CN116846083B - Power distribution monitoring method and system based on operation and maintenance of Internet of things - Google Patents
Power distribution monitoring method and system based on operation and maintenance of Internet of things Download PDFInfo
- Publication number
- CN116846083B CN116846083B CN202311120112.6A CN202311120112A CN116846083B CN 116846083 B CN116846083 B CN 116846083B CN 202311120112 A CN202311120112 A CN 202311120112A CN 116846083 B CN116846083 B CN 116846083B
- Authority
- CN
- China
- Prior art keywords
- power
- power distribution
- unit
- distribution system
- distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 97
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012423 maintenance Methods 0.000 title claims abstract description 18
- 230000008859 change Effects 0.000 claims abstract description 143
- 230000002159 abnormal effect Effects 0.000 claims abstract description 34
- 230000005611 electricity Effects 0.000 claims description 70
- 238000001514 detection method Methods 0.000 claims description 42
- 238000012163 sequencing technique Methods 0.000 claims description 12
- 238000005265 energy consumption Methods 0.000 claims description 9
- 238000010835 comparative analysis Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 238000004458 analytical method Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00002—Circuit 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 monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00004—Circuit 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 the power network being locally controlled
Abstract
The invention relates to the technical field of power distribution monitoring and discloses a power distribution monitoring method and system based on operation and maintenance of the Internet of things; according to the invention, the actual total power supply and the theoretical total power consumption of the power distribution system are respectively obtained through data acquisition of the power supply unit and each power utilization unit, so that the extra power consumption of the power distribution system is obtained, the real-time temperature acquisition of each power utilization unit is used for generating an actual working temperature change curve, and the actual working temperature change curve is compared with the corresponding theoretical working temperature change curve, so that the working bias parameters of each power utilization unit are generated, the distribution bias characteristic distribution of the power distribution system is calculated and obtained, the influence of each power utilization unit in the power distribution system on the working state normal degree of the whole power distribution system can be checked according to the distribution bias characteristic distribution, and the real-time monitoring of the working state of each power utilization unit in the power distribution system is realized, and the problem that the power utilization device with abnormal working cannot be timely detected in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of power distribution monitoring, in particular to a power distribution monitoring method and system based on operation and maintenance of the Internet of things.
Background
A power distribution system is a system for distributing and providing electric energy to each electric device, and when the power distribution system operates, there is a problem that the power distribution system is totally abnormal due to the abnormal operation of the electric devices, so that the power distribution system needs to be monitored.
Currently, monitoring of a power distribution system is generally limited to detecting the power supply amount of the power distribution system, and the detection method cannot timely detect a power utilization device with abnormal operation.
Disclosure of Invention
The invention aims to provide a power distribution monitoring method and system based on operation and maintenance of the Internet of things, and aims to solve the problem that in the prior art, a power utilization device with abnormal operation cannot be timely detected.
The invention is realized in such a way, and in a first aspect, the invention provides a power distribution monitoring method based on operation and maintenance of the internet of things, which comprises the following steps:
basic information and connection relations between a power supply unit and a plurality of power utilization units of the power distribution system are obtained, and a power distribution monitoring basic model is built according to the basic information and connection relations between the power supply unit and the plurality of power utilization units;
continuously collecting data of the use time length of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to basic information and the use time length of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
Continuously collecting power supply data of the power supply unit to generate actual total power supply of the power distribution system, and calculating and acquiring extra loss power of the power distribution system according to theoretical total power consumption and the actual total power supply of the power distribution system;
according to basic information of each power utilization unit, a theoretical working temperature change curve corresponding to each power utilization unit is called from a preset database, data acquisition is continuously carried out on real-time temperatures of each power utilization unit, so that actual working temperature change curves of each power utilization unit are generated, and working bias parameters of each power utilization unit are obtained through calculation according to the theoretical working temperature change curves and the actual working temperature change curves of each power utilization unit;
substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and acquire power distribution bias characteristic distribution of the power distribution system, wherein the power distribution bias characteristic distribution is used for detecting whether the power distribution system is in a normal working state or not so as to realize power distribution monitoring of the power distribution system.
Preferably, the step of obtaining basic information and connection relations between the power supply unit and the plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations between the power supply unit and the plurality of power utilization units includes:
Based on the electric connection between the power supply unit and each power utilization unit of the power distribution system, acquiring basic information and connection relation between the power supply unit and each power utilization unit;
generating a power supply unit basic model according to the basic information of the power supply unit, generating a power utilization unit basic model according to the basic information of the power utilization unit, and combining the power supply unit basic model and each power utilization unit basic model according to the connection relation between the power supply unit and each power utilization unit so as to construct the power distribution monitoring basic model.
Preferably, the step of continuously collecting data of the usage time of each electricity consumption unit, generating theoretical usage electricity quantity of each electricity consumption unit according to basic information and the usage time of each electricity consumption unit, and integrating the theoretical usage electricity quantity of each electricity consumption unit based on the distribution monitoring basic model to generate theoretical usage total electricity quantity of the distribution system includes:
according to the basic information of the electricity utilization unit, the working energy consumption power of the corresponding electricity utilization unit is called from a preset database;
continuously collecting the working states of the electricity utilization units, and sequencing the collected working states in time sequence to obtain the using time of the electricity utilization units;
Calculating and obtaining theoretical electricity consumption of the electricity utilization unit according to the working energy consumption and the use time of the electricity utilization unit;
and integrating and calculating the theoretical electric consumption of each electric consumption unit according to the connection relation between each electric consumption unit in the power distribution monitoring basic model to obtain the theoretical total electric consumption of the power distribution system.
