CN116260484B - Factory electric network intelligent monitoring system based on power carrier - Google Patents
Factory electric network intelligent monitoring system based on power carrier Download PDFInfo
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- CN116260484B CN116260484B CN202310538172.3A CN202310538172A CN116260484B CN 116260484 B CN116260484 B CN 116260484B CN 202310538172 A CN202310538172 A CN 202310538172A CN 116260484 B CN116260484 B CN 116260484B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
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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
- H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00007—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using the power network as support for the transmission
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/02—Details
- H04B3/46—Monitoring; Testing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/20—Arrangements in telecontrol or telemetry systems using a distributed architecture
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/60—Arrangements in telecontrol or telemetry systems for transmitting utility meters data, i.e. transmission of data from the reader of the utility meter
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/70—Arrangements in the main station, i.e. central controller
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application discloses a factory power grid intelligent monitoring system based on a power carrier, which belongs to the field of power and is used for solving the problem that relevant equipment of a factory power grid is difficult to monitor in real time due to factors such as wide circuit distribution, difficult wiring communication and the like of a factory power distribution system.
Description
Technical Field
The application belongs to the field of power, relates to a factory power grid monitoring technology, and particularly relates to a factory power grid intelligent monitoring system based on a power carrier.
Background
A plant grid system refers to the supply and distribution of electrical energy required by a plant, also known as plant power distribution. The electric energy of the electric power system is subjected to voltage reduction and redistribution to various workshops or workshops, and the electric power system consists of a factory voltage reduction substation, a high-voltage distribution line, a workshop substation, a low-voltage distribution line and electric equipment.
Most of the power distribution systems of factories still adopt relay protection devices composed of various relays, emergency treatment can be carried out only after accidents occur, large-area power failure is carried out, serious economic loss is caused, and although some factories introduce single intelligent electric meters, real-time monitoring of relevant equipment of the power grid of the factories is difficult due to factors such as wide distribution of power distribution lines, difficult wiring communication and the like of the power grid of the factories;
therefore, we propose a factory grid intelligent monitoring system based on power carrier.
Disclosure of Invention
Aiming at the defects existing in the prior art, the application aims to provide a factory power grid intelligent monitoring system based on a power carrier.
The technical problems to be solved by the application are as follows:
how to implement targeted monitoring of power devices in a plant power distribution system based on site importance and device factors.
The aim of the application can be achieved by the following technical scheme:
the factory power grid intelligent monitoring system based on the power carrier comprises a data acquisition module, a data analysis module, a site importance analysis module, a display module, an intelligent delineation module, an equipment analysis module and a server, wherein a storage module is arranged in the server and used for storing site data of different sites in the factory power grid and sending the site data to the site importance analysis module;
the station importance analysis module is used for analyzing the importance of the stations in the factory power grid, obtaining importance levels of the stations in the factory power grid and feeding the importance levels back to the server, and the server sends the importance levels of the stations in the factory power grid to the intelligent setting module;
the storage module is also used for storing equipment monitoring data of the power generation equipment in the station in the factory power grid and sending the equipment monitoring data to the equipment analysis module;
the device analysis module is used for analyzing the device condition of the power generation device in the station in the factory power grid, obtaining the device monitoring grade of the power generation device in the station in the factory power grid and feeding back to the server, and the server sends the device monitoring grade of the power generation device in the station in the factory power grid to the intelligent delineation module;
the intelligent delineation module is used for intelligently delineating the power generation equipment in the site in the factory power grid to obtain a first monitoring set, a second monitoring set or a third monitoring set, and feeding the first monitoring set, the second monitoring set or the third monitoring set back to the server, and the server sends the first monitoring set, the second monitoring set or the third monitoring set to the display module;
in the use process of the power generation equipment, the data acquisition module is used for sequentially acquiring real-time equipment data of the power generation equipment in a plurality of stations in a factory power grid according to the sequence of the first monitoring set, the second monitoring set and the third monitoring set and sending the real-time equipment data to the data analysis module through the server;
the data analysis module is used for analyzing the working condition of the power generation equipment in the station in the factory power grid, generating a working normal signal or a working abnormal signal, feeding the working normal signal or the working abnormal signal back to the server, sending the working normal signal or the working abnormal signal to the display module by the server, and displaying the working normal signal or the working abnormal signal by the display module, and flashing the indicator lamp corresponding to the power generation equipment when the working abnormal signal is received.
