 of P10; terminal a1 is respectively connected to terminal a2 and one end of resistor R62; the other end of R62 is connected to terminals DQ1-DQ4 of the isolation bus interface circuit;

[0061] The digital temperature sensor DS18B20 single bus drive circuit includes a silicon temperature low-temperature limit control module, a silicon temperature high-temperature limit control module, and a silicon temperature signal output module; the silicon temperature low-temperature limit control module receives a low-temperature limit signal L input from the input control signal processing circuit, and outputs a low-temperature alarm signal when the silicon temperature output signal is lower than the limit value; the silicon temperature high-temperature limit control module receives a high-temperature limit signal H input from the input control signal processing circuit, and outputs a high-temperature alarm signal when the silicon temperature output signal is higher than the limit value; the silicon temperature signal output module receives the thyristor temperature digital signal DX transmitted back by the sensor via the 1wi re bus, and transmits it to the local controller through the isolation bus interface circuit after processing;

[0062] The main circuit of the thyristor includes the thyristor and a heat sink. The heat sink is directly connected to the thyristor. Pure water flows inside the radiator to cool the thyristor. The radiator is specially made of pure copper. The temperature of the heat sink is approximately equal to the temperature of the thyristor. A digital temperature sensor DS18B20 is installed on the radiator, which outputs a temperature signal to the drive circuit via the 1wi re bus and the P10 port.

[0063] The automatic error correction flow chart shows the software algorithm correction steps for the local controller to receive the thyristor temperature digital signal. It mainly includes two parts: S1. Full compensation of multi-source disturbance errors, and the compensation result is used as the input for the initial error correction; S2. Introducing fractional-order ant colony and fuzzy neural network algorithms to optimize the Kalman filter algorithm for further data processing to correct the influence of disturbance errors caused by factors such as strong magnetic fields and high voltages;

[0064] In S1, by fully compensating for the strong magnetic field disturbance coefficient and the radiator cooling disturbance coefficient, the measurement theory error can be effectively eliminated. The compensated result is used as the input of the correction algorithm. Due to different controller performance and parameters, the convergence delay of the correction algorithm will increase and the timeliness will be reduced. Therefore, a mean filter is first set to filter out Gaussian noise in the signal. In S2, the compensated signal is corrected, and the fractional-order ant colony and fuzzy neural network algorithms are introduced to optimize the Kalman filter algorithm and further process the temperature digital signal.

[0065] In the fractional-order ant colony and fuzzy neural network algorithm process:

[0066] Step 1: Determine the topology of the fuzzy neural network and select the learning rate η and momentum factor α;

[0067] Step 2: After obtaining the set of all ant walking paths KL, the ant colony's pheromone update algorithm is used; the set of KL paths is sorted and the optimal path L is selected from them. * (t), update pheromone according to formula 1 Compare the best results of round t-1 The better of the two results is selected as the maximum number of iterations after t rounds of iterations, thereby outputting the approximate optimal solution for the network parameters;

[0068] Formula 1 is:

[0069]

[0070] Step 3: Perform fuzzy reasoning and calculate the error based on the defined performance indicator function, and then update the network parameters online according to the iterative formula of the BP algorithm to establish a more adaptable and high-precision error model;

[0071] Functions that define performance metrics:

[0072]

[0073] The BP algorithm iteration formula is:

[0074]

[0075] Step 4: The model is embedded in an improved Kalman filter algorithm, enabling it to make estimates and corrections based on real-time measurement data to reduce measurement errors caused by disturbances.

[0076] In this embodiment, a 12-pulse rectifier is used as the measurement object, and the temperature of 12 thyristors is monitored online to determine whether the thyristors are overloaded. Once the thyristor temperature exceeds the set value, an alarm is immediately triggered, effectively preventing thyristor burnout accidents. At the same time, the temperature signal is effectively identified and corrected in the local controller, and the measurement accuracy is high.

