Electrical equipment operation state monitoring method

Abstract

The invention relates to a method for monitoring the running state of electrical equipment. The method comprises the following steps: establishing and setting a data communication transmission network; operating state data of electrical equipment of each system is collected in a subsystem manner according to the field condition; preprocessing data of different systems respectively; performing centralized management and control on the preprocessed data; constructing an electrical equipment operation state monitoring model; outputting monitored historical data, real-time data and alarm information in real time through the model; the problems that the operation state of the electrical equipment cannot be effectively monitored and early warning cannot be performed in time at the initial stage of equipment failure are solved, the operation states of all the electrical equipment are intelligently monitored in an omnibearing manner, abnormal conditions are quickly forecasted, and safe and stable operation of all the equipment is guaranteed to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the field of automatic control technology, and in particular to a method for monitoring the operating status of electrical equipment. Background Art

[0002] Steel rolling mills have a wide variety of electrical equipment. Some of the equipment are old, have low configurations, work in special environments, and are installed in scattered locations. They do not have functions such as real-time data collection, system self-diagnosis, and tracking alarms. They cannot issue alarms in time at the early stages of equipment failures, causing small problems to evolve into major failures, which has a serious impact on the company's production stability.

[0003] Existing technical means and related literature cannot fully meet the complex actual conditions of all application sites. More complete methods and measures are needed to comprehensively and intelligently solve the problem of electrical equipment operating status monitoring. Summary of the Invention

[0004] The present invention provides a method for monitoring the operating status of electrical equipment, which solves the problem that the operating status of electrical equipment cannot be effectively monitored and timely warning cannot be given at the early stage of equipment failure. It realizes all-round intelligent monitoring of the operating status of all electrical equipment, quickly predicts abnormal situations, and ensures the safe and stable operation of all equipment to the greatest extent.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method for monitoring the operating status of electrical equipment comprises the following steps:

[0007] S1. Build and set up data communication transmission network;

[0008] S2. Collect the operating status data of the electrical equipment of each system in a systematic manner according to the on-site situation;

[0009] S3. Preprocess the data from different systems separately;

[0010] S4. Centrally manage and control the pre-processed data;

[0011] S5. Construct an electrical equipment operation status monitoring model;

[0012] S6. Output the monitored historical data, real-time data and alarm information in real time through the model.

[0013] Furthermore, the step S1 includes the following steps:

[0014] S1.1, Infrastructure construction: Add network communication equipment to different systems on site;

[0015] S1.2. Network topology construction: Determine the connection relationship of the added network communication devices according to their priorities, thereby building the overall network topology;

[0016] S1.3. Determine the data transmission medium and protocol: Unify the added network communication equipment and network topology structures at all levels into media and protocols that are compatible with each other and have maximum throughput.

[0017] Furthermore, the electrical equipment operating status data includes real-time operating status data of the equipment, basic information of the equipment, time of equipment startup and shutdown, time of equipment operation and idling, alarm time, alarm content, process parameters and environmental monitoring data.

[0018] Furthermore, the pre-processing of data from different systems includes the following steps:

[0019] S3.1. Clean the operating status data of electrical equipment in each system, remove abnormal data, remove duplicate data, correct erroneous data, and delete outliers.

[0020] S3.2, perform data integration;

[0021] S3.3, smoothing and clustering the integrated data by Bezier curve fitting;

[0022] S3.4. Perform data reduction.

[0023] Furthermore, the step S5 specifically includes:

[0024] S5.1. Set each subsystem on site as a submodule, and connect the submodules according to the topology required by the equipment.

[0025] S5.2. Using the processed data as input parameters to train a decision tree, generating a maximum binary tree describing the training sample set;

[0026] S5.3. Optimize the maximum binary tree using the CCP pruning method to obtain the electrical equipment operating status monitoring model.

[0027] Furthermore, it also includes displaying the operating status data output by the electrical equipment operating status monitoring model on the centralized control terminal and the mobile terminal.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1) Collecting data from various systems on site and building a topological structure solves the problem of being unable to collect and sample the operating status of existing electrical equipment with low configuration and scattered locations;

[0030] 2) The communication compatibility and unified monitoring issues of all electrical equipment were solved by building and setting up a data communication transmission network;

[0031] 3) By establishing a model, all-round intelligent monitoring of the operating status of all electrical equipment is achieved, abnormal situations are quickly predicted, and the stability of equipment operation is ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0033] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0034] See Figure 1 , is a flow chart of the present invention. The present invention provides an electrical equipment operating status monitoring method, comprising the following steps:

[0035] S1. Build and set up data communication transmission network:

[0036] S1.1, Infrastructure construction: Add network communication equipment to different systems on site;

[0037] S1.2. Network topology construction: Determine the connection relationship of the added network communication devices according to their priorities, thereby building the overall network topology;

[0038] S1.3. Determine the data transmission medium and protocol: Unify the added network communication equipment and network topology structures at all levels into media and protocols that are compatible with each other and have maximum throughput.

