Gas turbine intelligent operation and maintenance system based on blockchain

Abstract

The present disclosure proposes a gas turbine intelligent operation and maintenance system based on blockchain, including: a management subsystem, multiple collaboration subsystems, and a blockchain subsystem, wherein the blockchain subsystem includes: multiple blockchain nodes, used to store the collaboration subsystem's own evaluation rules; the collaboration subsystem, used to obtain the own gas turbine data, and report the own gas turbine data to the management subsystem; the management subsystem, used to determine the blockchain node corresponding to the collaboration subsystem, evaluate and process the own gas turbine data according to the own evaluation rules in the corresponding blockchain node to obtain a first evaluation result, and evaluate and process 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, which can effectively reduce the deviation of gas turbine operation and maintenance decisions and effectively ensure the correctness, authenticity and credibility of gas turbine operation and maintenance results.

Description

Technical Field

[0001] The present disclosure relates to the field of gas turbine operation and maintenance technology, and in particular to a gas turbine intelligent operation and maintenance system based on blockchain. Background Art

[0002] Gas turbines, especially heavy-duty gas turbines, are high-temperature and high-pressure thermal systems. The high-temperature and high-pressure flue gas generated by the combustion of the medium directly drives the turbine to work. The instability of the combustion process can easily cause mechanical vibrations. The large fluctuations in temperature and pressure can easily lead to fatigue and aging of the hot end components. Impurities in the medium also make the equipment components prone to fouling, erosion, corrosion, and wear. All of the above situations may lead to performance degradation and failure of gas turbine equipment, affecting the availability and operation safety of the generator set. In severe cases, it will cause safety accidents and cause economic losses. Therefore, it is extremely important to establish a new gas turbine intelligent operation and maintenance system to achieve the best economic benefits while ensuring the safe and reliable operation of the unit.

[0003] In the related technologies, in the field of gas turbine operation and maintenance technology, a gas turbine operation and maintenance system is usually established based on a central decision-making mechanism. Under this mechanism, there is a risk of single point failure, and the limitations of the operation and maintenance decision-making mechanism itself will affect the correctness, authenticity and credibility of the gas turbine operation and maintenance results. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the purpose of the present invention is to propose a gas turbine intelligent operation and maintenance system based on blockchain, which can effectively reduce the deviation of gas turbine operation and maintenance decision-making and effectively ensure the correctness, authenticity and credibility of operation and maintenance decision results.

[0006] To achieve the above-mentioned purpose, the blockchain-based gas turbine intelligent operation and maintenance system proposed in the embodiment of the present disclosure includes: a management subsystem, multiple collaborative subsystems, and a blockchain subsystem, the management subsystem communicates data with the blockchain subsystem and the multiple collaborative subsystems respectively, wherein the blockchain subsystem includes: multiple blockchain nodes, the blockchain nodes are used to store the collaborative subsystem's own evaluation rules; the collaborative subsystem is used to obtain the own gas turbine data and report the own gas turbine data to the management subsystem; the management subsystem is used to determine the blockchain node corresponding to the collaborative subsystem, evaluate and process the own gas turbine data according to the own evaluation rules in the corresponding blockchain node to obtain a first evaluation result, and evaluate and process the own gas turbine data according to other evaluation rules to obtain a second evaluation result, and generate a target operation and maintenance result based on the first evaluation result and the second evaluation result, wherein the other evaluation rules are the own evaluation rules stored in other blockchains, and the other blockchains belong to multiple blockchains.

[0007] The gas turbine intelligent operation and maintenance system based on blockchain proposed in the embodiment of the present disclosure includes: a management subsystem, multiple collaboration subsystems, and a blockchain subsystem, wherein the management subsystem performs data communication with the blockchain subsystem and the multiple collaboration subsystems respectively, wherein the blockchain subsystem includes: multiple blockchain nodes, wherein the blockchain nodes are used to store the own evaluation rules of the collaboration subsystem; the collaboration subsystem is used to obtain the own gas turbine data and report the own gas turbine data to the management subsystem; the management subsystem is used to determine the blockchain node corresponding to the collaboration subsystem, evaluate and process the own gas turbine data according to the own evaluation rules in the corresponding blockchain node to obtain a first evaluation result, evaluate and process 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, wherein the other evaluation rules are the own evaluation rules stored in other blockchains, and the other blockchains belong to multiple blockchains, which can effectively reduce the deviation of gas turbine operation and maintenance decisions and effectively ensure the correctness, authenticity and credibility of the operation and maintenance decision results.