[0077] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A thyristor temperature online monitoring system, characterized in that: include: Input signal control processing circuit 1, input signal control processing circuit 2, digital temperature sensor DS18B20, digital temperature sensor DS18B20 single bus drive circuit, thyristor main circuit, isolated bus interface circuit, I2C-EEPROM circuit, local controller, communication module and main controller; The input signal control processing circuit 1 and the input signal control processing circuit 2 are capable of receiving the WR_L and WR_H signals of the local controller, and their output ends are connected to the input end of the digital temperature sensor DS18B20 single bus driving circuit; The P10 end of the digital temperature sensor DS18B20 single bus driving circuit is connected to the thyristor main circuit through the digital temperature sensor DS18B20, and the output end of the driving circuit is connected to the input end of the isolation bus interface circuit; The output end of the isolation bus interface circuit is connected to the input end of the local controller, the output end of the local controller is connected to the input end of the communication module and the input end of the I2C-EEPROM circuit, and the output end of the communication module is connected to the main controller; When the input signal control processing circuit 1 receives the WR_L and WR_H signals, the input signal control processing circuit 2 processes the WR_L1 and WR_H1 signals respectively, and the input signal control processing circuit 2 outputs L[1.4] and H[1.4] signals to the digital temperature sensor DS18B20 single bus driving circuit, and sets the low temperature lower limit signal and the high temperature upper limit signal according to the signals; Among them, the digital temperature sensor DS18B20 is installed on the thyristor heat sink of the thyristor main circuit, and outputs a DQ[1.4] signal to the local controller through the isolation bus interface circuit. After receiving the signal, the local controller processes it and corrects the disturbance error caused by strong magnetic fields, heat sink isolation, etc.

2. The thyristor temperature online monitoring system according to claim 1 is characterized in that: The communication module includes: an Ethernet communication module, a relay output module and an RS-485 communication module.

3. The thyristor temperature online monitoring system according to claim 2, characterized in that: The input signal control processing circuit 1 includes: 5V VDD power supply, resistor R67, resistor R68, isolation module U3, capacitor C5, capacitor C6; the input signal control processing circuit 2 includes: 3.3V VCC power supply, resistor R1, resistor R4, inverter U2A, inverter U2B; Among them, the WR_L terminal in the input signal control processing circuit 1 and the input signal control processing circuit 2 is the input terminal 1 of the input signal control processing circuit, and the WR_L terminal is connected to one end of R67, and the WR_H terminal is the input terminal 2 of the input signal control processing circuit, and the WR_H terminal is connected to one end of R68; The other end of R67 is connected to the K1 end of U3, the other end of R68 is connected to the K2 end of U3, GND1 is connected to one end of C6, the other end of C6 is connected to the 5V VDD power supply and the A1 and A2 ends of U3, IGND1 is connected to one end of C5, IVDD is connected to the other end of C5 and the VCC of U3, IGND1 is connected to the GND end of U3, R1 and R4 are commonly connected to the VCC end of U3, the output end OUT1 of U3 is respectively connected to R1 and pin 1 of U2A, the output end OUT2 of U3 is respectively connected to R4 and pin 3 of U2B, pin 2 of U2A is connected to the input end L of the drive circuit, and pin 4 of U2B is connected to the input end H of the drive circuit.

4. The thyristor temperature online monitoring system according to claim 3 is characterized in that: The digital temperature sensor DS18B20 single bus driving circuit includes: 5V IVDD power supply, fuse F1, fuse F2, fuse F3, fuse F4, resistor R57, resistor R58, resistor R59, resistor R60, resistor R61, resistor R62, resistor R63, resistor R64, resistor R65, capacitor C64, capacitor C65, capacitor C66, capacitor C67, capacitor C68, diode D11, diode D12, diode D13, transistor Q6, transistor Q7, 1wire interface P10; Among them, transistor Q6 is a BSS84 transistor, and transistor Q7 is a 27N7000 transistor; The 5V IVDD power supply is connected to one end of F1, and the other end of F1 is respectively connected to one end of R57, R58, C66, R59, C64, C65, F2 and the drain of Q6; The H end of the driving circuit is connected to the other end of R57, one end of D11 and one end of R60 respectively; the other end of D11 is connected to the other end of R60, the gate of Q6 and one end of C67; the source of Q6 is connected to the other end of R67, one end of R61 and one end of C66; the other end of R61 is connected to the other end of R59; the a1 end is arranged between R61 and R59; the other ends of C64 and C65 are connected to IGND1; the other end of F2 is connected to the 3rd pin of P10; The L end of the driving circuit is respectively connected to the other end of R58, the cathode of D12 and one end of R65; the anode of D12 is connected to the other end of R65, one end of C68 and the gate of Q7; the other end of C68 is connected to the drain of Q7 and one end of R63, and the other end of R63 is respectively connected to the 2nd pin of D13 and one end of R64; the a2 end is arranged between R63 and R64; the other end of R64 is respectively connected to one end of R78 and one end of F3; the other end of F3 is connected to the 2nd pin of P10; the source of Q7 is respectively connected to IGND1, the 1st pin of D13, the other end of R78 and one end of F4; the other end of F4 is connected to the 1st pin of P10; the a1 end is respectively connected to the a2 end and one end of R62; the other end of R62 is connected to the DQ1-DQ4 end of the isolation bus interface circuit.