[0039] S2. Collect the operating status data of the electrical equipment of each system in a systematic manner according to the on-site situation, including real-time operating status data of the equipment, equipment startup and shutdown time, equipment basic information, equipment operation and idling time, alarm time, alarm content, process parameters and environmental monitoring data;

[0040] The real-time operating status data of the equipment includes real-time data such as temperature, pressure, speed, load, current, etc. of the equipment, which is used to determine whether the equipment is operating normally;

[0041] The basic information of the equipment includes the equipment model, manufacturer, date of manufacture, service life, maintenance records and other basic information, which provides necessary reference for equipment management;

[0042] The environmental monitoring data includes ambient temperature, weather, gas emissions and air pollution concentration, etc.

[0043] S3. Preprocess the data from different systems separately;

[0044] S3.1. Clean the operating status data of electrical equipment in each system, remove abnormal data, remove duplicate data, correct erroneous data, and delete outliers.

[0045] S3.2. Perform data integration, combine and store the cleaned data in a unified manner, and establish a database;

[0046] S3.3. Perform smooth aggregation using Bezier curve fitting. Generate corresponding curves using the Bezier curve for data with different parameters. Find the control point corresponding to the highest point of the two intersecting curves. The Bezier curve is tangent to the line connecting this point and its control point to obtain a smooth curve.

[0047] S3.4. Perform data reduction.

[0048] S4. Centrally manage and control the pre-processed data.

[0049] S5. Construct an electrical equipment operation status monitoring model;

[0050] S5.1. Set each subsystem on site as a submodule, and connect the submodules according to the topology required by the equipment.

[0051] S5.2. Use the processed data as input parameters to train a decision tree to generate a maximum binary tree describing the training sample set. Calculate the class center covariance matrix of each intermediate node in the binary decision tree and its transformation relationship with the covariance matrix of each corresponding leaf node.

[0052] S5.3. Determine the pruning parameters through cross-validation method and Bayesian method, optimize the maximum binary tree through CCP pruning method, and obtain the electrical equipment operation status monitoring model.

[0053] S6. The model outputs the monitored historical data, real-time data and alarm information in real time, and displays the alarm information in real time on the centralized control terminal and mobile terminal. The historical data, real-time data and their curves can be retrieved from the centralized control terminal and mobile terminal in real time, and the operating status of all electrical equipment can be displayed in real time by subsystem and segment.

[0054] The above embodiments are implemented under the premise of the technical solution of the present invention, and detailed implementation methods and specific operation processes are given, but the protection scope of the present invention is not limited to the above embodiments. The methods used in the above embodiments are conventional methods unless otherwise specified.

Claims

1. A method for monitoring the operating status of electrical equipment, characterized in that: The steps include: S1. Build and set up data communication transmission network; S2. Collect the operating status data of the electrical equipment of each system in a systematic manner according to the on-site situation; S3. Preprocess the data from different systems separately; S4. Centrally manage and control the pre-processed data; S5. Construct an electrical equipment operation status monitoring model; S6. Output the monitored historical data, real-time data and alarm information in real time through the model.

2. The method for monitoring the operating status of electrical equipment according to claim 1, wherein: The step S1 includes the following steps: S1.1, Infrastructure construction: Add network communication equipment to different systems on site; S1.

2. Network topology construction: Determine the connection relationship of the added network communication devices according to their priorities, thereby building the overall network topology; S1.

3. Determine the data transmission medium and protocol: Unify the added network communication equipment and network topology structures at all levels into media and protocols that are compatible with each other and have maximum throughput.

3. The method for monitoring the operating status of electrical equipment according to claim 1, wherein: The electrical equipment operating status data includes real-time operating status data of the equipment, basic information of the equipment, time of equipment startup and shutdown, equipment operation and idling time, alarm time, alarm content, process parameters and environmental monitoring data.

4. The method for monitoring the operating status of electrical equipment according to claim 1, wherein: The pre-processing of data from different systems comprises the following steps: S3.

1. Clean the operating status data of electrical equipment in each system, remove abnormal data, remove duplicate data, correct erroneous data, and delete outliers. S3.2, perform data integration; S3.3, smoothing and clustering the integrated data by Bezier curve fitting; S3.

4. Perform data reduction.

5. The method for monitoring the operating status of electrical equipment according to claim 1, wherein: The step S5 specifically includes: S5.

1. Set each subsystem on site as a submodule, and connect the submodules according to the topology required by the equipment. S5.

2. Using the processed data as input parameters to train a decision tree, generating a maximum binary tree describing the training sample set; S5.

3. Optimize the maximum binary tree using the CCP pruning method to obtain the electrical equipment operating status monitoring model.

6. The method for monitoring the operating status of electrical equipment according to claim 1, wherein: It also includes displaying the operating status data output by the electrical equipment operating status monitoring model on the centralized control terminal and mobile terminal.

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