Preferably, the step of retrieving a theoretical operating temperature change curve corresponding to each power consumption unit from a preset database according to basic information of each power consumption unit, continuously collecting data of real-time temperatures of each power consumption unit to generate an actual operating temperature change curve of each power consumption unit, and calculating and obtaining operation bias parameters of each power consumption unit according to the theoretical operating temperature change curve and the actual operating temperature change curve of each power consumption unit includes:
according to the basic information of the electricity utilization unit, the theoretical working temperature change curve corresponding to the electricity utilization unit is called from a preset database;
continuously collecting data of real-time temperatures of all the power utilization units, and sequencing and connecting the collected real-time temperatures according to time sequence to generate the actual working temperature change curve of each power utilization unit;
Calculating the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve respectively, calculating the difference between the change amplitudes of the theoretical working temperature change curve and the actual working temperature change curve, and taking the difference as the working bias parameter; the change amplitude comprises a unit time change amplitude and an integral change amplitude, wherein the unit time change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in unit time, and the integral change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in integral time.
Preferably, the step of substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and obtain the power distribution bias characteristic distribution of the power distribution system includes:
counting the working bias parameters of each power utilization unit, and calculating the ratio relation between the working bias parameters;
distributing the extra-loss electric quantity to each power utilization unit according to the ratio relation, and taking the extra-loss electric quantity distributed to each power utilization unit as a power distribution bias characteristic of each power utilization unit;
And giving the distribution preference characteristics of each power utilization unit to the distribution monitoring basic model, and generating distribution preference characteristic distribution of the distribution system.
Preferably, the method further comprises:
binding the acquisition time of the power distribution abnormal characteristic distribution with the power distribution abnormal characteristic distribution, and sequencing the power distribution abnormal characteristic distribution bound with the acquisition time according to a time sequence to generate a characteristic distribution sequence;
dividing the characteristic distribution sequence into a plurality of detection paragraphs according to a preset unit time, analyzing the variation trend of the distribution characteristic distribution based on the detection paragraphs, and comparing and analyzing the obtained variation trend of each detection paragraph to obtain a first difference characteristic among the variation trends of each detection paragraph;
selecting detection time points from the characteristic distribution sequence at intervals of preset detection time, and carrying out comparative analysis on distribution abnormal characteristic distribution of each detection time point to obtain second difference characteristics of each detection time point;
the first difference characteristic and the second difference characteristic are respectively analyzed according to preset standards, and the first difference characteristic and the second difference characteristic are used for analyzing the change degree of the working state of the power distribution system so as to judge the working state of the power distribution system
In a second aspect, the present invention provides a power distribution monitoring system based on operation and maintenance of the internet of things, including:
the model construction unit is used for acquiring basic information and connection relations of a power supply unit and a plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations of the power supply unit and the plurality of power utilization units;
the theoretical calculation unit is used for continuously collecting the use time interval of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to the basic information and the use time interval of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
the loss calculation unit is used for continuously collecting the power supply data of the power supply unit to generate the actual total power supply of the power distribution system, and calculating and acquiring the extra loss power of the power distribution system according to the theoretical total power consumption and the actual total power supply of the power distribution system;
the temperature calculation unit is used for calling theoretical working temperature change curves corresponding to the power utilization units from a preset database according to basic information of the power utilization units, continuously collecting real-time temperatures of the power utilization units to generate actual working temperature change curves of the power utilization units, and calculating and obtaining working bias parameters of the power utilization units according to the theoretical working temperature change curves and the actual working temperature change curves of the power utilization units;
And the model supplementing unit is used for substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model so as to calculate and acquire the power distribution bias characteristic distribution of the power distribution system and realize the power distribution monitoring of the power distribution system.
The invention provides a power distribution monitoring method based on operation and maintenance of the Internet of things, which has the following beneficial effects:
according to the invention, the actual total supplied electric quantity and the theoretical total used electric quantity of the power distribution system are respectively acquired through data acquisition of the power supply unit and each power utilization unit, so that the extra-loss electric quantity of the power distribution system is acquired, the normal degree of the whole working state of the power distribution system is judged, an actual working temperature change curve is generated through real-time temperature acquisition of each power utilization unit and is compared with a corresponding theoretical working temperature change curve, the working bias parameters of each power utilization unit are generated, the distribution bias characteristic distribution of the power distribution system can be calculated and acquired based on the extra-loss electric quantity and the working bias parameters, and the influence of each power utilization unit in the power distribution system on the normal degree of the working state of the whole power distribution system can be checked according to the distribution bias characteristic distribution, so that the real-time monitoring of the working state of each power utilization unit in the power distribution system is realized, and the problem that the power utilization device with abnormal working cannot be timely detected in the prior art is solved.
Drawings
Fig. 1 is a schematic step diagram of a power distribution monitoring method based on operation and maintenance of the internet of things according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a power distribution monitoring system based on operation and maintenance of the internet of things according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that, if there is an azimuth or positional relationship indicated by terms such as "upper", "lower", "left", "right", etc., based on the azimuth or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not indicated or implied that the apparatus or element referred to must have a specific azimuth, be constructed and operated in a specific azimuth, and thus terms describing the positional relationship in the drawings are merely illustrative and should not be construed as limitations of the present patent, and specific meanings of the terms described above may be understood by those skilled in the art according to specific circumstances.
The implementation of the present invention will be described in detail below with reference to specific embodiments.
Referring to fig. 1 and 2, a preferred embodiment of the present invention is provided.