[0008] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The above and / or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0010] Figure 1 It is a structural diagram of a gas turbine intelligent operation and maintenance system based on blockchain proposed in one embodiment of the present disclosure;

[0011] Figure 2 It is a schematic diagram of the architecture of a gas turbine intelligent operation and maintenance system based on blockchain proposed according to an embodiment of the present disclosure;

[0012] Figure 3 is a structural diagram of a gas turbine intelligent operation and maintenance system based on blockchain proposed in another embodiment of the present disclosure;

[0013] Figure 4 is a schematic diagram of a process for determining an operation and maintenance result of a gas turbine according to an embodiment of the present disclosure;

[0014] Figure 5 It is a schematic diagram of the working principle of a gas turbine system based on blockchain proposed according to an embodiment of the present disclosure;

[0015] Figure 6It is a flow chart of a gas turbine intelligent operation and maintenance decision optimization mechanism based on blockchain proposed according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0016] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present disclosure, and are not to be construed as limitations of the present disclosure. On the contrary, the embodiments of the present disclosure include all changes, modifications, and equivalents that fall within the spirit and connotation of the appended claims.

[0017] Figure 1 It is a structural diagram of a gas turbine intelligent operation and maintenance system based on blockchain proposed in one embodiment of the present disclosure.

[0018] See also Figure 1 The gas turbine intelligent operation and maintenance system 10 based on blockchain includes: a management subsystem 101, multiple collaborative subsystems 102, and a blockchain subsystem 103. The management subsystem 101 communicates data with the blockchain subsystem 103 and the multiple collaborative subsystems 102 respectively.

[0019] Among them, see Figure 2 , Figure 2 is a schematic diagram of the architecture of a gas turbine intelligent operation and maintenance system based on blockchain proposed according to an embodiment of the present disclosure, such as Figure 2 As shown, the blockchain-based gas turbine intelligent operation and maintenance system 10 proposed in the embodiment of the present disclosure can be a gas turbine generator set, a gas turbine power plant operating unit, a gas turbine design unit and a supporting system equipment component manufacturer or supplier and other related collaborators connected together by means of blockchain technology, that is, the collaboration subsystem 102 can include multiple collaborators with different roles, thereby realizing the information interconnection of the industrial chain of the collaborative parties, and establishing a gas turbine intelligent operation and maintenance management system integrating a management subsystem, a collaboration subsystem and a blockchain subsystem.

[0020] Among them, the owned gas turbine data may be the private data of a certain collaborating party, and the private data may be, for example, the design data of the gas turbine (for example: compressor pressure ratio data, combustion chamber structure data, turbine stage data, cooling and exhaust method and design temperature data, design flow data, design pressure data, etc.), operating status data (for example: speed data, temperature data, pressure data, flow data, vibration data, fuel quantity data, etc.), equipment component failure or fatigue information data (for example: blade damage or breakage information, rotor eccentricity or deformation information, valve jamming information, intake filter blockage information, fastener loosening information, control system failure information, etc.), equipment maintenance information data (for example: adjustment information, repair information, cleaning information, renovation information, replacement parts information, etc.), etc., without restriction.

[0021] Optionally, in some embodiments, the collaborative subsystem 102 is used to receive a gas turbine operation and maintenance request transmitted by an external device, parse the gas turbine operation and maintenance request to obtain multiple gas turbine component identifiers, acquire in real time multiple data of the gas turbine corresponding to the multiple gas turbine component identifiers, and use the multiple data as the own gas turbine data. Since the multiple data of the gas turbine are determined according to the gas turbine operation and maintenance request, the own gas turbine data can be more adapted to the gas turbine operation and maintenance request.

