Intelligent power plant service analysis platform based on big data technology

Abstract

The invention discloses an intelligent power plant service analysis platform based on a big data technology, and belongs to the field of thermal power plants. The intelligent power plant service analysis platform based on the big data technology comprises a data sensing unit, a data acquisition unit, a data processing unit and a data application unit. The problems that an existing thermal power plant depends on manual supervision, is single in management mode and lacks data support are solved, different time thresholds are set according to data collection time intervals of various devices, the data transmission effect can be optimized, and the data transmission efficiency is improved. The data processing unit analyzes the monitoring data of the thermal power plant by adopting a data mining technology, and then processes an analysis result by utilizing a visual tool, so that a user can more intuitively know the condition of the thermal power plant, the analysis result and the monitoring data of the thermal power plant are displayed through the data application unit, and finally, the user can know the condition of the thermal power plant. By setting different access and operation authorities, the security of the intelligent power plant service analysis platform can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power plants, and in particular to a smart power plant service analysis platform based on big data technology. Background Art

[0002] Thermal power plants are factories that use combustibles as fuel to produce electricity. Through the supervision of thermal power plants, production efficiency can be improved, costs can be reduced, and production safety can be ensured. Because traditional thermal power plants mainly rely on manual supervision, and the management method is relatively simple, lacking effective data support and intelligent management, at the same time, traditional power plants are relatively weak in data support, making it difficult to achieve efficient data analysis, and thus unable to improve the management level of thermal power plants; therefore, it does not meet the existing needs. For this, we propose a smart power plant service analysis platform based on big data technology. Summary of the invention

[0003] The purpose of the present invention is to provide a smart power plant service analysis platform based on big data technology. By deploying various types of equipment to detect thermal power plants, the monitoring data of thermal power plants are obtained. The monitoring data of thermal power plants are collected and analyzed by data mining technology to obtain analysis results. The analysis results can be visualized using visualization tools to achieve a visual display of the analysis results. At the same time, security access rights are set to improve the security of the smart power plant service analysis platform, thereby solving the problems raised in the above-mentioned background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: a smart power plant service analysis platform based on big data technology, comprising:

[0005] Data sensing unit, used to:

[0006] Collect monitoring data of thermal power plants and monitor them by deploying various equipment to obtain monitoring data of thermal power plants;

[0007] Data acquisition unit for:

[0008] Collecting the thermal power plant monitoring data obtained by the data sensing unit, and transmitting the collected thermal power plant monitoring data to the data processing unit;

[0009] Data processing unit for:

[0010] Receive the thermal power plant monitoring data transmitted by the data acquisition unit, process and analyze the received thermal power plant monitoring data, and finally obtain the analysis results, visualize the analysis results using visualization tools and output them to the data application unit;

[0011] Data application unit, used for:

[0012] The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and security access rights are set to provide users with a smart power plant service analysis platform.

[0013] Furthermore, the data sensing unit obtains the monitoring data of the thermal power plant through various deployed devices, including:

[0014] Temperature and humidity sensors for:

[0015] Deployed on the power generation equipment of the thermal power plant, the temperature and humidity sensors deployed monitor the power generation equipment and finally obtain the temperature and humidity information of the power generation equipment. The power generation equipment includes generators, boilers, steam turbines and condensers.

[0016] Gas sensors for:

[0017] Deploy gas sensors in the thermal power plant, monitor the thermal power plant through the deployed gas sensors, and finally obtain gas information in the thermal power plant;

[0018] Pressure sensors for:

[0019] Deploy pressure sensors in thermal power plants, monitor pipelines, containers, and oil tanks through deployed gas sensors, and ultimately obtain pressure information inside the equipment;

[0020] Monitoring equipment for:

[0021] Through the installed monitoring equipment, each area of ​​the thermal power plant is monitored in real time, and finally the monitoring data of the thermal power plant is obtained;

[0022] This also includes obtaining the operating data of the thermal power plant, which reflects the production efficiency, energy consumption, equipment performance and operating conditions of the thermal power plant. The operating data is manually uploaded to the thermal power plant.

