CN114157014A - Terminal power distribution system - Google Patents
Terminal power distribution system Download PDFInfo
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- CN114157014A CN114157014A CN202010930604.1A CN202010930604A CN114157014A CN 114157014 A CN114157014 A CN 114157014A CN 202010930604 A CN202010930604 A CN 202010930604A CN 114157014 A CN114157014 A CN 114157014A
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- 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
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- 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
- H02J13/00001—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 display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/0012—Contingency detection
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- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
Abstract
The invention discloses a tail end power distribution system, and relates to the field of power grid operation and maintenance. Relates to the field of power grid operation and maintenance. The common circuit breaker tail end power distribution mode is difficult to adapt to the development of the current technology. The system comprises a data acquisition unit, a monitoring host and a database server which are connected with the data acquisition unit, a remote client connected with the monitoring host through a grid and a management terminal connected with a database server network; the monitoring host comprises a safety monitoring module, a power consumption analysis module, an intelligent operation and maintenance module, an information interaction module and an application extension module; the tail end power distribution system of the technical scheme is combined with the ubiquitous power Internet of things technology to realize various management functions, including power consumption metering, safety early warning, fault positioning, electric leakage self-checking, load limiting, remote control and the like; the power utilization condition can be intuitively known by operation and maintenance personnel, so that the power distribution system has the advantages of economy, continuity, flexibility and reliability.
Description
Technical Field
The invention relates to the field of power grid operation and maintenance, in particular to a tail end power distribution system.
Background
With the rapid development of the technology, the transformer substation machine room is developing towards high density and modularization; the method provides new challenges for the economy, the persistence, the flexibility and the reliability of the terminal power distribution system of the communication equipment in the machine room. The common circuit breaker tail end power distribution mode is difficult to adapt to the development of the current technology.
Disclosure of Invention
The technical problem to be solved and the technical task are to perfect and improve the prior technical scheme and provide a terminal power distribution system so as to achieve the aim of considering economy, continuity, flexibility and reliability. Therefore, the invention adopts the following technical scheme.
The terminal power distribution system comprises a data acquisition unit, a monitoring host and a database server which are connected with the data acquisition unit, a remote client connected with the monitoring host through a grid and a management terminal connected with a database server network; the monitoring host comprises a safety monitoring module, a power consumption analysis module, an intelligent operation and maintenance module, an information interaction module and an application extension module; wherein the content of the first and second substances,
the safety monitoring module is used for monitoring the risk of electrical fire, monitoring and alarming illegal electricity utilization, alarming leakage of lines or electrical appliances and online inspection of user risk; the system comprises an electrical fire risk monitoring submodule, an illegal electricity utilization monitoring and alarming submodule, a line or electrical appliance electric leakage alarming submodule and a user risk online inspection submodule
The power utilization analysis module is used for analyzing power utilization behaviors, predicting and analyzing power utilization load curves, carrying out statistical analysis on high-risk equipment and monitoring power supply quality; the system comprises a power utilization behavior analysis submodule, a power utilization load curve prediction analysis submodule, a high-risk equipment statistical analysis submodule and a power supply quality monitoring submodule
The intelligent operation and maintenance module is used for GIS equipment positioning, navigation on-site maintenance, power supply fault active alarm, remote consultation of difficult and complicated problem experts, fault handling efficiency and quality closed-loop management; the system comprises a GIS equipment positioning sub-module, a navigation door-to-door maintenance sub-module, a power supply fault active alarm sub-module, a difficult problem expert remote consultation sub-module and a fault handling efficiency and quality closed-loop management sub-module;
the information interaction module is used for machine room maintenance declaration, circuit hidden danger reporting, power utilization safety propaganda and policy and regulation propaganda; the system comprises a machine room maintenance declaration submodule, a circuit hidden danger reporting submodule, an electricity utilization safety propaganda submodule and a policy and regulation propaganda submodule;
the application extension module is used for controlling the smart home.
The terminal power distribution system of the technical scheme combines terminal power distribution management software and terminal power distribution equipment, and combines the ubiquitous power internet of things technology to realize various management functions, including power consumption metering, safety precaution, fault location, electric leakage self-checking, load limiting, remote control and the like. And operation and maintenance personnel can visually know the power utilization condition, so that the power distribution system has the advantages of economy, continuity, flexibility and reliability.