5. The thyristor temperature online monitoring system according to claim 4, characterized in that: The isolation bus interface circuit includes: inverter U2C, inverter U2D, inverter U2E, inverter U2F, resistor R69, resistor R70, resistor R71, resistor R72, resistor R73, resistor R74, resistor R75, resistor R76, capacitor C9, capacitor C11, capacitor C12, capacitor C13, isolation module U4, isolation module U11, A first power module, a second power module; Wherein, the first power supply module includes 5V IVDD and IGND1, and the second power supply module includes 3.3V VDD and GND1; Wherein, the DQ1 end of the isolation bus interface circuit is connected to the 5-pin of U2C, the 6-pin of U2C is connected to one end of R73, and the other end of R73 is connected to the K1 end of U4; the DQ2 end is connected to the 9-pin of U2D, U2D is connected to one end of R74, and the other end of R74 is connected to the K2 end of U4; the DQ3 end is connected to the 11-pin of U2E, U2E is connected to one end of R75, and the other end of R75 is connected to the K1 end of U11; the DQ4 end is connected to the 13-pin of U2F, U2F is connected to one end of R76, and the other end of R76 is connected to the K2 end of U11; IGND1 is connected to one end of C9 and C13 respectively, and the other end of C9 is connected to the first power module and the A1 and A2 ends of U4 respectively; the other end of C13 is connected to the first power module and the A1 and A2 ends of U11 respectively; The second power supply module is respectively connected to the VCC end of U4, one end of C11, the VCC end of U11, one end of C12, one end of R69, one end of R70, one end of R71, and one end of R72; GND1 is respectively connected to the other end of C11, the other end of C12, the GND end of U4, and the GND end of U11; the OUT1 end of U4 is respectively connected to the other end of R69 and the PD2 pin of the local controller, the OUT2 end of U4 is respectively connected to the other end of R70 and the PB3 pin of the local controller, the OUT1 end of U11 is respectively connected to the other end of R71 and the PB4 pin of the local controller, and the OUT2 end of U11 is respectively connected to the other end of R72 and the PB5 pin of the local controller.

6. The thyristor temperature online monitoring system according to claim 5, characterized in that: The I 2C-EEPROM circuit includes: a memory module U6, a resistor R18, a resistor R19, a resistor R20, a capacitor C27, and a second power supply module; Among them, the PB6 end of the local controller is respectively connected to the SCL end of U6 and one end of R19, the PB7 end of the local controller is respectively connected to the SDA end of U6 and one end of R20, and the WP end of U6 is connected to one end of R18; the second power supply module is respectively connected to the other end of R18, the other end of R19, the other end of R20, and one end of C27; the other end of C27 is respectively connected to the A0, A1, A2, GND ends and GND1 of U6.

7. A thyristor temperature online monitoring method, using the thyristor temperature online monitoring system according to claim 6, characterized in that: The method comprises the following steps: S1: digital signal of input temperature; S2: Initialize and calculate relevant calculations; S3: Compensate and correct system errors, using fractional-order ant colony algorithm and fuzzy neural network algorithm to improve Kalman filtering; S4: Determine whether the output has large fluctuations. If so, delete it and return to step S2. If not, end.

8. The method for online monitoring of thyristor temperature according to claim 7, characterized in that: The step S3 is specifically as follows: The multi-source disturbance error is fully compensated, and the result after disturbance error compensation is used as the input of the initial error correction. The fractional-order ant colony algorithm and fuzzy neural network algorithm are used to optimize the Kalman filter algorithm, and the data is further processed to correct the influence of disturbance error. Among them, the silicon temperature data is stored through the I2C-EEPROM circuit, and the relay output display signal and the communication with the main controller are realized; Among them, the specific steps of the fractional-order ant colony algorithm and the fuzzy neural network algorithm are as follows: S31: determining the fuzzy neural network topology in the fuzzy neural network algorithm, initializing the neural network parameters, selecting the learning rate and momentum factor, and outputting them to the fuzzy neural network algorithm for system input variables and the fractional ant colony algorithm for initialization parameters respectively; S32: After the fractional ant colony algorithm has initialized its parameters, it is determined whether the maximum number of iterations has been reached. If so, an approximate optimal solution for the network parameters is obtained and the fuzzy neural network algorithm is entered to input system variables. If not, iteration is performed. The iterative steps include: all m ants complete the journey and sort the results of the m ants; calculate the fractional pheromone increment and update the fractional pheromone; return the optimal path for the tth iteration; complete this iteration and determine whether the maximum number of iterations has been reached; S33: After the system inputs variables into the fuzzy neural network algorithm, fuzzy reasoning is performed to calculate the error; S34: Fine-tune the BP algorithm and update parameter c ij , b ij ,ω; S35: Determine whether the learning is finished, if so, the system outputs, if not, returns to S33.

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