CN112202924A - High-power wind turbine generator system bolt intellectual detection system that excels in based on thing networking - Google Patents
High-power wind turbine generator system bolt intellectual detection system that excels in based on thing networking Download PDFInfo
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- H—ELECTRICITY
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- G—PHYSICS
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- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/24—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for determining value of torque or twisting moment for tightening a nut or other member which is similarly stressed
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Abstract
The invention discloses an intelligent detection system for high-strength bolts of a high-power wind turbine generator based on the Internet of things, which comprises an energy source power device, an intelligent data acquisition central processing system, an intelligent code identification and acquisition system, a bolt identification and coding system and an intelligent cloud big data platform analysis, diagnosis and early warning system, wherein the energy source power device can automatically calculate bolt torque requirements of different specifications and provide power sources of different specifications; the intelligent data acquisition central processing system is provided with the intelligent detection sensor, and can automatically transmit information such as the pressure value, the measuring range calibration and the like of the bolt to the intelligent data acquisition central processing system. The system platform can discover early safety risks and hidden dangers of the machine set cabin, large components and an electric system in advance, early warn, early discover and early eliminate the hidden dangers by monitoring the high-strength bolt, analyzing and early warning big data, avoids serious injury and wind field major economic loss caused by overspeed, vibration, bolt fracture and the like, and has immeasurable economic benefit.
Description
Technical Field
The invention relates to the technical field of new energy wind power generation, in particular to an intelligent detection system for a high-strength bolt of a high-power wind turbine generator based on the Internet of things.
Background
The maintenance and monitoring of the high-strength bolt of the wind turbine are the key points for reliable operation of large components and the wind turbine, regular maintenance of the wind turbine is not in place, the fault rate of the wind turbine can be increased, the availability of the wind turbine is reduced, and the cost of a wind power plant in the whole life cycle of the wind turbine is increased. The current wind turbine generator set scheduled inspection is divided into semi-annual inspection and full-annual inspection, and due to economic factors and personnel factors, the scheduled inspection maintenance of the wind turbine generator set is far from expected in the scheduled inspection process, so that risks are left for reliable operation of the wind turbine generator set.
Aiming at the phenomena of material stealing and material reduction and excessive maintenance in the maintenance process of the high-strength bolt of the wind power plant, a high-power wind turbine generator high-strength bolt maintenance monitoring system based on intelligent equipment is developed. The system mainly adopts a data acquisition technology, an Internet of things technology and a big data analysis technology, realizes real-time recording and transmission of maintenance of the high-strength bolt of the wind turbine generator set through technical means, automatically generates a maintenance monitoring report, and realizes observability, manageability and controllability in the maintenance process of the high-strength bolt.
The bolt operation and monitoring of the generator set are the keys of safe and reliable operation of the wind turbine set, the maintenance and monitoring of the generator set are not in place, the fault rate of the generator set can be increased, the availability of the generator set is reduced, and the cost of the wind power plant in the whole life cycle of the generator set is increased. At present, the high-strength bolt of the wind turbine generator is far from expected maintenance due to economic factors and personnel factors in the maintenance process, and hidden dangers and risks are left for the reliable operation of large components of the wind turbine generator. Therefore, an intelligent detection system for the high-strength bolt of the high-power wind turbine generator based on the Internet of things is provided.
Disclosure of Invention
The invention aims to provide an intelligent detection system for high-strength bolts of a high-power wind turbine generator based on the Internet of things, and aims to solve the problems that the maintenance of the high-strength bolts of the high-power wind turbine generator is far from expected due to economic factors and personnel factors in the maintenance process of the high-strength bolts of the high-power wind turbine generator, and hidden dangers and risks are left for the reliable operation of large components of the high-power wind turbine generator.
In order to achieve the purpose, the invention provides the following technical scheme:
the high-power wind turbine generator high-strength bolt intelligent detection system based on the Internet of things comprises an energy source power device, an intelligent data acquisition central processing system, an intelligent code identification and acquisition system, a bolt identification coding system and a smart cloud big data platform analysis diagnosis early warning system, wherein the energy source power device can automatically calculate bolt torque requirements of different specifications and provide power sources of different specifications; the intelligent data acquisition central processing system is provided with the intelligent detection sensor, and can automatically transmit information such as the pressure value, the measuring range calibration and the like of the bolt to the intelligent data acquisition central processing system.
