CN113567163A - Roller coaster operation detection, analysis and abnormity early warning method - Google Patents
Roller coaster operation detection, analysis and abnormity early warning method Download PDFInfo
- Publication number
- CN113567163A CN113567163A CN202110804909.2A CN202110804909A CN113567163A CN 113567163 A CN113567163 A CN 113567163A CN 202110804909 A CN202110804909 A CN 202110804909A CN 113567163 A CN113567163 A CN 113567163A
- Authority
- CN
- China
- Prior art keywords
- module
- roller coaster
- early warning
- analysis
- data acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
- 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
Abstract
The invention discloses a method for detecting, analyzing and early warning of roller coaster running, which comprises the following steps: acquiring operation data in real time in the running process of the roller coaster through a data acquisition module arranged on the roller coaster; the data acquisition module comprises an acceleration detection module and a pose detection module; analyzing the position information on the track corresponding to the pose value through an analysis module in communication connection with the data acquisition module according to the pose value to obtain an actual acceleration value corresponding to the position information; the operating state of the roller coaster is evaluated by an evaluation module connected to the analysis module. The posture of the roller coaster during operation is detected, the acceleration value of the specific position of the roller coaster can be accurately detected through the posture, and then the early accurate early warning of the state of equipment is realized through the combination of the posture and the acceleration, so that the operation safety of people and the equipment is ensured.
Description
Technical Field
The invention relates to the technical field of roller coaster safety control, in particular to a roller coaster operation detection, analysis and abnormity early warning method.
Background
The roller coaster serving as a large-scale expedition amusement facility needs to be controlled in a certain range of accelerated speeds at different track positions in order to ensure safety of tourists during operation, and the accelerated speeds of the roller coasters running at different positions of a track are different due to conversion between kinetic energy and potential energy during operation, so that the accelerated speeds of the roller coasters at the same position on the track are not changed greatly in a normal state after the roller coasters are built, and therefore, early warning of faults of the roller coasters can be achieved by detecting the accelerated speed values of the roller coasters at different track positions, and safety of the tourists and equipment is guaranteed.
However, although the acceleration values of the roller coaster are relatively fixed at different positions of the track, the whole running process of the roller coaster is generally short, particularly the speed is extremely high when the roller coaster slides down, the running state of the roller coaster is evaluated by simply applying acceleration detection, and the deviation between the acceleration value used for evaluation and the position of the actually obtained acceleration value is easily caused by the extremely high speed, so that the loss of the abnormal detection capability of the equipment is easily caused, and the potential safety hazard is caused for the running of the roller coaster.
Disclosure of Invention
An object of the present invention is to solve at least the above problems and to provide at least the advantages described later.
The invention also aims to provide a roller coaster running detection, analysis and abnormity early warning method, through the detection of the pose in the running process of the roller coaster, the acceleration value of the specific position of the roller coaster can be accurately detected through the pose, and further through the combination of the pose and the acceleration, the early accurate early warning of the state of equipment is realized, and the running safety of people and equipment is ensured.
To achieve these objects and other advantages in accordance with the purpose of the invention, there is provided a roller coaster operation detection, analysis and abnormality warning method, comprising:
acquiring operation data in real time in the running process of the roller coaster through a data acquisition module arranged on the roller coaster; the data acquisition module comprises an acceleration detection module and a pose detection module; the acceleration detection module and the pose detection module respectively take the detected actual acceleration value and pose value of each position of the roller coaster in the running process as the running data;
analyzing the position information on the track corresponding to the pose value through an analysis module in communication connection with the data acquisition module according to the pose value to obtain an actual acceleration value corresponding to the position information; and
evaluating the running state of the roller coaster by an evaluation module connected with the analysis module; wherein the evaluation module evaluates the operation state of the roller coaster by comparing the actual acceleration value with a stored standard acceleration value of the roller coaster passing a corresponding position on the track.
Preferably, in the method for detecting, analyzing and early warning of roller coaster operation, the standard acceleration value stored in the evaluation module is derived from induction and learning of acceleration data accumulated during repeated normal operation of the roller coaster on the track.
Preferably, the method for detecting, analyzing and early warning of roller coaster operation further comprises:
sending out early warning through an early warning module connected to the evaluation module; the early warning module sends out early warning when the running state of the roller coaster obtained by the evaluation module is abnormal;
wherein, the running state of roller coaster still includes: normal;
the evaluation module evaluates the running state of the roller coaster as abnormal when the actual acceleration value corresponding to the position information exceeds the threshold range of a preset standard acceleration value, or the actual acceleration value continuously and weakly changes towards one direction and is accumulated to a preset reference value; and when the actual acceleration value is within the threshold value range, evaluating the running state of the roller coaster to be normal.
