A power plant equipment operation state monitoring and alarming system and method

Abstract

The present application relates to the technical fields of power plant equipment operation state monitoring, more particularly to a power plant equipment operation state monitoring and alarming system and method, comprising: a collecting module, collecting operation state data of a target equipment of the power plant to obtain a first data set and a second data set; an analyzing module, analyzing the first data set and the second data set to judge the aging state of the target equipment; generating an alarm information when abnormal data occurs; an alarming module, matching the alarm information in an alarm processing set to determine the generation cause and processing method of the alarm information; and a display module, displaying the alarm information, the generation cause and processing method of the alarm information, and the location information of the target equipment; determining the generation cause and corresponding solution method according to the abnormal state data to provide a reference for solving the fault and improve the stability of the power plant equipment operation.

Description

Technical Field

[0001] This invention relates to the field of thermal power plant equipment operation status monitoring technology, and more specifically to a thermal power plant equipment operation status monitoring and alarm system and method. Background Technology

[0002] During the operation of thermal power plants, the operating status of the equipment directly affects the power output, and in severe cases, can even impact the safety of the equipment and personnel. Therefore, improving the reliability and safety of power plant units during operation, and being able to make timely and accurate judgments on abnormal parameter states during unit operation, is of great significance.

[0003] Current technologies for condition monitoring of thermal power plant equipment primarily involve collecting data from target equipment using sensors and setting thresholds to judge the data and determine the operating status of the equipment. However, the accuracy of these judgments is poor, and the causes of malfunctions cannot be determined based on the data.

[0004] Therefore, how to judge the operating status of thermal power plant equipment and analyze the causes of its occurrence is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a monitoring and alarm system and method for the operating status of thermal power plant equipment. The system judges the aging degree of the equipment by analyzing the trend of data changes; judges the abnormal state of the target equipment by analyzing the occurrence period and frequency of abnormal data; and determines the cause and corresponding solution based on the abnormal state data, providing a reference for troubleshooting and improving the stability of thermal power plant equipment operation.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] Preferably, the above-mentioned thermal power plant equipment operation status monitoring and alarm system includes:

[0008] The data acquisition module collects operational status data of the target equipment in the thermal power plant to obtain a first dataset and a second dataset.

[0009] The analysis module analyzes the first and second datasets to determine the aging status of the target device; when abnormal data is detected, it generates alarm information.

[0010] The alarm module matches the alarm information with the alarm processing set to determine the cause of alarm information generation and the processing method.

[0011] The display module displays the alarm information, the reasons for its generation, and the processing method, as well as the location information of the target device.

[0012] Preferably, in the above-mentioned thermal power plant equipment operation status monitoring and alarm system, the acquisition module includes:

[0013] The first acquisition unit is equipped with two data acquisition devices to acquire data from the target device, thereby acquiring the first raw data and the second raw data of the target device.

[0014] The first preprocessing unit preprocesses the first raw data and the second raw data to remove noise data from the first raw data and the second raw data.

[0015] The second preprocessing unit uses the mean substitution method to fill in the missing data in the first original data and the second original data;

[0016] The normalization unit is used to normalize the preprocessed first raw data and the second raw data to obtain the first dataset and the second dataset.

[0017] Preferably, in the above-mentioned thermal power plant equipment operation status monitoring and alarm system, the analysis module includes:

[0018] The first threshold unit is used to extract the first fault information when the target device malfunctions based on the historical data of the target device, generate a two-dimensional line graph of the change trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph.

[0019] The first processing unit processes the first dataset and the second dataset according to the anomaly threshold. It extracts first abnormal data exceeding the anomaly threshold from both datasets. If the first abnormal data exists in both datasets, it retains the first abnormal data; otherwise, it deletes the first abnormal data. All remaining first abnormal data generates two first abnormal sets. The corresponding data in the two first abnormal sets are averaged to obtain a second abnormal set. The remaining data after removing the first abnormal data generates two first normal sets. The corresponding data in the two first normal sets are averaged to obtain a second normal set.

[0020] The first judgment unit is used to generate a two-dimensional line graph of the data changes of the target device during normal operation based on the normal data in the historical data of the target device; to judge the aging trend of the target device based on the data changes in the two-dimensional line graph and the data of the second normal set; and to generate an aging alarm for the target device based on the abnormal threshold.