[0022] Among them, the identification functioning as an identification for multiple gas turbine components may be referred to as a gas turbine component identification. The gas turbine component identification may specifically be, for example, the name and number of the gas turbine component, and there is no limitation to this.

[0023] Among them, 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 a combination of data thereof, etc., without limitation.

[0024] Among them, other gas turbine units outside the blockchain-based gas turbine intelligent operation and maintenance system can be called external devices. The external devices can generate corresponding gas turbine operation and maintenance requests according to the actual operation and maintenance scenarios of the gas turbine. After receiving the gas turbine operation and maintenance request, the collaborative subsystem can parse the gas turbine operation and maintenance request to obtain multiple gas turbine component identifiers, and then, according to the multiple gas turbine component identifiers, it can obtain multiple data of the gas turbines corresponding to the multiple gas turbine component identifiers in real time, and use the multiple data as its own gas turbine data.

[0025] Optionally, in some embodiments, the collaborative subsystem 102 can also be used to monitor whether operation and maintenance fault information generated by other collaborative subsystems is received, and when the operation and maintenance fault information is received, obtain the gas turbine data described in the operation and maintenance fault information and use it as its own gas turbine data, and trigger the management subsystem 101 to review and process the operation and maintenance fault information based on its own gas turbine data.

[0026] The information used to describe the operation and maintenance fault of the gas turbine may be referred to as the operation and maintenance fault information. The operation and maintenance fault information may specifically be, for example, the operation and maintenance fault information of a certain device or a certain component of the gas turbine, without limitation.

[0027] That is to say, the collaborative subsystem 102 can be used to monitor whether it has received operation and maintenance fault information generated by other collaborative subsystems, and when receiving operation and maintenance fault information generated by other collaborative subsystems, obtain the gas turbine data described by the operation and maintenance fault information, and use the gas turbine data as its own gas turbine data.

[0028] The collaboration subsystem 102 , after acquiring its own gas turbine data, may report its own gas turbine data to the management subsystem 101 .

[0029] After receiving the gas turbine data reported by the collaboration subsystem 102, the management subsystem 101 can review and process the operation and maintenance fault information based on its own gas turbine data.

[0030] Optionally, in some embodiments, the collaborative subsystem 102 is also used to receive a rule chain request, and determine its own evaluation rules based on the rule chain request, package its own evaluation rules into blocks, and obtain block description information corresponding to its own evaluation rules, and determine the blockchain node corresponding to the collaborative subsystem 102 based on the block description information, and chain the block to the blockchain node.

[0031] Among them, the rules owned by each collaborating party for evaluating the gas turbine can be called proprietary evaluation rules. The proprietary evaluation rules can be specifically, for example, the evaluation rules of the design unit based on the design perspective, and the evaluation rules of the power plant operating unit based on the operation perspective. The proprietary evaluation rules can be used for fault diagnosis and health assessment of gas turbines, without any restriction.

[0032] Among them, the request for uploading one's own evaluation rules to the chain can be called a rule uploading request.

[0033] In the disclosed embodiment, the gas turbine data and evaluation rules acquired by each collaborating party can constitute a block, and form a blockchain for data organization, management and sharing through a distributed networking mechanism, data encryption, transmission and verification mechanism, data update and consensus mechanism, and smart contract mechanism, so as to realize reliable interaction and sharing of data and resources among the collaborating parties, and prevent data from being tampered with.

[0034] After determining the own evaluation rules according to the rule chain request and packaging the own evaluation rules into blocks, the own evaluation rules can be stored in multiple blockchain nodes, and multiple blockchain nodes can constitute the blockchain subsystem 103.

[0035] Among them, the block description information is used to describe the storage and transmission information related to the own evaluation rules. The block description information may include any one or more of the following combinations: block feature values, encrypted data, and block hash values. The block description information can provide the required data for the operation and maintenance decisions of gas turbine power plant users, the optimization of their own operation and maintenance decision-making systems, the design optimization of design units, and the production management specifications of suppliers. It can also prevent data from being tampered with and ensure the security of the data flow process.

[0036] The block characteristic value is used to describe the characteristic conditions of the block, and the characteristic conditions may be, for example, the source of the data in the block, which is not limited.

