Power plant panoramic data management method and system based on Internet of Things technology

Abstract

The invention discloses a power plant panoramic data management method and system based on the Internet of Things technology, and relates to the field of power plant panoramic monitoring, and the method comprises the steps: obtaining equipment archive information, and building an equipment basic information database; the method comprises the following steps: acquiring equipment data, preprocessing, and performing three-dimensional visualization on the equipment data; and detecting the state and maintenance requirements of the equipment. According to the power plant panoramic data management method based on the Internet of Things technology provided by the invention, through color identification and real-time monitoring, rapid identification of equipment states and timely response of maintenance requirements are realized, and the reliability of equipment operation and the maintenance efficiency are improved. Through denoising and data completion, the integrity and accuracy of the data are ensured, a smooth data basis is provided for three-dimensional visualization, a data change curve is formed, the timeliness of the data is enhanced, and small-range data trend prediction is realized. The method has better effects in the aspects of timeliness and accuracy.

Description

Technical Field

[0001] The present invention relates to the field of panoramic monitoring of power plants, and in particular to a method and system for managing panoramic data of power plants based on Internet of Things technology. Background Art

[0002] With the rapid development of industrial automation and information technology, the operation and maintenance of power plants are gradually shifting towards intelligence and digitalization. As an important driving force for innovation, Internet of Things (IoT) technology is widely used in the field of industrial monitoring and management. Through sensor networks and data acquisition systems, it monitors equipment status in real time and improves management efficiency. In recent years, power plants have gradually adopted IoT technology to achieve panoramic data management, including equipment status monitoring, operating parameter collection, and maintenance record management. Traditional power plant management mainly relies on manual inspections and regular maintenance, which is not only time-consuming and labor-intensive, but also difficult to grasp the operating status and potential failures of equipment in real time. With the development of big data analysis, cloud computing, and three-dimensional visualization technology, the panoramic data management method of power plants based on IoT has gradually become a research hotspot, aiming to achieve full life cycle management and fault prediction of equipment through real-time data collection and intelligent analysis.

[0003] Although the Internet of Things technology has been applied to power plant management to a certain extent, there are still many shortcomings in the existing technology. First, the traditional Internet of Things system mainly focuses on data collection and transmission, lacks effective data preprocessing and analysis methods, resulting in low data quality and difficulty in meeting actual application needs. Secondly, the existing power plant management system mostly adopts a two-dimensional graphical interface, the information display is not intuitive enough, it is difficult to fully reflect the operating status and historical data of the equipment, and limits the decision-making efficiency of managers. Furthermore, the current fault diagnosis and prediction methods are relatively simple, usually relying on simple threshold judgment or basic statistical analysis, and cannot make full use of complex data features for accurate prediction. In addition, the technical integration of the existing system in data fusion and three-dimensional visualization is not high, and it is difficult to achieve efficient fusion and intuitive display of multi-dimensional data. In contrast, the present invention proposes a panoramic data management method for a power plant based on the Internet of Things technology. By introducing advanced data preprocessing algorithms, three-dimensional visualization technology and intelligent analysis models, it can not only improve the data quality and the intuitiveness of information display, but also realize real-time monitoring of equipment status and fault prediction, thereby significantly improving the intelligent level of power plant management. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: the existing Internet of Things power plant data management method has the problems of low real-time performance, low data processing efficiency, and how to efficiently pre-process and realize visual display.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for panoramic data management of power plants based on Internet of Things technology, including obtaining equipment file information and establishing an equipment basic information database.

[0007] Collect equipment data, perform preprocessing, and realize three-dimensional visualization of equipment data.

[0008] Detect equipment status and maintenance needs.

[0009] As a preferred solution of the power plant panoramic data management method based on Internet of Things technology described in the present invention, wherein: the acquisition of equipment file information and establishment of equipment basic information database includes collecting basic information of the equipment, including equipment specifications, models, installation location in the electric field, and manufacturer information.

[0010] Record the equipment's maintenance records, inspection records and servicing records, including the date, content and results of each maintenance.

[0011] The collected data is stored in a database and labeled.

[0012] As a preferred solution of the power plant panoramic data management method based on Internet of Things technology described in the present invention, the data collection of equipment includes using Internet of Things technology to collect equipment operation data in real time through sensors, including temperature, pressure, vibration, sound, and image.

[0013] The collected vibration and sound data are denoised and the data is completed using the interpolation method based on the logistic function, which is expressed as:

[0014]

[0015] Among them, D raw (t) represents the raw sensor data collected at time t, μ noise represents the noise mean, e -αt represents the exponential decay factor, α is the decay coefficient, D missing,i represents the i-th missing data point, β and γ: are interpolation parameters that control the smoothness and position offset of the filled data.