In a first aspect, the present invention provides a power distribution monitoring method based on operation and maintenance of the internet of things, including:
s1: basic information and connection relations between a power supply unit and a plurality of power utilization units of the power distribution system are obtained, and a power distribution monitoring basic model is built according to the basic information and connection relations between the power supply unit and the plurality of power utilization units;
s2: continuously collecting data of the use time length of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to basic information and the use time length of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
s3: continuously collecting power supply data of the power supply unit to generate actual total power supply of the power distribution system, and calculating and acquiring extra loss power of the power distribution system according to theoretical total power consumption and the actual total power supply of the power distribution system;
s4: according to basic information of each power utilization unit, a theoretical working temperature change curve corresponding to each power utilization unit is called from a preset database, data acquisition is continuously carried out on real-time temperatures of each power utilization unit, so that actual working temperature change curves of each power utilization unit are generated, and working bias parameters of each power utilization unit are obtained through calculation according to the theoretical working temperature change curves and the actual working temperature change curves of each power utilization unit;
S5: substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and acquire power distribution bias characteristic distribution of the power distribution system, wherein the power distribution bias characteristic distribution is used for detecting whether the power distribution system is in a normal working state or not so as to realize power distribution monitoring of the power distribution system.
Specifically, the power distribution system is divided into a power supply unit and a plurality of power utilization units, wherein the power supply unit is a device for providing electric energy, the power utilization unit is a device for using the electric energy, and generally, the power supply unit can be a power distribution cabinet.
More specifically, in order to realize the monitoring of the power distribution system, the method adopted by the invention is to construct a power distribution monitoring basic model, collect data later to be substituted into the model for analysis, and the power distribution monitoring basic model is used for describing the connection relation of the power distribution system, so that the basic information and the connection relation of a power supply unit and a plurality of power utilization units of the power distribution system are required to be acquired first, and the power distribution monitoring basic model is constructed according to the basic information and the connection relation of the power supply unit and the plurality of power utilization units.
It should be noted that, the power distribution monitoring basic model is a model for describing connection relations between a power supply unit and a plurality of power utilization units and basic information, and the specific form is equivalent to: and respectively establishing independent models of the power supply unit and the plurality of power utilization units, and connecting the independent models according to the electric connection relation to construct the connection relation of the power distribution system, wherein each independent model carries basic information for describing the units.
More specifically, each independent unit of the power distribution monitoring basic model is further provided with a plurality of information fields for receiving external data, when the information fields receive the external data, the external data are calculated according to a calculation formula of the power distribution monitoring basic model, so that after the power distribution monitoring basic model is obtained, the actual total power supplied by the power supply unit and the theoretical total power used by each power utilization unit are obtained, the data are input into the corresponding information fields, so that the data are substituted into the power distribution monitoring basic model, the extra power consumption of the power distribution system is judged through the calculation of the difference value between the actual total power supplied and the theoretical total power used, and it is understood that the extra power consumption of the power distribution system represents the power consumption of the power distribution system beyond the theoretical total power used in actual work, and the extra power consumption can reflect whether the power distribution system works normally or not.
More specifically, the data of the real-time temperature is collected for each electricity consumption unit to generate an actual working temperature change curve of each electricity consumption unit, and the actual working temperature change curve can show the actual temperature change of each electricity consumption unit in actual working, which is a common phenomenon, and the temperature change of different electricity consumption units in a normal working state is different, that is, the theoretical working temperature change curve of each electricity consumption unit is different.
More specifically, according to the basic information of the power utilization units, the corresponding theoretical working temperature change curve can be called from the preset database, so that the theoretical working temperature change curve and the actual working temperature change curve are analyzed to obtain the working bias parameters of each power utilization unit, the working bias parameters are used for describing the difference value between the actual working state and the normal working state of the power utilization unit, and it is easy to see that the larger the difference value between the actual temperature change curve and the theoretical temperature change curve of the power utilization unit is, the larger the working bias parameters are.
In summary, the extra-loss electric quantity of the power distribution system and the working bias parameters of each power consumption unit can be obtained, wherein the extra-loss electric quantity of the power distribution system can reflect the difference between the whole actual working state and the normal working state of the power distribution system, and the working bias parameters of each power consumption unit can reflect the difference between the actual working state and the normal working state of each power distribution system in the power distribution system, so that the power distribution monitoring of the power distribution system can be realized through the extra-loss electric quantity and the working bias parameters.
More specifically, the power distribution monitoring basic model is a model describing connection relation of a power distribution system and describing basic information of each unit in the power distribution system, in the power distribution monitoring basic model, an independent model corresponding to each unit is provided with a plurality of information fields for inputting data and displaying wiring harnesses, and it is understood that the power distribution monitoring basic model can collect data and input the data into the corresponding information fields so as to calculate the data according to rules preset in the model, and the data finally obtained through calculation are distribution unusual characteristic distribution of the power distribution system.
It can be understood that the distribution bias characteristic distribution is used for detecting whether the distribution system is in a normal working state, specifically, the distribution bias characteristic distribution comprises bias characteristic values of each unit, and according to analysis and judgment of the bias characteristic values of each unit, a problem of which unit in the distribution system occurs can be timely perceived.
The invention provides a power distribution monitoring method based on operation and maintenance of the Internet of things, which has the following beneficial effects:
according to the invention, the actual total supplied electric quantity and the theoretical total used electric quantity of the power distribution system are respectively acquired through data acquisition of the power supply unit and each power utilization unit, so that the extra-loss electric quantity of the power distribution system is acquired, the normal degree of the whole working state of the power distribution system is judged, an actual working temperature change curve is generated through real-time temperature acquisition of each power utilization unit and is compared with a corresponding theoretical working temperature change curve, the working bias parameters of each power utilization unit are generated, the distribution bias characteristic distribution of the power distribution system can be calculated and acquired based on the extra-loss electric quantity and the working bias parameters, and the influence of each power utilization unit in the power distribution system on the normal degree of the working state of the whole power distribution system can be checked according to the distribution bias characteristic distribution, so that the real-time monitoring of the working state of each power utilization unit in the power distribution system is realized, and the problem that the power utilization device with abnormal working cannot be timely detected in the prior art is solved.