[0037] Encrypted data is obtained by encrypting the own evaluation rules using a preset encryption algorithm. In the case of data encryption, each collaborating party can encrypt and decrypt shared data using the contract key.

[0038] The block hash value is obtained by performing a hash operation on the block characteristics. By using a hash operation to encrypt the block characteristics, data tampering can be effectively prevented.

[0039] That is to say, after receiving the rule chain request, the collaborative subsystem 102 can parse the rule chain request to determine its own evaluation rules, package its own evaluation rules into blocks, and obtain the block feature values, encrypted data and block hash values ​​corresponding to its own evaluation rules, and then determine the blockchain node corresponding to the collaborative subsystem 102 according to the block description information, and chain the block to the blockchain node.

[0040] Optionally, in some embodiments, the collaboration subsystem 102 is also used to generate a block chain request based on the block and block description information, and send the block chain request to the management subsystem 101 to trigger the management subsystem 101 to review the block chain request in combination with a pre-set collaboration party smart contract, and if the review confirmation message sent by the management subsystem 101 is received, the block is written into the corresponding blockchain node online.

[0041] Among them, smart contracts can stipulate the sharing scope, content and usage mechanism of each collaborating party’s own data and core intellectual property resources. That is, smart contracts are data and core resource sharing and authorized use mechanisms jointly recognized by all collaborating parties.

[0042] Optionally, in some embodiments, the management subsystem 101 is used to receive a block chain request, determine the permission information of the collaboration subsystem based on the block chain request, and determine whether the permission information meets the permission verification conditions based on the preset collaboration party smart contract. When the permission information meets the permission verification conditions, an audit confirmation message is generated, and the audit confirmation message is fed back to the collaboration subsystem 102.

[0043] The permission information may specifically include identity permission information, requested content permission information, user permission information, etc., without limitation.

[0044] Among them, the message generated by the management subsystem 101 and used to describe whether the permission information meets the permission verification condition can be called an audit confirmation message.

[0045] That is to say, after obtaining the block description information corresponding to its own evaluation rules, the collaboration subsystem 102 can generate a block chain request based on the block and the block description information, and send the block chain request to the management subsystem. After receiving the block chain request, the management subsystem 101 can determine whether the permission information meets the permission verification conditions in combination with the preset collaboration party smart contract, that is, check whether the requesting user is a collaboration party participating in the collaboration, whether its identity information is correct, and whether the content of its request is authorized. If the user is a collaboration party participating in the collaboration, its identity information is correct, and the content of its request is authorized, it can be determined that the permission information meets the permission verification conditions, and a corresponding review confirmation message is generated, and the review confirmation message is fed back to the collaboration subsystem.

[0046] In addition, upon receiving the audit confirmation message sent by the management subsystem 101, the collaboration subsystem 102 can also write the block into the corresponding blockchain node online.

[0047] Optionally, in some embodiments, the management subsystem 101 is used to determine changes in the own evaluation rules that have been uploaded to the chain, and determine access status of the own evaluation rules that have been uploaded to the chain after the collaboration subsystem 102 writes the block to the corresponding blockchain node online, and manage the own evaluation rules that have been uploaded to the online blockchain based on the changes and access status.

[0048] The access situation of the own evaluation rules may specifically include, for example, the access frequency and the number of accesses of the own evaluation rules, and there is no limitation on this.

[0049] In the disclosed embodiment, the owned evaluation rules that have been uploaded to the chain will change according to the operation of the gas turbine. The management subsystem can determine the changes in the owned evaluation rules and the access status of the owned evaluation rules that have been uploaded to the chain. According to the changes and access status, the owned evaluation rules that have been uploaded to the chain in the online blockchain are updated and managed without any restrictions.

[0050] Optionally, in some embodiments, the management subsystem is also used to receive permission application requests sent by the collaborative subsystem, and to parse the identification information of other collaborative subsystems carried in the permission application requests, and to determine whether to grant permission to the collaborative subsystem based on the pre-set collaborative party smart contract combined with the identification information. The permission is the permission for the collaborative subsystem to access the own evaluation rules of other collaborative subsystems, and when confirming the granting of access rights to the collaborative subsystem, the own evaluation rules of other collaborative subsystems are obtained, thereby avoiding the leakage of the own evaluation rules of other collaborative subsystems and effectively ensuring the security of data flow of other collaborative subsystems.

[0051] Among them, the request sent by the collaboration subsystem for applying to the management subsystem to review the permission information of the collaborators of the collaboration subsystem in combination with the pre-set collaboration party smart contract can be called a permission application request.

[0052] Among them, permission refers to the permission of a collaborative subsystem to access the evaluation rules of other collaborative subsystems.

[0053] The information used to identify the collaboration subsystem may be referred to as identification information. The identification information may specifically be, for example, the name and number of the collaboration subsystem, and there is no limitation to this.

[0054] In the disclosed embodiment, the management subsystem 101, after receiving the permission application request sent by the collaborative subsystem, can parse the identification information of other collaborative subsystems carried in the permission application request, and combine the pre-set collaborative party smart contract, i.e., the identification information, to determine whether to grant the collaborative subsystem the permission to access the other collaborative subsystems' own evaluation rules, and when confirming that the collaborative subsystem is granted access rights, obtain the other collaborative subsystems' own evaluation rules.

[0055] Among them, the management subsystem 101 is used to determine the blockchain node corresponding to the collaboration subsystem 102, evaluate and process the owned gas turbine data according to the own evaluation rules uploaded by the collaboration subsystem in the corresponding blockchain node to obtain a first evaluation result, and evaluate and process the owned gas turbine data according to other evaluation rules to obtain a second evaluation result, and generate a target operation and maintenance result based on the first evaluation result and the second evaluation result, wherein the other evaluation rules are the own evaluation rules uploaded by the collaboration subsystem and stored in other blockchains, and the other blockchains belong to multiple blockchains.

[0056] That is to say, the management subsystem 101 can be used to determine the blockchain node corresponding to the collaboration subsystem 102, and obtain the proprietary evaluation rules stored in the blockchain node and uploaded by the collaboration subsystem, and evaluate and process the proprietary gas turbine data reported by the collaboration subsystem to the management subsystem to obtain a corresponding evaluation result, which can be referred to as a first evaluation result, and evaluate and process the proprietary 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 result, which can be referred to as a second evaluation result.

[0057] After obtaining the first evaluation result and the second evaluation result, an operation and maintenance result that meets the current operation and maintenance scenario of the gas turbine can be generated based on the first evaluation result and the second evaluation result. The operation and maintenance result can be called the target operation and maintenance result, and then the gas turbine can be operated and maintained according to the target operation and maintenance result.

[0058] In some embodiments of the present disclosure, see Figure 3 , Figure 3 It is a structural diagram of a gas turbine intelligent operation and maintenance system based on blockchain proposed in another embodiment of the present disclosure. The gas turbine intelligent operation and maintenance system 10 based on blockchain includes: a scoreboard subsystem 104, wherein the scoreboard subsystem 104 is used to maintain multiple identification information and multiple statistical analysis rules corresponding to the multiple identification information, respectively. The multiple 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, thereby effectively avoiding interference of other factors on the operation and maintenance result and effectively ensuring the reliability of the operation and maintenance result.

[0059] The rule for statistically analyzing the first evaluation result and the second evaluation result may be referred to as a statistical analysis rule. The statistical analysis rule may specifically be, for example, a rule where the minority obeys the majority or the highest score wins, and there is no limitation to this.

[0060] For example, see Figure 4 , Figure 4 is a flow chart of determining the operation and maintenance results of a gas turbine according to an embodiment of the present disclosure, such as Figure 4As shown, after the owned gas turbine data is collected and uploaded to the blockchain node, the management subsystem can obtain the owned evaluation rules stored in the blockchain node, and periodically obtain other evaluation rules stored in other blockchain nodes, and evaluate and process the owned gas turbine data according to the owned evaluation rules (for example, fault diagnosis and health assessment) to obtain a first evaluation result, and periodically evaluate and process the owned gas turbine data according to other evaluation rules to obtain a second evaluation result. When equipment failure and fatigue warning occur, the scoreboard subsystem can perform statistical analysis on the first evaluation result and the second evaluation result according to the statistical analysis rules (for example, it can be analyzed according to the rule of minority obeys majority or the highest score wins) to obtain the target operation and maintenance result.

[0061] In the embodiments of the present disclosure, see Figure 5 , Figure 5 is a schematic diagram of the working principle of a gas turbine system based on blockchain proposed according to an embodiment of the present disclosure, such as Figure 5 As shown, it includes a collaboration subsystem, a blockchain subsystem, a scoreboard subsystem, and a management subsystem. When the collaboration subsystem receives a gas turbine operation and maintenance request transmitted by an external device, it can parse the gas turbine operation and maintenance request to obtain a power plant-gas turbine component identifier, and then obtain a variety of power plant-gas turbine data through data acquisition and processing or gas turbine unit operation status monitoring, and upload the multiple data as its own gas turbine data to the blockchain subsystem through the gateway firewall, and then combine the own evaluation rules stored in the blockchain subnode to evaluate and process the own gas turbine data (for example: fault diagnosis and health assessment) to obtain a first evaluation result, and use other evaluation rules to evaluate and process the own gas turbine data (for example: fault diagnosis and health assessment) to obtain a second evaluation result, and use the statistical analysis rules of the scoreboard subsystem to generate the target operation and maintenance result.

[0062] After obtaining the target operation and maintenance results, the target operation and maintenance results, real-time operation data of the gas turbine, unit status monitoring results, fault diagnosis and health assessment results can be recorded in the blockchain network database, so that each collaborating party can call the data according to the smart contract preset by the management subsystem.

[0063] In some embodiments of the present disclosure, see Figure 6 , Figure 6 is a flow chart of a gas turbine intelligent operation and maintenance decision optimization mechanism based on blockchain proposed according to an embodiment of the present disclosure, such as Figure 6As shown, after the operation and maintenance of the gas turbine is completed according to the target operation and maintenance result, the operation and maintenance result (for example, equipment failure condition, equipment adjustment, replacement, repair and other maintenance actions) can be fed back to each collaborator of the collaborative subsystem, and each collaborator can calculate the deviation of the operation and maintenance result through the target operation and maintenance result, the actual maintenance action result and the first evaluation result determined according to the above-mentioned own evaluation rules. When there is a large deviation in the first evaluation result (for example, the deviation of the first evaluation result is greater than the deviation threshold), the deviation analysis of the operation and maintenance result can be performed on the first evaluation result, that is, to determine whether there are errors such as faulty equipment identification errors, faulty equipment failure mode identification errors, and faulty equipment maintenance method errors, and according to the deviation analysis results, the equipment diagnosis and health assessment methods and maintenance decisions are corrected and optimized, thereby optimizing and improving the gas turbine fault diagnosis and health management and operation and maintenance decision-making mechanism based on the comparison of different operation and maintenance results.

[0064] To sum up, the gas turbine intelligent operation and maintenance system based on blockchain proposed in the embodiment of the present disclosure can establish a distributed intelligent operation and maintenance decision-making mechanism, thereby effectively reducing the risks caused by central decision-making or single-point decision-making deviations. In addition, the gas turbine intelligent operation and maintenance system based on blockchain proposed in the embodiment of the present disclosure can ensure the transparency of information and its decision-making processing, and ensure the traceability of gas turbine maintenance decisions and decision-making implementation processes.

[0065] It should be noted that, in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "plurality" is two or more.

[0066] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present disclosure includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0067] It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0068] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0069] In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0070] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0071] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0072] Although the embodiments of the present disclosure have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A gas turbine intelligent operation and maintenance system based on blockchain, It is characterized in that The system includes: a management subsystem, multiple collaboration subsystems, and a blockchain subsystem, wherein the management subsystem communicates data with the blockchain subsystem and the multiple collaboration subsystems respectively, wherein: The blockchain subsystem includes: a plurality of blockchain nodes, the blockchain nodes are used to store the own evaluation rules of the collaboration subsystem, the own evaluation rules are rules for evaluating the gas turbine; The collaboration subsystem is used to obtain the owned gas turbine data and report the owned gas turbine data to the management subsystem; The management subsystem is used to determine the blockchain node corresponding to the collaboration subsystem, evaluate and process the owned gas turbine data according to the own evaluation rules in the corresponding blockchain node to obtain a first evaluation result, and evaluate and process the owned gas turbine data according to other evaluation rules to obtain a second evaluation result, and generate a target operation and maintenance result based on the first evaluation result and the second evaluation result, wherein the other evaluation rules are the own evaluation rules stored in other blockchains, and the other blockchains belong to the multiple blockchains.

2. The system according to claim 1, It is characterized in that in, The collaborative subsystem is also used to receive a rule chain request, and determine its own evaluation rules based on the rule chain request, package the own evaluation rules into blocks, and obtain block description information corresponding to the own evaluation rules, and determine the blockchain node corresponding to the collaborative subsystem based on the block description information, and chain the block to the blockchain node, wherein the block description information is used to describe the storage and transmission information related to the own evaluation rules.

3. The system according to claim 2, It is characterized in that in, The collaboration subsystem is also used to generate a block chain request based on the block and the block description information, and send the block chain request to the management subsystem to trigger the management subsystem to review the block chain request in combination with the preset collaboration party smart contract, and if the review confirmation message sent by the management subsystem is received, the block is written into the corresponding blockchain node online.

4. The system according to claim 3, It is characterized in that in, The management subsystem is used to receive the block chain request, determine the permission information of the collaboration subsystem according to the block chain request, judge whether the permission information meets the permission verification condition according to the preset collaboration party smart contract, and generate the audit confirmation message when the permission information meets the permission verification condition, and feed back the audit confirmation message to the collaboration subsystem.

5. The system according to claim 3, It is characterized in that in, The management subsystem is further configured to, after the collaboration subsystem writes the block into the corresponding blockchain node online, determine the change situation of the self-owned evaluation rules that have been uploaded to the chain, determine the access situation of the self-owned evaluation rules that have been uploaded to the chain, and manage the self-owned evaluation rules that have been uploaded to the chain in the online blockchain according to the change situation and the access situation.

6. The system according to claim 1, wherein, wherein, the management subsystem is further configured to receive a permission application request sent by the collaboration subsystem, parse the identification information of other collaboration subsystems carried in the permission application request, and determine whether to grant permission to the collaboration subsystem according to a preset collaboration party smart contract in combination with the identification information. The permission is the permission for the collaboration subsystem to access the self-owned evaluation rules of other collaboration subsystems, and when it is confirmed to grant the access permission to the collaboration subsystem, obtain the self-owned evaluation rules of other collaboration subsystems.

7. The system according to claim 1, wherein, the system further includes: a scoring board subsystem, wherein, the scoring board subsystem is configured to maintain a plurality of identification information and a plurality of statistical analysis rules respectively 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.

8. The system according to claim 1, wherein, wherein, the collaboration subsystem is configured to receive a gas turbine operation and maintenance request transmitted by an external device, parse a plurality of gas turbine component identifications from the gas turbine operation and maintenance request, obtain various data of the gas turbine respectively corresponding to the plurality of gas turbine component identifications in real time, and use the various data as the self-owned gas turbine data.

9. The system according to claim 1, wherein, wherein, the collaboration subsystem is configured to monitor whether it receives operation and maintenance fault information generated by other collaboration subsystems, and when it receives the operation and maintenance fault information, obtain the gas turbine data described in the operation and maintenance fault information and use it as the self-owned gas turbine data, and trigger the management subsystem to perform a review process on the operation and maintenance fault information according to the self-owned gas turbine data.

10. The system according to claim 2, wherein, the block description information includes any one or a combination of the following: block feature value, encrypted data, block hash value; wherein, the block feature value is used to describe the feature situation of the block, the encrypted data is obtained by encrypting the self-owned evaluation rules using a preset encryption algorithm, and the block hash value is obtained by performing a hash operation on the block feature.

Images