[0016] As a preferred solution of the power plant panoramic data management method based on the Internet of Things technology described in the present invention, the three-dimensional visualization of the equipment data includes time synchronization processing of the processed vibration and sound data excluding the difference data and the temperature, pressure and image data, which is expressed as:

[0017]

[0018] Among them, D synced(t) is the data after time synchronization, α is the time attenuation coefficient, D k For the collected data.

[0019] As a preferred solution of the power plant panoramic data management method based on the Internet of Things technology described in the present invention, the three-dimensional visualization of the equipment data also includes performing difference processing again, supplementing and smoothing the temperature and pressure data, and performing time synchronization processing on the interpolation data, which is expressed as:

[0020]

[0021] Among them, D interpolated (t) is the interpolated data, D synced,k is the kth data point, β and γ are interpolation parameters, N is the number of data points, and three-dimensional spatial imaging is performed after the data is processed.

[0022] As a preferred solution of the power plant panoramic data management method based on the Internet of Things technology described in the present invention, the three-dimensional space imaging includes inputting the pre-processed data into the three-dimensional graphics library OpenGL, modulating the depth, angular frequency and phase to control the display effect of the data in the three-dimensional space, rendering the generated three-dimensional model, and displaying the real-time status of the equipment, which is expressed as:

[0023]

[0024] Among them, δ is the modulation depth, ω is the angular frequency, and φ is the phase.

[0025] As a preferred solution of the power plant panoramic data management method based on Internet of Things technology described in the present invention, wherein: the status and maintenance requirements of the detection equipment include setting the color of the three-dimensional model, the color is green under normal conditions and red under fault conditions, and statistical analysis is performed on the collected data. Based on the expert evaluation method, the average, maximum and minimum indicators are obtained. When the data is not within the indicator range or deviates from the average value for more than half of the time under operating conditions, it is marked as yellow. When the model displays red, it is regarded as the equipment waiting for maintenance, and the basic information of the equipment and the maintenance record of the equipment are called up and displayed next to the equipment, and the equipment is shut down for maintenance. When the model displays yellow, it is regarded as the equipment is in maintenance period, a maintenance signal is issued, and the basic information of the equipment is called up and displayed next to the three-dimensional model.

[0026] Another object of the present invention is to provide a power plant panoramic data management system based on the Internet of Things technology, which can realize rapid identification of equipment status and timely response to maintenance needs through color identification and real-time monitoring, thereby improving the reliability of equipment operation and maintenance efficiency. This solves the problem that the current Internet of Things power plant data management technology has poor timeliness and monitoring delays.

[0027] As a preferred solution of the power plant panoramic data management system based on the Internet of Things technology described in the present invention, it includes: a data processing module, a three-dimensional visualization module, and a monitoring module. The data processing module is used to obtain equipment archive information and establish an equipment basic information database. The three-dimensional visualization module is used to collect equipment data, perform preprocessing, and realize three-dimensional visualization of the equipment data. The monitoring module is used to predict the future status and maintenance needs of the equipment.

[0028] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a method for managing power plant panoramic data based on the Internet of Things technology.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a power plant panoramic data management method based on the Internet of Things technology.

[0030] Beneficial effects of the present invention: The power plant panoramic data management method based on the Internet of Things technology provided by the present invention realizes rapid identification of equipment status and timely response to maintenance needs through color identification and real-time monitoring, thereby improving the reliability of equipment operation and maintenance efficiency. Through denoising and data completion, the integrity and accuracy of the data are ensured, a smooth data foundation is provided for three-dimensional visualization, a data change curve is formed, the timeliness of the data is enhanced, and a small-scale data trend prediction is realized. The present invention achieves better results in terms of timeliness and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0032] Figure 1 An overall flow chart of a power plant panoramic data management method based on Internet of Things technology provided in the first embodiment of the present invention.

[0033] Figure 2 A schematic diagram of modules of a power plant panoramic data management system based on Internet of Things technology provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0035] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a power plant panoramic data management method based on Internet of Things technology, including:

[0036] S1: Obtain equipment file information and establish equipment basic information database.

[0037] Furthermore, obtaining equipment archival information and establishing an equipment basic information database involves collecting basic information about the equipment, including equipment specifications, models, installation locations in the electric field, and manufacturer information.

[0038] Record the equipment's maintenance records, inspection records and servicing records, including the date, content and results of each maintenance.