[0021] The second judgment unit is used to classify the data in the second anomaly set according to the size of the data value; to periodically judge the abnormal data of each level; if the abnormal data occurs periodically, it is judged that the target device has generated a fault and an alarm message is issued.

[0022] The third judgment unit is used to determine whether the abnormal data of each level within a preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, it is determined that the target device has malfunctioned and an alarm message is generated.

[0023] Preferably, in the above-mentioned thermal power plant equipment operation status monitoring and alarm system, the alarm module includes:

[0024] The recording unit is used to establish the alarm processing set to record all alarm information and the corresponding causes and processing methods of the alarm information; wherein, the alarm information includes information on abnormal data;

[0025] The matching unit is used to match the alarm information with the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

[0026] Preferably, in the above-mentioned thermal power plant equipment operation status monitoring and alarm system, the display module includes:

[0027] The map unit generates a map of the equipment distribution in the thermal power plant and flashes to alert the target equipment when it generates an alarm message.

[0028] Status units are used to display the operating status of various equipment in a thermal power plant through a two-dimensional line graph.

[0029] The mobile unit is used to display a map of the thermal power plant on a mobile device, generate a driving route between the mobile device and the target device based on the location of the mobile device and the target device, and display the cause of the alarm information and the handling method.

[0030] Preferably, a method for monitoring and alarming the operating status of thermal power plant equipment includes:

[0031] S1, collect the operating status data of the target equipment in the thermal power plant to obtain the first dataset and the second dataset;

[0032] S2, Analyze the first dataset and the second dataset to determine the aging status of the target device; when abnormal data occurs, generate alarm information;

[0033] S3, Match the alarm information in the alarm processing set to determine the cause of alarm information generation and processing method;

[0034] S4, display the alarm information, the reason for the alarm information and the processing method, and display the location information of the target device.

[0035] Preferably, a method for monitoring and alarming the operating status of thermal power plant equipment includes collecting operating status data of target equipment in the thermal power plant to obtain a first dataset and a second dataset, comprising:

[0036] S11, Set up two data acquisition devices to collect data from the target device and obtain the first raw data and the second raw data of the target device;

[0037] S12, preprocess the first raw data and the second raw data to remove noise data from the first raw data and the second raw data;

[0038] S13, use the mean substitution method to fill in the missing data in the first original data and the second original data;

[0039] S14, normalize the preprocessed first raw data and second raw data to obtain the first dataset and the second dataset.

[0040] Preferably, a method for monitoring and alarming the operating status of thermal power plant equipment includes analyzing the first dataset and the second dataset to determine the aging status of the target equipment; and generating alarm information when abnormal data is detected, including:

[0041] S21, extract the first fault information when the target device malfunctions based on the historical data of the target device, generate a two-dimensional line graph of the change trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph;

[0042] S22, process the first dataset and the second dataset according to the anomaly threshold, extract the first abnormal data in the first dataset and the second dataset that exceeds the anomaly threshold, if the first abnormal data exists in both the first dataset and the second dataset, retain the first abnormal data; otherwise, delete the first abnormal data; generate two first abnormal sets from all the remaining first abnormal data; calculate the average of the corresponding data in the two first abnormal sets to obtain a second abnormal set; generate two first normal sets from the data remaining after removing the first abnormal data, calculate the average of the corresponding data in the two first normal sets to obtain a second normal set;

[0043] S23, Based on the normal data in the historical data of the target device, generate a two-dimensional line graph of the data changes during normal operation of the target device; Based on the data changes in the two-dimensional line graph and the data of the second normal set, determine the aging trend of the target device, and generate an aging alarm for the target device according to the abnormal threshold.

[0044] S24, classify the data in the second abnormal set according to the size of the data value; periodically judge the abnormal data of each level, and if the abnormal data occurs periodically, it is judged that the target device has generated a fault and alarm information is issued;

[0045] S25, determine whether the abnormal data of each level within the preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, determine that the target device has malfunctioned and generate alarm information.

