Intelligent fault detection method and system for excitation system of blast furnace blower

Abstract

The invention provides an intelligent fault detection method and system for a blast furnace blower excitation system, and the method comprises the steps: building an excitation system fault diagnosis model through employing the primary and secondary three-phase voltage signals of an AC-AC voltage regulator, a three-phase excitation current, a zero-sequence current, the operation parameters of a synchronous motor, and the like, and carrying out the real-time monitoring of the state of the excitation system; in combination with setting of a technological process equipment threshold value, sub-health and abnormal events are generated according to data points exceeding a health threshold value to remind a user of processing, early warning and alarming are carried out on equipment faults in the production process, and the function of finding the faults of the air blower excitation system in time is achieved. The input and output signals of the AC-AC voltage regulator and the process data information of the blower are monitored in real time through the health monitoring picture, the data change trend is tracked, the latest dynamic state of the excitation system is updated in real time, the operation efficiency of the blast furnace blower system is improved, unit tripping is prevented, and the service life of the blast furnace is prolonged. And the influence of excitation system faults on blast furnace production is reduced.

Description

Technical Field

[0001] This invention belongs to the field of blast furnace blast technology, specifically relating to an intelligent fault detection method and system for the excitation system of a blast furnace blower. Background Technology

[0002] The blast furnace blower is the "heart" of the blast furnace and the most important power equipment for blast furnace smelting. It not only directly provides the oxygen needed for blast furnace smelting, but also provides the necessary power for the movement of the gas flow in the furnace to overcome the resistance of the burden column.

[0003] The blast furnace blower is driven by a large high-voltage synchronous motor. The air flow and pressure are adjusted by regulating the excitation current of the synchronous motor exciter. The synchronous motor excitation system adopts a brushless excitation method. The main equipment of the system includes a power supply UPS, AC voltage regulator, rectifier, exciter, etc. The stable operation of the excitation system equipment is directly related to the normal operation of the blower.

[0004] When the excitation system malfunctions, it can cause the unit to trip due to underexcitation, loss of excitation, or loss of synchronism. Electrical equipment faults can be categorized into sudden and non-sudden faults. Non-sudden faults often have early signs of failure. Given the characteristics of blast furnace production, when a sudden fault occurs and the unit trips, it is necessary to quickly identify the problem and restore production. Non-sudden faults require timely detection. Production can be maintained by starting standby units in advance or by adjusting the airflow of other units, followed by a quick shutdown to address the fault and restore production. However, the blast furnace blower excitation system is a long-term operating live equipment. Relying solely on point temperature monitoring and operational data is insufficient for predicting and diagnosing faults. Without reliable means to detect faults in a timely manner, judging excitation system faults is quite difficult, resulting in multiple shutdowns due to excitation system failures. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an intelligent detection method and system for faults in the excitation system of a blast furnace blower, which can be used to detect faults in the excitation system of the blower in a timely manner.

[0006] The technical solution adopted by this invention to solve the above-mentioned technical problems is as follows: a method for intelligent detection of faults in the excitation system of a blast furnace blower, comprising the following steps: S1: Collect real-time status data of the field excitation system, including the primary three-phase voltage, secondary three-phase voltage, three-phase excitation current, excitation zero-sequence current, and trigger board setpoint signal of the AC-AC voltage regulator; S2: Read the synchronous motor operating data of the blower PLC control system, including active power, reactive power, voltage, current and power factor; S3: Based on the data relationship between the real-time status data of the excitation system and the synchronous motor operation data, establish an intelligent fault diagnosis model for the blast furnace blower excitation system to detect potential anomalies in the excitation system and provide fault warnings. S4: Real-time monitoring of the operating status of key equipment in the excitation system, and presentation of system monitoring and fault warning results to operators through the monitoring interface.

[0007] According to the above scheme, in step S3, a subsystem diagnostic model is established in the intelligent fault diagnosis model of the blast furnace blower excitation system, including a trigger board fault diagnosis model, a rectifier diode non-conducting fault diagnosis model, a rectifier diode reverse breakdown fault diagnosis model, an exciter stator grounding fault diagnosis model, an AC-AC voltage regulator thyristor breakdown fault diagnosis model, and a UPS output three-phase voltage imbalance fault diagnosis model.