[0023] Furthermore, the data acquisition unit comprises:

[0024] Data acquisition module for:

[0025] Collect the monitoring data of the thermal power plant monitored by the data sensing unit, store the collected monitoring data of the thermal power plant in the database, and at the same time, obtain the data collection time interval of various equipment;

[0026] Data transmission module for:

[0027] A transmission time interval is set, and the data transmission module transmits the thermal power plant monitoring data in the database to the data processing unit according to the transmission time interval.

[0028] Further, a first acquisition time threshold and a second acquisition time threshold are set according to the data collection time interval;

[0029] Dividing the collected thermal power plant monitoring data into a first data set, a second data set and a third data set according to a first acquisition time threshold and a second acquisition time threshold;

[0030] Corresponding transmission time intervals are set according to the first data set, the second data set and the third data set, and the thermal power plant monitoring data corresponding to the first data set, the second data set and the third data set are transmitted to the data processing unit according to the set transmission time intervals.

[0031] Furthermore, the first data set is a data set formed by data obtained by various types of devices whose data collection time interval is less than the first acquisition time threshold;

[0032] The second data set is a data set formed by data obtained by various types of devices whose data collection time interval is equal to or greater than the first acquisition time threshold but less than the second acquisition time threshold;

[0033] The third data set is a data set formed by data obtained by various types of equipment whose data collection time interval is equal to or greater than the second acquisition time threshold.

[0034] Furthermore, the data processing unit comprises:

[0035] Data processing module for:

[0036] Clean, filter and convert the thermal power plant monitoring data transmitted from the data acquisition unit;

[0037] Data analysis module for:

[0038] Based on the processed monitoring data of thermal power plants, data mining technology is used to analyze the monitoring data of thermal power plants to obtain analysis results;

[0039] Data visualization modules for:

[0040] The Echarts data visualization tool is used to visualize the analysis results to form curves, graphs, and charts of the monitoring data changes of various thermal power plants and output them.

[0041] Furthermore, the data analysis module specifically performs the following process:

[0042] Collect historical monitoring data of thermal power plants;

[0043] The historical monitoring data is mined through data mining technology, and then the features of the historical monitoring data are extracted, and the historical monitoring data after feature extraction is divided into a training set and a test set;

[0044] The model is established by using an artificial neural network or a decision tree, and the established model is trained using a training set, and then the model is evaluated using a test set to evaluate the diagnostic accuracy of the model;

[0045] The trained and evaluated model is deployed and applied, and the thermal power plant monitoring data processed by the data processing module is transmitted to the model for analysis, and finally the analysis results are obtained.

[0046] Furthermore, the data mining technology adopts a cluster analysis method, through which the historical monitoring data are grouped into subsets with similar characteristics, and the detailed historical monitoring data are classified into one category, so as to understand the internal structure and relationship of the historical monitoring data.

[0047] Furthermore, the data application unit includes:

[0048] Data display module, used for:

[0049] The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and users can understand the situation of the thermal power plant through the displayed analysis results and monitoring data of the thermal power plant;

[0050] Secure access module for:

[0051] The monitoring data of thermal power plants are classified, and different access and operation permissions are established based on the classification results. The security of the smart power plant service analysis platform is ensured by establishing access and operation permissions.

[0052] Furthermore, the security access module includes:

[0053] Classification module for:

[0054] The monitoring data of thermal power plants are divided into different categories and levels, namely general data and core data. The core data is the information in the key areas of thermal power plant operation, and the general data is other information except the core data.

