CN114793018A - Electrical intelligent data processing device for offshore power grid - Google Patents
Electrical intelligent data processing device for offshore power grid Download PDFInfo
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- CN114793018A CN114793018A CN202210534992.0A CN202210534992A CN114793018A CN 114793018 A CN114793018 A CN 114793018A CN 202210534992 A CN202210534992 A CN 202210534992A CN 114793018 A CN114793018 A CN 114793018A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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Abstract
The invention belongs to the field of offshore power grids, relates to a power distribution monitoring technology, and is used for solving the problem that the conventional offshore power grid data processing device does not have a correlation analysis function, in particular to an offshore power grid electrical intelligent data processing device which comprises a processor, wherein the processor is in communication connection with a power distribution monitoring module, a linkage analysis module, an environment detection module and a storage module; the power distribution monitoring module is used for monitoring and analyzing the distribution circuit of the electrical equipment of the offshore power grid platform: the distribution line subjected to monitoring analysis is marked as a monitoring object, monitoring time is divided into a plurality of monitoring time intervals, a power distribution coefficient of the monitoring object in the monitoring time intervals is obtained, and whether the monitoring object operates normally in the monitoring time intervals is judged according to the numerical value of the power distribution coefficient; the invention can judge whether the operation of the monitored object is normal or not, thereby timely carrying out maintenance when the operation of the monitored object is abnormal and ensuring the operation safety of electrical equipment and a distribution line.
Description
Technical Field
The invention belongs to the field of offshore power grids, relates to a power distribution monitoring technology, and particularly relates to an electrical intelligent data processing device for an offshore power grid.
Background
In recent years, with the rapid development of economy and the increasing demand of petroleum resources in China, the development of ocean resources is enhanced in China, and an offshore platform power system is mainly used as auxiliary power and domestic power in the initial construction stage and can supply power for oil extraction, gas production, oil and gas treatment and the like after being put into production.
The electrical equipment of the offshore platform power system is centrally arranged, so that the distribution line is short and stable, and the management and maintenance of the offshore power system are simple; however, the distribution lines of the offshore platform power system are easy to maintain, and are dense in arrangement, and the distribution lines are closely associated, so that the distribution lines need to be subjected to association analysis in time under the condition of abnormal power distribution.
Disclosure of Invention
The invention aims to provide an offshore power grid electrical intelligent data processing device, which is used for solving the problem that the existing offshore power grid data processing device does not have the function of correlation analysis;
the technical problems to be solved by the invention are as follows: how to provide an offshore power grid data processing device which can perform correlation analysis on distribution lines with abnormal operation.
The purpose of the invention can be realized by the following technical scheme:
an electrical intelligent data processing device for an offshore power grid comprises a processor, wherein the processor is in communication connection with a power distribution monitoring module, a linkage analysis module, an environment detection module and a storage module;
the power distribution monitoring module is used for monitoring and analyzing the distribution circuit of the electrical equipment of the offshore power grid platform: marking the distribution line subjected to monitoring analysis as a monitoring object, decomposing the monitoring time into a plurality of monitoring time intervals, obtaining a power distribution coefficient of the monitoring object in the monitoring time intervals, and judging whether the monitoring object operates normally in the monitoring time intervals according to the numerical value of the power distribution coefficient;
marking the monitoring object with abnormal operation as a power-off object, and cutting off the power supply of the power-off object;
the linkage analysis module is used for performing linkage analysis on the monitoring object with abnormal operation, acquiring a linkage object of the power-off object, cutting off the power supply of the linkage object of the power-off object and judging whether the linkage state of the power-off object is controllable or not;
and the environment detection module is used for monitoring and analyzing the working environment of the monitoring object with abnormal operation.
As a preferred embodiment of the present invention, the process of acquiring the distribution coefficient includes: acquiring voltage data, differential pressure data and time-varying data of a monitored object in a monitoring period, and carrying out numerical calculation on the voltage data, the differential pressure data and the time-varying data in the monitoring period to obtain a power distribution coefficient of the monitoring period;
the voltage data of the monitoring object in the monitoring period is the maximum voltage value in the monitoring period; the differential pressure data of the monitored object in the monitoring period is the difference value between the maximum voltage value and the minimum voltage value in the monitoring period; the time-varying data of the monitored object in the monitoring period is the time difference between the maximum voltage value and the minimum voltage value in the monitoring period.