[0046] Preferably, a method for monitoring and alarming the operating status of thermal power plant equipment includes the step of matching the alarm information in an alarm processing set to determine the cause of alarm information generation and the processing method, comprising:

[0047] S31, Establish the alarm processing set to record all alarm information and the corresponding causes and processing methods for each alarm information; wherein, alarm information includes information about abnormal data;

[0048] S32, based on the alarm information, match the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

[0049] Preferably, a method for monitoring and alarming the operating status of thermal power plant equipment includes displaying the alarm information, the cause of the alarm information, and the processing method, as well as displaying the location information of the target equipment, comprising:

[0050] S41, generate a map of the equipment distribution in the thermal power plant, and flash a reminder when the target equipment generates an alarm message;

[0051] S42 displays the operating status of various equipment in a thermal power plant using a two-dimensional line graph;

[0052] S43, Display a map of the thermal power plant on the mobile device, generate a driving route between the mobile device and the target device based on the location of the mobile device and the target device, and display the reason for the generation of the alarm information and the handling method.

[0053] As can be seen from the above technical solution, compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] 1. By analyzing data trends, the aging level of equipment can be determined; by analyzing the occurrence cycle and frequency of abnormal data, the abnormal state of the target equipment can be determined, and the causes and corresponding solutions can be identified based on the abnormal state data, providing a reference for troubleshooting and improving the stability of thermal power plant equipment operation. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0056] Figure 1 The attached figure is a functional flowchart of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] In this invention, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance; the term "multiple" refers to two or more unless otherwise explicitly defined. The terms "install," "connect," "link," and "fix" should be interpreted broadly. For example, "connect" can be a fixed connection, a detachable connection, or an integral connection; "link" can be a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0059] In the description of this invention, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or unit referred to must have a specific orientation or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0060] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0061] Example 1

[0062] like Figure 1 As shown in the figure, an embodiment of the present invention discloses a monitoring and alarm system for the operating status of thermal power plant equipment, comprising:

[0063] The data acquisition module collects operational status data of the target equipment in the thermal power plant to obtain a first dataset and a second dataset.

[0064] The analysis module analyzes the first and second datasets to determine the aging status of the target device; when abnormal data is detected, it generates alarm information.

[0065] The alarm module matches alarm information with the alarm processing set to determine the cause of alarm information generation and the processing method.

[0066] The display module shows the alarm information, the reasons for the alarm information, and the handling methods, as well as the location information of the target device.

[0067] In the above embodiments, the operating status data of the target device includes: sound information and vibration information for monitoring abnormal noises and vibrations of the target device;

[0068] In the above embodiments, the analysis module processes data through a data server within the power plant; the alarm module and display module are located in the monitoring center of the power plant, and display and alarm functions are provided through a monitor.

[0069] The beneficial effects of the above embodiments are as follows: the aging degree of the equipment is judged by the trend of data changes; the abnormal state of the target equipment is judged by the occurrence period and frequency of abnormal data, and the cause and corresponding solution are determined based on the abnormal state data, providing a reference for troubleshooting and improving the stability of thermal power plant equipment operation.

[0070] The acquisition module includes:

[0071] The first acquisition unit is equipped with two data acquisition devices to acquire data from the target device, thereby acquiring the first raw data and the second raw data of the target device.

[0072] The first preprocessing unit preprocesses the first raw data and the second raw data to remove noise data from the first raw data and the second raw data.

[0073] The second preprocessing unit uses the mean substitution method to fill in the missing data in the first and second original data;

[0074] The normalization unit is used to normalize the preprocessed first and second original data to obtain the first dataset and the second dataset.

[0075] In the above embodiments, setting up two sets of devices to collect data from the target device can reduce the impact of abnormal data caused by environmental factors on the monitoring results.

[0076] In the above embodiments, the data is subjected to noise removal, data completion, and normalization processing, which are existing techniques known to those skilled in the art and can improve the stability of the collected data.

[0077] The analysis module includes:

[0078] The first threshold unit is used to extract the first fault information when the target device fails based on the historical data of the target device, generate a two-dimensional line graph of the change trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph.

[0079] The first processing unit processes the first dataset and the second dataset according to an anomaly threshold. It extracts first abnormal data exceeding the threshold from both datasets. If first abnormal data exists in both datasets, it retains the first abnormal data; otherwise, it deletes it. All remaining first abnormal data generates two first abnormal sets. The corresponding data in the two first abnormal sets are averaged to obtain a second abnormal set. The remaining data after removing the first abnormal data generates two first normal sets. The corresponding data in the two first normal sets are averaged to obtain a second normal set.

