CN113093678B - Data processing method for power plant DCS (distributed control System) - Google Patents
Data processing method for power plant DCS (distributed control System) Download PDFInfo
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- CN113093678B CN113093678B CN202110370943.3A CN202110370943A CN113093678B CN 113093678 B CN113093678 B CN 113093678B CN 202110370943 A CN202110370943 A CN 202110370943A CN 113093678 B CN113093678 B CN 113093678B
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- 238000003672 processing method Methods 0.000 title claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 75
- 238000007781 pre-processing Methods 0.000 claims description 9
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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]
- G05B19/4185—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 the network communication
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Abstract
The invention discloses a data processing method for a power plant DCS, which comprises the following steps: A. the master station and the slave station establish encrypted communication connection; B. the slave station sends the acquired data to the master station; C. the master station classifies and stores the received collected data; D. the master station transmits control information to the slave station. The invention can improve the defects of the prior art and improve the compatibility of the data processing method to different DCS systems.
Description
Technical Field
The invention relates to the technical field of power plant automation, in particular to a data processing method for a power plant DCS.
Background
In recent years, a Distributed Control System (DCS) is applied to a power plant operation System, various parameters and real-time data of the operation of a plurality of power plant units are monitored, and abundant and valuable information is contained in mass data acquired by the DCS, so how to effectively process the data is one of the keys for improving the operation efficiency of the DCS. However, because the DCS system adopts a centralized management and decentralized control architecture, and the configuration structure of the DCS system is specifically configured according to a specific application scenario, the existing data processing method cannot be compatible with DCS systems with different configuration structures, so that the data processing flow of the DCS system needs to be specially rewritten and debugged under each actual application condition, thereby increasing the use cost and the operation risk of the system.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a data processing method for the power plant DCS, which can solve the defects of the prior art and improve the compatibility of the data processing method for different DCS systems.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A data processing method for a power plant DCS comprises the following steps:
A. the master station and the slave station establish encrypted communication connection;
B. the slave station sends the collected data to the master station;
C. the master station classifies and stores the received collected data;
D. the master station transmits control information to the slave station.
Preferably, in step a, establishing an encrypted communication connection comprises the steps of,
a1, the master station sends communication interface information to the slave stations, and the slave stations encrypt the received communication interface information and send the encrypted communication interface information back to the master station;
a2, the master station obtains a communication key according to the communication interface information before and after encryption;
and A3, encrypting and transmitting communication data between the master station and the slave station through a communication key, and updating the communication key in real time.
Preferably, in step A2, the encrypted communication interface information is secondarily encrypted to ensure that the secondarily encrypted communication interface information is linearly related to the primarily encrypted communication interface information, and then encryption operators used in the twice encryption are linearly combined to obtain the communication key.
Preferably, in step A3, the encrypted communication data is line-shifted and then subjected to a mixed column operation, and the first byte of the communication key is byte-substituted with the first byte of the operation result.
Preferably, in step B, the slave station preprocesses the acquired data before transmitting the acquired data, and comprises the steps of,
b1, the slave station extracts the characteristics of the collected historical data and clusters the characteristics;
b2, extracting at least one feature from each feature set, and establishing a feature sample;
and B3, extracting the characteristics of the acquired data transmitted in real time, calculating the stable boundary of the characteristics, and if the stable boundary completely falls into the characteristic sample, directly transmitting the acquired data, otherwise, preprocessing the acquired data.
Preferably, in step B3, the preprocessing of the collected data comprises the steps of,
b31, performing secondary acquisition on the acquired data;
b32, comparing the acquired data acquired twice to obtain a characteristic deviation matrix;
and B33, correcting the newly acquired acquisition data by using the characteristic deviation matrix, then calculating a stable boundary again, if the stable boundary completely falls into the characteristic sample, transmitting the corrected acquisition data, otherwise, repeating the step B33 until the stable boundary completely falls into the characteristic sample.
Preferably, in step C, the classifying and storing the collected data includes the steps of,
c1, storing the acquired data into a data cache region;
c2, pre-classifying the acquired data according to the transmitting source address of the acquired data;
c3, sequentially carrying out secondary classification on each pre-classified collected data according to the data type and the data content;
and C4, storing the acquired data subjected to secondary classification into a data storage area.
Preferably, the data buffer area adopts a stack storage form.
Preferably, in step C3, a weight list of the data types and the data contents is established, and the collected data is classified by using the weighted weights of the data types and the data contents.
Preferably, in step C3, after the secondary classification, an association link between the collected data belonging to the same pre-classification in step C2 is established in the collected data of the same class.