[0055] Permissions module, used to:

[0056] Different access and operation permissions are set up according to the categories and levels. Among them, access and operation permissions for core data are only granted to users who have passed strict review, and access and operation permissions for general data are granted relatively loosely. Access and operation permissions for general data are granted after the user's information is reviewed and passed.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The present invention collects the thermal power plant monitoring data obtained by the data sensing unit through the data collection unit, and at the same time, obtains the data collection time interval of each type of equipment, and can set a first acquisition time threshold and a second acquisition time threshold according to the data collection time interval, so that the thermal power plant monitoring data can be divided, and the corresponding transmission time interval is set according to the divided thermal power plant monitoring data, so as to transmit the thermal power plant monitoring data to the data processing unit. By setting different time thresholds according to the data collection time interval of each type of equipment, the data transmission effect can be optimized, thereby improving the real-time nature of the data, transmission efficiency and resource utilization efficiency.

[0059] 2. The data processing unit of the present invention adopts data mining technology to analyze the monitoring data of the thermal power plant. The data mining technology mines the historical monitoring data to establish a model, and then the currently monitored thermal power plant monitoring data is input into the model for analysis to obtain the analysis results, and then the visualization tools are used to form curves, graphs, and charts of the changes in monitoring data of various thermal power plants and output them, so that users can understand the situation of the thermal power plant more intuitively.

[0060] 3. The present invention displays the visualized analysis results and the collected thermal power plant monitoring data through a data application unit. At the same time, the thermal power plant monitoring data is classified, and different access and operation permissions are established according to the classification results. The security of the smart power plant service analysis platform is ensured by establishing access and operation permissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a module schematic diagram of the smart power plant service analysis platform of the present invention. DETAILED DESCRIPTION

[0062] 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.

[0063] In order to solve the technical problems that existing thermal power plants mainly rely on manual supervision, and the management method is relatively simple, lacking effective data support and intelligent management, and at the same time, traditional power plants are relatively weak in data support, making it difficult to achieve efficient data analysis, and thus unable to improve the management level of thermal power plants, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0064] The smart power plant service analysis platform based on big data technology includes:

[0065] Data sensing unit, used to:

[0066] Collect monitoring data of thermal power plants and monitor them by deploying various equipment to obtain monitoring data of thermal power plants;

[0067] Data acquisition unit for:

[0068] Collecting the thermal power plant monitoring data obtained by the data sensing unit, and transmitting the collected thermal power plant monitoring data to the data processing unit;

[0069] Data processing unit for:

[0070] Receive the thermal power plant monitoring data transmitted by the data acquisition unit, process and analyze the received thermal power plant monitoring data, and finally obtain the analysis results, visualize the analysis results using visualization tools and output them to the data application unit;

[0071] Data application unit, used to:

[0072] The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and security access rights are set to provide users with a smart power plant service analysis platform.

[0073] The operation process of the smart power plant service analysis platform is as follows:

[0074] The data perception unit monitors and collects the monitoring data of the thermal power plant in real time, and sends the monitoring data of the thermal power plant to the data acquisition unit. The data acquisition unit transmits the received monitoring data of the thermal power plant to the data processing unit. The data processing unit processes the monitoring data of the thermal power plant and analyzes the processed monitoring data of the thermal power plant. The analysis results are processed through visualization tools. The data application unit displays the visualized analysis results and the collected monitoring data of the thermal power plant, and sets security access rights for the smart power plant service analysis platform to improve the security of the smart power plant service analysis platform.

[0075] The data sensing unit obtains the monitoring data of the thermal power plant through various deployed devices, including:

[0076] Temperature and humidity sensors for:

[0077] Deployed on the power generation equipment of the thermal power plant, the temperature and humidity sensors deployed monitor the power generation equipment and finally obtain the temperature and humidity information of the power generation equipment. The power generation equipment includes generators, boilers, steam turbines and condensers.

[0078] Gas sensors for:

[0079] Deploy gas sensors in the thermal power plant, monitor the thermal power plant through the deployed gas sensors, and finally obtain gas information in the thermal power plant;

[0080] Pressure sensors for:

[0081] Deploy pressure sensors in thermal power plants, monitor pipelines, containers, and oil tanks through deployed gas sensors, and ultimately obtain pressure information inside the equipment;

[0082] Monitoring equipment for:

[0083] Through the installed monitoring equipment, each area of ​​the thermal power plant is monitored in real time, and finally the monitoring data of the thermal power plant is obtained.