[0080] The first judgment unit is used to generate a two-dimensional line graph of the data changes of the target device during normal operation based on the normal data in the historical data of the target device; to judge the aging trend of the target device based on the data changes of the two-dimensional line graph and the data of the second normal set; and to generate an aging alarm for the target device based on the abnormal threshold.

[0081] The second judgment unit is used to classify the data in the second anomaly set according to the size of the data value; to periodically judge the abnormal data of each level; if the abnormal data occurs periodically, it is judged that the target device has generated a fault and an alarm message is issued.

[0082] The third judgment unit is used to determine whether the abnormal data of each level within a preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, it is determined that the target device has malfunctioned and an alarm message is generated.

[0083] In the above embodiments, the anomaly threshold and the quantity threshold are obtained through historical data of the device and the experience of those skilled in the art;

[0084] In the above embodiments, it should be noted that when judging abnormal noises and vibrations of the equipment, the frequency of abnormal data may be low, but it may appear periodically. When the equipment exhibits periodic abnormal noises or vibrations, it is judged that there is a problem with the equipment.

[0085] The alarm module includes:

[0086] The recording unit is used to establish an alarm processing set to record all alarm information and the corresponding causes and handling methods for each alarm; among which, alarm information includes information on abnormal data;

[0087] The matching unit is used to match the alarm information with the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

[0088] In the above embodiments, the alarm processing set is a dataset from a database, and matching is performed based on the characteristics of the alarm information, which is a prior art technique.

[0089] The beneficial effects of the above embodiments are: by setting an alarm processing set, the cause of the fault and the solution can be obtained quickly as a reference, thereby improving the efficiency of equipment fault resolution.

[0090] The display module includes:

[0091] The map unit generates a map of the equipment distribution in the thermal power plant and flashes to alert the target equipment when it generates an alarm message.

[0092] Status units are used to display the operating status of various equipment in a thermal power plant through a two-dimensional line graph.

[0093] The mobile unit is used to display a map of the thermal power plant on a mobile device, generate a travel route between the mobile device and the target device based on their respective locations, and display the cause of alarm information and the handling method.

[0094] In the above embodiments, the mobile device is preferably a mobile phone; the map information in the server is obtained through the wireless network in the thermal power plant, and the server analyzes the driving route;

[0095] The beneficial effect of the above embodiments is that they can improve the efficiency of troubleshooting faulty equipment.

[0096] Example 2

[0097] In one embodiment, a method for monitoring and alarming the operating status of thermal power plant equipment includes:

[0098] S1, collect the operating status data of the target equipment in the thermal power plant to obtain the first dataset and the second dataset;

[0099] S2 analyzes the first and second datasets to determine the aging status of the target device; when abnormal data is detected, an alarm message is generated.

[0100] S3, Match the alarm information in the alarm processing set to determine the cause of alarm information generation and processing method;

[0101] S4 displays the alarm information, the reason for the alarm information, and the handling method, and also displays the location information of the target device.

[0102] The process involves collecting operational status data from target equipment in thermal power plants to obtain a first dataset and a second dataset, including:

[0103] S11, Set up two data acquisition devices to collect data from the target device and obtain the first raw data and the second raw data of the target device;

[0104] S12, preprocess the first raw data and the second raw data to remove noisy data from the first raw data and the second raw data;

[0105] S13, use the mean substitution method to fill in the missing data in the first and second original data;

[0106] S14, normalize the preprocessed first and second raw data to obtain the first dataset and the second dataset.

[0107] Specifically, the first and second datasets are analyzed to determine the aging status of the target devices; when abnormal data is detected, alarm information is generated, including:

[0108] S21, extract the first fault information when the target device malfunctions based on the historical data of the target device, generate a two-dimensional line graph of the changing trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph;

[0109] S22, process the first dataset and the second dataset according to the anomaly threshold, extract the first abnormal data in the first dataset and the second dataset that exceeds the anomaly threshold, if the first abnormal data exists in both the first dataset and the second dataset, retain the first abnormal data, otherwise delete the first abnormal data; generate two first abnormal sets from all the remaining first abnormal data; calculate the average of the corresponding data in the two first abnormal sets to obtain the second abnormal set; generate two first normal sets from the data remaining after removing the first abnormal data, calculate the average of the corresponding data in the two first normal sets to obtain the second normal set;

[0110] S23, Based on the normal data in the historical data of the target device, generate a two-dimensional line graph of the data changes during normal operation of the target device; Based on the data changes in the two-dimensional line graph and the data of the second normal set, judge the aging trend of the target device, and generate an aging alarm for the target device according to the abnormal threshold;

[0111] S24, classify the data in the second anomaly set according to the size of the data value; periodically judge the abnormal data of each level, and if the abnormal data occurs periodically, it is judged that the target device has generated a fault and alarm information is issued;

[0112] S25, determine whether the abnormal data of each level within the preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, determine that the target device has malfunctioned and generate alarm information.

