An automatic monitoring system based on artificial intelligence for centralized control operation of power plants

Abstract

The present invention discloses an automatic monitoring system for centralized control operation of a power plant based on artificial intelligence, which belongs to the technical field of centralized control operation of a power plant, and comprises: a data acquisition module, which acquires various physical parameters of equipment operation in real time through a variety of high-precision sensors arranged at key positions of the power plant, and converts these analog signals into digital signals for transmission to a data processing center; a data processing center, which is electrically connected to the data acquisition module and cleans the data, removes abnormal values ​​and noise interference, and evaluates the operating status of the equipment in real time through a pre-trained neural network model; the present invention effectively improves the intelligence level of power plant monitoring, reduces labor costs, and greatly improves the safety and reliability of power plant operation by accessing the automatic monitoring system for centralized control operation of a power plant with artificial intelligence, from the data acquisition module, the data processing center, the intelligent early warning module to the remote monitoring terminal.

Description

Technical Field

[0001] The present invention belongs to the technical field of centralized control operation of power plants, and in particular relates to an automatic monitoring system for centralized control operation of power plants based on artificial intelligence. Background Art

[0002] In the centralized control and operation process of power plants, traditional monitoring methods often rely on manual inspections and simple automated instrument monitoring. Manual inspections not only consume a lot of manpower, but are also prone to human negligence, resulting in failures to be discovered in a timely manner; conventional automated instrument monitoring functions are relatively single, making it difficult to conduct comprehensive, accurate, and real-time analysis and judgment of the complex and changeable power plant operating conditions. With the continuous expansion of power plant scale and the increasing operating requirements, an intelligent, efficient, and automatic monitoring system is urgently needed to ensure the stable and safe operation of power plants. Summary of the invention

[0003] The purpose of the present invention is to solve the above-mentioned problems and to propose an automatic monitoring system based on artificial intelligence for centralized control operation of power plants.

[0004] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an automatic monitoring system for centralized control operation of a power plant based on artificial intelligence, comprising:

[0005] The data acquisition module collects various physical parameters of equipment operation in real time through a variety of high-precision sensors arranged in key parts of the power plant, and converts these analog signals into digital signals and transmits them to the data processing center;

[0006] A data processing center is electrically connected to the data acquisition module and cleans the data to remove abnormal values ​​and noise interference, and uses a pre-trained neural network model to conduct real-time evaluation of the operating status of the equipment to determine whether the equipment is in a normal, warning or fault state;

[0007] An intelligent early warning module, which is connected to the data processing center and starts immediately after receiving an early warning or fault signal from the data processing center;

[0008] The remote monitoring terminal is connected to the data processing center to monitor the operation status of the power plant anytime and anywhere.

[0009] As a further description of the above technical solution:

[0010] A variety of high-precision sensors including temperature sensors, pressure sensors, flow sensors, and vibration sensors.

[0011] As a further description of the above technical solution:

[0012] The data processing center is equipped with a high-performance artificial intelligence processor and uses a deep learning algorithm to quickly analyze and process the collected data.

[0013] As a further description of the above technical solution:

[0014] The intelligent early warning module sends notifications to the on-duty personnel in the control room and related maintenance personnel in various ways such as sound and light alarms, SMS push, system pop-up windows, etc. according to the type of fault. The notification content includes detailed information such as the name of the faulty equipment, the fault location, and the severity of the fault.

[0015] As a further description of the above technical solution:

[0016] The remote monitoring terminal is a mobile phone APP or a computer terminal, and the remote monitoring terminal accesses the operating parameters, status and historical data curves of various equipment in the power plant.

[0017] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0018] In the present invention, by accessing the automatic monitoring system for centralized control and operation of power plants using artificial intelligence, from the data acquisition module, data processing center, intelligent early warning module to the remote monitoring terminal, the intelligence level of power plant monitoring is effectively improved, labor costs are reduced, and the safety and reliability of power plant operation are greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The block diagram of an artificial intelligence-based automatic monitoring system for centralized control operation of power plants. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, rather than all the embodiments. The components of the embodiment of the present invention described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiment of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents the selected embodiment of the present invention. 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. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the embodiments of the present invention, it should be noted that the terms "upper", "inside", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the invented product is usually placed when in use, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In the description of the present invention, it should also be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the internal connection of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] See also Figure 1 The present invention provides a technical solution: an automatic monitoring system for centralized control operation of a power plant based on artificial intelligence, comprising:

[0022] The data acquisition module collects various physical parameters of equipment operation in real time through a variety of high-precision sensors arranged in key parts of the power plant, and converts these analog signals into digital signals and transmits them to the data processing center;

[0023] A data processing center is electrically connected to the data acquisition module and cleans the data to remove abnormal values ​​and noise interference, and uses a pre-trained neural network model to conduct real-time evaluation of the operating status of the equipment to determine whether the equipment is in a normal, warning or fault state;

[0024] An intelligent early warning module, which is connected to the data processing center and starts immediately after receiving an early warning or fault signal from the data processing center;

[0025] A remote monitoring terminal, which is connected to the data processing center and can monitor the operation status of the power plant anytime and anywhere;

[0026] A variety of high-precision sensors including temperature sensors, pressure sensors, flow sensors, and vibration sensors;

[0027] The data processing center is equipped with a high-performance artificial intelligence processor, which uses deep learning algorithms to quickly analyze and process the collected data;

[0028] The intelligent early warning module sends notifications to the on-duty personnel in the control room and related maintenance personnel in various ways such as sound and light alarms, SMS push, system pop-up windows, etc. according to the fault type. The notification content includes detailed information such as the name of the faulty equipment, the fault location, and the fault severity;

[0029] The remote monitoring terminal is a mobile phone APP or a computer terminal, and the remote monitoring terminal accesses the operating parameters, status and historical data curves of various equipment in the power plant.

[0030] Working principle: During the system installation phase, the installation location of the sensor is reasonably planned according to the layout of the power plant equipment to ensure the comprehensiveness and representativeness of the collected data. After the installation is completed, the data acquisition module is calibrated and debugged to ensure the measurement accuracy of the sensor. At the same time, a large amount of historical operation data is imported into the data processing center, and the neural network model is trained and optimized to enable it to accurately identify the normal and abnormal operation modes of various types of equipment. In daily operation, the data acquisition module continuously collects data, and the data processing center analyzes it uninterruptedly. Once the intelligent early warning module triggers an alarm, the on-duty personnel and maintenance personnel respond quickly. The maintenance personnel quickly locate the fault point and carry out repairs based on the detailed information provided by the remote monitoring terminal. The management personnel track the repair progress in real time through the remote terminal to ensure that the power plant quickly resumes normal operation.

[0031] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An automatic monitoring system for centralized control operation of a power plant based on artificial intelligence, characterized in that: include: The data acquisition module collects various physical parameters of equipment operation in real time through a variety of high-precision sensors arranged in key parts of the power plant, and converts these analog signals into digital signals and transmits them to the data processing center; A data processing center is electrically connected to the data acquisition module and cleans the data to remove abnormal values ​​and noise interference, and uses a pre-trained neural network model to conduct real-time evaluation of the operating status of the equipment to determine whether the equipment is in a normal, warning or fault state; An intelligent early warning module, which is connected to the data processing center and starts immediately after receiving an early warning or fault signal from the data processing center; The remote monitoring terminal is connected to the data processing center to monitor the operation status of the power plant anytime and anywhere.

2. According to claim 1, an automatic monitoring system for centralized control operation of a power plant based on artificial intelligence is characterized in that: A variety of high-precision sensors including temperature sensors, pressure sensors, flow sensors, and vibration sensors.

3. The automatic monitoring system for centralized control operation of a power plant based on artificial intelligence according to claim 1 is characterized in that: The data processing center is equipped with a high-performance artificial intelligence processor and uses a deep learning algorithm to quickly analyze and process the collected data.

4. The automatic monitoring system for centralized control operation of a power plant based on artificial intelligence according to claim 1 is characterized in that: The intelligent early warning module sends notifications to the on-duty personnel in the control room and related maintenance personnel in various ways such as sound and light alarms, SMS push, system pop-up windows, etc. according to the type of fault. The notification content includes detailed information such as the name of the faulty equipment, the fault location, and the severity of the fault.

5. The automatic monitoring system for centralized control operation of a power plant based on artificial intelligence according to claim 1 is characterized in that: The remote monitoring terminal is a mobile phone APP or a computer terminal, and the remote monitoring terminal accesses the operating parameters, status and historical data curves of various equipment in the power plant.

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