CN114118455A - Intelligent operation and maintenance system of gas turbine based on block chain - Google Patents
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Abstract
The utility model provides a gas turbine intelligence operation and maintenance system based on block chain includes: a management subsystem, a plurality of collaboration subsystems, and a blockchain subsystem, wherein the blockchain subsystem comprises: the block chain nodes are used for storing the self evaluation rules of the cooperative subsystem; the cooperation subsystem is used for acquiring the data of the own gas turbine and reporting the data of the own gas turbine to the management subsystem; the management subsystem is used for determining the block chain nodes corresponding to the cooperative subsystem, evaluating the own gas turbine data according to the own evaluation rules in the corresponding block chain nodes to obtain a first evaluation result, evaluating the own gas turbine data according to other evaluation rules to obtain a second evaluation result, and generating a target operation and maintenance result according to the first evaluation result and the second evaluation result, so that the deviation of the operation and maintenance decision of the gas turbine can be effectively reduced, and the correctness, the authenticity and the credibility of the operation and maintenance result of the gas turbine can be effectively guaranteed.
Description
Technical Field
The utility model relates to a gas turbine fortune dimension technical field especially relates to a gas turbine intelligence fortune dimension system based on block chain.
Background
The gas turbine, especially the heavy gas turbine belongs to the high-temperature high-pressure thermodynamic system, the high-temperature high-pressure flue gas that medium burning produced directly promotes the turbine and does work, the instability of combustion process easily causes mechanical vibration, the temperature pressure fluctuation range is big easily to lead to hot end part fatigue aging, medium impurity also makes equipment part easily appear scaling, erosion corrosion and wearing and tearing scheduling problem, above-mentioned condition all probably leads to gas turbine equipment performance degradation, trouble, influences generating set availability and operation safety, will cause the incident when serious, causes economic loss. Therefore, it is very important to establish a novel intelligent operation and maintenance system of the gas turbine to realize the best economic benefit on the premise of ensuring the safe and reliable operation of the unit.
In the related art, in the technical field of gas turbine operation and maintenance, a gas turbine operation and maintenance system is generally established based on a central decision-making mechanism, and the single-point failure risk exists in the mechanism, and the accuracy, authenticity and credibility of the gas turbine operation and maintenance result are affected by the limitations of the operation and maintenance decision-making mechanism.
Disclosure of Invention
The present disclosure is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the purpose of the disclosure is to provide an intelligent operation and maintenance system of a gas turbine based on a block chain, which can effectively reduce the deviation of operation and maintenance decisions of the gas turbine and effectively ensure the correctness, authenticity and credibility of the operation and maintenance decision results.
In order to achieve the above object, an embodiment of the present disclosure provides an intelligent operation and maintenance system for a block chain-based gas turbine, including: the management subsystem carries out data communication with blockchain subsystem, a plurality of cooperation subsystems respectively, and blockchain subsystem, wherein, blockchain subsystem includes: the block chain nodes are used for storing the self evaluation rules of the cooperative subsystem; the cooperation subsystem is used for acquiring the data of the own gas turbine and reporting the data of the own gas turbine to the management subsystem; the management subsystem is used for determining the block chain nodes corresponding to the collaboration subsystem, evaluating the own gas turbine data according to the own evaluation rules in the corresponding block chain nodes to obtain a first evaluation result, evaluating the own gas turbine data according to other evaluation rules to obtain a second evaluation result, and generating a target operation and maintenance result according to the first evaluation result and the second evaluation result, wherein the other evaluation rules are the own evaluation rules stored in the other block chains, and the other block chains belong to a plurality of block chains.
The gas turbine intelligence operation and maintenance system based on block chain that this disclosed embodiment provided, this gas turbine intelligence operation and maintenance system based on block chain includes: the management subsystem carries out data communication with blockchain subsystem, a plurality of cooperation subsystems respectively, and blockchain subsystem, wherein, blockchain subsystem includes: the block chain nodes are used for storing the self evaluation rules of the cooperative subsystem; the cooperation subsystem is used for acquiring the data of the own gas turbine and reporting the data of the own gas turbine to the management subsystem; the management subsystem is used for determining the block chain nodes corresponding to the cooperative subsystem, evaluating the own gas turbine data according to the own evaluation rules in the corresponding block chain nodes to obtain a first evaluation result, evaluating the own gas turbine data according to other evaluation rules to obtain a second evaluation result, and generating a target operation and maintenance result according to the first evaluation result and the second evaluation result, wherein the other evaluation rules are the own evaluation rules stored in the other block chains, and the other block chains belong to a plurality of block chains, so that the deviation of the operation and maintenance decision of the gas turbine can be effectively reduced, and the correctness, the authenticity and the credibility of the operation and maintenance decision result can be effectively guaranteed.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic structural diagram of an intelligent operation and maintenance system of a gas turbine based on a block chain according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an architecture of a blockchain-based intelligent operation and maintenance system for a gas turbine according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an intelligent operation and maintenance system of a gas turbine based on a block chain according to another embodiment of the present disclosure;
FIG. 4 is a schematic flow chart illustrating a method for determining operation and maintenance results of a gas turbine according to an embodiment of the present disclosure;
FIG. 5 is a schematic operational diagram of a system for a blockchain based gas turbine in accordance with an embodiment of the present disclosure;
fig. 6 is a schematic flow chart of an intelligent operation and maintenance decision optimization mechanism of a gas turbine based on a blockchain according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of illustrating the present disclosure and should not be construed as limiting the same. On the contrary, the embodiments of the disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Fig. 1 is a schematic structural diagram of an intelligent operation and maintenance system of a gas turbine based on a block chain according to an embodiment of the present disclosure.
Referring to fig. 1, an intelligent operation and maintenance system 10 for a block chain-based gas turbine includes: a management subsystem 101, a plurality of collaboration subsystems 102, and a blockchain subsystem 103, the management subsystem 101 being in data communication with the blockchain subsystem 103 and the plurality of collaboration subsystems 102, respectively.
Referring to fig. 2, fig. 2 is a schematic diagram of an architecture of a block chain-based intelligent operation and maintenance system of a gas turbine, which is provided according to an embodiment of the present disclosure, and as shown in fig. 2, the block chain-based intelligent operation and maintenance system 10 provided in the embodiment of the present disclosure may be a gas turbine generator set, a gas turbine power plant operation unit, a gas turbine design unit, a component manufacturer of a supporting system, or a supplier, which are connected together by using a block chain technology, that is, the collaboration subsystem 102 may include a plurality of collaboration parties with different roles, so that information intercommunication and interconnection of an industry chain in which each collaboration party is combined may be realized, and a gas turbine intelligent operation and maintenance management system in which a management subsystem, a collaboration subsystem, and a block chain subsystem are integrated is established.
Wherein, the own gas turbine data can be private data of a certain cooperator, the private data can be, for example, design data of the gas turbine (for example, compressor pressure ratio data, combustion chamber structure data, turbine stage number data, cooling air extraction mode and design temperature data, design flow data, design pressure data, etc.), operation state data (for example, rotating speed data, temperature data, pressure data, flow data, vibration data, fuel quantity data, etc.), equipment component failure or fatigue information data (for example, blade breakage or fracture information, rotor eccentricity or deformation information, valve jam information, intake filter screen blockage information, fastener loosening information, control system failure information, etc.), equipment maintenance information data (for example, adjustment information, repair information, cleaning information, refurbishment information, part replacement information, etc.), etc., this is not limiting.
Optionally, in some embodiments, the cooperative subsystem 102 is configured to receive a gas turbine operation and maintenance request transmitted by an external device, parse the gas turbine operation and maintenance request to obtain a plurality of gas turbine assembly identifiers, obtain, in real time, a plurality of types of data of the gas turbine corresponding to the plurality of gas turbine assembly identifiers, respectively, and use the plurality of types of data as owned gas turbine data.