[0039] The collected data is stored in a database and labeled.

[0040] It should be noted that collecting equipment data includes using Internet of Things technology to collect equipment operation data in real time through sensors, including temperature, pressure, vibration, sound, and images.

[0041] Temperature and pressure are intermittently collected data. Although they are affected by weather factors, such influences can be easily removed based on meteorological data. Therefore, no noise reduction processing is required and only synchronization with the image is required.

[0042] Vibration and sound are also intermittently collected data. However, unlike temperature and pressure, these two types of data are easily affected. For example, the falling of objects or the voices of maintenance personnel can cause inaccurate data. Therefore, noise reduction processing is required and some data needs to be eliminated. Therefore, data supplementation is required first.

[0043] Image data is continuously acquired through the camera, so there is basically no need for excessive processing.

[0044] The collected vibration and sound data are denoised and the data is completed using the interpolation method based on the logistic function, which is expressed as:

[0045]

[0046] Among them, D raw(t) represents the raw sensor data collected at time t, μ noise represents the noise mean, e -αt represents the exponential decay factor, α is the decay coefficient, D missing,i represents the i-th missing data point, β and γ: are interpolation parameters that control the smoothness and position offset of the filled data.

[0047] S2: Collect equipment data, perform preprocessing, and implement three-dimensional visualization of the equipment data.

[0048] Furthermore, the three-dimensional visualization of the equipment data includes time synchronization of the processed vibration and sound data excluding the difference data and the temperature, pressure and image data, which is expressed as:

[0049]

[0050] Among them, D synced (t) is the data after time synchronization, α is the time attenuation coefficient, D k For the collected data.

[0051] It should be noted that the three-dimensional visualization of equipment data also includes performing difference processing again, supplementing and smoothing the temperature and pressure data, and performing time synchronization processing on the interpolated data, which can be expressed as:

[0052]

[0053] Among them, D interpolated (t) is the interpolated data, D synced,k is the kth data point, β and γ are interpolation parameters, N is the number of data points, and three-dimensional spatial imaging is performed after the data is processed.

[0054] It should also be noted that three-dimensional spatial imaging includes inputting the pre-processed data into the three-dimensional graphics library OpenGL, controlling the display effect of the data in three-dimensional space by modulating the depth, angular frequency and phase, rendering the generated three-dimensional model, and displaying the real-time status of the device, which is expressed as:

[0055]

[0056] Among them, δ is the modulation depth, ω is the angular frequency, and φ is the phase. The equipment data after denoising and interpolation processing is input into OpenGL. By inputting high-quality pre-processed data, the accuracy and reliability of the three-dimensional model are ensured. High-quality data input can significantly improve the display effect of three-dimensional images, reduce errors and noise interference, and make the real-time status display of power plant equipment clearer and more accurate, which is convenient for monitoring and decision-making. The modulation depth is used to adjust the contrast and detail display of the image, and the angular frequency and phase are used to control the time axis changes of the data, making the dynamic data display smoother and continuous. It enables managers to observe changes in equipment status in real time, discover and deal with potential problems in a timely manner,

[0057] S3: Check the status and maintenance requirements of the equipment.

[0058] Furthermore, the status and maintenance requirements of the detection equipment include setting the color of the three-dimensional model, which is green under normal conditions and red under fault conditions. The collected data is statistically analyzed and the average, maximum and minimum indicators are obtained based on the expert evaluation method. When the data is not within the indicator range or deviates from the average value for more than half of the time under operating conditions, it is marked as yellow. When the model shows red, it is considered that the equipment is in a state of waiting for maintenance, and the basic information of the equipment and the maintenance record of the equipment are called up and displayed next to the equipment, and the equipment is shut down for maintenance. When the model shows yellow, it is considered that the equipment is in maintenance period, a maintenance signal is issued, and the basic information of the equipment is called up and displayed next to the three-dimensional model.

[0059] Example 2, an embodiment of the present invention, provides a power plant panoramic data management method based on Internet of Things technology. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0060] First, the experimental objects are two key equipment A and B in a power plant, and data management and monitoring are performed respectively by traditional technology and the method of the present invention. The equipment archive information is obtained, the basic equipment information database is established, the equipment data is collected, and pre-processed. The Internet of Things technology is used to collect the operation data of the equipment in real time through sensors, including temperature, pressure, vibration, sound and image data. In order to maintain the fairness of the experimental company, the existing technology also uses the same processed data. The processed data is stored in the database for further analysis and visualization.

[0061] Realize 3D visualization of equipment data.