[0113] This includes matching alarm information within the alarm processing set to determine the cause of alarm generation and the processing method, including:

[0114] S31, Establish an alarm processing set to record all alarm information and the corresponding causes and handling methods for each alarm; among which, alarm information includes information on abnormal data;

[0115] S32, based on the alarm information, match the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

[0116] This includes displaying alarm information, the reasons for its generation, and the processing methods, as well as the location information of the target device, including:

[0117] S41, generate a map of the equipment distribution in the thermal power plant, and flash a reminder when the target equipment generates an alarm message;

[0118] S42 displays the operating status of various equipment in a thermal power plant using a two-dimensional line graph;

[0119] S43 displays a map of the thermal power plant on the mobile device, generates a driving route between the mobile device and the target device based on their respective locations, and displays the cause of the alarm information and the handling method.

[0120] The method provided in this embodiment is applied to the system of embodiment 1, and its beneficial effects are similar, so they will not be repeated here.

[0121] It should be noted that the above embodiments are merely illustrative examples of the division of functional modules. In practical applications, the functions described above can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are merely for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0122] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0123] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0124] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, enabling those skilled in the art to implement or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, this invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A monitoring and alarm system for the operating status of thermal power plant equipment, characterized in that, include: The data acquisition module collects operational status data of the target equipment in the thermal power plant to obtain a first dataset and a second dataset. The analysis module analyzes the first dataset and the second dataset to determine the aging status of the target device; When abnormal data is detected, an alarm message is generated; The alarm module matches the alarm information with the alarm processing set to determine the cause of alarm information generation and the processing method. The display module displays the alarm information, the reasons for its generation, and the processing method, as well as the location information of the target device. The analysis module includes: The first threshold unit is used to extract the first fault information when the target device malfunctions based on the historical data of the target device, generate a two-dimensional line graph of the change trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph. The first processing unit processes the first dataset and the second dataset according to the anomaly threshold, extracts the first abnormal data in the first dataset and the second dataset that exceeds the anomaly threshold, retains the first abnormal data if the first abnormal data exists in both the first dataset and the second dataset, otherwise deletes the first abnormal data; and generates two first abnormal sets from all the remaining first abnormal data. The corresponding data in the two first abnormal sets are averaged to obtain the second abnormal set; the remaining data after removing the first abnormal data are used to generate two first normal sets, and the corresponding data in the two first normal sets are averaged to obtain the second normal set; The first judgment unit is used to generate a two-dimensional line graph of the data changes of the target device during normal operation based on the normal data in the historical data of the target device; to judge the aging trend of the target device based on the data changes in the two-dimensional line graph and the data of the second normal set; and to generate an aging alarm for the target device based on the abnormal threshold. The second judgment unit is used to classify the data in the second anomaly set according to the size of the data value; to periodically judge the abnormal data of each level; if the abnormal data occurs periodically, it is judged that the target device has generated a fault and an alarm message is issued. The third judgment unit is used to determine whether the abnormal data of each level within a preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, it is determined that the target device has malfunctioned and an alarm message is generated.

2. The power plant equipment operation status monitoring and alarm system according to claim 1, characterized in that, The acquisition module includes: The first acquisition unit is equipped with two data acquisition devices to acquire data from the target device, thereby acquiring the first raw data and the second raw data of the target device. The first preprocessing unit preprocesses the first raw data and the second raw data to remove noise data from the first raw data and the second raw data. The second preprocessing unit uses the mean substitution method to fill in the missing data in the first original data and the second original data; The normalization unit is used to normalize the preprocessed first raw data and the second raw data to obtain the first dataset and the second dataset.