Preferably, the step of obtaining basic information and connection relations between the power supply unit and the plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations between the power supply unit and the plurality of power utilization units includes:
s11: based on the electric connection between the power supply unit and each power utilization unit of the power distribution system, acquiring basic information and connection relation between the power supply unit and each power utilization unit;
s12: generating a power supply unit basic model according to the basic information of the power supply unit, generating a power utilization unit basic model according to the basic information of the power utilization unit, and combining the power supply unit basic model and each power utilization unit basic model according to the connection relation between the power supply unit and each power utilization unit so as to construct the power distribution monitoring basic model.
Specifically, the power supply unit is a device for supplying electric energy to each power consumption unit, so that the power supply unit needs to be electrically connected with each power consumption unit, and the electric connection between the power supply unit and each power consumption unit can also transmit information, so that the basic information and connection relation between the power supply unit and each power consumption unit can be obtained through the electric connection between the power supply unit and each power consumption unit.
More specifically, the basic information is used for describing types and models of the power supply unit and the power utilization unit so as to identify the power supply unit and the power utilization unit, and accordingly corresponding data information is called from the database according to the identification result to construct a power supply unit basic model corresponding to the power supply unit and a power utilization unit basic model corresponding to the power utilization unit.
More specifically, the power supply unit basic model and the power consumption unit basic model represent a power supply unit and a power consumption unit, respectively, and the power supply unit basic model and the power consumption unit basic models can be combined based on a connection relationship between the power supply unit and each power consumption unit to construct a power distribution monitoring basic model.
More specifically, the power supply unit basic model and the power utilization unit basic model can be regarded as independent modules, and connection is performed between the independent modules according to the connection relationship between the power supply unit basic model and the power utilization unit basic model so as to represent the electrical connection relationship between the power supply unit basic model and the power utilization unit basic model, thereby completing construction of the power distribution monitoring basic model.
More specifically, each module in the power distribution monitoring base model has information fields for inputting data, which are used for receiving data and processing the data, and the processing rule for the data is determined by the connection relationship between each module in the power distribution monitoring base model.
It should be noted that, the power distribution monitoring basic model is used for providing a filled platform for the data collected later, that is, each model in the power distribution monitoring basic model represents a power supply unit and each power utilization unit, in the subsequent process, when the data of the power supply unit and the power utilization unit are obtained, the data can be distributed to the corresponding basic model in the power distribution monitoring basic model, and then analysis is performed based on the connection relation between each basic model in the power distribution monitoring basic model.
Preferably, the step of continuously collecting data of the usage time of each electricity consumption unit, generating theoretical usage electricity quantity of each electricity consumption unit according to basic information and the usage time of each electricity consumption unit, and integrating the theoretical usage electricity quantity of each electricity consumption unit based on the distribution monitoring basic model to generate theoretical usage total electricity quantity of the distribution system includes:
s21: according to the basic information of the electricity utilization unit, the working energy consumption power of the corresponding electricity utilization unit is called from a preset database;
s22: continuously collecting the working states of the electricity utilization units, and sequencing the collected working states in time sequence to obtain the using time of the electricity utilization units;
S23: calculating and obtaining theoretical electricity consumption of the electricity utilization unit according to the working energy consumption and the use time of the electricity utilization unit;
s24: and integrating and calculating the theoretical electric consumption of each electric consumption unit according to the connection relation between each electric consumption unit in the power distribution monitoring basic model to obtain the theoretical total electric consumption of the power distribution system.
Specifically, the basic information of the electricity unit is used for describing information such as the type and the model of the electricity unit, so that the working energy consumption power of the corresponding electricity unit can be called according to the basic information of the electricity unit, and the working energy consumption power is used for describing the electric energy consumption capability of the electricity unit in a normal working state.
More specifically, the working states of the electricity utilization units are continuously collected, the working states of the electricity utilization units are used for indicating that the electricity utilization units are in working states or non-working states, and the using time of the electricity utilization units at each time point can be obtained by continuously collecting the working states of the electricity utilization units and sequencing the collected working states according to time sequence.
It can be understood that the usage time length represents the total current operation time of the electricity unit, and the operation power consumption represents the electric energy required by the electricity unit to operate in unit time, so that the theoretical electricity consumption of the electricity unit can be calculated by multiplying the usage time length and the operation power consumption.
More specifically, since the power distribution monitoring base model has a plurality of power consumption units, the theoretical power consumption of each power consumption unit needs to be integrated according to the connection relationship between the power consumption units, so as to generate the theoretical total power consumption of the power distribution system.
Preferably, the step of retrieving a theoretical operating temperature change curve corresponding to each power consumption unit from a preset database according to basic information of each power consumption unit, continuously collecting data of real-time temperatures of each power consumption unit to generate an actual operating temperature change curve of each power consumption unit, and calculating and obtaining operation bias parameters of each power consumption unit according to the theoretical operating temperature change curve and the actual operating temperature change curve of each power consumption unit includes:
s41: according to the basic information of the electricity utilization unit, the theoretical working temperature change curve corresponding to the electricity utilization unit is called from a preset database;
s42: continuously collecting data of real-time temperatures of all the power utilization units, and sequencing and connecting the collected real-time temperatures according to time sequence to generate the actual working temperature change curve of each power utilization unit;
S43: calculating the difference between the change amplitudes of the theoretical working temperature change curve and the actual working temperature change curve, and taking the difference as the working bias parameter; the change amplitude comprises a unit time change amplitude and an integral change amplitude, wherein the unit time change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in unit time, and the integral change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in integral time.