Preferably, the method for detecting, analyzing and early warning of roller coaster operation further comprises:
storing the operation data acquired by the data acquisition module through a local storage module connected to the data acquisition module, and sending the operation data to the analysis module for analysis;
the data uploading of the local storage module to the cloud storage module and the storage of the data acquisition module, the analysis module and the evaluation module at the cloud are realized through the cloud processing module respectively connected with the local storage module, the data acquisition module, the analysis module and the evaluation module.
Preferably, the method for detecting, analyzing and early warning of roller coaster operation further comprises:
the sampling frequency of the data acquisition module is controlled by a control module respectively connected with the data acquisition module and a cloud processing module, after the roller coaster enters the station, the data acquisition module is controlled to send acquired running data to the analysis module, and the cloud processing module is used for controlling the control module.
Preferably, the method for detecting, analyzing and early warning of roller coaster operation further comprises:
the monitoring control terminal is arranged in the intelligent mobile equipment; the monitoring control terminal is respectively connected with the control module, the data acquisition module, the analysis module and the early warning module so as to realize remote control of the control module and real-time monitoring of the running state and early warning of the roller coaster;
the monitoring control terminal operates in any one of a manual mode, a timing mode and an automatic mode:
in an automatic mode, the monitoring control terminal automatically judges whether to enter or exit a monitoring state according to the forward acceleration value of the roller coaster;
and in the timing mode, the monitoring control terminal enters or exits a monitoring state according to the set running time of the roller coaster.
The invention at least comprises the following beneficial effects:
according to the method for detecting, analyzing and early warning the roller coaster running, the position and posture data in the roller coaster running process are obtained through the position and posture detection module in the data acquisition module, and the specific position information on the track corresponding to the position and posture data is obtained through position and posture data analysis, so that the acceleration value of the specific position of the roller coaster is accurately detected through the position and posture, namely the early accurate monitoring of the state of equipment is realized through the combination of the position and the acceleration, and the running safety of people and the equipment is ensured.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
Fig. 1 is an operation flow chart of the method for detecting, analyzing and early warning the roller coaster running according to the present invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in fig. 1, the present invention provides a method for detecting, analyzing and early warning of roller coaster operation, comprising:
acquiring operation data in real time in the running process of the roller coaster through a data acquisition module arranged on the roller coaster; the data acquisition module comprises an acceleration detection module and a pose detection module; the acceleration detection module and the pose detection module respectively take the detected actual acceleration value and pose value of each position of the roller coaster in the running process as the running data;
analyzing the position information on the track corresponding to the pose value through an analysis module in communication connection with the data acquisition module according to the pose value to obtain an actual acceleration value corresponding to the position information; and
evaluating the running state of the roller coaster by an evaluation module connected with the analysis module; wherein the evaluation module evaluates the operation state of the roller coaster by comparing the actual acceleration value with a stored standard acceleration value of the roller coaster passing a corresponding position on the track.
In the scheme, after the roller coaster is built, the acceleration of the roller coaster at the same position on the track is not changed greatly in a normal state, so that the abnormal state of the roller coaster can be warned by detecting the acceleration values of the roller coaster at different track positions, meanwhile, the same roller coaster track is fixed, the postures of the roller coaster at different positions on the track are also fixed, and the motion accelerations of the roller coaster at different positions are also basically fixed, so that the posture data of the roller coaster in the running process is obtained through the posture detection module in the data acquisition module, and the specific position information on the track corresponding to the posture data is obtained through the posture data analysis, thereby realizing the purpose of using the posture and the three-axis acceleration to describe the state and the process information of the roller coaster together, namely determining the specific position of the roller coaster on the track through the posture detection in the running process of the roller coaster, and then the acceleration value of the specific position of the roller coaster is accurately detected through the pose, namely, the early accurate monitoring of the state of the roller coaster equipment is realized through the combination of the pose and the acceleration, and the running safety of people and equipment is ensured.
In a preferred embodiment, the standard acceleration values stored in the evaluation module are derived from induction and learning of acceleration data accumulated during repeated normal operation of the roller coaster on the track.
In the scheme, the standard acceleration value is accumulated through the self-learning function of the system, so that the accuracy of the data is ensured, and the standard acceleration value can be used as basic data for equipment state abnormity detection to realize intelligent detection of equipment abnormity.