The identifier that serves as an identifier for a plurality of gas turbine assemblies may be referred to as a gas turbine assembly identifier, and the gas turbine assembly identifier may specifically be, for example, a name, a number, and the like of the gas turbine assembly, which is not limited thereto.
The various data of the gas turbine may be real-time operation data or historical operation data generated during the operation of the gas turbine, or may be gas turbine design data, gas turbine equipment data or data of a combination thereof, and the like, which is not limited herein.
The gas turbine intelligent operation and maintenance system comprises a plurality of gas turbine units, a coordination subsystem and a plurality of gas turbine unit identifications, wherein other gas turbine units outside the gas turbine intelligent operation and maintenance system based on a block chain can be called as external equipment, the external equipment can generate corresponding gas turbine operation and maintenance requests according to actual operation and maintenance scenes of the gas turbine, the coordination subsystem can analyze the gas turbine operation and maintenance requests after receiving the gas turbine operation and maintenance requests, a plurality of gas turbine unit identifications are obtained, then, various data of the gas turbine corresponding to the plurality of gas turbine unit identifications are obtained in real time according to the plurality of gas turbine unit identifications, and the various data are used as own gas turbine data.
Optionally, in some embodiments, the cooperative subsystem 102 may further be configured to monitor whether operation and maintenance fault information generated by other cooperative subsystems is received, and when the operation and maintenance fault information is received, obtain gas turbine data described by the operation and maintenance fault information and use the gas turbine data as own gas turbine data, and trigger the management subsystem 101 to perform rechecking processing on the operation and maintenance fault information according to the own gas turbine data.
The information describing the operation and maintenance fault of the gas turbine may be referred to as operation and maintenance fault information, and the operation and maintenance fault information may specifically be, for example, operation and maintenance fault information of a certain device or a certain component of the gas turbine, which is not limited to this.
That is, the cooperative subsystem 102 may be configured to monitor whether operation and maintenance fault information generated by other cooperative subsystems is received, and when the operation and maintenance fault information generated by other cooperative subsystems is received, obtain gas turbine data described in the operation and maintenance fault information, and use the gas turbine data as own gas turbine data.
After acquiring the own gas turbine data, the cooperative subsystem 102 may report the own gas turbine data to the management subsystem 101.
After receiving the gas turbine data reported by the cooperative subsystem 102, the management subsystem 101 may perform a rechecking process on the operation and maintenance fault information according to the gas turbine data.
Optionally, in some embodiments, the cooperative subsystem 102 is further configured to receive a regular uplink request, determine an own evaluation rule according to the regular uplink request, package the own evaluation rule into blocks, obtain block description information corresponding to the own evaluation rule, determine a block chain node corresponding to the cooperative subsystem 102 according to the block description information, and uplink the blocks into the block chain node.
The rules owned by each collaborator and used for evaluating the gas turbine may be referred to as owned evaluation rules, and the owned evaluation rules may specifically be, for example, evaluation rules of a design unit based on a design angle, evaluation rules of a plant operation unit based on an operation angle, and the owned evaluation rules may be used for fault diagnosis and health evaluation of the gas turbine, which is not limited to this.
The request for uplink to the self-owned evaluation rule may be referred to as a regular uplink request.
In the embodiment of the disclosure, the owned gas turbine data and the owned evaluation rules acquired by each collaborator may form a block, and a block chain for data organization, management and sharing is formed through a distributed networking mechanism, a data encryption mechanism, a transmission and verification mechanism, a data update and consensus mechanism and an intelligent contract mechanism, so as to realize reliable interaction and sharing of data and resources among the collaborators, and also prevent the data from being tampered.
After determining the self-owned evaluation rules according to the rule uplink request and packaging the self-owned evaluation rules into blocks, the self-owned evaluation rules may be stored into a plurality of block chain nodes, which may form the block chain subsystem 103.
The block description information can be any one or combination of a plurality of the following information, such as a block characteristic value, encrypted data and a block hash value, and can be used for operation and maintenance decisions of a gas turbine power plant user, optimization of an own operation and maintenance decision system, design optimization of a design unit, production management specifications of a supplier provide required data, data tampering can be prevented, and safety of a data circulation process is guaranteed.
The block characteristic value is used to describe a characteristic condition of the block, and the characteristic condition may be, for example, a source of data in the block, which is not limited to this.
The encrypted data is obtained by encrypting the self-owned evaluation rule by adopting a preset encryption algorithm, and under the condition of data encryption, each cooperative party can encrypt and decrypt the shared data by a contract key.
The block hash value is obtained by carrying out hash operation on the block characteristics, and the data tampering can be effectively prevented by encrypting the block characteristics by adopting the hash operation.
That is, after receiving the regular uplink request, the cooperative subsystem 102 may analyze the regular uplink request to determine its own evaluation rule, package its own evaluation rule into blocks, obtain a block characteristic value, encrypted data, and a block hash value corresponding to the own evaluation rule, determine a block link node corresponding to the cooperative subsystem 102 according to the block description information, and uplink the blocks to the block link node.
Optionally, in some embodiments, the cooperative subsystem 102 is further configured to generate a block uplink request according to the block and the block description information, send the block uplink request to the management subsystem 101, trigger the management subsystem 101, audit the block uplink request according to a preset cooperative party intelligent contract, and write the block into a corresponding block link point on the line if an audit confirmation message sent by the management subsystem 101 is received.
The intelligent contract can specify the sharing range, content and use mechanism of data and core intellectual property resources owned by each collaborator, namely the intelligent contract is the sharing and authorized use mechanism of the data and the core resources commonly approved by each collaborator.
Optionally, in some embodiments, the management subsystem 101 is configured to receive the block uplink request, determine permission information of the cooperative subsystem according to the block uplink request, determine whether the permission information satisfies a permission check condition according to a preset intelligent contract of a cooperative party, generate an audit confirmation message when the permission information satisfies the permission check condition, and feed the audit confirmation message back to the cooperative subsystem 102.
The authority information may specifically be, for example, identity authority information, request content authority information, user authority information, and the like, which is not limited thereto.
The message generated by the management subsystem 101 and used for describing whether the authority information meets the authority checking condition may be referred to as an audit confirmation message.
That is to say, after obtaining the block description information corresponding to the self-owned evaluation rule, the cooperative subsystem 102 may generate a block uplink request according to the block and the block description information, and send the block uplink request to the management subsystem, after receiving the block uplink request, the management subsystem 101 may determine, by combining with a preset intelligent contract of a collaborator, whether the permission information satisfies the permission check condition, that is, whether the checking request user is a collaborator participating in the cooperation, whether the identity information of the checking request user is correct, and whether the request content of the checking request user has permission, and if the user is a collaborator participating in the cooperation, the identity information of the checking request user is correct, and the request content of the checking request user has permission, it may be determined that the permission information satisfies the permission check condition, and generate a corresponding checking confirmation message, and feed the checking confirmation message back to the cooperative subsystem.
In addition, the cooperative subsystem 102 may also write the block into the corresponding block link point on the line when receiving the audit confirmation message sent by the management subsystem 101.
Optionally, in some embodiments, the management subsystem 101 is configured to, after the cooperative subsystem 102 writes the block into the corresponding block link point on the line, determine a change condition of the uplink owned evaluation rule, determine an access condition of the uplink owned evaluation rule, and manage the uplink owned evaluation rule in the uplink block chain according to the change condition and the access condition.
The access condition of the own evaluation rule may specifically be, for example, an access frequency, and the like of the own evaluation rule, which is not limited to this.
In the embodiment of the present disclosure, the chained owned evaluation rule may change according to the operation of the gas turbine, and the management subsystem may determine the change condition of the chained owned evaluation rule, determine the access condition of the chained owned evaluation rule, and update and manage the chained owned evaluation rule in the block chain according to the change condition and the access condition, which is not limited to this.
Optionally, in some embodiments, the management subsystem is further configured to receive an authority application request sent by the collaboration subsystem, analyze identification information of other collaboration subsystems carried in the authority application request, and judge whether to grant an authority to the collaboration subsystem according to a preset intelligent contract of a collaboration party in combination with the identification information, where the authority is an authority of the collaboration subsystem to access an own evaluation rule of the other collaboration subsystems, and obtain the own evaluation rule of the other collaboration subsystems when it is determined that the authority to grant to the collaboration subsystem is granted, so that leakage of the own evaluation rule of the other collaboration subsystems can be avoided, and security of data flow of the other collaboration subsystems is effectively guaranteed.
The request sent by the collaboration subsystem for applying for the management subsystem and combined with a preset intelligent contract of a collaboration party to check the permission information of the collaboration party of the collaboration subsystem can be called a permission application request.
Wherein the authority is the authority of the collaboration subsystem to access the self-owned evaluation rules of other collaboration subsystems.
The information for identifying the collaboration subsystem may be referred to as identification information, and the identification information may specifically be, for example, a name, a number, and the like of the collaboration subsystem, which is not limited in this respect.
In the embodiment of the present disclosure, after receiving the permission application request sent by the collaboration subsystem, the management subsystem 101 may analyze the identification information of the other collaboration subsystems carried in the permission application request, and determine whether to grant permission to the collaboration subsystem to access the self-owned evaluation rules of the other collaboration subsystems according to a preset collaboration party intelligent contract, that is, the identification information, and obtain the self-owned evaluation rules of the other collaboration subsystems when determining that the permission is granted to the collaboration subsystem.
The management subsystem 101 is configured to determine a blockchain node corresponding to the collaboration subsystem 102, evaluate the owned gas turbine data according to an owned evaluation rule linked by a collaboration subsystem in the corresponding blockchain node to obtain a first evaluation result, evaluate the owned gas turbine data according to another evaluation rule to obtain a second evaluation result, and generate a target operation and maintenance result according to the first evaluation result and the second evaluation result, where the another evaluation rule is an owned evaluation rule stored in another blockchain and linked by the collaboration linked-chain subsystem, and the another blockchain belongs to multiple blockchains.
That is, the management subsystem 101 may be configured to determine a blockchain node corresponding to the collaboration subsystem 102, obtain an own evaluation rule linked by the collaboration subsystem and stored in the blockchain node, and perform evaluation processing on own gas turbine data reported by the collaboration subsystem to the management subsystem to obtain a corresponding evaluation processing result, where the evaluation processing result may be referred to as a first evaluation result, and perform evaluation processing on own gas turbine data reported by the collaboration subsystem to the management subsystem according to other evaluation rules stored in other blockchains to obtain a corresponding evaluation processing result, where the evaluation processing result may be referred to as a second evaluation result.
After the first evaluation result and the second evaluation result are obtained, the operation and maintenance result according with the current operation and maintenance scene of the gas turbine can be generated according to the first evaluation result and the second evaluation result, the operation and maintenance result can be called as a target operation and maintenance result, and then the gas turbine can be operated and maintained according to the target operation and maintenance result.
In some embodiments of the present disclosure, referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent operation and maintenance system of a block chain based gas turbine according to another embodiment of the present disclosure, where the intelligent operation and maintenance system 10 of a block chain based gas turbine includes: and the scoring board subsystem 104 is configured to maintain a plurality of identification information and a plurality of statistical analysis rules corresponding to the plurality of identification information, and the plurality of statistical analysis rules are used to assist in generating a target operation and maintenance result according to the first evaluation result and the second evaluation result, so that interference of other factors on the operation and maintenance result can be effectively avoided, and reliability of the operation and maintenance result is effectively ensured.
The rule for performing statistical analysis on the first evaluation result and the second evaluation result may be referred to as a statistical analysis rule, and the statistical analysis rule may specifically be, for example, a rule subject to majority or highest score winning in a minority, which is not limited in this respect.