Specifically, when the electricity unit is in operation, the electricity unit generates heat, and the heat generated by the electricity unit changes correspondingly along with the change of the operation time, and it is understood that in the normal operation state of different electricity units, the heat generated by the electricity unit along with the operation time has a certain rule, and the rule is a theoretical operation temperature change curve of the electricity unit.
More specifically, the theoretical operating temperature change curves of the power utilization units are pre-stored in a database, and the corresponding theoretical operating temperature change curves can be called in the database according to the basic information of the power utilization units.
More specifically, data collection of real-time temperatures is continuously performed on each power utilization unit, and collected real-time temperatures are sequenced and connected in time sequence to generate an actual working temperature change curve of each power utilization unit.
More specifically, the theoretical operating temperature change curve is a curve of temperature change of the electricity unit in a normal operating state, the actual operating temperature change curve is a curve of temperature change of the electricity unit in actual operation, and the operating bias parameter of the electricity unit, that is, the characteristic value indicating the normal degree of the operating state of the electricity unit, can be obtained by calculating the difference value of the change amplitude of the theoretical operating temperature change curve and the actual operating temperature change curve.
More specifically, the above-described variation amplitude includes two aspects: the unit time change amplitude and the whole change amplitude, wherein the unit time change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in unit time, and the whole change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in whole time.
More specifically, the unit time change width is a change width of the curve in a preset unit time, for example, the current time point is a, the preset time unit is B, and then the unit time change width at this time is a change width between a-B and a.
More specifically, the overall change amplitude refers to a curve change amplitude from the start of the operation to the detection point, for example, the start time of the operation is a, the current time point is B, and then the overall change amplitude is a change amplitude between a and B.
Preferably, the step of substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and obtain the power distribution bias characteristic distribution of the power distribution system includes:
s51: counting the working bias parameters of each power utilization unit, and calculating the ratio relation between the working bias parameters;
s52: distributing the extra-loss electric quantity to each power utilization unit according to the ratio relation, and taking the extra-loss electric quantity distributed to each power utilization unit as a power distribution bias characteristic of each power utilization unit;
s53: and giving the distribution preference characteristics of each power utilization unit to the distribution monitoring basic model, and generating distribution preference characteristic distribution of the distribution system.
Specifically, each power consumption unit has respective operation bias parameters, the operation bias parameters represent the normal degree of the actual operation state of each power consumption unit, and the extra power consumption represents the normal degree of the actual operation state of the whole power distribution system.
More specifically, working bias parameters of each power utilization unit are counted, and with respect to the ratio relation among the working bias parameters, extra power consumption is distributed to each power utilization unit according to the ratio relation so as to obtain power distribution bias characteristics of each power utilization unit.
More specifically, the power distribution bias characteristics of the power utilization units are endowed to the corresponding power utilization unit basic models in the power distribution monitoring basic model, so that power distribution bias characteristic distribution of the power distribution system is generated, that is, the power distribution bias characteristics bound with the power utilization unit basic models in the power distribution monitoring basic model can be checked based on the power distribution monitoring basic model substituting the power distribution bias characteristic distribution, and therefore the actual influence of the power utilization units in the distribution system on the normal working state of the power distribution system is judged, and the power distribution monitoring of the power distribution system is realized.
Preferably, the method further comprises:
s61: binding the acquisition time of the power distribution abnormal characteristic distribution with the power distribution abnormal characteristic distribution, and sequencing the power distribution abnormal characteristic distribution bound with the acquisition time according to a time sequence to generate a characteristic distribution sequence;
s62: dividing the characteristic distribution sequence into a plurality of detection paragraphs according to a preset unit time, analyzing the variation trend of the distribution characteristic distribution based on the detection paragraphs, and comparing and analyzing the obtained variation trend of each detection paragraph to obtain a first difference characteristic among the variation trends of each detection paragraph;
s63: selecting detection time points from the characteristic distribution sequence at intervals of preset detection time, and carrying out comparative analysis on distribution abnormal characteristic distribution of each detection time point to obtain second difference characteristics of each detection time point;
s64: and respectively analyzing the first difference characteristic and the second difference characteristic according to a preset standard, wherein the first difference characteristic and the second difference characteristic are used for analyzing the change degree of the working state of the power distribution system so as to judge the working state of the power distribution system.
In particular, the distribution bias characteristic distribution is used to indicate the degree of normality of the operating state of the distribution system at the current point in time, and it is understood that when the distribution bias degree is kept within a certain range, the distribution bias degree can be considered to be at the degree of normality, that is, even if the operating state of the distribution bias characteristic distribution is at the degree of normality, there is a difference that is the degree of approach between the operating state and the abnormal state.
More specifically, when the distribution abnormal characteristic distribution is in a state close to abnormal state for a long time, which represents that the distribution system has abnormal risk, in order to avoid the risk, the invention adopts a method of binding the acquisition time of the distribution abnormal characteristic distribution with the distribution abnormal characteristic distribution, and sequencing the distribution abnormal characteristic distribution with the acquisition time according to the time sequence to generate a characteristic distribution sequence, and judging whether the working state of the distribution system is in a state close to abnormal state by analyzing the data of the characteristic distribution sequence.
More specifically, the data analysis method for the characteristic distribution sequence comprises the following steps: dividing the characteristic distribution sequence into a plurality of detection paragraphs according to a preset unit time, analyzing the variation trend of the distribution unusual characteristic distribution based on the detection paragraphs, and comparing and analyzing the variation trend of each obtained detection paragraph to obtain a first difference characteristic among the variation trends of each detection paragraph; selecting detection time points from the characteristic distribution sequence at intervals of preset detection time, and comparing and analyzing distribution unusual characteristic distribution of each detection time point to obtain second difference characteristics of each detection time point; and respectively analyzing the first difference characteristic and the second difference characteristic according to a preset standard, wherein the first difference characteristic and the second difference characteristic are used for analyzing the change degree of the working state of the power distribution system so as to judge the working state of the power distribution system.