Preferably, the intelligent data acquisition central processing system encodes the wind power plant and the wind turbine generator step by step through levels, and intelligently partitions the whole wind turbine generator according to functions; receiving high-strength bolt data information acquired by an energy source power device, and receiving high-strength bolt coding information clusters acquired by an intelligent coding identification and acquisition system;
the intelligent data acquisition central processing system is characterized in that an algorithm for accurately positioning the high-strength bolts forms a unique identification code of the high-strength bolt through a combined algorithm of a wind power plant, a machine type, a component, a high-strength bolt coding information cluster and a high-strength bolt data cluster, the information of each high-strength bolt is accurately positioned and is transmitted to an intelligent cloud big data platform analysis diagnosis early warning system in real time through a wireless network, and the holographic data of the bolts are also stored in a local redundancy mode;
the intelligent data acquisition central processing system is characterized in that in the acquisition process of the high-strength bolt, after the operation environment and the like are interrupted, the high-strength bolt can be seamlessly connected and accurately positioned to the original operation unit, the specific parts of the operation and the specific bolts of the operation again after the operation is started again;
the intelligent data acquisition central processing system is characterized in that discontinuous operation can be realized in the high-strength bolt acquisition process, for example, operation interruption of the same unit can be realized, if the unit which is operated does not have operation conditions after operation recovery, high-strength bolt operation of other units can be firstly carried out, operation can be continued after the unit which is not operated has the conditions, and the intelligent data acquisition central processing system can still accurately position the specific high-strength bolt to be subjected to torque striking of the unit which is not operated.
Preferably, the intelligent code recognition and acquisition system acquires process data values of the high-strength bolt in real time to form a primary moment fastening process spectral line, acquires information such as a moment identification code, a measuring range, a moment line spectrum, an operation bolt dynamic data set and the like, performs holographic monitoring on bolt moment operation, and transmits the acquired data to the intelligent data acquisition central processing system in real time;
the intelligent code recognition and acquisition system is characterized in that a recognition algorithm of bolt identification can avoid the problem of recognizing a plurality of codes at one time in the data acquisition process, and only the required bolt characteristic code is recognized at one time;
the intelligent code recognition and acquisition system is characterized in that the physical coordinates of the high-strength bolt can be positioned, the process track of the operated bolt is acquired, and the process of fastening the high-strength bolt is holographically and accurately monitored.
Preferably, the bolt identification coding system adopts a passive intelligent chip, an accurate identification and a positioning bolt, and the arrangement frequency of the intelligent chip is adjusted in real time according to an intelligent algorithm, so that accurate positioning of bolts of different units and different specifications can be met; the coding of the intelligent chip adopts an arithmetic progression coding rule with variable tolerance, and is organically combined with a software algorithm of an intelligent data acquisition system to perform redundant positioning on the high-strength bolt; the intelligent chip is provided with identity characteristic information of the bolt, and records the acquisition and maintenance information of the whole life cycle of the bolt.
Preferably, the smart cloud big data platform analysis, diagnosis and early warning system comprises a server, a database and a software system development platform; the intelligent cloud big data platform analysis diagnosis early warning system receives bolt holographic information transmitted by the intelligent data acquisition central processing system, and analyzes data by big data analysis and an AI (intelligent algorithm) algorithm;
the intelligent cloud big data platform analysis, diagnosis and early warning system can monitor the whole bolt fastening process implementation flow safely in real time; the loose bolt can be monitored and early warned; evaluating the bolt torque fastening quality, the working capacity and the efficiency of workers;
the intelligent cloud big data platform analysis diagnosis early warning system is characterized by an algorithm for early warning bolt looseness, the algorithm judges the bolt looseness degree by recognizing the change rate and time of high-strength bolt torque, and the preset values of the change rate and the time are determined through big data analysis.
Compared with the prior art, the invention has the beneficial effects that:
the system platform can discover early safety risks and hidden dangers of a machine set cabin, large components and an electrical system in advance through monitoring, big data analysis and early warning of the high-strength bolt, early warning, early discovery and early elimination of the hidden dangers, serious creation and wind field major economic loss caused to the machine set due to overspeed, vibration, bolt fracture and the like are avoided, and economic benefits cannot be estimated.
The system has the genes of a modern intelligent wind power plant, comprehensively improves the intelligent operation level of the whole plant, promotes the development of unattended operation and unattended operation of the wind power plant, can be used as a benchmarking project and a demonstration project, can generate a skin effect on the subsequent intelligent development of other wind power plants due to the benchmarking and the demonstration effect, optimizes the wind power plant in the whole wind power industry, and has considerable potential economic benefit.
