CN114583827A - New forms of energy power station's supervision early warning control system - Google Patents
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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
- 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
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
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Abstract
The invention relates to the technical field of power station safety early warning, in particular to a supervision early warning control system of a new energy power station, which comprises a new station detection unit, an identification unit, a station storage unit, a management unit, a power station supervision unit, a station danger early warning unit, a station sending response unit and a prompt unit, wherein the new station detection unit is used for detecting a new station; the invention carries out correlation analysis on various data by identifying and integrating the relevant data of the power station, processes the influence value of various influencing factors, carries out safety analysis on the equipment in operation, and determines whether the equipment is normal or not by calculating and judging the correlation degree of the relevant data.
Description
Technical Field
The invention relates to the technical field of power station safety early warning, in particular to a supervision early warning control system of a new energy power station.
Background
The power station is a factory which converts various primary energy sources stored in the nature into electric energy, and with the increase of the electric power demand, people begin to propose the idea of establishing an electric power production center, the development of the motor manufacturing technology, the expansion of the electric energy application range, the rapid increase of the demand of the production on electricity, and the generation of the power station follows, and although the power station brings much convenience to our life, the power station also has some potential safety hazards;
in the existing safety detection and early warning of the power station, a manager monitors the power station by acquiring temperature and images, needs to monitor the power station in real time, consumes a large amount of human resources, can find the power station only after an accident occurs, cannot perform safety analysis on equipment during operation of the equipment, performs comprehensive treatment and analysis according to the operation of the equipment and related influence factors, and finds potential safety hazards in advance;
therefore, a supervision early warning control system of the new energy power station is provided.
Disclosure of Invention
The invention aims to provide a supervision and early warning control system of a new energy power station, which carries out correlation analysis on various data by identifying and integrating related data of the power station, processes influence values of various influencing factors, carries out safety analysis on equipment in operation, calculates and judges the correlation degree of the related data so as to determine whether the equipment is normal or not, and carries out safety calculation on the judged data again so as to secondarily judge the abnormality of the equipment, increase the safety of the equipment, increase the accuracy of data analysis and ensure the safe operation of the power station.
The purpose of the invention can be realized by the following technical scheme:
a supervision early warning control system of a new energy power station comprises a new station detection unit, an identification unit, a station storage unit, a management unit, a power station supervision unit, a station danger early warning unit, a station sending response unit and a prompt unit;
the new station detection unit is used for monitoring relevant data in the power station in real time, marking the relevant data obtained by real-time monitoring as real monitoring information, and transmitting the real monitoring information to the identification unit;
the station storage unit is internally stored with station storage information related to the operation of the previous power station, the identification unit acquires the station storage information from the station storage unit and performs identification operation on the station storage information and the real monitoring information to obtain storage data and corresponding time storage data, temperature storage data, station shadow data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage bit data, and transmits the storage data to the management unit;
the tube position unit is used for carrying out related data analysis and calculation on the station storage information and the station shadow data, and processing to obtain a set line shadow value, an oscillation shadow speed average value, a distance variation average value, a ring factor variation value and a temperature factor variation value;
the station danger early warning unit is used for carrying out safety early warning processing on the real monitoring information and the setting line shadow value, the vibration shadow speed average value, the distance variation average value, the ring factor variation value and the temperature factor variation value obtained by the processing of the pipe position unit, and processing a hidden danger signal and a danger signal;
the station sending response unit is used for carrying out signal conversion on the hidden danger signals and the danger signals and sending the converted prompt signals and alarm signals to the prompt unit;
the prompting unit is used for receiving and displaying a prompting signal and an alarm signal.
Further, the real monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station bit data, station vibration data, station connection data and station connection data;
the station storage information comprises storage data, time storage data, temperature storage data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage bit data.
Further, the data analysis and calculation related to the station memory information and the station shadow data are calibrated as the monitoring and scoring operation, and the specific operation process of the monitoring and scoring operation is as follows:
extracting corresponding time storage data, temperature storage data and ring storage data according to the storage data, and performing temperature change processing to obtain a temperature factor value;
selecting temperature storage data and ring storage data under the same storage data and the same storage time data, and calculating a ring factor value according to a calculation process control variable of the temperature factor value;
selecting corresponding storage bit data, storage vibration data and storage time data according to the storage data, carrying out vibration speed influence processing, calculating a vibration and shadow speed value, carrying out calculation on the vibration and shadow speed value for a plurality of times according to the same processing mode, carrying out mean value calculation on a plurality of corresponding vibration and shadow speed values, and calculating a vibration and shadow speed mean value;
selecting a plurality of running storage data, automatically acquiring storage temperature data corresponding to the storage data, carrying out temperature transfer processing on the storage data when the storage temperature data corresponding to the storage data are different and the distances among the storage data are different, and processing to obtain a distance variation average value;
selecting continuous storage data and continuous storage bit data according to the storage data, calculating a line distance value in a virtual coordinate system corresponding to the continuous storage data according to the continuous storage bit data corresponding to the continuous storage data, selecting the distance between the continuous storage bit data generating a displacement value and other equipment, calibrating the distance value as a shadow distance value, performing difference calculation on the shadow distance value and the line distance value, calculating a line difference value, and bringing the line difference value and the displacement value into a calculation formula together: line difference = displacement value set line shadow value, and the set line shadow value is calculated.
Further, the specific treatment process of the temperature change treatment comprises the following steps:
selecting temperature data when the time storage data is zero, calibrating the temperature data as initial temperature data, selecting the time storage data under different time storage data under the same time storage ring data, bringing the time storage data into a difference value calculation formula, calculating the time storage data under two different time storage data, calibrating the time storage data as a temperature storage difference value, calculating a difference value of the two time storage data corresponding to the temperature storage difference value, calibrating the time storage data as a time difference value, selecting a plurality of groups of time difference values and temperature storage difference values under the same condition difference, carrying out mean value calculation on the time difference values and the temperature storage mean values, bringing the time mean value and the temperature storage mean value into a temperature change calculation formula, and calculating a temperature factor value;
the specific treatment process of the vibration velocity influence treatment comprises the following steps: establishing a virtual coordinate system, marking the stored data in the virtual coordinate system, marking coordinate points corresponding to the stored data as stored coordinate points, calculating the distance between every two adjacent stored data according to the pythagorean theorem, and marking the distance as an adjacency distance value;
selecting the storage bit data of the storage data after working setting time, calibrating the storage bit data into storage bit data, calculating the distance difference between the storage bit data and the storage bit data, specifically calculating by using the pythagorean theorem to calculate a displacement value, selecting the corresponding vibration storage data and the vibration storage data, summing the vibration storage data to calculate a total vibration storage value, calculating the difference between the initial time storage data and the selected time storage data to calculate a two-time difference value, bringing the two-time difference value, the total vibration storage value and the displacement value into a vibration displacement calculation formula, and calculating the vibration and shadow velocity value.
Further, the specific treatment process of the temperature transfer treatment is as follows:
selecting two storage data, when the distance between the two storage data is zero, selecting corresponding temperature, calibrating the temperature as a first temperature and a second temperature, simultaneously extracting the storage temperature data when the two storage data with the same operating conditions are stored independently, calibrating the storage temperature data as a storage temperature value and a storage temperature value respectively, calculating the difference value between the storage temperature value and the first temperature and the second temperature, calculating a first temperature difference and a second temperature difference, selecting the temperature corresponding to the storage data with the lower temperature from the two storage data, calculating the difference value between the temperature corresponding to the storage data with the lower temperature and the corresponding first temperature difference or the second temperature difference, and calculating the influence temperature difference;
according to the calculation method of the influence temperature difference, other conditions are kept unchanged, the distance between the two storage data is increased, the distance influence temperature difference is calculated, and the distance influence temperature difference, the influence temperature difference and the distance value between the two storage data are added into a calculation formula together: and calculating a distance change value, wherein the distance value is represented by the distance between two stored data, calculating the distance change values corresponding to the two stored data under the condition of different distances according to the same method, calculating the mean value of the distance change values, and calculating the distance change mean value.
Further, the specific operation process of the safety early warning operation is as follows:
according to the stored data, bringing the corresponding station time data, station temperature data, station loop data, initial temperature data, loop factor variation value and temperature factor variation value into a station temperature value calculation formula together, and calculating a station temperature value JWi;
comparing the station temperature measuring value with the station temperature data, judging that the temperature is normal when the station temperature measuring value is greater than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature measuring value is less than or equal to the station temperature data, and generating a temperature different signal;
according to the stored data, performing migration processing on corresponding station bit data, station vibration data, station time data and vibration and image speed mean values to obtain station migration positive signals and station migration different signals;
carrying out station line processing on the corresponding station connection data and station connection bit data according to the stored data to obtain a line positive signal and a line abnormal signal;
extracting a temperature positive signal, a temperature different signal, a station shift positive signal, a station shift different signal, a line positive signal and a line different signal, identifying the temperature positive signal, the temperature different signal, the station shift different signal and the line different signal, judging that potential safety hazards exist in the power station when any one of the temperature different signal, the station shift different signal and the line different signal is identified, generating a danger signal, automatically extracting corresponding station temperature data, a station position value and a station line value when the temperature positive signal, the station shift positive signal and the line positive signal are identified to appear simultaneously, bringing the station temperature data, the station position value and the station line value into a safety computing formula together, and calculating a safety value AYi;
setting a safety preset value M, comparing the safety preset value M with a safety value AYi, judging the safety of the equipment when M is greater than AYi, and judging the existence of hidden danger in the equipment when M is less than or equal to AYi to generate a hidden danger signal.
Further, the calculation formula of the station temperature value is specifically as follows:
wherein JWi represents the calculated temperature of the equipment, i.e. the measured station temperature value, CW represents the initial temperature data, WBi represents the temperature dependent value, ZSi represents the difference between the time point when the equipment starts to operate and the time point when the equipment is calculated, i.e. the station time difference value, ZHi represents the station loop data, HYi represents the loop dependent value, u1 represents the station loop data, the initial temperature data, the loop dependent value, the station time difference value and the numerical conversion factor between the temperature dependent value and the measured station temperature value, and e represents the calculated deviation adjustment factor of the measured station temperature value;
the implicit calculation formula is specifically as follows:
AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station value, ZZi is expressed as a station line value, v1 is expressed as a weight coefficient of the station temperature data to the safety value, v2 is expressed as a weight coefficient of the station value to the safety value, v3 is expressed as a weight coefficient of the station line value to the safety value, b is expressed as a numerical conversion factor for converting the station temperature data, the station value and the station line value into the safety value, g is expressed as a deviation correction factor of the station temperature data, the station value and the station line value during conversion, and v1 > v2 > v3 > 0.
Further, according to the stored data, the corresponding station bit data, station vibration data, station time data and vibration and image velocity mean value are subjected to set shift processing, specifically:
selecting station time data storing data which just starts to move and station bit data corresponding to the current station time data respectively, marking the positions of two different station bit data in a virtual coordinate system, calculating the distance according to the pythagorean theorem and calculating the station position value;
the station vibration data, the station time data and the vibration and shadow speed mean value are brought into a vibration and displacement calculation formula, a movement value is calculated, the movement value is compared with a station position value, when the movement value is larger than the station position value, the movement vibration and displacement is judged to be normal, a station displacement positive signal is generated, when the movement value is smaller than or equal to the station position value, the movement vibration and displacement is judged to be abnormal, and a station displacement abnormal signal is generated;
and performing station line processing on the corresponding station connection data and station connection bit data according to the storage data, specifically:
carrying out position marking on two different station serial data in a virtual coordinate system, carrying out distance calculation according to the pythagorean theorem, and calculating an outbound line value;
substituting the moving value and the set line shadow value into a calculation formula: the method comprises the steps that a line shift value = a shift value, a line shadow value is set, the line shift value is represented as a shift calculation value of a connecting line, the line shift value is compared with a station line value, when the line shift value is larger than the station line value, the station line is judged to be normally moved, a line positive signal is generated, when the line shift value is smaller than or equal to the station line value, the station line is judged to be abnormally moved, and a line differential signal is generated.
Further, the sending station response unit receives the hidden danger signal and the danger signal, and performs signal conversion on the hidden danger signal and the danger signal, specifically:
the danger signal is converted into an alarm signal, the alarm signal is transmitted to the prompting unit while the alarm sound is emitted, the hidden danger signal is converted into a prompting signal, and the prompting signal is sent to the prompting unit;
and the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager to process the signals.
The invention has the beneficial effects that:
(1) the method comprises the steps of processing the previous related data of the power station to obtain corresponding classification data, and identifying and matching the related data of the power station which is carried out in real time according to the classification data, so that the type of the related equipment which is monitored in real time is determined, the time consumed by artificial identification is saved, and the working efficiency is improved;
(2) the method comprises the steps of performing correlation analysis on various data through identification and integration of the relevant data of the power station, processing influence values of various influencing factors, performing safety analysis on equipment in operation, calculating and judging the correlation degree of the relevant data to determine whether the equipment is normal or not, and performing safety calculation on the judged data again to secondarily judge the abnormality of the equipment, increase the safety of the equipment, increase the accuracy of data analysis and guarantee the safe operation of a power station.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a supervision and early warning control system of a new energy power station, which is characterized by comprising a new station detection unit, an identification unit, a station storage unit, a pipe unit, a power station monitoring unit, a station danger early warning unit, a station sending response unit and a prompt unit;
the new station detection unit is used for monitoring relevant data in a power station in real time, the relevant data obtained by real-time monitoring is marked as real monitoring information, the real monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station bit data, station vibration data, station connection data and station connection bit data, the station time data refers to a time point corresponding to the relevant data of the real-time monitoring equipment, the station temperature data refers to the temperature corresponding to the real-time monitoring equipment, the station ring data refers to the ambient temperature around the real-time monitoring equipment, the station bit data refers to the position of the real-time monitoring equipment, the station vibration data refers to the vibration amplitude of the real-time monitoring equipment, the station connection data refers to a connecting line corresponding to the real-time monitoring equipment, the station connection bit data refers to the position of the connecting line corresponding to the real-time monitoring equipment, and the real monitoring information is transmitted to the identification unit;
the station storage unit is internally stored with station storage information related to the operation of the previous power station, the station storage information comprises storage data, time storage data, temperature storage data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage bit data, wherein the storage data refers to each stored device, the time point corresponding to the data related to the storage device is referred to by the time data, the temperature storage data refers to the temperature corresponding to the stored device, the ring storage data refers to the ambient temperature around the storage device, the position of the device is referred to by the bit storage data, the appearance picture of the device is referred to by the image storage data, the vibration amplitude of the device is referred to by the vibration storage data, the connection line corresponding to the device is referred to by the connection line, and the connection bit data refers to the position of the connection line corresponding to the device, the station storage information is obtained from the station storage unit by the identification unit and is subjected to identification operation with the real monitoring information, the specific operation process of the identification operation comprises the following steps:
acquiring and identifying the storage data, the storage map data and the station shadow data, and specifically comprising the following steps:
matching the stored image data with the station shadow data:
when an image consistent with the image storage data is matched in the station image data, extracting the storage data corresponding to the image storage data, judging the image to be a corresponding equipment image, generating a matching success signal, and marking the corresponding equipment image as the station data;
when the image which is consistent with the stored image data cannot be matched in the station image data, judging that no stored data exists in the station image data, and generating a matching failure signal;
extracting a matching success signal and a matching failure signal, and identifying the signals, specifically:
when a matching success signal is identified, automatically extracting time storage data, temperature storage data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage data corresponding to the storage data, and transmitting the data to a power station monitoring unit through a pipe unit;
when a matching failure signal is identified, generating a secondary monitoring signal, transmitting the secondary monitoring signal to a new station detection unit, and monitoring relevant data in the power station in real time again by the new station detection unit according to the secondary monitoring signal;
the power station monitoring and distributing unit is used for monitoring and distributing the stored data and the corresponding time storage data, temperature storage data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage bit data, and the specific operation process of the monitoring and distributing operation is as follows:
extracting corresponding time data, temperature data and ring data according to the stored data, selecting the temperature data when the time data is zero, calibrating the temperature data as initial temperature data, selecting the stored temperature data under different stored data under the same ring data, bringing the stored temperature data into a difference value calculation formula, calculating the stored temperature data under two different stored data, calibrating the stored temperature data as a stored temperature difference value, calculating the difference value of the two stored data corresponding to the stored temperature difference value, calibrating the difference value into a time difference value, selecting a plurality of groups of time difference values and stored temperature difference values with the same condition difference, carrying out mean value calculation on the time difference values and the stored temperature difference values, calculating a time mean value and a stored temperature mean value, and bringing the time mean value and the stored temperature mean value into a temperature change calculation formula: storing the temperature mean value = a time mean value and a temperature dependent value, and calculating the temperature dependent value;
selecting temperature storage data and ring storage data of the same storage data under the same storage data condition, calculating temperature storage data of two same storage data under different ring storage data, performing difference calculation on the corresponding temperature storage data, calculating temperature difference data, performing difference calculation on the ring storage data corresponding to the two same storage data, calculating ring storage difference values, selecting a plurality of groups of ring storage difference values and temperature difference data under the same conditions, performing mean value calculation on the ring storage difference values, calculating ring storage mean values and temperature difference mean values, and bringing the ring storage mean values and the temperature difference mean values into a calculation formula: temperature difference mean = ring mean ring dependent value;
selecting corresponding storage bit data, storage vibration data and storage time data according to the storage data, establishing a virtual coordinate system, marking the storage data in the virtual coordinate system, marking coordinate points corresponding to the storage data as storage coordinate points, calculating the distance between every two adjacent storage data according to the pythagorean theorem, and marking the distance as an adjacent distance value;
selecting the storage bit data of the storage data after the working setting time, calibrating the storage bit data into storage bit data, calculating the distance difference between the storage bit data and the storage bit data, specifically calculating by using the pythagorean theorem to calculate the displacement value, selecting the corresponding vibration storage data and the vibration storage data, summing the vibration storage data to calculate the total vibration storage value, calculating the difference between the initial vibration storage data and the selected vibration storage data to calculate the second time difference value, and bringing the second time difference value, the total vibration storage value and the displacement value into a vibration displacement calculation formula: calculating the vibration and shadow velocity value according to the displacement value = two time difference value, vibration and shadow velocity value, calculating the vibration and shadow velocity value for a plurality of times according to the same processing mode, calculating the mean value of the vibration and shadow velocity value corresponding to a plurality of times, and calculating the mean value of the vibration and shadow velocity;
select out the data are being established in the storage of a plurality of operation to automatic acquisition corresponds to deposit the temperature data of establishing the data, and a plurality of deposits the temperature data that the data correspond and is inequality, and a plurality of deposits the distance between establishing the data inequality, carries out temperature transmission to it and handles, specifically does:
selecting two stored data, selecting corresponding temperature when the distance between the two stored data is zero, calibrating the temperature as a first temperature and a second temperature, simultaneously extracting temperature storage data when two storage data with completely same operating conditions are stored independently, respectively marking the temperature storage data as a temperature storage value and a temperature storage value, respectively calculating the difference value between the temperature storage value and the first temperature and the second temperature, calculating the first temperature difference and the second temperature difference, selecting the temperature corresponding to the lower temperature storage data in the two storage data, performing the difference value calculation between the temperature storage data and the corresponding first temperature difference or second temperature difference, calculating the influence temperature difference, keeping other conditions unchanged according to the calculation method of the influence temperature difference, increasing the distance between the two storage data, calculating the influence temperature difference, and bringing the influence temperature difference and the distance value between the influence temperature difference and the two storage data into a calculation formula together: calculating a distance change value, wherein the distance value is represented by the distance between two stored data, calculating the distance change values corresponding to the two stored data under the condition of different distances according to the same method, calculating the mean value of the distance change values, and calculating the distance change mean value;
selecting storage connection data and storage connection bit data according to the storage data, carrying out position marking on the storage connection bit data in a virtual coordinate system corresponding to the storage bit data according to the storage connection bit data corresponding to the storage connection data, calculating the distance between the storage connection bit data and other equipment according to the pythagorean theorem, calibrating the distance as a line distance value, selecting the distance between the storage connection bit data generating a displacement value and the other equipment, calibrating the distance as a shadow distance value, carrying out difference calculation on the shadow distance value and the line distance value, calculating a line outlet difference value, and bringing the line difference value and the displacement value into a calculation formula together: the line difference value = displacement value is set with line shadow value, and the set line shadow value is calculated;
extracting a set line shadow value, a vibration shadow speed average value, a distance variation average value, a ring factor variation value and a temperature factor variation value, and transmitting the set line shadow value, the vibration shadow speed average value, the ring factor variation value, the distance variation average value and the temperature factor variation value together with stored data, station time data, initial temperature data, station ring data, station bit data, station shadow data, station vibration data, station connection data and station connection data to a station danger early warning unit;
station danger early warning unit is used for establishing line shadow value, shake shadow fast mean value, ring because of variable value, temperature because of variable value, deposit and establish data, apart from variable mean value, station time data, station temperature data, station shadow data, station ring data, initial temperature data, station bit data, station shake data, station even data and station even data carry out the safety precaution operation, and the concrete operation process of safety precaution operation is:
and according to the stored data, bringing corresponding station time data, station temperature data, station ring data, initial temperature data, ring factor change values and temperature factor change values into a calculation formula together:
wherein JWi represents the calculated temperature of the equipment, i.e., the station temperature value, CW represents the initial temperature data, WBi represents the temperature dependent value, Zsi represents the difference between the time point when the equipment starts to operate and the time point when it is calculated, i.e., the station timeA difference value ZHi is expressed as station ring data, HYi is expressed as a ring factor, u1 is expressed as the station ring data, initial temperature data, a ring factor, a station time difference value and a numerical conversion factor between the temperature factor and a station temperature measurement value, and e is expressed as a calculation deviation adjustment factor of the station temperature measurement value, wherein the related data in the calculation formula are quantized data, only the corresponding numerical values are selected, and no unit is carried;
comparing the station temperature measuring value with the station temperature data, judging that the temperature is normal when the station temperature measuring value is greater than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature measuring value is less than or equal to the station temperature data, and generating a temperature different signal;
according to the stored data, the corresponding station data, station vibration data, station time data and vibration and image speed mean value are subjected to set shift treatment, and the method specifically comprises the following steps:
selecting station time data storing data which just starts to move and station bit data corresponding to the current station time data respectively, marking the positions of two different station bit data in a virtual coordinate system, calculating the distance according to the pythagorean theorem and calculating the station position value;
the station vibration data, the station time data and the vibration and image speed mean value are brought into a vibration and displacement calculation formula, a displacement value is calculated, the displacement value is compared with a station position value, when the displacement value is greater than the station position value, the displacement vibration is judged to be normal, a station displacement positive signal is generated, when the displacement value is less than or equal to the station position value, the displacement vibration is judged to be abnormal, and a station displacement abnormal signal is generated;
and performing station line processing on the corresponding station connection data and station connection bit data according to the storage data, specifically:
carrying out position marking on two different station serial data in a virtual coordinate system, carrying out distance calculation according to the pythagorean theorem, and calculating an outbound line value;
substituting the moving value and the set line shadow value into a calculation formula: the method comprises the steps that a line shift value = a shift value, a line shadow value is set, the line shift value is represented as a shift calculation value of a connecting line, the line shift value is compared with a station line value, when the line shift value is larger than the station line value, the station line is judged to be normally moved, a line positive signal is generated, when the line shift value is smaller than or equal to the station line value, the station line is judged to be abnormally moved, and a line abnormal signal is generated;
extracting a temperature positive signal, a temperature different signal, a station shift positive signal, a station shift different signal, a line positive signal and a line different signal, and identifying the signals, when any one of the temperature different signal, the station shift different signal and the line different signal is identified, judging that potential safety hazards exist in the power station, generating dangerous signals, when the temperature positive signal, the station shift positive signal and the line positive signal are identified to appear simultaneously, automatically extracting corresponding station temperature data, station position values and station line values, and bringing the station temperature data, the station position values and the station line values into a security calculation formula together:
AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station value, ZZi is expressed as a station line value, v1 is expressed as a weight coefficient of the station temperature data to the safety value, v2 is expressed as a weight coefficient of the station value to the safety value, v3 is expressed as a weight coefficient of the station line value to the safety value, b is expressed as a numerical conversion factor for converting the station temperature data, the station value and the station line value into the safety value, g is expressed as a deviation correction factor of the station temperature data, the station value and the station line value in the conversion process, and v1 > v2 > v3 > 0;
setting a safety preset value M, comparing the safety preset value M with a safety value AYi, judging the safety of equipment when M is greater than AYi, and judging the existence of hidden danger in the equipment when M is less than or equal to AYi to generate a hidden danger signal;
transmitting the hidden danger signals and the danger signals to a transmitting station response unit;
the station sending response unit receives the hidden danger signals and the danger signals, converts the hidden danger signals and the danger signals into alarm signals, transmits the alarm signals to the prompting unit while sending out alarm sounds, converts the hidden danger signals into the prompting signals and sends the prompting signals to the prompting unit;
the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager to process the signals, and is specifically an intelligent display screen or a tablet computer.
When the intelligent monitoring system works, the new station detection unit is used for monitoring relevant data in a power station in real time, the relevant data obtained through real-time monitoring is marked as real monitoring information, the real monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station bit data, station vibration data, station connection data and station connection data, and the station shadow data, the station time data, the station temperature data, the station ring data, the station bit data, the station vibration data, the station connection data and the station connection data are transmitted to the identification unit; the identification unit acquires the station memory information from the station memory unit, performs identification operation on the station memory information and the real monitoring information to obtain memory data and corresponding time memory data, temperature memory data, ring memory data, bit memory data, map memory data, vibration memory data, link memory data and link memory data, and transmits the data to the power station monitoring unit through the pipeline unit; the power station supervision and distribution unit carries out supervision and distribution operation on the stored data and corresponding time data, temperature data, ring data, position data, image data, vibration data, connecting data and connecting data to obtain a set line shadow value, a vibration shadow speed average value, a distance variation average value, a ring factor variation value and a temperature factor variation value, and transmits the set line shadow value, the vibration shadow speed average value, the distance variation average value, the ring factor variation value and the temperature factor variation value to the station danger early warning unit together with the station time data, initial temperature data, station ring data, station position data, station shadow data, station vibration data, station connecting data and station connecting data; the station danger early warning unit carries out safety early warning operation on the set line shadow value, the vibration shadow speed average value, the ring factor variable value, the temperature factor variable value, the stored data, the distance variable average value, the station time data, the station temperature data, the station shadow data, the station ring data, the initial temperature data, the station bit data, the station vibration data, the station connection data and the station connection bit data to obtain a hidden danger signal and a danger signal, and transmits the hidden danger signal and the danger signal to the station sending response unit; the station sending response unit receives the hidden danger signals and the danger signals, converts the hidden danger signals and the danger signals into alarm signals, transmits the alarm signals to the prompting unit while sending out alarm sounds, converts the hidden danger signals into the prompting signals and sends the prompting signals to the prompting unit; and the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager to process the signals.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A supervision early warning control system of a new energy power station is characterized by comprising a new station detection unit, an identification unit, a station storage unit, a management unit, a power station supervision unit, a station danger early warning unit, a station sending response unit and a prompt unit;
the new station detection unit is used for monitoring relevant data in the power station in real time, marking the relevant data obtained by real-time monitoring as real monitoring information, and transmitting the real monitoring information to the identification unit;
the station storage unit is internally stored with station storage information related to the operation of the previous power station, the identification unit acquires the station storage information from the station storage unit and performs identification operation on the station storage information and the real monitoring information to obtain storage data and corresponding time storage data, temperature storage data, station shadow data, ring storage data, bit storage data, image storage data, vibration storage data, connection storage data and connection storage bit data, and transmits the storage data to the management unit;
the tube position unit is used for carrying out relevant data analysis and calculation on the station storage information and the station shadow data, and processing to obtain a set line shadow value, a vibration shadow speed average value, a distance variation average value, a ring factor variation value and a temperature factor variation value;
the station danger early warning unit is used for carrying out safety early warning on the real monitoring information and the set line shadow value, the vibration shadow speed average value, the distance variable average value, the ring factor variable value and the temperature factor variable value obtained by the processing of the pipe position unit, and processing a hidden danger signal and a danger signal;
the station sending response unit is used for carrying out signal conversion on the hidden danger signals and the danger signals and sending the converted prompt signals and alarm signals to the prompt unit;
the prompting unit is used for receiving and displaying a prompting signal and an alarm signal.
2. The supervision and early warning control system of the new energy power station as claimed in claim 1, wherein the real supervision information comprises station shadow data, station time data, station temperature data, station ring data, station bit data, station vibration data, station connection data and station connection data;
the station storage information comprises storage data, time storage data, temperature storage data, ring storage data, bit storage data, image storage data, vibration storage data, link storage data and link storage bit data.
3. The supervision and early warning control system of the new energy power station as claimed in claim 2, characterized in that the data analysis and calculation related to the station storage information and the station shadow data are calibrated as the monitoring and classifying operation, and the specific operation process of the monitoring and classifying operation is as follows:
extracting corresponding time storage data, temperature storage data and ring storage data according to the storage data, and performing temperature change processing to obtain a temperature factor value;
selecting temperature storage data and ring storage data under the same storage data and the same storage time data, and calculating a ring factor value according to a calculation process control variable of the temperature factor value;
selecting corresponding storage bit data, storage vibration data and storage time data according to the storage data, carrying out vibration velocity influence processing, calculating a vibration and image velocity value, carrying out calculation on the vibration and image velocity value for a plurality of times according to the same processing mode, carrying out mean value calculation on a plurality of corresponding vibration and image velocity values, and calculating a vibration and image velocity mean value;
selecting a plurality of running storage data, automatically acquiring storage temperature data corresponding to the storage data, carrying out temperature transfer processing on the storage data when the storage temperature data corresponding to the storage data are different and the distances among the storage data are different, and processing to obtain a distance variation average value;
selecting continuous storage data and continuous storage bit data according to the storage data, calculating a line distance value in a virtual coordinate system corresponding to the continuous storage data according to the continuous storage bit data corresponding to the continuous storage data, selecting the distance between the continuous storage bit data generating a displacement value and other equipment, calibrating the distance value as a shadow distance value, performing difference calculation on the shadow distance value and the line distance value, calculating a line difference value, and bringing the line difference value and the displacement value into a calculation formula together: line difference = displacement value set line shadow value, and the set line shadow value is calculated.
4. The supervision and early warning control system of the new energy power station as claimed in claim 3, characterized in that the specific processing procedure of the temperature change processing is as follows:
selecting temperature data when the time storage data is zero, calibrating the temperature data as initial temperature data, selecting the time storage data under different time storage data under the same time storage ring data, bringing the time storage data into a difference value calculation formula, calculating the time storage data under two different time storage data, calibrating the time storage data as a temperature storage difference value, calculating a difference value of the two time storage data corresponding to the temperature storage difference value, calibrating the time storage data as a time difference value, selecting a plurality of groups of time difference values and temperature storage difference values under the same condition difference, carrying out mean value calculation on the time difference values and the temperature storage mean values, bringing the time mean value and the temperature storage mean value into a temperature change calculation formula, and calculating a temperature factor value;
the specific treatment process of the vibration velocity influence treatment comprises the following steps: establishing a virtual coordinate system, marking the stored data in the virtual coordinate system, marking coordinate points corresponding to the stored data as stored coordinate points, calculating the distance between every two adjacent stored data according to the pythagorean theorem, and marking the distance as an adjacency distance value;
selecting the storage bit data of the storage data after working setting time, calibrating the storage bit data into storage bit data, calculating the distance difference between the storage bit data and the storage bit data, specifically calculating by using the pythagorean theorem to calculate a displacement value, selecting the corresponding vibration storage data and the vibration storage data, summing the vibration storage data to calculate a total vibration storage value, calculating the difference between the initial time storage data and the selected time storage data to calculate a two-time difference value, bringing the two-time difference value, the total vibration storage value and the displacement value into a vibration displacement calculation formula, and calculating the vibration and shadow velocity value.
5. The supervision and early warning control system of the new energy power station as claimed in claim 4, wherein the specific process of the temperature transmission process is as follows:
selecting two storage data, when the distance between the two storage data is zero, selecting corresponding temperature, calibrating the temperature as a first temperature and a second temperature, simultaneously extracting the storage temperature data when the two storage data with the same operating conditions are stored independently, calibrating the storage temperature data as a storage temperature value and a storage temperature value respectively, calculating the difference value between the storage temperature value and the first temperature and the second temperature, calculating a first temperature difference and a second temperature difference, selecting the temperature corresponding to the storage data with the lower temperature from the two storage data, calculating the difference value between the temperature corresponding to the storage data with the lower temperature and the corresponding first temperature difference or the second temperature difference, and calculating the influence temperature difference;
according to the calculation method of the influence temperature difference, other conditions are kept unchanged, the distance between the two storage data is increased, the influence temperature difference is calculated, and the influence temperature difference, the influence temperature difference and the distance value between the two storage data are added into a calculation formula together: and calculating a distance change value, wherein the distance value is represented by the distance between two stored data, calculating the distance change values corresponding to the two stored data under the condition of different distances according to the same method, calculating the mean value of the distance change values, and calculating the distance change mean value.
6. The supervision and early warning control system of the new energy power station as claimed in claim 5, characterized in that the specific operation process of the safety early warning operation is as follows:
according to the stored data, bringing the corresponding station time data, station temperature data, station loop data, initial temperature data, loop factor variation value and temperature factor variation value into a station temperature value calculation formula together, and calculating a station temperature value JWi;
comparing the station temperature measuring value with the station temperature data, judging that the temperature is normal when the station temperature measuring value is greater than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature measuring value is less than or equal to the station temperature data, and generating a temperature different signal;
according to the stored data, performing migration processing on corresponding station bit data, station vibration data, station time data and vibration and image speed mean values to obtain station migration positive signals and station migration different signals;
carrying out station line processing on the corresponding station connection data and station connection bit data according to the stored data to obtain a line positive signal and a line abnormal signal;
extracting a temperature positive signal, a temperature differential signal, a station shift positive signal, a station shift differential signal, a line positive signal and a line differential signal, identifying the signals, judging that potential safety hazards exist in the power station when any one of the temperature differential signal, the station shift differential signal and the line differential signal is identified, generating a danger signal, automatically extracting corresponding station temperature data, station position values and station line values when the temperature positive signal, the station shift positive signal and the line positive signal are identified to be simultaneously present, bringing the station temperature data, the station position values and the station line values into a safety hidden calculation formula, and calculating a safety value AYi;
setting a safety preset value M, comparing the safety preset value M with a safety value AYi, judging the safety of the equipment when M is larger than AYi, and judging the existence of hidden danger in the equipment when M is smaller than or equal to AYi to generate a hidden danger signal.
7. The supervision and early warning control system of the new energy power station as claimed in claim 6, wherein the calculation formula of the station temperature value is specifically as follows:
wherein JWi represents the calculated temperature of the equipment, i.e. the measured station temperature value, CW represents the initial temperature data, WBi represents the temperature dependent value, ZSi represents the difference between the time point when the equipment starts to operate and the time point when the equipment is calculated, i.e. the station time difference value, ZHi represents the station loop data, HYi represents the loop dependent value, u1 represents the station loop data, the initial temperature data, the loop dependent value, the station time difference value and the numerical conversion factor between the temperature dependent value and the measured station temperature value, and e represents the calculated deviation adjustment factor of the measured station temperature value;
the implicit calculation formula is specifically as follows:
AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station value, ZZi is expressed as a station line value, v1 is expressed as a weight coefficient of the station temperature data to the safety value, v2 is expressed as a weight coefficient of the station value to the safety value, v3 is expressed as a weight coefficient of the station line value to the safety value, b is expressed as a numerical conversion factor for converting the station temperature data, the station value and the station line value into the safety value, g is expressed as a deviation correction factor of the station temperature data, the station value and the station line value during conversion, and v1 > v2 > v3 > 0.
8. The supervision and early warning control system of the new energy power station according to claim 7, characterized in that the corresponding station bit data, station vibration data, station hour data and vibration image velocity mean value are set according to the stored data, specifically:
selecting station time data storing data which just starts to move and station bit data corresponding to the current station time data respectively, marking the positions of two different station bit data in a virtual coordinate system, calculating the distance according to the pythagorean theorem and calculating the station position value;
the station vibration data, the station time data and the vibration and shadow speed mean value are brought into a vibration and displacement calculation formula, a movement value is calculated, the movement value is compared with a station position value, when the movement value is larger than the station position value, the movement vibration and displacement is judged to be normal, a station displacement positive signal is generated, when the movement value is smaller than or equal to the station position value, the movement vibration and displacement is judged to be abnormal, and a station displacement abnormal signal is generated;
and performing station line processing on the corresponding station connection data and station connection bit data according to the storage data, specifically:
carrying out position marking on two different station serial data in a virtual coordinate system, carrying out distance calculation according to the pythagorean theorem, and calculating an outbound line value;
substituting the moving value and the set line shadow value into a calculation formula: the method comprises the steps that a line shift value = a shift value, a line shadow value is set, the line shift value is represented as a shift calculation value of a connecting line, the line shift value is compared with a station line value, when the line shift value is larger than the station line value, the station line is judged to be normally moved, a line positive signal is generated, when the line shift value is smaller than or equal to the station line value, the station line is judged to be abnormally moved, and a line differential signal is generated.
9. The supervision and early warning control system of the new energy power station according to claim 8, wherein the station sending response unit receives the hidden danger signal and the danger signal and converts the signals, specifically:
the danger signal is converted into an alarm signal, the alarm signal is transmitted to the prompting unit while the alarm sound is emitted, the hidden danger signal is converted into a prompting signal, and the prompting signal is sent to the prompting unit;
and the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager to process the signals.
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