CN111444055A - System for health assessment and maintenance of equipment - Google Patents
System for health assessment and maintenance of equipment Download PDFInfo
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- CN111444055A CN111444055A CN202010337281.5A CN202010337281A CN111444055A CN 111444055 A CN111444055 A CN 111444055A CN 202010337281 A CN202010337281 A CN 202010337281A CN 111444055 A CN111444055 A CN 111444055A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 72
- 230000036541 health Effects 0.000 title claims abstract description 25
- 238000012544 monitoring process Methods 0.000 claims abstract description 35
- 238000004891 communication Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 11
- 238000011156 evaluation Methods 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000003745 diagnosis Methods 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 8
- 238000012800 visualization Methods 0.000 claims description 8
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000006698 induction Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2289—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by configuration test
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/26—Functional testing
- G06F11/261—Functional testing by simulating additional hardware, e.g. fault simulation
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- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention relates to a system for equipment health assessment and maintenance, which comprises an equipment monitoring unit, a sensor unit, an equipment running state unit, a workpiece parameter unit, a state monitoring unit and a data analysis unit, wherein the sensor unit, the equipment running state unit and the workpiece parameter unit are respectively in communication connection with the equipment monitoring unit; the system for evaluating and maintaining the equipment health can better realize automatic operation, maintenance and early warning, further can better guarantee the normal operation of the system, improve the normal working time and quality requirement of the system and prolong the service life of the system.
Description
Technical Field
The invention relates to the field of application of system health assessment, in particular to a system for equipment health assessment and maintenance.
Background
With the development of social economy, some application systems with high value, long running time and the need of real-time monitoring and maintenance are formed, and equipment in the application systems gradually exposes equipment defects, potential faults, performance degradation and other problems affecting the normal running of system functions in the running process. Therefore, the health degree of the system after long-term operation needs to be evaluated according to parameters such as the operation state of the equipment and the like and by combining the connection composition relationship of all parts of the system.
The invention mainly solves the technical problem of providing a system for health assessment and maintenance of equipment, which can better maintain the stability of the equipment and further meet different equipment requirements.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a system for evaluating and maintaining equipment health, which provides scientific basis for system operation, maintenance, fault early warning, system safety scheduling and the like, better ensures the normal operation of the system, prolongs the normal working time of the system and prolongs the service life of the system.
The invention discloses a system for equipment health assessment and maintenance, which comprises an equipment monitoring unit, a sensor unit, an equipment running state unit, a workpiece parameter unit, a state monitoring unit and a data analysis unit, wherein the sensor unit, the equipment running state unit and the workpiece parameter unit are respectively in communication connection with the equipment monitoring unit;
the induction unit comprises a vibration sensor, a temperature sensor, a noise sensor, a current sensor and a voltage sensor which are respectively used for detecting equipment, the equipment running state unit comprises a rotating speed, running time, start-stop time and processing items which are respectively used for detecting and recording the equipment, and the workpiece parameter unit comprises the material and hardness of an object to be processed;
the state monitoring unit can monitor the real-time state of the equipment operation parameters detected by the equipment operation state unit, the data analysis unit analyzes data by using feature engineering, and provides an algorithm to establish a fault model by taking or generating available features;
the state evaluation unit is used for transmitting the characteristic value to the state monitoring unit for evaluation through communication connection and edge calculation, evaluating the state of the equipment in real time according to the running state information and parameters of the equipment monitored by the state monitoring unit, and generating different color marks and percentages according to different equipment states;
the abnormality detection unit compares the abnormal parameters with the fault model when finding that the state monitoring unit has the abnormal parameters;
the fault algorithm unit generates a fault model after analyzing and calculating through the equipment running state information and parameters acquired by the equipment monitoring unit and the algorithm characteristic parameters provided by the data analysis unit;
the fault diagnosis unit analyzes the acquired data to generate fault codes and provides the fault data and the codes to the fault algorithm unit for operation;
the maintenance decision unit is used for generating a corresponding maintenance decision according to the fault code generated by the fault diagnosis unit by recording equipment maintenance information of historical maintenance records, maintenance records and maintenance methods, and in addition, the corresponding maintenance decision information is also provided for the fault algorithm unit to be used as a part of parameters for algorithm operation, and meanwhile, the result of the fault algorithm unit is also obtained to be used as a maintenance decision judgment reference.
Further, the system also comprises a visualization unit which is in communication connection with the state monitoring unit.
Furthermore, the visualization unit comprises an app or a web with a display for viewing the device state information, the operating state, the environmental parameters, the maintenance parameters and the like in real time.
Furthermore, the system also comprises a prediction maintenance unit which is in communication connection with the fault algorithm unit.