Adopt the beneficial effect that above-mentioned technical scheme brought to lie in: the invention improves the data processing efficiency of the DCS system by optimizing the data processing flow under the premise of ensuring the safety.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
Example 1
A data processing method for a power plant DCS comprises the following steps:
A. the master station and the slave station establish encrypted communication connection;
B. the slave station sends the collected data to the master station;
C. the master station classifies and stores the received collected data;
D. the master station transmits control information to the slave station.
In step a, establishing an encrypted communication connection comprises the following steps,
a1, a master station sends communication interface information to a slave station, and the slave station encrypts the received communication interface information and sends the encrypted communication interface information back to the master station;
a2, the master station obtains a communication key according to the communication interface information before and after encryption;
and A3, encrypting and transmitting communication data between the master station and the slave station through a communication key, and updating the communication key in real time.
In the step A2, the encrypted communication interface information is encrypted for the second time, the communication interface information after the second encryption is ensured to be linearly related to the communication interface information after the first encryption, and then encryption operators used in the two encryptions are linearly combined to obtain the communication key.
In step C, the step of classifying and storing the collected data comprises the following steps,
c1, storing the acquired data in a data cache region;
c2, pre-classifying the acquired data according to the transmitting source address of the acquired data;
c3, sequentially carrying out secondary classification on each pre-classified collected data according to the data type and the data content;
and C4, storing the acquired data subjected to secondary classification into a data storage area.
Example 2
A data processing method for a power plant DCS comprises the following steps:
A. the master station and the slave station establish encrypted communication connection;
B. the slave station sends the collected data to the master station;
C. the master station classifies and stores the received collected data;
D. the master station transmits control information to the slave station.
In step a, establishing an encrypted communication connection comprises the following steps,
a1, a master station sends communication interface information to a slave station, and the slave station encrypts the received communication interface information and sends the encrypted communication interface information back to the master station;
a2, the master station obtains a communication key according to the communication interface information before and after encryption;
and A3, encrypting and transmitting communication data between the master station and the slave station through a communication key, and updating the communication key in real time.
In the step A2, the encrypted communication interface information is encrypted for the second time, the communication interface information after the second encryption is ensured to be linearly related to the communication interface information after the first encryption, and then encryption operators used in the two encryptions are linearly combined to obtain the communication key.
In step C, classifying and storing the collected data comprises the following steps,
c1, storing the acquired data in a data cache region;
c2, pre-classifying the acquired data according to the transmitting source address of the acquired data;
c3, sequentially carrying out secondary classification on each pre-classified collected data according to the data type and the data content;
and C4, storing the acquired data subjected to secondary classification into a data storage area.
In step B, the slave station preprocesses the acquired data before sending the acquired data, comprising the following steps,
b1, the slave station extracts the characteristics of the collected historical data and clusters the characteristics;
b2, extracting at least one feature from each feature set, and establishing a feature sample;
and B3, extracting the characteristics of the acquired data transmitted in real time, calculating a stable boundary of the characteristics, directly transmitting the acquired data if the stable boundary completely falls into the characteristic sample, and otherwise, preprocessing the acquired data.
In step B3, the preprocessing of the collected data comprises the following steps,
b31, performing secondary acquisition on the acquired data;
b32, comparing the acquired data acquired twice to obtain a characteristic deviation matrix;
and B33, correcting the newly acquired acquisition data by using the characteristic deviation matrix, then calculating a stable boundary again, if the stable boundary completely falls into the characteristic sample, transmitting the corrected acquisition data, otherwise, repeating the step B33 until the stable boundary completely falls into the characteristic sample.
Compared with the embodiment 1, the embodiment 2 has the advantages that the probability of invalid data is reduced and the data processing efficiency is improved by preprocessing the acquired data.
Example 3
A data processing method for a power plant DCS comprises the following steps:
A. the master station and the slave station establish encrypted communication connection;
B. the slave station sends the acquired data to the master station;
C. the master station classifies and stores the received acquired data;
D. the master station sends control information to the slave station.
In step a, establishing an encrypted communication connection comprises the following steps,
a1, a master station sends communication interface information to a slave station, and the slave station encrypts the received communication interface information and sends the encrypted communication interface information back to the master station;
a2, the master station obtains a communication key according to the communication interface information before and after encryption;
and A3, encrypting and transmitting communication data between the master station and the slave station through a communication key, and updating the communication key in real time.
In the step A2, the encrypted communication interface information is encrypted for the second time, the communication interface information after the second encryption is ensured to be linearly related to the communication interface information after the first encryption, and then encryption operators used in the two encryptions are linearly combined to obtain the communication key.
