Multi-stage early warning system and method based on CLCC valve hall multi-environment parameters

Abstract

The invention relates to a multi-stage early warning system and method based on CLCC valve hall multi-environment parameters. The system comprises a multi-environment parameter acquisition module, a data processing module and a multi-stage early warning module which are connected in sequence. The multi-environment parameter acquisition module is used for acquiring multi-environment parameters of temperature, humidity and an electromagnetic field in the CLCC valve hall in real time; and the data processing module is used for comprehensively analyzing the acquired data received from the multi-environment parameter acquisition module by adopting a trained multi-environment parameter collaborative analysis model, and sending a comprehensive analysis result to the multi-level early warning module in real time so as to trigger early warning of different levels. Compared with the prior art, the method has the advantages that multi-stage early warning is timely and accurate, the operation efficiency and safety of the CLCC are improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of controllable phase-commutation converters, and in particular to a multi-level early warning system and method based on multiple environmental parameters of a controllable phase-commutation converter valve hall. Background Art

[0002] With the continuous development of power systems, the requirements for the safety and reliability of power equipment are becoming higher and higher. As an important power electronic device in high-voltage direct current transmission systems that can avoid commutation failures, the performance and stability of the controllable line commutated converter (CLCC) directly affect the safe operation of the power system. The maintenance cycle of the CLCC converter valve is long and requires a lot of funds. Once a failure occurs, it will have a great impact on the entire power system. However, the working environment of CLCC is complex and may be affected by factors such as temperature, humidity, and electromagnetic fields during operation, resulting in equipment performance degradation or even failure. Therefore, the development of a system that can monitor the key environmental parameters of CLCC in real time and issue early warnings in a timely manner is of great significance to ensure the safe and stable operation of the power system.

[0003] Traditional early warning systems often rely on the monitoring of a single parameter, but the environment of the CLCC valve hall is complex and changeable, and the credibility of a single parameter indication is low, making it difficult to provide an accurate reference for the CLCC early warning, which is prone to the adverse consequences of false alarms, delaying manpower and material resources, and causing unnecessary trouble. In order to monitor the equipment status more accurately and timely, the early warning system for CLCC needs to obtain real-time data, and requires the coordinated analysis and integration of multiple environmental parameters to effectively provide early warnings to avoid aggravation of faults and expansion of losses. At the same time, the control of the single-level early warning system is not precise enough, and different early warning measures should be taken for parameter exceeding the limit of different severity. The mutual cooperation of each level in the multi-level early warning system can improve the accuracy and reliability of the early warning and avoid system instability caused by excessive early warnings.

[0004] Although the design and application of early warning systems have been widely studied and practiced in many fields, the indicator system and early warning process of other early warning systems cannot be simply copied for the specific scenarios and needs of CLCC equipment. At present, there is still a lack of an early warning system that can monitor multiple environmental parameters in real time, conduct multi-parameter collaborative analysis, and adopt a multi-level early warning mechanism. Therefore, it is of great significance and practical value to develop a system specifically for CLCC equipment.

[0005] After searching, Chinese invention patent publication number CN112147465B discloses a method for early warning of the operating environment of the valve hall of a converter station based on time series and horizontal comparison, which involves the field of direct current transmission technology, including: obtaining historical environmental parameters in the valve hall, wherein the environmental parameters include but are not limited to: temperature, humidity, PM2.5 and salt density; constructing a prediction model based on the time series of the valve hall environmental parameters; training the prediction model according to the historical environmental parameters; collecting the environmental parameters in the current valve hall, and sending them to the prediction model to obtain the environmental parameters at the next moment; issuing an early warning based on the environmental parameters obtained at the next moment; using a variety of sensors in the valve hall of the converter valve to collect the temperature and humidity of the valve hall, particulate matter, and the contamination degree of the surface of the circuit board, and on the basis of online monitoring of the valve hall environment, analyzing the monitoring data, using a time series algorithm to predict the valve hall environment, and comparing the valve hall environmental parameters at multiple locations at the same time, which can further discover the hidden dangers hidden in the stable growth of the monitoring data. This existing patent has the problem that no collaborative analysis is performed and the alarm is not classified in detail.