3. The power plant equipment operation status monitoring and alarm system according to claim 1, characterized in that, The alarm module includes: The recording unit is used to establish the alarm processing set to record all alarm information and the corresponding causes and processing methods of the alarm information; wherein, the alarm information includes information on abnormal data; The matching unit is used to match the alarm information with the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

4. The power plant equipment operation status monitoring and alarm system according to claim 1, characterized in that, The display module includes: The map unit generates a map of the equipment distribution in the thermal power plant and flashes to alert the target equipment when it generates an alarm message. Status units are used to display the operating status of various equipment in a thermal power plant through a two-dimensional line graph. The mobile unit is used to display a map of the thermal power plant on a mobile device, generate a driving route between the mobile device and the target device based on the location of the mobile device and the target device, and display the cause of the alarm information and the handling method.

5. A method for monitoring and alarming the operating status of equipment in a thermal power plant, characterized in that, include: S1, collect the operating status data of the target equipment in the thermal power plant to obtain the first dataset and the second dataset; S2, Analyze the first dataset and the second dataset to determine the aging status of the target device; When abnormal data is detected, an alarm message is generated; S3, Match the alarm information in the alarm processing set to determine the cause of alarm information generation and processing method; S4, Display the alarm information, the reason for the alarm information and the processing method, and display the location information of the target device at the same time; The first dataset and the second dataset are analyzed to determine the aging status of the target device; When abnormal data is detected, an alarm message is generated, including: S21, extract the first fault information when the target device malfunctions based on the historical data of the target device, generate a two-dimensional line graph of the change trend of the target device fault data based on the first fault information, and determine the abnormal threshold of the target device based on the two-dimensional line graph; S22, process the first dataset and the second dataset according to the anomaly threshold, extract the first abnormal data in the first dataset and the second dataset that exceeds the anomaly threshold, if the first abnormal data exists in both the first dataset and the second dataset, retain the first abnormal data; otherwise, delete the first abnormal data; generate two first abnormal sets from all the remaining first abnormal data; calculate the average of the corresponding data in the two first abnormal sets to obtain a second abnormal set; generate two first normal sets from the data remaining after removing the first abnormal data, calculate the average of the corresponding data in the two first normal sets to obtain a second normal set; S23, Based on the normal data in the historical data of the target device, generate a two-dimensional line graph of the data changes during normal operation of the target device; Based on the data changes in the two-dimensional line graph and the data of the second normal set, determine the aging trend of the target device, and generate an aging alarm for the target device according to the abnormal threshold. S24, classify the data in the second abnormal set according to the size of the data value; periodically judge the abnormal data of each level, and if the abnormal data occurs periodically, it is judged that the target device has generated a fault and alarm information is issued; S25, determine whether the abnormal data of each level within the preset time period is greater than the corresponding quantity threshold. If it exceeds the preset quantity threshold, determine that the target device has malfunctioned and generate alarm information.

6. The method for monitoring and alarming the operating status of thermal power plant equipment according to claim 5, characterized in that, The process of collecting operational status data from target equipment in a thermal power plant yields a first dataset and a second dataset, including: S11, Set up two data acquisition devices to collect data from the target device and obtain the first raw data and the second raw data of the target device; S12, preprocess the first raw data and the second raw data to remove noise data from the first raw data and the second raw data; S13, use the mean substitution method to fill in the missing data in the first original data and the second original data; S14, normalize the preprocessed first raw data and second raw data to obtain the first dataset and the second dataset.

7. The method for monitoring and alarming the operating status of thermal power plant equipment according to claim 5, characterized in that, The step of matching the alarm information in the alarm processing set to determine the cause of alarm information generation and processing method includes: S31, Establish the alarm processing set to record all alarm information and the corresponding causes and processing methods for each alarm information; wherein, alarm information includes information about abnormal data; S32, based on the alarm information, match the frequency and magnitude of abnormal data in the alarm information set to obtain the reference cause and handling method of the alarm information.

8. A method for monitoring and alarming the operating status of thermal power plant equipment according to claim 5, characterized in that, The process of displaying the alarm information, its generation cause, and processing method, along with the location information of the target device, includes: S41, generate a map of the equipment distribution in the thermal power plant, and flash a reminder when the target equipment generates an alarm message; S42 displays the operating status of various equipment in a thermal power plant using a two-dimensional line graph; S43, Display a map of the thermal power plant on the mobile device, generate a driving route between the mobile device and the target device based on the location of the mobile device and the target device, and display the reason for the generation of the alarm information and the handling method.

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