CN114204677A - Remote monitoring method and system for power generation equipment - Google Patents

Remote monitoring method and system for power generation equipment Download PDF

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Publication number
CN114204677A
CN114204677A CN202111432785.6A CN202111432785A CN114204677A CN 114204677 A CN114204677 A CN 114204677A CN 202111432785 A CN202111432785 A CN 202111432785A CN 114204677 A CN114204677 A CN 114204677A
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China
Prior art keywords
data
protocol
power generation
monitoring
generation equipment
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CN202111432785.6A
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Chinese (zh)
Inventor
王思远
谢岳生
胡振华
万震天
郝宁
朱志劼
杨梦琪
田书耘
王建业
杨志鹏
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Shanghai Shuquan Software Co ltd
Shanghai Power Equipment Research Institute Co Ltd
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Shanghai Shuquan Software Co ltd
Shanghai Power Equipment Research Institute Co Ltd
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Priority to CN202111432785.6A priority Critical patent/CN114204677A/en
Publication of CN114204677A publication Critical patent/CN114204677A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00022Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
    • H02J13/00026Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission involving a local wireless network, e.g. Wi-Fi, ZigBee or Bluetooth
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/08Protocols for interworking; Protocol conversion
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/126Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Power Engineering (AREA)
  • Computer Security & Cryptography (AREA)
  • Signal Processing (AREA)
  • Selective Calling Equipment (AREA)

Abstract

The invention discloses a remote monitoring method and a remote monitoring system for power generation equipment. The method comprises the following steps: acquiring operation data of the power generation equipment through a data acquisition and processing module, and preprocessing the operation data; converting the preprocessed operation data into first protocol data through a field protocol converter; sending the first protocol data to a background protocol converter through a transmission module based on a preset frequency through a 5G transmission network; converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring diagnosis center; and analyzing the second protocol data through the monitoring diagnosis center, and monitoring the power generation equipment according to the analysis result. Through the technical scheme of the invention, the remote monitoring of the power generation equipment can be realized based on the 5G technology, the safety of the transmission of important test data of the power generation equipment is ensured, the space or region limitation is broken through, the data acquisition point is allowed to be expanded, and the upgrading requirement of a modern intelligent power plant is met.

Description

Remote monitoring method and system for power generation equipment
Technical Field
The embodiment of the invention relates to the technical field of power generation, in particular to a remote monitoring method and system for power generation equipment.
Background
The power generation equipment is used as an energy conversion device which is widely applied to the field of power generation, relates to various equipment and devices such as power station boilers, steam turbines, gas turbines, water turbines, generators, wind power generation equipment, photovoltaic power generation equipment and the like, and has very important significance for production and life in stable and economic operation.
In order to improve the stability and reliability of the power generation equipment in the operation process and reduce the accident frequency, the operation monitoring, early warning and fault diagnosis of the power generation equipment need to be enhanced. In an actual production process, the power generation equipment data signal is generally transmitted to a remote monitoring center in a wired communication transmission manner. The safety and the confidentiality of the conventional wired communication mode have hidden dangers and are easily limited by space or regions.
Disclosure of Invention
The embodiment of the invention provides a remote monitoring method and a remote monitoring system for power generation equipment, which can ensure the transmission safety of important test data of the power generation equipment, break through the space or region limitation, allow the expansion of data acquisition points and meet the upgrading requirement of a modern intelligent power plant.
In a first aspect, an embodiment of the present invention provides a method for remotely monitoring power generation equipment, including:
acquiring operation data of the power generation equipment through a data acquisition and processing module, and preprocessing the operation data;
converting the preprocessed operation data into first protocol data through a field protocol converter, wherein the first protocol data is data of a 5G communication transmission protocol;
sending the first protocol data to a background protocol converter through a transmission module based on a preset frequency through a 5G transmission network;
converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring and diagnosing center, wherein the second protocol data is data adapted to the monitoring and diagnosing center;
and analyzing the second protocol data through a monitoring diagnosis center, and monitoring the power generation equipment according to an analysis result.
Further, the preprocessing the operation data includes:
grouping the operating data by adopting a mean clustering grouping algorithm;
data grooming the packet data, the data grooming comprising at least one of: null interpolation, redundant data removal and data filtering.
