CN116954169B - Information security control method, device, equipment and medium based on DCS control - Google Patents
Information security control method, device, equipment and medium based on DCS control Download PDFInfo
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The application relates to an information security control method, device, equipment and medium based on DCS control, which are applied to the technical field of DCS control systems, and the method comprises the following steps: responding to a data acquisition command, and acquiring first operation data; determining a first power generation number of the wind driven generator based on the first operation data; judging whether the wind driven generator is a target wind driven generator or not based on the first power generation number; if the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result; and performing fault monitoring according to the analysis result to obtain a fault monitoring result. The application has the effects of automatically judging whether the network or the equipment in the wind power plant has faults or not and the fault condition, improving the fault judging efficiency and reducing the waste of human resources.
Description
Technical Field
The application relates to the technical field of DCS control systems, in particular to an information security control method, device, equipment and medium based on DCS control.
Background
The DCS control system is called a distributed control system, can be also interpreted as a distributed control system or a distributed computer control system, adopts a basic design idea of centralized control dispersion, operation and management, adopts a multi-layer hierarchical and cooperative autonomous structural form, is a product of combining computer technology, system control technology, network communication technology and multimedia technology, and is generally divided into three layers: a field control stage, a centralized operation monitoring stage and a comprehensive information management stage.
When the DCS control system is applied to the wind power plant, in order to ensure that the wind power plant can normally operate, the DCS control system is required to continuously perform information transmission and verification in the operation process of the wind power plant, and ensure that the data of the wind power plant can be monitored in real time, but when the wind power plant is in the information transmission process, if faults occur, the faults are usually required to be detected manually, the efficiency is low, and the labor is wasted.
Disclosure of Invention
In order to automatically judge whether a network or equipment in a wind power plant fails or not and the condition of failure, the application provides an information security control method, device, equipment and medium based on DCS control, which improves the efficiency of judging the failure and reduces the waste of human resources.
In a first aspect, the present application provides an information security control method based on DCS control, which adopts the following technical scheme:
An information security control method based on DCS control includes:
responding to a data acquisition command, and acquiring first operation data;
Determining a first power generation number of the wind driven generator based on the first operation data;
judging whether the wind driven generator is a target wind driven generator or not based on the first power generation number;
If the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result;
and performing fault monitoring according to the analysis result to obtain a fault monitoring result.
By adopting the technical scheme, in the wind power plant, the central control processor acquires the first operation data, judges whether the wind power generator corresponding to the first operation data is the target wind power generator or not through the first operation data, judges whether the first operation data is correct before performing wind power generator difference analysis, reduces the possibility of error of the analysis result of the target wind power generator caused by error of the first operation data, performs difference analysis based on the first operation data corresponding to the target wind power generator and the standard data, can obtain a fault monitoring result according to the analysis result, and automatically judges whether a network fails or not, whether the wind power generator fails or not and the failure condition of the wind power generator in an information transmission mode, thereby improving the failure judging efficiency and reducing the waste of manpower resources.
Optionally, the performing the differential analysis based on the standard data and the first operation data, and obtaining an analysis result includes:
Determining a data transmission time based on the first operation data;
Acquiring reference wind condition data based on the data transmitting moment, wherein the reference wind condition data is used as the standard data, and the reference wind condition data comprises reference wind speed;
Acquiring historical wind condition data and environment data of the target monitoring points;
Performing wind condition environment curve fitting based on the historical wind condition data and the environment data to obtain a wind condition environment fitting curve;
Calculating a preset wind speed of the target wind driven generator based on the wind condition environment fitting curve and the standard data;
performing difference judgment based on the preset wind speed and the first operation data to obtain a judgment result;
and taking the judgment result as the analysis result.
By adopting the technical scheme, because wind condition information can change along with time change, the wind condition data of the target monitoring point at the data transmission moment is obtained and used as reference wind condition data, the reference wind condition data can be more accurate, after the reference wind condition data is obtained, the preset wind speed of the target wind driven generator at the data transmission moment is also required to be obtained through calculation by referring to the wind condition data, and the complex calculation is not required to be repeated every time the preset wind speed is calculated by using the historical wind condition data of the target monitoring point and the environment data to draw a wind condition environment fitting curve, so that the process of calculating the preset wind speed is more concise.
Optionally, the performing wind condition environmental curve fitting based on the historical wind condition data and the environmental data, and obtaining a wind condition environmental fitting curve includes:
Constructing a historical wind condition database based on the historical wind condition data and the environmental data;
Performing wind condition environment curve fitting based on the historical wind condition database to obtain a first wind condition environment fitting curve;
obtaining the distance between each wind driven generator and the target monitoring point to obtain a plurality of first distance values;
correcting the first wind condition environment fitting curve based on the first distance values to obtain a second wind condition environment fitting curve;
screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve;
And taking the third wind condition environment fitting curve as the wind condition environment fitting curve of the target wind driven generator.
