CN110634083A - High-efficient safe distribution network electric energy operation system - Google Patents
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Abstract
The invention belongs to the technical field of operation and maintenance of power distribution systems, and particularly relates to an efficient and safe power distribution network electric energy source operation system. The intelligent monitoring system comprises a data acquisition module, a multi-state edge calculation module and a protocol standard module, wherein a data acquisition instrument is arranged in the data acquisition module, and the data acquisition instrument comprises an ammeter monitoring instrument, a temperature and humidity sensor, a bus temperature measuring instrument, an electrical fire monitoring instrument, a water immersion detector, a smoke sensor and a camera; the multi-state edge calculation module at least comprises a communication manager; the protocol standard module is used for acquiring protocol standards including RS232, RS422, RS485, UART and ModBus for acquiring data of the instrument and equipment; based on the invention, a multidimensional terminal can be realized, the unified and normative display of data can be realized, the data can be analyzed in real time, and the equipment can give an alarm. And can carry out reasonable regulation and control according to relevant warning. The intelligent management of the platform is realized, great energy consumption optimization is brought to enterprises, and energy consumption cost is saved for users and enterprises.
Description
Technical Field
The invention belongs to the technical field of operation and maintenance of power distribution systems, and particularly relates to an efficient and safe power distribution network electric energy source operation system.
Background
With the development of science and technology, the requirements of residents and enterprises on the safety, quality, rapidness and energy conservation of power utilization are gradually improved, the traditional platform can not meet the existing requirements,
the efficiency, the safety and the rapidness of energy utilization are improved. And all data are visually displayed through a uniform platform interface. And provides 24-hour electricity consumption monitoring, abnormal alarming, energy consumption analysis, energy consumption report forms, operation and maintenance management and the like. And users and enterprises can know own power utilization dynamics at any time. And the pushed suggestion can be presented according to the system platform, and optimization work such as energy conservation and consumption reduction can be well done.
Disclosure of Invention
The invention aims to provide an efficient and safe power distribution network electric energy source operation system which is efficient, high in safety, rapid and convenient to control and use and has visualization capacity.
In order to achieve the purpose, the invention adopts the following technical scheme.
An electric energy and energy operation system of a high-efficiency safe power distribution network comprises a data acquisition module, a multi-state edge calculation module, a protocol standard module,
A data acquisition instrument is arranged in the data acquisition module and comprises an ammeter monitoring instrument, a temperature and humidity sensor, a bus temperature measuring instrument, an electrical fire monitoring instrument, a water immersion detector, a smoke sensor and a camera;
the multi-state edge calculation module at least comprises a communication manager;
the protocol standard module is used for acquiring protocol standards including RS232, RS422, RS485, UART and ModBus for acquiring data of the instrument and equipment; the instrumentation data includes current, voltage, active and reactive power, power factor, electrical degrees (normal and reverse), current distortion rate, voltage distortion rate, current imbalance, voltage imbalance, temperature, humidity, cable temperature, leakage current, capacitor switching and temperature, communication status, alarm messages, etc
Further improvement and optimization of the electric energy and energy operation system of the efficient and safe power distribution network are carried out, wherein the data acquisition module is used for executing the following steps:
a. a step for acquiring raw data, wherein the raw data comprises real-time data, important event data and equipment state data; the real-time data comprises company site numbers, equipment numbers, loop numbers, corresponding index codes, numerical values and creation time information; the important event data comprises an event type, an event level and a set value corresponding to the equipment; the equipment state data comprises the equipment number and original state data;
b. a step for acquiring secondary data, wherein the secondary data at least comprises electric quantity data and power data; the electric quantity data is defined as that the current integral point electric quantity is subtracted from the previous integral point electric quantity when each natural day is integral point; the power data refers to the average power at the hour of each natural day and the maximum and minimum values of the power.
The system of claim 2, further comprising the steps of:
c. a step for acquiring statistical data, wherein the statistical data at least comprises electric quantity statistical data and load statistical data, and the electric quantity statistical data comprises the sum of electricity consumption of each natural day, each month and each year; the load statistics include daily, monthly, and yearly electrical load data obtained on the basis of the power data.
The electric energy and energy operation system of the high-efficiency safe power distribution network is further improved and optimized, and the data are uniformly distributed and scheduled by using a distributed load balancing framework on the simultaneous processing of big data storage and request of various types of data; and in the aspect of data security, a plurality of disaster recovery and a plurality of servers are adopted for backup, and all backup and incremental backup are performed at regular time.
The further improvement and optimization of the electric energy and energy operation system of the high-efficiency safety power distribution network are realized, and the data backup step comprises the following steps:
1. opening a redo log copying thread, and sequentially copying the redo logs from the latest check point;
2. opening idb a file copying thread, and copying the data of the innardb table;
3, idb, when the file copying is finished, informing to call FTWRL and obtaining a consistency site;
4. backing up non-inbb list and frm files;
5. waiting for the completion of copying of the redo log;
6. obtaining binlog sites, and confirming that the states of the database are consistent;
7. and releasing the lock and finishing the backup.
The beneficial effects are that:
based on the invention, a multidimensional terminal can be realized, the unified and normative display of data can be realized, the data can be analyzed in real time, and the equipment can give an alarm. Through the mobile phone APP, the user can master various dynamic states at any time and know the operation condition of the enterprise in real time. And can carry out reasonable regulation and control according to relevant warning. The intelligent management of the platform is realized, great energy consumption optimization is brought to enterprises, and energy consumption cost is saved for users and enterprises.
Drawings
FIG. 1 is a deployment framework diagram of an efficient and safe distribution grid electrical energy source operation system;
fig. 2 is a functional framework diagram of an electric energy source operation system of a high-efficiency safety distribution network.
Detailed Description
The invention is described in detail below with reference to specific embodiments.
The invention mainly aims to transmit data of various instruments and electric meters of enterprise users to a platform by utilizing communication technologies such as Internet, 5G and the like. And unified allocation of hardware instruments is carried out through multi-state software. And carrying out statistics, analysis and calculation on the original data by utilizing edge calculation.
The deployment framework diagram of the high-efficiency safe power distribution network electric energy operation system is shown in fig. 1, and the functional framework diagram is shown in fig. 2, and specifically comprises a data acquisition module, a multi-state edge calculation module and a protocol standard module;
a data acquisition instrument is arranged in the data acquisition module and comprises an ammeter monitoring instrument, a temperature and humidity sensor, a bus temperature measuring instrument, an electrical fire monitoring instrument, a water immersion detector, a smoke sensor and a camera;
the multi-state edge calculation module at least comprises a communication manager;
the protocol standard module is used for acquiring protocol standards including RS232, RS422, RS485, UART and ModBus for acquiring data of the instrument and equipment;
the instrument and equipment data comprise current, voltage, active and reactive power, power factors, electric degree positive and negative phases, current distortion rate, voltage distortion rate, current unbalance degree, voltage unbalance degree, temperature, humidity, cable temperature, leakage current, capacitor switching and temperature, communication state and alarm message.
The data acquisition module is used for executing the following steps:
a. a step for acquiring raw data, wherein the raw data comprises real-time data, important event data and equipment state data; the real-time data comprises company site numbers, equipment numbers, loop numbers, corresponding index codes, numerical values and creation time information; the important event data comprises an event type, an event level and a set value corresponding to the equipment; the equipment state data comprises the equipment number and original state data;
b. a step for acquiring secondary data, wherein the secondary data at least comprises electric quantity data and power data; the electric quantity data is defined as that the current integral point electric quantity is subtracted from the previous integral point electric quantity when each natural day is integral point; the power data refers to the average power at the hour of each natural day and the maximum and minimum values of the power.
c. A step for acquiring statistical data, wherein the statistical data at least comprises electric quantity statistical data and load statistical data, and the electric quantity statistical data comprises the sum of electricity consumption of each natural day, each month and each year; the load statistics include daily, monthly, and yearly electrical load data obtained on the basis of the power data.
Wherein
Power data (data _ electric _ consumption) y-QPowder-QFirst stage
And performing daily integral point operation, calculating the electricity consumption of one hour, and subtracting the current electricity quantity by the integral point electricity quantity.
Table structure:
loop _ id: loop ID value: electrical quantity (Floating point)
And (3) date: time point (hour) power data [ data _ power ]
And performing daily integral point operation, calculating the power of one hour, and taking the average, maximum and minimum values of the power.
Table structure:
loop _ id: loop ID average: average power (Floating point)
max: maximum power (floating point) min: minimum power (Floating point)
And (3) date: statistical data of time points (whole point representation)
Power statistics (static _ electric _ consistency)
<1> day [ static _ electric _ consistency _ day ]
Daily integral point operation, daily total electricity consumption, based on electricity data
<2> month [ static _ electric _ consistency _ month ]
24:00 operations are carried out every day, the sum of the electricity consumption in one month is based on electricity statistics-day
<3> year [ static _ electric _ consistency _ year ]
Calculating the end of the month, wherein the sum of the electricity consumptions in one year is based on electricity statistics-month
Load statistics [ static _ load ]
<1> day [ static _ load _ day ]
And performing daily integral point operation, taking average, maximum and minimum values of power, and taking power data as a basis.
<2> month [ static _ load _ month ]
Calculating at 24:00 every day, taking average, maximum and minimum power, and performing load statistics-day basis
<3> year [ static _ load _ year ]
Calculating the end of a month, taking the average, maximum and minimum values of power, and taking load statistics-month as the basis
And then the data are transmitted to a server, and the server displays the data to the user in a visual form through upper-layer processing.
The various data are stored and requested by simultaneously processing big data, and a distributed load balancing framework is used for uniformly distributing and scheduling the data; and in the aspect of data security, a plurality of disaster recovery and a plurality of servers are adopted for backup, and all backup and incremental backup are performed at regular time.
And a distributed load balancing framework is used for simultaneously processing big data storage and requests, and data is uniformly distributed and scheduled. Disaster tolerance is adopted in data security. And the multiple servers perform backup, and perform all backup and incremental backup at regular time. The backup adopts the following mode:
1. opening a redo log copying thread, and sequentially copying the redo logs from the latest check point;
2. idb file copy thread is opened to copy the data of the innodb table
3, idb finishing copying file, informing to call FTWRL, obtaining consistency site
4. Backing up non-inbb table (system table) and frm files
5. Waiting for the completion of the redo log copy since no new transaction is committed at this time
6. After the latest redo log copy is completed, the inodb table and non-inodb table data are the latest at this time 7. obtaining binlog site, the database state is consistent at this time.
8. And releasing the lock and finishing the backup.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. An efficient and safe power distribution network electric energy operation system is characterized by comprising a data acquisition module, a multi-state edge calculation module and a protocol standard module;
a data acquisition instrument is arranged in the data acquisition module and comprises an ammeter monitoring instrument, a temperature and humidity sensor, a bus temperature measuring instrument, an electrical fire monitoring instrument, a water immersion detector, a smoke sensor and a camera;
the multi-state edge calculation module at least comprises a communication manager;
the protocol standard module is used for acquiring protocol standards including RS232, RS422, RS485, UART and ModBus for acquiring data of the instrument and equipment;
the instrument and equipment data comprise current, voltage, active and reactive power, power factors, electric degree positive and negative phases, current distortion rate, voltage distortion rate, current unbalance degree, voltage unbalance degree, temperature, humidity, cable temperature, leakage current, capacitor switching and temperature, communication state and alarm message.
2. The system of claim 1, wherein the data acquisition module is configured to perform the following steps:
a. a step for acquiring raw data, wherein the raw data comprises real-time data, important event data and equipment state data; the real-time data comprises company site numbers, equipment numbers, loop numbers, corresponding index codes, numerical values and creation time information; the important event data comprises an event type, an event level and a set value corresponding to the equipment; the equipment state data comprises the equipment number and original state data;
b. a step for acquiring secondary data, wherein the secondary data at least comprises electric quantity data and power data; the electric quantity data is defined as that the current integral point electric quantity is subtracted from the previous integral point electric quantity when each natural day is integral point; the power data refers to the average power at the hour of each natural day and the maximum and minimum values of the power.
3. The system of claim 2, further comprising the steps of:
c. a step for acquiring statistical data, wherein the statistical data at least comprises electric quantity statistical data and load statistical data, and the electric quantity statistical data comprises the sum of electricity consumption of each natural day, each month and each year; the load statistics include daily, monthly, and yearly electrical load data obtained on the basis of the power data.
4. The system according to claim 1, wherein the various types of data are uniformly distributed and scheduled by using a distributed load balancing architecture for processing large data storage and request simultaneously; and in the aspect of data security, a plurality of disaster recovery and a plurality of servers are adopted for backup, and all backup and incremental backup are performed at regular time.
5. The system according to claim 4, wherein the step of backing up the data comprises:
1. opening a redo log copying thread, and sequentially copying the redo logs from the latest check point;
2. opening idb a file copying thread, and copying the data of the innardb table;
3, idb, when the file copying is finished, informing to call FTWRL and obtaining a consistency site;
4. backing up non-inbb list and frm files;
5. waiting for the completion of copying of the redo log;
6. obtaining binlog sites, and confirming that the states of the database are consistent;
7. and releasing the lock and finishing the backup.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111523865A (en) * | 2020-05-23 | 2020-08-11 | 国家电网有限公司 | Electric power electric quantity balance auxiliary analysis and calculation system of electric power system |
| CN112325933A (en) * | 2020-10-29 | 2021-02-05 | 贵州电网有限责任公司 | Multi-energy system acquisition and preprocessing method and terminal based on edge calculation |
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