[0008] Furthermore, in step S3, the trigger board fault diagnosis model is as follows: When at least one of the six pulses from the AC voltage regulator trigger board is lost, one phase of the three bidirectional thyristor outputs will not conduct, resulting in the loss of half-wave of the secondary three-phase voltage; at the same time, the three-phase excitation current will also decrease accordingly. If the threshold for determining the decrease is that the difference between the current and the average value of the three-phase current is greater than 20% of the average value of the three-phase current, then the trigger board is judged to be faulty.

[0009] Furthermore, in step S3, the fault diagnosis model for the rectifier disk diode not conducting is as follows: When at least one of the rectifier diodes in the exciter is not conducting, the secondary three-phase voltage is balanced. Let the threshold for determining balance be that the difference between the diode and the average three-phase voltage is less than 5% of the average three-phase voltage. The excitation current of the phase corresponding to the non-conducting rectifier diode decreases. Let the threshold for determining decrease be that the difference between the diode and the average three-phase current is greater than 20% of the average three-phase current. Then, the fault is determined to be that the rectifier diode is not conducting.

[0010] Furthermore, in step S3, the rectifier disk diode reverse breakdown fault diagnosis model is as follows: When at least one of the rectifier diodes in the exciter is reverse-broken, the output of the AC-AC voltage regulator is short-circuited in the broken-down phase, and the secondary three-phase voltage is unbalanced. Let the threshold for determining the imbalance be that the difference between the voltage and the average three-phase voltage is greater than 50% of the average three-phase voltage; the excitation current of the corresponding phase increases. Let the threshold for determining the increase be that the difference between the current and the average three-phase current is greater than 50% of the average three-phase current; then the rectifier diode is determined to be reverse-broken.

[0011] Furthermore, in step S3, the exciter stator grounding fault diagnosis model is as follows: When the stator of the exciter is grounded at a single point, the three-phase excitation current output by the AC voltage regulator is balanced. If the threshold for determining balance is that the excitation current of each phase is less than 5% of the average value of the three-phase current, and the excitation zero-sequence current is greater than the set threshold, then the exciter stator is judged to be grounded.

[0012] Furthermore, in step S3, the diagnostic model for the thyristor breakdown of the AC-AC voltage regulator is as follows: When the AC-AC voltage regulator is working normally, and at least one of the SCRs is reversed due to a breakdown fault, the AC-AC voltage regulator outputs full voltage for the phase corresponding to the breakdown fault; then it is determined that the AC-AC voltage regulator has a SCR breakdown fault.

[0013] Furthermore, in step S3, the fault diagnosis model for the three-phase voltage imbalance at the UPS output is as follows: When the three-phase voltage exceeds 20% of the average three-phase voltage, a three-phase voltage imbalance fault is identified in the UPS output.

[0014] A fault intelligent detection system for the excitation system of a blast furnace blower. The field acquisition submodule is used to collect real-time status data of the field excitation system, including the primary three-phase voltage, secondary three-phase voltage, three-phase excitation current, excitation zero-sequence current, and trigger board setpoint signal of the AC-AC voltage regulator; The motor acquisition submodule is used to read the synchronous motor operating data of the blower PLC control system, including active power, reactive power, voltage, current and power factor. The analysis and early warning submodule is used to establish an intelligent fault diagnosis model for the blast furnace blower excitation system based on the data relationship between the real-time status data of the excitation system and the synchronous motor operation data, to detect potential anomalies in the excitation system and provide fault early warning. The display submodule is used to monitor the operating status of key equipment in the excitation system in real time, and present the system monitoring and fault warning results to the operators through the monitoring interface.

[0015] A computer memory storing a computer program executable by a computer processor, the computer program executing an intelligent fault detection method for a blast furnace blower excitation system.