As a preferable technical means: when the gas fire risk monitoring submodule works, the method comprises the following steps:
A11) acquiring database data in a database server, and performing data analysis;
A12) judging whether the electrical fire risk monitoring related data exceed a preset limit value, if not, transferring the data to a database, and continuously acquiring database data and analyzing the data; if so, outputting the overrun data form to obtain electrical fire risk monitoring data;
when the illegal electricity utilization monitoring and alarming submodule works, the illegal electricity utilization monitoring and alarming submodule comprises the following steps:
A21) acquiring database data and analyzing the data;
A22) judging whether short circuit data exist or not; if not, transferring the data to the database, and returning to the step A21); if so, outputting the short circuit data form, and carrying out illegal power utilization monitoring and alarming;
when the circuit or electric appliance electric leakage alarm submodule works, the method comprises the following steps:
A31) acquiring database data and analyzing the data;
A32) judging whether electric leakage data exist or not, if not, transferring the data to a database, and returning to A31); if yes, outputting the electric leakage data form, and performing electric leakage alarm on the line or the electric appliance;
when the user risk online inspection sub-module works, the method comprises the following steps:
A41) acquiring database data and analyzing the data;
A42) judging whether the data exceed the limit, if not, transferring the data to a database, and returning to A41); and if so, outputting the data overrun data form, and carrying out online inspection on the user risk.
As a preferable technical means: when the power consumption behavior analysis submodule works, the method comprises the following steps:
B11) selecting a data set in a database;
B12) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B13) analyzing the processed data, including site subdivision, electric charge recovery risk early warning and electricity larceny prevention early warning;
B14) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B15) a result report, which comprises result comparison and report generation;
when the power load curve prediction analysis submodule works, the method comprises the following steps:
B21) acquiring load data and per-person electricity sales data;
B22) selecting a corresponding power load curve prediction analysis model according to the types of users and data, inputting the acquired data into the corresponding power load curve prediction analysis model, and fitting to obtain a load-per-capita electricity sales equation;
B23) obtaining a power consumption load curve prediction result including each time dimension load prediction report according to a load-per-person electricity sales equation;
the high-risk equipment statistical analysis submodule comprises the following steps of:
B31) selecting a data set in a database;
B32) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B33) analyzing the processed data, including site subdivision and high-risk equipment risk early warning;
B34) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B35) a result report, which comprises result comparison and report generation;
when the power supply quality monitoring submodule works, the method comprises the following steps:
B41) data acquisition, including three-phase voltage and three-phase current;
B42) data analysis, including frequency spectrum analysis, frequency measurement, harmonic analysis, three-phase unbalance analysis, fluctuation and flicker analysis;
B43) and outputting results including waveform output, data output and/or print output, and performing Web publishing.
As a preferable technical means: the power utilization load curve prediction analysis submodule acquires a data set from user profile information, power utilization load data, user power utilization behavior information, weather and weather information and social environment information in step B11);
in step B22), the method specifically includes:
B221) data preprocessing, wherein the data preprocessing comprises data normalization, missing data completion and abnormal data processing;
B222) load forecasting factor screening
B223) Data classification by line and electricity utilization category
B224) Inputting the power load curve prediction analysis model into a corresponding power load curve prediction analysis model, wherein the power load curve prediction analysis model is based on ensemble learning and comprises a normal day prediction model and a holiday prediction model, and the normal day prediction model and the holiday prediction model both comprise a special transformer user and a transformer area user;
in the step 23), calculating a load predicted value of each time dimension according to a load-per-person electricity-selling quantity equation; and generating and displaying a load prediction report form of each time dimension.
As a preferable technical means: the GIS equipment positioning submodule comprises the following steps of:
C11) the GIS equipment positioning sub-module acquires fault information through the communication module;
C12) the GIS equipment positioning sub-module stores the fault information into a database, sends the position information into a GIS device and carries out alarm display at the same time;
the navigation door-to-door maintenance submodule comprises the following steps in work:
C21) the navigation door-to-door maintenance submodule acquires GPS positioning information, processes faults and stores data into a database;
C22) the navigation door-to-door maintenance submodule is communicated through a GPRS device and performs alarm display;
when the power supply fault active alarm submodule works, the method comprises the following steps:
C31) the power supply fault active alarm submodule acquires power supply fault information uploaded by a remote client;
C32) and storing the power supply fault information into a database, and performing alarm display.
As a preferable technical means:
the working of the machine room maintenance reporting submodule comprises the following steps:
D11) the machine room maintenance reporting submodule acquires the input maintenance reporting data;
D12) transferring the entered maintenance declaration data to a database;
D13) obtaining a maintenance data form in a database, and performing form verification;
D14) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D12); if so, the form is reported to a maintenance work order for maintenance;
the circuit hidden danger reporting submodule comprises the following steps of:
D21) the circuit hidden danger reporting submodule acquires input circuit hidden danger reporting data;
D22) transferring the input line hidden danger reporting data to a database;
D23) acquiring a line hidden danger reporting data form in a database, and auditing the form;
D24) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D22); if so, generating a hidden danger report work order for maintenance;
the electricity utilization safety propaganda sub-module comprises the following steps in work:
D31) the line hidden danger reporting submodule uploads power utilization safety propaganda data;
D32) transferring the electricity safety propaganda data to a database;
D33) acquiring a power utilization safety propaganda data form in a database, and auditing;
D34) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D32); if yes, the data is externally released;
the policy and regulation declaration sub-module comprises the following steps in work:
D41) the policy and regulation declaration sub-module acquires the uploaded policy and regulation;
D42) uploading policy and regulation data to a database;
D43) acquiring a policy and regulation data form in a database, and auditing;
D44) judging whether the audit is passed, if not, deleting after backup, and returning to the step D42); if yes, the data is externally issued.
As a preferable technical means: when the application extension module works, the method comprises the following steps:
E1) when the application expansion module is arranged at a mobile terminal or a PC (personal computer) terminal, the application expansion module accesses the home gateway through a network, a route and a firewall;
E2) when the application expansion module is arranged on the server, the application expansion module accesses the home gateway through the community control center; the community control center is provided with a community anti-theft alarm system and an intelligent three-meter checking and reading system;
E3) the intelligent home control system is controlled by the application expansion module, wherein the intelligent home control system comprises visual access control, curtain control, light control, entertainment system control, anti-theft alarm control, remote medical control and gas-fired alarm control.
As a preferable technical means: the monitoring host machine also comprises a display module; the display module comprises a system operation monitoring display module, a power utilization general profile display module, an electric leakage self-checking display module, a load alarm display module, a power utilization voltage fluctuation analysis display module and a real-time data and historical report data display module;
the system operation monitoring display module: the current, voltage, power, electric quantity, alarm and temperature parameters of a display line are acquired in real time, so that the comparison of power utilization conditions at different times is adjusted and watched, the on-off state of a switch is displayed, and visual graphs and data are provided for operation and maintenance personnel;
a power usage profile display module: the power utilization condition of the power distribution loop in each area can be called out, a 24-hour and monthly power utilization data report is provided, so that the overall power distribution operation condition in a campus can be known, and operation and maintenance personnel can visually master the power utilization trend and can be used as a management basis;
electric leakage self-checking display module: the leakage self-checking and summarizing display is carried out according to the set time so as to ensure that the circuit can be turned off at the highest speed within 0.04 second when a leakage accident occurs, thereby protecting the property and the personnel safety; providing a 24-hour and monthly detection data report to ensure that the electric leakage function is effective in real time; meanwhile, the electrician maintenance time and labor cost are reduced, and the judgment and deployment are quickly made through background data analysis;
load alarm display module: according to the power change range of the power line which is set and detected, the electric quantity value of the power line is monitored and displayed in real time, early warning information can be triggered when the electric quantity value exceeds a preset value, all electric box equipment which exceeds the load power early warning preset value under a display item can be retrieved through conditions, and the condition retrieval comprises position and time; providing a 24-hour and monthly load detection data report;
and an electric voltage fluctuation analysis display module: monitoring and displaying the operation parameters of the equipment in real time, wherein the operation parameters comprise voltage information and current information, and the voltage information of the equipment in each hour within 24 hours of the day can be graphically displayed in a curve;
the real-time data and historical report data display module: displaying real-time data and a historical report, supporting an EXECL format to derive data, including a daily report, a monthly report, a quarterly report and an annual report, and inquiring and printing current, voltage, power load, electric energy metering, alarm information and detection information data; and management support is provided for requirements of metering statistics, safety investigation statistics, internal consumption analysis and the like.
Has the advantages that: according to the technical scheme, the terminal power distribution management software and the terminal power distribution equipment are combined, and various management functions such as power consumption metering, safety early warning, fault location, electric leakage self-checking, load limitation, remote control and the like are realized by combining the ubiquitous power Internet of things technology.
The safety of the communication equipment is improved, more accurate, faster and more reliable protection measures are provided for power supply of the communication equipment, and safe and stable operation of electric power is guaranteed.
The power distribution system has the advantages of economy, continuity, flexibility and reliability.
Drawings
FIG. 1 is a system block diagram of the present invention.
Fig. 2 is a flow chart of electrical fire monitoring of the present invention.
Fig. 3 is a flow chart of the illegal electricity utilization monitoring alarm of the invention.
FIG. 4 is a circuit or electrical appliance leakage alarm flow chart of the present invention
Fig. 5 is a flow chart of the user risk online inspection of the present invention.
Fig. 6 is a flow chart of the power consumption behavior analysis of the present invention.
Fig. 7 is a flow chart of the electrical load curve predictive analysis of the present invention.
Fig. 8 is an overall flowchart of the power load curve prediction analysis system of the present invention.