It can be appreciated that the first difference feature is used for continuously analyzing the working state of the power distribution system, and the second difference feature is used for intermittently analyzing the working state of the power distribution system, more specifically, when the first difference feature and the second difference feature both show large fluctuation, the working state of the power distribution system is unstable, and when the first difference feature and the second difference feature feed back the working state of the power distribution system to approach gradually towards the abnormal state, the change trend of the first difference feature and the second difference feature can be used for predicting when the power distribution system enters the abnormal working state in the future, so as to realize the prevention of the abnormal working state of the power distribution system.
In a second aspect, referring to fig. 2, the present invention provides a power distribution monitoring system based on operation and maintenance of the internet of things, including:
the model construction unit is used for acquiring basic information and connection relations of a power supply unit and a plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations of the power supply unit and the plurality of power utilization units;
the theoretical calculation unit is used for continuously collecting the use time interval of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to the basic information and the use time interval of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
The loss calculation unit is used for continuously collecting the power supply data of the power supply unit to generate the actual total power supply of the power distribution system, and calculating and acquiring the extra loss power of the power distribution system according to the theoretical total power consumption and the actual total power supply of the power distribution system;
the temperature calculation unit is used for calling theoretical working temperature change curves corresponding to the power utilization units from a preset database according to basic information of the power utilization units, continuously collecting real-time temperatures of the power utilization units to generate actual working temperature change curves of the power utilization units, and calculating and obtaining working bias parameters of the power utilization units according to the theoretical working temperature change curves and the actual working temperature change curves of the power utilization units;
and the model supplementing unit is used for substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model so as to calculate and acquire the power distribution bias characteristic distribution of the power distribution system and realize the power distribution monitoring of the power distribution system.
The above units operate according to the power distribution monitoring method based on the operation and maintenance of the internet of things provided in the first aspect, and the detailed actions of the units are referred to in each step of the first aspect, which is not described herein.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (5)
1. The power distribution monitoring method based on the operation and maintenance of the Internet of things is characterized by comprising the following steps of:
basic information and connection relations between a power supply unit and a plurality of power utilization units of the power distribution system are obtained, and a power distribution monitoring basic model is built according to the basic information and connection relations between the power supply unit and the plurality of power utilization units;
continuously collecting data of the use time length of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to basic information and the use time length of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
continuously collecting power supply data of the power supply unit to generate actual total power supply of the power distribution system, and calculating and acquiring extra loss power of the power distribution system according to theoretical total power consumption and the actual total power supply of the power distribution system;
According to basic information of each power utilization unit, a theoretical working temperature change curve corresponding to each power utilization unit is called from a preset database, data acquisition is continuously carried out on real-time temperatures of each power utilization unit, so that actual working temperature change curves of each power utilization unit are generated, and working bias parameters of each power utilization unit are obtained through calculation according to the theoretical working temperature change curves and the actual working temperature change curves of each power utilization unit;
substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and acquire power distribution bias characteristic distribution of the power distribution system, wherein the power distribution bias characteristic distribution is used for detecting whether the power distribution system is in a normal working state or not so as to realize power distribution monitoring of the power distribution system; substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and acquire the power distribution bias characteristic distribution of the power distribution system, wherein the step of calculating and acquiring the power distribution bias characteristic distribution comprises the following steps of:
counting the working bias parameters of each power utilization unit, and calculating the ratio relation between the working bias parameters;
Distributing the extra-loss electric quantity to each power utilization unit according to the ratio relation, and taking the extra-loss electric quantity distributed to each power utilization unit as a power distribution bias characteristic of each power utilization unit;
the step of performing power distribution monitoring on the power distribution system according to the power distribution unusual characteristic distribution comprises the following steps:
assigning the power distribution preference characteristics of each power utilization unit to the power distribution monitoring basic model, and generating the power distribution preference characteristic distribution of the power distribution system;
binding the acquisition time of the power distribution abnormal characteristic distribution with the power distribution abnormal characteristic distribution, and sequencing the power distribution abnormal characteristic distribution bound with the acquisition time according to a time sequence to generate a characteristic distribution sequence;
dividing the characteristic distribution sequence into a plurality of detection paragraphs according to a preset unit time, analyzing the variation trend of the distribution characteristic distribution based on the detection paragraphs, and comparing and analyzing the obtained variation trend of each detection paragraph to obtain a first difference characteristic among the variation trends of each detection paragraph;
selecting detection time points from the characteristic distribution sequence at intervals of preset detection time, and carrying out comparative analysis on distribution abnormal characteristic distribution of each detection time point to obtain second difference characteristics of each detection time point;
And respectively analyzing the first difference characteristic and the second difference characteristic according to a preset standard, wherein the first difference characteristic and the second difference characteristic are used for analyzing the change degree of the working state of the power distribution system so as to judge the working state of the power distribution system.
2. The power distribution monitoring method based on the operation and maintenance of the internet of things according to claim 1, wherein the steps of obtaining basic information and connection relations between a power supply unit and a plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations between the power supply unit and the plurality of power utilization units comprise:
based on the electric connection between the power supply unit and each power utilization unit of the power distribution system, acquiring basic information and connection relation between the power supply unit and each power utilization unit;
generating a power supply unit basic model according to the basic information of the power supply unit, generating a power utilization unit basic model according to the basic information of the power utilization unit, and combining the power supply unit basic model and each power utilization unit basic model according to the connection relation between the power supply unit and each power utilization unit so as to construct the power distribution monitoring basic model.
