CN118134269A - Land power generation safety intelligent supervision system based on data analysis - Google Patents
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Abstract
The invention belongs to the technical field of land power generation supervision, in particular to a land power generation safety intelligent supervision system based on data analysis, which comprises a server, a power generation facility monitoring module, a power transmission line detection module, a peripheral monitoring evaluation module and a background monitoring end; according to the invention, the power generation facility for land power generation is monitored and analyzed through the power generation facility monitoring module, the power transmission line detection module monitors and judges the operation risk of the power transmission line connected with the power generation facility, and the peripheral risk of the power generation facility is accurately fed back through the detection, evaluation and analysis of peripheral potential safety hazards, so that the background supervision end sends out corresponding early warning when the early warning signal, the transmission line abnormal detection signal or the peripheral high risk signal of the power generation facility are generated, the comprehensive monitoring and timely feedback early warning of land power generation safety are realized, the accuracy of the land power generation safety evaluation result is improved, the land power generation risk is obviously reduced, the management difficulty and the management cost of management personnel are reduced, and the intelligent degree is high.
Description
Technical Field
The invention relates to the technical field of land power generation supervision, in particular to a land power generation safety intelligent supervision system based on data analysis.
Background
Along with the increasing demand of energy, the number and the scale of land power generation facilities are also expanding, the land power generation facilities mainly refer to various power stations and power generation equipment which are built on land and are used for converting energy of different forms into electric energy, and in the running process of the power generation facilities, safety accidents are easy to be caused due to various reasons such as equipment aging, misoperation, environmental factors and the like, so that the life and property safety of people is seriously threatened;
At present, when land power generation safety is monitored, the operation risk of land power generation facilities, the potential safety hazard condition of the power transmission line and the peripheral risk of the power generation facilities cannot be reasonably fed back, comprehensive monitoring and evaluation of the land power generation safety and timely early warning are difficult to realize, corresponding improvement and adjustment measures are not easy to be made timely by management staff, the monitoring difficulty is high, the management cost is high, and the intelligent level is low;
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a land power generation safety intelligent supervision system based on data analysis, which solves the problems that the prior art cannot reasonably feed back the operation risk of land power generation facilities, the potential safety hazard condition of the power transmission line and the peripheral risk of the power generation facilities, and is difficult to realize comprehensive monitoring and evaluation of the land power generation safety and early warning in time, and has large supervision difficulty, high management cost and low intelligent level.
In order to achieve the above purpose, the present invention provides the following technical solutions:
A land power generation safety intelligent supervision system based on data analysis comprises a server, a power generation facility monitoring module, a power transmission line detection module, a peripheral monitoring evaluation module and a background supervision end; the power generation facility monitoring module monitors power generation facilities for land power generation, generates a power generation facility early warning signal or a power generation facility safety signal through analysis, and sends the power generation facility early warning signal or the power generation facility safety signal to a background monitoring end through a server;
The power transmission line detection module acquires a power transmission line connected with a power generation facility, monitors the power transmission line, judges the operation risk of the power transmission line, generates a power transmission line abnormal signal or a power transmission line excellent signal through analysis, and sends the power transmission line abnormal signal or the power transmission line excellent signal to a background monitoring end through a server;
The peripheral monitoring and evaluating module marks a circle with the radius of T1 by taking the power generation facility as the circle center, marks the marked circular area as a peripheral area, generates a peripheral high-risk signal or a peripheral low-risk signal through detection, evaluation and analysis of peripheral potential safety hazards, and sends the peripheral high-risk signal or the peripheral low-risk signal to a background monitoring pipe end through a server; and the background supervision receives the early warning signal of the power generation facility, the abnormal signal of the power transmission line or the peripheral high risk signal, and sends out corresponding early warning.
Further, the specific operation process of the power generation facility monitoring module comprises:
acquiring operation parameters required to be monitored of the power generation facility, acquiring real-time detection data of the corresponding operation parameters, comparing the real-time detection data with corresponding preset data requirements, and marking the corresponding operation parameters as power generation abnormal table parameters if the real-time detection data do not meet the corresponding preset data requirements; if the power generation abnormal parameters exist in the power generation facility, generating a power generation facility early warning signal;
If the power generation abnormal meter parameters do not exist in the power generation facility, obtaining a power generation facility meter rest value through power generation facility meter rest analysis, comparing the power generation facility meter rest value with a preset power generation facility meter rest threshold value in a numerical mode, and if the power generation facility meter rest value exceeds the preset power generation facility meter rest threshold value, generating a power generation facility early warning signal; and if the power generation facility rest table value does not exceed the preset power generation facility rest table threshold value, generating a power generation facility safety signal.
