Thermal power generating unit non-stop diagnosis system

Abstract

The invention relates to the field of thermal power generating unit power grid dispatching, in particular to a thermal power generating unit non-stop diagnosis system which comprises a non-stop enterprise terminal, a power grid dispatching terminal and a man-machine interaction terminal. The non-stop enterprise terminal generates a non-stop report according to the non-stop condition, and the power grid dispatching terminal generates a supplementary information instruction, decision data or recheck data according to the non-stop report, sends the supplementary information instruction to the non-stop enterprise terminal and sends the decision data or the recheck data to the man-machine interaction terminal; and the man-machine interaction terminal displays the decision data or the recheck data. According to the system, the non-stop report uploaded by the non-stop enterprise terminal is identified and analyzed through the power grid dispatching terminal, so that the identification speed and accuracy of the non-stop event of the thermal power generating unit are improved, and false report, missing report, concealment report and false report are reduced; real-time decision support is provided for power grid dispatching, and the response speed and the processing efficiency of a power grid are improved.

Description

Technical Field

[0001] The present application relates to the field of power grid dispatching of thermal power generating units, and in particular to a non-shutdown diagnosis system for thermal power generating units. Background Art

[0002] In recent years, with the proposal of the "dual carbon" goal, the proportion of clean energy such as wind power and solar power has gradually increased, and the proportion of thermal power generation has decreased year by year. However, due to the intermittent and random nature of clean energy such as wind power and solar power, thermal power generation has gradually become a "ballast stone" and "regulator", and its role in maintaining the stable operation of the power grid has become increasingly significant.

[0003] However, thermal power units may experience unplanned downtime (abbreviated as "unplanned downtime") due to various faults during operation. These unplanned downtime events not only affect power generation efficiency, but may also threaten the stable operation of the power grid. In addition, the maintenance time required to reconnect to the grid after the unit has been unplanned downtime is also a key concern of the power grid dispatcher.

[0004] The existing methods and systems for analyzing unplanned outage accidents determine the causes and solutions based on the collected data. However, this method is used for unplanned outages of power generation companies, and the solutions are also for the power generation companies themselves, not for power grid dispatchers. When power grid dispatchers handle unplanned outages, they need to send experts to the site to identify the causes of unplanned outages reported by power generation companies and evaluate the maintenance time they propose. The timeliness and accuracy of this method cannot be guaranteed. Summary of the invention

[0005] In order to solve the problem of poor timeliness and accuracy of the processing method of unplanned shutdown of power grid dispatch in the prior art, a thermal power unit unplanned shutdown diagnosis system is proposed.

[0006] A non-stop diagnostic system for thermal power units, comprising a non-stop enterprise terminal, a power grid dispatching terminal and a human-computer interaction terminal;

[0007] The non-stop enterprise terminal is used to generate a non-stop report according to the non-stop situation, and send the non-stop report to the power grid dispatching terminal; the power grid dispatching terminal is used to generate supplementary information instructions, decision data or review data according to the received non-stop report, and send the supplementary information instructions to the non-stop enterprise terminal, and send the decision data or review data to the human-computer interaction terminal;

[0008] The human-computer interaction terminal is used to display received decision data or review data.

[0009] Preferably, the power grid dispatching terminal includes a communication module, a preprocessing module, a non-stop diagnosis module and a decision support module;

[0010] The communication module is used to receive the non-stop report sent by the non-stop enterprise terminal, and send the non-stop report to the pre-processing module; the non-stop report includes non-stop data, initial inspection non-stop reasons and planned maintenance duration;

[0011] The preprocessing module is used to compare the received non-stop data with the set standard non-stop data. If there is data missing in the non-stop data, a supplementary information instruction is generated and sent to the communication module; the communication module sends the supplementary information instruction to the non-stop enterprise terminal; if there is no data missing in the non-stop data information, the non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are processed; the processed non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are input into the non-stop diagnosis module;

[0012] The non-stop diagnosis module is used to obtain the actual non-stop cause and the actual maintenance duration according to the input processed non-stop data, and send the non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration to the decision support module;

[0013] The decision support module is used to compare the input initial inspection non-stop cause and planned maintenance duration with the actual non-stop cause and actual maintenance duration respectively. If the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration does not reach the threshold, a decision suggestion is generated based on the initial inspection non-stop cause, and decision data is obtained based on the generated decision suggestion and the received non-stop data, and the decision data is sent to the human-computer interaction terminal; if the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration reaches the threshold, or the initial inspection non-stop cause is different from the actual non-stop cause, review data is obtained based on the received non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration, and the review data is sent to the human-computer interaction terminal.