In a preferred embodiment, the method further comprises:
sending out early warning through an early warning module connected to the evaluation module; the early warning module sends out early warning when the running state of the roller coaster obtained by the evaluation module is abnormal;
wherein, the running state of roller coaster still includes: normal;
the evaluation module evaluates the running state of the roller coaster as abnormal when the actual acceleration value corresponding to the position information exceeds the threshold range of a preset standard acceleration value, or the actual acceleration value continuously and weakly changes towards one direction and is accumulated to a preset reference value; and when the actual acceleration value is within the threshold value range, evaluating the running state of the roller coaster to be normal.
In the above scheme, under the condition of normal movement of the roller coaster, at each position (position with obvious movement characteristics), the directions of the expressed 3 axial accelerations, linear speeds and poses and the data characteristics passing through the position at ordinary times have more deviation or a trend (accumulated to a certain degree) of continuous and weak change towards one direction, and the roller coaster is considered to have abnormality at the position, and the roller coaster is connected with the evaluation module through the early warning module, so that when the characteristic data continuously changes in a small amplitude or changes in a large amplitude at some positions, early warning information such as prompt information can be sent to a user to prompt the user that the position needs to keep attention, and timely maintenance and investigation is carried out, thereby ensuring the safety of equipment and personnel.
In a preferred embodiment, the method further comprises:
storing the operation data acquired by the data acquisition module through a local storage module connected to the data acquisition module, and sending the operation data to the analysis module for analysis;
the data uploading of the local storage module to the cloud storage module and the storage of the data acquisition module, the analysis module and the evaluation module at the cloud are realized through the cloud processing module respectively connected with the local storage module, the data acquisition module, the analysis module and the evaluation module.
In the scheme, the local storage module and the cloud processing module are arranged, so that the field data can be stored at the equipment end and the cloud end simultaneously, and the objectivity of the data is further ensured; meanwhile, the local storage module can have data analysis capability, so that large-data-volume operation and state direct judgment can be performed at the equipment end, and the capacity of uploading data in real time and completing online monitoring is also achieved.
In a preferred embodiment, the method further comprises:
the sampling frequency of the data acquisition module is controlled by a control module respectively connected with the data acquisition module and a cloud processing module, after the roller coaster enters the station, the data acquisition module is controlled to send acquired running data to the analysis module, and the cloud processing module is used for controlling the control module.
In the scheme, the sampling start and stop modes and the sampling frequency of the data acquisition module can be flexibly set through the setting of the control module, meanwhile, after the roller coaster arrives, the data file of the sampling can be automatically transmitted to the analysis module, so that the relevant software of the analysis module carries out data processing, the actual acceleration values of the roller coaster at different positions are locally displayed, then the normal acceleration values of the corresponding positions of the roller coaster obtained through machine learning are compared, and when the normal acceleration values exceed the normal values, the system automatically sends out a state abnormity alarm to remind a manager that the state of the equipment changes and needs to be subjected to relevant inspection, so that early warning of the equipment is realized, and the safety of tourists and the equipment is ensured; through the connection of the control module and the cloud processing module, the system can be deployed at the cloud, and expert remote fault diagnosis of the roller coaster equipment is realized.
In addition, sampled data can be stored in the TF card in a file form, each group of data corresponds to specific time of sampling, the files in the TF card can be transmitted into a computer through provided basic software, and a user can open the files through EXCEL, analyze the data and judge the running state of equipment;
in a preferred embodiment, the method further comprises:
the monitoring control terminal is arranged in the intelligent mobile equipment; the monitoring control terminal is respectively connected with the control module, the data acquisition module, the analysis module and the early warning module so as to realize remote control of the control module and real-time monitoring of the running state and early warning of the roller coaster;
the monitoring control terminal operates in any one of a manual mode, a timing mode and an automatic mode:
in an automatic mode, the monitoring control terminal automatically judges whether to enter or exit a monitoring state according to the forward acceleration value of the roller coaster;
in the timing mode, the monitoring control terminal enters or exits a monitoring state according to the set running time of the roller coaster
In the scheme, the monitoring control terminal arranged in the intelligent mobile equipment is essentially an APP arranged in the intelligent equipment, and through the setting of the APP, field maintenance personnel can acquire the data of the roller coaster operation and related early warning in real time, find problems in time and ensure the personal safety of tourists; in addition, the monitoring control terminal is set to support a manual mode, a timing mode and an automatic mode, so that the system can enter and exit the detection state manually, or can be set to the automatic mode, the entering and exiting detection state can be judged automatically through the value of forward acceleration of the roller coaster, or the time for entering the detection state and exiting the detection state can be set according to the running time of the roller coaster, and the system is more flexible and convenient to use.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (6)
1. A roller coaster operation detection, analysis and abnormity early warning method comprises the following steps:
acquiring operation data in real time in the running process of the roller coaster through a data acquisition module arranged on the roller coaster; the data acquisition module comprises an acceleration detection module and a pose detection module; the acceleration detection module and the pose detection module respectively take the detected actual acceleration value and pose value of each position of the roller coaster in the running process as the running data;
analyzing the position information on the track corresponding to the pose value through an analysis module in communication connection with the data acquisition module according to the pose value to obtain an actual acceleration value corresponding to the position information; and
evaluating the running state of the roller coaster by an evaluation module connected with the analysis module; wherein the evaluation module evaluates the operation state of the roller coaster by comparing the actual acceleration value with a stored standard acceleration value of the roller coaster passing a corresponding position on the track.