Further, the specific analysis process of the power generation facility rest inspection analysis is as follows:
Acquiring the end time of the adjacent last non-working state of the power generation facility, and calculating the time difference between the current time and the end time of the adjacent last non-working state to obtain the power generation time; setting a plurality of detection time periods in the power generation time period, acquiring the power generation amount of power generation facilities in the corresponding detection time periods, performing numerical comparison on the power generation amount and a preset power generation amount threshold value, and marking the corresponding detection time periods as high-load operation time periods if the power generation amount exceeds the preset power generation amount threshold value; if the generated energy does not exceed the preset generated energy threshold value, marking the corresponding detection period as a load-fit operation period;
obtaining the generated energy of all detection periods in the generating time period, carrying out summation calculation to obtain a generating detection value, obtaining the number of high-load operation periods in the generating time period, marking the number of the high-load operation periods as a high-load detection value, marking the number of the high-load operation periods between two adjacent groups of proper-load operation periods as a high-load continuous value, and marking the number of the high-load continuous values exceeding a preset high-load continuous threshold value in the generating time period as a high-load continuous condition value; and carrying out numerical calculation on the power generation time length, the power generation detection value, the high load number detection value and the high load holding condition value to obtain a power generation facility rest table value.
Further, the specific operation process of the power transmission line detection module includes:
Collecting electric quantity data which enter a power transmission line from a power generation facility in unit time and marking the electric quantity data as power generation data, collecting electric quantity data which are output from the power transmission line in unit time and marking the electric quantity data as power output data, calculating the ratio of the power output data to the power generation data to obtain a power transmission duty value, comparing the power transmission duty value with a preset power transmission duty threshold value in a numerical mode, and generating a power transmission line abnormal detection signal if the power transmission duty value does not exceed the preset power transmission duty threshold value.
Further, if the transmission power occupation value exceeds a preset transmission power occupation threshold value, setting a plurality of detection points on a power transmission line, acquiring voltage data and current data of the corresponding detection points, performing difference calculation on the voltage data and a corresponding preset voltage data standard value, taking an absolute value to obtain a voltage detection value, acquiring a current detection value in a similar way, acquiring temperature real-time data and temperature acceleration data of the corresponding detection points, performing numerical calculation on the voltage detection value, the current detection value, the temperature real-time data and the temperature acceleration data to obtain a transmission point detection value, performing numerical comparison on the transmission point detection value and a preset transmission point detection threshold value, and if the transmission point detection value exceeds the preset transmission point detection threshold value, marking the corresponding detection points as transmission abnormal points;
Obtaining the number ratio of the transmission abnormal points in the transmission line, marking the transmission abnormal points as transmission abnormal point values, marking the exceeding value of the transmission point detection value of the transmission abnormal points compared with the corresponding preset transmission point detection threshold value as transmission abnormal exceeding value, carrying out mean value calculation on the transmission abnormal exceeding values of all the transmission abnormal points to obtain transmission abnormal analysis values, carrying out numerical calculation on the transmission abnormal point values and the transmission abnormal analysis values to obtain transmission line detection condition values through the transmission electric point values, carrying out numerical comparison on the transmission line detection condition values and the preset transmission line detection condition threshold value, and generating transmission line detection abnormal signals if the transmission line detection condition values exceed the preset transmission risk detection condition threshold value; and if the power transmission line condition detection value does not exceed the preset power transmission risk condition detection threshold value, generating a power transmission line optimal detection signal.
Further, the specific analysis process of the peripheral potential safety hazard detection, evaluation and analysis is as follows:
acquiring smoke concentration data at a plurality of positions in a peripheral area, marking the smoke concentration data with the largest value as a smoke detection value, acquiring temperature data at a plurality of positions in the peripheral area, performing average value calculation on the temperature data to obtain a temperature detection value, monitoring the peripheral area through a monitoring camera, and obtaining a peripheral monitoring value based on a monitoring video image and through personnel risk identification detection analysis;
Performing numerical calculation on the smoke detection value, the temperature detection value and the peripheral monitoring value to obtain a peripheral hidden danger evaluation value, performing numerical comparison on the peripheral hidden danger evaluation value and a preset peripheral hidden danger evaluation threshold value, and generating a peripheral high risk signal if the peripheral hidden danger evaluation value exceeds the preset peripheral hidden danger evaluation threshold value; and if the peripheral hidden danger evaluation value does not exceed the preset peripheral hidden danger evaluation threshold value, generating a peripheral low risk signal.