For example, referring to fig. 4, fig. 4 is a schematic flow chart of determining operation and maintenance results of a gas turbine according to an embodiment of the present disclosure, as shown in fig. 4, after own gas turbine data is collected and linked to a block chain node, the management subsystem may obtain an own evaluation rule stored in the block chain node, periodically obtain other evaluation rules stored in other block chain nodes, perform evaluation processing (e.g., fault diagnosis and health evaluation) on the own gas turbine data according to the own evaluation rule to obtain a first evaluation result, and perform timing evaluation processing on the own gas turbine data according to the other evaluation rules to obtain a second evaluation result, and when an equipment fault and fatigue warning occurs, the scoring board subsystem may perform statistical analysis on the first evaluation result and the second evaluation result according to the statistical analysis rule (e.g., analysis may be performed according to rules of few subject to majority or top score wins) to obtain target operation and maintenance results.
In the embodiment of the present disclosure, referring to fig. 5, fig. 5 is a schematic diagram of an operating principle of a system of a block chain-based gas turbine provided according to an embodiment of the present disclosure, and as shown in fig. 5, the system includes a collaboration subsystem, a block chain subsystem, a score board subsystem, and a management subsystem, when receiving a gas turbine operation and maintenance request transmitted by an external device, the collaboration subsystem may parse the gas turbine operation and maintenance request to obtain a power plant-gas turbine assembly identifier, and then may acquire various data of the power plant-gas turbine assembly through data acquisition and processing or gas turbine assembly operation state monitoring, and transmit the various data as own gas turbine data to the block chain subsystem through a gateway firewall, and then perform evaluation processing (for example, fault diagnosis and health evaluation) on the own gas turbine data in combination with an own evaluation rule stored in a block chain child node, the method comprises the steps of obtaining a first evaluation result, carrying out evaluation processing (such as fault diagnosis and health evaluation) on own gas turbine data by adopting an evaluation rule of the evaluation rule to obtain a second evaluation result, and generating a target operation and maintenance result by adopting a statistical analysis rule of a scoreboard subsystem.
After the target operation and maintenance result is obtained, the target operation and maintenance result, the real-time operation data of the gas turbine, the unit state monitoring result, the fault diagnosis and health evaluation result can be recorded into a network database of the block chain, so that each cooperative party can call the data according to an intelligent contract preset by the management subsystem.
In some embodiments of the present disclosure, referring to fig. 6, fig. 6 is a schematic flowchart of an intelligent operation and maintenance decision optimization mechanism of a gas turbine based on a block chain according to an embodiment of the present disclosure, as shown in fig. 6, after completing operation and maintenance of the gas turbine according to a target operation and maintenance result, the operation and maintenance result (e.g., maintenance actions such as equipment failure, equipment calibration, replacement, repair, etc.) may be fed back to each collaborator of a collaborating subsystem, each collaborator may perform deviation calculation of the operation and maintenance result according to the target operation and maintenance result, an actual maintenance action result, and the first evaluation result determined according to its own evaluation rule, and when there is a large deviation in the first evaluation result (e.g., the deviation of the first evaluation result is greater than a deviation threshold), may perform deviation analysis of the operation and maintenance result on the first evaluation result, that is to determine whether there is a faulty equipment identification error, And errors such as fault mode identification errors of fault equipment, maintenance mode errors of fault equipment and the like are corrected and optimized according to the deviation analysis result, so that the optimization improvement of the fault diagnosis, the health management and the operation and maintenance decision mechanism of the gas turbine can be realized based on the comparison of different operation and maintenance results.
In summary, the intelligent operation and maintenance system for the gas turbine based on the block chain according to the embodiment of the present disclosure may establish a distributed intelligent operation and maintenance decision mechanism, so as to effectively reduce the risk caused by the central decision or the single point decision deviation.
It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.