[0084] The technical effects of the above content are as follows: the data perception unit is the basis of the smart power plant service analysis platform. The temperature and humidity sensors are used to monitor the temperature and humidity information of the power generation equipment. By monitoring the temperature and humidity of the power generation equipment, the normal operation and safety of the power generation equipment are ensured. The gas sensors are used to monitor the gas information in the thermal power plant to understand the air conditions of the thermal power plant. The pressure sensors are used to monitor the pressure information inside the pipelines, containers and oil tanks to understand the pressure conditions inside the equipment. The monitoring equipment is used to monitor various areas of the thermal power plant in real time, so as to obtain monitoring data about the thermal power plant, including equipment operation status monitoring, Fire source monitoring and employee monitoring in the plant area are carried out to understand the equipment operation, fire, employees, etc. of the thermal power plant. At the same time, it also includes obtaining the operating data of the thermal power plant. The operating data can reflect the production efficiency, energy consumption, equipment performance and operation status of the thermal power plant. This part of the operating data needs to be uploaded manually. The thermal power plant can be monitored in real time through the above-mentioned equipment, so that various thermal power plant monitoring data can be collected. The thermal power plant monitoring data can provide data support for the smart power plant service analysis platform. The thermal power plant monitoring data can be used to grasp the actual situation of the thermal power plant.

[0085] Data acquisition unit, including:

[0086] Data acquisition module for:

[0087] Collect the monitoring data of the thermal power plant monitored by the data sensing unit, store the collected monitoring data of the thermal power plant in the database, and at the same time, obtain the data collection time interval of various equipment;

[0088] Data transmission module for:

[0089] A transmission time interval is set, and the data transmission module transmits the thermal power plant monitoring data in the database to the data processing unit according to the transmission time interval.

[0090] Wherein, a first acquisition time threshold and a second acquisition time threshold are set according to the data collection time interval;

[0091] Dividing the collected thermal power plant monitoring data into a first data set, a second data set and a third data set according to a first acquisition time threshold and a second acquisition time threshold;

[0092] Corresponding transmission time intervals are set according to the first data set, the second data set and the third data set, and the thermal power plant monitoring data corresponding to the first data set, the second data set and the third data set are transmitted to the data processing unit according to the set transmission time intervals.

[0093] The first data set is a data set formed by data obtained by various devices whose data collection time interval is less than the first acquisition time threshold;

[0094] The second data set is a data set formed by data obtained by various types of devices whose data collection time interval is equal to or greater than the first acquisition time threshold but less than the second acquisition time threshold;

[0095] The third data set is a data set formed by data obtained by various types of equipment whose data collection time interval is equal to or greater than the second acquisition time threshold.

[0096] The technical effect of the above content is: the collected thermal power plant monitoring data are collected by the data collection module, and the collected thermal power plant monitoring data will be stored in the database. At the same time, the data collection time interval of each type of equipment is obtained. Since the data collection time of each type of equipment is different, the first acquisition time threshold and the second acquisition time threshold can be set according to the data collection time interval of each type of equipment, and the data with a data collection time interval less than the first acquisition time threshold is divided into a first data set, and the data with a data collection time interval equal to or greater than the first acquisition time threshold but less than the second acquisition time threshold is divided into a second data set, and the data with a data collection time interval equal to or greater than the second acquisition time threshold is divided into a third data set. Then, the data transmission module can set the corresponding transmission time interval according to the first data set, the second data set and the third data set, so that the data transmission module can transmit the thermal power plant monitoring data corresponding to the first data set, the second data set and the third data set in the data to the data processing unit according to the transmission time interval. By setting different time thresholds according to the data collection time interval of each type of equipment, and setting the transmission time interval accordingly, the personalization and flexibility of data transmission are realized, the resource utilization efficiency and the stability of data transmission are improved, thereby optimizing the data transmission effect, and improving the real-time performance of data, transmission efficiency and resource utilization efficiency.