[0062] Table 1 Experimental data comparison table

[0063]

[0064] First, from the temperature and pressure data, the data of device A and device B using the method of the present invention during operation are more stable, with a smaller fluctuation range, showing a better control effect. This is because the present invention ensures the accuracy and timeliness of the data through real-time data collection and preprocessing, which helps to better control the operating status of the equipment, plays a certain role in preprocessing, and significantly improves the service life of the equipment.

[0065] Furthermore, from the comparison data of image clarity, the present invention significantly improves the quality of image data. The image clarity of traditional technology is low, and it is difficult to provide detailed equipment status images. However, the present invention uses three-dimensional visualization technology to achieve higher resolution image display, allowing managers to observe the operating status and details of the equipment more clearly.

[0066] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides a power plant panoramic data management system based on Internet of Things technology, including a data processing module, a three-dimensional visualization module, and a monitoring module.

[0067] The data processing module is used to obtain equipment archive information and establish a basic equipment information database. The 3D visualization module is used to collect equipment data, perform preprocessing, and implement 3D visualization of equipment data. The monitoring module is used to predict the future status and maintenance needs of the equipment.

[0068] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0070] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for managing panoramic data of a power plant based on Internet of Things technology, characterized in that: include: Obtain equipment file information and establish equipment basic information database; Collect equipment data, perform preprocessing, and realize 3D visualization of equipment data; Detect equipment status and maintenance needs.

2. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 1, characterized in that: The obtaining of equipment archive information and establishing an equipment basic information database includes collecting basic information of the equipment, including equipment specifications, models, installation locations in the electric field, and manufacturer information; Record the equipment maintenance, inspection and repair records, including the date, content and results of each maintenance; The collected data is stored in a database and labeled.

3. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 2, characterized in that: The collecting of equipment data includes using the Internet of Things technology to collect equipment operation data in real time through sensors, including temperature, pressure, vibration, sound, and images; The collected vibration and sound data are denoised and the data is completed using the interpolation method based on the logistic function, which is expressed as: Among them, D raw (t) represents the raw sensor data collected at time t, μ noise represents the noise mean, e -αt represents the exponential decay factor, α is the decay coefficient, D missing,i represents the i-th missing data point, β and γ: are interpolation parameters that control the smoothness and position offset of the filled data.

4. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 3, characterized in that: The three-dimensional visualization of the device data includes processing the vibration and sound data data.

5. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 4, characterized in that: The three-dimensional visualization of the equipment data also includes performing difference processing again, supplementing and smoothing the temperature and pressure data, and performing time synchronization processing on the interpolated data, which is expressed as: Among them, D interpolated (t) is the interpolated data, D synced,k is the kth data point, β and γ are interpolation parameters, N is the number of data points, and three-dimensional spatial imaging is performed after the data is processed.

6. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 5, characterized in that: The three-dimensional space imaging includes inputting the pre-processed data into the three-dimensional graphics library OpenGL, controlling the display effect of the data in the three-dimensional space by modulating the depth, angular frequency and phase, rendering the generated three-dimensional model, and displaying the real-time status of the device, which is expressed as: Among them, δ is the modulation depth, ω is the angular frequency, and φ is the phase.

7. The method for managing panoramic data of a power plant based on the Internet of Things technology according to claim 6, characterized in that: The detection equipment status and maintenance requirements include setting the color of the three-dimensional model, which is green under normal conditions and red under fault conditions. The collected data is statistically analyzed and the average, maximum and minimum indicators are obtained based on the expert evaluation method. When the data is not within the indicator range or deviates from the average value for more than half of the time under operating conditions, it is marked as yellow. When the model displays red, it is considered that the equipment is in a state of waiting for maintenance, and the basic information of the equipment and the maintenance record of the equipment are called up and displayed next to the equipment, and the equipment is shut down for maintenance. When the model displays yellow, it is considered that the equipment is in maintenance period, a maintenance signal is issued, and the basic information of the equipment is called up and displayed next to the three-dimensional model.

8. A system using the power plant panoramic data management method based on the Internet of Things technology as claimed in any one of claims 1 to 7, characterized in that: Including data processing module, 3D visualization module and monitoring module; The data processing module is used to obtain equipment file information and establish an equipment basic information database; The three-dimensional visualization module is used to collect device data, perform preprocessing, and implement three-dimensional visualization of the device data; The monitoring module is used to predict the future status and maintenance needs of the equipment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the power plant panoramic data management method based on the Internet of Things technology described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power plant panoramic data management method based on the Internet of Things technology described in any one of claims 1 to 7 are implemented.

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