[0016] The beneficial effects of this invention are as follows: 1. The present invention provides an intelligent fault detection method and system for the excitation system of a blast furnace blower. It utilizes characteristic parameters such as the primary and secondary three-phase voltage signals of the AC-AC voltage regulator, the three-phase excitation current, the zero-sequence current, and the operating parameters of the synchronous motor to establish a fault diagnosis model for the excitation system, enabling real-time monitoring of the excitation system status. Combined with the setting of thresholds for process flow equipment, it generates sub-health and abnormal event alerts based on data points exceeding health thresholds, prompting users to handle these issues. This provides early warning and alarms for equipment faults in the production process, achieving the function of timely detection of blower excitation system faults.

[0017] 2. This invention monitors the given signal I of the AC voltage regulator in real time through a health monitoring screen. m , AC voltage regulator input voltage (U L1 U L2 U L3 ), output voltage (U) u U v U w ), excitation output current (I) u I v I w The system tracks data such as excitation zero-sequence current I0, blower intake air volume Q, synchronous motor stator current I, and synchronous motor power factor PE, and updates the latest dynamics of the excitation system in real time. This improves the operating efficiency of the blast furnace blower system, prevents unit tripping, and reduces the impact of excitation system failures on blast furnace production.

[0018] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of the intelligent detection device for the excitation system of the blast furnace blower according to an embodiment of the present invention.

[0022] Figure 3 This is a fault diagnosis model diagram of the blast furnace blower excitation system according to an embodiment of the present invention.

[0023] Figure 4 This is a logic diagram of the trigger board fault algorithm in an embodiment of the present invention.

[0024] Figure 5 This is a logic diagram of the rectifier disk diode non-conductivity fault algorithm in an embodiment of the present invention.

[0025] Figure 6 This is a logic diagram of the reverse breakdown fault algorithm for the rectifier disk diode in an embodiment of the present invention.

[0026] Figure 7 This is a logic diagram of the exciter stator grounding fault algorithm according to an embodiment of the present invention.

[0027] Figure 8 This is a logic diagram of the thyristor breakdown fault algorithm for the AC-AC voltage regulator according to an embodiment of the present invention.

[0028] Figure 9 This is a logic diagram of the UPS output three-phase voltage imbalance fault algorithm according to an embodiment of the present invention. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0030] Example 1 See Figure 1 The specific steps of a method for intelligent fault detection in the excitation system of a blast furnace blower are as follows: S1: Collect real-time status data of the field excitation system, including the primary three-phase voltage, secondary three-phase voltage, three-phase excitation current, excitation zero-sequence current, and trigger board setpoint signal of the AC-AC voltage regulator; S2: Read the synchronous motor operating data of the blower PLC control system, including active power, reactive power, voltage, current and power factor; S3: Based on the data relationship between the real-time status data of the excitation system and the synchronous motor operation data, establish an intelligent fault diagnosis model for the blast furnace blower excitation system to detect potential anomalies in the excitation system and provide fault warnings. S4: Real-time monitoring of the operating status of key equipment in the excitation system, and presentation of system monitoring and fault warning results to operators through the monitoring interface.

[0031] Furthermore, in step S3, a subsystem diagnostic model is established in the intelligent fault diagnosis model of the blast furnace blower excitation system, including a trigger board fault diagnosis model, a rectifier diode non-conducting fault diagnosis model, a rectifier diode reverse breakdown fault diagnosis model, an exciter stator grounding fault diagnosis model, an AC-AC voltage regulator thyristor breakdown fault diagnosis model, and a UPS output three-phase voltage imbalance fault diagnosis model.

[0032] Furthermore, in step S3, the trigger board fault diagnosis model is as follows: When at least one of the six pulses from the AC voltage regulator trigger board is lost, one phase of the three bidirectional thyristor outputs will not conduct, resulting in the loss of half-wave of the secondary three-phase voltage; at the same time, the three-phase excitation current will also decrease accordingly. If the threshold for determining the decrease is that the difference between the current and the average value of the three-phase current is greater than 20% of the average value of the three-phase current, then the trigger board is judged to be faulty.

[0033] Furthermore, in step S3, the fault diagnosis model for the rectifier disk diode not conducting is as follows: When at least one of the rectifier diodes in the exciter is not conducting, the secondary three-phase voltage is balanced. Let the threshold for determining balance be that the difference between the diode and the average three-phase voltage is less than 5% of the average three-phase voltage. The excitation current of the phase corresponding to the non-conducting rectifier diode decreases. Let the threshold for determining decrease be that the difference between the diode and the average three-phase current is greater than 20% of the average three-phase current. Then, the fault is determined to be that the rectifier diode is not conducting.

[0034] Furthermore, in step S3, the rectifier diode reverse breakdown fault diagnosis model is as follows: When at least one of the rectifier diodes in the exciter is reverse-broken, the output of the AC-AC voltage regulator is short-circuited in the broken-down phase, and the secondary three-phase voltage is unbalanced. Let the threshold for determining the imbalance be that the difference between the voltage and the average three-phase voltage is greater than 50% of the average three-phase voltage; the excitation current of the corresponding phase increases. Let the threshold for determining the increase be that the difference between the current and the average three-phase current is greater than 50% of the average three-phase current; then the rectifier diode is determined to be reverse-broken.

[0035] Furthermore, in step S3, the exciter stator grounding fault diagnosis model is as follows: When the stator of the exciter is grounded at a single point, the three-phase excitation current output by the AC voltage regulator is balanced. If the threshold for determining balance is that the excitation current of each phase is less than 5% of the average value of the three-phase current, and the excitation zero-sequence current is greater than the set threshold, then the exciter stator is judged to be grounded.

[0036] Furthermore, in step S3, the diagnostic model for the thyristor breakdown of the AC-AC voltage regulator is as follows: When the AC-AC voltage regulator is working normally, and at least one of the SCRs is reversed due to a breakdown fault, the AC-AC voltage regulator outputs full voltage for the phase corresponding to the breakdown fault; then it is determined that the AC-AC voltage regulator has a SCR breakdown fault.

[0037] Furthermore, in step S3, the fault diagnosis model for the three-phase voltage imbalance at the UPS output is as follows: When the three-phase voltage exceeds 20% of the average three-phase voltage, a three-phase voltage imbalance fault is identified in the UPS output.

[0038] This embodiment utilizes characteristic parameters such as the primary and secondary three-phase voltage signals of the AC-AC voltage regulator, the three-phase excitation current, the zero-sequence current, and the operating parameters of the synchronous motor to establish an excitation system fault diagnosis model, enabling real-time monitoring of the excitation system status. Combined with the setting of thresholds for process equipment, it generates sub-health and abnormal event alerts based on data points exceeding health thresholds, prompting users to take action. This provides early warnings and alarms for equipment faults in the production process, achieving the function of timely detection of blower excitation system faults.

[0039] Example 2 The steps in this embodiment are the same as in Embodiment 1, except that each step is applied to a specific instance: Real-time data from the blower's PLC process data is combined with real-time data from the on-site excitation system collected by an intelligent excitation data acquisition terminal to establish a real-time monitoring model for the blower's excitation system data. Specifically, the following steps are included: S1: Collect real-time status data of the field excitation system, including the input voltage of the AC-AC voltage regulator (i.e., primary three-phase voltage, UPS output three-phase voltage (U)). L1 U L2 U L3 Output voltage (i.e., secondary three-phase voltage, AC-AC voltage regulator output three-phase voltage (U)) u U v U w The output three-phase excitation current (I) u I v I w The output excitation zero-sequence current (I0) and the trigger board setpoint signal I m ; S2: Read the synchronous motor operating data of the blower PLC control system (including active power P, reactive power Q, voltage U, current I, and power factor PF, etc.). S3: Based on AI neural networks, using big data and machine learning methods, combined with practical cases, to find the given signal I of the AC-AC voltage regulator. m , AC voltage regulator input voltage (U L1 U L2 U L3 ), output voltage (U) u U v U w ), excitation output current (I) u I v I w Based on the data relationships between the excitation zero-sequence current I0 and the blower intake air volume Q, the synchronous motor stator current I, and the synchronous motor power factor PE, an intelligent fault diagnosis model for the blast furnace blower excitation system is established. (See [reference]). Figure 3 This allows for the discovery of potential anomalies in the excitation system, the provision of guidance, and the realization of intelligent diagnosis.

[0040] See Figures 4 to 9 The system monitors the operating status of key equipment in the excitation system in real time through the established subsystem diagnostic model, and pushes the monitoring data and diagnostic results to the data acquisition server.

[0041] Trigger board fault diagnosis mechanism: When at least one of the six pulses of the AC-AC voltage regulator trigger board is lost, one phase of the three bidirectional thyristor outputs will not conduct, resulting in (U u or U v or U w Half-wave loss, and at the same time, excitation current (I) u I v I w The threshold is also reduced accordingly (the difference between the current and the average three-phase current is set to be greater than 20% of the average three-phase current), through... Figure 4 The trigger board fault algorithm logic is used to determine trigger board faults and implement early warning function.

[0042] Rectifier diode conduction failure mechanism: When at least one rectifier diode in the exciter rectifier disk is not conducting, the AC voltage regulator output (U... u or U v or U w The basic balance is achieved (the threshold is set at a difference of less than 5% of the average three-phase voltage). Because the rectifier diodes are not conducting, the corresponding phase current will decrease significantly (the threshold is set at a difference of more than 20% of the average three-phase current). Figure 5 The algorithm logic for the rectifier diode non-continuity fault can determine the fault and realize the early warning function.

[0043] Reverse breakdown fault mechanism of rectifier diode: When at least one rectifier diode in the exciter rectifier disk is reverse broken down, the output phase of the AC-AC voltage regulator is short-circuited (U u U v U w Imbalance (a threshold is set where the difference between the current and the average three-phase voltage is greater than 50% of the average three-phase voltage) will cause a significant increase in the corresponding phase current (a threshold is set where the difference between the current and the average three-phase current is greater than 50% of the average three-phase current). Figure 6 The algorithm logic for reverse breakdown fault of rectifier diodes can identify the fault and provide an early warning function.

[0044] Exciter stator grounding fault mechanism: When the exciter stator is grounded at a single point, the three-phase current output by the AC-AC voltage regulator is basically balanced (I u I v I w(All set thresholds are less than 5% of the average three-phase current), and the zero-sequence current I0 is greater than the set value (set threshold is greater than 100mA). Figure 7 The exciter stator grounding fault algorithm logic can identify the fault and realize the early warning function.

[0045] The fault mechanism of the thyristor breakdown in the AC-AC voltage regulator: When the AC-AC voltage regulator is working normally, (U u U v U w Within the normal operating range, with a threshold set at an average three-phase voltage greater than 100V and less than 200V, when at least one thyristor breaks down in reverse, the AC-AC voltage regulator outputs the full voltage of the corresponding phase when it breaks down. (U) L1 -U u or U L2 -U v or U L3 -U w The difference is basically 0 (the threshold is set to be less than 10V), through Figure 8 The algorithm logic for the thyristor breakdown fault of the AC voltage regulator can determine the fault and realize the early warning function.

[0046] UPS three-phase output voltage imbalance fault mechanism: When the input voltage of the AC voltage regulator (U L1 or U L2 or U L3 When the voltage exceeds a certain value (a threshold of 20% above the three-phase average), a three-phase voltage imbalance fault in the UPS output can be identified. Figure 9 The UPS output three-phase voltage imbalance fault algorithm logic can identify the fault and realize the early warning function.

[0047] S4: Present system monitoring and fault warning results to operators through the monitoring interface.

[0048] This embodiment monitors the voltage regulator's input signal I in real time via a health monitoring screen. m , AC voltage regulator input voltage (U L1 U L2 U L3 ), output voltage (U) u U v U w ), excitation output current (I) u I v I w The system tracks data such as excitation zero-sequence current I0, blower intake air volume Q, synchronous motor stator current I, and synchronous motor power factor PE, and updates the latest dynamics of the excitation system in real time. This improves the operating efficiency of the blast furnace blower system, prevents unit tripping, and reduces the impact of excitation system failures on blast furnace production.

[0049] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0050] Example 3 This embodiment is used to implement the principles of the above method embodiments to construct an intelligent fault detection system for the excitation system of a blast furnace blower, such as... Figure 2 As shown, it includes a field acquisition terminal, a data analysis and processing unit, and a display layer.

[0051] The field acquisition terminal is an intelligent excitation data acquisition terminal installed in the excitation AC-AC voltage regulator cabinet of the blower excitation system. It collects the input voltage, output voltage, excitation output current, and excitation zero-sequence current signals of the AC-AC voltage regulator through the cabinet wiring. This data is used for real-time acquisition, diagnostic analysis, and transmission of the equipment and operating status of the blower excitation system to a data acquisition server. The intelligent excitation data acquisition terminal is a smart data acquisition terminal with real-time industrial field data acquisition, processing, and communication functions. It possesses intelligent equipment functions such as real-time acquisition, automatic storage, instant display, instant feedback, automatic process processing, and automatic transmission. The intelligent excitation data acquisition terminal uses an intelligent single-chip microcomputer with a built-in voltage and current acquisition unit.

[0052] The data analysis and processing unit is a data acquisition server. The data acquisition server communicates with the blower PLC control system via the OPC DCOM protocol to acquire data such as the PLC's AC-AC voltage regulator setpoint signal, blower intake air volume Q, synchronous motor stator current I, and synchronous motor power factor PE. Combining process logic and physical characteristics, it performs health diagnosis analysis, excitation system equipment status and operation data analysis, and early warning analysis through algorithm modeling. It establishes an intelligent detection system for the blast furnace blower excitation system and sends the analysis results to the host computer.

[0053] The presentation layer is the monitoring interface of the host computer, used to present system monitoring and fault warning results to operators.

[0054] Each submodule is mainly used to implement the various steps of the method implementation, which will not be elaborated here.

[0055] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.

[0056] This embodiment also includes a processor, a communication interface, a memory, and a communication bus; wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor performs the steps of a method for intelligent fault detection of a blast furnace blower excitation system.

[0057] This embodiment also provides a computer-readable storage medium storing executable instructions thereon, which, when executed by a processor, enable the processor to implement an intelligent fault detection method for the excitation system of a blast furnace blower.

[0058] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.

[0059] Furthermore, this application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0060] This application is described with reference to the flowchart of the method and computer program product according to Embodiment 1 and the block diagram of the device (system) according to Embodiment 3. It should be understood that each step or block in the flowchart or block diagram, as well as combinations of steps or blocks in the flowchart or block diagram, can be implemented by computer program instructions.

[0061] These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which are executable by the processor of the computer or other programmable data processing device, produce instructions for implementing the process. Figure 1 One or more processes or boxes Figure 1 A fault intelligent detection system for the excitation system of a blast furnace blower, which specifies the functions in one or more boxes.

[0062] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes or boxes Figure 1 The function specified in one or more boxes.

[0063] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes or boxes Figure 1 The steps of an intelligent fault detection method for a blast furnace blower excitation system are specified in one or more boxes.

[0064] The above embodiments are only used to illustrate the design concept and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. The protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications made based on the principles and design ideas disclosed in the present invention are within the protection scope of the present invention.

Claims

1. A method for intelligent fault detection in the excitation system of a blast furnace blower, characterized in that: Includes the following steps: S1: Collect real-time status data of the field excitation system, including the primary three-phase voltage, secondary three-phase voltage, three-phase excitation current, excitation zero-sequence current, and trigger board setpoint signal of the AC-AC voltage regulator; S2: Read the synchronous motor operating data of the blower PLC control system, including active power, reactive power, voltage, current and power factor; S3: Based on the data relationship between the real-time status data of the excitation system and the synchronous motor operation data, establish an intelligent fault diagnosis model for the blast furnace blower excitation system to detect potential anomalies in the excitation system and provide fault warnings. S4: Real-time monitoring of the operating status of key equipment in the excitation system, and presentation of system monitoring and fault warning results to operators through the monitoring interface.

2. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 1, characterized in that: In step S3, a subsystem diagnostic model is established in the intelligent fault diagnosis model of the blast furnace blower excitation system, including a trigger board fault diagnosis model, a rectifier diode non-conducting fault diagnosis model, a rectifier diode reverse breakdown fault diagnosis model, an exciter stator grounding fault diagnosis model, an AC-AC voltage regulator thyristor breakdown fault diagnosis model, and a UPS output three-phase voltage imbalance fault diagnosis model.

3. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the trigger board fault diagnosis model is as follows: When at least one of the six pulses from the AC voltage regulator trigger board is lost, one phase of the three bidirectional thyristor outputs will not conduct, resulting in the loss of half-wave of the secondary three-phase voltage; at the same time, the three-phase excitation current will also decrease accordingly. If the threshold for determining the decrease is that the difference between the current and the average value of the three-phase current is greater than 20% of the average value of the three-phase current, then the trigger board is judged to be faulty.

4. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the fault diagnosis model for the rectifier disk diode not conducting is as follows: When at least one of the rectifier diodes in the exciter is not conducting, the secondary three-phase voltage is balanced. Let the threshold for determining balance be that the difference between the diode and the average three-phase voltage is less than 5% of the average three-phase voltage. The excitation current of the phase corresponding to the non-conducting rectifier diode decreases. Let the threshold for determining decrease be that the difference between the diode and the average three-phase current is greater than 20% of the average three-phase current. Then, the fault is determined to be that the rectifier diode is not conducting.

5. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the rectifier diode reverse breakdown fault diagnosis model is as follows: When at least one of the rectifier diodes in the exciter is reverse-broken, the output of the AC-AC voltage regulator is short-circuited in the broken-down phase, and the secondary three-phase voltage is unbalanced. Let the threshold for determining the imbalance be that the difference between the voltage and the average three-phase voltage is greater than 50% of the average three-phase voltage; the excitation current of the corresponding phase increases. Let the threshold for determining the increase be that the difference between the current and the average three-phase current is greater than 50% of the average three-phase current; then the rectifier diode is determined to be reverse-broken.

6. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the exciter stator grounding fault diagnosis model is as follows: When the stator of the exciter is grounded at a single point, the three-phase excitation current output by the AC voltage regulator is balanced. If the threshold for determining balance is that the excitation current of each phase is less than 5% of the average value of the three-phase current, and the excitation zero-sequence current is greater than the set threshold, then the exciter stator is judged to be grounded.

7. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the diagnostic model for the thyristor breakdown of the AC-AC voltage regulator is as follows: When the AC-AC voltage regulator is working normally, and at least one of the SCRs is reversed due to a breakdown fault, the AC-AC voltage regulator outputs full voltage for the phase corresponding to the breakdown fault; then it is determined that the AC-AC voltage regulator has a SCR breakdown fault.

8. The intelligent fault detection method for the excitation system of a blast furnace blower according to claim 2, characterized in that: In step S3, the fault diagnosis model for the three-phase voltage imbalance of the UPS output is as follows: When the three-phase voltage exceeds 20% of the average three-phase voltage, a three-phase voltage imbalance fault is identified in the UPS output.

9. A fault intelligent detection system for the excitation system of a blast furnace blower, characterized in that: The field acquisition submodule is used to collect real-time status data of the field excitation system, including the primary three-phase voltage, secondary three-phase voltage, three-phase excitation current, excitation zero-sequence current, and trigger board setpoint signal of the AC-AC voltage regulator; The motor acquisition submodule is used to read the synchronous motor operating data of the blower PLC control system, including active power, reactive power, voltage, current and power factor. The analysis and early warning submodule is used to establish an intelligent fault diagnosis model for the blast furnace blower excitation system based on the data relationship between the real-time status data of the excitation system and the synchronous motor operation data, to detect potential anomalies in the excitation system and provide fault early warning. The display submodule is used to monitor the operating status of key equipment in the excitation system in real time, and present the system monitoring and fault warning results to the operators through the monitoring interface.

10. A computer memory, characterized in that: It contains a computer program that can be executed by a computer processor, which executes a method for intelligent fault detection of the excitation system of a blast furnace blower as described in any one of claims 1 to 8.

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