Further, before converting the preprocessed operation data into the first protocol data, the field protocol converter further includes:
acquiring the data type of each preprocessed operation data;
setting a global shared buffer area for storing a read-write control mark;
storing each preprocessed running data in a data buffer area of a corresponding data type respectively based on a write control mark, wherein the write control mark is triggered when receiving the preprocessed running data is detected;
correspondingly, converting the preprocessed operating data into the first protocol data through the field protocol converter includes:
read the control mark through the field protocol converter follow based on reading the operating data after the preliminary treatment in the data buffer, and will the operating data after the preliminary treatment turns into first protocol data, read the control mark by the corresponding frequency setting of presetting of data type of the operating data after the preliminary treatment.
Further, the setting of the read control flag by a preset frequency corresponding to the data type of the preprocessed operating data includes:
if the preprocessed operation data are normal operation data, setting a reading control mark by adopting a first preset frequency;
and if the preprocessed operation data is emergency alarm data, setting a reading control mark by adopting a second preset frequency, wherein the first preset frequency is less than the second preset frequency.
Further, analyzing the second protocol data by a monitoring and diagnosing center, and monitoring the power generation equipment according to the analysis result, including:
performing performance analysis on the second protocol data to determine a fault diagnosis result;
performing data prediction on the second protocol data to determine a prediction result;
monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result.
Further, monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result includes:
and generating a control instruction based on the fault diagnosis result and/or the prediction result through a monitoring diagnosis center, and feeding the control instruction back to the power generation equipment so that the power generation equipment executes corresponding operation based on the control instruction.
In a second aspect, an embodiment of the present invention further provides a remote monitoring system for power generation equipment, where the system includes: the system comprises power generation equipment, a data acquisition and processing module, a field protocol converter, a transmission module, a background protocol converter and a monitoring and diagnosis center;
the data acquisition and processing module is used for acquiring the operation data of the power generation equipment and preprocessing the operation data;
the field protocol converter is used for converting the preprocessed operation data into first protocol data, and the first protocol data is data of a 5G communication transmission protocol;
the transmission module is used for transmitting the first protocol data to a background protocol converter through a 5G transmission network based on preset frequency;
the background protocol converter is used for converting the first protocol data into second protocol data and sending the second protocol data to the monitoring and diagnosing center, wherein the second protocol data is data adaptive to the monitoring and diagnosing center;
and the monitoring diagnosis center is used for analyzing the second protocol data and monitoring the power generation equipment according to the analysis result.
The embodiment of the invention collects the operation data of the power generation equipment through the data collecting and processing module and preprocesses the operation data; converting the preprocessed operation data into first protocol data through a field protocol converter, wherein the first protocol data is data adapted to a 5G communication transmission protocol; sending the first protocol data to a background protocol converter through a transmission module based on a preset frequency through a 5G transmission network; converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring and diagnosing center, wherein the second protocol data is data adaptive to the monitoring and diagnosing center; the second protocol data are analyzed through the monitoring and diagnosing center, the power generation equipment is monitored according to the analysis result, the remote monitoring and diagnosing of the power generation equipment based on 5G communication can be realized, the requirements of technical indexes such as data transmission accuracy, packet loss rate, capacity and response time are met, the safety of the transmission of important test data of the power generation equipment is ensured, the space or region limitation is broken through, the data acquisition point is allowed to be expanded, and the upgrading requirement of a modern intelligent power plant is met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic structural diagram of a remote monitoring system for power generation equipment according to a first embodiment of the present invention;
fig. 2 is a flowchart of a remote monitoring method for a power generation facility according to a second embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example one
Fig. 1 is a schematic structural diagram of a remote monitoring system for power generation equipment according to an embodiment of the present invention. The remote monitoring system realizes remote monitoring of the power generation equipment based on 5G communication by acquiring the data of the power generation equipment and the operation data and transmitting the data to the monitoring and diagnosis center by adopting a 5GTCP communication technology and feeding back a control instruction generated by the monitoring and diagnosis center to the power generation equipment, and meets the technical index requirements of data transmission accuracy, packet loss rate, capacity, response time and the like.