By adopting the technical scheme, the wind condition environment fitting curve is drawn by constructing the historical wind condition database, the data in the database can be directly imported into the curve fitting tool without repeatedly inputting the historical wind condition data and the environment data into the curve fitting tool, a great amount of time is saved, the distance difference exists between the target wind driven generator and the target monitoring point, the distance influences the wind condition data, the error can be reduced by correcting the first wind condition environment fitting curve through the distance, the obtained wind condition environment fitting curve is more accurate, the calculated preset wind speed is more accurate, the accuracy of the preset wind speed increases the accuracy of the analysis result, and the accuracy of the fault monitoring result is further increased.
Optionally, the screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve includes:
obtaining the distance between the target wind driven generator and the target monitoring point to obtain a second distance value;
Screening the plurality of second wind condition environment fitting curves based on the second distance value to obtain a plurality of initial wind condition environment fitting curves;
Determining a wind direction of the target wind turbine based on the first operational data;
And screening the initial wind condition environment fitting curves based on the wind direction to obtain a third wind condition environment fitting curve.
Through adopting above-mentioned technical scheme, carry out twice screening through second distance value and wind direction, can make the third wind condition environment fitting curve that screens more accurate, calculate the wind speed of predetermineeing through third wind condition environment fitting curve, make the wind speed of predetermineeing more accurate to the accuracy of analysis result has been increased.
Optionally, the performing difference judgment based on the preset wind speed and the first operation data, and obtaining the judgment result includes:
determining a current wind speed based on the first operational data;
Calculating according to a preset rule based on the current wind speed and the preset wind speed to obtain a difference value;
determining a difference grade based on a preset difference range and the difference;
and performing differential analysis on the target wind driven generator according to the differential grade to obtain the analysis result.
By adopting the technical scheme, the difference between the current wind speed and the preset wind speed is calculated, and the difference is divided into different difference grades according to the difference, so that the analysis result can be obtained more conveniently according to the difference grades.
Optionally, the determining the difference level based on the preset difference range and the difference value includes:
if the difference value meets a first preset difference value range, the difference value belongs to a first difference grade;
the first preset difference range includes: the difference value is larger than or equal to the first preset difference value and smaller than the second preset difference value;
if the difference value meets a second preset difference value range, the difference value belongs to a second difference grade;
The second preset difference range includes: the difference value is larger than or equal to the second preset difference value and smaller than a third preset difference value;
if the difference value meets a third preset difference value range, the difference value belongs to a third difference grade;
the third preset difference range includes: the difference value is larger than or equal to the third preset difference value;
wherein the first preset difference, the second preset difference and the third preset difference are gradually increased.
Optionally, if the wind turbine is not the target wind turbine, the method further includes:
acquiring current acquisition times, wherein the current acquisition times comprise times for acquiring the first operation data;
judging whether the current acquisition times are larger than preset acquisition times or not;
If the current acquisition times are not greater than the preset acquisition times, acquiring second operation data;
determining a third power generation number of the wind driven generator again based on the second operation data;
If the wind driven generator with the third power generation number is not the target wind driven generator, processing the current collection times according to a preset rule to obtain new current collection times, and repeating the step of obtaining the current collection times.
Through adopting above-mentioned technical scheme, through setting up the mode of predetermineeing the collection number of times and recording current collection number of times, reduced because network trouble infinitely cycle central control processor sends the data acquisition order to the target aerogenerator, wait for the response and judge the possibility of whether second operation data that receives is the process of target aerogenerator, thereby reduced the possibility of wasting of resources, and central control processor can not always carry out the circulation, just can in time judge other aerogenerator's corresponding first operation data, thereby can in time discover other aerogenerator's trouble.
In a second aspect, the present application provides an information security control device based on DCS control, which adopts the following technical scheme:
an information security control device based on DCS control, comprising:
The response acquisition module is used for responding to the data acquisition command and acquiring first operation data;
the determining module is used for determining the power generation number of the wind driven generator based on the first operation data;
The judging module is used for judging whether the wind driven generator is a target wind driven generator or not based on the power generation number; if the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result;
And the fault monitoring module is used for carrying out fault monitoring according to the analysis result to obtain a fault monitoring result.