3. The power distribution monitoring method based on operation and maintenance of the internet of things according to claim 1, wherein the step of continuously collecting data of the use time periods of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to basic information of each power utilization unit and the use time periods, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system comprises the following steps:
according to the basic information of the electricity utilization unit, the working energy consumption power of the corresponding electricity utilization unit is called from a preset database;
continuously collecting the working states of the electricity utilization units, and sequencing the collected working states in time sequence to obtain the using time of the electricity utilization units;
calculating and obtaining theoretical electricity consumption of the electricity utilization unit according to the working energy consumption and the use time of the electricity utilization unit;
and integrating and calculating the theoretical electric consumption of each electric consumption unit according to the connection relation between each electric consumption unit in the power distribution monitoring basic model to obtain the theoretical total electric consumption of the power distribution system.
4. The power distribution monitoring method based on operation and maintenance of the internet of things according to claim 1, wherein the steps of retrieving theoretical operating temperature change curves corresponding to the power utilization units from a preset database according to basic information of the power utilization units, continuously collecting real-time temperatures of the power utilization units to generate actual operating temperature change curves of the power utilization units, and calculating and obtaining operation bias parameters of the power utilization units according to the theoretical operating temperature change curves and the actual operating temperature change curves of the power utilization units comprise:
according to the basic information of the electricity utilization unit, the theoretical working temperature change curve corresponding to the electricity utilization unit is called from a preset database;
continuously collecting data of real-time temperatures of all the power utilization units, and sequencing and connecting the collected real-time temperatures according to time sequence to generate the actual working temperature change curve of each power utilization unit;
calculating the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve respectively, calculating the difference between the change amplitudes of the theoretical working temperature change curve and the actual working temperature change curve, and taking the difference as the working bias parameter; the change amplitude comprises a unit time change amplitude and an integral change amplitude, wherein the unit time change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in unit time, and the integral change amplitude is the change amplitude of the theoretical working temperature change curve and the actual working temperature change curve in integral time.
5. Power distribution monitoring system based on thing networking fortune dimension, its characterized in that includes:
the model construction unit is used for acquiring basic information and connection relations of a power supply unit and a plurality of power utilization units of the power distribution system, and constructing a power distribution monitoring basic model according to the basic information and connection relations of the power supply unit and the plurality of power utilization units;
the theoretical calculation unit is used for continuously collecting the use time interval of each power utilization unit, generating theoretical use electric quantity of each power utilization unit according to the basic information and the use time interval of each power utilization unit, and integrating the theoretical use electric quantity of each power utilization unit based on the power distribution monitoring basic model to generate theoretical use total electric quantity of the power distribution system;
the loss calculation unit is used for continuously collecting the power supply data of the power supply unit to generate the actual total power supply of the power distribution system, and calculating and acquiring the extra loss power of the power distribution system according to the theoretical total power consumption and the actual total power supply of the power distribution system;
the temperature calculation unit is used for calling theoretical working temperature change curves corresponding to the power utilization units from a preset database according to basic information of the power utilization units, continuously collecting real-time temperatures of the power utilization units to generate actual working temperature change curves of the power utilization units, and calculating and obtaining working bias parameters of the power utilization units according to the theoretical working temperature change curves and the actual working temperature change curves of the power utilization units;
The model supplementing unit is used for substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model so as to calculate and acquire the power distribution bias characteristic distribution of the power distribution system and realize the power distribution monitoring of the power distribution system; substituting the extra-loss electric quantity of the power distribution system and the working bias parameters of each power utilization unit into the power distribution monitoring basic model to calculate and acquire the power distribution bias characteristic distribution of the power distribution system, wherein the step of calculating and acquiring the power distribution bias characteristic distribution comprises the following steps of:
counting the working bias parameters of each power utilization unit, and calculating the ratio relation between the working bias parameters;
distributing the extra-loss electric quantity to each power utilization unit according to the ratio relation, and taking the extra-loss electric quantity distributed to each power utilization unit as a power distribution bias characteristic of each power utilization unit;
the step of performing power distribution monitoring on the power distribution system according to the power distribution unusual characteristic distribution comprises the following steps:
assigning the power distribution preference characteristics of each power utilization unit to the power distribution monitoring basic model, and generating the power distribution preference characteristic distribution of the power distribution system;
Binding the acquisition time of the power distribution abnormal characteristic distribution with the power distribution abnormal characteristic distribution, and sequencing the power distribution abnormal characteristic distribution bound with the acquisition time according to a time sequence to generate a characteristic distribution sequence;
dividing the characteristic distribution sequence into a plurality of detection paragraphs according to a preset unit time, analyzing the variation trend of the distribution characteristic distribution based on the detection paragraphs, and comparing and analyzing the obtained variation trend of each detection paragraph to obtain a first difference characteristic among the variation trends of each detection paragraph;