In an embodiment of the present invention, a remote monitoring system for power generation equipment includes: the system comprises a power generation device 1, a data acquisition and processing module 2, a field protocol converter 3, a transmission module 4, a background protocol converter 5 and a monitoring diagnosis center 6;
the data acquisition and processing module 2 is used for acquiring the operation data of the power generation equipment 1 and preprocessing the operation data;
the field protocol converter 3 is used for converting the preprocessed operation data into first protocol data, and the first protocol data is data of a 5G communication transmission protocol;
the transmission module 4 is used for transmitting the first protocol data to the background protocol converter through the 5G transmission network based on the preset frequency;
the background protocol converter 5 is used for converting the first protocol data into second protocol data and sending the second protocol data to the monitoring and diagnosing center, wherein the second protocol data is data adapted to the monitoring and diagnosing center;
and the monitoring and diagnosing center 6 is used for analyzing the second protocol data and monitoring the power generation equipment according to the analysis result.
The power generation device 1 is a device that converts energy into electric energy, and in the embodiment of the present invention, the power generation device is used to generate operation data for monitoring and diagnosis, and also serves as a monitoring target. The power generation apparatus may include: utility boilers, steam turbines, gas turbines, water turbines, generators, distributed gas turbine power generation equipment. Wind power generation equipment, photovoltaic power generation equipment and other various equipment and devices.
The data acquisition and processing module 2 is used for acquiring the operation data of the power generation equipment 1, a special acquisition device can be arranged in the data acquisition and processing module, and the data acquisition and processing module is connected with an acquisition point on the power generation equipment through the Ethernet to acquire the operation data of the power generation equipment.
Optionally, the field protocol converter 3 is connected to the data acquisition and processing module through a first serial interface; and the background protocol converter 3 is connected with the transmission module through a second serial interface.
The first serial interface may be an RS485 interface, and the second interface may be an RS232 interface or an RS485 interface.
Specifically, the field protocol converter 3 has functions of downlink communication with the data acquisition and preprocessing module, uplink communication with the 5G field terminal, and conversion between the Modbus protocol and the TCP protocol. The downlink Modbus protocol link is connected with the data acquisition and preprocessing module 2 through an RS485 interface, and the uplink TCP protocol link is connected with the 5G field terminal in the transmission module 4 through an RS232/RS485 interface.
Wherein, the transmission module 4 includes: 5G field terminals 41, 5G communication link and data processing unit 45. The 5G communication link includes: a 5G base station 42, a 5G access network 43 and a ground communication center 44 for providing a 5G data communication service. The 5G base station provides 5G network wireless coverage, and realizes wireless signal transmission between a wired communication network and a wireless terminal, and the 5G access network connects all terminals into the communication network, and includes a CU (Centralized Unit), a DU (distributed Unit), and an AAU (Active Antenna Unit) 3 including a functional entity.
Optionally, the background protocol converter 5 is connected to the transmission module 4 through a third serial interface; the background protocol converter 5 is connected with the monitoring diagnosis center 6 through an Ethernet interface.
The third serial interface may be an RS232 interface or an RS485 interface. The ethernet interface may be an RJ45 interface.
Specifically, the background protocol converter 5 is connected to the data processing unit of the transmission module 4 through an RS232 interface or an RS485 interface, and is connected to the monitoring and diagnosing center 6 through an RJ45 interface.
Optionally, the monitoring and diagnosis center 6 has a draggable component, which embeds the computing unit.
The monitoring and diagnosing center 6 can adopt a zero-code and configuration type modeling technology, provides a draggable component function under different application scenes for the power generation equipment on the basis of a nonlinear equation system solving technology, and is internally provided with a computing unit for computing the operation data of the power generation equipment. The calculation unit includes: the system comprises a thermal balance calculation unit, a rule calculation unit, a numerical optimization unit and a deep learning unit, and realizes the system collaborative optimization control driven by a calculation engine.
The remote monitoring system of the power generation equipment provided by the embodiment of the invention comprises: the system comprises a data acquisition and processing module, a field protocol converter, a transmission module, a background protocol converter and a monitoring diagnosis center; the data acquisition and processing module is used for acquiring the operation data of the power generation equipment and preprocessing the operation data; the field protocol converter is used for converting the preprocessed operation data into first protocol data, and the first protocol data is data adapted to a 5G communication transmission protocol; the transmission module is used for transmitting the first protocol data to the background protocol converter through the 5G transmission network based on the preset frequency; the background protocol converter is used for converting the first protocol data into second protocol data and sending the second protocol data to the monitoring and diagnosing center, wherein the second protocol data are data adaptive to the monitoring and diagnosing center; the monitoring and diagnosing center is used for analyzing the second protocol data and monitoring the power generation equipment according to the analysis result, can realize remote monitoring and diagnosis of the power generation equipment based on 5G communication, meets the technical index requirements of data transmission accuracy, packet loss rate, capacity, response time and the like, ensures the safety of the transmission of important test data of the power generation equipment, breaks through space or region limitation, allows the expansion of data acquisition points and meets the upgrading requirement of a modern intelligent power plant.