Furthermore, the predictive maintenance unit comprises a predictive maintenance unit which estimates the predictive maintenance needed to be carried out by the equipment through a predictive maintenance algorithm according to the fault algorithm unit, the fault diagnosis unit, the maintenance decision unit and the state evaluation unit.
Furthermore, the device also comprises an alarm unit which is in communication connection with the abnormality detection unit.
By the scheme, the invention at least has the following advantages:
the invention relates to a system for evaluating and maintaining equipment health, which realizes automatic continuous calculation of system health evaluation, outputs parameters of an equipment running state, can continuously track the health change trend of a system and equipment, can give a prediction result of the system health condition through a quantitative calculation process, changes the current situation that only maintenance evaluation is carried out for a long time by health evaluation, provides scientific basis for system running, maintenance, fault early warning, system safety scheduling and the like through prejudging the system health trend, better guarantees the normal running of the system, improves the normal working time of the system, and prolongs the service life of the system.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a block schematic diagram of a system for equipment health assessment and maintenance of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The system for equipment health assessment and maintenance shown in fig. 1 comprises an equipment monitoring unit, a sensor unit, an equipment running state unit, a workpiece parameter unit, a state monitoring unit and a data analysis unit, wherein the sensor unit, the equipment running state unit and the workpiece parameter unit are respectively in communication connection with the equipment monitoring unit;
the induction unit comprises a vibration sensor, a temperature sensor, a noise sensor, a current sensor, a voltage sensor and other external sensors which are respectively used for detecting equipment, the equipment running state unit comprises a controller and other recording modules, the controller is respectively used for detecting and recording the rotating speed, the running time, the starting and stopping time and the processing items of the equipment, the controller is used for recording the running related parameters of the equipment, and the workpiece parameter unit comprises the material and the hardness of an object to be processed and other parameter information related to the workpiece;
the state monitoring unit can monitor the real-time state of the equipment operation parameters detected by the equipment operation state unit, the data analysis unit analyzes data by using characteristic engineering, and provides an algorithm to establish a fault model by adopting available characteristics;
the state evaluation unit is used for transmitting the characteristic value to the state monitoring unit for evaluation through communication connection and edge calculation, evaluating the state of the equipment in real time according to the running state information and parameters of the equipment monitored by the state monitoring unit, and generating different color marks and percentages according to different equipment states;
the abnormality detection unit compares the abnormal parameters with the fault model when the abnormal parameters exist in the state monitoring unit;
the fault algorithm unit is used for generating a fault model after analyzing and calculating equipment running state information and parameters acquired by the equipment monitoring unit and algorithm characteristic parameters provided by the data analysis unit;
the fault diagnosis unit analyzes the acquired data to generate fault codes and provides the fault data and the codes to the fault algorithm unit for operation; (ii) a
The maintenance decision unit is used for recording equipment maintenance information of historical maintenance records, maintenance records and maintenance methods, generating corresponding maintenance decisions according to fault codes generated by the fault diagnosis unit, providing related maintenance decision information to the fault algorithm unit as part of algorithm operation parameters, and simultaneously obtaining results of the fault algorithm unit as maintenance decision judgment references. .
In this embodiment, in order to facilitate real-time viewing of the operating state of the device on the visualization unit, the device further includes a visualization unit in communication connection with the state monitoring unit.
In the embodiment, for convenience of viewing and browsing, the visualization unit includes an app or a web with a display for viewing parameters such as device status information, operating status, environmental parameters, and maintenance in real time.
In this embodiment, in order to pre-determine whether the equipment needs to be maintained and maintained, the system further includes a predictive maintenance unit in communication connection with the fault algorithm unit, where the predictive maintenance unit includes a unit for estimating the predictive maintenance that the equipment needs to be maintained and maintained by using a predictive maintenance algorithm according to the fault algorithm unit, the fault diagnosis unit, the maintenance decision unit, and the state estimation unit.
In this embodiment, in order to issue an alarm to remind the abnormal condition of the device, the device further includes an alarm unit in communication connection with the abnormality detection unit.