Further, the specific analysis process of the personnel risk identification detection analysis is as follows:
Registering the personnel allowed to enter the peripheral area in advance, and marking the personnel which are not registered as unauthorized personnel; judging whether unauthorized persons exist in the peripheral area or not based on the monitoring video image, and judging that the peripheral area is in a dangerous state if the unauthorized persons exist in the peripheral area;
Acquiring single duration and average distribution people number of the corresponding risk state, marking the single duration and average distribution people number as a risk single holding value and a risk number detection value, respectively comparing the single duration and the risk number detection value with a preset risk single holding threshold and a preset risk number detection threshold, and marking the corresponding risk state as a high risk state if the single duration and the risk number detection value exceed the corresponding preset threshold;
The method comprises the steps of obtaining total duration of time that an inner and outer area is in a risk state in unit time and marking the total duration as a risk total value, obtaining total times of time that the inner and outer area is in a high risk state in unit time and marking the times as a high risk detection frequency value, and obtaining a peripheral monitoring value through numerical calculation of the risk total value and the high risk detection frequency value.
Further, the server is in communication connection with the power generation safety management and control performance module, the power generation safety management and control performance module is used for setting a management and control period, generating a power generation safety management and control qualified signal or a power generation safety management and control disqualification signal through power generation safety management and control analysis, transmitting the power generation safety management and control qualified signal or the power generation safety management and control disqualification signal to a background monitoring pipe end through the server, and sending corresponding early warning when the background monitoring pipe end receives the power generation safety management and control disqualification signal.
Further, the specific analysis process of the power generation safety control analysis is as follows:
Collecting the total duration that no manager exists in the area of the background supervision end in the management and control period, marking the total duration as an unmanned condition value, and marking the occurrence times that the duration of the single unmanned state exceeds a preset duration threshold of the single unmanned state as an unmanned state high duration value; the generation times of early warning signals of the power generation facilities, the generation times of abnormal signals of the power transmission lines and the generation times of peripheral high-risk signals in the management and control period are collected and marked as a warning value of the power generation facilities, a warning value of the power transmission lines and a peripheral warning value respectively;
the method comprises the steps of carrying out numerical calculation on an unmanned condition value, an unmanned state high-maintenance value, a power generation facility alarm value, a power transmission line alarm value and a peripheral alarm value to obtain a power generation safety control value, carrying out numerical comparison on the power generation safety control value and a preset power generation safety control threshold value, and generating a power generation safety control disqualification signal if the power generation safety control value exceeds the preset power generation safety control threshold value; and if the power generation safety control value does not exceed the preset power generation safety control threshold value, generating a power generation safety control qualified signal.
Compared with the prior art, the invention has the beneficial effects that:
1. In the invention, the power generation facility for land power generation is monitored and analyzed through the power generation facility monitoring module, the power transmission line connected with the power generation facility is monitored and the operation risk thereof is judged through the power transmission line detection module, and the peripheral risk of the power generation facility is accurately judged through the detection, evaluation and analysis of the peripheral potential safety hazard, so that the comprehensive monitoring of the land power generation safety is realized, the early warning is timely fed back, the accuracy of the land power generation safety evaluation result is improved, the land power generation risk is obviously reduced, the management difficulty and the management cost of management personnel are reduced, and the intelligent degree is high;
2. According to the invention, the power generation safety management and control expression module is used for setting the management and control period, the power generation safety management and control qualified signal or the power generation safety management and control disqualified signal is generated through the power generation safety management and control analysis, the power generation safety management and control qualified signal or the power generation safety management and control disqualified signal is sent to the background monitoring pipe end, and the background monitoring pipe end sends out corresponding early warning when receiving the power generation safety management and control disqualified signal, so that the land power generation safety monitoring is enhanced in time in the follow-up, and the follow-up power generation safety risk is further reduced.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a system block diagram of a second embodiment 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.