[0014] Beneficial Effects

[0015] The present application discloses a thermal power unit non-stop diagnostic system, including a non-stop enterprise terminal, a power grid dispatching terminal and a human-computer interaction terminal; the non-stop enterprise terminal generates a non-stop report according to the non-stop situation, and the power grid dispatching terminal generates supplementary information instructions, decision data or review data according to the received non-stop report, and sends the supplementary information instructions to the non-stop enterprise terminal, and sends the decision data or review data to the human-computer interaction terminal; the human-computer interaction terminal displays the received decision data or review data. The system recognizes and analyzes the non-stop reports uploaded by the non-stop enterprise terminal through the power grid dispatching terminal, improves the recognition speed and accuracy of thermal power unit non-stop events, reduces false alarms, missed alarms, concealed alarms and false alarms; provides real-time decision support for power grid dispatching, and improves the response speed and processing efficiency of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1This is a structural diagram of a non-shutdown diagnostic system for a thermal power unit according to a specific implementation method of the present application. DETAILED DESCRIPTION

[0017] The following will be combined Figure 1 , explain this implementation mode, and clearly and completely describe the technical solutions in the embodiments of the present invention;

[0018] A non-stop diagnostic system for thermal power units, comprising a non-stop enterprise terminal, a power grid dispatching terminal and a human-computer interaction terminal;

[0019] The non-stop enterprise terminal is used to generate a non-stop report according to the non-stop situation, and send the non-stop report to the power grid dispatching terminal; the power grid dispatching terminal is used to generate supplementary information instructions, decision data or review data according to the received non-stop report, and send the supplementary information instructions to the non-stop enterprise terminal, and send the decision data or review data to the human-computer interaction terminal;

[0020] The human-computer interaction terminal is used to display received decision data or review data.

[0021] Furthermore, the power grid dispatching terminal includes a communication module, a preprocessing module, a non-stop diagnosis module and a decision support module;

[0022] The communication module is used to receive the non-stop report sent by the non-stop enterprise terminal, and send the non-stop report to the pre-processing module; the non-stop report includes non-stop data, initial inspection non-stop reasons and planned maintenance duration;

[0023] The preprocessing module is used to compare the received non-stop data with the set standard non-stop data. If there is data missing in the non-stop data, a supplementary information instruction is generated and sent to the communication module; the communication module sends the supplementary information instruction to the non-stop enterprise terminal; if there is no data missing in the non-stop data information, the non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are processed; the processed non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are input into the non-stop diagnosis module;

[0024] The non-stop diagnosis module is used to obtain the actual non-stop cause and the actual maintenance duration according to the input processed non-stop data, and send the non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration to the decision support module;

[0025] The decision support module is used to compare the input initial inspection non-stop cause and planned maintenance duration with the actual non-stop cause and actual maintenance duration respectively. If the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration does not reach the threshold, a decision suggestion is generated based on the initial inspection non-stop cause, and decision data is obtained based on the generated decision suggestion and the received non-stop data, and the decision data is sent to the human-computer interaction terminal; if the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration reaches the threshold, or the initial inspection non-stop cause is different from the actual non-stop cause, review data is obtained based on the received non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration, and the review data is sent to the human-computer interaction terminal.

[0026] Specifically, the non-stop diagnosis module obtains the actual non-stop cause and actual maintenance duration based on the non-stop report uploaded by the non-stop enterprise terminal, and the decision support module identifies the non-stop report of the non-stop enterprise terminal. When there is a large difference between the non-stop cause and planned maintenance duration reported by the enterprise and the actual non-stop cause and actual maintenance duration obtained by the non-stop diagnosis module, a review can be conducted based on the review data displayed on the human-computer interaction terminal, and experts can be sent to the site for actual inspection during the review; when there is no difference or a small difference between the non-stop cause and actual maintenance duration reported by the enterprise and the actual non-stop cause and actual maintenance duration obtained by the non-stop diagnosis module, a decision recommendation is put forward; the system automatically identifies non-stop reports, improves the recognition speed and accuracy of non-stop events of thermal power units, and the response speed and processing efficiency of the power grid.

[0027] Furthermore, the non-stop diagnosis module is a vector machine, a neural network or a deep learning model.

[0028] Specifically, vector machines, neural networks or deep learning models can be trained to input non-stop data and output actual non-stop causes and actual maintenance duration corresponding to the non-stop data.

[0029] Furthermore, the preprocessing module processes the non-stop data, the reasons for the non-stop in the initial inspection and the planned maintenance duration in a method including: removing outliers, removing missing values, removing noise and normalizing.

[0030] Furthermore, decision recommendations include starting standby units and adjusting grid load distribution.

[0031] Specifically, the decision support module generates corresponding decision suggestions according to the actual non-stop reasons to solve the non-stop situation.

[0032] Furthermore, the non-stop enterprise terminal is wirelessly connected to the power grid dispatching terminal.

[0033] Furthermore, the training method of the non-stop diagnosis module includes:

[0034] Obtain historical non-stop data and the actual non-stop reasons and actual maintenance duration corresponding to the historical non-stop data;

[0035] The historical non-stop data are used as input parameters of the non-stop diagnosis module, and the actual non-stop causes and actual maintenance duration corresponding to the historical non-stop data are used as output parameters of the non-stop diagnosis module to train the non-stop diagnosis module.

[0036] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A non-stop diagnostic system for thermal power units, characterized in that: Including non-stop enterprise terminals, power grid dispatching terminals and human-computer interaction terminals; The non-stop enterprise terminal is used to generate a non-stop report according to the non-stop situation and send the non-stop report to the power grid dispatching terminal; The power grid dispatching terminal is used to generate supplementary information instructions, decision data or review data according to the received non-stop report, and send the supplementary information instructions to the non-stop enterprise terminal, and send the decision data or review data to the human-computer interaction terminal; The human-computer interaction terminal is used to display received decision data or review data.

2. A thermal power unit non-stop diagnostic system according to claim 1, characterized in that: The power grid dispatching terminal includes a communication module, a preprocessing module, a non-stop diagnosis module and a decision support module; The communication module is used to receive the non-stop report sent by the non-stop enterprise terminal, and send the non-stop report to the pre-processing module; the non-stop report includes non-stop data, initial inspection non-stop reasons and planned maintenance duration; The preprocessing module is used to compare the received non-stop data with the set standard non-stop data. If there is data missing in the non-stop data, a supplementary information instruction is generated and sent to the communication module; the communication module sends the supplementary information instruction to the non-stop enterprise terminal; if there is no data missing in the non-stop data information, the non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are processed; the processed non-stop data, the initial inspection non-stop reasons and the planned maintenance duration are input into the non-stop diagnosis module; The non-stop diagnosis module is used to obtain the actual non-stop cause and the actual maintenance duration according to the input processed non-stop data, and send the non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration to the decision support module; The decision support module is used to compare the input initial inspection non-stop cause and planned maintenance duration with the actual non-stop cause and actual maintenance duration respectively. If the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration does not reach the threshold, a decision suggestion is generated based on the initial inspection non-stop cause, and decision data is obtained based on the generated decision suggestion and the received non-stop data, and the decision data is sent to the human-computer interaction terminal; if the initial inspection non-stop cause is the same as the actual non-stop cause and the difference between the planned maintenance duration and the actual maintenance duration reaches the threshold, or the initial inspection non-stop cause is different from the actual non-stop cause, review data is obtained based on the received non-stop data, the initial inspection non-stop cause, the planned maintenance duration, the actual non-stop cause and the actual maintenance duration, and the review data is sent to the human-computer interaction terminal.

3. A thermal power unit non-stop diagnostic system according to claim 2, characterized in that: The non-stop diagnosis module is a vector machine, a neural network or a deep learning model.

4. A thermal power unit non-stop diagnostic system according to claim 1, characterized in that: The preprocessing module processes the non-stop data, the reasons for the non-stop during initial inspection and the planned maintenance duration by methods including: removing outliers, removing missing values, removing noise and normalizing.

5. A thermal power unit non-stop diagnostic system according to claim 1, characterized in that: Decision recommendations include starting standby units and adjusting grid load distribution.

6. A thermal power unit non-stop diagnostic system according to claim 1, characterized in that: The non-stop enterprise terminal is wirelessly connected to the power grid dispatching terminal.

7. A thermal power unit non-stop diagnostic system according to claim 2, characterized in that: The training method of the non-stop diagnosis module includes: Obtain historical non-stop data and the actual non-stop reasons and actual maintenance duration corresponding to the historical non-stop data; The historical non-stop data is used as the input parameter of the non-stop diagnosis module, and the actual non-stop causes and actual maintenance duration corresponding to the non-stop data are used as the output parameters of the non-stop diagnosis module to train the non-stop diagnosis module.

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