By adopting the technical scheme, in the wind power plant, the central control processor acquires the first operation data, judges whether the wind power generator corresponding to the first operation data is the target wind power generator through the first operation data, judges whether the first operation data is correct before performing wind power generator difference analysis, reduces the possibility of error analysis results of the target wind power generator due to network faults caused by first operation data errors, performs difference analysis based on the first operation data corresponding to the target wind power generator and standard data, can obtain fault monitoring results according to the analysis results, automatically judges whether the network is faulty or not and whether the wind power generator is faulty or not in a fault condition through an information transmission mode, improves the efficiency of judging faults, and reduces the waste of human resources.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
an electronic device comprising a processor coupled with a memory;
The processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method of any one of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects.
Drawings
Fig. 1 is a schematic flow chart of an information security control method based on DCS control according to an embodiment of the present application.
Fig. 2 is a block diagram of an information security control device 200 based on DCS control according to an embodiment of the present application.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
The embodiment of the application provides an information security control method based on DCS control, which can be executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc.
As shown in fig. 1, an information security control method based on DCS control, the main flow of the method is described as follows (steps S101 to S105):
Step S101, in response to a data acquisition command, acquiring first operation data.
When the data acquired by the wind power plant is required to be monitored, a central control processor in the DCS control system responds to a command of data acquisition and receives first operation data transmitted by a field controller in the DCS control system, and when the DCS control system is applied in the environment of the wind power plant, the central control processor needs to acquire all the first operation data in the wind power plant so as to monitor the wind power plant, and at present, the central control processor acquires the first operation data by adopting a network signal, wherein the transmission mode of the network signal comprises but is not limited to WiFi, 4G and 5G.
When the central control processor needs to monitor the target wind driven generator, the central control processor sends a data acquisition command to the target wind driven generator, and after receiving the data acquisition command, the target wind driven generator sends first operation data to the central control processor; the first operation data comprises equipment information, sending time, wind condition information and environment information; the equipment information comprises a position and a motor model, the wind condition information comprises wind speed, wind quantity, wind direction and wind frequency, and the environment information comprises temperature, humidity, air density and pressure.
Step S102, determining a first power generation number of the wind driven generator based on the first operation data.
In this embodiment, after the central control processor receives the first operation data, it needs to determine, according to the device information, a first power generation number corresponding to the first operation data, so as to verify whether the wind turbine corresponding to the first operation data is a target wind turbine; wherein the first power generation number is the number of the wind driven generator, for example: the power generation of the wind power generator is named, and if the power generation of the wind power generator is 500KW, the first power generation number of the wind power generator is 500-1, which is merely illustrative and not particularly limited.
Step S103, judging whether the wind driven generator is a target wind driven generator or not based on the first power generation number.
In a wind power plant, when a site controller in a DCS control system sends first operation data to a central control processor, the first operation data transmitted by a wind power generator is inconsistent with data transmitted by a target wind power generator due to equipment failure or network interference of the wind power generator, and information leakage is easy in the process, so that whether the wind power generator corresponding to the first operation data is the target wind power generator is required to be determined according to a first power generation number.
In this embodiment, the central control processor may obtain all the second power generation numbers in the wind power plant from the preset database, and then compare the first power generation numbers with the second power generation numbers, and if the comparison is consistent, determine that the wind power generator corresponding to the first operation data is the target wind power generator; if the comparison is inconsistent, judging that the wind driven generator corresponding to the first operation data is not the target wind driven generator.
And step S104, performing difference analysis based on the standard data and the first operation data to obtain an analysis result.
Specifically, performing differential analysis based on the standard data and the first operation data, and obtaining an analysis result includes: determining a data transmission time based on the first operation data; acquiring reference wind condition data based on the data transmitting moment, wherein the reference wind condition data is used as standard data, and the reference wind condition data comprises reference wind speed; acquiring historical wind condition data and environment data of a target monitoring point; performing wind condition environment curve fitting based on historical wind condition data and environment data to obtain a wind condition environment fitting curve; calculating a preset wind speed of the target wind driven generator based on a wind condition environment fitting curve; performing difference judgment based on the preset wind speed and the first operation data to obtain a judgment result; and taking the judgment result as an analysis result.
In a wind power plant, a plurality of monitoring points exist, the position coordinates of all the monitoring points and the position coordinates of a target wind power generator are obtained through a preset database, a plurality of distance values between each monitoring point and the target wind power generator are calculated after the position coordinates of each monitoring point and the position coordinates of the target wind power generator are obtained, the plurality of distance values are ordered according to the sequence from large to small, and the monitoring point corresponding to the minimum distance value is selected as the target monitoring point.
