CN114583827B - New energy power station supervision early warning control system - Google Patents

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 pipe unit, a power station monitoring unit, a station danger early warning unit, a station sending response unit and a prompting unit; the invention carries out association analysis on various data by identifying and integrating relevant data of a power station, carries out processing of influence values of various influence factors, carries out safety analysis on running equipment, and determines whether the running equipment is normal or not by calculating and judging the association degree of the relevant data.

Description

New energy power station supervision early warning control system

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 for converting various primary energy resources stored in the nature into electric energy, along with the increase of electric power demand, people start to propose the assumption of establishing an electric power production center, the development of motor manufacturing technology and the expansion of electric energy application range are realized, the electric power demand for production is rapidly increased, the power station is generated along with the expansion, and the power station brings great convenience to our lives, but also has some potential safety hazards;

the safety detection and early warning of the existing power station are that temperature and images are acquired by the power station, so that management personnel monitor in monitoring, the management personnel are required to monitor in real time, a large amount of manpower resources are consumed, the safety detection and early warning of the existing power station can not be realized only after unexpected situations occur, the safety analysis of equipment can not be performed when the equipment operates, the comprehensive processing analysis is performed according to the operation of the equipment and related influencing factors, and the existing potential safety hazards are found in advance;

therefore, we propose a new energy power station supervision and early warning control system.

Disclosure of Invention

The invention aims to provide a supervision and early warning control system of a new energy power station, which is used for carrying out association analysis on various data through identification and integration of relevant data of the power station, carrying out security analysis on operating equipment by processing influence values of various influence factors, determining whether the equipment operates normally or not through association calculation and judgment of the relevant data, and simultaneously carrying out security calculation on the judged data again, thereby secondarily judging equipment abnormality, improving equipment security, increasing data analysis accuracy and guaranteeing safe operation of the power station.

The aim of the invention can be achieved 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 setting 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 prompting unit;

the new station detection unit is used for monitoring the related data in the power station in real time, calibrating the related data obtained by the real-time monitoring as real monitoring information, and transmitting the real monitoring information to the identification unit;

the station memory unit is used for acquiring station memory information from the station memory unit, performing a station memory operation with the real monitoring information to obtain memory data, corresponding time memory data, temperature memory data, station shadow data, ring memory data, bit memory data, graph memory data, vibration memory data, connection memory data and connection memory bit data, and transmitting the memory data and the corresponding connection memory data, the ring memory data, the bit memory data, the graph memory data, the vibration memory data, the connection memory data and the connection memory bit data to the pipe unit;

the pipe 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, a vibration shadow speed average value, a distance change average value, a ring factor change value and a temperature factor change value;

the station danger early warning unit is used for processing the real monitoring information and the set line shadow value, the vibration shadow speed average value, the distance change average value, the ring factor change value and the temperature factor change value which are obtained by the processing of the pipe position unit to perform the safety early warning of the power station, and processing hidden danger signals and danger signals;

the station-departure response unit is used for carrying out signal conversion on the hidden danger signals and the dangerous signals and sending the converted prompting signals and alarm signals to the prompting unit;

the prompting unit is used for receiving and displaying prompting signals and alarm signals.

Further, the real monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station position data, station vibration data, station connection data and station connection data;

the station memory information comprises memory data, time memory data, temperature memory data, ring memory data, bit memory data, image memory data, vibration memory data, connection memory data and connection memory bit data.

Further, the data analysis and calculation related to the station storage information and the station shadow data are calibrated as a monitoring operation, and the specific operation process of the monitoring operation is as follows:

extracting corresponding time-saving data, temperature-saving data and ring-saving data according to the stored data, and performing temperature change treatment to obtain a temperature factor value;

selecting stored temperature data and stored ring data of the same stored data under the condition of the same stored 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, performing vibration speed influence processing, calculating a vibration image speed value, performing a plurality of times of calculation on the vibration image speed value according to the same processing mode, performing average value calculation on a plurality of corresponding vibration image speed values, and calculating a vibration image speed average value;

selecting a plurality of running stored data, automatically acquiring stored temperature data corresponding to the stored data, wherein the stored temperature data corresponding to the stored data are different, the distances among the stored data are different, and performing temperature transfer processing on the stored data to obtain a distance-variable average value;

selecting the memory connection data and the memory connection bit data according to the memory connection data corresponding to the memory connection data, calculating a line distance value according to a virtual coordinate system corresponding to the memory connection bit data, selecting the distance between the memory connection bit data and other devices after generating the displacement value, calibrating the distance 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: the line difference value=displacement value×line shadow value is set, and the line shadow value is calculated.

Further, the specific treatment process of the temperature change treatment is as follows:

the method comprises the steps of selecting temperature data when stored data are zero, calibrating the temperature data as initial temperature data, selecting stored temperature data of different stored data under the same stored ring data, bringing the stored temperature data into a differential value calculation formula, calculating stored temperature data of two different stored data, calibrating the stored temperature data into stored temperature difference values, calculating the difference value of the two stored data corresponding to the stored temperature difference values, calibrating the difference value as 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, calculating a time average value and a stored Wen Junzhi, bringing the time average value and the stored temperature average value into a Wen Bianji calculation formula, and calculating a temperature change value;

the specific treatment process of vibration speed influence treatment comprises the following steps: establishing a virtual coordinate system, marking stored data in the virtual coordinate system, calibrating 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 calibrating the distance as a neighbor distance value;

selecting storage data of the storage data after working setting time, calibrating the storage data as storage data, carrying out distance difference calculation on the storage data and the storage data, calculating a displacement value by a Pythagorean theorem, selecting corresponding storage vibration data and storage time data, carrying out summation calculation on the storage vibration data, calculating a storage vibration total value, carrying out difference calculation on initial storage time data and the selected storage time data, calculating a two-time difference value, and carrying the two-time difference value, the storage vibration total value and the displacement value into a vibration displacement calculation formula to calculate a vibration shadow speed value.

Further, the specific treatment process of the temperature transfer treatment is as follows:

selecting two stored data, when the distance between the two stored data is zero, selecting corresponding temperatures, calibrating the two stored data to be a first temperature and a second temperature, simultaneously extracting stored temperature data when the two stored data with identical operation conditions are stored independently, calibrating the two stored data to be a stored temperature value and a two stored temperature value respectively, carrying out difference calculation on the stored temperature value and the two stored temperature values with the first temperature and the second temperature respectively, calculating a first temperature difference and a second temperature difference, selecting a temperature corresponding to one stored data with low temperature in the two stored data, carrying out difference calculation on the temperature corresponding to the corresponding first temperature difference or the second temperature difference, and calculating an influence temperature difference;

according to the calculation method of the influence temperature difference, other conditions are kept unchanged, the distance between two stored data is increased, the influence temperature difference is calculated, and the influence temperature difference and the distance value between the influence temperature difference and the two stored data are added into a calculation formula: the method comprises the steps of calculating a distance change value by influencing a temperature difference-distance influencing temperature difference = distance value, wherein the distance value is expressed as a distance between two stored data, calculating the distance change values corresponding to the two stored data under different distances according to the same method, carrying out mean value calculation on the distance change values, and calculating a distance change mean value.

Further, the specific operation process of the safety early warning operation is as follows:

according to the stored data, the corresponding station time data, station temperature data, station loop data, initial temperature data, loop factor values and temperature factor values are brought into a station temperature value calculation method to calculate a station temperature value JWi;

comparing the station temperature value with the station temperature data, judging that the temperature is normal when the station temperature value is larger than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature value is smaller than or equal to the station temperature data, generating a temperature difference signal;

according to the stored data, corresponding station position data, station vibration data, station time data and vibration image speed average value are set and shifted to obtain a station shift positive signal and a station shift abnormal signal;

according to the stored data, the corresponding station connection data and station connection data are subjected to station line processing 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 a power station when any one of the temperature different signal, the station shift different signal and the line different signal is identified, generating a dangerous 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 appear simultaneously, bringing the station temperature data, the station position values and the station line values into a An Yinji 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 that the equipment is safe when M is larger than AYI, and judging that the equipment has hidden danger when M is smaller than or equal to AYI, and generating hidden danger signals.

Further, the calculation of the station temperature value is specifically:

wherein JWi is represented as a calculated temperature of the equipment, namely a calculated station temperature value, CW is represented as initial temperature data, WBi is represented as a temperature-dependent value, ZSi is represented as a difference between a time point when the equipment starts to operate and a time point when the equipment is calculated, namely a station time difference value, ZHi is represented as station loop data, HYi is represented as a loop-dependent value, u1 is represented as station loop data, initial temperature data, loop-dependent value, station time difference value and a numerical conversion factor between the temperature-dependent value and the calculated station temperature value, and e is represented as a calculated deviation adjustment factor of the calculated station temperature value;

an Yin is specifically calculated as:

AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station position 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 position 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 position value and the station line value into the safety value, g is expressed as an offset correction factor for the station temperature data, the station position value and the station line value in the conversion process, and v1 > v2 > v3 > 0.

Further, according to the stored data, corresponding station position data, station vibration data, station time data and vibration image speed average value are set and moved, specifically:

station time data in which data just start to move and station position data corresponding to the current station time data are selected, two different station position data are subjected to position marking in a virtual coordinate system, distance calculation is performed according to Pythagorean theorem, and station position values are calculated;

the station vibration data, the station time data and the vibration shadow speed mean value are brought into a vibration movement 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 is judged to be normal, a station movement positive signal is generated, when the movement value is smaller than or equal to the station position value, the movement vibration is judged to be abnormal, and a station movement abnormal signal is generated;

the corresponding station connection data and station connection data are processed by the station line according to the stored data, and the method specifically comprises the following steps:

position marking is carried out on two different station connection data in a virtual coordinate system, distance calculation is carried out according to Pythagorean theorem, and station line values are calculated;

the movement value and the setting line shadow value are put into the calculation formula: setting a line shadow value, wherein the line shadow value is represented as a movement calculation value of a connecting line, comparing the line shadow value with a station line value, judging that the station line moves normally when the line shadow value is larger than the station line value, generating a line positive signal, and judging that the station line moves abnormally when the line shadow value is smaller than or equal to the station line value, generating a line abnormal signal.

Further, the station-departure response unit receives the hidden danger signal and the dangerous signal and converts the hidden danger signal and the dangerous signal into signals, specifically:

the dangerous signals are converted into alarm signals, the alarm sounds are sent out and transmitted to the prompting unit, the hidden danger signals are converted into prompting signals, and the prompting signals are sent to the prompting unit;

the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager of processing.

The invention has the beneficial effects that:

(1) The corresponding classification data is obtained by processing the related data of the power station, and the related data of the power station which is performed in real time is identified and matched 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 human identification is saved, and the working efficiency is improved;

(2) The relevant data of the power station are identified and integrated, so that various data are subjected to association analysis, various influencing factors are subjected to influence value processing, safety analysis is performed on running equipment, whether the running equipment is normal or not is determined through association calculation and judgment of the relevant data, meanwhile, safety calculation is performed on the judged data again, abnormality of the equipment is judged secondarily, safety of the equipment is improved, accuracy of data analysis is improved, and safety running of the power station is guaranteed.

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 following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, the invention discloses a supervision and early warning control system for 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 response unit and a prompt unit;

the new station detection unit is used for carrying out real-time monitoring on related data in the power station, calibrating the related data obtained by real-time monitoring into real-time monitoring information, wherein the real-time monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station position data, station vibration data, station connection data and station connection data, the station time data refers to a time point corresponding to the related 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 surrounding the real-time monitoring equipment, the station position 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 wire corresponding to the real-time monitoring equipment, the station connection data refers to the position of the connecting wire corresponding to the real-time monitoring equipment, and the real-time monitoring information is transmitted to the identification unit;

the station memory unit stores station memory information related to the operation of the past power station, the station memory information comprises memory data, memory time data, memory temperature data, memory ring data, memory bit data, memory graph data, memory vibration data, memory connection data and memory connection bit data, wherein the memory data refer to each stored device, the memory time data refer to a time point corresponding to the related data of the memory device, the memory temperature data refer to the corresponding temperature size of the stored device, the memory ring data refer to the ambient temperature size around the memory device, the memory bit data refer to the position of the device, the memory graph data refer to the appearance picture of the device, the memory vibration data refer to the vibration amplitude size of the device, the memory connection data refer to a connecting wire corresponding to the device, the memory connection bit data refer to the position of the connecting wire corresponding to the device, the identification unit acquires the station memory information from the station memory unit and carries out identification operation with the real information, and the specific operation process of the identification operation comprises the following steps:

the method comprises the steps of obtaining storage data, storage image data and station shadow data, and identifying the storage data, the storage image data and the station shadow data, wherein the specific steps are as follows:

matching the stored image data with the station shadow data:

when the image consistent with the image storage data is matched from the image storage data, extracting the storage data corresponding to the image storage data, judging the image as a corresponding equipment image, generating a matching success signal, and calibrating the corresponding equipment image as the station data;

when the image consistent with the stored image data cannot be matched from the station image data, judging that the stored data does not exist in the station image data, and generating a matching failure signal;

extracting and identifying a matching success signal and a matching failure signal, wherein the matching success signal and the matching failure signal are specifically as follows:

when a successful matching signal is identified, automatically extracting time-saving data, temperature-saving data, ring-saving data, bit-saving data, graph-saving data, vibration-saving data, connection-saving data and connection-saving bit-saving data corresponding to the stored data, and transmitting the time-saving data, the temperature-saving data, the ring-saving data, the bit-saving data, the graph-saving data, the vibration-saving data, the connection-saving data and the connection-saving bit-saving data to a power station monitoring unit through a pipe unit;

when the matching failure signal is identified, a re-monitoring signal is generated, the re-monitoring signal is transmitted to a new station detection unit, and the new station detection unit monitors relevant data in the power station in real time again according to the re-monitoring signal;

the power station monitoring unit is used for carrying out monitoring operation on stored data and corresponding stored time data, stored temperature data, stored ring data, stored bit data, stored graph data, stored vibration data, stored connection data and stored connection bit data, and the specific operation process of the monitoring operation is as follows:

according to the stored data, corresponding stored time data, stored temperature data and stored ring data are extracted, temperature data when the stored time data is zero is selected and calibrated to be initial temperature data, stored temperature data of different stored time data under the same stored ring data are selected and brought into a differential value calculation formula, stored temperature data under two different stored time data are calculated and calibrated to be stored temperature difference values, the difference value of the two stored time data corresponding to the stored temperature difference values is calculated and calibrated to be a time difference value, a plurality of groups of time difference values and stored temperature difference values of the same condition difference are selected, mean value calculation is carried out, a time average value and stored Wen Junzhi are calculated, and the time average value and the stored temperature average value are brought into a Wen Bianji calculation formula: storing Wen Junzhi =a time average value of the temperature-dependent variable values, and calculating the temperature-dependent variable values;

the method comprises the steps of selecting stored temperature data and stored ring data of the same stored data under the condition of the same stored time data, calculating stored temperature data of the two same stored data under different stored ring data, carrying out difference calculation on the corresponding stored temperature data, calculating temperature difference data, carrying out difference calculation on stored ring data corresponding to the two same stored data, calculating stored ring difference, selecting a plurality of groups of stored ring difference and temperature difference data under the same condition, carrying out mean calculation on the stored ring difference and the temperature difference data, calculating stored ring mean and temperature difference mean, and carrying out stored ring mean and temperature difference mean into a calculation formula: temperature difference mean value = ring mean 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, calibrating 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 calibrating the distance as a neighbor distance value;

selecting storage data of storage data after working setting time, calibrating the storage data as storage data, carrying out distance difference calculation on the storage data and the storage data, calculating a displacement value by a Pythagorean theorem, selecting corresponding storage vibration data and storage time data, carrying out summation calculation on the storage vibration data, calculating a storage vibration total value, carrying out difference calculation on initial storage time data and the selected storage time data, calculating a two-time difference value, and carrying the two-time difference value, the storage vibration total value and the displacement value into a vibration displacement calculation formula: calculating a vibration image speed value according to the displacement value, the two time difference value and the vibration image speed value, calculating the vibration image speed value for a plurality of times according to the same processing mode, and calculating the average value of the vibration image speed values by carrying out average value calculation on the corresponding vibration image speed values to calculate the vibration image speed average value;

selecting a plurality of running stored data, automatically acquiring stored temperature data corresponding to the stored data, wherein the stored temperature data corresponding to the stored data are different, the distances among the stored data are different, and carrying out temperature transfer treatment on the stored data, and the method specifically comprises the following steps:

selecting two stored data, when the distance between the two stored data is zero, selecting corresponding temperatures, calibrating the two stored data to be a first temperature and a second temperature, simultaneously extracting stored temperature data when the two stored data with identical operation conditions are stored independently, calibrating the two stored data to be a stored temperature value and a two stored temperature value respectively, carrying out difference calculation on the stored temperature value and the two stored temperature values with the first temperature and the second temperature respectively, calculating a first temperature difference and a second temperature difference, selecting the temperature corresponding to one stored data with low temperature in the two stored data, carrying out difference calculation on the temperature corresponding to the corresponding first temperature difference or the second temperature difference, calculating an influence temperature difference, keeping other conditions unchanged according to a calculation method of the influence temperature difference, increasing the distance between the two stored data, calculating a distance influence temperature difference, and bringing the distance influence temperature difference and the influence temperature difference into a calculation formula together with increasing the distance value between the two stored data: the method comprises the steps of calculating a distance change value by influencing a temperature difference-distance influencing temperature difference = distance value, wherein the distance value is expressed as a distance between two stored data, calculating the distance change values corresponding to the two stored data under different distances according to the same method, carrying out mean value calculation on the distance change values, and calculating a distance change mean value;

selecting the storage connection data and the storage connection bit data according to the storage setting 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 bit 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 after generating a displacement value and the other equipment, calibrating the distance as a shadow distance value, carrying out difference value 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: setting a line shadow value, namely calculating the line shadow value;

extracting a set line shadow value, a vibration shadow speed average value, a distance change average value, a ring factor variable value and a temperature factor variable value, and transmitting the set line shadow value, the vibration shadow speed average value, the ring factor variable value, the distance change average value and the temperature factor variable value to a station danger early warning unit together with stored data, station time data, initial temperature data, station ring data, station position data, station shadow data, station vibration data, station connection data and station connection data;

the station danger early warning unit is used for carrying out safety early warning operation on a line shadow value, a vibration shadow speed average value, a ring factor value, a temperature factor value, stored data, a distance variable average value, station time data, station temperature data, station shadow data, station ring data, initial temperature data, station position data, station vibration data, station connection data and station connection data, and the specific operation process of the safety early warning operation is as follows:

according to the stored data, the corresponding station time data, station temperature data, station loop data, initial temperature data, loop factor value and temperature factor value are brought into a calculation formula together:the method comprises the steps of JWi, wherein JWi is expressed as calculated temperature of equipment, namely calculated station temperature value, CW is expressed as initial temperature data, WBi is expressed as temperature change value, zsi is expressed as a difference value between a time point when the equipment starts to operate and a time point when the equipment is calculated, namely station time difference value, ZHi is expressed as station loop data, HYi is expressed as loop change value, u1 is expressed as the station loop data, initial temperature data, loop change value, station time difference value and numerical conversion factor between the temperature change value and the calculated station temperature value, e is expressed as calculated deviation adjustment factor of the calculated station temperature value, wherein the related data in the calculation formula are all quantized data, only corresponding numerical values are selected and do not carry units;

comparing the station temperature value with the station temperature data, judging that the temperature is normal when the station temperature value is larger than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature value is smaller than or equal to the station temperature data, generating a temperature difference signal;

according to the stored data, corresponding station position data, station vibration data, station time data and vibration image speed average value are set and moved, and the method specifically comprises the following steps:

station time data in which data just start to move and station position data corresponding to the current station time data are selected, two different station position data are subjected to position marking in a virtual coordinate system, distance calculation is performed according to Pythagorean theorem, and station position values are calculated;

the station vibration data, the station time data and the vibration shadow speed mean value are brought into a vibration movement 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 is judged to be normal, a station movement positive signal is generated, when the movement value is smaller than or equal to the station position value, the movement vibration is judged to be abnormal, and a station movement abnormal signal is generated;

the corresponding station connection data and station connection data are processed by the station line according to the stored data, and the method specifically comprises the following steps:

position marking is carried out on two different station connection data in a virtual coordinate system, distance calculation is carried out according to Pythagorean theorem, and station line values are calculated;

the movement value and the setting line shadow value are put into the calculation formula: setting a line shadow value, wherein the line shadow value is represented as a movement calculation value of a connecting line, comparing the line shadow value with a station line value, judging that the station line moves normally when the line shadow value is larger than the station line value, generating a line positive signal, and judging that the station line moves abnormally when the line shadow value is smaller than or equal to the station line value, generating 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 station shift different signal, the line positive signal and the line different signal, judging that potential safety hazards exist in a power station when any one of the temperature different signal, the station shift different signal and the line different signal is identified, generating a dangerous 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 occur simultaneously, and bringing the station temperature data, the station position values and the station line values into a safe and hidden calculation formula:

AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station position 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 position 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 position value and the station line value into the safety value, g is expressed as an offset correction factor for the station temperature data, the station position 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 that the equipment is safe when M is larger than AYI, and judging that the equipment has hidden danger when M is smaller than or equal to AYI to generate hidden danger signals;

transmitting the hidden danger signal and the danger signal to a start station response unit;

the station-departure response unit receives the hidden danger signal and the danger signal, converts the hidden danger signal and the danger signal into alarm signals, transmits the alarm signals to the prompt unit while emitting alarm sounds, converts the hidden danger signal into prompt signals, and transmits the prompt signals to the prompt unit;

the prompting unit receives the prompting signal and the alarm signal, displays the signals, reminds a manager of processing, and is specifically an intelligent display screen or a tablet personal computer.

When the invention works, the new station detection unit is used for carrying out real-time monitoring on related data in the power station, the related 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 position 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 position data, the station vibration data, the station connection data and the station connection data are transmitted to the identification unit; the identification unit acquires station memory information from the station memory unit, carries out 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, graph memory data, vibration memory data, connection memory data and connection memory data, and transmits the memory data and the corresponding time memory data, the temperature memory data, the ring memory data, the bit memory data, the graph memory data, the vibration memory data, the connection memory data and the connection memory data to the power station monitoring unit through the pipeline unit; the power station monitoring unit monitors the stored data and corresponding stored time data, stored temperature data, stored ring data, stored bit data, stored image data, stored vibration data, stored continuous data and stored continuous bit data to obtain a set line shadow value, a vibration shadow speed average value, a distance variation average value, a ring factor variable value and a temperature factor variable value, and transmits the set line shadow value, the vibration shadow speed average value, the distance variation average value, the ring factor variable value, the temperature factor variable value, the time-of-standing data, the initial temperature data, the station ring data, the station bit data, the station shadow data, the station vibration data, the station continuous data and the station continuous bit data to the station danger early warning unit; the station danger early warning unit performs safety early warning operation on the set line shadow value, the vibration shadow speed average value, the ring factor value, the temperature factor 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 position data, the station vibration data, the station connection data and the station connection data to obtain hidden danger signals and danger signals, and transmits the hidden danger signals and the danger signals to the station sending response unit; the station-departure response unit receives the hidden danger signal and the danger signal, converts the hidden danger signal and the danger signal into alarm signals, transmits the alarm signals to the prompt unit while emitting alarm sounds, converts the hidden danger signal into prompt signals, and transmits the prompt signals to the prompt unit; the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds the manager of processing.

The foregoing is merely illustrative and explanatory of the invention, as it is well within the scope of the invention as claimed, as it relates to various modifications, additions and substitutions for those skilled in the art, without departing from the inventive concept and without departing from the scope of the invention as defined in the accompanying claims.

Claims (1)

1. The supervision early warning control system of the new energy power station is characterized by comprising a new station detection unit, an identification unit, a station storage unit, a pipe 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 related data in the power station in real time, calibrating the related data obtained by the real-time monitoring as real monitoring information, and transmitting the real monitoring information to the identification unit;

the station memory unit is used for acquiring station memory information from the station memory unit, performing a station memory operation with the real monitoring information to obtain memory data, corresponding time memory data, temperature memory data, station shadow data, ring memory data, bit memory data, graph memory data, vibration memory data, connection memory data and connection memory bit data, and transmitting the memory data and the corresponding connection memory data, the ring memory data, the bit memory data, the graph memory data, the vibration memory data, the connection memory data and the connection memory bit data to the pipe unit;

the pipe 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, a vibration shadow speed average value, a distance change average value, a ring factor change value and a temperature factor change value;

the station danger early warning unit is used for processing the real monitoring information and the set line shadow value, the vibration shadow speed average value, the distance change average value, the ring factor change value and the temperature factor change value which are obtained by the processing of the pipe position unit to perform the safety early warning of the power station, and processing hidden danger signals and danger signals;

the station-departure response unit is used for carrying out signal conversion on the hidden danger signals and the dangerous signals and sending the converted prompting signals and alarm signals to the prompting unit;

the prompting unit is used for receiving and displaying a prompting signal and an alarm signal;

the real monitoring information comprises station shadow data, station time data, station temperature data, station ring data, station position data, station vibration data, station connection data and station connection data;

the station memory information comprises memory data, time memory data, temperature memory data, ring memory data, bit memory data, image memory data, vibration memory data, connection memory data and connection memory bit data;

the data analysis and calculation related to the station storage information and the station shadow data are calibrated as a monitoring operation, and the specific operation process of the monitoring operation is as follows:

extracting corresponding time-saving data, temperature-saving data and ring-saving data according to the stored data, and performing temperature change treatment to obtain a temperature factor value;

selecting stored temperature data and stored ring data of the same stored data under the condition of the same stored 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, performing vibration speed influence processing, calculating a vibration image speed value, performing a plurality of times of calculation on the vibration image speed value according to the same processing mode, performing average value calculation on a plurality of corresponding vibration image speed values, and calculating a vibration image speed average value;

selecting a plurality of running stored data, automatically acquiring stored temperature data corresponding to the stored data, wherein the stored temperature data corresponding to the stored data are different, the distances among the stored data are different, and performing temperature transfer processing on the stored data to obtain a distance-variable average value;

selecting the memory connection data and the memory connection bit data according to the memory connection data corresponding to the memory connection data, calculating a line distance value according to a virtual coordinate system corresponding to the memory connection bit data, selecting the distance between the memory connection bit data and other devices after generating the displacement value, calibrating the distance 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: setting a line shadow value, namely calculating the line shadow value;

the specific treatment process of the temperature change treatment comprises the following steps:

the method comprises the steps of selecting temperature data when stored data are zero, calibrating the temperature data as initial temperature data, selecting stored temperature data of different stored data under the same stored ring data, bringing the stored temperature data into a differential value calculation formula, calculating stored temperature data of two different stored data, calibrating the stored temperature data into stored temperature difference values, calculating the difference value of the two stored data corresponding to the stored temperature difference values, calibrating the difference value as 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, calculating a time average value and a stored Wen Junzhi, bringing the time average value and the stored temperature average value into a Wen Bianji calculation formula, and calculating a temperature change value;

the specific treatment process of vibration speed influence treatment comprises the following steps: establishing a virtual coordinate system, marking stored data in the virtual coordinate system, calibrating 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 calibrating the distance as a neighbor distance value;

selecting storage data of the storage data after working setting time, calibrating the storage data as storage data, carrying out distance difference calculation on the storage data and the storage data, calculating a displacement value through Pythagorean theorem, selecting corresponding storage vibration data and storage time data, carrying out summation calculation on the storage vibration data, calculating a storage vibration total value, carrying out difference calculation on initial storage time data and the selected storage time data, calculating a two-time difference value, and carrying the two-time difference value, the storage vibration total value and the displacement value into a vibration displacement calculation formula to calculate a vibration shadow speed value;

the specific treatment process of the temperature transfer treatment comprises the following steps:

selecting two stored data, when the distance between the two stored data is zero, selecting corresponding temperatures, calibrating the two stored data to be a first temperature and a second temperature, simultaneously extracting stored temperature data when the two stored data with identical operation conditions are stored independently, calibrating the two stored data to be a stored temperature value and a two stored temperature value respectively, carrying out difference calculation on the stored temperature value and the two stored temperature values with the first temperature and the second temperature respectively, calculating a first temperature difference and a second temperature difference, selecting a temperature corresponding to one stored data with low temperature in the two stored data, carrying out difference calculation on the temperature corresponding to the corresponding first temperature difference or the second temperature difference, and calculating an influence temperature difference;

according to the calculation method of the influence temperature difference, other conditions are kept unchanged, the distance between two stored data is increased, the influence temperature difference is calculated, and the influence temperature difference and the distance value between the influence temperature difference and the two stored data are added into a calculation formula: the method comprises the steps of calculating a distance change value by influencing a temperature difference-distance influencing temperature difference = distance value, wherein the distance value is expressed as a distance between two stored data, calculating the distance change values corresponding to the two stored data under different distances according to the same method, carrying out mean value calculation on the distance change values, and calculating a distance change mean value;

the specific operation process of the safety early warning operation is as follows:

according to the stored data, the corresponding station time data, station temperature data, station loop data, initial temperature data, loop factor values and temperature factor values are brought into a station temperature value calculation method to calculate a station temperature value JWi;

comparing the station temperature value with the station temperature data, judging that the temperature is normal when the station temperature value is larger than the station temperature data, generating a temperature positive signal, and judging that the temperature is abnormal when the station temperature value is smaller than or equal to the station temperature data, generating a temperature difference signal;

according to the stored data, corresponding station position data, station vibration data, station time data and vibration image speed average value are set and shifted to obtain a station shift positive signal and a station shift abnormal signal;

according to the stored data, the corresponding station connection data and station connection data are subjected to station line processing 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 a power station when any one of the temperature different signal, the station shift different signal and the line different signal is identified, generating a dangerous 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 appear simultaneously, bringing the station temperature data, the station position values and the station line values into a An Yinji 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 that the equipment is safe when M is larger than AYI, and judging that the equipment has hidden danger when M is smaller than or equal to AYI to generate hidden danger signals;

the calculation method of the station temperature value specifically comprises the following steps:

wherein JWi is represented as a calculated temperature of the equipment, namely a calculated station temperature value, CW is represented as initial temperature data, WBi is represented as a temperature-dependent value, ZSi is represented as a difference between a time point when the equipment starts to operate and a time point when the equipment is calculated, namely a station time difference value, ZHi is represented as station loop data, HYi is represented as a loop-dependent value, u1 is represented as station loop data, initial temperature data, loop-dependent value, station time difference value and a numerical conversion factor between the temperature-dependent value and the calculated station temperature value, and e is represented as a calculated deviation adjustment factor of the calculated station temperature value;

an Yin is specifically calculated as:

AYi is expressed as a safety value, ZWi is expressed as station temperature data, ZXi is expressed as a station position 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 position 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 position value and the station line value into the safety value, g is expressed as an offset correction factor for the station temperature data, the station position value and the station line value in the conversion process, and v1 > v2 > v3 > 0;

according to the stored data, corresponding station position data, station vibration data, station time data and vibration image speed average value are set and moved, and the method specifically comprises the following steps:

station time data in which data just start to move and station position data corresponding to the current station time data are selected, two different station position data are subjected to position marking in a virtual coordinate system, distance calculation is performed according to Pythagorean theorem, and station position values are calculated;

the station vibration data, the station time data and the vibration shadow speed mean value are brought into a vibration movement 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 is judged to be normal, a station movement positive signal is generated, when the movement value is smaller than or equal to the station position value, the movement vibration is judged to be abnormal, and a station movement abnormal signal is generated;

the corresponding station connection data and station connection data are processed by the station line according to the stored data, and the method specifically comprises the following steps:

position marking is carried out on two different station connection data in a virtual coordinate system, distance calculation is carried out according to Pythagorean theorem, and station line values are calculated;

the movement value and the setting line shadow value are put into the calculation formula: setting a line shadow value, wherein the line shadow value is represented as a movement calculation value of a connecting line, comparing the line shadow value with a station line value, judging that the station line moves normally when the line shadow value is larger than the station line value, generating a line positive signal, and judging that the station line moves abnormally when the line shadow value is smaller than or equal to the station line value, generating a line abnormal signal;

the station-departure response unit receives the hidden danger signals and the dangerous signals and converts the hidden danger signals and the dangerous signals into signals, specifically:

the dangerous signals are converted into alarm signals, the alarm sounds are sent out and transmitted to the prompting unit, the hidden danger signals are converted into prompting signals, and the prompting signals are sent to the prompting unit;

the prompting unit receives the prompting signal and the alarm signal, displays the signals and reminds a manager of processing.