Example two
Fig. 2 is a flowchart of a method for remotely monitoring power generation equipment according to an embodiment of the present invention, where the present embodiment is applicable to a case where power generation equipment is remotely monitored based on a 5G transmission technology, and the method may be implemented by a system for remotely monitoring power generation equipment according to an embodiment of the present invention, as shown in fig. 2, the method specifically includes the following steps:
and S210, acquiring the operation data of the power generation equipment through the data acquisition and processing module, and preprocessing the operation data.
The operation data of the power generation equipment refers to data generated in the operation process of the power generation equipment, such as power data of voltage, current and the like, or equivalent ratio data of inlet temperature and inlet pressure.
For example, a dedicated acquisition device may be disposed in the data acquisition and processing module, and the data acquisition and processing module is connected to an acquisition point on the power generation equipment through an ethernet to acquire operation data of the power generation equipment, where the acquired operation data is generally OPC protocol data, and the OPC protocol data may be converted into Modbus protocol data to adapt to data communication of the field protocol converter.
Exemplary preprocessing of the operational data may include: and processing operations such as data null interpolation, abnormal data detection, data redundancy removal and the like.
And S220, converting the preprocessed operation data into first protocol data through a field protocol converter, wherein the first protocol data is data adapted to a 5G communication transmission protocol.
The field protocol converter is used for data format conversion.
Specifically, the field protocol converter is respectively connected with the data acquisition and processing module and the transmission module; the data processing device is used for converting the preprocessed operation data into first protocol data, and the first protocol data are data of a 5G communication transmission protocol.
Illustratively, the first protocol data is data adapted to a 5G communication transport protocol, and may be, for example, a TCP protocol. The preprocessed operation data in the Modbus protocol format is converted into a TCP communication protocol through a field protocol converter for 5G transmission.
The TCP communication Protocol, Transmission Control Protocol (TCP), is a connection-oriented, reliable transport layer communication Protocol based on a byte stream. TCP accommodates layered protocol hierarchies that support multiple network applications. Reliable communication services are provided by means of TCP between pairs of processes in host computers connected to different but interconnected computer communication networks. The application layer sends a data stream represented in 8-bit bytes to the TCP layer for internetwork transfer, and the TCP then partitions the data stream into segments of appropriate length. TCP gives each packet a sequence number in order to ensure that no packet is lost, and the sequence number also ensures in-sequence reception of packets transmitted to the receiving end entity. Then the receiving end entity sends back a corresponding acknowledgement ACK to the successfully received packet; if the sending entity does not receive an acknowledgement within a reasonable round trip delay RTT, the corresponding data packet is assumed to be lost and will be retransmitted. TCP uses a checksum function to check whether the data has errors; the checksum is calculated both at the time of transmission and at the time of reception. The TCP protocol can provide reliable communication services.
And S230, sending the first protocol data to a background protocol converter through a transmission module based on the preset frequency through a 5G transmission network.
Specifically, the transmission module supports a TCP communication protocol, and the transmission module may include a 5G field terminal, a 5G communication link, and a data processing unit. And the inside of the 5G field terminal is reasonably scheduled by the micro control unit to realize high-frequency data transmission. The data transmission process of the 5G field terminal comprises the following steps: initializing the 5G field terminal and sending data packets for 2 steps. When the method is executed, the 5G field terminal is initialized, and whether the 5G card is installed or not and the 5G signal strength are detected. After initialization is completed, card numbers, use frequency and signal strength are automatically acquired, and if the signal strength meets the preset strength requirement, operations of sending TCP, acquiring positions, acquiring time and the like are allowed to be executed. The data processing unit supports a 5GTCP communication protocol, is compatible with various encryption and decryption modes, has the capability of receiving 5G signals of all system loads, has the functions of positioning, communication, time correction, user authorization, safety management, big data processing and the like, and is used for improving the safety of data transmission. And the 5G communication link is used for providing a 5G data communication service.
S240, converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring and diagnosing center, wherein the second protocol data is data adaptive to the monitoring and diagnosing center.
The background protocol converter is used for inverse conversion of data formats.
Specifically, the background protocol converter is respectively connected with the transmission module and the monitoring diagnosis center; the monitoring and diagnosing system is used for converting first protocol data into second protocol data, wherein the first protocol data is data adapted to a monitoring and diagnosing center.
The second protocol data is data adapted to the monitoring and diagnosis center, and may be, for example, an OPC data format. And the TCP communication protocol is converted into an OPC data format which can be used by the monitoring and diagnosing center through the background protocol converter, so that the information interaction between the background protocol converter and the monitoring and diagnosing center is realized.
And S250, analyzing the second protocol data through the monitoring diagnosis center, and monitoring the power generation equipment according to the analysis result.
Specifically, the monitoring and diagnosing center analyzes and analyzes the second protocol data transmitted by the background protocol converter through a special digital receiving program, and feeds back a control instruction and operation diagnosis information to the power generation equipment. The monitoring and diagnosing center is provided with a display device for displaying the operation data, the analysis result and other data of the power generation device. The display interface of the display equipment can be flexibly customized according to the display requirements of the power generation equipment sequence control, regulation control and safety protection system.
For example, the method for analyzing the second protocol data may adopt a zero-code and configuration modeling technology, provide a draggable component function under different application scenarios for the power generation equipment based on a nonlinear equation system solution technology, and realize system collaborative optimization control driven by a computing engine by building in heat balance computing, rule computing, numerical optimization and deep learning units.
According to the technical scheme of the embodiment, the operation data of the power generation equipment is acquired through the data acquisition and processing module, and the operation data is preprocessed; converting the preprocessed operation data into first protocol data through a field protocol converter, wherein the first protocol data is data adapted to a 5G communication transmission protocol; sending the first protocol data to a background protocol converter through a transmission module based on a preset frequency through a 5G transmission network; converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring and diagnosing center, wherein the second protocol data is data adaptive to the monitoring and diagnosing center; through the monitoring diagnosis center, the second protocol data are analyzed, the power generation equipment is monitored according to the analysis result, the power generation equipment can be remotely monitored based on the 5G technology, the safety of the transmission of important test data of the power generation equipment is guaranteed, the space or region limitation is broken through, the data acquisition points are allowed to be expanded, and the upgrading requirement of a modern intelligent power plant is met.
Optionally, the preprocessing the operation data includes:
grouping the operating data by adopting a mean clustering grouping algorithm;
data grooming the packet data, the data grooming comprising at least one of: null interpolation, redundant data removal and data filtering.
Specifically, the operation data are grouped with short time and high precision by utilizing a K-Means clustering grouping technology, null interpolation, abnormal detection and redundant data removal are realized by a BP neural network data simulation method, an isolated forest method and a Gaussian probability density distribution method, and preprocessing functions such as power generation equipment operation data filtering and data state identification are provided.
Optionally, before converting the preprocessed operating data into the first protocol data, the field protocol converter further includes:
acquiring the data type of each preprocessed operation data;
setting a global shared buffer area for storing a read-write control mark;
storing each preprocessed running data in a data buffer area of a corresponding data type respectively based on a write control mark, wherein the write control mark is triggered when receiving the preprocessed running data is detected;
correspondingly, converting the preprocessed operating data into the first protocol data through the field protocol converter includes:
read the operation data after the preliminary treatment from the data buffer through the field protocol converter based on reading the control mark to turn into first protocol data with the operation data after the preliminary treatment, read the control mark by the corresponding frequency setting of presetting of data type of the operation data after the preliminary treatment.
The data type of the preprocessed operation data may include: normal operating data and emergency alert data. The normal operation data is data collected in an operation state of the power generation equipment, and the emergency warning data is data collected in an early warning state sent by the power generation equipment.
Specifically, the data type of the preprocessed running data is obtained through a type identifier carried by the preprocessed running data, and a buffer area is established in a memory space of the field protocol converter and comprises a data buffer area and a global shared buffer area, wherein the global shared buffer area is used for storing a read-write control mark, and the data buffer area is used for storing the preprocessed running data. And respectively storing the preprocessed running data in the data buffer areas of the corresponding data types based on the read-write control marks stored in the global shared buffer area, wherein the write control marks are triggered when the preprocessed running data are detected to be received. And storing the preprocessed running data in a corresponding buffer zone for waiting to be read.
Inquiring a mapping relation table of the data type and a preset frequency according to the data type of the preprocessed operation data stored in the data buffer area, and setting a reading control mark in the global shared buffer area based on the preset frequency; reading the preprocessed operation data from the data buffer area through the field protocol converter based on the reading control mark, and converting the preprocessed operation data into first protocol data. The transmission efficiency of 5GTCP communication is improved by adopting a small data packet-sticking transmission mechanism, and the reliability of data transmission is ensured by applying a packet loss feedback retransmission mechanism.
The read-write operation is executed through the read-write control mark, multi-module read-write is realized in one task, the multi-task does not need to be serialized and synchronized, the memory access conflict is not generated, and the response and conversion speed is high.
Illustratively, the field protocol converter identifies the data type when detecting that the preprocessed operation data sent by the acquisition and preprocessing module is received, and sets a read-write flag in the global shared buffer.
Optionally, if the preprocessed operation data is normal operation data, setting a read control flag by using a first preset frequency;
and if the preprocessed operation data is the emergency alarm data, setting a reading control mark by adopting a second preset frequency, wherein the first preset frequency is less than the second preset frequency.
Specifically, the first preset frequency is a normal transmission frequency, and is used as a transmission frequency of general data, for example, 30 to 60 seconds for 1 time. The second preset frequency is a burst transmission frequency as a transmission frequency of the emergency alert data, for example, 1 time per second.
Optionally, analyzing the second protocol data by the monitoring and diagnosing center, and monitoring the power generation equipment according to the analysis result, including:
performing performance analysis on the second protocol data to determine a fault diagnosis result;
performing data prediction on the second protocol data to determine a prediction result;
the power generation equipment is monitored based on the fault diagnosis result and/or the prediction result.
Specifically, the monitoring and diagnosing center performs performance analysis on the received second protocol data, calculates a performance index of the power generation equipment, compares the calculated performance index with standard data of the power generation equipment to determine fault data, and diagnoses the fault data to determine a fault diagnosis result. And performing data prediction on the received second protocol data, determining a prediction result, and monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result.
Optionally, monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result includes:
and generating a control instruction based on the fault diagnosis result and/or the prediction result through the monitoring diagnosis center, and feeding the control instruction back to the power generation equipment so that the power generation equipment executes corresponding operation based on the control instruction.
Specifically, the power generation equipment is used as a monitored object, and after the monitoring diagnosis center generates a control instruction based on a fault diagnosis result and/or a prediction result, the control instruction is sent to the power generation equipment through the background protocol converter, the transmission module and the field protocol converter in sequence, so that the power generation equipment executes corresponding operation based on the control instruction.
For example, if the fault diagnosis result is that the power is too large, the control command is to reduce the voltage or the current, and the power generation equipment adjusts the voltage or the current value after receiving the control command.
The invention provides a power generation equipment remote monitoring and diagnosing system and method based on 5G, which utilize the characteristics of high speed, low time delay and large connection of 5G communication to reduce data transmission time delay, improve data transmission speed and improve communication reliability, provide data capable of being converted into action for a power generation equipment remote monitoring system, are used for reading and analyzing real-time data and historical data of power generation equipment, meet the remote transmission requirement of power generation equipment operation data, and are beneficial to improving the remote diagnosis level of the power generation equipment. Based on the 5GTCP communication technology, the method carries out data acquisition, data transmission protocol conversion, data transmission, data reception protocol conversion, data processing and display on the power generation equipment, eliminates the potential safety and security hazards of the conventional wired communication mode, breaks through the space limitation, allows the expansion of sensing and data acquisition points, and meets the upgrading requirement of the modern intelligent power plant. Meanwhile, a standby channel can be provided for a conventional data transmission special line, the reliability of important test data transmission of the power generation equipment is ensured, the method is particularly suitable for data transmission application of data acquisition users and large-range monitoring management of group users, and has the basis and conditions for remote monitoring and diagnosis of the power generation equipment. The remote monitoring and diagnosis requirements of power generation equipment with the dispersive characteristic, such as wind power generation, solar photovoltaic power generation, a distributed gas turbine and the like, are met, the development trend of the low-carbon new energy power generation industry is met, and the remote monitoring and diagnosis method has positive social benefits.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method of remote monitoring of power generation equipment, comprising:
acquiring operation data of the power generation equipment through a data acquisition and processing module, and preprocessing the operation data;
converting the preprocessed operation data into first protocol data through a field protocol converter, wherein the first protocol data is data of a 5G communication transmission protocol;
sending the first protocol data to a background protocol converter through a transmission module based on a preset frequency through a 5G transmission network;
converting the first protocol data into second protocol data through a background protocol converter, and sending the second protocol data to a monitoring and diagnosing center, wherein the second protocol data is data adapted to the monitoring and diagnosing center;
and analyzing the second protocol data through a monitoring diagnosis center, and monitoring the power generation equipment according to an analysis result.
2. The method of claim 1, wherein pre-processing the operational data comprises:
grouping the operating data by adopting a mean clustering grouping algorithm;
data grooming the packet data, the data grooming comprising at least one of: null interpolation, redundant data removal and data filtering.
3. The method of claim 1, wherein the field protocol converter, prior to converting the pre-processed operating data into the first protocol data, further comprises:
acquiring the data type of each preprocessed operation data;
setting a global shared buffer area for storing a read-write control mark;
storing each preprocessed running data in a data buffer area of a corresponding data type respectively based on a write control mark, wherein the write control mark is triggered when receiving the preprocessed running data is detected;
correspondingly, converting the preprocessed operating data into the first protocol data through the field protocol converter includes:
read the control mark through the field protocol converter follow based on reading the operating data after the preliminary treatment in the data buffer, and will the operating data after the preliminary treatment turns into first protocol data, read the control mark by the corresponding frequency setting of presetting of data type of the operating data after the preliminary treatment.
4. The method of claim 3, wherein the setting of the read control flag by a preset frequency corresponding to the data type of the preprocessed operation data comprises:
if the preprocessed operation data are normal operation data, setting a reading control mark by adopting a first preset frequency;
and if the preprocessed operation data is emergency alarm data, setting a reading control mark by adopting a second preset frequency, wherein the first preset frequency is less than the second preset frequency.
5. The method of claim 1, wherein analyzing the second protocol data by a monitoring and diagnostic center and monitoring the power generation equipment according to the analysis result comprises:
performing performance analysis on the second protocol data to determine a fault diagnosis result;
performing data prediction on the second protocol data to determine a prediction result;
monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result.
6. The method of claim 5, wherein monitoring the power generation equipment based on the fault diagnosis result and/or the prediction result comprises:
and generating a control instruction based on the fault diagnosis result and/or the prediction result through a monitoring diagnosis center, and feeding the control instruction back to the power generation equipment so that the power generation equipment executes corresponding operation based on the control instruction.
7. A remote monitoring system for a power generation device, comprising: the system comprises power generation equipment, a data acquisition and processing module, a field protocol converter, a transmission module, a background protocol converter and a monitoring and diagnosis center;
the data acquisition and processing module is used for acquiring the operation data of the power generation equipment and preprocessing the operation data;
the field protocol converter is used for converting the preprocessed operation data into first protocol data, and the first protocol data is data adapted to a 5G communication transmission protocol;
the transmission module is used for transmitting the first protocol data to a background protocol converter through a 5G transmission network based on preset frequency;
the background protocol converter is used for converting the first protocol data into second protocol data and sending the second protocol data to the monitoring and diagnosing center, wherein the second protocol data is data adaptive to the monitoring and diagnosing center;
and the monitoring diagnosis center is used for analyzing the second protocol data and monitoring the power generation equipment according to the analysis result.
8. The system of claim 7, wherein said field protocol converter is connected to said data acquisition and processing module via a first serial interface; the background protocol converter is connected with the transmission module through a second serial interface.
9. The system of claim 7, wherein said background protocol converter is connected to said transmission module via a third serial interface; the background protocol converter is connected with the monitoring diagnosis center through an Ethernet interface.
10. The system of claim 7, wherein the monitoring and diagnostic center has a towable component that houses a computing unit.
CN202111432785.6A 2021-11-29 2021-11-29 Remote monitoring method and system for power generation equipment Pending CN114204677A (en)

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