[0006] How to realize a multi-level early warning system based on multiple environmental parameters of the CLCC valve hall has become a technical problem that needs to be solved. Summary of the invention

[0007] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a multi-level early warning system and method based on multiple environmental parameters of a controllable phase-commutating converter valve hall.

[0008] The purpose of the present invention can be achieved by the following technical solutions:

[0009] According to one aspect of the present invention, a multi-level early warning system based on multiple environmental parameters of a controllable phase-commutated converter valve hall is provided, the system comprising a multi-environmental parameter acquisition module, a data processing module and a multi-level early warning module connected in sequence;

[0010] The multi-environmental parameter acquisition module is used to collect the multi-environmental parameters of temperature, humidity and electromagnetic field in the CLCC valve hall in real time;

[0011] The data processing module performs comprehensive analysis on the collected data received from the multi-environment parameter collection module using a trained multi-environment parameter collaborative analysis model, and sends the comprehensive analysis results to the multi-level warning module in real time to trigger warnings of different levels.

[0012] Preferably, the data processing module uses a random forest machine learning model to train the multi-environment parameter collaborative analysis model to obtain the influencing factors of temperature, humidity, and electromagnetic field on CLCC, integrates prior knowledge and monitoring data, performs multi-environment parameter collaborative analysis, continuously predicts and updates the system status, and sends the analysis results to the multi-level early warning module.

[0013] More preferably, the collaborative analysis process includes:

[0014] First, the collected data is preprocessed, wherein the preprocessing includes filtering out the noise of the electromagnetic field data;

[0015] Then, the time series features of multiple environmental parameters are extracted from the preprocessed data, and the timestamps of all parameters are aligned;

[0016] Next, the timestamps of all parameters are synchronized with the system working status using spline interpolation, and the frequency spectra of temperature, humidity, and electromagnetic field signals are extracted using Fourier transform;

[0017] Finally, using data fusion technology, based on the collaborative analysis model of multiple environmental parameters, the impact of multiple environmental parameters such as temperature, humidity and electromagnetic field on CLCC is comprehensively analyzed, that is, assuming that the impact factors of temperature, humidity and electromagnetic field on CLCC are α T , α H and α E , then the comprehensive impact of the synergistic effect of multiple environmental parameters is expressed as:

[0018] Y=α T f(T)+α H f(H)+α E ·f(E)

[0019] Among them, f(T), f(H) and f(E) are the time series characteristic functions of temperature, humidity and electromagnetic field respectively.

[0020] Preferably, the multi-level warning module automatically matches the corresponding warning level according to the current multi-environment parameters and comprehensive analysis results, wherein the warning level is divided into three levels of warning, from light to heavy severity, namely, level one warning, level two warning and abnormal warning.

[0021] More preferably, the first-level warning is triggered when any of the following conditions is met:

[0022] The current or voltage exceeds the set electrical threshold A1 and the duration is less than the first time threshold T1;

[0023] The temperature rise between the two measurements exceeds the set temperature threshold B1;

[0024] The humidity exceeds the set humidity threshold C1.

[0025] More preferably, the secondary warning is triggered when any of the following conditions is met:

[0026] The current or voltage exceeds the set electrical threshold A1 and lasts longer than the second time threshold T2;

[0027] The temperature exceeds the set temperature threshold B2 but is less than the upper limit of the safe operating range of the device, and the duration exceeds the third time threshold T3;

[0028] The humidity exceeds the set humidity threshold C2, and the duration exceeds the fourth time threshold T4.

[0029] More preferably, the abnormal warning is triggered when any of the following conditions is met:

[0030] If any multi-environmental parameter at a key monitoring point in a controllable commutation converter exceeds a set ratio threshold of a corresponding rated value, it is judged as a serious over-limit;

[0031] A certain parameter at multiple monitoring points or multiple environmental parameters at the same monitoring point triggers the second-level warning at the same time.