The system for equipment health evaluation and maintenance provided by the invention is used as follows:
1. establishing a relation with each unit through the equipment monitoring unit, particularly establishing an equipment running state parameter in a working state;
2. under the operation state of each unit, if the equipment is normal, each unit collects the data of the operation state of the equipment, if the equipment is abnormal, the operation state parameters of the abnormal equipment are transmitted to each unit through the equipment monitoring device, and the analysis and calculation are carried out;
3. each unit, such as each sensor in the sensor unit on the equipment, sends a signal to the equipment monitoring device, the equipment monitoring device collects various parameter signals in the running state of the equipment, processes and converts the signals into corresponding signals representing normal or abnormal through the data analysis unit, analyzes data through the characteristic engineering to adopt and take or generate available characteristics, provides algorithm characteristic data for the fault algorithm unit to establish a fault model, collects parameters such as equipment running parameters, equipment states, environmental parameters and the like through the equipment monitoring device, generates the fault model after analyzing and calculating through the fault algorithm unit, thus, in the running process of the equipment, the state evaluation unit can evaluate the equipment state in real time according to the equipment state information and parameters monitored by the state monitoring unit, generates different color marks and percentages according to different equipment states, when abnormal parameters exist in the data transmission process of the state monitoring unit and the state evaluation unit which are connected with the equipment monitoring unit, the abnormal parameters are compared by using a fault model in the fault algorithm unit in the abnormal detection unit, and if the comparison is successful, the alarm unit gives an alarm to remind the fault;
4. because the fault diagnosis unit can analyze and generate fault codes according to the acquired data, the maintenance decision unit can record equipment maintenance information such as historical maintenance records, maintenance methods and the like, and generate corresponding maintenance decisions according to the fault codes generated by the fault diagnosis unit to maintain the equipment;
5. in daily use of the equipment, according to a fault model provided by a fault algorithm unit, a fault diagnosis unit, a maintenance decision unit, a state evaluation unit and other units can calculate which equipment needs predictive maintenance through a predictive maintenance algorithm;
6. the signals representing the abnormality can be transmitted to the visualization unit, so that the running state of the equipment can be grasped in real time.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other or mutually interacted. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and such modifications and variations should also be regarded as the protection scope of the present invention.
Claims (6)
1. A system for equipment health assessment and maintenance, characterized by: the system comprises an equipment monitoring unit, a sensor unit, an equipment running state unit, a workpiece parameter unit, a state monitoring unit and a data analysis unit, wherein the sensor unit, the equipment running state unit and the workpiece parameter unit are respectively in communication connection with the equipment monitoring unit;
the induction unit comprises a vibration sensor, a temperature sensor, a noise sensor, a current sensor and a voltage sensor which are respectively used for detecting equipment, the equipment running state unit comprises a rotating speed, running time, start-stop time and processing items which are respectively used for detecting and recording the equipment, and the workpiece parameter unit comprises the material and hardness of an object to be processed;
the state monitoring unit can monitor the real-time state of the equipment operation parameters detected by the equipment operation state unit, the data analysis unit analyzes data by using feature engineering, and provides an algorithm to establish a fault model by taking or generating available features;
the state evaluation unit is used for transmitting the characteristic value to the state monitoring unit for evaluation through communication connection and edge calculation, evaluating the state of the equipment in real time according to the running state information and parameters of the equipment monitored by the state monitoring unit, and generating different color marks and percentages according to different equipment states;
the abnormality detection unit compares the abnormal parameters with the fault model when finding that the state monitoring unit has the abnormal parameters;
the fault algorithm unit generates a fault model after analyzing and calculating through the equipment running state information and parameters acquired by the equipment monitoring unit and the algorithm characteristic parameters provided by the data analysis unit;
the fault diagnosis unit analyzes the acquired data to generate fault codes and provides the fault data and the codes to the fault algorithm unit for operation;
the maintenance decision unit is used for generating a corresponding maintenance decision according to the fault code generated by the fault diagnosis unit by recording equipment maintenance information of historical maintenance records, maintenance records and maintenance methods, and in addition, the corresponding maintenance decision information is also provided for the fault algorithm unit to be used as a part of parameters for algorithm operation, and meanwhile, the result of the fault algorithm unit is also obtained to be used as a maintenance decision judgment reference.
2. A system for equipment health assessment and maintenance according to claim 1, wherein: the system also comprises a visualization unit in communication connection with the state monitoring unit.
3. A system for equipment health assessment and maintenance according to claim 2, wherein: the visualization unit comprises an app or a web with a display, and the app or the web is used for viewing parameters such as equipment state information, running states, environmental parameters and maintenance parameters in real time.
4. A system for equipment health assessment and maintenance according to claim 1, wherein: the system also comprises a prediction maintenance unit which is in communication connection with the fault algorithm unit.
5. A system for equipment health assessment and maintenance according to claim 4, characterized in that: the predictive maintenance unit comprises a predictive maintenance unit which estimates the predictive maintenance needed by the equipment through a predictive maintenance algorithm according to the fault algorithm unit, the fault diagnosis unit, the maintenance decision unit and the state estimation unit.