Drawings
Fig. 1 is a topological structure diagram of the intelligent detection system for the high-strength bolt of the high-power wind turbine generator based on the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiment is only one mechanical embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the high-strength bolt intelligent detection system of the high-power wind turbine generator based on the Internet of things comprises an energy source power device, an intelligent data acquisition central processing system, an intelligent code identification and acquisition system, a bolt identification coding system and a smart cloud big data platform analysis diagnosis early warning system, wherein the energy source power device can automatically calculate bolt torque requirements of different specifications and provide power sources of different specifications; the intelligent data acquisition central processing system is provided with the intelligent detection sensor, and can automatically transmit information such as the pressure value, the measuring range calibration and the like of the bolt to the intelligent data acquisition central processing system.
Specifically, the intelligent data acquisition central processing system encodes the wind power plant and the wind turbine generator step by step through levels and intelligently partitions the whole wind turbine generator according to functions; receiving high-strength bolt data information acquired by an energy source power device, and receiving high-strength bolt coding information clusters acquired by an intelligent coding identification and acquisition system;
the intelligent data acquisition central processing system is characterized in that the algorithm of the high-strength bolts is accurately positioned, the algorithm forms the unique identification codes of the high-strength bolts through a combined algorithm of a wind power plant, a machine type, a component, a high-strength bolt coding information cluster and a high-strength bolt data cluster, the information of each high-strength bolt is accurately positioned and is transmitted to the intelligent cloud big data platform analysis diagnosis early warning system in real time through a wireless network, and the holographic data of the bolts are also stored in a local redundancy mode.
The intelligent data acquisition central processing system is characterized in that in the acquisition process of the high-strength bolt, after the operation environment and the like are interrupted, the high-strength bolt can be seamlessly connected and accurately positioned to the original operation unit, the specific parts of the operation and the specific bolts of the operation again after the operation is restarted;
the intelligent data acquisition central processing system is characterized in that discontinuous operation can be realized in the high-strength bolt acquisition process, for example, operation interruption of the same unit can be realized, if the unit which is operated does not have operation conditions after operation is recovered, high-strength bolt operation of other units can be firstly carried out, after the unit which is not operated has the conditions, operation is continued, and the intelligent data acquisition central processing system can still accurately position the high-strength bolt to be subjected to torque of the unit which is not operated.
Specifically, the intelligent coding recognition and acquisition system collects process data values of the high-strength bolt in real time to form a primary moment fastening process spectral line, collects information such as a moment identification code, a measuring range, a moment line spectrum, an operation bolt dynamic data set and the like, performs holographic monitoring on bolt moment operation, and transmits the collected data to the intelligent data acquisition central processing system in real time;
the intelligent code identification and acquisition system is characterized in that the identification algorithm of the bolt identification can avoid the problem of identifying a plurality of codes at one time in the data acquisition process, and only the required bolt characteristic code is identified at one time;
the intelligent coding recognition and acquisition system is characterized in that the physical coordinates of the high-strength bolt can be positioned, the process track of the operated bolt is acquired, and the process of fastening the high-strength bolt is holographically and accurately monitored.
Specifically, the bolt identification coding system adopts a passive intelligent chip, an accurate identification and a positioning bolt, and the arrangement frequency of the intelligent chip is adjusted in real time according to an intelligent algorithm, so that accurate positioning of bolts of different units and different specifications can be met; the coding of the intelligent chip adopts an arithmetic progression coding rule with variable tolerance, and is organically combined with a software algorithm of an intelligent data acquisition system to perform redundant positioning on the high-strength bolt; the intelligent chip is provided with identity characteristic information of the bolt, and records the acquisition and maintenance information of the whole life cycle of the bolt.
Specifically, the smart cloud big data platform analysis, diagnosis and early warning system comprises a server, a database and a software system development platform; the intelligent cloud big data platform analysis diagnosis early warning system receives bolt holographic information transmitted by the intelligent data acquisition central processing system, and analyzes data by big data analysis and an AI (intelligent algorithm) algorithm;
the intelligent cloud big data platform analysis diagnosis early warning system can monitor the whole bolt fastening process implementation flow in real time; the loose bolt can be monitored and early warned; and evaluating the bolt torque fastening quality, the working capacity and the efficiency of the staff.
The intelligent cloud big data platform analysis diagnosis early warning system is characterized by an algorithm for early warning bolt looseness, wherein the algorithm judges the bolt looseness degree by recognizing the change rate and time of high-strength bolt torque, and the preset values of the change rate and the time are determined by big data analysis.
Example (b): the IHPS100 is a multipurpose intelligent equipment system which adopts a cloud technology, a big data technology and a computer information technology, can intelligently code a bolt group, remotely monitor bolt pre-tightening torque, upload pre-tightening data to a background, display the bolt pre-tightening torque in real time by a remote client, and record and collect regular inspection data. Has the following functions: monitoring various types of wind turbine generator set bolts, and intelligently coding and grouping the bolts; the system can identify and confirm different bolt marks and acquire information, and the bolt pre-tightening torque range is wide; the client displays the bolt pre-tightening torque value in real time; early warning that the bolt pre-tightening torque value exceeds the limit; and a business statistical report is automatically generated, and a powerful basis is provided for operation decision.
The high-strength bolt fastening monitoring system adopts intelligent torque acquisition equipment, so that a torque value can be stored locally in real time and uploaded to a data cloud;
the data cloud end automatically encodes the torque value of the unit and generates a report, the operation quality of the personnel for the scheduled inspection is guaranteed through technical means, and the uncontrollable states of less beating, no beating and no beating in the traditional bolt moment beating process are avoided;
meanwhile, the main loading condition of the unit in one year can be analyzed through the cloud big data analysis function, and the condition of loaded components is focused;
the intelligent regular inspection system supports local storage and remote transmission of high-capacity data of a single unit and a whole wind turbine;
the seamless connection operation after the operation is interrupted due to objective or uncontrollable links such as thunderstorm weather is supported, for example, the operation is stopped due to the thunderstorm weather in the operation process, the operation record can be recorded in the intelligent acquisition equipment in detail by the torque applying operation, and the unit, the specific parts and the specific bolts of the operation which are operated last time can be seamlessly connected after the operation is recovered;
the intelligent regular inspection system supports discontinuous operation, for example, when the operation of the same unit is interrupted, if the operation is recovered, the operated unit does not have operation conditions, torque striking operation of other units can be firstly carried out, and after the unit with the incomplete operation has the conditions, the operation is continued, so that the intelligent acquisition system can be accurately positioned on a specific bolt of the unfinished unit to be subjected to torque striking;
the Internet of things cloud platform is provided with a whole field, a part and a single bolt visual interface; the method can display the blade group (blades 1, 2 and 3), the variable pitch bearing (variable pitch bearing 1, variable pitch bearing 2 and variable pitch bearing 3), the main shaft (main shaft and hub, main shaft and gear box, main shaft bearing seat and main frame), the tower (basic flange and bottom tower section, 1-2 tower sections, 2-3 tower sections, top section and engine room) in a display mode by dividing regions, and corresponds to the information acquisition equipment with a first-level page, a second-level page or other state information;
the single bolt can be displayed graphically, and each single bolt information display (or hidden display) comprises a point spectrum, time, an operator and the like;
displaying the bolt torque line spectrum integrally;
intelligent analysis and early warning function can classify and extract the bolt that produces not hard up to classify and early warning and demonstration, and output report form.
To sum up, intelligence is examined system surely adopts intelligent bolt moment collection equipment, can be in real time with the moment value save local, upload the data high in the clouds, the data high in the clouds is to unit moment value automatic coding, automatic generation report form, guarantees the quality of operation of examining personnel surely through technical means, avoids traditional bolt to beat the moment in-process and beat, beat not beat uncontrollable state.
Meanwhile, the main load condition of the unit in one year can be analyzed through the cloud big data analysis function, the condition of the load-bearing part is focused, and early warning is carried out in advance.
The intelligent regular inspection system can realize local storage and remote transmission of large-capacity data of a single unit and a whole wind turbine, and supports seamless connection operation after operation interruption caused by objective or uncontrollable links such as thunderstorm weather, for example, operation is stopped in the operation process due to thunder weather, torque applying operation can record operation records in intelligent acquisition equipment in detail, and after operation is recovered, the unit operated last time, specific parts of operation and specific bolts of operation can be seamlessly connected.
The intelligent regular inspection system can realize discontinuous operation, for example, when the operation of the same unit is interrupted, if the operation is recovered, the operated unit does not have the operation condition, the torque striking operation of other units can be firstly carried out, and after the unit with the incomplete operation has the condition, the operation is continued, and the intelligent acquisition system can be accurately positioned on a specific bolt of the incomplete unit to be subjected to torque striking.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or equivalent arrangements may be made therein without departing from the spirit and scope of the invention.
Claims (5)
1. High-power wind turbine generator system bolt intellectual detection system that excels in based on thing networking, its characterized in that: the intelligent cloud big data platform analysis, diagnosis and early warning system comprises an energy source power device, an intelligent data acquisition central processing system, an intelligent code identification and acquisition system, a bolt identification and coding system and an intelligent cloud big data platform analysis, diagnosis and early warning system, wherein the energy source power device can automatically calculate bolt torque requirements of different specifications and provide power sources of different specifications; the intelligent data acquisition central processing system is provided with the intelligent detection sensor, and can automatically transmit information such as the pressure value, the measuring range calibration and the like of the bolt to the intelligent data acquisition central processing system.
2. The high-power wind turbine generator high-strength bolt intelligent detection system based on the Internet of things of claim 1 is characterized in that: the intelligent data acquisition central processing system encodes the wind power plant and the wind turbine generator step by step through hierarchy and intelligently partitions the whole wind turbine generator according to functions; receiving high-strength bolt data information acquired by an energy source power device, and receiving high-strength bolt coding information clusters acquired by an intelligent coding identification and acquisition system;
the intelligent data acquisition central processing system is characterized in that an algorithm for accurately positioning the high-strength bolts forms a unique identification code of the high-strength bolt through a combined algorithm of a wind power plant, a machine type, a component, a high-strength bolt coding information cluster and a high-strength bolt data cluster, the information of each high-strength bolt is accurately positioned and is transmitted to an intelligent cloud big data platform analysis diagnosis early warning system in real time through a wireless network, and the holographic data of the bolts are also stored in a local redundancy mode;
the intelligent data acquisition central processing system is characterized in that in the acquisition process of the high-strength bolt, after the operation environment and the like are interrupted, the high-strength bolt can be seamlessly connected and accurately positioned to the original operation unit, the specific parts of the operation and the specific bolts of the operation again after the operation is started again;
the intelligent data acquisition central processing system is characterized in that discontinuous operation can be realized in the high-strength bolt acquisition process, for example, operation interruption of the same unit can be realized, if the unit which is operated does not have operation conditions after operation recovery, high-strength bolt operation of other units can be firstly carried out, operation can be continued after the unit which is not operated has the conditions, and the intelligent data acquisition central processing system can still accurately position the specific high-strength bolt to be subjected to torque striking of the unit which is not operated.
3. The high-power wind turbine generator high-strength bolt intelligent detection system based on the Internet of things of claim 1 is characterized in that: the intelligent code recognition and acquisition system acquires process data values of the high-strength bolt in real time to form a primary torque fastening process spectral line, acquires information such as a torque identification code, a measuring range, a torque line spectrum, an operation bolt dynamic data set and the like, performs holographic monitoring on bolt torque operation, and transmits the acquired data to an intelligent data acquisition central processing system in real time;
the intelligent code recognition and acquisition system is characterized in that a recognition algorithm of bolt identification can avoid the problem of recognizing a plurality of codes at one time in the data acquisition process, and only the required bolt characteristic code is recognized at one time;
the intelligent code recognition and acquisition system is characterized in that the physical coordinates of the high-strength bolt can be positioned, the process track of the operated bolt is acquired, and the process of fastening the high-strength bolt is holographically and accurately monitored.
4. The high-power wind turbine generator high-strength bolt intelligent detection system based on the Internet of things of claim 1 is characterized in that: the bolt identification coding system adopts a passive intelligent chip, an accurate identification and a positioning bolt, and the arrangement frequency of the intelligent chip is adjusted in real time according to an intelligent algorithm, so that accurate positioning of bolts of different units and different specifications can be met; the coding of the intelligent chip adopts an arithmetic progression coding rule with variable tolerance, and is organically combined with a software algorithm of an intelligent data acquisition system to perform redundant positioning on the high-strength bolt; the intelligent chip is provided with identity characteristic information of the bolt, and records the acquisition and maintenance information of the whole life cycle of the bolt.
5. The high-power wind turbine generator high-strength bolt intelligent detection system based on the Internet of things of claim 1 is characterized in that: the smart cloud big data platform analysis, diagnosis and early warning system comprises a server, a database and a software system development platform; the intelligent cloud big data platform analysis diagnosis early warning system receives bolt holographic information transmitted by the intelligent data acquisition central processing system, and analyzes data by big data analysis and an AI (intelligent algorithm) algorithm;
the intelligent cloud big data platform analysis, diagnosis and early warning system can monitor the whole bolt fastening process implementation flow safely in real time; the loose bolt can be monitored and early warned; evaluating the bolt torque fastening quality, the working capacity and the efficiency of workers;
the intelligent cloud big data platform analysis diagnosis early warning system is characterized by an algorithm for early warning bolt looseness, the algorithm judges the bolt looseness degree by recognizing the change rate and time of high-strength bolt torque, and the preset values of the change rate and the time are determined through big data analysis.
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