[0032] According to another aspect of the present invention, a multi-level early warning method based on multiple environmental parameters of a controllable phase-commutated converter valve hall is provided, the method comprising:

[0033] Step S1, initialization of each module;

[0034] Step S2, collecting multiple environmental parameters, wherein the multiple environmental parameters include temperature, humidity and electromagnetic field;

[0035] Step S3, preprocessing, feature extraction, and timestamp alignment of the collected data, and using the training multi-environment parameter collaborative analysis model to perform multi-environment parameter collaborative analysis;

[0036] Step S4, automatically matching the corresponding warning level according to the multi-environment parameters and collaborative analysis results, and performing emergency response and fault handling.

[0037] Preferably, when the abnormal warning is triggered and manual intervention is ineffective, the system's built-in automatic emergency program will be triggered, including reducing equipment power, cutting off dangerous power supplies and / or starting a backup system.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1) Aiming at the complex environment of CLCC, the present invention ensures immediate response to changes in the operating environment by real-time monitoring of multiple environmental parameters such as temperature, humidity, and electromagnetic field in the CLCC valve hall; a trained multi-environmental parameter collaborative analysis model is used for comprehensive analysis, and the comprehensive analysis results are sent to a multi-level early warning module in real time to trigger early warnings at different levels, effectively avoiding equipment failures that may be caused by untimely early warnings, improving the operating efficiency and safety of CLCC, and reducing potential downtime and maintenance costs.

[0040] 2) The present invention can more comprehensively and accurately evaluate the operating status of CLCC and valve hall through collaborative analysis of multiple environmental parameters, and provide more accurate early warning information. The method of collaborative analysis of temperature, humidity, and electromagnetic field multiple environmental parameters avoids the misjudgment that may be caused by single parameter analysis, improves the accuracy and reliability of early warning, and helps operation and maintenance personnel to promptly discover and solve potential problems and ensure the stable operation of CLCC.

[0041] 3) The present invention adopts a multi-level warning design, which is divided into primary warning, secondary warning and abnormal alarm according to the severity of environmental parameter anomalies, ensuring the hierarchy and pertinence of warning information; different levels of warnings correspond to different response measures, and operation and maintenance personnel can take corresponding treatment measures according to the severity of the warning; the multi-level warning design not only improves the flexibility and adaptability of the warning, but also avoids unnecessary emergency response, reduces the workload of operation and maintenance personnel, and ensures the safe and stable operation of CLCC under various circumstances. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a structural schematic diagram of the early warning system in the present invention;

[0043] Figure 2 It is a design diagram of the early warning process in the present invention;

[0044] Figure 3 It is a schematic diagram of the warning classification process of the multi-level warning module in the present invention;

[0045] In the accompanying drawings, 1 is a power module, 2 is a multi-environment parameter acquisition module, 21 is a temperature sensor, 22 is a humidity sensor, 23 is an electromagnetic field sensor, 3 is a data processing module, 4 is a multi-level warning module, 5 is a storage module, 6 is a communication module, and 7 is a user visualization module. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work should fall within the scope of protection of the present invention.

[0047] The present invention monitors the temperature, humidity, electromagnetic field and other environmental parameters of the valve hall of the controllable commutation converter (CLCC) in real time, and uses the collaborative analysis of multiple environmental parameters, adopts a multi-level early warning design, comprehensively evaluates the operating status of the CLCC and the valve hall, and issues corresponding early warnings in time according to the multi-level early warning design when an abnormality is detected, thereby improving the accuracy and reliability of the early warning. The present invention can respond to changes in the operating environment in a timely manner, avoid equipment failures caused by untimely early warnings, improve the operating efficiency and safety of the CLCC, reduce potential downtime and maintenance costs, and reduce the workload of operation and maintenance personnel, ensuring the stable operation of the CLCC.

[0048] Example 1

[0049] The present embodiment relates to a multi-level early warning system based on multiple environmental parameters of a controllable phase-commutating converter valve hall. By real-time monitoring of multiple environmental parameters such as temperature, humidity, and electromagnetic field, a multi-level early warning mechanism is triggered according to conditions after data processing. All real-time parameters and preset parameters are stored in a storage module and finally displayed in a user visualization module to ensure safe and stable operation of the CLCC valve hall.

[0050] like Figure 1 The early warning system includes: a power supply module 1, a multi-environment parameter acquisition module 2, a data processing module 3, a multi-level early warning module 4, a storage module 5, a communication module 6 and a user visualization module 7.

[0051] The power supply module 1 adopts an alternating current power supply mode with a voltage of 220V and a frequency of 50Hz to supply power to the multi-environment parameter acquisition module 2, the data processing module 3, the multi-level warning module 4, the storage module 5, the communication module 6 and the user visualization module 7.

[0052] The multi-environmental parameter acquisition module 2 is used to collect key environmental parameters such as temperature, humidity, electromagnetic field, etc. in the CLCC valve hall, and includes a temperature sensor 21, a humidity sensor 22, an electromagnetic field sensor 23, etc. The multi-environmental parameter acquisition module 2 transmits the data monitored in real time by each sensor to the data processing module 3.

[0053] The data processing module 3 receives data from the multi-environment parameter acquisition module 2 in real time, and analyzes and processes the data. The data processing module 3 uses a random forest machine learning model, integrates prior knowledge and monitoring data, comprehensively evaluates each parameter, and continuously predicts and updates the system status to avoid misjudgments that may be caused by single parameter analysis. The data processing module 3 also needs to compare the parameters with the preset warning thresholds and output the analysis results to the multi-level warning module 4 in order to initiate the corresponding level of warning.

[0054] The multi-level warning analysis module 4 triggers warnings of different levels according to the analysis results output by the data processing module 3. The warning levels are divided into primary warning, secondary warning and abnormal alarm, and each level corresponds to different response measures.

[0055] The storage module 5 is responsible for recording and storing historical data for subsequent analysis. The data recorded by the storage module includes the original sensor data collected by the multi-environmental parameter acquisition module 2, the analysis results processed by the data processing module 3, the preset warning threshold of the early warning system for the CLCC valve hall, the trigger level and corresponding warning method of the multi-level early warning module, and the person in charge of early warning elimination and elimination method and other real-time information.

[0056] The communication module 6 is responsible for transmitting various types of information from the storage module 5 in the early warning system to the user visualization module 7, so as to facilitate the remote monitoring and management of the system by the operation and maintenance personnel. The communication module 6 supports a variety of communication methods and network environments, such as Ethernet, 5G network, Wi-Fi network, etc., to ensure the timely transmission of information. The communication module also uses encryption technology to ensure data security and prevent data from being illegally accessed or tampered with.

[0057] The user visualization module 7 is the display screen of the main control room, which is connected to the communication module 6 and displays the data in the storage module 5 in the form of intuitive pictures, tables or dynamics, which is conducive to monitoring the operation of the early warning system, facilitating timely clarification of the on-site situation when an early warning occurs, making responses and decisions, and also facilitating longitudinal analysis of the overall operation of CLCC.

[0058] Example 2

[0059] This embodiment relates to a multi-level early warning system based on multiple environmental parameters of a controllable phase-commutated converter valve hall. In order to better deal with abnormal situations of different severity, the early warning system is divided into three levels of early warning: first-level early warning, second-level early warning and abnormal early warning, such as Figure 2 and Figure 3 Each level of warning provides corresponding warnings and processing for different parameter out-of-limit situations, ensuring that timely measures can be taken to prevent equipment failures.

