Unit unit data intelligent acquisition and diagnosis system based on vibration characteristics

Abstract

The invention discloses a vibration characteristic-based unit set data intelligent acquisition and diagnosis system, relates to the technical field of unit set data intelligent acquisition, and aims to solve the problem that vibration characteristic data acquisition of a thermal power generation unit set is not intelligent and inaccurate. Through automatic early warning and fault diagnosis, an enterprise can be helped to optimize resource configuration of a maintenance team, the situation of excessive maintenance or insufficient maintenance is avoided, and through automatic data collection, analysis and early warning processing, the efficiency of operation and maintenance work can be remarkably improved. Operation and maintenance personnel can more concentrate on execution of key tasks and solving of complex problems, unnecessary patrol and detection work is reduced, storage space is monitored in real time through the data monitoring terminal, integrity and accuracy of data are ensured, a real-time monitoring and adjusting mechanism enables the system to adapt to complex and changeable network environments, and the system is suitable for large-scale popularization and application. And by intelligently selecting the optimal transmission channel, the data transmission efficiency can be remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of unit set data intelligent collection, and in particular to a unit set data intelligent collection and diagnosis system based on vibration characteristics. Background Art

[0002] The unit unit refers to the process of automatically, efficiently and accurately collecting, transmitting and processing the operating data of the unit unit of a thermal power plant (usually a power generation unit composed of a single boiler and a steam turbine) by using advanced sensor technology, data communication technology, data processing and analysis technology.

[0003] The patent application with publication number CN111256989A discloses a method for collecting vibration characteristic values ​​of variable speed rotating equipment. The method mainly adjusts the filter coefficient of the I IR filter in real time by obtaining the speed of the variable speed rotating equipment, which can filter the interference signal more accurately and make the characteristic value calculated by FPGA more accurate. By using the FPGA+Arm division of labor and cooperation mode, the parallel fixed-point number calculation part with large data volume is placed on the FPGA for processing, and the floating-point number operations with large computing resources such as square root and division are placed on the Arm for processing, which can give full play to their respective advantages and optimize resource allocation. Although the above patent solves the problem of obtaining vibration characteristic data, there are still the following problems in actual operation:

[0004] 1. Targeted vibration characteristic monitoring was not performed according to the characteristics of each structure in the unit, and the vibration characteristic data was not collected more finely, resulting in inaccurate collected data.

[0005] 2. After the vibration characteristic data of the unit is collected, the data is not stored securely and transmitted efficiently, resulting in reduced security and timeliness of the vibration characteristic data.

[0006] 3. After the vibration characteristic data of the unit is collected, no more intelligent data analysis is performed, resulting in the inability to obtain abnormal data in the first time. Summary of the invention

[0007] The purpose of the present invention is to provide a unit data intelligent collection and diagnosis system based on vibration characteristics. Through automated early warning and fault diagnosis, it can help enterprises optimize the resource allocation of maintenance teams and avoid excessive or insufficient maintenance. Through automated data collection, analysis and early warning processing, the efficiency of operation and maintenance work can be significantly improved. Operation and maintenance personnel can focus more on the execution of key tasks and the resolution of complex problems, reducing unnecessary inspections and detection work. The storage capacity can be monitored in real time through the data monitoring terminal to ensure the integrity and accuracy of the data. The real-time monitoring and adjustment mechanism enables the system to adapt to complex and changeable network environments and ensure the smooth transmission of data. By intelligently selecting the optimal transmission channel, the efficiency of data transmission can be significantly improved, which can solve the problems in the prior art.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] The unit data intelligent collection system based on vibration characteristics includes:

[0010] Sensor mounted detection unit for:

[0011] Confirm each monitoring position in the unit and the sensor corresponding to each position, perform a functional test on each sensor, and mark the sensors that pass the functional test as target monitoring equipment data;

[0012] Monitoring data acquisition unit, used for:

[0013] Collect monitoring data at each monitoring location according to the target monitoring equipment data, and classify the monitoring data according to its attributes. After the classification is completed, the target monitoring data is obtained;

[0014] Acquisition data storage unit, used for:

[0015] The target monitoring and collected data is stored in the data storage, and the memory is stored in correspondence with the data storage capacity during the data storage, and the target storage data is obtained after the data storage is completed;

[0016] Storage data transmission control unit, used for:

[0017] The target storage data in the memory is transmitted to the diagnosis center for data diagnosis. At the same time, when the target storage data is transmitted, the transmission channel with the fastest transmission speed is automatically selected.