2. The method of coaster ride detection, analysis and anomaly early warning as claimed in claim 1 wherein the stored standard acceleration values within the assessment module are derived from induction and learning of acceleration data accumulated for repeated normal operation of the coaster ride on the track.
3. The method for roller coaster operation detection, analysis and anomaly early warning of claim 1, further comprising:
sending out early warning through an early warning module connected to the evaluation module; the early warning module sends out early warning when the running state of the roller coaster obtained by the evaluation module is abnormal;
wherein, the running state of roller coaster still includes: normal;
the evaluation module evaluates the running state of the roller coaster as abnormal when the actual acceleration value corresponding to the position information exceeds the threshold range of a preset standard acceleration value, or the actual acceleration value continuously and weakly changes towards one direction and is accumulated to a preset reference value; and when the actual acceleration value is within the threshold value range, evaluating the running state of the roller coaster to be normal.
4. The method of coaster ride detection, analysis and anomaly early warning as claimed in claim 3, further comprising:
storing the operation data acquired by the data acquisition module through a local storage module connected to the data acquisition module, and sending the operation data to the analysis module for analysis;
the data uploading of the local storage module to the cloud storage module and the storage of the data acquisition module, the analysis module and the evaluation module at the cloud are realized through the cloud processing module respectively connected with the local storage module, the data acquisition module, the analysis module and the evaluation module.
5. The method of coaster ride detection, analysis and anomaly early warning as claimed in claim 4, further comprising:
the sampling frequency of the data acquisition module is controlled by a control module respectively connected with the data acquisition module and a cloud processing module, after the roller coaster enters the station, the data acquisition module is controlled to send acquired running data to the analysis module, and the cloud processing module is used for controlling the control module.
6. The method of coaster ride detection, analysis and anomaly early warning as claimed in claim 4, further comprising:
the monitoring control terminal is arranged in the intelligent mobile equipment; the monitoring control terminal is respectively connected with the control module, the data acquisition module, the analysis module and the early warning module so as to realize remote control of the control module and real-time monitoring of the running state and early warning of the roller coaster;
the monitoring control terminal operates in any one of a manual mode, a timing mode and an automatic mode:
in an automatic mode, the monitoring control terminal automatically judges whether to enter or exit a monitoring state according to the forward acceleration value of the roller coaster;
and in the timing mode, the monitoring control terminal enters or exits a monitoring state according to the set running time of the roller coaster.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110804909.2A CN113567163A (en) | 2021-07-16 | 2021-07-16 | Roller coaster operation detection, analysis and abnormity early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110804909.2A CN113567163A (en) | 2021-07-16 | 2021-07-16 | Roller coaster operation detection, analysis and abnormity early warning method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113567163A true CN113567163A (en) | 2021-10-29 |
Family
ID=78165125
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110804909.2A Pending CN113567163A (en) | 2021-07-16 | 2021-07-16 | Roller coaster operation detection, analysis and abnormity early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113567163A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115292872A (en) * | 2022-05-30 | 2022-11-04 | 中国特种设备检测研究院 | Roller coaster track defect positioning method, system, medium and equipment |
| CN117270448A (en) * | 2023-11-15 | 2023-12-22 | 金耀(山东)机械设备集团有限公司 | Large-scale amusement facility operation safety control system based on thing networking |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034868A (en) * | 2006-01-31 | 2007-09-12 | 发那科株式会社 | Motor control method and motor control apparatus |
| JP2007275244A (en) * | 2006-04-05 | 2007-10-25 | Kawasaki Plant Systems Ltd | Behavior abnormality detector and detection method |
