CN-121173878-B - Intelligent adaptation and connection method and system for power equipment of Internet of things and electronic equipment

CN121173878BCN 121173878 BCN121173878 BCN 121173878BCN-121173878-B

Abstract

The invention discloses an intelligent adapting method, system and electronic equipment of electric equipment of the Internet of things, which comprise the steps of determining offset according to voltage signals and current signals of the electric equipment, sequentially mapping communication node IDs (identity) based on time stamps of the offset to determine access identification data, determining node attributes based on the access identification data, constructing mapping indexes, generating mapping comparison information, generating protocol mapping parameters based on the mapping comparison information, determining instruction available data based on the protocol mapping parameters, determining port monitoring results based on the instruction available data, performing power summarization based on the port monitoring results to determine load allocation indexes, acquiring current amplitude based on the load allocation indexes, determining parameter comparison information, acquiring operating temperature based on the parameter comparison information, generating temperature synthesis data, dynamically checking based on the temperature synthesis data, and determining energy efficiency dynamic parameters to adapt and connect the electric equipment based on the energy efficiency dynamic parameters.

Inventors

WANG NING
SHENG KANG
Zhao Liuqi
LI XUEWU
QIAO ZHUQIAO
CUI TANGSHAN
GAO XUEFEI
SHEN XIAOJIE
LI QIANG
HUANG QIAN
ZHANG ZHIRAN
TAN JINPENG
YUAN HUALU
FENG ZIYAN
Ruan Yanjun
ZHANG YUHENG
ZHAO HANGHANG
LIU YANG
LI SHAOSEN
DING JIAN
WU JIYANG
WU SIYANG
CHEN HUAN
Qiu tianyi
ZHANG BIN
LI JUEQIANG
WEN XING
ZHU JINWEI
ZHAO ZHIQIN
HUANG ZHENLIN
HUANG YU
ZHENG WULUE

Assignees

中国南方电网有限责任公司超高压输电公司
中国南方电网有限责任公司超高压输电公司昆明局

Dates

Publication Date: 20260505
Application Date: 20250806

Claims (11)

1. An intelligent adapting method for power equipment of the internet of things is characterized by comprising the following steps: Acquiring a voltage signal and a current signal of power equipment, determining an offset according to the voltage signal and the current signal, sequentially mapping communication node IDs based on time stamps of the offset to identify identification information, and determining access identification data based on the identification information; determining node attributes based on the access identification data, constructing a mapping index based on the node attributes, generating mapping comparison information, and generating protocol mapping parameters based on the mapping comparison information; determining instruction available data based on the protocol mapping parameters, determining port monitoring results based on the instruction available data, and performing power summarization based on the port monitoring results to determine load distribution indexes; And acquiring a current amplitude based on the load distribution index, determining parameter comparison information based on the current amplitude, acquiring an operating temperature based on the parameter comparison information, generating temperature synthesis data, and dynamically checking based on the temperature synthesis data to determine an energy efficiency dynamic parameter so as to carry out adaptive docking of the power equipment based on the energy efficiency dynamic parameter.
2. The method of claim 1, wherein the determining an offset from the voltage signal and the current signal and sequentially mapping the communication node IDs based on time stamps of the offset to identify identification information and determining access identification data based on the identification information comprises: Sequentially reading the instantaneous signals of the voltage signal and the current signal, determining the peak value and the average value of each moment, calculating the difference value between the peak value and the average value of each moment, and determining waveform verification data based on the difference value; comparing waveform phases of each sampling segment based on the waveform verification data, recording phase offset, and generating an offset comparison result based on the difference between the phase offset and a preset offset threshold; Based on the offset comparison result, comparing each piece of time stamp information with a phase offset record with a known communication node ID to determine unique identification information, and inputting a corresponding running serial number based on the identification information to generate access identification data based on the running serial number.
3. The method of claim 1, wherein determining node attributes based on the access identification data, constructing a mapping index based on the node attributes, generating mapping contrast information, and generating protocol mapping parameters based on the mapping contrast information, comprises: Analyzing the access identification data, determining a node identifier, inquiring a corresponding attribute list based on the node identifier, and classifying through positioning the node ID and port information to generate a node attribute record; based on the node attribute record reading instruction code and inquiring an execution period, constructing a mapping index through pairing a receiving sequence and a sending period, and generating mapping comparison information; And generating protocol mapping parameters by recording the matched electric energy meter port indexes based on the mapping comparison information piece by piece corresponding waveform characteristics and searching the comparison table items.
4. The method of claim 1, wherein determining instruction availability data based on the protocol mapping parameters, determining port monitoring results based on the instruction availability data, and performing power aggregation based on the port monitoring results to determine load allocation metrics, comprises: Reading an instruction code based on the protocol mapping parameters, verifying whether a port is in an available state, and summarizing by collecting the current instruction type to determine instruction available data; Determining a device current peak value and a fluctuation period based on the instruction available data, and determining a port monitoring result by recording a timestamp and comparing port use conditions; and merging preset power thresholds and marking priorities based on the port monitoring results, and forming a scheduling list through the paired node identifiers and the action sequence numbers so as to determine load distribution indexes.
5. The method of claim 1, wherein obtaining a current magnitude based on the load distribution indicator, determining parameter comparison information based on the current magnitude, obtaining an operating temperature based on the parameter comparison information, generating temperature synthetic data, and dynamically verifying based on the temperature synthetic data, determining an energy efficiency dynamic parameter to adapt docking of the electrical device based on the energy efficiency dynamic parameter, comprising: Reading a current amplitude value based on the load distribution index, obtaining a current peak value, and comparing the current peak value with a reference value to generate parameter comparison information; Acquiring the current operation temperature output by the corresponding temperature sensor based on the parameter comparison information, and performing interactive check based on the current operation temperature to generate temperature synthesis data; And checking the power factor and the power value based on the temperature synthesis data, matching the existing verification standard, and updating configuration information by recording dynamic output quantity to generate energy efficiency dynamic parameters so as to carry out the adapting and docking of the power equipment based on the energy efficiency dynamic parameters.
6. The method according to claim 1, wherein the method further comprises: determining a load ID based on the energy efficiency dynamic parameter, and generating a scheduling execution instruction based on a load attribute corresponding to the load ID; And reading power requirements of each node based on the scheduling execution instruction, performing resource allocation based on the power requirements of each node, and generating a resource allocation list so as to perform resource allocation based on the resource allocation list.
7. The method of claim 6, wherein the determining a load ID based on the energy efficiency dynamic parameter and generating a scheduling execution instruction based on a load attribute corresponding to the load ID comprises: Screening a load ID and acquiring a load attribute based on the energy efficiency dynamic parameter, and selecting a scheduling priority based on the load attribute to generate a type screening result based on the scheduling priority; Analyzing the idle or occupied state of the current port based on the type screening result, reading the available capacity, and generating port detection information by comparing idle time periods to mark; and monitoring motor rotating speed feedback based on the port detection information, comparing the motor rotating speed feedback with a reference range, and identifying an operation node by recording a switching sequence and an operation and maintenance code to generate a scheduling execution instruction.
8. The method of claim 6, wherein the executing the instruction based on the schedule reads power requirements of each node and allocates resources based on the power requirements of each node, and generating a resource allocation list comprises: checking the power requirements of all nodes based on the scheduling execution instruction, comparing the power requirements with a limit threshold value, and generating power comparison information according to the node states meeting or exceeding the limit threshold value; verifying the communication frequency band number and comparing the occupation list based on the power comparison information, and generating a frequency band comparison result by screening whether conflict mark repetition nodes exist or not; and correcting the voltage offset based on the frequency band comparison result, recording correction data, selecting available ports by searching residual capacity, updating the mapping, and generating a resource allocation list.
9. An intelligent adaptation interface system of an internet of things power device, the system comprising: The access identification module is used for acquiring a voltage signal and a current signal of the power equipment, determining an offset according to the voltage signal and the current signal, sequentially mapping communication node IDs based on time stamps of the offset to identify identification information, and determining access identification data based on the identification information; The protocol conversion module is used for determining node attributes based on the access identification data, constructing a mapping index based on the node attributes, generating mapping comparison information and generating protocol mapping parameters based on the mapping comparison information; the load optimization module is used for determining instruction available data based on the protocol mapping parameters, determining port monitoring results based on the instruction available data, and carrying out power summarization based on the port monitoring results to determine load distribution indexes; And the energy efficiency regulation and control module is used for acquiring the current amplitude based on the load distribution index, determining parameter comparison information based on the current amplitude, acquiring the operating temperature based on the parameter comparison information, generating temperature synthesis data, and dynamically checking based on the temperature synthesis data to determine energy efficiency dynamic parameters so as to carry out the adaptive docking of the power equipment based on the energy efficiency dynamic parameters.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any of claims 1-8.
11. An electronic device, comprising: The computer-readable storage medium of claim 10, and One or more processors configured to execute the programs in the computer-readable storage medium.

Description

Intelligent adaptation and connection method and system for power equipment of Internet of things and electronic equipment Technical Field The invention relates to the technical field of the Internet of things, and in particular relates to an intelligent adaption connection method, system and electronic equipment for power equipment of the Internet of things. Background The technical field of intelligent power equipment adaptation relates to compatibility and interconnectivity among different equipment in a power system, and covers the aspects of communication protocol analysis, data interaction, load optimization, energy efficiency management, resource scheduling and the like of the power equipment. In the aspect of equipment communication compatibility, the prior art mainly adopts a fixed protocol matching mode, and when facing equipment of different manufacturers and different models, the compatibility is poor, and protocol mismatch or data analysis errors are easily caused, so that the system stability is influenced. In the aspect of load optimization, the traditional mode is usually preset based on static load parameters, but lacks of real-time monitoring and adjustment of the running state of equipment, and the situation of uneven load distribution or unreasonable power distribution is easy to occur. In the aspect of energy efficiency management, the prior art mostly adopts a fixed power factor adjustment mode, and is difficult to dynamically adjust according to the running environment and the power demand of equipment, so that the running power of part of equipment is possibly too high or too low, and the energy efficiency of the whole system is affected. Therefore, a new intelligent matching and connection method for the power equipment of the internet of things is needed. Disclosure of Invention The invention provides an intelligent matching and connecting method and system for power equipment of the Internet of things and electronic equipment, and aims to solve the problem of how to efficiently realize intelligent matching of the power equipment of the Internet of things. In order to solve the above problems, according to an aspect of the present invention, there is provided an intelligent adapting method for an internet of things power device, the method comprising: Acquiring a voltage signal and a current signal of power equipment, determining an offset according to the voltage signal and the current signal, sequentially mapping communication node IDs based on time stamps of the offset to identify identification information, and determining access identification data based on the identification information; determining node attributes based on the access identification data, constructing a mapping index based on the node attributes, generating mapping comparison information, and generating protocol mapping parameters based on the mapping comparison information; determining instruction available data based on the protocol mapping parameters, determining port monitoring results based on the instruction available data, and performing power summarization based on the port monitoring results to determine load distribution indexes; And acquiring a current amplitude based on the load distribution index, determining parameter comparison information based on the current amplitude, acquiring an operating temperature based on the parameter comparison information, generating temperature synthesis data, and dynamically checking based on the temperature synthesis data to determine an energy efficiency dynamic parameter so as to carry out adaptive docking of the power equipment based on the energy efficiency dynamic parameter. Preferably, wherein determining an offset from the voltage signal and the current signal and sequentially mapping the communication node IDs based on time stamps of the offset to identify identification information and determining access identification data based on the identification information, comprises: Sequentially reading the instantaneous signals of the voltage signal and the current signal, determining the peak value and the average value of each moment, calculating the difference value between the peak value and the average value of each moment, and determining waveform verification data based on the difference value; comparing waveform phases of each sampling segment based on the waveform verification data, recording phase offset, and generating an offset comparison result based on the difference between the phase offset and a preset offset threshold; Based on the offset comparison result, comparing each piece of time stamp information with a phase offset record with a known communication node ID to determine unique identification information, and inputting a corresponding running serial number based on the identification information to generate access identification data based on the running serial number. Preferably, determining node attributes based on the access identifica