[0097] Data processing unit, including:

[0098] Data processing module for:

[0099] Clean, filter and convert the thermal power plant monitoring data transmitted from the data acquisition unit;

[0100] Data analysis module for:

[0101] Based on the processed monitoring data of thermal power plants, data mining technology is used to analyze the monitoring data of thermal power plants to obtain analysis results;

[0102] Data visualization modules for:

[0103] The Echarts data visualization tool is used to visualize the analysis results to form curves, graphs, and charts of the monitoring data changes of various thermal power plants and output them.

[0104] Among them, the data analysis module specifically performs the following processes:

[0105] Collect historical monitoring data of thermal power plants;

[0106] The historical monitoring data is mined through data mining technology, and then the features of the historical monitoring data are extracted, and the historical monitoring data after feature extraction is divided into a training set and a test set. Among them, the data mining technology adopts a clustering analysis method, through which the historical monitoring data are grouped into subsets with similar features, and the detailed historical monitoring data are classified into one category, so as to understand the internal structure and relationship of the historical monitoring data;

[0107] The model is established by using an artificial neural network or a decision tree, and the established model is trained using a training set, and then the model is evaluated using a test set to evaluate the diagnostic accuracy of the model;

[0108] The trained and evaluated model is deployed and applied, and the thermal power plant monitoring data processed by the data processing module is transmitted to the model for analysis, and finally the analysis results are obtained.

[0109] The technical effect of the above content is: after the data processing unit receives the monitoring data of the thermal power plant, first, the data processing module is used to clean, filter and convert the monitoring data of the thermal power plant. The monitoring data of the thermal power plant is reviewed and verified through cleaning, including checking data consistency, processing invalid values ​​and missing values, etc., in order to discover and correct errors in the monitoring data of the thermal power plant, and delete the data that does not meet the requirements through filtering, leaving the useful data, so as to better analyze the monitoring data of the thermal power plant in the future, and ensure the accuracy and consistency of the data through conversion, so as to improve the reliability of the monitoring data of the thermal power plant. Then, the processed monitoring data of the thermal power plant is analyzed through the data analysis module. A large amount of historical monitoring data of the thermal power plant is collected first. The data mining technology can use the cluster analysis method to mine the historical monitoring data. The cluster analysis method can observe the characteristics of each cluster of historical monitoring data, so as to Similar historical monitoring data are grouped into one category according to the features, so that the internal structure and relationship of the historical monitoring data can be understood, and the features of the historical monitoring data can be extracted, and the historical monitoring data after feature extraction can be divided into training sets and test sets. Then, the model is established using methods such as artificial neural networks or decision trees, and the established model is trained and evaluated using the training set and test set. Finally, the trained and evaluated model is deployed and applied, so that the thermal power plant monitoring data processed by the data processing module is transmitted to the model for analysis, and finally the analysis results are obtained. The data visualization module can use the Echarts data visualization tool to visualize the analysis results to form curves, graphs, and charts of the changes in monitoring data of various thermal power plants and output them. By visualizing the analysis results, data comprehension can be improved and data interactivity can be enhanced, so that users can understand the situation of thermal power plants more intuitively.

[0110] Data application unit, including:

[0111] Data display module, used for:

[0112] The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and users can understand the situation of the thermal power plant through the displayed analysis results and monitoring data of the thermal power plant;

[0113] Secure access module for:

[0114] The monitoring data of thermal power plants are classified, and different access and operation permissions are established based on the classification results. The security of the smart power plant service analysis platform is ensured by establishing access and operation permissions.

[0115] Among them, the security access module includes:

[0116] Classification module for:

[0117] The monitoring data of thermal power plants are divided into different categories and levels, namely general data and core data. The core data is the information in the key areas of thermal power plant operation, and the general data is other information except the core data.

[0118] Permissions module, used to:

[0119] Different access and operation permissions are set up according to the categories and levels. Among them, access and operation permissions for core data are only granted to users who have passed strict review, and access and operation permissions for general data are granted relatively loosely. Access and operation permissions for general data are granted after the user's information is reviewed and passed.

[0120] The technical effect of the above content is: through the data display module, the analysis results that have been visualized and the collected thermal power plant monitoring data can be displayed. Displaying the analysis results is convenient for managers to manage the thermal power plant. Displaying the thermal power plant monitoring data is convenient for understanding the situation of the thermal power plant. Setting permissions through the security access module can ensure the security of the smart power plant service analysis platform. First, the monitoring data of the thermal power plant needs to be divided into general data and core data, and then different access and operation permissions are established according to the division results. Since it is information in key areas of thermal power plant operation, users need to be strictly reviewed, and general data is other information except core data, so the review is relatively loose. It should be noted that users with general data access and operation permissions can access and operate general data, but cannot access and operate core data, while users with core data access and operation permissions can not only access and operate core data, but also access and operate general data. Setting access permissions for the smart power plant service analysis platform can ensure the security of the platform. By limiting users' access rights to the smart power plant service analysis platform, unauthorized users can be prevented from accessing or operating unauthorized data, thereby reducing security risks.

[0121] Working principle: The data collection module collects various thermal power plant monitoring data collected by various devices, and obtains the data collection time interval of various devices, so that different time thresholds can be set according to the data collection time interval, and the transmission time interval can be set accordingly, so as to achieve the purpose of personalized and flexible data transmission, thereby optimizing the data transmission effect, improving data real-time, transmission efficiency and resource utilization efficiency, and then using the data processing unit to analyze the thermal power plant monitoring data using data mining technology, and mining the historical monitoring data using data mining technology to establish a model, and then input the currently monitored thermal power plant monitoring data into the model for analysis, so as to obtain the analysis results. , and then use visualization tools to form curves, graphs, and charts of changes in monitoring data of various thermal power plants and output them, which can improve data comprehension and enhance data interactivity, so that users can understand the situation of thermal power plants more intuitively, and the analysis results that have been visualized and the collected monitoring data of thermal power plants can be displayed through the data display module. In addition, the security access module can establish different access and operation permissions according to different categories and levels of monitoring data of thermal power plants. By limiting user access rights to the smart power plant service analysis platform, unauthorized users can be prevented from accessing or operating unauthorized data, thereby reducing security risks.

[0122] 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.

[0123] 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. A smart power plant service analysis platform based on big data technology, characterized by: include: Data sensing unit, used to: Collect monitoring data of thermal power plants and monitor them by deploying various equipment to obtain monitoring data of thermal power plants; Data acquisition unit for: Collecting the thermal power plant monitoring data obtained by the data sensing unit, and transmitting the collected thermal power plant monitoring data to the data processing unit; Data processing unit for: Receive the thermal power plant monitoring data transmitted by the data acquisition unit, process and analyze the received thermal power plant monitoring data, and finally obtain the analysis results, visualize the analysis results using visualization tools and output them to the data application unit; Data application unit, used for: The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and security access rights are set to provide users with a smart power plant service analysis platform.

2. The smart power plant service analysis platform based on big data technology according to claim 1 is characterized by: The data sensing unit obtains the monitoring data of the thermal power plant through various deployed devices, including: Temperature and humidity sensors for: Deployed on the power generation equipment of the thermal power plant, the temperature and humidity sensors deployed monitor the power generation equipment and finally obtain the temperature and humidity information of the power generation equipment. The power generation equipment includes generators, boilers, steam turbines and condensers. Gas sensors for: Deploy gas sensors in the thermal power plant, monitor the thermal power plant through the deployed gas sensors, and finally obtain gas information in the thermal power plant; Pressure sensors for: Deploy pressure sensors in thermal power plants, monitor pipelines, containers, and oil tanks through deployed gas sensors, and ultimately obtain pressure information inside the equipment; Monitoring equipment for: Through the installed monitoring equipment, each area of ​​the thermal power plant is monitored in real time, and finally the monitoring data of the thermal power plant is obtained; This also includes obtaining the operating data of the thermal power plant, which reflects the production efficiency, energy consumption, equipment performance and operating conditions of the thermal power plant. The operating data is manually uploaded to the thermal power plant.