Fig. 9 is a flow chart of statistical analysis of high risk equipment of the present invention.
Fig. 10 is a flowchart of GIS device location of the present invention.
FIG. 11 is a navigational home repair design flow diagram of the present invention.
Fig. 12 is a power failure active warning flow diagram of the present invention.
Fig. 13 is a flow chart of the machine room maintenance declaration of the present invention.
Fig. 14 is a flow chart of the circuit hazard reporting of the present invention.
FIG. 15 is a flow chart of the electricity usage security promotion of the present invention.
FIG. 16 is a flow chart of the policy and regulation declaration of the present invention.
FIG. 17 is a functional block diagram of an application expansion module of the present invention.
Detailed Description
The technical scheme of the invention is further explained in detail by combining the drawings in the specification.
As shown in fig. 1, the present invention includes a data acquisition unit, a monitoring host and a database server connected to the data acquisition unit, a remote client connected to the monitoring host through a grid, and a management terminal connected to a database server network; the monitoring host comprises a safety monitoring module, a power consumption analysis module, an intelligent operation and maintenance module, an information interaction module and an application extension module; wherein the content of the first and second substances,
the safety monitoring module is used for monitoring the risk of electrical fire, monitoring and alarming illegal electricity utilization, alarming leakage of lines or electrical appliances and online inspection of user risk; the system comprises an electrical fire risk monitoring submodule, an illegal electricity utilization monitoring and alarming submodule, a line or electrical appliance electric leakage alarming submodule and a user risk online inspection submodule
The power utilization analysis module is used for analyzing power utilization behaviors, predicting and analyzing power utilization load curves, carrying out statistical analysis on high-risk equipment and monitoring power supply quality; the system comprises a power utilization behavior analysis submodule, a power utilization load curve prediction analysis submodule, a high-risk equipment statistical analysis submodule and a power supply quality monitoring submodule
The intelligent operation and maintenance module is used for GIS equipment positioning, navigation on-site maintenance, power supply fault active alarm, remote consultation of difficult and complicated problem experts, fault handling efficiency and quality closed-loop management; the system comprises a GIS equipment positioning sub-module, a navigation door-to-door maintenance sub-module, a power supply fault active alarm sub-module, a difficult problem expert remote consultation sub-module and a fault handling efficiency and quality closed-loop management sub-module;
the information interaction module is used for machine room maintenance declaration, circuit hidden danger reporting, power utilization safety propaganda and policy and regulation propaganda; the system comprises a machine room maintenance declaration submodule, a circuit hidden danger reporting submodule, an electricity utilization safety propaganda submodule and a policy and regulation propaganda submodule;
the application extension module is used for controlling the smart home.
The terminal power distribution system of the technical scheme combines terminal power distribution management software and terminal power distribution equipment, and combines the ubiquitous power internet of things technology to realize various management functions, including power consumption metering, safety precaution, fault location, electric leakage self-checking, load limiting, remote control and the like. And operation and maintenance personnel can visually know the power utilization condition, so that the power distribution system has the advantages of economy, continuity, flexibility and reliability.
As shown in fig. 2, the gas fire risk monitoring submodule, when operating, includes the steps of:
A11) acquiring database data in a database server, and performing data analysis;
A12) judging whether the electrical fire risk monitoring related data exceed a preset limit value, if not, transferring the data to a database, and continuously acquiring database data and analyzing the data; if so, outputting the overrun data form to obtain electrical fire risk monitoring data;
as shown in fig. 3, when the illegal electricity utilization monitoring and alarming submodule works, the method comprises the following steps:
A21) acquiring database data and analyzing the data;
A22) judging whether short circuit data exist or not; if not, transferring the data to the database, and returning to the step A21); if so, outputting the short circuit data form, and carrying out illegal power utilization monitoring and alarming;
as shown in fig. 4, when the line or electrical appliance leakage alarm sub-module works, it includes the following steps:
A31) acquiring database data and analyzing the data;
A32) judging whether electric leakage data exist or not, if not, transferring the data to a database, and returning to A31); if yes, outputting the electric leakage data form, and performing electric leakage alarm on the line or the electric appliance;
as shown in fig. 5, when the user risk online inspection sub-module works, the method comprises the following steps:
A41) acquiring database data and analyzing the data;
A42) judging whether the data exceed the limit, if not, transferring the data to a database, and returning to A41); and if so, outputting the data overrun data form, and carrying out online inspection on the user risk.
As shown in fig. 6, when the electricity consumption behavior analysis sub-module works, it includes the steps of:
B11) selecting a data set in a database;
B12) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B13) analyzing the processed data, including site subdivision, electric charge recovery risk early warning and electricity larceny prevention early warning;
B14) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B15) a result report, which comprises result comparison and report generation;
as shown in fig. 7, when the power load curve prediction analysis sub-module works, the method includes the following steps:
B21) acquiring load data and per-person electricity sales data;
B22) selecting a corresponding power load curve prediction analysis model according to the types of users and data, inputting the acquired data into the corresponding power load curve prediction analysis model, and fitting to obtain a load-per-capita electricity sales equation;
B23) obtaining a power consumption load curve prediction result including each time dimension load prediction report according to a load-per-person electricity sales equation;
as shown in fig. 9, when the high-risk device statistical analysis sub-module works, the method includes the steps of:
B31) selecting a data set in a database;
B32) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B33) analyzing the processed data, including site subdivision and high-risk equipment risk early warning;
B34) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B35) a result report, which comprises result comparison and report generation;
when the power supply quality monitoring submodule works, the method comprises the following steps:
B41) data acquisition, including three-phase voltage and three-phase current;
B42) data analysis, including frequency spectrum analysis, frequency measurement, harmonic analysis, three-phase unbalance analysis, fluctuation and flicker analysis;
B43) and outputting results including waveform output, data output and/or print output, and performing Web publishing.
As shown in fig. 8, the power consumption load curve prediction analysis submodule obtains a data set from the user profile information, the power consumption load data, the user power consumption behavior information, the weather and weather information, and the social environment information in step B11);
in step B22), the method specifically includes:
B221) data preprocessing, wherein the data preprocessing comprises data normalization, missing data completion and abnormal data processing;
B222) load forecasting factor screening
B223) Data classification by line and electricity utilization category
B224) Inputting the power load curve prediction analysis model into a corresponding power load curve prediction analysis model, wherein the power load curve prediction analysis model is based on ensemble learning and comprises a normal day prediction model and a holiday prediction model, and the normal day prediction model and the holiday prediction model both comprise a special transformer user and a transformer area user;
in the step 23), calculating a load predicted value of each time dimension according to a load-per-person electricity-selling quantity equation; and generating and displaying a load prediction report form of each time dimension.
As shown in fig. 10, the GIS device positioning sub-module includes, in operation:
C11) the GIS equipment positioning sub-module acquires fault information through the communication module;
C12) the GIS equipment positioning sub-module stores the fault information into a database, sends the position information into a GIS device and carries out alarm display at the same time;
as shown in fig. 11, the navigation door-to-door maintenance sub-module includes, in operation, the steps of:
C21) the navigation door-to-door maintenance submodule acquires GPS positioning information, processes faults and stores data into a database;
C22) the navigation door-to-door maintenance submodule is communicated through a GPRS device and performs alarm display;
as shown in fig. 12, when the power supply failure active alarm sub-module works, it includes the following steps:
C31) the power supply fault active alarm submodule acquires power supply fault information uploaded by a remote client;
C32) and storing the power supply fault information into a database, and performing alarm display.
As shown in fig. 13, the working of the machine room maintenance reporting sub-module includes the steps of:
D11) the machine room maintenance reporting submodule acquires the input maintenance reporting data;
D12) transferring the entered maintenance declaration data to a database;
D13) obtaining a maintenance data form in a database, and performing form verification;
D14) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D12); if so, the form is reported to a maintenance work order for maintenance;
as shown in fig. 14, the circuit risk reporting sub-module includes, in operation:
D21) the circuit hidden danger reporting submodule acquires input circuit hidden danger reporting data;
D22) transferring the input line hidden danger reporting data to a database;
D23) acquiring a line hidden danger reporting data form in a database, and auditing the form;
D24) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D22); if so, generating a hidden danger report work order for maintenance;
as shown in fig. 15, the electric safety propaganda sub-module includes the following steps:
D31) the line hidden danger reporting submodule uploads power utilization safety propaganda data;
D32) transferring the electricity safety propaganda data to a database;
D33) acquiring a power utilization safety propaganda data form in a database, and auditing;
D34) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D32); if yes, the data is externally released;
as shown in fig. 16, the policy and regulation declaration sub-module includes, in operation, the steps of:
D41) the policy and regulation declaration sub-module acquires the uploaded policy and regulation;
D42) uploading policy and regulation data to a database;
D43) acquiring a policy and regulation data form in a database, and auditing;
D44) judging whether the audit is passed, if not, deleting after backup, and returning to the step D42); if yes, the data is externally issued.
As shown in fig. 17, the application extension module, when operating, includes the steps of:
E1) when the application expansion module is arranged at a mobile terminal or a PC (personal computer) terminal, the application expansion module accesses the home gateway through a network, a route and a firewall;
E2) when the application expansion module is arranged on the server, the application expansion module accesses the home gateway through the community control center; the community control center is provided with a community anti-theft alarm system and an intelligent three-meter checking and reading system;
E3) the intelligent home control system is controlled by the application expansion module, wherein the intelligent home control system comprises visual access control, curtain control, light control, entertainment system control, anti-theft alarm control, remote medical control and gas-fired alarm control.
As a preferable technical means: the monitoring host machine also comprises a display module; the display module comprises a system operation monitoring display module, a power utilization general profile display module, an electric leakage self-checking display module, a load alarm display module, a power utilization voltage fluctuation analysis display module and a real-time data and historical report data display module;
the system operation monitoring display module: the current, voltage, power, electric quantity, alarm and temperature parameters of a display line are acquired in real time, so that the comparison of power utilization conditions at different times is adjusted and watched, the on-off state of a switch is displayed, and visual graphs and data are provided for operation and maintenance personnel;
a power usage profile display module: the power utilization condition of the power distribution loop in each area can be called out, a 24-hour and monthly power utilization data report is provided, so that the overall power distribution operation condition in a campus can be known, and operation and maintenance personnel can visually master the power utilization trend and can be used as a management basis;
electric leakage self-checking display module: the leakage self-checking and summarizing display is carried out according to the set time so as to ensure that the circuit can be turned off at the highest speed within 0.04 second when a leakage accident occurs, thereby protecting the property and the personnel safety; providing a 24-hour and monthly detection data report to ensure that the electric leakage function is effective in real time; meanwhile, the electrician maintenance time and labor cost are reduced, and the judgment and deployment are quickly made through background data analysis;
load alarm display module: according to the power change range of the power line which is set and detected, the electric quantity value of the power line is monitored and displayed in real time, early warning information can be triggered when the electric quantity value exceeds a preset value, all electric box equipment which exceeds the load power early warning preset value under a display item can be retrieved through conditions, and the condition retrieval comprises position and time; providing a 24-hour and monthly load detection data report;
and an electric voltage fluctuation analysis display module: monitoring and displaying the operation parameters of the equipment in real time, wherein the operation parameters comprise voltage information and current information, and the voltage information of the equipment in each hour within 24 hours of the day can be graphically displayed in a curve;
the real-time data and historical report data display module: displaying real-time data and a historical report, supporting an EXECL format to derive data, including a daily report, a monthly report, a quarterly report and an annual report, and inquiring and printing current, voltage, power load, electric energy metering, alarm information and detection information data; and management support is provided for requirements of metering statistics, safety investigation statistics, internal consumption analysis and the like.
The terminal power distribution system shown in fig. 1-17 is an embodiment of the present invention, and it is intended to embody the essential features and advantages of the invention, and it is within the scope of the present invention to modify the same in shape, structure, etc. according to the actual application.
Claims (8)
1. End distribution system, its characterized in that: the system comprises a data acquisition unit, a monitoring host and a database server which are connected with the data acquisition unit, a remote client connected with the monitoring host through a grid and a management terminal connected with the database server through a network; the monitoring host comprises a safety monitoring module, a power consumption analysis module, an intelligent operation and maintenance module, an information interaction module and an application extension module; wherein the content of the first and second substances,
the safety monitoring module is used for monitoring the risk of electrical fire, monitoring and alarming illegal electricity utilization, alarming leakage of lines or electrical appliances and online inspection of user risk; the system comprises an electrical fire risk monitoring submodule, an illegal electricity utilization monitoring and alarming submodule, a line or electrical appliance electric leakage alarming submodule and a user risk online inspection submodule
The power utilization analysis module is used for analyzing power utilization behaviors, predicting and analyzing power utilization load curves, carrying out statistical analysis on high-risk equipment and monitoring power supply quality; the system comprises a power utilization behavior analysis submodule, a power utilization load curve prediction analysis submodule, a high-risk equipment statistical analysis submodule and a power supply quality monitoring submodule
The intelligent operation and maintenance module is used for GIS equipment positioning, navigation on-site maintenance, power supply fault active alarm, remote consultation of difficult and complicated problem experts, fault handling efficiency and quality closed-loop management; the system comprises a GIS equipment positioning sub-module, a navigation door-to-door maintenance sub-module, a power supply fault active alarm sub-module, a difficult problem expert remote consultation sub-module and a fault handling efficiency and quality closed-loop management sub-module;
the information interaction module is used for machine room maintenance declaration, circuit hidden danger reporting, power utilization safety propaganda and policy and regulation propaganda; the system comprises a machine room maintenance declaration submodule, a circuit hidden danger reporting submodule, an electricity utilization safety propaganda submodule and a policy and regulation propaganda submodule;
the application extension module is used for controlling the smart home.
2. The end power distribution system of claim 1, wherein: when the gas fire risk monitoring submodule works, the method comprises the following steps:
A11) acquiring database data in a database server, and performing data analysis;
A12) judging whether the electrical fire risk monitoring related data exceed a preset limit value, if not, transferring the data to a database, and continuously acquiring database data and analyzing the data; if so, outputting the overrun data form to obtain electrical fire risk monitoring data;
when the illegal electricity utilization monitoring and alarming submodule works, the illegal electricity utilization monitoring and alarming submodule comprises the following steps:
A21) acquiring database data and analyzing the data;
A22) judging whether short circuit data exist or not; if not, transferring the data to the database, and returning to the step A21); if so, outputting the short circuit data form, and carrying out illegal power utilization monitoring and alarming;
when the circuit or electric appliance electric leakage alarm submodule works, the method comprises the following steps:
A31) acquiring database data and analyzing the data;
A32) judging whether electric leakage data exist or not, if not, transferring the data to a database, and returning to A31); if yes, outputting the electric leakage data form, and performing electric leakage alarm on the line or the electric appliance;
when the user risk online inspection sub-module works, the method comprises the following steps:
A41) acquiring database data and analyzing the data;
A42) judging whether the data exceed the limit, if not, transferring the data to a database, and returning to A41); and if so, outputting the data overrun data form, and carrying out online inspection on the user risk.
3. The end power distribution system of claim 2, wherein: when the power consumption behavior analysis submodule works, the method comprises the following steps:
B11) selecting a data set in a database;
B12) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B13) analyzing the processed data, including site subdivision, electric charge recovery risk early warning and electricity larceny prevention early warning;
B14) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B15) a result report, which comprises result comparison and report generation;
when the power load curve prediction analysis submodule works, the method comprises the following steps:
B21) acquiring load data and per-person electricity sales data;
B22) selecting a corresponding power load curve prediction analysis model according to the types of users and data, inputting the acquired data into the corresponding power load curve prediction analysis model, and fitting to obtain a load-per-capita electricity sales equation;
B23) obtaining a power consumption load curve prediction result including each time dimension load prediction report according to a load-per-person electricity sales equation;
the high-risk equipment statistical analysis submodule comprises the following steps of:
B31) selecting a data set in a database;
B32) preprocessing a data set, including data cleaning, data integration, data conversion and data reduction;
B33) analyzing the processed data, including site subdivision and high-risk equipment risk early warning;
B34) judging whether the judgment is successful, if so, entering the next step, and if not, returning to the step B13);
B35) a result report, which comprises result comparison and report generation;
when the power supply quality monitoring submodule works, the method comprises the following steps:
B41) data acquisition, including three-phase voltage and three-phase current;
B42) data analysis, including frequency spectrum analysis, frequency measurement, harmonic analysis, three-phase unbalance analysis, fluctuation and flicker analysis;
B43) and outputting results including waveform output, data output and/or print output, and performing Web publishing.
4. The end power distribution system of claim 3, wherein: the power utilization load curve prediction analysis submodule acquires a data set from user profile information, power utilization load data, user power utilization behavior information, weather and weather information and social environment information in step B11);
in step B22), the method specifically includes:
B221) data preprocessing, wherein the data preprocessing comprises data normalization, missing data completion and abnormal data processing;
B222) load forecasting factor screening
B223) Data classification by line and electricity utilization category
B224) Inputting the power load curve prediction analysis model into a corresponding power load curve prediction analysis model, wherein the power load curve prediction analysis model is based on ensemble learning and comprises a normal day prediction model and a holiday prediction model, and the normal day prediction model and the holiday prediction model both comprise a special transformer user and a transformer area user;
in the step 23), calculating a load predicted value of each time dimension according to a load-per-person electricity-selling quantity equation; and generating and displaying a load prediction report form of each time dimension.
5. The end power distribution system of claim 4, wherein: the GIS equipment positioning submodule comprises the following steps of:
C11) the GIS equipment positioning sub-module acquires fault information through the communication module;
C12) the GIS equipment positioning sub-module stores the fault information into a database, sends the position information into a GIS device and carries out alarm display at the same time;
the navigation door-to-door maintenance submodule comprises the following steps in work:
C21) the navigation door-to-door maintenance submodule acquires GPS positioning information, processes faults and stores data into a database;
C22) the navigation door-to-door maintenance submodule is communicated through a GPRS device and performs alarm display;
when the power supply fault active alarm submodule works, the method comprises the following steps:
C31) the power supply fault active alarm submodule acquires power supply fault information uploaded by a remote client;
C32) and storing the power supply fault information into a database, and performing alarm display.
6. The end power distribution system of claim 5, wherein:
the working of the machine room maintenance reporting submodule comprises the following steps:
D11) the machine room maintenance reporting submodule acquires the input maintenance reporting data;
D12) transferring the entered maintenance declaration data to a database;
D13) obtaining a maintenance data form in a database, and performing form verification;
D14) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D12); if so, the form is reported to a maintenance work order for maintenance;
the circuit hidden danger reporting submodule comprises the following steps of:
D21) the circuit hidden danger reporting submodule acquires input circuit hidden danger reporting data;
D22) transferring the input line hidden danger reporting data to a database;
D23) acquiring a line hidden danger reporting data form in a database, and auditing the form;
D24) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D22); if so, generating a hidden danger report work order for maintenance;
the electricity utilization safety propaganda sub-module comprises the following steps in work:
D31) the line hidden danger reporting submodule uploads power utilization safety propaganda data;
D32) transferring the electricity safety propaganda data to a database;
D33) acquiring a power utilization safety propaganda data form in a database, and auditing;
D34) judging whether the audit is passed, if not, transferring the audit to a database, and returning to the step D32); if yes, the data is externally released;
the policy and regulation declaration sub-module comprises the following steps in work:
D41) the policy and regulation declaration sub-module acquires the uploaded policy and regulation;
D42) uploading policy and regulation data to a database;
D43) acquiring a policy and regulation data form in a database, and auditing;
D44) judging whether the audit is passed, if not, deleting after backup, and returning to the step D42); if yes, the data is externally issued.
7. The end power distribution system of claim 6, wherein: when the application extension module works, the method comprises the following steps:
E1) when the application expansion module is arranged at a mobile terminal or a PC (personal computer) terminal, the application expansion module accesses the home gateway through a network, a route and a firewall;
E2) when the application expansion module is arranged on the server, the application expansion module accesses the home gateway through the community control center; the community control center is provided with a community anti-theft alarm system and an intelligent three-meter checking and reading system;
E3) the intelligent home control system is controlled by the application expansion module, wherein the intelligent home control system comprises visual access control, curtain control, light control, entertainment system control, anti-theft alarm control, remote medical control and gas-fired alarm control.
8. The end power distribution system of claim 5, wherein: the monitoring host machine also comprises a display module; the display module comprises a system operation monitoring display module, a power utilization general profile display module, an electric leakage self-checking display module, a load alarm display module, a power utilization voltage fluctuation analysis display module and a real-time data and historical report data display module;
the system operation monitoring display module: the current, voltage, power, electric quantity, alarm and temperature parameters of a display line are acquired in real time, so that the comparison of power utilization conditions at different times is adjusted and watched, the on-off state of a switch is displayed, and visual graphs and data are provided for operation and maintenance personnel;
a power usage profile display module: the power utilization condition of the power distribution loop in each area can be called out, a 24-hour and monthly power utilization data report is provided, so that the overall power distribution operation condition in a campus can be known, and operation and maintenance personnel can visually master the power utilization trend and can be used as a management basis;
electric leakage self-checking display module: the leakage self-checking and summarizing display is carried out according to the set time so as to ensure that the circuit can be turned off at the highest speed within 0.04 second when a leakage accident occurs, thereby protecting the property and the personnel safety; providing a 24-hour and monthly detection data report to ensure that the electric leakage function is effective in real time; meanwhile, the electrician maintenance time and labor cost are reduced, and the judgment and deployment are quickly made through background data analysis;
load alarm display module: according to the power change range of the power line which is set and detected, the electric quantity value of the power line is monitored and displayed in real time, early warning information can be triggered when the electric quantity value exceeds a preset value, all electric box equipment which exceeds the load power early warning preset value under a display item can be retrieved through conditions, and the condition retrieval comprises position and time; providing a 24-hour and monthly load detection data report;
and an electric voltage fluctuation analysis display module: monitoring and displaying the operation parameters of the equipment in real time, wherein the operation parameters comprise voltage information and current information, and the voltage information of the equipment in each hour within 24 hours of the day can be graphically displayed in a curve;
the real-time data and historical report data display module: displaying real-time data and a historical report, supporting an EXECL format to derive data, including a daily report, a monthly report, a quarterly report and an annual report, and inquiring and printing current, voltage, power load, electric energy metering, alarm information and detection information data; and management support is provided for requirements of metering statistics, safety investigation statistics, internal consumption analysis and the like.
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| CN116308887A (en) * | 2023-05-12 | 2023-06-23 | 北京迅巢科技有限公司 | Intelligent power distribution integrated platform model construction method |
| CN116308887B (en) * | 2023-05-12 | 2023-08-11 | 北京迅巢科技有限公司 | Intelligent power distribution integrated platform model construction method |
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