Further, the site data are the power coverage area of sites in a factory power grid, the number of electric equipment connected with the sites and the number of power generation equipment in the sites;
the equipment monitoring data are the input use time of the power generation equipment, the continuous working time of the previous week, the abnormal times of the equipment and the maintenance time of each abnormality.
Further, the analysis process of the site importance analysis module is specifically as follows:
acquiring the electric power coverage area of a station in a factory electric network;
then, the number of electric equipment connected with stations in a factory power grid is obtained, and the number of the electric equipment is recorded as the number of the electric equipment;
meanwhile, the number of the power generation equipment in the stations in the factory power grid is obtained, and the number of the power generation equipment is recorded as the number of the power generation equipment;
calculating important values of stations in a factory power grid;
the importance value is compared with an importance threshold value, and the importance level of the station in the factory power grid is judged to be a third importance level, a second importance level or a first importance level.
Further, the first importance level is higher than the importance level, and the second importance level is higher than the importance level.
Further, the analysis process of the device analysis module is specifically as follows:
acquiring the input use time of the power generation equipment in the station in the factory power grid, and subtracting the input use time from the current time of the server to obtain the use time of the power generation equipment in the station in the factory power grid;
then, the continuous working time of a week before the power generation equipment in the station in the factory power grid is obtained;
simultaneously acquiring the abnormal times of equipment of the power generation equipment in the station in the factory power grid and the overhaul duration of each abnormality, and traversing and comparing the overhaul duration of each abnormality to obtain the overhaul upper limit duration of the power generation equipment in the station in the factory power grid;
calculating a device monitoring value of power generation devices in a station in a factory power grid;
and comparing the equipment monitoring values with the equipment monitoring threshold values, and judging that the equipment monitoring grade of the power generation equipment in the site in the factory power grid is the third equipment monitoring grade, the second equipment monitoring grade or the first equipment monitoring grade.
Further, the first device monitoring level is higher than the second device monitoring level, which is higher than the third device monitoring level;
the greater the value of the device monitoring value, the higher the level of the device monitoring level.
Further, the intelligent delineation process of the intelligent delineation module is specifically as follows:
acquiring equipment monitoring grade of power generation equipment in a station in a factory power grid;
then obtaining the importance level of the station in the factory power grid where the power generation equipment is located;
setting corresponding values for different equipment monitoring levels, and setting corresponding values for different importance levels at the same time;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is larger than or equal to a second value, the power generation equipment is delineated to a first monitoring set;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the second value and larger than or equal to the first value, the power generation equipment is delineated to a second monitoring set;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the first value, the power generation equipment is delineated to a third monitoring set; wherein the value of the first value is smaller than the value of the second value.
Further, the real-time equipment data is a real-time temperature value of the power generation equipment.
Further, the analysis process of the data analysis module is specifically as follows:
setting a data analysis period of the power generation equipment, setting a plurality of time points in the data analysis period, and dividing the data analysis period into a plurality of time periods according to the time points;
acquiring real-time temperature values of power generation equipment at a plurality of time points;
then respectively calculating the numerical variation of the real-time temperature values between adjacent time points to obtain temperature fluctuation values of a plurality of time periods;
the method comprises the steps that a storage module in a server is obtained to store a temperature fluctuation interval of corresponding power generation equipment;
if the temperature fluctuation value is in the temperature fluctuation interval, the time period corresponding to the temperature fluctuation value is recorded as a normal time period;
counting the number of normal time periods and recording the number as the number of the normal time periods, and obtaining the single normal operation time length duty ratio of the power generation equipment in the data analysis time period by comparing the number of the normal time periods with the total number of the time periods;
similarly, setting data analysis time periods of the power generation equipment for a plurality of times according to the steps, and obtaining the single normal operation time length duty ratio of the power generation equipment in a plurality of groups of data analysis time periods;
adding and summing the multiple groups of single normal operation time length occupation ratios to obtain the normal operation time length occupation ratio of the power generation equipment;
if the normal operation time period duty ratio exceeds the preset normal operation time period, generating a normal operation signal;
and if the duty ratio of the normal operation time does not exceed the preset normal operation time, generating a working abnormal signal.
Compared with the prior art, the application has the beneficial effects that:
according to the application, the importance of the site in the factory power grid is analyzed through the site importance analysis module to obtain importance level feedback of the site in the factory power grid, the importance level feedback is sent to the intelligent delineation module, then the equipment analysis module is utilized to analyze equipment conditions of the power generation equipment in the site in the factory power grid, the equipment monitoring level of the power generation equipment in the site in the factory power grid is obtained and is sent to the intelligent delineation module, the intelligent delineation module is used for intelligently delineating the power generation equipment in the site in the factory power grid in combination with the importance level and the operation monitoring level to obtain a first monitoring set, a second monitoring set or a third monitoring set, real-time equipment data of the power generation equipment in the site in the factory power grid are sequentially collected according to the sequence of the first monitoring set, the second monitoring set and the third monitoring set in the use process of the power generation equipment, the data analysis module is used for analyzing the working conditions of the power generation equipment in the site in the factory power grid, and generating normal working signals or abnormal working signals are generated.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is an overall system block diagram of the present application;
fig. 2 is a schematic diagram of connection between a station and a server in the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one: referring to fig. 1-2, a factory power grid intelligent monitoring system based on a power carrier comprises a data acquisition module, a data analysis module, a site importance analysis module, a display module, an intelligent delineation module, a device analysis module and a server, wherein the factory power grid comprises a plurality of sites, each site comprises a plurality of power generation devices, and each power generation device can specifically comprise a generator, a transformer and the like;
in specific implementation, a storage module is arranged in the server and is used for storing site data of different sites in a factory power grid and sending the site data to a site importance analysis module;
the specific explanation is that the site data is the power coverage area of sites in a factory power grid, the number of electric equipment connected with the sites and the number of power generation equipment in the sites;
the station importance analysis module is used for analyzing the importance of stations in a factory power grid, and the analysis process is specifically as follows:
marking sites in a factory power grid as u, wherein u=1, 2, … …, and z is a positive integer;
acquiring the power coverage area of a station in a factory power grid, and marking the power coverage area as FMu;
then the number of electric equipment connected with stations in the factory power grid is obtained, and the number of the electric equipment is recorded as the number YSu of the electric equipment;
meanwhile, the number of the power generation equipment in the stations in the factory power grid is obtained, and the number of the power generation equipment is recorded as the number FSu of the power generation equipment;
calculating to obtain an important value ZYu of a site in the factory power grid through a formula ZYu = (FMu ×a1+ YSu ×a2+ FSu ×a3)/(a1+a2+a3); wherein a1, a2 and a3 are all proportional coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
if ZYu is less than X1, the importance level of the station in the factory power grid is a third importance level;
if X1 is less than or equal to ZYu and less than X2, the importance level of the stations in the factory power grid is a second importance level;
if X2 is less than or equal to ZYu, the importance level of the station in the factory power grid is the first importance level; wherein X1 and X2 are both important thresholds with fixed values, and X1 is more than 0 and X2 is more than 0;
specifically, the first importance level is higher than the importance level, and the second importance level is higher than the importance level;
the station importance analysis module feeds back the importance level of the station in the factory power grid to the server, and the server sends the importance level of the station in the factory power grid to the intelligent circling module;
in specific implementation, the storage module is further used for storing equipment monitoring data of power generation equipment in a site in a factory power grid and sending the equipment monitoring data to the equipment analysis module, wherein the equipment monitoring data are input use time of the power generation equipment, continuous working time of the previous week, equipment abnormality times and overhaul time of each abnormality;
the equipment analysis module is used for analyzing equipment conditions of power generation equipment in a station in a factory power grid, and the analysis process is specifically as follows:
acquiring the input use time of the power generation equipment in the station in the factory power grid, and subtracting the input use time from the current time of the server to obtain the use time ST of the power generation equipment in the station in the factory power grid;
then, the continuous working time length CT of the previous week of the power generation equipment in the station in the factory power grid is obtained;
meanwhile, the equipment anomaly times YC of the power generation equipment in the station in the factory power grid and the overhaul time length of each anomaly are obtained, and the overhaul time length of each anomaly is compared to obtain the overhaul upper limit time JT of the power generation equipment in the station in the factory power grid;
the equipment monitoring value SJ of the power generation equipment in the station in the factory power grid is obtained through calculation according to the formula, wherein the formula is specifically as follows:
sj= (sj+st+ct+yc+jt)/e, where e is a natural constant;
if SJ is less than Y1, the equipment monitoring grade of the power generation equipment in the station in the factory power grid is a third equipment monitoring grade;
if Y1 is less than or equal to SJ and less than Y2, the equipment monitoring level of the power generation equipment in the station in the factory power grid is a second equipment monitoring level;
if Y2 is less than or equal to SJ, the equipment monitoring level of the power generation equipment in the station in the factory power grid is a first equipment monitoring level; wherein Y1 and Y2 are both equipment monitoring thresholds with fixed values, and Y1 is more than 0 and Y2 is more than 0;
specifically, the grade of the first equipment monitoring grade is higher than the grade of the second equipment monitoring grade, and the grade of the second equipment monitoring grade is higher than the grade of the third equipment monitoring grade, so that the larger the numerical value of the equipment monitoring value is, the higher the grade of the equipment monitoring grade is;
the equipment analysis module feeds back the equipment monitoring grade of the power generation equipment in the site in the factory power grid to the server, and the server sends the equipment monitoring grade of the power generation equipment in the site in the factory power grid to the intelligent delineation module;
the intelligent demarcation module is used for intelligently demarcating the power generation equipment in the station in the factory power grid, and the intelligent demarcation process is specifically as follows:
acquiring equipment monitoring grade of power generation equipment in a station in a factory power grid;
then obtaining the importance level of the station in the factory power grid where the power generation equipment is located;
setting corresponding values for different equipment monitoring levels, and setting corresponding values for different importance levels at the same time;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is larger than or equal to a second value, the power generation equipment is delineated to a first monitoring set;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the second value and larger than or equal to the first value, the power generation equipment is delineated to a second monitoring set; wherein the value of the first value is smaller than the value of the second value;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the first value, the power generation equipment is delineated to a third monitoring set;
for example, the value corresponding to the first equipment monitoring level is 3, the value corresponding to the second equipment monitoring level is 2, the value corresponding to the third equipment monitoring level is 1, the value corresponding to the first important level is 30, the value corresponding to the second important level is 20, the value corresponding to the third important level is 10, the second value is 33, the first value is 11, when the power generation equipment is the first equipment monitoring level and the site where the power generation equipment is located is the first important level, the sum of the value of the first equipment monitoring level and the value of the first important level is greater than or equal to the second value, and therefore the power generation equipment is de-circled to the first monitoring set;
the intelligent delineation module feeds the first monitoring set, the second monitoring set or the third monitoring set back to the server, and the server sends the first monitoring set, the second monitoring set or the third monitoring set to the display module;
the display module is used for displaying different monitoring sets, and specifically comprises the following steps:
if the first monitoring set is the first monitoring set, the power generation equipment is displayed by adopting a red indicator lamp mark;
if the monitoring set is the second monitoring set, the power generation equipment is displayed by adopting a yellow indicator lamp mark;
if the monitoring set is the third monitoring set, the green indicator lamp is adopted for marking and displaying the power generation equipment;
in the use process of the power generation equipment, the data acquisition module is used for sequentially acquiring real-time equipment data of the power generation equipment in a plurality of stations in a factory power grid according to the sequence of the first monitoring set, the second monitoring set and the third monitoring set, and sending the real-time equipment data to the server through a power carrier technology, and the server sends the real-time equipment data to the data analysis module, wherein the data is transmitted through the power carrier technology. The data transmission is carried out on the original power line, no communication cable is required to be additionally paved, the protocol stack with simple design can meet the networking of most of equipment and the PLC, the software use cost is not required, and the development cost is saved;
the method specifically needs to explain that the real-time equipment data is a real-time temperature value of the power generation equipment, specifically, when the real-time equipment data is actually collected, parameters such as a decibel value, a vibration value, a current value, a voltage value, a resistance value and the like of the power generation equipment can be collected for operation analysis of the power generation equipment, in the embodiment, the working condition of the power generation equipment is preferably judged by adopting an intuitive parameter such as the real-time temperature value, once the temperature is in an abnormal state, the working condition of the power generation equipment is necessarily influenced, and the normal use of the power generation equipment is not facilitated due to the fact that the excessive temperature, the excessive low temperature or the large temperature difference floating;
the data analysis module is used for analyzing the working condition of power generation equipment in a station in a factory power grid, and the analysis process is specifically as follows:
setting a data analysis period of the power generation equipment, setting a plurality of time points in the data analysis period, and dividing the data analysis period into a plurality of time periods according to the time points;
acquiring real-time temperature values of power generation equipment at a plurality of time points;
then respectively calculating the numerical variation of the real-time temperature values between adjacent time points to obtain temperature fluctuation values of a plurality of time periods;
the method comprises the steps that a storage module in a server is obtained to store a temperature fluctuation interval of corresponding power generation equipment;
if the temperature fluctuation value is in the temperature fluctuation interval, the time period corresponding to the temperature fluctuation value is recorded as a normal time period;
counting the number of normal time periods and recording the number as the number of the normal time periods, and obtaining the single normal operation time length duty ratio of the power generation equipment in the data analysis time period by comparing the number of the normal time periods with the total number of the time periods;
similarly, setting data analysis time periods of the power generation equipment for a plurality of times according to the steps, and obtaining the single normal operation time length duty ratio of the power generation equipment in a plurality of groups of data analysis time periods;
adding and summing the multiple groups of single normal operation time length occupation ratios to obtain the normal operation time length occupation ratio of the power generation equipment;
if the normal operation time period duty ratio exceeds the preset normal operation time period, generating a normal operation signal;
if the duty ratio of the normal operation time does not exceed the preset normal operation time, generating a work abnormal signal;
the data analysis module feeds back the normal operation signal or the abnormal operation signal to the server, the server sends the normal operation signal or the abnormal operation signal to the display module, and the display module is used for displaying the normal operation signal or the abnormal operation signal and flashing the indicator lamp corresponding to the power generation equipment when receiving the abnormal operation signal.
In the application, if a corresponding calculation formula appears, the calculation formulas are all dimensionality-removed and numerical calculation, and the weight coefficient, the proportion coefficient and other coefficients in the formulas are set to be a result value obtained by quantizing each parameter, so long as the proportion relation between the parameter and the result value is not influenced.
Embodiment two: based on the further conception of the unified application, a using method of the intelligent monitoring system of the factory power grid based on the power carrier is provided, and the using method is as follows:
step S100, a storage module stores site data of different sites in a factory power grid, the site data is sent to a site importance analysis module, the site importance analysis module is used for analyzing the importance of the sites in the factory power grid, the importance level of the sites in the factory power grid is fed back to a server, and the server sends the importance level of the sites in the factory power grid to an intelligent setting module;
in the step S100, the analysis process of the site importance analysis module specifically includes the following steps:
acquiring an electric power coverage area of a station in a factory electric network, acquiring the number of electric equipment connected with the station in the factory electric network, recording the number of the electric equipment as the number of the electric equipment, simultaneously acquiring the number of power generation equipment in the station in the factory electric network, recording the number of the power generation equipment as the number of the power generation equipment, calculating an important value of the station in the factory electric network, comparing the important value with an important threshold value, and judging whether the important grade of the station in the factory electric network is a third important grade, a second important grade or a first important grade;
step S200, the storage module also stores equipment monitoring data of the power generation equipment in the site in the factory power grid, the equipment monitoring data are sent to the equipment analysis module, the equipment analysis module analyzes equipment conditions of the power generation equipment in the site in the factory power grid, equipment monitoring grades of the power generation equipment in the site in the factory power grid are obtained and fed back to the server, and the server sends the equipment monitoring grades of the power generation equipment in the site in the factory power grid to the intelligent delineation module;
in the step S200, the analysis process of the device analysis module is specifically as follows:
acquiring the input use time of the power generation equipment in the station in the factory power grid, subtracting the input use time from the current time of a server to obtain the use time of the power generation equipment in the station in the factory power grid, then acquiring the continuous working time of a week before the power generation equipment in the station in the factory power grid, simultaneously acquiring the equipment abnormality times and the maintenance time of each abnormality, traversing and comparing the maintenance time of each abnormality to obtain the maintenance upper limit time of the power generation equipment in the station in the factory power grid, calculating the equipment monitoring value of the power generation equipment in the station in the factory power grid, comparing the equipment monitoring value with the equipment monitoring threshold, and judging the equipment monitoring level of the power generation equipment in the station in the factory power grid to be a third equipment monitoring level, a second equipment monitoring level or a first equipment monitoring level;
step S300, the intelligent ring fixed die intelligently circles the power generation equipment in the station in the factory power grid to obtain a first monitoring set, a second monitoring set or a third monitoring set, the first monitoring set, the second monitoring set or the third monitoring set is fed back to the server, and the server sends the first monitoring set, the second monitoring set or the third monitoring set to the display module;
in the step S300, the intelligent circling process of the intelligent circling fixed mold specifically includes the following steps:
acquiring equipment monitoring grades of power generation equipment in a site in a factory power grid, acquiring importance grades of the site in the factory power grid where the power generation equipment is located, setting corresponding values for different equipment monitoring grades, setting corresponding values for different importance grades at the same time, if the sum of the values of the equipment monitoring grades corresponding to the power generation equipment and the values of the importance grades corresponding to the site where the power generation equipment is located is larger than or equal to a second value, then, the power generation equipment is mapped to a first monitoring set, if the sum of the values of the equipment monitoring grades corresponding to the power generation equipment and the values of the importance grades corresponding to the site where the power generation equipment is located is smaller than the second value and larger than or equal to the first value, then, the power generation equipment is mapped to a second monitoring set, and if the sum of the values of the equipment monitoring grades corresponding to the power generation equipment and the values of the importance grades corresponding to the site where the power generation equipment is located is smaller than the first value;
step S400, in the use process of the power generation equipment, a data acquisition module sequentially acquires real-time equipment data of the power generation equipment in a plurality of stations in a factory power grid according to the sequence of a first monitoring set, a second monitoring set and a third monitoring set, the real-time equipment data is sent to a server through a power carrier technology, and the server sends the real-time equipment data to a data analysis module;
step S500, a data analysis module is used for analyzing the working condition of power generation equipment in a site in a factory power grid, generating a working normal signal or a working abnormal signal, feeding the working normal signal or the working abnormal signal back to a server, sending the working normal signal or the working abnormal signal to a display module by the server, displaying the working normal signal or the working abnormal signal by the display module, and flashing an indicator lamp corresponding to the power generation equipment when receiving the working abnormal signal;
in the step S500, the analysis process of the data analysis module is specifically as follows:
setting a data analysis period of the power generation equipment, setting a plurality of time points in the data analysis period, dividing the data analysis period into a plurality of time points according to the time points, acquiring real-time temperature values of the power generation equipment at the plurality of time points, then respectively calculating numerical changes of the real-time temperature values between adjacent time points to acquire temperature fluctuation values of the plurality of time points, acquiring a storage module in a server to store a temperature fluctuation interval of the corresponding power generation equipment, if the temperature fluctuation value is in the temperature fluctuation interval, recording the time points corresponding to the temperature fluctuation value as normal time points, counting the number of the normal time points and recording the number of the normal time points, comparing the number of the normal time points to obtain a single normal operation time length occupation ratio of the power generation equipment in the data analysis period, and similarly, setting the data analysis period of the power generation equipment for a plurality of times according to the steps, obtaining the single normal operation time length occupation ratio of the power generation equipment in a plurality of groups of data analysis periods, adding and taking an average value to obtain the normal operation time length occupation ratio of the power generation equipment, if the normal operation time length occupation ratio exceeds the preset normal operation time length, generating a normal operation signal, and if the normal operation time length occupation ratio does not exceed the preset normal operation time length.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. Factory electric wire netting intelligent monitoring system based on power line carrier, its characterized in that includes:
the storage module is used for storing site data of different sites in the factory power grid and sending the site data to the site importance analysis module;
the station importance analysis module is used for analyzing the importance of the stations in the factory power grid, obtaining the importance level of the stations in the factory power grid and sending the importance level to the intelligent delineation module through the server;
the storage module is also used for storing equipment monitoring data of the power generation equipment in the station in the factory power grid and sending the equipment monitoring data to the equipment analysis module;
the device analysis module is used for analyzing the device condition of the power generation device in the station in the factory power grid, obtaining the device monitoring grade of the power generation device in the station in the factory power grid and sending the device monitoring grade to the intelligent delineation module through the server;
the intelligent delineating module is used for intelligently delineating the power generation equipment in the station in the factory power grid to obtain a first monitoring set, a second monitoring set or a third monitoring set, and the first monitoring set, the second monitoring set or the third monitoring set is sent to the display module through the server;
the intelligent demarcation process of the intelligent demarcation module is specifically as follows:
acquiring equipment monitoring grade of power generation equipment in a station in a factory power grid;
then obtaining the importance level of the station in the factory power grid where the power generation equipment is located;
setting corresponding values for different equipment monitoring levels, and setting corresponding values for different importance levels at the same time;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is larger than or equal to a second value, the power generation equipment is delineated to a first monitoring set;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the second value and larger than or equal to the first value, the power generation equipment is delineated to a second monitoring set;
if the sum of the value of the monitoring grade of the corresponding equipment of the power generation equipment and the value of the importance grade of the site where the power generation equipment is located is smaller than the first value, the power generation equipment is delineated to a third monitoring set; wherein the value of the first value is smaller than the value of the second value;
during the use of the power generation equipment;
the data acquisition module is used for sequentially acquiring real-time equipment data of power generation equipment in a plurality of stations in the factory power grid according to the sequence of the first monitoring set, the second monitoring set and the third monitoring set, and sending the real-time equipment data to the data analysis module through the server;
the data analysis module is used for analyzing the working condition of the power generation equipment in the station in the factory power grid, generating a normal working signal or an abnormal working signal and sending the normal working signal or the abnormal working signal to the display module through the server;
and the display module is used for displaying the normal operation signal or the abnormal operation signal and flashing the indicator lamp corresponding to the power generation equipment when the abnormal operation signal is received.
2. The power carrier-based intelligent monitoring system for a plant power grid according to claim 1, wherein the site data is a power coverage area of a site in the plant power grid, the number of electric equipment connected to the site, and the number of power generation equipment in the site;
the equipment monitoring data are the input use time of the power generation equipment, the continuous working time of the previous week, the abnormal times of the equipment and the maintenance time of each abnormality.
3. The power carrier-based intelligent monitoring system for a plant grid according to claim 1, wherein the analysis process of the site importance analysis module is specifically as follows:
acquiring the electric power coverage area of a station in a factory electric network;
then, the number of electric equipment connected with stations in a factory power grid is obtained, and the number of the electric equipment is recorded as the number of the electric equipment;
meanwhile, the number of the power generation equipment in the stations in the factory power grid is obtained, and the number of the power generation equipment is recorded as the number of the power generation equipment;
calculating important values of stations in a factory power grid;
the importance value is compared with an importance threshold value, and the importance level of the station in the factory power grid is judged to be a third importance level, a second importance level or a first importance level.
4. The power carrier based plant grid intelligent monitoring system of claim 3, wherein the first importance level is higher than the importance level and the second importance level is higher than the importance level.
5. The power carrier-based intelligent monitoring system for a plant grid according to claim 1, wherein the analysis process of the device analysis module is specifically as follows:
acquiring the input use time of the power generation equipment in the station in the factory power grid, and subtracting the input use time from the current time of the server to obtain the use time of the power generation equipment in the station in the factory power grid;
then, the continuous working time of a week before the power generation equipment in the station in the factory power grid is obtained;
simultaneously acquiring the abnormal times of equipment of the power generation equipment in the station in the factory power grid and the overhaul duration of each abnormality, and traversing and comparing the overhaul duration of each abnormality to obtain the overhaul upper limit duration of the power generation equipment in the station in the factory power grid;
calculating a device monitoring value of power generation devices in a station in a factory power grid;
and comparing the equipment monitoring values with the equipment monitoring threshold values, and judging that the equipment monitoring grade of the power generation equipment in the site in the factory power grid is the third equipment monitoring grade, the second equipment monitoring grade or the first equipment monitoring grade.
6. The power carrier based plant grid intelligent monitoring system of claim 5, wherein the first device monitoring level is higher than the second device monitoring level, and the second device monitoring level is higher than the third device monitoring level;
the greater the value of the device monitoring value, the higher the level of the device monitoring level.
7. The power carrier based intelligent monitoring system of a plant grid of claim 1, wherein the real-time device data is a real-time temperature value of the power generation device.
8. The power carrier-based intelligent monitoring system for a plant grid according to claim 1, wherein the analysis process of the data analysis module is specifically as follows:
setting a data analysis period of the power generation equipment, setting a plurality of time points in the data analysis period, and dividing the data analysis period into a plurality of time periods according to the time points;
acquiring real-time temperature values of power generation equipment at a plurality of time points;
then respectively calculating the numerical variation of the real-time temperature values between adjacent time points to obtain temperature fluctuation values of a plurality of time periods;
the method comprises the steps that a storage module in a server is obtained to store a temperature fluctuation interval of corresponding power generation equipment;
if the temperature fluctuation value is in the temperature fluctuation interval, the time period corresponding to the temperature fluctuation value is recorded as a normal time period;
counting the number of normal time periods and recording the number as the number of the normal time periods, and obtaining the single normal operation time length duty ratio of the power generation equipment in the data analysis time period by comparing the number of the normal time periods with the total number of the time periods;
similarly, setting data analysis time periods of the power generation equipment for a plurality of times according to the steps, and obtaining the single normal operation time length duty ratio of the power generation equipment in a plurality of groups of data analysis time periods;
adding and summing the multiple groups of single normal operation time length occupation ratios to obtain the normal operation time length occupation ratio of the power generation equipment;
if the normal operation time period duty ratio exceeds the preset normal operation time period, generating a normal operation signal;
and if the duty ratio of the normal operation time does not exceed the preset normal operation time, generating a working abnormal signal.
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