6. A system for equipment health assessment and maintenance according to claim 1, wherein: the device also comprises an alarm unit which is in communication connection with the abnormality detection unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010337281.5A CN111444055A (en) | 2020-04-26 | 2020-04-26 | System for health assessment and maintenance of equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010337281.5A CN111444055A (en) | 2020-04-26 | 2020-04-26 | System for health assessment and maintenance of equipment |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112098128A (en) * | 2020-09-08 | 2020-12-18 | 天津大学 | Power mechanical equipment fault and energy consumption analysis method based on noise and vibration |
| CN112308300A (en) * | 2020-10-19 | 2021-02-02 | 中国电子科技集团公司第三十八研究所 | Large-scale electronic product state prediction management system |
| CN112561238A (en) * | 2020-11-24 | 2021-03-26 | 国家电网有限公司 | Pumped storage power station auxiliary equipment state health evaluation system and method |
| CN113052480A (en) * | 2021-04-07 | 2021-06-29 | 上海坤飒信息科技有限公司 | Equipment risk assessment method based on image model analysis |
| CN113408116A (en) * | 2021-06-07 | 2021-09-17 | 中国神华能源股份有限公司国华电力分公司 | Method and device for judging health state of equipment |
| CN113570231A (en) * | 2021-07-22 | 2021-10-29 | 浙江幸福航天科技有限公司 | Power station health management system |
| CN116187725A (en) * | 2023-04-27 | 2023-05-30 | 武汉新威奇科技有限公司 | Forging equipment management system for forging automatic line |
| CN116275755A (en) * | 2023-05-12 | 2023-06-23 | 苏州诺克汽车工程装备有限公司 | Intelligent control system of welding production line |
| CN117115937A (en) * | 2023-10-20 | 2023-11-24 | 湖南半岛医疗科技有限公司 | Equipment running state monitoring method and device, cloud equipment and storage medium |
| CN117151696A (en) * | 2023-10-27 | 2023-12-01 | 中科华辰(山东)实业股份有限公司 | Photovoltaic operation and maintenance management system |
| CN117196590A (en) * | 2023-11-02 | 2023-12-08 | 深圳百沃彰世科技有限公司 | Intelligent maintenance efficiency evaluation system for operation and maintenance of communication equipment |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112098128A (en) * | 2020-09-08 | 2020-12-18 | 天津大学 | Power mechanical equipment fault and energy consumption analysis method based on noise and vibration |
| CN112308300A (en) * | 2020-10-19 | 2021-02-02 | 中国电子科技集团公司第三十八研究所 | Large-scale electronic product state prediction management system |
| CN112561238A (en) * | 2020-11-24 | 2021-03-26 | 国家电网有限公司 | Pumped storage power station auxiliary equipment state health evaluation system and method |
| CN113052480A (en) * | 2021-04-07 | 2021-06-29 | 上海坤飒信息科技有限公司 | Equipment risk assessment method based on image model analysis |
| CN113408116A (en) * | 2021-06-07 | 2021-09-17 | 中国神华能源股份有限公司国华电力分公司 | Method and device for judging health state of equipment |
| CN113570231A (en) * | 2021-07-22 | 2021-10-29 | 浙江幸福航天科技有限公司 | Power station health management system |
| CN116187725A (en) * | 2023-04-27 | 2023-05-30 | 武汉新威奇科技有限公司 | Forging equipment management system for forging automatic line |
| CN116187725B (en) * | 2023-04-27 | 2023-08-04 | 武汉新威奇科技有限公司 | Forging equipment management system for forging automatic line |
| CN116275755A (en) * | 2023-05-12 | 2023-06-23 | 苏州诺克汽车工程装备有限公司 | Intelligent control system of welding production line |
| CN117115937A (en) * | 2023-10-20 | 2023-11-24 | 湖南半岛医疗科技有限公司 | Equipment running state monitoring method and device, cloud equipment and storage medium |
| CN117115937B (en) * | 2023-10-20 | 2024-01-19 | 湖南半岛医疗科技有限公司 | Equipment running state monitoring method and device, cloud equipment and storage medium |
| CN117151696A (en) * | 2023-10-27 | 2023-12-01 | 中科华辰(山东)实业股份有限公司 | Photovoltaic operation and maintenance management system |
| CN117151696B (en) * | 2023-10-27 | 2024-01-23 | 中科华辰(山东)实业股份有限公司 | Photovoltaic operation and maintenance management system |
| CN117196590A (en) * | 2023-11-02 | 2023-12-08 | 深圳百沃彰世科技有限公司 | Intelligent maintenance efficiency evaluation system for operation and maintenance of communication equipment |
| CN117196590B (en) * | 2023-11-02 | 2024-04-23 | 深圳百沃彰世科技有限公司 | Intelligent maintenance efficiency evaluation system for operation and maintenance of communication equipment |
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