In step C, the step of classifying and storing the collected data comprises the following steps,
c1, storing the acquired data in a data cache region;
c2, pre-classifying the acquired data according to the transmitting source address of the acquired data;
c3, sequentially carrying out secondary classification on each pre-classified collected data according to the data type and the data content;
and C4, storing the acquired data subjected to secondary classification into a data storage area.
The data cache region adopts a stack storage form.
In step C3, a weight list of the data type and the data content is established, and the collected data is classified by using the weighted weights of the data type and the data content.
In step C3, after secondary classification, establishing an association link between the collected data belonging to the same pre-classification in step C2 in the collected data of the same class.
In step B, the slave station preprocesses the acquired data before sending the acquired data, comprising the following steps,
b1, the slave station extracts the characteristics of the collected historical data and clusters the characteristics;
b2, at least one feature is extracted from each type of feature set, and a feature sample is established;
and B3, extracting the characteristics of the acquired data transmitted in real time, calculating the stable boundary of the characteristics, and if the stable boundary completely falls into the characteristic sample, directly transmitting the acquired data, otherwise, preprocessing the acquired data.
In step B3, the pre-processing of the collected data comprises the following steps,
b31, performing secondary acquisition on the acquired data;
b32, comparing the acquired data acquired twice to obtain a characteristic deviation matrix;
and B33, correcting the newly acquired acquisition data by using the characteristic deviation matrix, then calculating a stable boundary again, if the stable boundary completely falls into the characteristic sample, transmitting the corrected acquisition data, otherwise, repeating the step B33 until the stable boundary completely falls into the characteristic sample.
Compared with the embodiment 2, the embodiment 3 improves the data reading and writing speed by optimizing the data classification mode, thereby further improving the data processing efficiency.
The foregoing shows and describes the general principles and features of the present invention, together with the advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A data processing method for a power plant DCS is characterized by comprising the following steps:
A. the master station and the slave station establish encrypted communication connection;
establishing the encrypted communication connection includes the steps of,
a1, the master station sends communication interface information to the slave stations, and the slave stations encrypt the received communication interface information and send the encrypted communication interface information back to the master station;
a2, the master station obtains a communication key according to the communication interface information before and after encryption;
carrying out secondary encryption on the encrypted communication interface information to ensure that the communication interface information after the secondary encryption is linearly related to the communication interface information after the primary encryption, and then linearly combining encryption operators used in the two-time encryption to obtain a communication key;
a3, encrypting and transmitting communication data between the master station and the slave station through a communication key, and updating the communication key in real time;
performing line displacement on the encrypted communication data, then performing mixed column operation, and performing byte replacement on the first byte of the communication key by using the first byte of the operation result;
B. the slave station sends the collected data to the master station;
C. the master station classifies and stores the received acquired data;
D. the master station transmits control information to the slave station.
2. The power plant DCS system data processing method of claim 1, wherein: in step B, the slave station preprocesses the acquired data before sending the acquired data, comprising the following steps,
b1, the slave station extracts the characteristics of the collected historical data and clusters the characteristics;
b2, extracting at least one feature from each feature set, and establishing a feature sample;
and B3, extracting the characteristics of the acquired data transmitted in real time, calculating the stable boundary of the characteristics, and if the stable boundary completely falls into the characteristic sample, directly transmitting the acquired data, otherwise, preprocessing the acquired data.
3. The power plant DCS system data processing method of claim 2, wherein: in step B3, the pre-processing of the collected data comprises the following steps,
b31, performing secondary acquisition on the acquired data;
b32, comparing the acquired data acquired twice to obtain a characteristic deviation matrix;
and B33, correcting the acquired data acquired newly by using the characteristic deviation matrix, then calculating a stable boundary again, if the stable boundary completely falls into the characteristic sample, transmitting the corrected acquired data, otherwise, repeating the step B33 until the stable boundary completely falls into the characteristic sample.
4. A power plant DCS system data processing method as claimed in claim 3, wherein: in step C, classifying and storing the collected data comprises the following steps,
c1, storing the acquired data into a data cache region;
c2, pre-classifying the acquired data according to the transmitting source address of the acquired data;
c3, sequentially carrying out secondary classification on each pre-classified collected data according to the data type and the data content;
and C4, storing the acquired data subjected to secondary classification into a data storage area.
5. The power plant DCS system data processing method of claim 4, wherein: the data cache area adopts a stack storage form.
6. The power plant DCS system data processing method of claim 5, wherein: in step C3, a weight list of the data type and the data content is established, and the collected data is classified by using the weighted weights of the data type and the data content.
7. The power plant DCS system data processing method of claim 6, wherein: in step C3, after secondary classification, establishing an association link between the collected data belonging to the same pre-classification in step C2 in the collected data of the same class.
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