| CN103389427A (en) * | 2013-07-31 | 2013-11-13 | 广州华工科技开发有限公司 | Online detection method and system for GIS (gas insulated switchgear) operational condition |
| CN109238273A (en) * | 2018-11-16 | 2019-01-18 | 北京华航无线电测量研究所 | A kind of roller-coaster motion state monitoring method and device |
| CN111650874A (en) * | 2020-04-23 | 2020-09-11 | 岳阳职业技术学院 | Roller coaster overspeed protection monitoring system and method based on Internet of things |
| CN212112198U (en) * | 2020-07-23 | 2020-12-08 | 大连锐视达科技有限公司 | Dynamic monitoring equipment of special equipment |
| CN112565332A (en) * | 2020-11-02 | 2021-03-26 | 北京科技大学 | Oscillation radar vibration and inclination angle state monitoring method and system based on IMU |
-
2021
- 2021-07-16 CN CN202110804909.2A patent/CN113567163A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034868A (en) * | 2006-01-31 | 2007-09-12 | 发那科株式会社 | Motor control method and motor control apparatus |
| JP2007275244A (en) * | 2006-04-05 | 2007-10-25 | Kawasaki Plant Systems Ltd | Behavior abnormality detector and detection method |
| CN103389427A (en) * | 2013-07-31 | 2013-11-13 | 广州华工科技开发有限公司 | Online detection method and system for GIS (gas insulated switchgear) operational condition |
| CN109238273A (en) * | 2018-11-16 | 2019-01-18 | 北京华航无线电测量研究所 | A kind of roller-coaster motion state monitoring method and device |
| CN111650874A (en) * | 2020-04-23 | 2020-09-11 | 岳阳职业技术学院 | Roller coaster overspeed protection monitoring system and method based on Internet of things |
| CN212112198U (en) * | 2020-07-23 | 2020-12-08 | 大连锐视达科技有限公司 | Dynamic monitoring equipment of special equipment |
| CN112565332A (en) * | 2020-11-02 | 2021-03-26 | 北京科技大学 | Oscillation radar vibration and inclination angle state monitoring method and system based on IMU |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115292872A (en) * | 2022-05-30 | 2022-11-04 | 中国特种设备检测研究院 | Roller coaster track defect positioning method, system, medium and equipment |
| CN117270448A (en) * | 2023-11-15 | 2023-12-22 | 金耀(山东)机械设备集团有限公司 | Large-scale amusement facility operation safety control system based on thing networking |
| CN117270448B (en) * | 2023-11-15 | 2024-01-26 | 金耀(山东)机械设备集团有限公司 | Large-scale amusement facility operation safety control system based on thing networking |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113567163A (en) | Roller coaster operation detection, analysis and abnormity early warning method | |
| EP3512793B1 (en) | Method for monitoring an elevator | |
| EP3512791B1 (en) | Method for detecting a passenger entering a lift car of a lift assembly | |
| CN103699698A (en) | Method and system for track traffic failure recognition based on improved Bayesian algorithm | |
| EP2392982A3 (en) | Abnormal situation prevention in a heat exchanger | |
| CN107526329A (en) | Robot management system based on artificial intelligence design | |
| EP2877384A2 (en) | Method for diagnosing railroad components of a railroad network for rail transport | |
| CN110363166A (en) | The monitoring method and device for situation of washing one's hands | |
| CN104573659A (en) | Driver call-making and call-answering monitoring method based on svm | |
| CN103674538A (en) | Multi-fault mode identification method and device of swashplate of helicopter | |
| CN107219805A (en) | A kind of device diagnosis device and method, circuit board based on wireless telecommunications | |
| CN109308746A (en) | A kind of petroleum chemical enterprise's intelligent inspection system and method based on Internet of Things | |
| CN110214071A (en) | Method and apparatus for collecting the operation data of industrial robot application | |
| CN109598309A (en) | A kind of detection system and its monitoring method of mental package press machine | |
| CN208212008U (en) | From survey formula vision inspection system | |
| CN211452846U (en) | Fan fault remote monitoring system based on current signal | |
| CN105894732A (en) | Fatigue driving monitoring system | |
| CN110985424A (en) | Intelligent diagnosis system and method for fan faults of motor train unit | |
| CN106154962A (en) | The comprehensive centralized control system of endless rope winch | |
| CN110160781A (en) | A kind of the test set reconstruct and prediction technique of rotating machinery fault classification | |
| CN106885700A (en) | The simulating test device and its method of a kind of blind area testing equipment | |
| CN108147244A (en) | Elevator maintenance system based on Internet of Things | |
| CN108597052A (en) | Instrument automatic inspection device | |
| CN109515710A (en) | A kind of water and soil pollution environmental protection tests robot and working method | |
| Kolar et al. | Identification of inability states of rotating machinery subsystems using industrial IoT and convolutional neural network–initial research |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |