CN114881516A - Equipment state evaluation method based on multi-source data fusion of power internet of things - Google Patents
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Abstract
The invention provides an equipment state evaluation method based on multi-source data fusion of an electric power internet of things, belonging to the technical field of electric power and specifically comprising the following steps: sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment; determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, wherein the sequencing result is different, the communication frequency is also different, and the monitoring data of the Internet of things monitoring equipment of the electrical equipment is obtained; according to the monitoring data of the Internet of things monitoring equipment of the electrical equipment, duplicate removal is carried out on the monitoring data, dimension reduction processing is carried out according to duplicate removal results to obtain processing monitoring data, a state evaluation model is built, the processing monitoring data are sent into the state evaluation model, a final state evaluation result of the electrical equipment is obtained, the problems that original Internet of things communication data are disordered and not sequentially arranged are solved, and the state evaluation accuracy and the state evaluation efficiency are good.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to an equipment state evaluation method based on multi-source data fusion of an electric power internet of things.
Background
The energy industry is the prop industry of China, is an important industry driving the prosperity of the country, social development and the happiness of people, wherein the power industry occupies the leading position, and the deep reformation of a power system has the influence which cannot be ignored on the development of the country and the society. Meanwhile, in the field of information technology, the internet of things is an integrator of modern information technology, the development trend of the internet of things is inevitable and difficult to block, and the scientific and technological work and daily life of people are fundamentally changed. In the face of the development trend, industries focus on the construction work of own industrial chains, gradually break through the traditional pattern under the cognition of the original public, and create a four-layer system architecture of the internet of things by taking perception, network, platform and application as guidance directions, wherein the platform layer is used as a main link to realize mass data processing and calculation, and is also used as a key link to realize various aspects of intellectualization and convenience in the architecture service, production, life and the like of the internet of things. The national power grid is around the construction requirements of 'three-type two-network' world first-class energy Internet enterprises, and the ubiquitous power Internet of things construction is gradually accelerated in recent years. Nowadays, the internet of things technology is widely applied to the power industry, for example, the sensor technology senses and collects mass internet of things information of monitored objects (hardware equipment, operating environment, operators and the like) and surrounding environments thereof by deploying a large number of intelligent terminals. 5G and other wireless network technologies construct a huge power communication network; the artificial intelligence, cloud computing, big data and other related technologies of the direct heat tide help to realize data fusion and semantic analysis and refine valuable electric power information.
The Chinese patent authorization publication No. CN109547538B discloses a power distribution equipment state monitoring system based on the technology of the Internet of things and an implementation method thereof, wherein a power distribution equipment state monitoring cloud platform is designed according to a three-layer architecture system of the technology of the Internet of things, and comprises a field sensing layer, a network communication layer and an application service layer; the tail end of the power distribution equipment state monitoring cloud platform adopts an intelligent ammeter and a sensor to collect operation data and environment data of the power distribution equipment in real time, and data transmission is realized through a public GPRS wireless network; monitoring objects of the power distribution equipment state monitoring cloud platform comprise an outdoor switching station, a box-type transformer, a special transformer, a power distribution ring main unit and a power distribution terminal cabinet, and advanced functions of online operation monitoring, asset management and big data analysis can be provided for power distribution equipment. A distribution transformer state evaluation model with qualitative analysis and quantitative index fusion is established by an author Lenan in a distribution transformer state evaluation and overhaul decision research based on multi-source data fusion, a cloud model evaluation method is adopted to determine the initial state grade of equipment, on the basis, equipment state influence factors in three aspects of external environment, self health condition of the equipment and running conditions are integrated, a calculation method of quantitative indexes is provided, a distribution transformer comprehensive degradation degree evaluation result is obtained and is used as a reference for the equipment to carry out state overhaul decision, but the communication constraint influence of the current transformer substation and the power general is not considered, and as the number of measurement points of the internet of things is increased, the current transformer substation and the power communication network can not meet the increasingly huge communication requirements. Meanwhile, for different electrical devices, even if the same electrical devices are applied in different occasions, the importance degrees of the electrical devices to the stable operation of the whole power grid are different, so that if the communication frequency of the electrical devices is not controlled according to the importance degrees of the electrical devices, the information of the important devices is submerged in the information of the non-important devices, the fault of the important devices cannot be found at the first time, the operation stability of the whole power grid is seriously threatened, the fault of the power grid devices occurs frequently, and the accurate estimation of the device state cannot be realized.
The problems of the prior art are thought: the communication of the monitoring equipment of the internet of things is not subjected to hierarchical frequency division rate management according to the importance degree of the electrical equipment, so that the safety of the whole power grid is poor, and the accurate evaluation of the equipment state cannot be rapidly realized.
Aiming at the technical problems, the invention provides an equipment state evaluation method based on multi-source data fusion of the power internet of things.
Disclosure of Invention
In order to realize the purpose of the invention, the invention adopts the following technical scheme:
according to one aspect of the invention, an equipment state evaluation method based on multi-source data fusion of the power internet of things is provided.
The equipment state evaluation method based on multi-source data fusion of the power Internet of things is characterized by specifically comprising the following steps of:
s1, sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment;
s2, determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, wherein the sequencing result is different, the communication frequency is also different, and obtaining the monitoring data of the Internet of things monitoring equipment of the electrical equipment;
s3, removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, performing dimensionality reduction processing according to the duplicate removal result to obtain processing monitoring data, constructing a state evaluation model, and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
The method comprises the steps of sequencing importance degrees of electrical equipment according to power grid nodes, voltage levels and equipment types of the electrical equipment to obtain sequencing results of the electrical equipment, determining communication frequencies of Internet of things monitoring equipment of the electrical equipment according to the sequencing results, wherein the sequencing results are different in communication frequency, carrying out de-duplication and dimensionality reduction on data after monitoring data of the Internet of things monitoring equipment are obtained, sending the processed data into a state evaluation model, and obtaining the state evaluation results of the state evaluation, so that the problem that hierarchical frequency division rate management is carried out on communication of the Internet of things monitoring equipment according to the importance degrees of the electrical equipment is solved, the data volume of state evaluation is reduced, important attention can be paid to the important electrical equipment, and estimation of equipment states is accurately achieved through the state evaluation model.
The method comprises the steps of sequencing importance degrees of electrical equipment according to a power grid node, a voltage level and an equipment type of the electrical equipment to obtain a sequencing result of the electrical equipment, comprehensively considering the voltage level, the influence of the node and the influence of the equipment type of the electrical equipment, realizing the sequencing of the importance degrees of the electrical equipment, considering multiple factors to enable the sequencing result to be more credible, determining communication frequency of monitoring equipment of the internet of things according to the sequencing result, wherein the sequencing result is different, the communication frequency is also different, so that the communication frequency of the equipment of the internet of things can be hierarchically managed according to the importance degree level of the electrical equipment, required monitoring data of the internet of things can be highlighted, the data volume of real-time processing is reduced, and the final state evaluation result is also more accurate; according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, the monitoring data are subjected to duplicate removal, dimension reduction processing is carried out according to duplicate removal results to obtain processing monitoring data, due to the fact that a large amount of repetitive data exist in the monitoring data of the Internet of things, if the data cannot be subjected to duplicate removal processing at first, the data size can be increased when state evaluation is carried out at last, the efficiency of overall state evaluation is greatly slowed down, the requirement of the overall state evaluation on the real-time performance of the state evaluation is inconsistent with the requirement of the electrical equipment, the data are subjected to the duplicate removal processing, the final data size is reduced greatly, and the efficiency of the state evaluation is greatly improved.
The further technical scheme is that historical preventive test data of the electrical equipment also need to be considered when the electrical equipment carries out importance degree sequencing.
Historical preventive test data of the electrical equipment represent the recent equipment state of the electrical equipment, and for some electrical equipment, the test data is close to the qualified line standard, so that the monitoring frequency of the electrical equipment must be considered, the electrical equipment also belongs to common equipment which is easy to damage, and the historical preventive test data of the electrical equipment also needs to be considered when the electrical equipment is sorted according to the importance degree, so that the safe and reliable management of the electrical equipment can be further improved.
The further technical scheme is that the specific steps of sequencing the importance degrees of the electrical equipment to obtain the sequencing result of the electrical equipment comprise:
s11, according to the power grid node of the electrical equipment, scoring the electrical equipment based on the importance degree of the power grid node of the electrical equipment through an expert algorithm to obtain a node score, wherein the more important the power grid node of the electrical equipment is, the higher the node score of the electrical equipment is;
s12, according to the voltage grade of the electrical equipment, scoring the electrical equipment based on the voltage grade of the electrical equipment through an expert algorithm to obtain a voltage grade score, wherein the higher the voltage grade of the electrical equipment is, the higher the voltage grade score of the electrical equipment is;
s13, according to the equipment type of the electrical equipment, scoring the electrical equipment based on the importance degree of the equipment type of the electrical equipment through an expert algorithm to obtain an equipment type score, wherein the more important the equipment type of the electrical equipment is, the higher the equipment type score of the electrical equipment is;
s14, constructing a comprehensive evaluation score according to the node score, the voltage grade score and the equipment type score of the electrical equipment, and sequencing the electrical equipment based on the comprehensive evaluation score.
According to the power grid node of the electrical equipment, the electrical equipment is scored based on the importance degree of the power grid node of the electrical equipment through an expert algorithm to obtain a node score, so that the node condition of the electrical equipment can be considered, the more important the node is, the higher score needs to be given, the importance degree of different nodes can be clearly evaluated through the expert algorithm, and the score scoring of the node is realized on the basis again; according to the voltage grade of the electrical equipment, the electrical equipment is scored based on the voltage grade of the electrical equipment through an expert algorithm to obtain a voltage grade score, so that the voltage grade of the electrical equipment can be considered, the higher the voltage grade is, the higher the score needs to be given, and the scoring conditions of the electrical equipment with different voltage grades can be definitely determined through the expert algorithm; according to the equipment type of the electrical equipment, the electrical equipment is scored based on the importance degree of the equipment type of the electrical equipment through an expert algorithm to obtain an equipment type score, so that the electrical equipment type of the electrical equipment can be considered, the more important the electrical equipment type is, the higher the score needs to be given, and the scoring conditions of the electrical equipment of different electrical equipment types can be definitely determined through the expert algorithm; and constructing a comprehensive evaluation score according to the node score, the voltage grade score and the equipment type score of the electrical equipment, and sequencing the electrical equipment based on the comprehensive evaluation score, so that various factors can be comprehensively considered in sequencing, and the final sequencing result becomes more scientific.
The further technical scheme is that the specific formula of the comprehensive evaluation score is as follows:
X＝k 1 X 1 +k 2 X 2 +k 3 X 3
wherein X 1 、X 2 、X 3 Respectively node fraction, voltage class fraction, device type fraction, k 1 、k 2 、k 3 Weight coefficient and voltage grade fraction of node fractionThe weight coefficient of the device type score and the weight coefficient of the device type score.
By giving the weight coefficient of the node score, the weight coefficient of the voltage grade score and the weight coefficient of the equipment type score, the contribution degrees of different factors in the process of obtaining the final comprehensive evaluation score are different, and the final comprehensive evaluation score is close to the actual condition, so that the final comprehensive evaluation score is more accurate.
The further technical scheme is that the weight coefficient of the node score, the weight coefficient of the voltage grade score and the weight coefficient of the equipment type score are related to the voltage grade and the power transmission and distribution mode of a power grid and are determined by experts.
The weight coefficients of the node scores, the weight coefficients of the voltage grade scores and the weight coefficients of the equipment type scores are different in different power transmission and distribution modes, for example, the importance degree of a transformer in a direct-current power transmission mode is far less important than that of a converter, while the importance degree of the transformer in an alternating-current power transmission mode is self-evident, the importance degrees of the transformers in power transmission and distribution networks with different voltage grades are different, so that the final evaluation result is more accurate by considering the factors, and a foundation is laid for accurate state evaluation.
The further technical scheme is that the sorting result is that the core electrical equipment is used when the comprehensive evaluation score of the electrical equipment is greater than a first threshold, the important electrical equipment is used when the comprehensive evaluation score of the electrical equipment is greater than a second threshold, and the rest of the electrical equipment is general electrical equipment, and the first threshold and the second threshold are determined by experts on the basis of considering the number and occasions of the electrical equipment.
By setting the threshold value, the importance degree of the electrical equipment is distinguished, so that the importance degree evaluation of the electrical equipment adopts an accurate mathematical model instead of feeling or experience, and the evaluation result becomes more credible.
The method comprises the following steps that the electrical equipment is provided with local state evaluation equipment, wherein the core monitoring data are uploaded by the Internet of things monitoring equipment of the core electrical equipment, and a core evaluation result obtained based on the core monitoring data is uploaded by the local state evaluation equipment of the core electrical equipment; the monitoring equipment of the internet of things of the important electrical equipment uploads important monitoring data, and after the time is greater than a third threshold value, the local state evaluation equipment of the important electrical equipment uploads an important evaluation result obtained based on the evaluation of the important monitoring data; when the time is greater than the fourth threshold value, the local state evaluation device of the general electrical device uploads a general evaluation result obtained based on general monitoring data evaluation, and when the time is greater than the fifth threshold value, the internet of things monitoring device of the general electrical device uploads general monitoring data.
The data types uploaded at different importance degrees and the time threshold are determined, so that the frequency of the data uploaded at different importance degrees is limited, the data at different importance degrees are limited, the uploading of the monitoring data of the Internet of things becomes more stable and reliable, the monitoring of important equipment is increased, the fault state of the important electrical equipment can be determined at the first time, and the overall loss is lowest.
The further technical scheme is that when the state evaluation result of the electrical equipment is a fault, if the electrical equipment is core electrical equipment, the uploading frequency of the core monitoring data and the core evaluation result is accelerated; if the monitoring data is important electrical equipment, the uploading frequency of the important monitoring data and the important evaluation result is accelerated; and if the equipment is common electrical equipment, the uploading frequency of the common monitoring data and the common evaluation result is accelerated.
When a fault occurs, the monitoring frequency of the electrical equipment is accelerated, so that the state of the fault electrical equipment is determined by an operator in time, the fault is removed as soon as possible, and the running state of the whole power grid state becomes more stable and reliable.
The further technical scheme is that the state evaluation comprises the following specific steps:
s21, sending the processing monitoring data of the electrical equipment into a state evaluation model constructed by an SVM algorithm optimized based on the Harris eagle algorithm, and determining the SVM state evaluation condition of the electrical equipment at the moment;
and S22, comprehensively evaluating the state condition of the electrical equipment according to the state evaluation condition of the SVM in combination with the state evaluation result of the local state evaluation equipment of the electrical equipment to obtain a final state evaluation result.
The optimization of the kernel function of the SVM algorithm is realized by adopting the Harris eagle algorithm, so that the classification effect is greatly improved, the final fault state condition evaluation result is more reliable, and meanwhile, the final comprehensive evaluation result is obtained by combining the state evaluation result of the local state evaluation equipment of the electrical equipment, so that the evaluation result not only considers the result of the evaluation result, but also is more accurate by combining the local evaluation result.
On the other hand, the invention provides an equipment state evaluation system based on multi-source data fusion of the power internet of things, and by adopting the equipment state evaluation method based on multi-source data fusion of the power internet of things,
the system comprises an Internet of things data generation module, a data preprocessing module and a data analysis module;
the Internet of things data generation module is responsible for sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment; determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, and obtaining monitoring data of the Internet of things monitoring equipment of the electrical equipment;
the data preprocessing module is used for removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment and performing dimension reduction processing according to a duplicate removing result to obtain processing monitoring data;
and the data analysis module is responsible for constructing a state evaluation model and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
In another aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed in a computer, causes the computer to execute the above-mentioned fault diagnosis method for an electric power communication network.
In another aspect, the present invention provides a computer program product, wherein the computer program product stores instructions that, when executed by a computer, cause the computer to implement the above-mentioned fault diagnosis method for a power communication network.
See detailed description of the preferred embodiments.
Drawings
The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.
Fig. 1 is a flowchart of an equipment state evaluation method based on multi-source data fusion of the power internet of things according to embodiment 1.
Fig. 2 is a flowchart of specific steps of ranking the importance of the electrical devices to obtain a ranking result of the electrical devices in embodiment 1.
Fig. 3 is a flowchart of specific steps of state evaluation in embodiment 1.
Fig. 4 is a frame diagram according to embodiment 2.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus their detailed description will be omitted.
The terms "a," "an," "the," "said" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising" and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.
The energy industry is the prop industry of China, is an important industry driving the prosperity of the country, social development and the happiness of people, wherein the power industry occupies the leading position, and the deep reformation of a power system has the influence which cannot be ignored on the development of the country and the society. Meanwhile, in the field of information technology, the internet of things is an integrator of modern information technology, the development trend of the internet of things is inevitable and difficult to block, and the scientific and technological work and daily life of people are fundamentally changed. In the face of the development trend, industries focus on the construction work of own industrial chains, gradually break through the traditional pattern under the cognition of the original public, and create a four-layer system architecture of the internet of things by taking perception, network, platform and application as guidance directions, wherein the platform layer is used as a main link to realize mass data processing and calculation, and is also used as a key link to realize various aspects of intellectualization and convenience in the architecture service, production, life and the like of the internet of things. The national power grid is around the construction requirements of 'three-type two-network' world first-class energy Internet enterprises, and the ubiquitous power Internet of things construction is gradually accelerated in recent years. Nowadays, the internet of things technology is widely applied to the power industry, for example, the sensor technology senses and collects mass internet of things information of monitored objects (hardware equipment, operating environment, operators and the like) and surrounding environments thereof by deploying a large number of intelligent terminals. 5G and other wireless network technologies construct a huge power communication network; the artificial intelligence, cloud computing, big data and other related technologies of the direct heat tide help to realize data fusion and semantic analysis and refine valuable electric power information.
The Chinese patent authorization publication No. CN109547538B discloses a power distribution equipment state monitoring system based on the technology of the Internet of things and an implementation method thereof, wherein a power distribution equipment state monitoring cloud platform is designed according to a three-layer architecture system of the technology of the Internet of things, and comprises a field sensing layer, a network communication layer and an application service layer; the tail end of the power distribution equipment state monitoring cloud platform adopts an intelligent ammeter and a sensor to collect operation data and environment data of the power distribution equipment in real time, and data transmission is realized through a public GPRS wireless network; monitoring objects of the power distribution equipment state monitoring cloud platform comprise an outdoor switching station, a box-type transformer, a special transformer, a power distribution ring main unit and a power distribution terminal cabinet, and advanced functions of online operation monitoring, asset management and big data analysis can be provided for power distribution equipment. A distribution transformer state evaluation model with qualitative analysis and quantitative index fusion is established by an author Lenan in a distribution transformer state evaluation and overhaul decision research based on multi-source data fusion, a cloud model evaluation method is adopted to determine the initial state grade of equipment, on the basis, equipment state influence factors in three aspects of external environment, self health condition of the equipment and running conditions are integrated, a calculation method of quantitative indexes is provided, a distribution transformer comprehensive degradation degree evaluation result is obtained and is used as a reference for the equipment to carry out state overhaul decision, but the communication constraint influence of the current transformer substation and the power general is not considered, and as the number of measurement points of the internet of things is increased, the current transformer substation and the power communication network can not meet the increasingly huge communication requirements. Meanwhile, for different electrical devices, even if the same electrical device is applied in different situations, the importance degrees of the electrical devices to the stable operation of the whole power grid are different, so that if the communication frequency of the electrical devices is not controlled according to the importance degrees of the electrical devices, the information of the important devices is submerged in the information of the non-important devices, the fault of the important devices cannot be found at the first time, the operation stability of the whole power grid is seriously threatened, the fault of the power grid devices is frequent, and the accurate estimation of the device state cannot be realized.
The problems of the prior art think: the communication of the monitoring equipment of the internet of things is not subjected to hierarchical frequency division rate management according to the importance degree of the electrical equipment, so that the safety of the whole power grid is poor, and the accurate evaluation of the equipment state cannot be realized.
Example 1
To solve the above problem, according to an aspect of the present invention, as shown in fig. 1, an apparatus state evaluation method based on multi-source data fusion of an electric power internet of things is provided.
The device state evaluation method based on multi-source data fusion of the power internet of things is characterized by specifically comprising the following steps of:
s1, sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment;
s2, determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, wherein the sequencing result is different, the communication frequency is also different, and obtaining the monitoring data of the Internet of things monitoring equipment of the electrical equipment;
s3, removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, performing dimensionality reduction processing according to the duplicate removal result to obtain processing monitoring data, constructing a state evaluation model, and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
The method comprises the steps of sequencing importance degrees of electrical equipment according to power grid nodes, voltage levels and equipment types of the electrical equipment to obtain sequencing results of the electrical equipment, determining communication frequencies of Internet of things monitoring equipment of the electrical equipment according to the sequencing results, wherein the sequencing results are different in communication frequency, carrying out de-duplication and dimensionality reduction on data after monitoring data of the Internet of things monitoring equipment are obtained, sending the processed data into a state evaluation model, and obtaining the state evaluation results of the state evaluation, so that the problem that hierarchical frequency division rate management is carried out on communication of the Internet of things monitoring equipment according to the importance degrees of the electrical equipment is solved, the data volume of state evaluation is reduced, important attention can be paid to the important electrical equipment, and estimation of equipment states is accurately achieved through the state evaluation model.
The method comprises the steps of sequencing importance degrees of electrical equipment according to a power grid node, a voltage level and an equipment type of the electrical equipment to obtain a sequencing result of the electrical equipment, comprehensively considering the voltage level, the influence of the node and the influence of the equipment type of the electrical equipment, realizing the sequencing of the importance degrees of the electrical equipment, considering multiple factors to enable the sequencing result to be more credible, determining communication frequency of monitoring equipment of the internet of things according to the sequencing result, wherein the sequencing result is different, the communication frequency is also different, so that the communication frequency of the equipment of the internet of things can be hierarchically managed according to the importance degree level of the electrical equipment, required monitoring data of the internet of things can be highlighted, the data volume of real-time processing is reduced, and the final state evaluation result is also more accurate; according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, the monitoring data are subjected to duplicate removal, dimension reduction processing is carried out according to duplicate removal results to obtain processing monitoring data, due to the fact that a large amount of repetitive data exist in the monitoring data of the Internet of things, if the data cannot be subjected to duplicate removal processing at first, the data size can be increased when state evaluation is carried out at last, the efficiency of overall state evaluation is greatly slowed down, the requirement of the overall state evaluation on the real-time performance of the state evaluation is inconsistent with the requirement of the electrical equipment, the data are subjected to the duplicate removal processing, the final data size is reduced greatly, and the efficiency of the state evaluation is greatly improved.
In another possible embodiment, the electrical equipment is ranked in order of importance by taking into account historical preventative test data for the electrical equipment.
Historical preventive test data of the electrical equipment represent the recent equipment state of the electrical equipment, and for some electrical equipment, the test data is close to the qualified line standard, so that the monitoring frequency of the electrical equipment must be considered, the electrical equipment also belongs to common equipment which is easy to damage, and the historical preventive test data of the electrical equipment also needs to be considered when the electrical equipment is sorted according to the importance degree, so that the safe and reliable management of the electrical equipment can be further improved.
In another possible embodiment, as shown in fig. 2, the specific steps of ranking the importance degrees of the electrical devices to obtain the ranking result of the electrical devices include:
s11, according to the power grid node of the electrical equipment, scoring the electrical equipment based on the importance degree of the power grid node of the electrical equipment through an expert algorithm to obtain a node score, wherein the more important the power grid node of the electrical equipment is, the higher the node score of the electrical equipment is;
s12, according to the voltage grade of the electrical equipment, scoring the electrical equipment based on the voltage grade of the electrical equipment through an expert algorithm to obtain a voltage grade score, wherein the higher the voltage grade of the electrical equipment is, the higher the voltage grade score of the electrical equipment is;
s13, according to the equipment type of the electrical equipment, scoring the electrical equipment based on the importance degree of the equipment type of the electrical equipment through an expert algorithm to obtain an equipment type score, wherein the more important the equipment type of the electrical equipment is, the higher the equipment type score of the electrical equipment is;
s14, constructing a comprehensive evaluation score according to the node score, the voltage grade score and the equipment type score of the electrical equipment, and sequencing the electrical equipment based on the comprehensive evaluation score.
According to the power grid node of the electrical equipment, the electrical equipment is scored based on the importance degree of the power grid node of the electrical equipment through an expert algorithm to obtain a node score, so that the node condition of the electrical equipment can be considered, the more important the node is, the higher score needs to be given, the importance degree of different nodes can be clearly evaluated through the expert algorithm, and the score scoring of the node is realized on the basis again; according to the voltage grade of the electrical equipment, the electrical equipment is scored based on the voltage grade of the electrical equipment through an expert algorithm to obtain a voltage grade score, so that the voltage grade of the electrical equipment can be considered, the higher the voltage grade is, the higher the score needs to be given, and the scoring conditions of the electrical equipment with different voltage grades can be definitely determined through the expert algorithm; according to the equipment type of the electrical equipment, the electrical equipment is scored based on the importance degree of the equipment type of the electrical equipment through an expert algorithm to obtain an equipment type score, so that the electrical equipment type of the electrical equipment can be considered, the more important the electrical equipment type is, the higher the score needs to be given, and the scoring conditions of the electrical equipment of different electrical equipment types can be definitely determined through the expert algorithm; and constructing a comprehensive evaluation score according to the node score, the voltage grade score and the equipment type score of the electrical equipment, and sequencing the electrical equipment based on the comprehensive evaluation score, so that various factors can be comprehensively considered in sequencing, and the final sequencing result becomes more scientific.
In another possible embodiment, the specific formula of the composite evaluation score is:
X＝k 1 X 1 +k 2 X 2 +k 3 X 3
wherein X 1 、X 2 、X 3 Respectively node fraction, voltage class fraction, device type fraction, k 1 、k 2 、k 3 The node score weight coefficient, the voltage level score weight coefficient and the equipment type score weight coefficient are respectively.
By giving the weight coefficient of the node score, the weight coefficient of the voltage grade score and the weight coefficient of the equipment type score, the contribution degrees of different factors in the process of obtaining the final comprehensive evaluation score are different, and the final comprehensive evaluation score is close to the actual condition, so that the final comprehensive evaluation score is more accurate.
In another possible embodiment, the weight coefficient of the node score, the weight coefficient of the voltage level score and the weight coefficient of the equipment type score are related to the voltage level of the power grid and the power transmission and distribution mode, and are determined by experts.
The weight coefficients of the node scores, the weight coefficients of the voltage grade scores and the weight coefficients of the equipment type scores are different in different power transmission and distribution modes, for example, the importance degree of a transformer in a direct-current power transmission mode is far less important than that of a converter, while the importance degree of the transformer in an alternating-current power transmission mode is self-evident, the importance degrees of the transformers in power transmission and distribution networks with different voltage grades are different, so that the final evaluation result is more accurate by considering the factors, and a foundation is laid for accurate state evaluation.
In another possible embodiment, the ranking result is core electrical equipment when the comprehensive evaluation score of the electrical equipment is greater than a first threshold, important electrical equipment when the comprehensive evaluation score of the electrical equipment is greater than a second threshold, and general electrical equipment in the rest, and the first threshold and the second threshold are determined by experts on the basis of considering the number and occasions of the electrical equipment.
By setting the threshold value, the importance degree of the electrical equipment is distinguished, so that the importance degree evaluation of the electrical equipment adopts an accurate mathematical model instead of feeling or experience, and the evaluation result becomes more credible.
In another possible embodiment, the electrical device is configured with a local state evaluation device, wherein the internet of things monitoring device of the core electrical device uploads core monitoring data and a core evaluation result obtained based on the core monitoring data evaluation is uploaded by the local state evaluation device of the core electrical device; the monitoring equipment of the internet of things of the important electrical equipment uploads important monitoring data, and after the time is greater than a third threshold value, the local state evaluation equipment of the important electrical equipment uploads an important evaluation result obtained based on the evaluation of the important monitoring data; when the time is greater than the fourth threshold value, the local state evaluation device of the general electrical device uploads a general evaluation result obtained based on general monitoring data evaluation, and when the time is greater than the fifth threshold value, the internet of things monitoring device of the general electrical device uploads general monitoring data.
The data types uploaded at different importance degrees and the time threshold are determined, so that the frequency of the data uploaded at different importance degrees is limited, the data at different importance degrees are limited, the uploading of the monitoring data of the Internet of things becomes more stable and reliable, the monitoring of important equipment is increased, the fault state of the important electrical equipment can be determined at the first time, and the overall loss is lowest.
In another possible embodiment, when the state evaluation result of the electrical device is a fault, if the electrical device is a core electrical device, the uploading frequency of the core monitoring data and the core evaluation result is accelerated; if the monitoring data is important electrical equipment, the uploading frequency of the important monitoring data and the important evaluation result is accelerated; and if the equipment is common electrical equipment, the uploading frequency of the common monitoring data and the common evaluation result is accelerated.
When a fault occurs, the monitoring frequency of the electrical equipment is accelerated, so that the state of the fault electrical equipment is determined by an operator in time, the fault is removed as soon as possible, and the running state of the whole power grid state is more stable and reliable.
In another possible embodiment, as shown in fig. 3, the specific steps of the state evaluation are:
s21, sending the processing monitoring data of the electrical equipment into a state evaluation model constructed by an SVM algorithm optimized based on the Harris eagle algorithm, and determining the SVM state evaluation condition of the electrical equipment at the moment;
and S22, comprehensively evaluating the state condition of the electrical equipment according to the state evaluation condition of the SVM by combining the state evaluation result of the local state evaluation equipment of the electrical equipment to obtain a final state evaluation result.
The optimization of the kernel function of the SVM algorithm is realized by adopting the Harris eagle algorithm, so that the classification effect is greatly improved, the final fault state condition evaluation result is more reliable, and meanwhile, the final comprehensive evaluation result is obtained by combining the state evaluation result of the local state evaluation equipment of the electrical equipment, so that the evaluation result not only considers the result of the evaluation result, but also is more accurate by combining the local evaluation result.
Example 2
As shown in fig. 4, the invention provides an equipment state evaluation system based on multi-source data fusion of the power internet of things, and by using the above equipment state evaluation method based on multi-source data fusion of the power internet of things,
the system comprises an Internet of things data generation module, a data preprocessing module and a data analysis module;
the Internet of things data generation module is responsible for sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment; determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, and obtaining monitoring data of the Internet of things monitoring equipment of the electrical equipment;
the data preprocessing module is responsible for removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, and performing dimension reduction processing according to a duplicate removal result to obtain processed monitoring data;
and the data analysis module is responsible for constructing a state evaluation model and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
Example 3
The embodiment of the application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed in a computer, the computer is caused to execute the above device state evaluation method based on multi-source data fusion of the power internet of things.
Example 4
The embodiment of the application provides a computer program product, which is characterized in that the computer program product stores instructions, and when the instructions are executed by a computer, the computer implements the above device state evaluation method based on multi-source data fusion of the power internet of things.
In embodiments of the present invention, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "secured," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations.
In the description of the embodiments of the present invention, it should be understood that the terms "upper", "lower", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings, which are merely for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or units must have a specific direction, be configured and operated in a specific orientation, and thus, should not be construed as limiting the embodiments of the present invention.
In the description herein, the appearances of the phrase "one embodiment," "a preferred embodiment," or the like, are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the present embodiment by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.
Claims (10)
1. The device state evaluation method based on multi-source data fusion of the power internet of things is characterized by specifically comprising the following steps of:
s1, sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment;
s2, determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, wherein the sequencing result is different, the communication frequency is also different, and obtaining the monitoring data of the Internet of things monitoring equipment of the electrical equipment;
s3, removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, performing dimensionality reduction processing according to the duplicate removal result to obtain processing monitoring data, constructing a state evaluation model, and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
2. The equipment status assessment method according to claim 1, wherein said electrical equipment is further ranked in importance by taking into account historical preventative test data of said electrical equipment.
3. The equipment state evaluation method according to claim 1, wherein the specific step of ranking the importance degrees of the electrical equipment to obtain the ranking result of the electrical equipment comprises:
s11, according to the power grid node of the electrical equipment, scoring the electrical equipment based on the importance degree of the power grid node of the electrical equipment through an expert algorithm to obtain a node score, wherein the more important the power grid node of the electrical equipment is, the higher the node score of the electrical equipment is;
s12, according to the voltage grade of the electrical equipment, scoring the electrical equipment based on the voltage grade of the electrical equipment through an expert algorithm to obtain a voltage grade score, wherein the higher the voltage grade of the electrical equipment is, the higher the voltage grade score of the electrical equipment is;
s13, according to the equipment type of the electrical equipment, scoring the electrical equipment based on the importance degree of the equipment type of the electrical equipment through an expert algorithm to obtain an equipment type score, wherein the more important the equipment type of the electrical equipment is, the higher the equipment type score of the electrical equipment is;
s14, constructing a comprehensive evaluation score according to the node score, the voltage grade score and the equipment type score of the electrical equipment, and sequencing the electrical equipment based on the comprehensive evaluation score.
4. The equipment state assessment method according to claim 3, wherein the specific formula of the composite evaluation score is:
X＝k 1 X 1 +k 2 X 2 +k 3 X 3
wherein X 1 、X 2 、X 3 Respectively node fraction, voltage class fraction, device type fraction, k 1 、k 2 、k 3 The node score weight coefficient, the voltage level score weight coefficient and the equipment type score weight coefficient are respectively.
5. The equipment state assessment method according to claim 4, wherein the weight coefficient of the node score, the weight coefficient of the voltage class score, and the weight coefficient of the equipment type score are related to the voltage class of the power grid and the power transmission and distribution mode, and are determined by experts.
6. The device status evaluation method according to claim 3, wherein the ranking result is core electrical devices when the composite evaluation score of the electrical devices is greater than a first threshold, important electrical devices when the composite evaluation score of the electrical devices is greater than a second threshold, and general electrical devices as the rest, and the first threshold and the second threshold are determined by an expert in consideration of the number and occasion of the electrical devices.
7. The device state evaluation method according to claim 6, wherein an electrical device is configured with a local state evaluation device, wherein an internet of things monitoring device of a core electrical device uploads core monitoring data and a core evaluation result evaluated based on the core monitoring data is uploaded by the local state evaluation device of the core electrical device; the monitoring equipment of the internet of things of the important electrical equipment uploads important monitoring data, and after the time is greater than a third threshold value, the local state evaluation equipment of the important electrical equipment uploads an important evaluation result obtained based on the evaluation of the important monitoring data; when the time is greater than the fourth threshold value, the local state evaluation device of the general electrical device uploads a general evaluation result obtained based on general monitoring data evaluation, and when the time is greater than the fifth threshold value, the internet of things monitoring device of the general electrical device uploads general monitoring data.
8. The equipment state evaluation method according to claim 6, wherein when the state evaluation result of the electrical equipment is a fault, if the state evaluation result is a core electrical equipment, the uploading frequency of the core monitoring data and the core evaluation result is accelerated; if the monitoring data is important electrical equipment, the uploading frequency of the important monitoring data and the important evaluation result is accelerated; and if the equipment is common electrical equipment, the uploading frequency of the common monitoring data and the common evaluation result is accelerated.
9. The device status evaluation method according to claim 1, wherein the status evaluation comprises the following specific steps:
s21, sending the processing monitoring data of the electrical equipment into a state evaluation model constructed by an SVM algorithm optimized based on the Harris eagle algorithm, and determining the SVM state evaluation condition of the electrical equipment at the moment;
and S22, comprehensively evaluating the state condition of the electrical equipment according to the state evaluation condition of the SVM by combining the state evaluation result of the local state evaluation equipment of the electrical equipment to obtain a final state evaluation result.
10. An equipment state evaluation system based on multi-source data fusion of the power internet of things adopts the equipment state evaluation method based on multi-source data fusion of the power internet of things of any one of claims 1 to 9, and is characterized in that:
the system comprises an Internet of things data generation module, a data preprocessing module and a data analysis module;
the Internet of things data generation module is responsible for sorting the importance degrees of the electrical equipment according to the power grid node, the voltage grade and the equipment type of the electrical equipment to obtain a sorting result of the electrical equipment; determining the communication frequency of the Internet of things monitoring equipment of the electrical equipment according to the sequencing result of the electrical equipment, and obtaining monitoring data of the Internet of things monitoring equipment of the electrical equipment;
the data preprocessing module is responsible for removing the duplicate of the monitoring data according to the monitoring data of the monitoring equipment of the Internet of things of the electrical equipment, and performing dimension reduction processing according to a duplicate removal result to obtain processed monitoring data;
and the data analysis module is responsible for constructing a state evaluation model and sending the processing monitoring data to the state evaluation model to obtain a final state evaluation result of the electrical equipment.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116310258A (en) * | 2023-03-23 | 2023-06-23 | 浙江省送变电工程有限公司 | Three-dimensional construction management system and method based on transformer substation live-action |
| CN117271610A (en) * | 2023-11-17 | 2023-12-22 | 深圳曼顿科技有限公司 | Device state management method, device, terminal device and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116310258A (en) * | 2023-03-23 | 2023-06-23 | 浙江省送变电工程有限公司 | Three-dimensional construction management system and method based on transformer substation live-action |
| CN116310258B (en) * | 2023-03-23 | 2024-04-09 | 浙江省送变电工程有限公司 | Three-dimensional construction management system and method based on transformer substation live-action |
| CN117271610A (en) * | 2023-11-17 | 2023-12-22 | 深圳曼顿科技有限公司 | Device state management method, device, terminal device and storage medium |
| CN117271610B (en) * | 2023-11-17 | 2024-03-12 | 深圳曼顿科技有限公司 | Device state management method, device, terminal device and storage medium |
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