Embodiment one: as shown in fig. 1, the land power generation safety intelligent supervision system based on data analysis provided by the invention comprises a server, a power generation facility monitoring module, a power transmission line detection module, a peripheral monitoring evaluation module and a background monitoring end;
The power generation facility monitoring module monitors power generation facilities (mainly referred to as thermal power generation equipment) for land power generation, generates a power generation facility early warning signal or a power generation facility safety signal through analysis, and transmits the power generation facility early warning signal or the power generation facility safety signal to a background supervision terminal through a server, so that the operation risk condition of the power generation facilities can be reasonably analyzed and accurately fed back, and corresponding adjustment measures can be made for the power generation facilities in time; the specific operation process of the power generation facility monitoring module is as follows:
acquiring operation parameters (such as current, voltage, power, temperature and the like of the power generation facility) required to be monitored by the power generation facility, acquiring real-time detection data of the corresponding operation parameters, comparing the real-time detection data with corresponding preset data requirements, and marking the corresponding operation parameters as power generation abnormal table parameters if the real-time detection data do not meet the corresponding preset data requirements and indicate that the corresponding operation parameters deviate; if the power generation abnormal parameters exist in the power generation facilities, which indicate that the corresponding power generation facilities have running risks, generating a power generation facility early warning signal;
If the power generation abnormal table parameters do not exist in the power generation facility, the power generation facility rest table value is obtained through power generation facility rest detection analysis, specifically: acquiring the end time of the adjacent non-working state of the power generation facility, and calculating the time difference between the current time and the end time of the adjacent non-working state (namely in a rest state) to obtain the power generation time; setting a plurality of detection time periods in the power generation time period, acquiring the power generation amount of power generation facilities in the corresponding detection time periods, performing numerical comparison on the power generation amount and a preset power generation amount threshold value, and marking the corresponding detection time periods as high-load operation time periods if the power generation amount exceeds the preset power generation amount threshold value; if the generated energy does not exceed the preset generated energy threshold value, marking the corresponding detection period as a load-fit operation period;
Obtaining the generated energy of all detection periods in the generating time period, carrying out summation calculation to obtain a generating detection value, obtaining the number of high-load operation periods in the generating time period, marking the number of the high-load operation periods as a high-load detection value, marking the number of the high-load operation periods between two adjacent groups of proper-load operation periods as a high-load continuous value, and marking the number of the high-load continuous values exceeding a preset high-load continuous threshold value in the generating time period as a high-load continuous condition value;
By the formula Carrying out numerical calculation on the power generation time length FS, the power generation detection value FY, the high load number detection value FK and the high load condition maintenance value FP to obtain a power generation facility rest table value FX; wherein a1, a2, a3 and a4 are preset proportionality coefficients, a4 > a3 > a1 > a2 > 0; and, the larger the value of the power generation facility damping down table value FX, the larger the operation risk of the power generation facility is, and the more the operation of the power generation facility needs to be suspended in time so as to be damped;
Comparing the power generation facility rest table value FX with a preset power generation facility rest table threshold value, and generating a power generation facility early warning signal if the power generation facility rest table value FX exceeds the preset power generation facility rest table threshold value, which indicates that the running risk of the power generation facility is large and the running of the power generation facility needs to be suspended in time; and if the power generation facility rest table value FX does not exceed the preset power generation facility rest table threshold value, indicating that the running risk of the power generation facility is small, generating a power generation facility safety signal.
The power transmission line detection module acquires a power transmission line connected with a power generation facility (the power transmission line is used for transmitting electric energy generated by the power generation facility), monitors the power transmission line and judges the operation risk of the power transmission line, generates a power transmission line abnormal detection signal or a power transmission line optimal detection signal through analysis, and sends the power transmission line abnormal detection signal or the power transmission line optimal detection signal to a background monitoring pipe end through a server so as to timely check and maintain the power transmission line and ensure the power transmission safety; the specific operation process of the power transmission line detection module is as follows:
Collecting electric quantity data which enter a power transmission line from a power generation facility in unit time and marking the electric quantity data as power generation data, collecting electric quantity data which are output from the power transmission line in unit time and marking the electric quantity data as power output data, and calculating the ratio of the power output data to the power generation data to obtain a power transmission duty value, wherein the larger the value of the power transmission duty value is, the smaller the power transmission loss of the power transmission line is indicated; and comparing the transmission power occupation value with a preset transmission power occupation threshold value in a numerical mode, and generating a transmission line abnormal detection signal if the transmission power occupation value does not exceed the preset transmission power occupation threshold value, which indicates that the transmission loss of the transmission line is large.
Further, if the transmission power occupation value exceeds a preset transmission power occupation threshold value, which indicates that the transmission loss of the transmission power line is small, setting a plurality of detection points on the transmission power line, collecting voltage data and current data of the corresponding detection points, calculating a difference value between the voltage data and a corresponding preset voltage data standard value, taking an absolute value to obtain a voltage detection value, and acquiring the current detection value, and collecting temperature real-time data and temperature acceleration data of the corresponding detection points;
By the formula Carrying out numerical calculation on the voltage detection value SW, the current detection value SN, the temperature real-time data SP and the temperature acceleration data SL to obtain a conveying point detection value SY, wherein kp1, kp2, kp3 and kp4 are preset proportional coefficients, and the values of kp1, kp2, kp3 and kp4 are positive numbers; and, the larger the value of the conveying point detection value SY is, the larger the operation risk of the corresponding detection point is; comparing the transmission point detection value SY with a preset transmission point detection threshold value in a numerical mode, and marking the corresponding detection point as a transmission abnormal table point if the transmission point detection value SY exceeds the preset transmission point detection threshold value and the running risk of the corresponding detection point is high;
Obtaining the number ratio of transmission abnormal points in a transmission line, marking the transmission abnormal points as transmission abnormal points, marking the transmission point detection values of the transmission abnormal points as transmission abnormal over-amplitude values compared with the over-amplitude values of corresponding preset transmission point detection thresholds, carrying out mean value calculation on the transmission abnormal over-amplitude values of all the transmission abnormal points to obtain transmission abnormal analysis values, carrying out transmission electric points RW through a formula RX= (ey 2X RF+ey 3X RY)/(ey 1X RW+0.627), and carrying out numerical calculation on the transmission abnormal points RF and the transmission abnormal analysis values RY to obtain transmission line detection condition values, wherein ey1, ey2 and ey3 are preset proportion coefficients, and the values of ey1, ey2 and ey3 are positive numbers;
And, the larger the value of the transmission line condition detection value RX is, the greater the operation risk of the transmission line is indicated in the integration; comparing the transmission line detection condition value RX with a preset transmission line detection condition threshold value, and if the transmission line detection condition value RX exceeds the preset transmission risk detection condition threshold value, indicating that the operation risk of the transmission line is large in combination, and the probability of the transmission line abnormality is large, generating a transmission line abnormal detection signal; if the transmission line detection condition value RX does not exceed the preset transmission risk detection condition threshold value, the operation risk of the transmission line is smaller in the comprehensive aspect, and the probability of the occurrence of abnormality of the transmission line is smaller, a transmission line optimal detection signal is generated.
The peripheral monitoring evaluation module draws a circle with a radius of T1 by taking the power generation facility as a circle center, and preferably, T1 is six meters; the marked circular area is marked as a peripheral area, a peripheral high-risk signal or a peripheral low-risk signal is generated through detection, evaluation and analysis of peripheral potential safety hazards, and the peripheral high-risk signal or the peripheral low-risk signal is sent to a background supervision end through a server, so that the peripheral risk of a power generation facility can be accurately fed back, the reason investigation can be timely conducted, reasonable improvement measures can be timely made, the management and control of the peripheral area can be timely enhanced, and the land power generation safety can be further guaranteed; the specific analysis process of the peripheral potential safety hazard detection, evaluation and analysis is as follows:
acquiring smoke concentration data at a plurality of positions in a peripheral area, marking the smoke concentration data with the largest value as a smoke detection value, and acquiring temperature data at a plurality of positions in the peripheral area and carrying out average calculation on the temperature data to obtain a temperature detection value;
Monitoring the peripheral area through a monitoring camera, and obtaining a peripheral monitoring value based on a monitoring video image and through personnel risk identification detection analysis; the specific process is as follows: registering the personnel allowed to enter the peripheral area in advance, and marking the personnel which are not registered as unauthorized personnel; judging whether unauthorized persons exist in the peripheral area or not based on the monitoring video image, and judging that the peripheral area is in a dangerous state if the unauthorized persons exist in the peripheral area;
Acquiring single duration and average distribution people number of the corresponding risk state, marking the single duration and average distribution people number as a risk single holding value and a risk number detection value, respectively comparing the single duration and the risk number detection value with a preset risk single holding threshold and a preset risk number detection threshold, and marking the corresponding risk state as a high risk state if the single duration and the risk number detection value exceed the corresponding preset threshold;
Acquiring total duration of the inner and outer regions in a risk state in unit time, marking the total duration as a risk total value, acquiring total times of the inner and outer regions in a high risk state in unit time, marking the total times as a high risk detection frequency value, and carrying out numerical calculation on the risk total value MS and the high risk detection frequency value MF through a formula MY=b1, MS/b2+b2 to obtain a peripheral monitoring value MY; wherein b1 and b2 are preset proportionality coefficients, and b2 is more than b1 and more than 0; and, the larger the value of the peripheral monitor value MY, the larger the personnel risk in the peripheral area is indicated;
By the formula Carrying out numerical calculation on the smoke detection value YP, the temperature detection value YK and the peripheral monitoring value MY to obtain a peripheral hidden danger evaluation value YW, wherein eq1, eq2 and eq3 are preset proportion coefficients, and the values of eq1, eq2 and eq3 are positive numbers; and, the larger the value of the peripheral hidden trouble evaluation value YW is, the larger the potential safety hazard synthesis of the peripheral area is;
Comparing the peripheral hidden danger evaluation value YW with a preset peripheral hidden danger evaluation threshold value, and generating a peripheral high risk signal if the peripheral hidden danger evaluation value YW exceeds the preset peripheral hidden danger evaluation threshold value, which indicates that the potential safety hazards of the peripheral area are large in combination; if the peripheral hidden danger evaluation value YW does not exceed the preset peripheral hidden danger evaluation threshold value, indicating that the potential safety hazards of the peripheral area are smaller in combination, generating a peripheral low-risk signal.
Furthermore, the background supervision receives early warning signals of power generation facilities, abnormal signals of power transmission lines or peripheral high-risk signals, and sends out corresponding early warning, so that comprehensive monitoring of land power generation safety is realized, early warning is fed back in time, accuracy of land power generation safety evaluation results is improved, land power generation risk is obviously reduced, management difficulty and management cost of management staff are reduced, and intelligent degree is high.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the server is communicatively connected to a power generation safety management and control expression module, and the power generation safety management and control expression module is configured to set a management and control period, preferably, the management and control period is thirty days; generating a power generation safety control qualified signal or a power generation safety control unqualified signal through power generation safety control analysis, sending the power generation safety control qualified signal or the power generation safety control unqualified signal to a background monitoring end through a server, and sending out corresponding early warning when the background monitoring end receives the power generation safety control unqualified signal so as to strengthen land power generation safety monitoring in time in the follow-up process, further reducing the follow-up power generation safety risk and having high intelligent degree; the specific analysis process of the power generation safety control analysis is as follows:
collecting the total duration of the absence of the manager in the area of the background supervision end in the management and control period, marking the total duration as an unmanned condition value, starting timing when the absence of the manager in the area of the background supervision end, acquiring the duration of the single unmanned state, and marking the occurrence times of the duration of the single unmanned state exceeding a preset duration threshold of the single unmanned state as an unmanned state high-duration value; the generation times of early warning signals of the power generation facilities, the generation times of abnormal signals of the power transmission lines and the generation times of peripheral high-risk signals in the management and control period are collected and marked as a warning value of the power generation facilities, a warning value of the power transmission lines and a peripheral warning value respectively;
carrying out numerical calculation on the unmanned condition value WS, the unmanned state high maintenance value WY, the power generation facility alarm value WK, the power transmission line alarm value WP and the peripheral alarm value WF through a formula WX=fy1 xWS+fy2 xWY+ (fy3 xWK+fy4 xWP+fy5) and 3 to obtain a power generation safety control value WX, wherein fy1, fy2, fy3, fy4 and fy5 are preset proportion coefficients, and the values of fy1, fy2, fy3, fy4 and fy5 are all larger than zero; moreover, the larger the value of the power generation safety control value WX is, the worse the power generation safety control performance is indicated;
Comparing the power generation safety control value WX with a preset power generation safety control threshold value, and if the power generation safety control value WX exceeds the preset power generation safety control threshold value, indicating that the power generation safety control performance is poor, and generating a power generation safety control disqualification signal if the follow-up land power generation supervision needs to be enhanced; and if the power generation safety control value WX does not exceed the preset power generation safety control threshold, the power generation safety control value WX indicates that the power generation safety control performance is good, and a power generation safety control qualified signal is generated.
The working principle of the invention is as follows: when the system is used, the power generation facility for land power generation is monitored through the power generation facility monitoring module, the operation risk condition of the power generation facility is reasonably fed back, the power transmission line detection module monitors and judges the operation risk of a power transmission line connected with the power generation facility, the peripheral monitoring evaluation module marks a peripheral area by taking the power generation facility as a circle center, the peripheral risk of the power generation facility is accurately fed back through the detection, evaluation and analysis of peripheral potential safety hazards, the background supervision end is enabled to send out corresponding early warning when a power generation facility early warning signal, a power transmission line abnormal signal or a peripheral high risk signal is generated, comprehensive monitoring and timely feedback early warning of land power generation safety are achieved, the accuracy of a land power generation safety evaluation result is improved, the land power generation risk is remarkably reduced, management difficulty and management cost of management personnel are reduced, and the intelligent degree is high.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The land power generation safety intelligent supervision system based on data analysis is characterized by comprising a server, a power generation facility monitoring module, a power transmission line detection module, a peripheral monitoring evaluation module and a background monitoring end; the power generation facility monitoring module monitors power generation facilities for land power generation, generates a power generation facility early warning signal or a power generation facility safety signal through analysis, and sends the power generation facility early warning signal or the power generation facility safety signal to a background monitoring end through a server;
The power transmission line detection module acquires a power transmission line connected with a power generation facility, monitors the power transmission line, judges the operation risk of the power transmission line, generates a power transmission line abnormal signal or a power transmission line excellent signal through analysis, and sends the power transmission line abnormal signal or the power transmission line excellent signal to a background monitoring end through a server;
The peripheral monitoring and evaluating module marks a circle with the radius of T1 by taking the power generation facility as the circle center, marks the marked circular area as a peripheral area, generates a peripheral high-risk signal or a peripheral low-risk signal through detection, evaluation and analysis of peripheral potential safety hazards, and sends the peripheral high-risk signal or the peripheral low-risk signal to a background monitoring pipe end through a server; and the background supervision receives the early warning signal of the power generation facility, the abnormal signal of the power transmission line or the peripheral high risk signal, and sends out corresponding early warning.
2. The land power generation safety intelligent supervision system based on data analysis according to claim 1, wherein the specific operation process of the power generation facility monitoring module comprises:
acquiring operation parameters required to be monitored of the power generation facility, acquiring real-time detection data of the corresponding operation parameters, comparing the real-time detection data with corresponding preset data requirements, and marking the corresponding operation parameters as power generation abnormal table parameters if the real-time detection data do not meet the corresponding preset data requirements; if the power generation abnormal parameters exist in the power generation facility, generating a power generation facility early warning signal;
If the power generation abnormal meter parameters do not exist in the power generation facility, obtaining a power generation facility meter rest value through power generation facility meter rest analysis, comparing the power generation facility meter rest value with a preset power generation facility meter rest threshold value in a numerical mode, and if the power generation facility meter rest value exceeds the preset power generation facility meter rest threshold value, generating a power generation facility early warning signal; and if the power generation facility rest table value does not exceed the preset power generation facility rest table threshold value, generating a power generation facility safety signal.
3. The land power generation safety intelligent supervision system based on data analysis according to claim 2, wherein the specific analysis process of the power generation facility rest detection analysis is as follows:
Acquiring the end time of the adjacent last non-working state of the power generation facility, and calculating the time difference between the current time and the end time of the adjacent last non-working state to obtain the power generation time; setting a plurality of detection time periods in the power generation time period, acquiring the power generation amount of power generation facilities in the corresponding detection time periods, performing numerical comparison on the power generation amount and a preset power generation amount threshold value, and marking the corresponding detection time periods as high-load operation time periods if the power generation amount exceeds the preset power generation amount threshold value; if the generated energy does not exceed the preset generated energy threshold value, marking the corresponding detection period as a load-fit operation period;
obtaining the generated energy of all detection periods in the generating time period, carrying out summation calculation to obtain a generating detection value, obtaining the number of high-load operation periods in the generating time period, marking the number of the high-load operation periods as a high-load detection value, marking the number of the high-load operation periods between two adjacent groups of proper-load operation periods as a high-load continuous value, and marking the number of the high-load continuous values exceeding a preset high-load continuous threshold value in the generating time period as a high-load continuous condition value; and carrying out numerical calculation on the power generation time length, the power generation detection value, the high load number detection value and the high load holding condition value to obtain a power generation facility rest table value.
4. The land power generation safety intelligent supervision system based on data analysis according to claim 1, wherein the specific operation process of the power line detection module comprises:
Collecting electric quantity data which enters the power transmission line from the power generation facility in unit time and marking the electric quantity data as power generation data, collecting electric quantity data which is output from the power transmission line in unit time and marking the electric quantity data as power output data, calculating the ratio of the power output data to the power generation data to obtain a power transmission duty value, and generating a power transmission line detection signal if the power transmission duty value does not exceed a preset power transmission duty threshold value.
5. The intelligent monitoring system for land power generation safety based on data analysis according to claim 4, wherein if the power transmission duty value exceeds a preset power transmission duty threshold value, a plurality of detection points are set on the power transmission line, voltage data and current data of the corresponding detection points are collected, difference value calculation is carried out on the voltage data and the corresponding preset voltage data standard value to obtain voltage detection values, the current detection values are obtained in a similar way, temperature real-time data and temperature acceleration data of the corresponding detection points are collected, the power transmission point detection values are obtained by carrying out numerical calculation on the voltage detection values, the current detection values, the temperature real-time data and the temperature acceleration data, and if the power transmission point detection values exceed the preset power transmission point detection threshold value, the corresponding detection points are marked as power transmission abnormal points;
Acquiring the number ratio of the transmission abnormal points in the transmission line, marking the transmission abnormal points as transmission abnormal point values, marking the exceeding value of the transmission point detection values of the transmission abnormal points compared with the corresponding preset transmission point detection threshold value as transmission abnormal exceeding values, carrying out mean value calculation on the transmission abnormal exceeding values of all the transmission abnormal points to obtain transmission abnormal analysis values, carrying out numerical calculation on the transmission abnormal point values and the transmission abnormal analysis values to obtain transmission line detection condition values, and generating transmission line detection abnormal signals if the transmission line detection condition values exceed the preset transmission risk detection condition threshold value; and if the power transmission line condition detection value does not exceed the preset power transmission risk condition detection threshold value, generating a power transmission line optimal detection signal.
6. The intelligent monitoring system for land power generation safety based on data analysis according to claim 1, wherein the specific analysis process of the peripheral potential safety hazard detection, evaluation and analysis is as follows:
acquiring smoke concentration data at a plurality of positions in a peripheral area, marking the smoke concentration data with the largest value as a smoke detection value, acquiring temperature data at a plurality of positions in the peripheral area, performing average value calculation on the temperature data to obtain a temperature detection value, monitoring the peripheral area through a monitoring camera, and obtaining a peripheral monitoring value based on a monitoring video image and through personnel risk identification detection analysis;
performing numerical calculation on the smoke detection value, the temperature detection value and the peripheral monitoring value to obtain a peripheral hidden danger evaluation value, and generating a peripheral high risk signal if the peripheral hidden danger evaluation value exceeds a preset peripheral hidden danger evaluation threshold value; and if the peripheral hidden danger evaluation value does not exceed the preset peripheral hidden danger evaluation threshold value, generating a peripheral low risk signal.
7. The intelligent monitoring system for land power generation safety based on data analysis of claim 6, wherein the specific analysis process of personnel risk identification detection analysis is as follows:
Registering the personnel allowed to enter the peripheral area in advance, and marking the personnel which are not registered as unauthorized personnel; judging whether unauthorized persons exist in the peripheral area or not based on the monitoring video image, and judging that the peripheral area is in a dangerous state if the unauthorized persons exist in the peripheral area;
collecting single duration time and average distribution number of people in the corresponding risk state, and marking the single duration time and the average distribution number of people as a risk single holding value and a risk number detection value respectively, wherein if the single duration time and the risk number detection value exceed corresponding preset thresholds, the corresponding risk state is marked as a high risk state;
The method comprises the steps of obtaining total duration of time that an inner and outer area is in a risk state in unit time and marking the total duration as a risk total value, obtaining total times of time that the inner and outer area is in a high risk state in unit time and marking the times as a high risk detection frequency value, and obtaining a peripheral monitoring value through numerical calculation of the risk total value and the high risk detection frequency value.
8. The intelligent monitoring system for land power generation safety based on data analysis according to claim 1, wherein the server is in communication connection with a power generation safety management and control performance module, the power generation safety management and control performance module is used for setting a management and control period, generating a power generation safety management and control qualified signal or a power generation safety management and control disqualification signal through power generation safety management and control analysis, and sending the power generation safety management and control qualified signal or the power generation safety management and control disqualification signal to a background monitoring end through the server, and the background monitoring end sends corresponding early warning when receiving the power generation safety management and control disqualification signal.
9. The intelligent monitoring system for land power generation safety based on data analysis of claim 8, wherein the specific analysis process of the power generation safety management analysis is as follows:
The method comprises the steps of carrying out numerical calculation on an unmanned condition value, an unmanned state high-maintenance value, a power generation facility alarm value, a power transmission line alarm value and a peripheral alarm value to obtain a power generation safety control value, and generating a power generation safety control disqualification signal if the power generation safety control value exceeds a preset power generation safety control threshold value; and if the power generation safety control value does not exceed the preset power generation safety control threshold value, generating a power generation safety control qualified signal.
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