[0018] Preferably, the sensor installation detection unit is also used for:

[0019] Confirm the monitoring points for collecting vibration characteristics in the unit set, the monitoring points are key components, vibration sensitive areas, vibration transmission paths and direction points of the unit set, and the unit set is a thermal power generation unit set;

[0020] Among them, the specific locations of monitoring points include bearings, gearboxes, couplings, generators and rotors;

[0021] Confirm the monitoring sensor at the specific location of the monitoring point;

[0022] Monitoring sensors include acceleration sensors, non-contact speed sensors, displacement sensors, torque sensors, magnetoelectric speed sensors, inductive sensors, eddy current sensors and key phase sensors.

[0023] Preferably, the sensor installation detection unit is also used for:

[0024] The bearings collect vibration characteristic data through acceleration sensors and non-contact speed sensors; the gearboxes collect vibration characteristic data through acceleration sensors and displacement sensors; the couplings collect vibration characteristic data through torque sensors and non-contact speed sensors; the generators collect vibration characteristic data through magnetoelectric speed sensors and inductive sensors; the rotors collect vibration characteristic data through eddy current sensors and key phase sensors;

[0025] Before the sensor performs vibration characteristic monitoring, it first performs a functional test, and after the test is qualified, the vibration characteristic of each monitoring point is monitored;

[0026] Among them, functional testing includes sensitivity test, frequency response test, dynamic range test, stability test, environmental adaptability test, anti-interference ability test, response time test, calibration test and accuracy test;

[0027] If the functional tests are qualified, vibration characteristic monitoring will be carried out, and the sensors that have passed the functional tests will be marked as target monitoring equipment data.

[0028] Preferably, the monitoring data collection unit is also used for:

[0029] When the monitoring sensor monitors the monitoring point in the unit, the monitoring sensor transmits the monitoring signal to the data monitoring terminal by wireless means;

[0030] The data monitoring terminal converts the analog signal transmitted by the monitoring sensor into a digital signal and performs signal processing on the digital signal;

[0031] Signal processing includes filtering, amplification and normalization;

[0032] After the monitoring terminal receives the data transmitted by the monitoring sensor, it classifies the monitoring data according to the different monitoring data of each sensor;

[0033] After the classification is completed, the vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are obtained;

[0034] The vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are uniformly marked as target monitoring and collection data.

[0035] Preferably, the collected data storage unit is used to:

[0036] The data monitoring terminal confirms the storage volume of the target monitoring and collection data;

[0037] The storage capacity of the target monitoring and collection data is to write a script for the target monitoring and collection data using a programming language, and obtain the data size of the target monitoring and collection data according to the written script;

[0038] After the data size of the target monitoring and collection data is confirmed, the target monitoring and collection data is saved in the memory of the data monitoring terminal;

[0039] Wherein, the memory includes several sub-memories, and when the target monitoring and collection data is stored, according to the data size of the target monitoring and collection data, a sub-memory with a remaining capacity greater than the data size is selected as the storage location of the target monitoring and collection data;

[0040] After the target monitoring and collection data storage is completed, the target storage data is obtained.

[0041] Preferably, the storage data transmission control unit is further used for:

[0042] Before the target storage data in the memory of the data monitoring terminal is transmitted to the diagnosis center, the transmission channel is selected first;

[0043] There are no less than six transmission channels between the data monitoring terminal and the diagnosis center;

[0044] Monitor the remaining capacity and signal strength of each transmission channel in real time;

[0045] Selecting a transmission channel whose remaining channel capacity is greater than the data storage capacity of the target storage data as the first transmission channel, wherein the data storage capacity is determined according to the data size;

[0046] When the number of first transmission channels is greater than two, the channel with the strongest signal strength is selected as the second transmission channel;

[0047] The target storage data is transmitted to the diagnosis center via the first transmission channel or the second transmission channel.

[0048] The unit data intelligent diagnosis system based on vibration characteristics includes:

[0049] Storage data processing unit for:

[0050] The diagnosis center receives the target storage data, performs data preprocessing on the received data, and obtains the data to be diagnosed after the data preprocessing is completed;

[0051] Processing data diagnostic unit for:

[0052] The data to be diagnosed is judged for data anomalies, the abnormal data in the data to be diagnosed is confirmed according to the judgment results, and the abnormal data is marked as data to be warned;

[0053] Diagnostic data early warning unit, used for:

[0054] The data to be warned is divided into abnormal thresholds, different degrees of alarm processing are performed according to the divided abnormal thresholds, and the warning report is displayed on the display terminal.

[0055] Preferably, the storage data processing unit is further used for:

[0056] The diagnosis center receives the target storage data transmitted by the data monitoring terminal, and after receiving the target storage data, transmits the target storage data for data preprocessing;

[0057] Data preprocessing is to sequentially perform data cleaning, data conversion, feature extraction, and data verification on the target storage data;

[0058] After data preprocessing is completed, the data to be diagnosed is obtained.

[0059] Preferably, the processing data diagnosis unit is further used for:

[0060] Compare the data to be diagnosed with the standard vibration characteristic data, wherein the standard vibration characteristic data is retrieved from the diagnosis center database;

[0061] Filter out abnormal data in the data to be diagnosed based on the data comparison results;

[0062] Among them, the data comparison process is to convert the data to be diagnosed and the standard vibration characteristic data into curve data respectively;

[0063] After the curve data conversion is completed, the curves are overlapped, and after the curves are overlapped, the data to be diagnosed that do not overlap with the standard vibration characteristic data are screened;

[0064] The screened data to be diagnosed are marked as data to be warned.

[0065] Preferably, the diagnostic data early warning unit is further used for:

[0066] Confirm the threshold difference between the data to be warned and the standard vibration characteristic data, wherein the threshold difference is the area size of the non-overlapping region when the curves overlap;

[0067] Classify abnormal levels according to threshold differences;

[0068] The abnormality levels are divided into level one abnormality, level two abnormality and level three abnormality;

[0069] Carry out different levels of alarm processing according to different abnormal levels;

[0070] The alarm processing is to display the data to be warned on the display terminal, and at the same time, to remind the abnormal location according to the abnormal monitoring point corresponding to the data to be warned.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] 1. The unit data intelligent collection and diagnosis system based on vibration characteristics provided by the present invention ensures the accuracy and reliability of data collection through the reasonable selection and arrangement of monitoring sensors and the functional detection of each sensor. The monitoring data is classified and processed according to different sensor characteristics, and multi-dimensional data including vibration amplitude, frequency component, phase, axis trajectory, impact pulse, etc. are extracted, providing a rich information source for comprehensive fault diagnosis.

[0073] 2. The unit data intelligent collection and diagnosis system based on vibration characteristics provided by the present invention monitors the storage capacity in real time through the data monitoring terminal to ensure the integrity and accuracy of the data. The real-time monitoring and adjustment mechanism enables the system to adapt to the complex and changeable network environment and ensure the smooth data transmission. By intelligently selecting the optimal transmission channel, the system can significantly improve the efficiency of data transmission.

[0074] 3. The unit data intelligent collection and diagnosis system based on vibration characteristics provided by the present invention can help enterprises optimize the resource allocation of maintenance teams through automated early warning and fault diagnosis, avoid excessive or insufficient maintenance, and significantly improve the efficiency of operation and maintenance work through automated data collection, analysis and early warning processing. Operation and maintenance personnel can focus more on the execution of key tasks and the resolution of complex problems, reducing unnecessary inspections and testing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a schematic diagram of the unit data intelligent collection and diagnosis unit of the present invention;

[0076] Figure 2 It is a schematic diagram of the intelligent data collection and diagnosis process of the unit set of the present invention. DETAILED DESCRIPTION

[0077] 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 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 creative work are within the scope of protection of the present invention.

[0078] In order to solve the problem that the existing technology does not conduct targeted vibration characteristic monitoring according to the characteristics of each structure in the unit, and does not collect vibration characteristic data more finely, resulting in inaccurate collected data, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0079] The unit data intelligent collection system based on vibration characteristics includes:

[0080] Sensor mounted detection unit for:

[0081] Confirm each monitoring position in the unit and the sensor corresponding to each position, perform a functional test on each sensor, and mark the sensors that pass the functional test as target monitoring equipment data;

[0082] Monitoring data acquisition unit, used for:

[0083] Collect monitoring data at each monitoring location according to the target monitoring equipment data, and classify the monitoring data according to its attributes. After the classification is completed, the target monitoring data is obtained;

[0084] Acquisition data storage unit, used for:

[0085] The target monitoring and collected data is stored in the data storage, and the memory is stored in correspondence with the data storage capacity during the data storage, and the target storage data is obtained after the data storage is completed;

[0086] Storage data transmission control unit, used for:

[0087] The target storage data in the memory is transmitted to the diagnosis center for data diagnosis. At the same time, when the target storage data is transmitted, the transmission channel with the fastest transmission speed is automatically selected.

[0088] Specifically, the sensor installation detection unit can clarify the specific location of the monitoring point, the selection of sensors and the standards for functional testing. The monitoring data acquisition unit can enhance the high intelligence and automation of the entire acquisition process and reduce human intervention. The acquisition data storage unit not only pays attention to data collection and storage, but also monitors the storage volume in real time through the data monitoring terminal to ensure the integrity and accuracy of the data. The storage data transmission control unit can not only reduce the time cost of data transmission, but also reduce the waste of resources caused by transmission delays or failures.

[0089] The sensor installation detection unit is also used for:

[0090] Confirm the monitoring points for collecting vibration characteristics in the unit set, the monitoring points are key components, vibration sensitive areas, vibration transmission paths and direction points of the unit set, and the unit set is a thermal power generation unit set;

[0091] Among them, the specific locations of monitoring points include bearings, gearboxes, couplings, generators and rotors;

[0092] Confirm the monitoring sensor at the specific location of the monitoring point;

[0093] Monitoring sensors include acceleration sensors, non-contact speed sensors, displacement sensors, torque sensors, magnetoelectric speed sensors, inductive sensors, eddy current sensors and key phase sensors.

[0094] The bearings collect vibration characteristic data through acceleration sensors and non-contact speed sensors; the gearboxes collect vibration characteristic data through acceleration sensors and displacement sensors; the couplings collect vibration characteristic data through torque sensors and non-contact speed sensors; the generators collect vibration characteristic data through magnetoelectric speed sensors and inductive sensors; the rotors collect vibration characteristic data through eddy current sensors and key phase sensors;

[0095] Before the sensor performs vibration characteristic monitoring, it first performs a functional test, and after the test is qualified, the vibration characteristic of each monitoring point is monitored;

[0096] Among them, functional testing includes sensitivity test, frequency response test, dynamic range test, stability test, environmental adaptability test, anti-interference ability test, response time test, calibration test and accuracy test;

[0097] If the functional tests are qualified, vibration characteristic monitoring will be carried out, and the sensors that have passed the functional tests will be marked as target monitoring equipment data.

[0098] Specifically, the monitoring data acquisition unit covers all key components, vibration-sensitive areas, vibration transmission paths and direction points in the unit, ensuring comprehensive monitoring of the overall vibration status of the unit. This helps to timely discover and locate potential problem areas. For different types of monitoring points (such as bearings, gearboxes, couplings, generators and rotors), the most suitable monitoring sensors (such as acceleration sensors, displacement sensors, torque sensors, etc.) are used to improve the accuracy and effectiveness of data acquisition. The accuracy and reliability of data acquisition are ensured by the reasonable selection and arrangement of monitoring sensors and the functional testing of each sensor. At the same time, the sensors that have passed the functional test are marked as target monitoring equipment data, which is convenient for subsequent data analysis and processing, and improves work efficiency. By real-time monitoring of the vibration characteristics of the unit, abnormalities or potential faults in the operation of the unit can be discovered in time, thereby achieving preventive maintenance. This helps to avoid the expansion of faults, reduce downtime, and improve the reliability and operating efficiency of the unit. By clarifying the specific location of the monitoring point, the selection of sensors and the standards for functional testing, it helps to achieve standardization and normalization of data collection and diagnosis. This helps improve the consistency and comparability of data, providing a more reliable basis for subsequent data analysis and fault diagnosis.

[0099] The monitoring data acquisition unit is also used for:

[0100] When the monitoring sensor monitors the monitoring point in the unit, the monitoring sensor transmits the monitoring signal to the data monitoring terminal by wireless means;

[0101] The data monitoring terminal converts the analog signal transmitted by the monitoring sensor into a digital signal and performs signal processing on the digital signal;

[0102] Signal processing includes filtering, amplification and normalization;

[0103] After the monitoring terminal receives the data transmitted by the monitoring sensor, it classifies the monitoring data according to the different monitoring data of each sensor;

[0104] After the classification is completed, the vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are obtained;

[0105] The vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are uniformly marked as target monitoring and collection data.

[0106] Specifically, the monitoring sensor transmits the monitoring signal wirelessly, which greatly improves the flexibility and scalability of the system. Wireless connection reduces the need for wiring, reduces installation and maintenance costs, and also allows use in monitoring environments that are difficult to wire or dynamically change. The data monitoring terminal can instantly receive and process the monitoring signal to ensure the real-time nature of the data. At the same time, through the conversion of analog signals to digital signals and subsequent signal processing (such as filtering, amplification, and normalization), the accuracy and reliability of the data are improved, providing a solid foundation for subsequent data analysis and fault diagnosis. The signal processing process covers steps such as filtering, amplification, and normalization to ensure the cleanliness and consistency of the data. At the same time, the monitoring data is classified and processed according to different sensor characteristics, and multi-dimensional data including vibration amplitude, frequency component, phase, axis trajectory, impact pulse, etc. are extracted, providing a rich source of information for comprehensive fault diagnosis. The entire acquisition process is highly intelligent and automated, reducing manual intervention and improving work efficiency. The data monitoring terminal can automatically receive, process, and classify monitoring data, providing timely and accurate data support for subsequent fault diagnosis.

[0107] In order to solve the problem in the prior art that the vibration characteristic data of the unit is not safely stored and efficiently transmitted after being collected, which leads to the reduction of the security and timeliness of the vibration characteristic data, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0108] Acquisition data storage unit, used for:

[0109] The data monitoring terminal confirms the storage volume of the target monitoring and collection data;

[0110] The storage capacity of the target monitoring and collection data is to write a script for the target monitoring and collection data using a programming language, and obtain the data size of the target monitoring and collection data according to the written script;

[0111] After the data size of the target monitoring and collection data is confirmed, the target monitoring and collection data is saved in the memory of the data monitoring terminal;

[0112] Wherein, the memory includes several sub-memories, and when the target monitoring and collection data is stored, according to the data size of the target monitoring and collection data, a sub-memory with a remaining capacity greater than the data size is selected as the storage location of the target monitoring and collection data;

[0113] After the target monitoring and collection data storage is completed, the target storage data is obtained.

[0114] Specifically, the data size of the target monitoring and collection data is automatically confirmed by writing a script in a programming language, and a sub-storage with sufficient remaining capacity is intelligently selected for storage according to the data size, which effectively avoids the problem of insufficient or wasted storage space and improves the efficiency of data storage. The system includes several sub-storage devices, and this design enables the system to easily cope with the growth of data volume. When the amount of data increases, the storage capacity of the system can be expanded by adding sub-storage devices or upgrading the capacity of existing storage devices, without the need for large-scale transformation of the entire system. By intelligently selecting storage locations, data can be stored in safe and reliable sub-storage devices. In addition, the system can also implement data backup and disaster recovery strategies to further improve the security and reliability of data. It not only focuses on data collection and storage, but also monitors the storage volume in real time through data monitoring terminals to ensure the integrity and accuracy of the data. This intelligent monitoring method helps to discover and solve problems in a timely manner and improve the stability and reliability of the system.

[0115] The storage data transmission control unit is also used for:

[0116] Before the target storage data in the memory of the data monitoring terminal is transmitted to the diagnosis center, the transmission channel is selected first;

[0117] There are no less than six transmission channels between the data monitoring terminal and the diagnosis center;

[0118] Monitor the remaining capacity and signal strength of each transmission channel in real time;

[0119] Selecting a transmission channel whose remaining channel capacity is greater than the data storage capacity of the target storage data as the first transmission channel, wherein the data storage capacity is determined according to the data size;

[0120] When the number of first transmission channels is greater than two, the channel with the strongest signal strength is selected as the second transmission channel;

[0121] The target storage data is transmitted to the diagnosis center via the first transmission channel or the second transmission channel.

[0122] Specifically, multi-channel configuration provides multiple guarantees for data transmission. Even if a channel fails or is congested, it can continue to transmit through other channels to ensure the continuity and reliability of data transmission. Before transmission, the remaining capacity of the channel and the channel signal strength are monitored in real time, and the transmission channel is intelligently selected according to the data storage volume of the target storage data. This intelligent selection mechanism can ensure the efficiency and real-time performance of data transmission, avoid transmission delays or failures caused by insufficient channel capacity or poor signal quality, and when there are multiple qualified first transmission channels, the system will further select the one with the strongest signal as the second transmission channel according to the channel signal strength. This strategy can maximize the use of high-quality channel resources, improve the stability and success rate of data transmission, monitor the remaining capacity and signal strength of the transmission channel in real time, and dynamically adjust the transmission strategy according to actual conditions. This real-time monitoring and adjustment mechanism enables the system to adapt to complex and changeable network environments, ensure the smooth progress of data transmission, and significantly improve the efficiency of data transmission by intelligently selecting the optimal transmission channel. This can not only reduce the time cost of data transmission, but also reduce the waste of resources caused by transmission delays or failures.

[0123] In order to solve the problem in the prior art that after collecting the vibration characteristic data of the unit, no more intelligent data analysis is performed, resulting in the inability to obtain abnormal data in the first place, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions:

[0124] The unit data intelligent diagnosis system based on vibration characteristics includes:

[0125] Storage data processing unit for:

[0126] The diagnosis center receives the target storage data, performs data preprocessing on the received data, and obtains the data to be diagnosed after the data preprocessing is completed;

[0127] Processing data diagnostic unit for:

[0128] The data to be diagnosed is judged for data anomalies, the abnormal data in the data to be diagnosed is confirmed according to the judgment results, and the abnormal data is marked as data to be warned;

[0129] Diagnostic data early warning unit, used for:

[0130] The data to be warned is divided into abnormal thresholds, different degrees of alarm processing are performed according to the divided abnormal thresholds, and the warning report is displayed on the display terminal.

[0131] Specifically, the storage data processing unit can not only improve processing efficiency, but also reduce the impact of human errors on diagnostic results. The processing data diagnostic unit can help enterprises optimize the resource allocation of the maintenance team and avoid excessive or insufficient maintenance. The diagnostic data early warning unit can timely discover and deal with potential fault hazards, avoiding production stoppages and increased maintenance costs due to equipment failure.

[0132] The storage data processing unit is also used for:

[0133] The diagnosis center receives the target storage data transmitted by the data monitoring terminal, and after receiving the target storage data, transmits the target storage data for data preprocessing;

[0134] Data preprocessing is to sequentially perform data cleaning, data conversion, feature extraction, and data verification on the target storage data;

[0135] After data preprocessing is completed, the data to be diagnosed is obtained.

[0136] Specifically, through the data cleaning step, noise, duplicate data, incomplete or erroneous data can be effectively removed, thereby improving the data quality of subsequent analysis. This is a key link in data preprocessing, which provides a more reliable basis for subsequent analysis. The data conversion step ensures that data from different sources and in different formats can be uniformly processed and compared. This is particularly important for scenarios where multiple data sources need to be integrated during the analysis process, which can improve the accuracy and efficiency of the analysis. Extracting key features from complex raw data is a key step in machine learning and data analysis. Feature extraction can reduce the dimension of data while retaining or enhancing information useful for diagnosis, thereby improving the generalization ability and accuracy of the model. The data verification step uses a series of inspection methods, such as range checking and integrity verification, to ensure that the data used for diagnosis is valid and reliable. This helps to avoid misdiagnosis or missed diagnosis due to data problems. The high degree of automation of the entire data preprocessing process reduces the need for manual intervention and improves the intelligence level of the system. This can not only improve processing efficiency, but also reduce the impact of human errors on diagnostic results.

[0137] Processing data diagnostic unit, also used for:

[0138] Compare the data to be diagnosed with the standard vibration characteristic data, wherein the standard vibration characteristic data is retrieved from the diagnosis center database;

[0139] Filter out abnormal data in the data to be diagnosed based on the data comparison results;

[0140] Among them, the data comparison process is to convert the data to be diagnosed and the standard vibration characteristic data into curve data respectively;

[0141] After the curve data conversion is completed, the curves are overlapped, and after the curves are overlapped, the data to be diagnosed that do not overlap with the standard vibration characteristic data are screened;

[0142] The screened data to be diagnosed are marked as data to be warned.

[0143] Specifically, by automatically retrieving standard vibration feature data from the diagnostic center database and comparing it with the data to be diagnosed, the need for manual operation is significantly reduced, and the possibility of human judgment errors is also reduced, thereby improving the efficiency and accuracy of fault diagnosis. It can automatically identify and filter out abnormal data in the data to be diagnosed, and mark these abnormal data as data to be warned. This automated early warning mechanism can timely discover and notify relevant personnel before the problem develops into a fault, buy time for taking preventive maintenance measures, and reduce the losses caused by unexpected downtime. Through the technical means of curve data conversion and curve overlap, the system can achieve a fine comparison of complex vibration feature data. This method can not only capture the overall trend of the vibration signal, but also find the differences in local details, improve the accuracy of diagnosis, and flexibly call standard vibration feature data for different devices or scenarios from the diagnostic center database, which means that it is easy to adapt to different diagnostic needs and application scenarios, and has high scalability and flexibility. Through automated early warning and fault diagnosis, the system can help enterprises optimize the resource allocation of maintenance teams, avoid excessive or insufficient maintenance, thereby reducing maintenance costs and improving the stability and reliability of equipment operation.

[0144] The diagnostic data early warning unit is also used to:

[0145] Confirm the threshold difference between the data to be warned and the standard vibration characteristic data, wherein the threshold difference is the area size of the non-overlapping region when the curves overlap;

[0146] Classify abnormal levels according to threshold differences;

[0147] The abnormality levels are divided into level one abnormality, level two abnormality and level three abnormality;

[0148] Carry out different levels of alarm processing according to different abnormal levels;

[0149] The alarm processing is to display the data to be warned on the display terminal, and at the same time, to remind the abnormal location according to the abnormal monitoring point corresponding to the data to be warned.

[0150] Specifically, it can calculate the threshold difference between the data to be warned and the standard vibration characteristic data in real time, and timely capture the slight changes in the equipment status, so as to realize real-time monitoring of the unit's operating status. Once an abnormality is found, the alarm can be triggered immediately, shortening the time from fault discovery to response, effectively avoiding potential safety risks and equipment damage. By calculating the threshold difference and dividing the abnormality level based on it, it can realize accurate identification of different types of vibration abnormalities. This hierarchical processing helps operation and maintenance personnel to take different countermeasures according to the severity of the abnormality, improves the pertinence and efficiency of fault handling, displays the data to be warned on the display terminal, and reminds in combination with the location information of the abnormal monitoring point. This visual alarm method enables operation and maintenance personnel to intuitively understand the equipment status and abnormal location. This not only improves the readability of the alarm information, but also greatly reduces the difficulty of locating the cause of the abnormality, helps to quickly locate and solve the problem. Through automated data collection, analysis and warning processing, the system can significantly improve the efficiency of operation and maintenance work. Operation and maintenance personnel can focus more on the execution of key tasks and the solution of complex problems, reducing unnecessary inspections and detection work. At the same time, since potential fault hazards can be discovered and dealt with in a timely manner, production stoppages and increased maintenance costs caused by equipment failures can be avoided, thereby reducing overall operation and maintenance costs.

[0151] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0152] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. The unit data intelligent acquisition system based on vibration characteristics is characterized by: include: Sensor mounted detection unit for: Confirm each monitoring position in the unit and the sensor corresponding to each position, perform a functional test on each sensor, and mark the sensors that pass the functional test as target monitoring equipment data; Monitoring data acquisition unit, used for: Collect monitoring data at each monitoring location according to the target monitoring equipment data, and classify the monitoring data according to its attributes. After the classification is completed, the target monitoring data is obtained; Acquisition data storage unit, used for: The target monitoring and collected data is stored in the data storage, and the memory is stored in correspondence with the data storage capacity during the data storage, and the target storage data is obtained after the data storage is completed; Storage data transmission control unit, used for: The target storage data in the memory is transmitted to the diagnosis center for data diagnosis. At the same time, when the target storage data is transmitted, the transmission channel with the fastest transmission speed is automatically selected.

2. The unit data intelligent acquisition system based on vibration characteristics according to claim 1 is characterized in that: The sensor installation detection unit is also used for: Confirm the monitoring points for collecting vibration characteristics in the unit set, the monitoring points are key components, vibration sensitive areas, vibration transmission paths and direction points of the unit set, and the unit set is a thermal power generation unit set; Among them, the specific locations of monitoring points include bearings, gearboxes, couplings, generators and rotors; Confirm the monitoring sensor at the specific location of the monitoring point; Monitoring sensors include acceleration sensors, non-contact speed sensors, displacement sensors, torque sensors, magnetoelectric speed sensors, inductive sensors, eddy current sensors and key phase sensors.

3. The unit data intelligent acquisition system based on vibration characteristics according to claim 2 is characterized in that: The sensor installation detection unit is also used for: The bearings collect vibration characteristic data through acceleration sensors and non-contact speed sensors; the gearboxes collect vibration characteristic data through acceleration sensors and displacement sensors; the couplings collect vibration characteristic data through torque sensors and non-contact speed sensors; the generators collect vibration characteristic data through magnetoelectric speed sensors and inductive sensors; the rotors collect vibration characteristic data through eddy current sensors and key phase sensors; Before the sensor performs vibration characteristic monitoring, it first performs a functional test, and after the test is qualified, the vibration characteristic of each monitoring point is monitored; Among them, functional testing includes sensitivity test, frequency response test, dynamic range test, stability test, environmental adaptability test, anti-interference ability test, response time test, calibration test and accuracy test; If the functional tests are qualified, vibration characteristic monitoring will be carried out, and the sensors that have passed the functional tests will be marked as target monitoring equipment data.

4. The unit data intelligent acquisition system based on vibration characteristics according to claim 3 is characterized in that: The monitoring data collection unit is also used for: When the monitoring sensor monitors the monitoring point in the unit, the monitoring sensor transmits the monitoring signal to the data monitoring terminal by wireless means; The data monitoring terminal converts the analog signal transmitted by the monitoring sensor into a digital signal and performs signal processing on the digital signal; Signal processing includes filtering, amplification and normalization; After the monitoring terminal receives the data transmitted by the monitoring sensor, it classifies the monitoring data according to the different monitoring data of each sensor; After the classification is completed, the vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are obtained; The vibration amplitude data, frequency component data, phase data, axis trajectory data, impact pulse data, kurtosis data, waveform data, resonance frequency data and damping ratio data are uniformly marked as target monitoring and collection data.

5. The unit data intelligent acquisition system based on vibration characteristics according to claim 4 is characterized in that: The data collection and storage unit is used for: The data monitoring terminal confirms the storage volume of the target monitoring and collection data; The storage capacity of the target monitoring and collection data is to write a script for the target monitoring and collection data using a programming language, and obtain the data size of the target monitoring and collection data according to the written script; After the data size of the target monitoring and collection data is confirmed, the target monitoring and collection data is saved in the memory of the data monitoring terminal; Wherein, the memory includes several sub-memories, and when the target monitoring and collection data is stored, according to the data size of the target monitoring and collection data, a sub-memory with a remaining capacity greater than the data size is selected as the storage location of the target monitoring and collection data; After the target monitoring and collection data storage is completed, the target storage data is obtained.

6. The unit data intelligent acquisition system based on vibration characteristics according to claim 5 is characterized in that: The storage data transmission control unit is further used for: Before the target storage data in the memory of the data monitoring terminal is transmitted to the diagnosis center, the transmission channel is selected first; There are no less than six transmission channels between the data monitoring terminal and the diagnosis center; Monitor the remaining capacity and signal strength of each transmission channel in real time; Selecting a transmission channel whose remaining channel capacity is greater than the data storage capacity of the target storage data as the first transmission channel, wherein the data storage capacity is determined according to the data size; When the number of first transmission channels is greater than two, the channel with the strongest signal strength is selected as the second transmission channel; The target storage data is transmitted to the diagnosis center via the first transmission channel or the second transmission channel.

7. The unit unit data intelligent diagnosis system based on vibration characteristics is applied to the unit unit data intelligent collection system based on vibration characteristics as claimed in claim 6, characterized in that: include: Storage data processing unit for: The diagnosis center receives the target storage data, performs data preprocessing on the received data, and obtains the data to be diagnosed after the data preprocessing is completed; Processing data diagnostic unit for: The data to be diagnosed is judged for data anomalies, the abnormal data in the data to be diagnosed is confirmed according to the judgment results, and the abnormal data is marked as data to be warned; Diagnostic data early warning unit, used for: The data to be warned is divided into abnormal thresholds, different degrees of alarm processing are performed according to the divided abnormal thresholds, and the warning report is displayed on the display terminal.

8. The unit data intelligent diagnosis system based on vibration characteristics according to claim 7 is characterized in that: The storage data processing unit is further used for: The diagnosis center receives the target storage data transmitted by the data monitoring terminal, and after receiving the target storage data, transmits the target storage data for data preprocessing; Data preprocessing is to sequentially perform data cleaning, data conversion, feature extraction, and data verification on the target storage data; After data preprocessing is completed, the data to be diagnosed is obtained.

9. The unit data intelligent diagnosis system based on vibration characteristics according to claim 8 is characterized in that: The processing data diagnosis unit is further used for: Compare the data to be diagnosed with the standard vibration characteristic data, wherein the standard vibration characteristic data is retrieved from the diagnosis center database; Filter out abnormal data in the data to be diagnosed based on the data comparison results; Among them, the data comparison process is to convert the data to be diagnosed and the standard vibration characteristic data into curve data respectively; After the curve data conversion is completed, the curves are overlapped, and after the curves are overlapped, the data to be diagnosed that do not overlap with the standard vibration characteristic data are screened; The screened data to be diagnosed are marked as data to be warned.

10. The unit data intelligent diagnosis system based on vibration characteristics according to claim 9 is characterized in that: The diagnostic data early warning unit is further used for: Confirm the threshold difference between the data to be warned and the standard vibration characteristic data, wherein the threshold difference is the area size of the non-overlapping region when the curves overlap; Classify abnormal levels according to threshold differences; The abnormality levels are divided into level one abnormality, level two abnormality and level three abnormality; Carry out different levels of alarm processing according to different abnormal levels; The alarm processing is to display the data to be warned on the display terminal, and at the same time, to remind the abnormal location according to the abnormal monitoring point corresponding to the data to be warned.

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