As a preferred embodiment of the present invention, the process of determining whether the monitored object operates normally in the monitoring period includes: acquiring a power distribution threshold value through a storage module, and comparing the power distribution coefficient of a monitoring period with the power distribution threshold value:
if the power distribution coefficient is smaller than the power distribution threshold value, judging that the monitored object normally operates in the monitoring time period, and sending a normal operation signal to the processor by the power distribution monitoring module;
if the power distribution coefficient is larger than or equal to the power distribution threshold value, judging that the monitored object operates abnormally in the monitoring time period, and sending an abnormal operation signal to the processor by the power distribution monitoring module; and after receiving the abnormal operation signal, the processor sends the abnormal operation signal to the linkage analysis module and the environment detection module.
As a preferred embodiment of the present invention, a specific process of performing linkage analysis on a power outage object includes: counting down when the linkage analysis module receives the operation abnormal signal, wherein the counting down time is L2 minutes, if the linkage analysis module receives the operation abnormal signal again in L2 minutes, marking a monitoring object corresponding to the received operation abnormal signal as a linkage object of a power-off object, resetting the counting down, counting down again for L2 minutes, and adding one to the resetting times; and if the linkage analysis module does not receive the operation abnormal signal again within the L2 minutes, completing linkage analysis and clearing the reset times.
As a preferred embodiment of the present invention, a specific process of determining whether or not the linkage state of the power outage object is controllable includes: the method comprises the steps that a reset threshold value is obtained through a storage module, when the reset times are smaller than the reset threshold value, the linkage state of a power-off object is judged to be controllable, and a linkage analysis module sends a controllable signal to a processor; when the reset times are larger than or equal to the reset threshold value, the linkage state of the power failure object is judged to be uncontrollable, the linkage analysis module sends uncontrollable signals to the processor, the processor cuts off the power supplies of all distribution lines of the offshore power grid platform after receiving the uncontrollable signals, and meanwhile the processor sends early warning signals to a mobile phone terminal of a manager.
As a preferred embodiment of the present invention, the process of monitoring and analyzing the working environment of the monitored object by the environment detection module includes: dividing a monitored object into a plurality of analysis lines, and acquiring temperature data, humidity data and acid-base data of the analysis lines; the environment coefficient of the analysis line is obtained by carrying out numerical calculation on the temperature data, the humidity data and the acid-base data of the analysis line; the method comprises the steps of summing environmental coefficients of all analysis lines, averaging to obtain an environmental expression value of a monitored object, establishing an environmental set of the environmental coefficients of all the analysis lines, calculating variance of the environmental set to obtain an environmental deviation value of the monitored object, obtaining an environmental expression threshold value and an environmental deviation threshold value through a storage module, comparing the environmental expression value and the environmental deviation value of the monitored object with the environmental expression threshold value and the environmental deviation threshold value respectively, and judging whether the reason of abnormal operation of the monitored object is related to the environment of the monitored object through a comparison result.
As a preferred embodiment of the present invention, the process of comparing the environmental performance value and the environmental deviation value of the monitoring target with the environmental performance threshold value and the environmental deviation threshold value specifically includes:
if the environmental performance value is smaller than the environmental performance threshold value and the environmental deviation value is smaller than the environmental deviation threshold value, judging that the reason of abnormal operation of the monitored object is irrelevant to the environment of the monitored object, and sending a maintenance signal to a mobile phone terminal of a manager by the environmental detection module through the processor;
otherwise, judging that the reason of the abnormal operation of the monitored object is related to the environment of the monitored object, and sending an environment adjusting signal to a mobile phone terminal of a manager by the environment detection module through the processor.
As a preferred embodiment of the present invention, the acquisition process of analyzing the temperature data of the line includes: acquiring an air temperature value and a temperature range on an analysis line, summing the maximum value and the minimum value of the temperature range to obtain an average value of the temperature, and marking the absolute value of the difference value of the air temperature value and the average value of the temperature as temperature data; the acquisition process for analyzing the humidity data of the line comprises the following steps: acquiring an air humidity value and a humidity range on an analysis line, summing the maximum value and the minimum value of the humidity range to obtain an average value of humidity, and marking the absolute value of the difference value of the air humidity value and the humidity average value as humidity data of the analysis line; the acquisition process of acid-base data of the analysis line comprises the following steps: and acquiring the ph value of the air on the analysis line, and marking the absolute value of the difference between the ph value and 7 as acid-base data.
As a preferred embodiment of the present invention, the working method of the electrical intelligent data processing device for offshore grid comprises the following steps:
the method comprises the following steps: the distribution line subjected to monitoring analysis is marked as a monitoring object, monitoring time is divided into a plurality of monitoring time intervals, a power distribution coefficient of the monitoring object in the monitoring time intervals is obtained, and whether the monitoring object runs abnormally in the monitoring time intervals is judged according to the numerical value of the power distribution coefficient;
step two: when the monitored object runs abnormally, carrying out environment monitoring on the monitored object, dividing the monitored object into a plurality of analysis lines, acquiring an environment coefficient of the analysis lines, acquiring an environment expression value and an environment deviation value through the environment coefficient, judging that the monitored object runs abnormally and is unrelated to the environment under the condition that the environment expression value and the environment deviation value meet requirements, otherwise, judging that the monitored object runs abnormally and is related to the environment, and sending an environment regulation signal to a mobile phone terminal of a manager through a processor;
step three: the monitoring object with abnormal operation is marked as a power failure object, the power supply of the power failure object is cut off, linkage analysis is carried out on the power failure object, the linkage object of the power failure object is obtained through linkage analysis, the power supply of the linkage object is cut off, and the power supplies of all monitoring objects of the offshore power grid platform are cut off when the linkage state is uncontrollable.
The invention has the following beneficial effects:
1. the distribution monitoring module is used for monitoring and analyzing the distribution lines of the electrical equipment, and whether the operation of the monitored object is normal or not is judged in a time-interval analysis mode, so that the monitored object is overhauled in time when the operation is abnormal, and the operation safety of the electrical equipment and the distribution lines is ensured;
2. the linkage analysis module can perform correlation analysis on the monitoring objects with abnormal operation, and after one monitoring object has the abnormal operation phenomenon, the conditions and the frequency of the abnormal operation phenomenon of other subsequent monitoring objects are analyzed to judge whether the other monitoring objects are influenced by the monitoring objects with the abnormal operation to cause the abnormal operation phenomenon to continuously spread, so that the power supplies of all the monitoring objects can be timely cut off when the correlation state is uncontrollable to prevent the integral paralysis phenomenon of the offshore power platform;
3. the environment detection module is used for carrying out environment analysis on the monitoring object with abnormal operation, and whether the reason of the abnormal operation is caused by the abnormal environment is judged according to the result of the environment analysis, so that the reason causing the abnormal operation is checked, the time for checking the abnormal reason in the follow-up maintenance process is saved, and the later-stage maintenance efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in figure 1, the electrical intelligent data processing device for the offshore power grid comprises a processor, wherein the processor is in communication connection with a power distribution monitoring module, a linkage analysis module, an environment detection module and a storage module, the power distribution monitoring module is in one-way connection with the processor, and the linkage analysis module, the environment detection module and the processor are in two-way connection.
The power distribution monitoring module is used for monitoring and analyzing the distribution circuit of the electrical equipment of the offshore power grid platform: marking a distribution line subjected to monitoring analysis as a monitoring object, decomposing monitoring time into a plurality of monitoring time periods, wherein the duration of each monitoring time period is L1 seconds, L1 is a quantity constant, acquiring voltage data DY, differential pressure data YC and time variation data BH of the monitoring object in the monitoring time periods, and the voltage data DY of the monitoring object in the monitoring time periods is the maximum voltage value in the monitoring time periods; the pressure difference data YC of the monitored object in the monitoring period is the difference value between the maximum voltage value and the minimum voltage value in the monitoring period; time-varying data BH of the monitoring object in the monitoring period is a time difference between a maximum voltage value and a minimum voltage value in the monitoring period; obtaining a power distribution coefficient PD of the monitoring period by a formula PD (alpha 1 × DY + alpha 2 × YC)/(alpha 3 × BH), wherein the power distribution coefficient is a numerical value reflecting the abnormal degree of the monitored object in the monitoring period, and the higher the numerical value of the power distribution coefficient is, the more abnormal the monitored object runs in the monitoring period is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; acquiring a power distribution threshold PDmax through a storage module, and comparing a power distribution coefficient PD of a monitoring period with the power distribution threshold PDmax: if the power distribution coefficient PD is smaller than the power distribution threshold value PDmax, the monitored object is judged to normally operate in the monitoring period, and the power distribution monitoring module sends a normal operation signal to the processor; if the power distribution coefficient PD is larger than or equal to the power distribution threshold PDmax, judging that the monitored object runs abnormally in the monitoring period, and sending an abnormal running signal to the processor by the power distribution monitoring module; the processor receives the abnormal operation signal and then sends the abnormal operation signal to the linkage analysis module and the environment detection module; monitoring analysis is carried out to electrical equipment's distribution lines through distribution monitoring module, whether normally judges monitoring object operation through the mode of timesharing analysis to in time overhaul when monitoring object operation is unusual, guarantee electrical equipment and distribution lines's operational safety nature.
The linkage analysis module marks the corresponding monitoring object as a power-off object after receiving the abnormal operation signal, cuts off the power supply of the power-off object, and then performs linkage analysis on the power-off object: when the linkage analysis module receives an abnormal operation signal, countdown is carried out, the countdown time is L2 minutes, L2 is a quantity constant, and the numerical values of L1 and L2 are set by a manager; if the linkage analysis module receives the abnormal operation signal again within the period of L2 minutes, marking the monitoring object corresponding to the abnormal operation signal as the linkage object of the power failure object, cutting off the power supply of the linkage object of the power failure object, resetting the countdown timer, counting down for a period of L2 minutes again, and adding one to the resetting times; if the linkage analysis module does not receive the operation abnormal signal again within L2 minutes, the linkage analysis is completed, and the resetting times are cleared; the method comprises the steps that a reset threshold value is obtained through a storage module, when the reset times are smaller than the reset threshold value, the linkage state of a power-off object is judged to be controllable, and a linkage analysis module sends a controllable signal to a processor; when the resetting times are more than or equal to the resetting threshold value, the linkage state of the power-off object is judged to be uncontrollable, the influence of the power-off object on other monitored objects is uncontrollable, the linkage analysis module sends an uncontrollable signal to the processor, the processor cuts off the power supplies of all power distribution lines of the offshore power grid platform after receiving the uncontrollable signal, and meanwhile, the processor sends an early warning signal to a mobile phone terminal of a manager; the monitoring objects with abnormal operation can be subjected to correlation analysis through the linkage analysis module, after one monitoring object has the abnormal operation phenomenon, the conditions and the occurrence frequency of the abnormal operation phenomenon of other follow-up monitoring objects are analyzed, whether the other monitoring objects are influenced by the monitoring objects with the abnormal operation or not is judged, and the abnormal operation phenomenon is caused to continuously spread, so that the power supplies of all the monitoring objects can be timely cut off when the correlation state is uncontrollable, and the phenomenon that the whole offshore power platform is paralyzed is prevented.
The environment detection module monitors and analyzes the working environment of the monitored object after receiving the abnormal operation signal: the method comprises the following steps of dividing a monitored object into a plurality of analysis lines, and acquiring temperature data WD, humidity data SD and acid-base data SJ of the analysis lines, wherein the acquisition process of the temperature data WD of the analysis lines comprises the following steps: acquiring an air temperature value and a temperature range on an analysis line, summing the maximum value and the minimum value of the temperature range to obtain an average value of the temperature, and marking the absolute value of the difference value of the air temperature value and the average value of the temperature as temperature data WD; the acquisition process of the humidity data SD of the analysis line comprises the following steps: acquiring an air humidity value and a humidity range on an analysis line, summing the maximum value and the minimum value of the humidity range to obtain an average value of the humidity, and marking the absolute value of the difference value of the air humidity value and the average value of the humidity as humidity data SD of the analysis line; the acquisition process of acid-base data SJ of the analysis line comprises the following steps: acquiring a ph value of air on an analysis line, and marking an absolute value of a difference value between the ph value and 7 as acid-base data SJ; obtaining an environmental coefficient HJ of the analysis line through a formula HJ ═ β 1 × WD + β 2 × SD + β 3 × SJ, where the environmental coefficient is a numerical value reflecting the degree of influence of the environment on the operation state of the monitored object, and the larger the numerical value of the environmental coefficient is, the larger the degree of influence of the environment on the operation state of the monitored object is, the higher the possibility that the cause of the operation abnormality is the environmental abnormality is; wherein beta 1, beta 2 and beta 3 are all proportionality coefficients, and beta 3 is more than beta 2 and more than beta 1 and more than 1; summing the environmental coefficients of all analysis lines, averaging to obtain an environmental expression value of a monitored object, establishing an environmental set of the environmental coefficients of all the analysis lines, and calculating the variance of the environmental set to obtain an environmental deviation value of the monitored object, wherein the environmental deviation value is a numerical value representing the difference degree of the environmental coefficients among the analysis lines; the method comprises the following steps of acquiring an environmental performance threshold and an environmental deviation threshold through a storage module, and comparing an environmental performance value and an environmental deviation value of a monitored object with the environmental performance threshold and the environmental deviation threshold respectively: if the environmental performance value is smaller than the environmental performance threshold value and the environmental deviation value is smaller than the environmental deviation threshold value, judging that the reason of abnormal operation of the monitored object is irrelevant to the environment of the monitored object, and sending a maintenance signal to a mobile phone terminal of a manager by the environmental detection module through the processor; otherwise, judging that the reason of the abnormal operation of the monitored object is related to the environment of the monitored object, and sending an environment adjusting signal to a mobile phone terminal of a manager by the environment detection module through the processor; the environment detection module is used for carrying out environment analysis on the monitoring object with abnormal operation, and whether the reason of the abnormal operation is caused by the abnormal environment is judged according to the result of the environment analysis, so that the reason causing the abnormal operation is checked, the time for checking the abnormal reason in the follow-up maintenance process is saved, and the later-stage maintenance efficiency is improved.
Example two
As shown in fig. 2, an electrical intelligent data processing method for an offshore power grid includes the following steps:
the method comprises the following steps: the method comprises the steps of marking a distribution line subjected to monitoring analysis as a monitored object, decomposing monitoring time into a plurality of monitoring time intervals, obtaining a power distribution coefficient of the monitored object in the monitoring time intervals, and judging whether the monitored object runs abnormally in the monitoring time intervals according to the numerical value of the power distribution coefficient, so that timely maintenance is performed when the monitored object runs abnormally, and the running safety of electrical equipment and the distribution line is ensured;
step two: when the monitored object runs abnormally, carrying out environment monitoring on the monitored object, dividing the monitored object into a plurality of analysis lines, acquiring an environment coefficient of the analysis lines, acquiring an environment expression value and an environment deviation value through the environment coefficient, judging that the monitored object runs abnormally and is unrelated to the environment under the condition that the environment expression value and the environment deviation value meet requirements, otherwise, judging that the monitored object runs abnormally and is related to the environment, and sending an environment regulation signal to a mobile phone terminal of a manager through a processor; the reasons causing the operation abnormity are checked, so that the time for checking the abnormal reasons in the subsequent maintenance is saved, and the later-stage maintenance efficiency is improved;
step three: the monitoring object with abnormal operation is marked as a power failure object, the power supply of the power failure object is cut off, the power failure object is subjected to linkage analysis, the linkage object of the power failure object is obtained through the linkage analysis, and the power supply of the linkage object is cut off and the power supplies of all monitoring objects of the offshore power grid platform are cut off when the linkage state is uncontrollable; when the association state is not controllable, the power supplies of all monitored objects can be cut off in time, so that the phenomenon that the whole offshore power platform is paralyzed is prevented.
An electrical intelligent data processing device for an offshore power grid is characterized in that when the device works, a distribution line for monitoring and analyzing is marked as a monitoring object, monitoring time is divided into a plurality of monitoring time periods, a power distribution coefficient of the monitoring object in the monitoring time periods is obtained, and whether the monitoring object runs abnormally in the monitoring time periods is judged according to the numerical value of the power distribution coefficient; and marking the monitoring object with abnormal operation as a power failure object, cutting off the power supply of the power failure object, performing linkage analysis on the power failure object, acquiring the linkage object of the power failure object through the linkage analysis, cutting off the power supply of the linkage object, and cutting off the power supplies of all the monitoring objects of the offshore power grid platform when the linkage state is uncontrollable.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula PD ═ α 1 × DY + α 2 × YC)/(α 3 × BH); collecting multiple groups of sample data and setting corresponding power distribution coefficients for each group of sample data by a person skilled in the art; substituting the set power distribution coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.18, 3.25 and 2.27 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the initial setting of a corresponding power distribution coefficient for each group of sample data by a person skilled in the art; the proportional relation between the parameters and the quantized numerical values is not affected, for example, the distribution coefficient is in direct proportion to the numerical value of the pressure difference data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. An electrical intelligent data processing device for an offshore power grid comprises a processor, and is characterized in that the processor is in communication connection with a power distribution monitoring module, a linkage analysis module, an environment detection module and a storage module;
the power distribution monitoring module is used for monitoring and analyzing the distribution lines of the electrical equipment of the offshore power grid platform: marking the distribution line subjected to monitoring analysis as a monitoring object, decomposing the monitoring time into a plurality of monitoring time intervals, obtaining a power distribution coefficient of the monitoring object in the monitoring time intervals, and judging whether the monitoring object operates normally in the monitoring time intervals according to the numerical value of the power distribution coefficient;
marking the monitoring object with abnormal operation as a power-off object, and cutting off the power supply of the power-off object;
the linkage analysis module is used for carrying out linkage analysis on the monitoring object with abnormal operation, acquiring a linkage object of the power-off object, cutting off the power supply of the linkage object of the power-off object and judging whether the linkage state of the power-off object is controllable or not;
and the environment detection module is used for monitoring and analyzing the working environment of the monitoring object with abnormal operation.
2. The offshore power grid electrical intelligent data processing device as recited in claim 1, wherein the power distribution coefficient obtaining process comprises: acquiring voltage data, differential pressure data and time-varying data of a monitored object in a monitoring period, and carrying out numerical calculation on the voltage data, the differential pressure data and the time-varying data in the monitoring period to obtain a power distribution coefficient of the monitoring period;
the voltage data of the monitoring object in the monitoring period is the maximum voltage value in the monitoring period; the differential pressure data of the monitored object in the monitoring period is the difference value between the maximum voltage value and the minimum voltage value in the monitoring period; the time-varying data of the monitored object in the monitoring period is the time difference between the maximum voltage value and the minimum voltage value in the monitoring period.
3. The offshore power grid electrical intelligent data processing device as recited in claim 2, wherein the process of determining whether the monitored object operates normally in the monitoring period comprises: acquiring a power distribution threshold value through a storage module, and comparing the power distribution coefficient of a monitoring period with the power distribution threshold value:
if the power distribution coefficient is smaller than the power distribution threshold value, judging that the monitored object normally operates in the monitoring period, and sending a normal operation signal to the processor by the power distribution monitoring module;
if the power distribution coefficient is larger than or equal to the power distribution threshold value, judging that the monitored object operates abnormally in the monitoring time period, and sending an abnormal operation signal to the processor by the power distribution monitoring module; and after receiving the abnormal operation signal, the processor sends the abnormal operation signal to the linkage analysis module and the environment detection module.
4. The offshore power grid electrical intelligent data processing device as recited in claim 3, wherein the specific process of linkage analysis of the outage object comprises: counting down when the linkage analysis module receives the operation abnormal signal, wherein the counting down time is L2 minutes, if the linkage analysis module receives the operation abnormal signal again in L2 minutes, marking a monitoring object corresponding to the received operation abnormal signal as a linkage object of a power-off object, resetting the counting down, counting down again for L2 minutes, and adding one to the resetting times; and if the linkage analysis module does not receive the operation abnormal signal again within the L2 minutes, completing linkage analysis and clearing the reset times.
5. The offshore power grid electrical intelligent data processing device according to claim 4, wherein the specific process of determining whether the linkage state of the power outage object is controllable comprises: the method comprises the steps that a reset threshold value is obtained through a storage module, when the reset times are smaller than the reset threshold value, the linkage state of a power-off object is judged to be controllable, and a linkage analysis module sends a controllable signal to a processor; when the reset times are larger than or equal to the reset threshold value, the linkage state of the power failure object is judged to be uncontrollable, the linkage analysis module sends uncontrollable signals to the processor, the processor cuts off the power supplies of all distribution lines of the offshore power grid platform after receiving the uncontrollable signals, and meanwhile the processor sends early warning signals to a mobile phone terminal of a manager.
6. The offshore power grid electrical intelligent data processing device as claimed in claim 1, wherein the process of monitoring and analyzing the working environment of the monitored object by the environment detection module comprises: dividing a monitored object into a plurality of analysis lines, and acquiring temperature data, humidity data and acid-base data of the analysis lines; the environment coefficient of the analysis line is obtained by carrying out numerical calculation on the temperature data, the humidity data and the acid-base data of the analysis line; the method comprises the steps of summing the environmental coefficients of all analysis lines, taking an average value to obtain an environmental expression value of a monitored object, establishing an environmental set of the environmental coefficients of all the analysis lines, calculating variance of the environmental set to obtain an environmental deviation value of the monitored object, obtaining an environmental expression threshold value and an environmental deviation threshold value through a storage module, comparing the environmental expression value and the environmental deviation value of the monitored object with the environmental expression threshold value and the environmental deviation threshold value respectively, and judging whether the reason of abnormal operation of the monitored object is related to the environment of the monitored object through a comparison result.
7. The electrical intelligent data processing device for offshore grid according to claim 6, wherein the comparison process of the environmental performance value and the environmental deviation value of the monitoring object with the environmental performance threshold value and the environmental deviation threshold value specifically comprises:
if the environmental performance value is smaller than the environmental performance threshold value and the environmental deviation value is smaller than the environmental deviation threshold value, judging that the reason of abnormal operation of the monitored object is irrelevant to the environment of the monitored object, and sending a maintenance signal to a mobile phone terminal of a manager by the environmental detection module through the processor;
otherwise, the reason for the abnormal operation of the monitored object is judged to be related to the environment of the monitored object, and the environment detection module sends an environment adjusting signal to the mobile phone terminal of the manager through the processor.
8. The offshore power grid electrical intelligent data processing device according to claim 6, wherein the process of acquiring the temperature data of the analysis line comprises: acquiring an air temperature value and a temperature range on an analysis line, summing the maximum value and the minimum value of the temperature range to obtain an average value to obtain a temperature average value, and marking the absolute value of the difference value of the air temperature value and the temperature average value as temperature data; the acquisition process for analyzing the humidity data of the line comprises the following steps: acquiring an air humidity value and a humidity range on an analysis line, summing the maximum value and the minimum value of the humidity range to obtain an average value of humidity, and marking the absolute value of the difference value of the air humidity value and the humidity average value as humidity data of the analysis line; the acquisition process of the acid-base data of the analysis line comprises the following steps: and acquiring the ph value of the air on the analysis line, and marking the absolute value of the difference between the ph value and 7 as acid-base data.
9. The offshore power grid electrical intelligent data processing device according to any one of claims 1 to 8, wherein the working method of the offshore power grid electrical intelligent data processing device comprises the following steps:
the method comprises the following steps: marking the distribution line subjected to monitoring analysis as a monitoring object, decomposing the monitoring time into a plurality of monitoring time intervals, obtaining a power distribution coefficient of the monitoring object in the monitoring time intervals, and judging whether the monitoring object operates abnormally in the monitoring time intervals according to the numerical value of the power distribution coefficient;
step two: the method comprises the steps that when a monitored object runs abnormally, the monitored object is subjected to environment monitoring, the monitored object is divided into a plurality of analysis lines, environment coefficients of the analysis lines are obtained, an environment expression value and an environment deviation value are obtained through the environment coefficients, the monitored object is judged to run abnormally and not to be related to the environment under the condition that the environment expression value and the environment deviation value meet requirements, otherwise, the monitored object is judged to run abnormally and to be related to the environment, and an environment adjusting signal is sent to a mobile phone terminal of a manager through a processor;
step three: the monitoring object with abnormal operation is marked as a power failure object, the power supply of the power failure object is cut off, linkage analysis is carried out on the power failure object, the linkage object of the power failure object is obtained through linkage analysis, the power supply of the linkage object is cut off, and the power supplies of all monitoring objects of the offshore power grid platform are cut off when the linkage state is uncontrollable.
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