[0060] (1) Level 1 warnings are mainly for short-term minor parameter anomalies, reminding operation and maintenance personnel to pay attention to potential risks. A level 1 warning will be triggered when any of the following conditions are met:

[0061] a. Current / voltage over-limit: the current or voltage exceeds the set electrical threshold A1 but does not persist for a long time (i.e., the duration is less than the first time threshold T1);

[0062] b. Excessive temperature rise: The temperature rises too quickly, causing the temperature rise of the two measurements to exceed the set temperature threshold B1;

[0063] c. Excessive humidity: The ambient humidity exceeds the set humidity threshold C1.

[0064] Once a Level 1 warning is triggered, the warning system will simultaneously execute the following response measures:

[0065] a. Visual prompt: The early warning system displays a yellow warning sign on the user visualization module 7 to remind relevant personnel to pay attention to changes in the equipment status. At this time, the yellow sign does not flash, which serves as a reminder that the problem may develop further.

[0066] b. Information push: The early warning system sends a brief early warning reminder to the relevant responsible personnel or departments through the built-in communication module 6, including the type and value of the out-of-limit parameter and the current status of the equipment, so as to ensure timely inspection or further attention.

[0067] The purpose of the first level warning is to alert the operation and maintenance personnel to the possible risks of the system at an early stage, but because the impact is small, there is no need to take large-scale emergency measures immediately. The first level warning is to prevent small problems from accumulating into big problems and provide maintenance personnel with enough time to check.

[0068] (2) When the first-level warning is not handled in time or the parameter abnormality persists, the system will enter the second-level warning state. The second-level warning indicates that the system status has further deteriorated and requires more serious treatment and inspection. Any of the following conditions will trigger the second-level warning:

[0069] a. The current or voltage exceeds the limit for a long time: the current or voltage exceeds the set electrical threshold A1 continuously and the duration exceeds the second time threshold T2, where T2 is greater than T1;

[0070] b. Temperature rise exceeds the limit for a long time: the temperature continues to rise and approaches the upper limit of the safe working range of the device, that is, the temperature exceeds the set temperature threshold B2 and the duration exceeds the third time threshold T3, where B2 is greater than B1, but less than the upper limit of the safe working range of the device;

[0071] c. Humidity is too high for a long time: The ambient humidity is at a high level for a long time, which may have a significant impact on the insulation performance and operation stability of the equipment, that is, the ambient humidity exceeds the set humidity threshold C2 and lasts for more than the fourth time threshold T4.

[0072] Once the second-level warning is triggered, the warning system will simultaneously execute the following response measures:

[0073] a. Visual prompt: The early warning system will display a red warning sign on the user visualization module 7, and the sign will flash continuously to indicate the severity of the problem. The flashing red warning helps to increase the attention of the operation and maintenance personnel and prompt them to take action as soon as possible.

[0074] b. Information push: The early warning system sends more detailed early warning information through the communication module 6, including the duration of the abnormality, the specific over-limit value, potential equipment damage, etc. In addition, the system will also provide recommended treatment measures to help operation and maintenance personnel quickly respond to abnormal situations.

[0075] Level 2 warnings require operation and maintenance personnel to take immediate measures, such as reducing equipment load, adjusting environmental parameters, or checking related equipment components, to prevent the problem from further expanding. Level 2 warnings are serious warnings about the equipment status, but at this stage, the system can still avoid more serious consequences through manual intervention.

[0076] (3) Abnormal warning is the most serious warning level in the early warning system, which is used to deal with abnormal parameters of key sites or multiple parameters. In this case, the equipment operation is in an extremely dangerous state and serious failures or shutdown accidents may occur at any time. Any of the following conditions will trigger an abnormal warning:

[0077] a. Parameters of key monitoring sites are out of limit: The sensitive or fragile components such as the main branch thyristor and the auxiliary branch thyristor in the controllable commutation converter are used as key monitoring sites. If any parameter such as current, voltage, temperature, humidity, etc. exceeds the set ratio threshold of the corresponding rated value (set to 130% in this embodiment), it is judged as a serious over-limit. At this time, it can no longer be restored to a safe range through simple adjustment or operation like other sites;

[0078] b. Multi-point / multi-parameter joint limit violation: A parameter at multiple monitoring points in the system or multiple environmental parameters at the same monitoring point simultaneously trigger the second-level warning, indicating that the system is at great risk of equipment damage.

[0079] Once an abnormal warning is triggered, the warning system will simultaneously execute the following response measures:

[0080] a. Visual prompt: The abnormal warning will display a red warning logo on the display screen, and the logo will flash frequently to emphasize the current serious status. Compared with the second-level warning, the red logo flashes more frequently to indicate the urgency of the risk.

[0081] b. Auditory prompts: To prevent visual warnings from being missed, the system will also issue a high-frequency continuous sound alarm to ensure that any personnel on site can immediately perceive the occurrence of abnormal conditions. This high-frequency alarm can quickly attract the attention of personnel in the control room and prompt them to respond to emergencies.

[0082] c. Information push: The system will send emergency information to notify all relevant personnel, including supervisors, technical teams, and security managers. The information content will detail the specific circumstances of the limit violation, the details of multiple parameter anomalies, and provide more urgent response measures.

[0083] d. Automatic response: Abnormal warnings not only rely on manual intervention, but also trigger the system's built-in automatic emergency procedures. For example, when multiple parameters are detected to be out of limit and manual intervention is ineffective, the system will automatically reduce the power of the equipment, cut off the dangerous power supply, and / or start the backup system to ensure the safe shutdown of the equipment or reduce potential damage. In addition, the system can contact external emergency service departments through the network, such as remote technical support or fire protection systems, to obtain more timely support.

[0084] The design of abnormal warning ensures that in the most extreme cases, the system can quickly and automatically take emergency response measures to reduce the risk of equipment damage and casualties. Through the emergency call system, abnormal warning can coordinate the timely response of relevant personnel to the greatest extent to avoid further deterioration of the accident.

[0085] The multi-level early warning system realizes accurate identification and response to equipment abnormalities of different severity through a three-level early warning design, effectively guiding relevant personnel to take appropriate actions according to the severity of the incident, which not only improves the flexibility and adaptability of the early warning system, but also provides hierarchical response plans for equipment abnormalities of different levels. Through multiple means of vision, hearing and information push, the early warning system can minimize the adverse consequences of equipment failure and ensure the safe operation of CLCC converter valves.

[0086] Example 3

[0087] This embodiment also relates to a multi-level early warning method based on multiple environmental parameters of a controllable phase-commutated converter valve hall, which realizes early warning of the controllable phase-commutated converter valve hall, such as Figure 2 , the method comprises the following steps:

[0088] (1) Start: The early warning system starts, power module 1 starts supplying power, and each module is initialized.

[0089] (2) Data monitoring: The early warning system collects multiple environmental parameters such as temperature, humidity, and electromagnetic field strength through the multi-environmental parameter acquisition modules 2 distributed at different locations in the converter valve hall, and transmits these data to the data processing module 3.

[0090] (3) Conduct collaborative analysis of multiple environmental parameters, including data preprocessing, data feature extraction, model training and result analysis, including:

[0091] (3.a) Data preprocessing: First, the collected temperature, humidity and electromagnetic field data are preprocessed, including removing noise, filling missing values, and processing outliers.

[0092] Since there is a high possibility of electromagnetic interference during the operation of the controllable commutation converter, the collected electromagnetic field data may contain noise. A low-pass filter is used to eliminate high-frequency noise, and wavelet transform is used to extract the characteristics of useful signals. The forward filling method is used to fill in the missing samples. The 3σ rule is used to detect whether there are abnormal values ​​in multiple environmental parameters that are obviously beyond the physical reasonable range.

[0093] (3.b) Data feature extraction: The working principle of the controllable commutation converter is based on periodic commutation, and the timing feature is crucial. The time series features of multiple environmental parameters are extracted and the timestamps of all parameters are aligned for time series analysis.

[0094] The data of multiple environmental parameters are collected from different sensors with different sampling frequencies. Spline interpolation is used to synchronize the timestamps of all parameters with the system working status. Fourier transform is used to extract the frequency spectrum of temperature, humidity, current, and voltage signals.

[0095] (3.c) Model training: Use the random forest machine learning model to train the multi-environmental parameter collaborative analysis model to obtain the influencing factors of temperature, humidity, and electromagnetic field on CLCC.

[0096] Feature importance analysis is used to evaluate the weights of the impact of multiple environmental parameters on the performance of controllable commutation converter equipment. The model performance is optimized by adjusting the number of trees in the random forest. K-fold cross validation is used to evaluate the performance of the model to avoid overfitting problems.

[0097] (3.d) Result analysis: Using data fusion technology and based on the random forest model, the impact of multiple environmental parameters such as temperature, humidity and electromagnetic field is comprehensively evaluated. Assume that the impact factors of temperature, humidity and electromagnetic field on CLCC are α T , α H and α E , then the comprehensive impact of the synergistic effect of multiple environmental parameters can be expressed as:

[0098] Y=α T f(T)+α H f(H)+α E ·f(E)

[0099] Among them, f(T), f(H) and f(E) are the characteristic functions of temperature, humidity and electromagnetic field respectively.

[0100] The comprehensive impact based on collaborative analysis of multiple environmental parameters can help analyze the safety of CLCC equipment.

[0101] (4) Warning judgment: The multi-level warning module 4 determines whether the safety threshold is exceeded according to the pre-set warning rules and triggers the warning.

[0102] (4.a) The early warning mechanism includes three levels of early warning standards, namely, level one early warning, level two early warning and abnormal early warning. Different levels of early warning correspond to different risk index ranges. The system will automatically match the corresponding early warning level according to the current environmental parameters and comprehensive analysis results, conduct emergency response and fault handling, and store information;

[0103] (4.b) If the data analysis results do not exceed the safety threshold, the multi-level warning mechanism will not be activated, and only the relevant environmental parameters will be stored.

[0104] (5) Information storage: Environmental parameters, trigger information of each warning, processing status and other related information are recorded in the storage module 5 as an important data source for subsequent analysis and model improvement. At the same time, maintenance personnel are allowed to feedback the actual situation and processing experience, which are also recorded in the storage module 5 to help further optimize the system's warning rules and model parameters.

[0105] (6) System test: The system performs non-stop self-checking and testing to ensure the normal operation of each module of the early warning system. The early warning system completes the intermediate operation process and loops through steps (2) to (6).

[0106] (7) End: When the power is cut off due to maintenance or system update, the early warning system process ends.

[0107] Through the above-mentioned early warning process, the early warning system and method of the present invention can monitor and warn the controllable phase-commutated converter based on the multi-environmental parameters of the valve hall, effectively prevent CLCC equipment failures, and ensure the safe and stable operation of the system.

[0108] The present invention realizes multi-level early warning based on multiple environmental parameters of the controllable phase-commutation converter valve hall, adopts real-time monitoring technology of multiple environmental parameters and multi-level early warning mechanism, effectively solves the problem of misjudgment that may be caused by single parameter monitoring, and successfully realizes accurate monitoring and early warning of the controllable phase-commutation converter valve hall environment. The early warning system can trigger the corresponding early warning level according to the parameter over-limit situation, take different response measures in time, improve the accuracy and reliability of the early warning, and ensure the safe and stable operation of CLCC equipment in complex environments.

[0109] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A multi-level early warning system based on multiple environmental parameters of CLCC valve hall, characterized in that: The system comprises a multi-environment parameter acquisition module (2), a data processing module (3) and a multi-level early warning module (4) which are connected in sequence; The multi-environmental parameter acquisition module (2) is used to acquire the multi-environmental parameters of temperature, humidity and electromagnetic field in the CLCC valve hall in real time; The data processing module (3) performs a comprehensive analysis on the collected data received from the multi-environment parameter collection module (2) using a trained multi-environment parameter collaborative analysis model, and sends the comprehensive analysis results to the multi-level warning module (4) in real time to trigger warnings of different levels.

2. According to claim 1, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: The data processing module (3) uses a random forest machine learning model to train the multi-environment parameter collaborative analysis model to obtain the influencing factors of temperature, humidity, and electromagnetic field on CLCC, integrates prior knowledge and monitoring data, performs multi-environment parameter collaborative analysis, continuously predicts and updates the system status, and sends the analysis results to the multi-level early warning module (4).

3. According to claim 2, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: The collaborative analysis process includes: First, the collected data is preprocessed, wherein the preprocessing includes filtering out the noise of the electromagnetic field data; Then, the time series features of multiple environmental parameters are extracted from the preprocessed data, and the timestamps of all parameters are aligned; Next, the timestamps of all parameters are synchronized with the system working status using spline interpolation, and the frequency spectra of temperature, humidity, and electromagnetic field signals are extracted using Fourier transform; Finally, using data fusion technology, based on the multi-environmental parameter collaborative analysis model, the impact of multiple environmental parameters such as temperature, humidity and electromagnetic field on CLCC is comprehensively analyzed, that is, assuming that the impact factors of temperature, humidity and electromagnetic field on CLCC are α T , α H and α E , then the comprehensive impact of the synergistic effect of multiple environmental parameters is expressed as: Y=a T ·f(T)+α H ·f(H)+α E ·f(E) Among them, f(T), f(H) and f(E) are the time series characteristic functions of temperature, humidity and electromagnetic field respectively.

4. According to claim 1, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: The multi-level warning module (4) automatically matches the corresponding warning level according to the current multi-environment parameters and the comprehensive analysis results, wherein the warning level is divided into three levels of warning, which are level one warning, level two warning and abnormal warning from light to heavy severity.

5. According to claim 4, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: When any of the following conditions is met, the first level warning is triggered: The current or voltage exceeds the set electrical threshold A1 and the duration is less than the first time threshold T1; The temperature rise between the two measurements exceeds the set temperature threshold B1; The humidity exceeds the set humidity threshold C1.

6. According to claim 4, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: When any of the following conditions is met, the secondary warning is triggered: The current or voltage exceeds the set electrical threshold A1 and lasts longer than the second time threshold T2; The temperature exceeds the set temperature threshold B2 but is less than the upper limit of the safe operating range of the device, and the duration exceeds the third time threshold T3; The humidity exceeds the set humidity threshold C2, and the duration exceeds the fourth time threshold T4.

7. According to claim 4, a multi-level early warning system based on multiple environmental parameters of CLCC valve hall is characterized in that: When any of the following conditions is met, the abnormal warning is triggered: If any multi-environmental parameter at a key monitoring point in a controllable commutation converter exceeds a set ratio threshold of a corresponding rated value, it is judged as a serious over-limit; A certain parameter at multiple monitoring points or multiple environmental parameters at the same monitoring point triggers the second-level warning at the same time.

8. The multi-level early warning system based on multi-environmental parameters of CLCC valve hall according to claim 7 is characterized in that: The key monitoring points include the main branch thyristor and the auxiliary branch thyristor.

9. A multi-level warning method using a multi-level warning system based on multiple environmental parameters of a CLCC valve hall according to any one of claims 1 to 8, the method comprising: Step S1, initialization of each module; Step S2, collecting multiple environmental parameters, wherein the multiple environmental parameters include temperature, humidity and electromagnetic field; Step S3, preprocessing, feature extraction, and timestamp alignment of the collected data, and using the training multi-environment parameter collaborative analysis model to perform multi-environment parameter collaborative analysis; Step S4, automatically matching the corresponding warning level according to the multi-environment parameters and collaborative analysis results, and performing emergency response and fault handling.

10. The method according to claim 9, characterized in that When the abnormal warning is triggered and manual intervention is ineffective, the system's built-in automatic emergency program will be triggered, including reducing equipment power, cutting off dangerous power supplies and / or starting a backup system.

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