selecting detection time points from the characteristic distribution sequence at intervals of preset detection time, and carrying out comparative analysis on distribution abnormal characteristic distribution of each detection time point to obtain second difference characteristics of each detection time point;
and respectively analyzing the first difference characteristic and the second difference characteristic according to a preset standard, wherein the first difference characteristic and the second difference characteristic are used for analyzing the change degree of the working state of the power distribution system so as to judge the working state of the power distribution system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311120112.6A CN116846083B (en) | 2023-09-01 | 2023-09-01 | Power distribution monitoring method and system based on operation and maintenance of Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311120112.6A CN116846083B (en) | 2023-09-01 | 2023-09-01 | Power distribution monitoring method and system based on operation and maintenance of Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116846083A CN116846083A (en) | 2023-10-03 |
| CN116846083B true CN116846083B (en) | 2023-12-19 |
Family
ID=88160281
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311120112.6A Active CN116846083B (en) | 2023-09-01 | 2023-09-01 | Power distribution monitoring method and system based on operation and maintenance of Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116846083B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254256A (en) * | 2011-07-21 | 2011-11-23 | 福建省电力有限公司福州电业局 | Transmission and distribution network integration comprehensive line loss management analysis system and processing flow thereof |
| CN105427198A (en) * | 2015-12-31 | 2016-03-23 | 国网浙江奉化市供电公司 | Remote monitoring method and remote monitoring system for electric power consumption data |
| CN106682818A (en) * | 2016-12-12 | 2017-05-17 | 国网北京市电力公司 | Power distribution network information processing method and apparatus |
| KR20170060361A (en) * | 2015-11-24 | 2017-06-01 | 주식회사 인코어드 테크놀로지스 | Device for analyzing power demands and system comprising the same |
| CN112907062A (en) * | 2021-02-08 | 2021-06-04 | 国网安徽省电力有限公司蚌埠供电公司 | Power grid electric quantity prediction method, device, medium and terminal integrating temperature characteristics |
| CN113904448A (en) * | 2021-10-26 | 2022-01-07 | 珠海康晋电气股份有限公司 | Intelligent power distribution operation and maintenance service system based on multi-dimensional monitoring |
| CN113918642A (en) * | 2021-11-18 | 2022-01-11 | 贵州电网有限责任公司 | Data filtering, monitoring and early warning method based on power Internet of things equipment |
| CN115794578A (en) * | 2022-11-14 | 2023-03-14 | 南方电网数字电网研究院有限公司 | Data management method, device, equipment and medium for power system |
| CN116131468A (en) * | 2023-04-18 | 2023-05-16 | 国网浙江省电力有限公司宁波供电公司 | Real-time dynamic monitoring method and system for electric power system based on Internet of things |
-
2023
- 2023-09-01 CN CN202311120112.6A patent/CN116846083B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102254256A (en) * | 2011-07-21 | 2011-11-23 | 福建省电力有限公司福州电业局 | Transmission and distribution network integration comprehensive line loss management analysis system and processing flow thereof |
| KR20170060361A (en) * | 2015-11-24 | 2017-06-01 | 주식회사 인코어드 테크놀로지스 | Device for analyzing power demands and system comprising the same |
| CN105427198A (en) * | 2015-12-31 | 2016-03-23 | 国网浙江奉化市供电公司 | Remote monitoring method and remote monitoring system for electric power consumption data |
| CN106682818A (en) * | 2016-12-12 | 2017-05-17 | 国网北京市电力公司 | Power distribution network information processing method and apparatus |
| CN112907062A (en) * | 2021-02-08 | 2021-06-04 | 国网安徽省电力有限公司蚌埠供电公司 | Power grid electric quantity prediction method, device, medium and terminal integrating temperature characteristics |
| CN113904448A (en) * | 2021-10-26 | 2022-01-07 | 珠海康晋电气股份有限公司 | Intelligent power distribution operation and maintenance service system based on multi-dimensional monitoring |
| CN113918642A (en) * | 2021-11-18 | 2022-01-11 | 贵州电网有限责任公司 | Data filtering, monitoring and early warning method based on power Internet of things equipment |
| CN115794578A (en) * | 2022-11-14 | 2023-03-14 | 南方电网数字电网研究院有限公司 | Data management method, device, equipment and medium for power system |
| CN116131468A (en) * | 2023-04-18 | 2023-05-16 | 国网浙江省电力有限公司宁波供电公司 | Real-time dynamic monitoring method and system for electric power system based on Internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116846083A (en) | 2023-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107462863B (en) | Operation error operation diagnosis and analysis method and system for intelligent electric energy meter | |
| CN115575754B (en) | Intelligent industrial park electricity consumption anomaly identification method and system | |
| Prieto et al. | Self-powered wireless sensor applied to gear diagnosis based on acoustic emission | |
| CN208188313U (en) | A kind of electric energy meter calibrating apparatus with built-in monitoring base table | |
| KR20140009307A (en) | Energy consumption monitoring system, method, and computer program | |
| US20180299944A1 (en) | Production Management Method and System Using Power Consumption Features | |
| CN109116812A (en) | Intelligent power distribution cabinet, energy conserving system and method based on SparkStreaming | |
| CN107069973A (en) | A kind of power network monitoring system | |
| CN106569165A (en) | Electronic watt-hour meter measuring performance remote online detection system | |
| CN108767847A (en) | A kind of non-intrusion type power load decomposition method and device | |
| CN116846083B (en) | Power distribution monitoring method and system based on operation and maintenance of Internet of things | |
| CN113611096A (en) | Electric energy consumption monitoring and early warning system for air compression station | |
| CN106790398A (en) | A kind of work drive motor real-time based on intelligent network | |
| CN207133371U (en) | A kind of Portable wind group of motors component capabilities test device | |
| CN110471021A (en) | A kind of electric energy meter calibrating apparatus and method with built-in monitoring base table | |
| CN209167892U (en) | A kind of universal equipment running parameter data collecting card | |
| CN114123511B (en) | Method and system for monitoring and analyzing abnormal position of cable power distribution terminal | |
| CN207148192U (en) | A kind of synthetic electric power observation and control instrument | |
| CN112731857A (en) | Online monitoring system and monitoring method for running state of environmental protection equipment | |
| Terrazas et al. | Towards a comparison of low-cost technologies for monitoring the consumption of power | |
| CN2556361Y (en) | Oil well monitoring management device | |
| CN113238092B (en) | Non-invasive detection method based on machine learning | |
| CN117518064A (en) | Electric energy meter monitoring system and method | |
| CN110417030B (en) | Distributed positioning method and system for forced oscillation of electric power system | |
| CN117607732B (en) | Method for evaluating reliability of power module and test system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |