CN114928168A - Offshore platform unmanned data edge computing device - Google Patents
Offshore platform unmanned data edge computing device Download PDFInfo
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- CN114928168A CN114928168A CN202210647033.XA CN202210647033A CN114928168A CN 114928168 A CN114928168 A CN 114928168A CN 202210647033 A CN202210647033 A CN 202210647033A CN 114928168 A CN114928168 A CN 114928168A
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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
Abstract
The invention belongs to the field of offshore platforms, relates to a data processing technology, and solves the problem that the existing offshore platform unmanned data edge computing device cannot feed back the integral operation condition of an offshore platform according to the operation state detection result of power equipment, in particular to an offshore platform unmanned data edge computing device which comprises a processor, wherein the processor is in communication connection with an equipment supervision module, a region management module, a maintenance recommendation module, a controller and a storage module; the equipment supervision module is used for carrying out operation supervision analysis on the power equipment, marking the power equipment as primary equipment, secondary equipment or tertiary equipment, and when the power equipment is marked as the tertiary equipment, the equipment management module sends a shutdown signal to the processor; the invention can monitor and analyze the running state of each power device of the offshore platform, and is beneficial to analyzing the integral running state of the offshore platform by combining the device running monitoring result.
Description
Technical Field
The invention belongs to the field of offshore platforms, relates to a data processing technology, and particularly relates to an unmanned data edge computing device for an offshore platform.
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 existing offshore platform unmanned data edge computing device cannot feed back the overall operation condition of an offshore platform according to the detection result of the operation state of power equipment, and cannot feed back and optimize in time when the layout of the power equipment of the offshore platform is unreasonable, so that the operation efficiency and the operation effect of the offshore platform cannot meet the requirements.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide an offshore platform unmanned data edge computing device, which is used for solving the problem that the existing offshore platform unmanned data edge computing device cannot feed back the overall operation condition of an offshore platform according to the detection result of the operation state of power equipment;
the technical problems to be solved by the invention are as follows: how to provide an offshore platform unmanned data edge computing device capable of analyzing the overall operation state and layout rationality.
The purpose of the invention can be realized by the following technical scheme:
an offshore platform unmanned data edge computing device comprises a processor, wherein the processor is in communication connection with an equipment supervision module, an area management module, a maintenance recommendation module, a controller and a storage module;
the device monitoring module is used for monitoring and analyzing the operation of the power equipment, marking the power equipment as primary equipment, secondary equipment or tertiary equipment, sending a shutdown signal to the processor by the device management module when the power equipment is marked as the tertiary equipment, sending the shutdown signal to the maintenance recommendation module and the controller after the processor receives the shutdown signal, and cutting off a power supply line corresponding to the power equipment after the controller receives the shutdown signal;
the region management module is used for carrying out regional management on the offshore platform according to the equipment supervision and analysis result, obtaining a regional expression value and a layout coefficient of the offshore platform, and judging whether the whole power equipment of the offshore platform is qualified and whether the layout is reasonable or not according to the numerical values of the regional expression value and the layout coefficient;
and the maintenance recommending module receives the shutdown signal and then recommends a maintenance worker for the power equipment with the power supply line disconnected.
As a preferred embodiment of the present invention, a specific process of the device supervision module performing operation supervision analysis on the power device includes: when the offshore platform power equipment runs, obtaining temperature data, voltage data and noise data of the power equipment, obtaining a state coefficient ZT of the power equipment by carrying out numerical value calculation on the temperature data, the voltage data and the noise data of the power equipment, obtaining state thresholds ZTmin and ZTmax through a storage module, comparing the state coefficient ZT with the state thresholds ZTmin and ZTmax, and marking the power equipment as primary equipment, secondary equipment or tertiary equipment according to a comparison result.
As a preferred embodiment of the present invention, the process of acquiring temperature data of an electric power device includes: the method comprises the steps of obtaining a line temperature value and a temperature range when the electric power equipment runs, marking an average value of a maximum value and a minimum value of the temperature range as a temperature mean value, marking an absolute value of a difference value of the line temperature value and the temperature mean value as temperature data of the electric power equipment, and obtaining voltage data of the electric power equipment, wherein the obtaining process comprises the following steps: acquiring a line voltage value and a standard voltage value when the power equipment operates, and marking an absolute value of a difference value between the line voltage value and the standard voltage value as voltage data of the power equipment; the noise data of the power equipment is a decibel value of noise generated when the power equipment works.
As a preferred embodiment of the present invention, the specific process of comparing the state coefficient ZT with the state threshold values ZTmin and ZTmax includes: if the ZTmin is not more than ZTmin, judging that the operation state of the power equipment meets the requirement, and marking the corresponding power equipment as primary equipment; if ZTmin is more than ZT and less than ZTmax, judging that the operation state of the power equipment does not meet the requirement, and marking the corresponding power equipment as secondary equipment; and if the ZTmin is more than or equal to ZTmax, judging that the running state of the power equipment does not meet the requirement, and marking the corresponding power equipment as third-level equipment.
As a preferred embodiment of the present invention, the specific process of the regional management module for performing regional management on the offshore platform includes: the method comprises the steps of dividing an offshore platform into detection areas i, wherein i is 1, 2 and …, n is a positive integer, marking the total number of power equipment in the detection area i as ZS, obtaining the measurement of secondary equipment and tertiary equipment in the detection area i, respectively marking the measurement as EJ and SJ, and carrying out numerical calculation through the EJ, the SJ and the ZS to obtain an area coefficient QYi of the detection area i; summing the area coefficients QYi of the detection area i, taking an average value to obtain an area expression value of the offshore platform, establishing an area set for the area coefficients QYi of the detection area i, calculating the variance of the area set to obtain a layout coefficient of the offshore platform, obtaining an area expression threshold value and a layout threshold value through a storage module, respectively comparing the area expression value and the layout coefficient of the offshore platform with the area expression threshold value and the layout threshold value, and judging whether the whole electrical equipment of the offshore platform is qualified and whether the layout is reasonable through a comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the region expression value and the layout coefficient of the offshore platform with the region expression threshold and the layout threshold respectively includes: if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is greater than or equal to the layout threshold value, judging that the whole electrical equipment of the offshore platform is unqualified and unreasonable in layout, and sending an equipment upgrading signal and a layout optimization signal to a processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is larger than or equal to the layout threshold value, judging that the whole electrical equipment of the offshore platform is qualified but unreasonable in layout, and sending a layout optimization signal to the processor by the area management module; if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is smaller than the layout threshold value, judging that the offshore platform is reasonable in layout but the whole power equipment is unqualified, and sending an equipment upgrading signal to the processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is smaller than the layout threshold value, the integral qualification and reasonable layout of the electrical equipment of the offshore platform are judged, and the area management module sends a qualification signal to the processor.
As a preferred embodiment of the present invention, the specific process of the maintenance recommendation module performing the recommendation of the maintenance worker for the power equipment with the power supply line broken includes: marking the power equipment with the power supply circuit cut off as a maintenance object, drawing a circle by taking the maintenance object as the center of the circle and r1 as the radius, marking the obtained circular area as a recommended area, and acquiring the geographic positions and identity information of all maintenance workers in the recommended area, wherein the identity information of the maintenance workers comprises the names, ages, working years, historical maintenance times and mobile phone numbers of the maintenance workers; marking the working years and the historical maintenance times of a maintainer as CN and WC respectively; marking the linear distance between a maintainer and a maintenance object as JL, carrying out numerical calculation on CN, WC and JL through a formula to obtain a recommendation coefficient of the maintainer, sequencing the maintainers according to the numerical value of the recommendation coefficient from large to small, marking the maintainers positioned at the first three positions as primary-selected workers, marking the primary-selected workers with the minimum linear distance value with the maintenance object as recommended workers, and sending the geographic position of the maintenance object and a maintenance signal to a mobile phone terminal of the recommended workers through a processor by a maintenance recommendation module.
As a preferred embodiment of the present invention, the working method of the offshore platform unmanned data edge computing device comprises the following steps:
the method comprises the following steps: carrying out numerical calculation on temperature data, voltage data and noise data of the power equipment to obtain a state coefficient of the power equipment, and marking the power equipment as primary equipment, secondary equipment or tertiary equipment according to the numerical value of the state coefficient of the power equipment;
step two: the method comprises the steps of dividing the offshore platform into a plurality of detection areas, calculating the distribution ratio of secondary equipment and tertiary equipment in the detection areas to obtain the area expression value and the layout coefficient of the detection areas, and judging whether the offshore platform needs equipment upgrading and layout optimization according to the numerical values of the area expression value and the layout coefficient;
step three: and performing recommendation area division on the third-level equipment, screening maintenance workers in the recommendation area according to the numerical value of the recommendation coefficient to obtain the recommendation workers, and sending the geographic position of the maintenance object and the maintenance signal to a mobile phone terminal of the recommendation workers through a processor.
The invention has the following beneficial effects:
1. the operation state of each power device of the offshore platform is monitored and analyzed through the device supervision module, early warning is timely carried out when the operation state of the power device is abnormal, and meanwhile, the operation state of the power device is graded, so that the analysis of the whole operation state of the offshore platform is favorably carried out by combining with the device operation monitoring result;
2. the offshore platform is subjected to regional management through the regional management module, the operation state grade of the power equipment in each detection region is analyzed, the number ratio of the secondary equipment and the tertiary equipment in each detection region is analyzed, the layout coefficient and the regional representation value are obtained, early warning is timely performed under the conditions that the overall operation state of the offshore platform is unqualified and the layout is unreasonable by combining the regional representation value and the layout coefficient, and the operation efficiency and the operation effect of the offshore platform can meet the requirements;
3. the maintenance recommendation module is used for recommending maintenance workers for the three-level equipment, comprehensive analysis is carried out on the position, maintenance experience and other parameters of the maintenance workers, and the most suitable workers for maintenance are obtained through screening, so that the maintenance efficiency and the maintenance success rate of the three-level equipment are 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 description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings 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 below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Edge computing means that an open platform integrating network, computing, storage and application core capabilities is adopted on one side close to an object or a data source, nearest-end service is provided nearby, an application program is initiated on the edge side, faster network service response is generated, and the basic requirements of the industry on real-time business, application intelligence, safety, privacy protection and the like are met.
Example one
As shown in fig. 1, an offshore platform unmanned data edge computing device includes a processor, where the processor is communicatively connected with an equipment supervision module, a region management module, a maintenance recommendation module, a controller, and a storage module.
The equipment supervision module is used for carrying out operation supervision analysis on the power equipment: when the offshore platform power equipment operates, acquiring temperature data WD, voltage data DY and noise data ZS of the operation of the power equipment, wherein the acquiring process of the temperature data WD of the power equipment comprises the following steps: the method comprises the steps of obtaining a line temperature value and a temperature range when the power equipment runs, marking the average value of the maximum value and the minimum value of the temperature range as a temperature mean value, directly obtaining the temperature value by a temperature sensor, wherein the temperature sensor is a sensor which can sense the temperature and convert the temperature into an available output signal, and the temperature sensor is the core part of a temperature measuring instrument; marking the absolute value of the difference value between the line temperature value and the temperature mean value as temperature data WD of the electric equipment, wherein the acquiring process of the voltage data DY of the electric equipment comprises the following steps: the method comprises the steps of obtaining a line voltage value and a standard voltage value when the power equipment runs, wherein the line voltage value is directly obtained by a universal meter, the universal meter is also called a multiplex meter, a multi-purpose meter, a three-purpose meter, a multi-purpose meter and the like, is an indispensable measuring instrument for departments such as power electronics and the like, and generally takes voltage, current and resistance measurement as main purposes; marking an absolute value of a difference value between the line voltage value and the standard voltage value as voltage data DY of the electric device; the noise data ZS of the power equipment is a noise decibel value generated when the power equipment works; obtaining a state coefficient ZT of the electric power equipment by a formula ZT which is alpha 1 multiplied by the number (WD) + alpha 2 multiplied by the number (DY) + alpha 3 multiplied by the number (ZS), wherein the state coefficient is a numerical value reflecting the operating state of the electric power equipment, and the higher the numerical value of the state coefficient is, the worse the operating state of the electric power equipment 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 state threshold values ZTmin and ZTmax through a storage module, and comparing the state coefficient ZT with the state threshold values ZTmin and ZTmax: if the ZTmin is not more than ZTmin, judging that the operation state of the power equipment meets the requirement, and marking the corresponding power equipment as primary equipment; if ZTmin is more than ZT and less than ZTmax, judging that the operating state of the power equipment does not meet the requirement, and marking the corresponding power equipment as secondary equipment; if the ZTmin is larger than or equal to ZTmax, judging that the running state of the power equipment does not meet the requirement, marking the corresponding power equipment as three-stage equipment, sending a shutdown signal to a processor by an equipment management module, sending the shutdown signal to a maintenance recommendation module and a controller by the processor after receiving the shutdown signal, and cutting off a power supply line of the corresponding power equipment by the controller after receiving the shutdown signal; the operation state of each power device of the offshore platform is monitored and analyzed, early warning is timely carried out when the operation state of the power device is abnormal, and meanwhile, the operation state of the power device is graded, so that the analysis of the whole operation state of the offshore platform by combining the device operation monitoring result is facilitated.
The regional management module is used for performing regional management on the offshore platform according to the equipment supervision and analysis result: the method comprises the steps of dividing an offshore platform into detection areas i, wherein i is 1, 2, …, n is a positive integer, marking the total number of electric equipment in the detection area i as ZS, obtaining the measurement of secondary equipment and tertiary equipment in the detection area i, respectively marking the measurement as EJ and SJ, and respectively marking the measurement as EJ and SJ according to a formula
Obtaining an area coefficient QYi of the detection area i, wherein the larger the value of the area coefficient is, the worse the overall operation state of the power equipment in the corresponding detection area is, wherein β 1, β 2 and β 3 are proportionality coefficients, and β 3 > β 2 > β 1 > 1; summing and averaging the area coefficients QYi of the detection area i to obtain an area representation value of the offshore platform, establishing an area set by the area coefficients QYi of the detection area i, and carrying out a method for carrying out the area setObtaining a layout coefficient of the offshore platform through difference calculation, obtaining a region expression threshold and a layout threshold through a storage module, and comparing the region expression value and the layout coefficient of the offshore platform with the region expression threshold and the layout threshold respectively: if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is greater than or equal to the layout threshold value, judging that the whole electrical equipment of the offshore platform is unqualified and unreasonable in layout, and sending an equipment upgrading signal and a layout optimization signal to a processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is larger than or equal to the layout threshold value, judging that the whole electrical equipment of the offshore platform is qualified but unreasonable in layout, and sending a layout optimization signal to the processor by the area management module; if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is smaller than the layout threshold value, judging that the offshore platform is reasonable in layout but the whole power equipment is unqualified, and sending an equipment upgrading signal to the processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is smaller than the layout threshold value, the overall qualification and reasonable layout of the power equipment of the offshore platform are judged, and the area management module sends a qualification signal to the processor; the offshore platform management method comprises the steps of carrying out regional management on the offshore platform, analyzing the operation state grade of the power equipment in each detection region, analyzing the number ratio of the secondary equipment and the tertiary equipment in each detection region, obtaining a layout coefficient and a regional representation value, combining the regional representation value and the layout coefficient, timely giving an early warning under the conditions that the overall operation state of the offshore platform is unqualified and the layout is unreasonable, and further ensuring that the operation efficiency and the operation effect of the offshore platform can meet requirements.
The maintenance recommending module receives the shutdown signal and then recommends maintenance workers for the power equipment with the power supply line disconnected: marking the power equipment with the power supply circuit cut off as a maintenance object, drawing a circle by taking the maintenance object as the center of the circle and r1 as the radius, marking the obtained circular area as a recommended area, and acquiring the geographic positions and identity information of all maintenance workers in the recommended area, wherein the identity information of the maintenance workers comprises the names, ages, working years, historical maintenance times and mobile phone numbers of the maintenance workers; marking the working years and the historical maintenance times of a maintainer as CN and WC respectively; marking a straight-line distance between a maintainer and a maintenance object as JL, and obtaining a recommended coefficient of the maintainer through a formula TJ (gamma 1 × CN + gamma 2 × WC)/(gamma 3 × JL), wherein the maintenance coefficient is a numerical value reflecting the suitability of the maintainer for executing the maintenance task, and the larger the numerical value of the maintenance coefficient is, the more suitable the corresponding maintainer is for executing the maintenance task; wherein gamma 1, gamma 2 and gamma 3 are proportionality coefficients, and gamma 1 is more than gamma 2 and more than gamma 3 is more than 1; the maintenance workers are ranked according to the numerical value of the recommendation coefficient from large to small, the maintenance workers positioned at the first three positions are marked as primary selection workers, the primary selection workers with the smallest linear distance numerical value with the maintenance object are marked as recommendation workers, and the maintenance recommendation module sends the geographic position of the maintenance object and the maintenance signal to the mobile phone terminal of the recommendation workers through the processor; and recommending maintenance workers for the three-level equipment, comprehensively analyzing and screening the most suitable workers for maintenance by combining parameters such as positions of the maintenance workers, maintenance experience and the like, so that the maintenance efficiency and the maintenance success rate of the three-level equipment are improved.
Example two
As shown in fig. 2, an offshore platform unmanned data edge calculation method includes the following steps:
the method comprises the following steps: the temperature data, the voltage data and the noise data of the power equipment are subjected to numerical calculation to obtain the state coefficient of the power equipment, and the power equipment is marked as primary equipment, secondary equipment or tertiary equipment according to the numerical value of the state coefficient of the power equipment, so that the analysis of the integral operation state of the offshore platform is facilitated by combining the equipment operation monitoring result;
step two: the method comprises the steps of dividing the offshore platform into a plurality of detection areas, calculating the distribution ratio of secondary equipment and tertiary equipment in the detection areas to obtain the area expression value and the layout coefficient of the detection areas, judging whether the offshore platform needs equipment upgrading and layout optimization according to the numerical values of the area expression value and the layout coefficient, and timely early warning under the conditions that the overall operation state of the offshore platform is unqualified and the layout is unreasonable;
step three: the method comprises the steps of carrying out recommendation area division on the three-level equipment, screening maintenance workers in a recommendation area according to the numerical value of a recommendation coefficient to obtain the recommendation workers, and sending the geographic position of a maintenance object and a maintenance signal to a mobile phone terminal of the recommendation workers through a processor, so that the maintenance efficiency and the maintenance success rate of the three-level equipment are improved.
An offshore platform unmanned data edge computing device is used for carrying out numerical value computation on temperature data, voltage data and noise data of power equipment to obtain a state coefficient of the power equipment when the offshore platform unmanned data edge computing device works, and marking the power equipment as primary equipment, secondary equipment or tertiary equipment according to the numerical value of the state coefficient of the power equipment, so that the analysis on the integral operation state of an offshore platform is facilitated by combining an equipment operation monitoring result; the offshore platform is divided into a plurality of detection areas, whether equipment upgrading and layout optimization are needed to be carried out on the offshore platform is judged according to the numerical values of the area expression values and the layout coefficients, and early warning is timely carried out under the conditions that the overall operation state of the offshore platform is unqualified and the layout is unreasonable.
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 obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula TJ ═ γ 1 × CN + γ 2 × WC)/(γ 3 × JL); collecting multiple groups of sample data and setting a corresponding recommendation coefficient for each group of sample data by a person skilled in the art; substituting the set recommendation 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 gamma 1, gamma 2 and gamma 3 which are 5.27, 2.84 and 1.15 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 a corresponding recommendation coefficient is preliminarily set for each group of sample data by a person skilled in the art; it is sufficient if the proportional relationship between the parameters and the quantized values is not affected, for example, the recommended coefficient is proportional to the value of the working life.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 (8)
1. An offshore platform unmanned data edge computing device comprises a processor, and is characterized in that the processor is in communication connection with an equipment supervision module, a region management module, a maintenance recommendation module, a controller and a storage module;
the device monitoring module is used for monitoring and analyzing the operation of the power equipment, marking the power equipment as primary equipment, secondary equipment or tertiary equipment, sending a shutdown signal to the processor by the device management module when the power equipment is marked as the tertiary equipment, sending the shutdown signal to the maintenance recommendation module and the controller after the processor receives the shutdown signal, and cutting off a power supply line corresponding to the power equipment after the controller receives the shutdown signal;
the region management module is used for carrying out regional management on the offshore platform according to the equipment supervision and analysis result, obtaining a regional expression value and a layout coefficient of the offshore platform, and judging whether the whole power equipment of the offshore platform is qualified and whether the layout is reasonable or not according to the numerical values of the regional expression value and the layout coefficient;
and the maintenance recommending module receives the shutdown signal and then recommends a maintenance worker for the power equipment with the power supply line disconnected.
2. The offshore platform unmanned data edge computing device of claim 1, wherein the specific process of the equipment supervision module performing operation supervision analysis on the power equipment comprises: when the offshore platform power equipment operates, acquiring operating temperature data, operating voltage data and operating noise data of the power equipment, performing numerical calculation on the operating temperature data, operating voltage data and operating noise data of the power equipment to obtain a state coefficient ZT of the power equipment, acquiring state thresholds ZTmin and ZTmax through a storage module, comparing the state coefficient ZT with the state thresholds ZTmin and ZTmax, and marking the power equipment as primary equipment, secondary equipment or tertiary equipment according to a comparison result.
3. The offshore platform unmanned data edge computing device of claim 2, wherein the process of obtaining temperature data of the electrical equipment comprises: the method comprises the steps of obtaining a line temperature value and a temperature range when the electric power equipment runs, marking an average value of a maximum value and a minimum value of the temperature range as a temperature mean value, marking an absolute value of a difference value of the line temperature value and the temperature mean value as temperature data of the electric power equipment, and obtaining voltage data of the electric power equipment, wherein the obtaining process comprises the following steps: the method comprises the steps of obtaining a line voltage value and a standard voltage value when the power equipment runs, and marking an absolute value of a difference value between the line voltage value and the standard voltage value as voltage data of the power equipment; the noise data of the power equipment is a noise decibel value generated when the power equipment works.
4. The offshore platform unmanned data edge computing device of claim 2, wherein the specific process of comparing the state coefficient ZT with the state threshold values ZTmin, ZTmax comprises: if the ZTmin is not more than ZTmin, judging that the running state of the power equipment meets the requirement, and marking the corresponding power equipment as primary equipment; if ZTmin is more than ZT and less than ZTmax, judging that the operation state of the power equipment does not meet the requirement, and marking the corresponding power equipment as secondary equipment; and if the ZTmin is more than or equal to ZTmax, judging that the running state of the power equipment does not meet the requirement, and marking the corresponding power equipment as third-level equipment.
5. The offshore platform unmanned data edge computing device of claim 1, wherein the specific process of the regional management module for regional management of the offshore platform comprises: the method comprises the steps of dividing an offshore platform into detection areas i, wherein i is 1, 2 and …, n is a positive integer, marking the total number of power equipment in the detection area i as ZS, obtaining the measurement of secondary equipment and tertiary equipment in the detection area i, respectively marking the measurement as EJ and SJ, and carrying out numerical calculation through the EJ, the SJ and the ZS to obtain an area coefficient QYi of the detection area i; the method comprises the steps of summing area coefficients QYi of a detection area i, averaging to obtain an area expression value of the offshore platform, establishing an area set of the area coefficients QYi of the detection area i, calculating variance of the area set to obtain a layout coefficient of the offshore platform, obtaining an area expression threshold value and a layout threshold value through a storage module, comparing the area expression value and the layout coefficient of the offshore platform with the area expression threshold value and the layout threshold value respectively, and judging whether the whole power equipment of the offshore platform is qualified or not and whether the layout is reasonable or not through a comparison result.
6. The offshore platform unmanned data edge computing device of claim 5, wherein the specific process of comparing the regional performance value and the layout coefficient of the offshore platform with the regional performance threshold value and the layout threshold value respectively comprises: if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is greater than or equal to the layout threshold value, judging that the whole electric equipment of the offshore platform is unqualified and unreasonable in layout, and sending an equipment upgrading signal and a layout optimization signal to a processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is larger than or equal to the layout threshold value, judging that the whole electrical equipment of the offshore platform is qualified but unreasonable in layout, and sending a layout optimization signal to the processor by the area management module; if the area performance value is greater than or equal to the area performance threshold value and the layout coefficient is smaller than the layout threshold value, judging that the offshore platform is reasonable in layout but the whole power equipment is unqualified, and sending an equipment upgrading signal to the processor by the area management module; if the area performance value is smaller than the area performance threshold value and the layout coefficient is smaller than the layout threshold value, the overall qualification and reasonable layout of the power equipment of the offshore platform are judged, and the area management module sends a qualification signal to the processor.
7. The offshore platform unmanned data edge computing device of claim 1, wherein the specific process of the maintenance recommendation module for performing maintenance worker recommendation on the power equipment with the power supply line broken comprises: marking the power equipment with the power supply circuit cut off as a maintenance object, drawing a circle by taking the maintenance object as the center of the circle and r1 as the radius, marking the obtained circular area as a recommended area, and acquiring the geographic positions and identity information of all maintenance workers in the recommended area, wherein the identity information of the maintenance workers comprises the names, ages, working years, historical maintenance times and mobile phone numbers of the maintenance workers; respectively marking the working years and the historical maintenance times of a maintainer as CN and WC; marking the linear distance between a maintainer and a maintenance object as JL, carrying out numerical calculation on CN, WC and JL through a formula to obtain a recommendation coefficient of the maintainer, sequencing the maintainers according to the numerical value of the recommendation coefficient from large to small, marking the maintainers positioned at the first three positions as primary-selected workers, marking the primary-selected workers with the minimum linear distance value with the maintenance object as recommended workers, and sending the geographic position of the maintenance object and a maintenance signal to a mobile phone terminal of the recommended workers through a processor by a maintenance recommendation module.
8. The offshore platform unmanned data edge computing device of any one of claims 1-7, wherein the offshore platform unmanned data edge computing device operating method comprises the steps of:
the method comprises the following steps: carrying out numerical calculation on temperature data, voltage data and noise data of the power equipment to obtain a state coefficient of the power equipment, and marking the power equipment as primary equipment, secondary equipment or tertiary equipment according to the numerical value of the state coefficient of the power equipment;
step two: the method comprises the steps of dividing the offshore platform into a plurality of detection areas, calculating the distribution ratio of secondary equipment and tertiary equipment in the detection areas to obtain the area expression value and the layout coefficient of the detection areas, and judging whether the offshore platform needs equipment upgrading and layout optimization according to the numerical values of the area expression value and the layout coefficient;
step three: and performing recommendation area division on the third-level equipment, screening maintenance workers in the recommendation area according to the numerical value of the recommendation coefficient to obtain the recommendation workers, and sending the geographic position of the maintenance object and the maintenance signal to a mobile phone terminal of the recommendation workers through a processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115296422A (en) * | 2022-09-30 | 2022-11-04 | 华能辛店发电有限公司 | Power cable running state monitoring and control system and method based on big data |
| CN116540941A (en) * | 2023-05-08 | 2023-08-04 | 安徽国防科技职业学院 | Data storage safety control system based on cloud computing |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115296422A (en) * | 2022-09-30 | 2022-11-04 | 华能辛店发电有限公司 | Power cable running state monitoring and control system and method based on big data |
| CN115296422B (en) * | 2022-09-30 | 2022-12-27 | 华能辛店发电有限公司 | Power cable running state monitoring and control system and method based on big data |
| CN116540941A (en) * | 2023-05-08 | 2023-08-04 | 安徽国防科技职业学院 | Data storage safety control system based on cloud computing |
| CN116540941B (en) * | 2023-05-08 | 2023-10-20 | 安徽国防科技职业学院 | Data storage safety control system based on cloud computing |
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