3. The smart power plant service analysis platform based on big data technology according to claim 1 is characterized by: The data acquisition unit comprises: Data acquisition module for: Collect the monitoring data of the thermal power plant monitored by the data sensing unit, store the collected monitoring data of the thermal power plant in the database, and obtain the data collection time interval of various equipment; Data transmission module for: A transmission time interval is set, and the data transmission module transmits the thermal power plant monitoring data in the database to the data processing unit according to the transmission time interval.

4. The smart power plant service analysis platform based on big data technology according to claim 3 is characterized by: Setting a first acquisition time threshold and a second acquisition time threshold according to a data collection time interval; Dividing the collected thermal power plant monitoring data into a first data set, a second data set and a third data set according to a first acquisition time threshold and a second acquisition time threshold; Corresponding transmission time intervals are set according to the first data set, the second data set and the third data set, and the thermal power plant monitoring data corresponding to the first data set, the second data set and the third data set are transmitted to the data processing unit according to the set transmission time intervals.

5. The smart power plant service analysis platform based on big data technology according to claim 4 is characterized by: The first data set is a data set formed by data obtained by various types of devices whose data collection time interval is less than the first acquisition time threshold; The second data set is a data set formed by data obtained by various types of devices whose data collection time interval is equal to or greater than the first acquisition time threshold but less than the second acquisition time threshold; The third data set is a data set formed by data obtained by various types of equipment whose data collection time interval is equal to or greater than the second acquisition time threshold.

6. The smart power plant service analysis platform based on big data technology according to claim 1 is characterized by: The data processing unit comprises: Data processing module for: Clean, filter and convert the thermal power plant monitoring data transmitted from the data acquisition unit; Data analysis module for: Based on the processed monitoring data of thermal power plants, data mining technology is used to analyze the monitoring data of thermal power plants to obtain analysis results; Data visualization modules for: The Echarts data visualization tool is used to visualize the analysis results to form curves, graphs, and charts of the monitoring data changes of various thermal power plants and output them.

7. The smart power plant service analysis platform based on big data technology according to claim 6 is characterized by: The data analysis module specifically performs the following process: Collect historical monitoring data of thermal power plants; The historical monitoring data is mined through data mining technology, and then the features of the historical monitoring data are extracted, and the historical monitoring data after feature extraction is divided into a training set and a test set; The model is established by using an artificial neural network or a decision tree, and the established model is trained using a training set, and then the model is evaluated using a test set to evaluate the diagnostic accuracy of the model; The trained and evaluated model is deployed and applied, and the thermal power plant monitoring data processed by the data processing module is transmitted to the model for analysis, and finally the analysis results are obtained.

8. The smart power plant service analysis platform based on big data technology according to claim 7 is characterized by: The data mining technology adopts a cluster analysis method, through which the historical monitoring data are grouped into subsets with similar characteristics, and the detailed historical monitoring data are classified into one category, so as to understand the internal structure and relationship of the historical monitoring data.

9. The smart power plant service analysis platform based on big data technology according to claim 1 is characterized by: The data application unit comprises: Data display module, used for: The visualized analysis results and the collected monitoring data of the thermal power plant are displayed, and users can understand the situation of the thermal power plant through the displayed analysis results and monitoring data of the thermal power plant; Secure access module for: The monitoring data of thermal power plants are classified, and different access and operation permissions are established based on the classification results. The security of the smart power plant service analysis platform is ensured by establishing access and operation permissions.

10. The smart power plant service analysis platform based on big data technology according to claim 9 is characterized by: The security access module comprises: Classification module for: The monitoring data of thermal power plants are divided into different categories and levels, namely general data and core data; Permissions module, used to: Different access and operation permissions are set up according to the categories and levels. Among them, access and operation permissions for core data are only granted to users who have passed strict review, and access and operation permissions for general data are granted relatively loosely. Access and operation permissions for general data are granted after the user's information is reviewed and passed.

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