It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. 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.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. An intelligent operation and maintenance system for a gas turbine based on a block chain, the system comprising: a management subsystem, a plurality of cooperating subsystems, and a blockchain subsystem, the management subsystem in data communication with the blockchain subsystem, the plurality of cooperating subsystems, respectively, wherein,
the block chain subsystem comprises: a plurality of blockchain nodes for storing self-owned evaluation rules of the collaboration subsystem;
the cooperation subsystem is used for acquiring own gas turbine data and reporting the own gas turbine data to the management subsystem;
the management subsystem is configured to determine a blockchain node corresponding to the collaboration subsystem, perform evaluation processing on the own gas turbine data according to an own evaluation rule in the corresponding blockchain node to obtain a first evaluation result, perform evaluation processing on the own gas turbine data according to other evaluation rules to obtain a second evaluation result, and generate a target operation and maintenance result according to the first evaluation result and the second evaluation result, where the other evaluation rules are own evaluation rules stored in other blockchains, and the other blockchains belong to the multiple blockchains.
2. The system of claim 1, wherein,
the cooperative subsystem is further configured to receive a regular uplink request, determine an owned evaluation rule according to the regular uplink request, package the owned evaluation rule into a block, acquire block description information corresponding to the owned evaluation rule, determine a block chain node corresponding to the cooperative subsystem according to the block description information, and uplink the block to the block chain node, where the block description information is used to describe storage and transmission information related to the owned evaluation rule.
3. The system of claim 2, wherein,
the cooperative subsystem is further configured to generate a block uplink request according to the block and the block description information, send the block uplink request to the management subsystem to trigger the management subsystem, audit the block uplink request according to a preset cooperative party intelligent contract, and write the block into the corresponding block link point on the line if an audit confirmation message sent by the management subsystem is received.
4. The system of claim 3, wherein,
the management subsystem is used for receiving the block uplink request, determining permission information of the collaboration subsystem according to the block uplink request, judging whether the permission information meets permission verification conditions according to the preset intelligent contract of the collaboration party, generating the audit confirmation message when the permission information meets the permission verification conditions, and feeding the audit confirmation message back to the collaboration subsystem.
5. The system of claim 3, wherein,
the management subsystem is further configured to determine a change condition of the self-owned evaluation rule that has been linked up, determine an access condition of the self-owned evaluation rule that has been linked up, and manage the self-owned evaluation rule that has been linked up in a block chain on line according to the change condition and the access condition, after the cooperative subsystem writes the corresponding block link point on the line into the block chain.
6. The system of claim 1, wherein,
the management subsystem is further configured to receive an authority application request sent by the collaboration subsystem, analyze identification information of other collaboration subsystems carried in the authority application request, judge whether to grant authority to the collaboration subsystem according to a preset intelligent contract of a collaboration party in combination with the identification information, where the authority is authority of the collaboration subsystem to access the self-owned evaluation rules of the other collaboration subsystems, and acquire the self-owned evaluation rules of the other collaboration subsystems when the authority to access the collaboration subsystems is confirmed.
7. The system of claim 1, wherein the system further comprises: a scoring board subsystem, wherein,
the scoring board subsystem is used for maintaining a plurality of identification information and a plurality of statistical analysis rules respectively corresponding to the identification information, and the statistical analysis rules are used for assisting in generating a target operation and maintenance result according to the first evaluation result and the second evaluation result.
8. The system of claim 1, wherein,
and the cooperation subsystem is used for receiving a gas turbine operation and maintenance request transmitted by external equipment, analyzing the gas turbine operation and maintenance request to obtain a plurality of gas turbine assembly identifications, acquiring various data of the gas turbine corresponding to the plurality of gas turbine assembly identifications respectively in real time, and taking the various data as the own gas turbine data.
9. The system of claim 1, wherein,
the cooperative subsystem is used for monitoring whether operation and maintenance fault information generated by other cooperative subsystems is received or not, acquiring gas turbine data described by the operation and maintenance fault information and using the gas turbine data as the own gas turbine data when the operation and maintenance fault information is received, and triggering the management subsystem to recheck the operation and maintenance fault information according to the own gas turbine data.
10. The system of claim 2, wherein the tile description information comprises any one or a combination of:
block characteristic values, encrypted data and block hash values;
the block characteristic value is used for describing the characteristic condition of a block, the encrypted data is obtained by encrypting the self-evaluation rule by adopting a preset encryption algorithm, and the block hash value is obtained by carrying out hash operation on the block characteristic.
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