In this embodiment, since the wind condition information changes with time, when acquiring the reference wind condition data, it is necessary to determine the data transmission time so that the reference wind condition data is the monitoring point data corresponding to the data transmission time, so that the reference wind condition data is more standard, for example, when 9:00 is used, the target monitoring point wind speed is 50m/s, when 9:05 is used, the target monitoring point wind speed is 49m/s, the data transmission time is 9:00, when 9:05 is used, the reference wind speed is 50m/s, the central control processor acquires the wind condition data at the data transmission time from the target monitoring point, uses the acquired wind condition data as the reference wind condition data, and uses the reference wind condition data as the standard data.
After standard data are obtained, wind condition environment curve fitting is needed according to historical wind condition data and environment data of the target monitoring points, and a corresponding wind condition environment fitting curve is obtained.
The historical wind condition data and the environmental data comprise historical wind speed and historical temperature, the obtained historical wind condition data and environmental data are imported into a curve fitting tool, the curve fitting tool can be a curve software or a MATLAB software, and the imported historical wind condition data and environmental data are processed by using the curve fitting tool to obtain a wind condition environmental fitting curve; the wind condition environment fitting curve comprises the historical wind speed, and standard data are brought into the wind condition environment fitting curve, so that the preset wind speed corresponding to the target wind driven generator can be obtained.
Comparing the preset wind speed with the first operation data to obtain the difference between the preset wind speed and the first operation data, judging according to the difference between the preset wind speed and the first operation data to obtain an analysis result, wherein the analysis result comprises the normal state of the target generator and the fault state of the target wind power generator.
Specifically, performing wind condition environmental curve fitting based on historical wind condition data and environmental data, and obtaining a wind condition environmental fitting curve includes: constructing a historical wind condition database based on the historical wind condition data and the environmental data; performing wind condition environment curve fitting based on a historical wind condition database to obtain a first wind condition environment fitting curve; obtaining the distance between each wind driven generator and a monitoring point to obtain a plurality of first distance values; correcting the first wind condition environment fitting curve based on the plurality of first distance values to obtain a plurality of second wind condition environment fitting curves; screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve; and taking the third wind condition environment fitting curve as a wind condition environment fitting curve of the target wind driven generator.
In this embodiment, wind condition environment curve fitting is performed by constructing a historical wind condition database, a historical wind condition database needs to be built, historical wind condition data and environment data are imported into the historical wind condition database, the historical wind condition database is imported into a curve fitting tool, and the imported historical wind condition data and environment data are processed by using the curve fitting tool to obtain a first wind condition environment fitting curve.
Because the distance difference exists between the target wind driven generator and the target monitoring point, and the distance can influence the wind condition data, if the first operation data is judged by directly taking the reference wind condition data of the target monitoring point as a reference, errors can occur, and therefore, the fitting curve of the first wind condition environment needs to be corrected according to the distance.
For example, the target monitoring point is taken as an origin, the reference wind speed at the moment is 100m/s, the distance between the target wind driven generator and the target monitoring point is 100m, and the preset wind speed at the moment is 90m/s.
When the first wind condition environment fitting curve is corrected, position coordinates of the target monitoring points and each wind driven generator are required to be obtained, the distance between each wind driven generator and the target monitoring points is calculated through the position coordinates, the calculated distance is recorded as a first distance value, so that a plurality of first distance values are obtained, the first wind condition environment fitting curve is corrected by taking the plurality of first distance values as a reference, a plurality of corrected wind condition environment fitting curves are obtained, and the corrected wind condition environment fitting curves are recorded as second wind condition environment fitting curves.
After the second wind condition environment fitting curve is obtained, a second wind condition environment fitting curve corresponding to the target wind driven generator is screened out from the plurality of second wind condition environment fitting curves, and the screened second wind condition environment fitting curve is marked as a third wind condition environment fitting curve.
Specifically, screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve includes: obtaining the distance between the target wind driven generator and the target monitoring point to obtain a second distance value; screening the plurality of second wind condition environment fitting curves based on the second distance value to obtain a plurality of initial wind condition environment fitting curves; determining a wind direction of the target wind turbine based on the first operational data; and screening the plurality of initial wind condition environment fitting curves based on the wind direction to obtain a third wind condition environment fitting curve.
In this embodiment, when a second wind condition environment fitting curve corresponding to the target wind turbine is selected from a plurality of second wind condition environment fitting curves, position coordinates of the target monitoring point and the target wind turbine need to be obtained, a distance between the target wind turbine and the target monitoring point is calculated according to the position coordinates of the target monitoring point and the target wind turbine, the calculated distance is recorded as a second distance value, the second wind condition environment fitting curve is screened based on the second distance value, an initial wind condition environment fitting curve conforming to the second distance value is obtained, at this time, due to arrangement and size of the wind power plant, a plurality of initial wind condition environment fitting curves exist, and due to the fact that the distance between the target monitoring point and the target wind turbine is closest, wind direction change is minimum, the initial wind condition environment fitting curve can be further screened according to the wind direction of the target monitoring point, and a third wind condition environment fitting curve is obtained, wherein the third wind condition environment fitting curve is the wind condition environment fitting curve corresponding to the target wind turbine.
Further, performing difference judgment based on the preset wind speed and the first operation data, and obtaining a judgment result includes: determining a current wind speed based on the first operational data; calculating according to a preset rule based on the current wind speed and a preset wind speed to obtain a difference value; determining a difference grade based on a preset difference range and a difference value; and performing differential analysis on the target wind driven generator according to the differential grade to obtain an analysis result.
In this embodiment, the preset wind speed is a wind speed corresponding to the target wind driven generator at the data transmitting moment, which is obtained through calculation processing of the third wind condition environment fitting curve, the preset wind speed is compared with the current wind speed determined through the first operation data, a difference value between the preset wind speed and the current wind speed is calculated, and analysis is performed through the difference value to obtain an analysis result, wherein the analysis result comprises the target wind driven generator normal and the target wind driven generator fault.
Specifically, determining the difference level based on the preset difference range and the difference value includes: if the difference value meets a first preset difference value range, the difference value belongs to a first difference grade; the first preset difference range includes: the difference value is larger than or equal to the first preset difference value and smaller than the second preset difference value; if the difference value meets a second preset difference value range, the difference value belongs to a second difference grade; the second preset difference range includes: the difference value is larger than or equal to the second preset difference value and smaller than the third preset difference value; if the difference value meets a third preset difference value range, the difference value belongs to a third difference grade; the third preset difference range includes: the difference is greater than or equal to a third preset difference. Wherein the first preset difference, the second preset difference and the third preset difference are gradually increased.
In this embodiment, the difference between the preset wind speed and the current wind speed is divided into three difference levels, namely a first difference level, a second difference level and a third difference level, each difference level satisfies different preset difference ranges, the preset difference ranges are divided by preset differences, the preset differences are divided into three values, namely a first preset difference, a second preset difference and a third preset difference, and the values of the first preset difference, the second preset difference and the third preset difference are gradually increased.
For example: the first preset difference is 0, the second preset difference is 2, the third preset difference is 4, the first preset difference range is [0, 2], the second preset difference range is [2, 4), the third preset difference range is [4, + ], if the preset wind speed is 50m/s, the current wind speed is 47m/s, the difference is 3, at this time, the difference meets the second preset difference range, and the difference belongs to the second difference grade, which is only exemplified and not specifically limited.
If the difference value belongs to the first difference grade, the analysis result is that the target wind driven generator is normal; if the difference value belongs to the second difference level and the third difference level, the analysis result is the fault of the target wind driven generator.
Step S105, fault monitoring is carried out according to the analysis result, and a fault monitoring result is obtained.
The fault monitoring result includes that the target wind power generator can continue to operate, the target wind power generator needs maintenance, and the target wind power generator needs maintenance.
If the analysis result is that the target wind driven generator is normal, the fault monitoring result can continue to operate; if the analysis result is that the target wind driven generator fails, determining a failure monitoring result according to the difference grade, and if the difference value belongs to a second difference grade, maintaining the target wind driven generator; if the difference value belongs to the third difference level, the fault monitoring result is that the target wind driven generator needs to be maintained.
If the wind power generator is not the target wind power generator, further comprising: acquiring current acquisition times, wherein the current acquisition times comprise times of acquiring first operation data; judging whether the current acquisition times are larger than preset acquisition times or not; if the current acquisition times are not greater than the preset acquisition times, acquiring second operation data; determining a third power generation number of the wind driven generator again based on the second operation data; if the wind driven generator with the third power generation number is not the target wind driven generator, the current collection times are processed according to a preset rule to obtain new current collection times, and the step of obtaining the current collection times is repeated.
In this embodiment, because the network fault causes a data transmission error, it is possible that the first operation data received by the central control processor does not correspond to the target wind turbine, at this time, the central control processor needs to send a data acquisition command to the target wind turbine again, the central control processor receives the second operation data, and because there is still a possibility that an error occurs in the data transmission process, the received second operation data still needs to be judged, a third power generation number of the wind turbine sending the second operation data is determined by the second operation data, the third power generation number is compared with the second power generation number of the target wind turbine, if the third power generation number is completely consistent with the second power generation number, the wind turbine corresponding to the second operation data is the target wind turbine, otherwise, the wind turbine corresponding to the second operation data is not the target wind turbine, at this time, a cycle needs to be continuously executed, and the process that the central control processor sends the data acquisition command to the target wind turbine, waits for a response, and judges whether the received second operation data is the target wind turbine is the process.
In actual production and life, the central control processor can not always receive the second operation data transmitted by the target wind driven generator due to fluctuation or faults of the network, so that the resource is wasted, the central control processor can not monitor other equipment conditions, and faults can not be found timely.
Therefore, a preset acquisition frequency and a current acquisition frequency are required to be set, the preset acquisition frequency refers to the maximum circulation frequency, the current acquisition frequency refers to the current circulation frequency, whether the current acquisition frequency is larger than the preset acquisition frequency or not is required to be judged before a central control processor sends a data acquisition command to a target wind driven generator each time, if the current acquisition frequency is not larger than the preset acquisition frequency, circulation can be continuously executed, and 1-adding operation is required to be carried out on the current acquisition frequency when each circulation is finished, and if the current acquisition frequency is larger than the preset acquisition frequency, the circulation is ended, and network faults are judged.
Fig. 2 is a block diagram of an information security control device 200 based on DCS control according to an embodiment of the present application.
As shown in fig. 2, the DCS control based information security control device 200 mainly includes:
A response acquiring module 201, configured to acquire first operation data in response to a data acquiring command;
a determining module 202 for determining a power generation number of the wind turbine based on the first operation data;
A judging module 203, configured to judge whether the wind turbine is a target wind turbine based on the power generation number; if the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result;
And the fault monitoring module 204 is configured to perform fault monitoring according to the analysis result, so as to obtain a fault monitoring result.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to perform a difference analysis based on the standard data and the first operation data, and the obtaining an analysis result includes: determining a data transmission time based on the first operation data; acquiring reference wind condition data based on the data transmitting moment, wherein the reference wind condition data is used as standard data, and the reference wind condition data comprises reference wind speed; acquiring historical wind condition data and environment data of a target monitoring point; performing wind condition environment curve fitting based on historical wind condition data and environment data to obtain a wind condition environment fitting curve; calculating a preset wind speed of the target wind driven generator based on the wind condition environment fitting curve and the standard data; performing difference judgment based on the preset wind speed and the first operation data to obtain a judgment result; and taking the judgment result as an analysis result.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to perform wind condition environmental curve fitting based on the historical wind condition data and the environmental data, and the obtaining a wind condition environmental fitting curve includes: constructing a historical wind condition database based on the historical wind condition data and the environmental data; performing wind condition environment curve fitting based on a historical wind condition database to obtain a first wind condition environment fitting curve; obtaining the distance between each wind driven generator and a target monitoring point to obtain a plurality of first distance values; correcting the first wind condition environment fitting curve based on the plurality of first distance values to obtain a plurality of second wind condition environment fitting curves; screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve; and taking the third wind condition environment fitting curve as a wind condition environment fitting curve of the target wind driven generator.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to screen a plurality of second wind condition environment fitting curves, and obtaining a third wind condition environment fitting curve includes: obtaining the distance between the target wind driven generator and the target monitoring point to obtain a second distance value; screening the plurality of second wind condition environment fitting curves based on the second distance value to obtain a plurality of initial wind condition environment fitting curves; determining a wind direction of the target wind turbine based on the first operational data; and screening the plurality of initial wind condition environment fitting curves based on the wind direction to obtain a third wind condition environment fitting curve.
As an optional implementation manner of this embodiment, the judging module 203 is further specifically configured to perform difference judgment based on the preset wind speed and the first operation data, and the obtaining a judgment result includes: determining a current wind speed based on the first operational data; calculating according to a preset rule based on the current wind speed and a preset wind speed to obtain a difference value; determining a difference grade based on a preset difference range and a difference value; and performing differential analysis on the target wind driven generator according to the differential grade to obtain an analysis result.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to determine the difference level based on the preset difference range and the difference value includes: if the difference value meets a first preset difference value range, the difference value belongs to a first difference grade; the first preset difference range includes: the difference value is larger than or equal to the first preset difference value and smaller than the second preset difference value; if the difference value meets a second preset difference value range, the difference value belongs to a second difference grade; the second preset difference range includes: the difference value is larger than or equal to the second preset difference value and smaller than the third preset difference value; if the difference value meets a third preset difference value range, the difference value belongs to a third difference grade; the third preset difference range includes: the difference is greater than or equal to a third preset difference. Wherein the first preset difference, the second preset difference and the third preset difference are gradually increased.
As an optional implementation manner of this embodiment, the determining module 203 is further specifically configured to, if the wind turbine is not the target wind turbine, further include: acquiring current acquisition times, wherein the current acquisition times comprise times of acquiring first operation data; judging whether the current acquisition times are larger than preset acquisition times or not; if the current acquisition times are not greater than the preset acquisition times, acquiring second operation data; determining a third power generation number of the wind driven generator again based on the second operation data; if the wind driven generator with the third power generation number is not the target wind driven generator, the current collection times are processed according to a preset rule to obtain new current collection times, and the step of obtaining the current collection times is repeated.
In one example, a module in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (application specific integratedcircuit, ASIC), or one or more digital signal processors (DIGITAL SIGNAL processor, DSP), or one or more field programmable gate arrays (field programmable GATE ARRAY, FPGA), or a combination of at least two of these integrated circuit forms.
For another example, when a module in an apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke a program. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Fig. 3 is a block diagram of an electronic device 300 according to an embodiment of the present application.
As shown in FIG. 3, electronic device 300 includes a processor 301 and memory 302, and may further include an information input/information output (I/O) interface 303, one or more of a communication component 304, and a communication bus 305.
Wherein the processor 301 is configured to control the overall operation of the electronic device 300 to complete all or part of the steps of the DCS control-based information security control method described above; the memory 302 is used to store various types of data to support operation at the electronic device 300, which may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The Memory 302 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as one or more of static random access Memory (Static Random Access Memory, SRAM), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The I/O interface 303 provides an interface between the processor 301 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near field Communication (NFC for short), 2G, 3G, or 4G, or a combination of one or more thereof, the corresponding Communication component 304 can include: wi-Fi part, bluetooth part, NFC part.
The electronic device 300 may be implemented by one or more Application Specific Integrated Circuits (ASIC), digital signal Processor (DIGITAL SIGNAL Processor, DSP), digital signal processing device (DIGITAL SIGNAL Processing Device, DSPD), programmable logic device (Programmable Logic Device, PLD), field programmable gate array (Field Programmable GATE ARRAY, FPGA), controller, microcontroller, microprocessor or other electronic components for performing the DCS control-based information security control method as set forth in the above embodiments.
Communication bus 305 may include a pathway to transfer information between the aforementioned components. The communication bus 305 may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The communication bus 305 may be divided into an address bus, a data bus, a control bus, and the like.
The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like, and may also be a server, and the like.
The application also provides a computer readable storage medium, wherein the computer readable storage medium is stored with a computer program, and the computer program realizes the steps of the information security control method based on DCS control when being executed by a processor.
The computer readable storage medium may include: a usb disk, a removable hard disk, a read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.
Claims (7)
1. The information security control method based on DCS control is characterized by comprising the following steps:
responding to a data acquisition command, and acquiring first operation data;
Determining a first power generation number of the wind driven generator based on the first operation data;
judging whether the wind driven generator is a target wind driven generator or not based on the first power generation number;
If the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result;
performing fault monitoring according to the analysis result to obtain a fault monitoring result;
performing differential analysis based on the standard data and the first operation data to obtain an analysis result, wherein the step of obtaining the analysis result comprises the following steps of:
Determining a data transmission time based on the first operation data;
Acquiring reference wind condition data based on the data transmitting moment, wherein the reference wind condition data is used as the standard data, and the reference wind condition data comprises reference wind speed;
acquiring historical wind condition data and environment data of a target monitoring point;
Performing wind condition environment curve fitting based on the historical wind condition data and the environment data to obtain a wind condition environment fitting curve;
Calculating a preset wind speed of the target wind driven generator based on the wind condition environment fitting curve and the standard data;
performing difference judgment based on the preset wind speed and the first operation data to obtain a judgment result;
taking the judgment result as the analysis result;
The wind condition environment curve fitting is performed based on the historical wind condition data and the environment data, and the obtaining of the wind condition environment fitting curve comprises the following steps:
Constructing a historical wind condition database based on the historical wind condition data and the environmental data;
Performing wind condition environment curve fitting based on the historical wind condition database to obtain a first wind condition environment fitting curve;
obtaining the distance between each wind driven generator and the target monitoring point to obtain a plurality of first distance values;
Correcting the first wind condition environment fitting curve based on the first distance values to obtain a plurality of second wind condition environment fitting curves;
screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve;
Taking the third wind condition environment fitting curve as the wind condition environment fitting curve of the target wind driven generator;
Screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve comprises the following steps:
obtaining the distance between the target wind driven generator and the target monitoring point to obtain a second distance value;
Screening the plurality of second wind condition environment fitting curves based on the second distance value to obtain a plurality of initial wind condition environment fitting curves;
Determining a wind direction of the target wind turbine based on the first operational data;
And screening the initial wind condition environment fitting curves based on the wind direction to obtain a third wind condition environment fitting curve.
2. The method of claim 1, wherein the performing the difference determination based on the preset wind speed and the first operation data, and obtaining the determination result includes:
determining a current wind speed based on the first operational data;
Calculating according to a preset rule based on the current wind speed and the preset wind speed to obtain a difference value;
determining a difference grade based on a preset difference range and the difference;
and performing differential analysis on the target wind driven generator according to the differential grade to obtain the analysis result.
3. The method of claim 2, wherein the determining a level of difference based on a preset range of differences and the difference comprises:
if the difference value meets a first preset difference value range, the difference value belongs to a first difference grade;
the first preset difference range includes: the difference value is larger than or equal to the first preset difference value and smaller than the second preset difference value;
if the difference value meets a second preset difference value range, the difference value belongs to a second difference grade;
The second preset difference range includes: the difference value is larger than or equal to the second preset difference value and smaller than a third preset difference value;
if the difference value meets a third preset difference value range, the difference value belongs to a third difference grade;
the third preset difference range includes: the difference value is larger than or equal to the third preset difference value;
wherein the first preset difference, the second preset difference and the third preset difference are gradually increased.
4. The method of claim 1, wherein if the wind generator is not the target wind generator, the method further comprises:
acquiring current acquisition times, wherein the current acquisition times comprise times for acquiring the first operation data;
judging whether the current acquisition times are larger than preset acquisition times or not;
If the current acquisition times are not greater than the preset acquisition times, acquiring second operation data;
determining a third power generation number of the wind driven generator again based on the second operation data;
if the wind driven generator corresponding to the third power generation number is not the target wind driven generator, processing the current collection times according to a preset rule to obtain new current collection times, and repeating the step of obtaining the current collection times.
5. An information security control device based on DCS control, comprising:
The response acquisition module is used for responding to the data acquisition command and acquiring first operation data;
the determining module is used for determining the power generation number of the wind driven generator based on the first operation data;
The judging module is used for judging whether the wind driven generator is a target wind driven generator or not based on the power generation number; if the wind driven generator is the target wind driven generator, performing difference analysis based on the standard data and the first operation data to obtain an analysis result;
The fault monitoring module is used for carrying out fault monitoring according to the analysis result to obtain a fault monitoring result;
The judging module is further specifically configured to perform a difference analysis based on the standard data and the first operation data, and the obtaining an analysis result includes:
Determining a data transmission time based on the first operation data;
Acquiring reference wind condition data based on the data transmitting moment, wherein the reference wind condition data is used as the standard data, and the reference wind condition data comprises reference wind speed;
acquiring historical wind condition data and environment data of a target monitoring point;
Performing wind condition environment curve fitting based on the historical wind condition data and the environment data to obtain a wind condition environment fitting curve;
Calculating a preset wind speed of the target wind driven generator based on the wind condition environment fitting curve and the standard data;
performing difference judgment based on the preset wind speed and the first operation data to obtain a judgment result;
taking the judgment result as the analysis result;
The judging module is further specifically configured to perform wind condition environmental curve fitting based on the historical wind condition data and the environmental data, where obtaining a wind condition environmental fitting curve includes:
Constructing a historical wind condition database based on the historical wind condition data and the environmental data;
Performing wind condition environment curve fitting based on the historical wind condition database to obtain a first wind condition environment fitting curve;
obtaining the distance between each wind driven generator and the target monitoring point to obtain a plurality of first distance values;
Correcting the first wind condition environment fitting curve based on the first distance values to obtain a plurality of second wind condition environment fitting curves;
screening the plurality of second wind condition environment fitting curves to obtain a third wind condition environment fitting curve;
Taking the third wind condition environment fitting curve as the wind condition environment fitting curve of the target wind driven generator;
the judging module is further specifically configured to screen the plurality of second wind condition environment fitting curves, and obtaining a third wind condition environment fitting curve includes:
obtaining the distance between the target wind driven generator and the target monitoring point to obtain a second distance value;
Screening the plurality of second wind condition environment fitting curves based on the second distance value to obtain a plurality of initial wind condition environment fitting curves;
Determining a wind direction of the target wind turbine based on the first operational data;
And screening the initial wind condition environment fitting curves based on the wind direction to obtain a third wind condition environment fitting curve.
6. An electronic device comprising a processor coupled to a memory;
The processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method according to any one of claims 1-4.
7. A computer readable storage medium comprising a computer program or instructions which, when run on a computer, cause the computer to perform the method of any of claims 1-4.
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