CN116678653A - Sewage treatment system abnormality diagnosis method based on sensor self-detection - Google Patents
Sewage treatment system abnormality diagnosis method based on sensor self-detection Download PDFInfo
- Publication number
- CN116678653A CN116678653A CN202310606615.8A CN202310606615A CN116678653A CN 116678653 A CN116678653 A CN 116678653A CN 202310606615 A CN202310606615 A CN 202310606615A CN 116678653 A CN116678653 A CN 116678653A
- Authority
- CN
- China
- Prior art keywords
- sewage treatment
- treatment system
- sensor
- abnormality
- detection
- 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
- 239000010865 sewage Substances 0.000 title claims abstract description 82
- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 230000005856 abnormality Effects 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000003745 diagnosis Methods 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 27
- 238000012545 processing Methods 0.000 claims abstract description 17
- 230000005540 biological transmission Effects 0.000 claims description 11
- 238000001914 filtration Methods 0.000 claims description 7
- 238000012706 support-vector machine Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 2
- 230000035945 sensitivity Effects 0.000 description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 8
- 238000012423 maintenance Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 239000003344 environmental pollutant Substances 0.000 description 3
- 231100000719 pollutant Toxicity 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 230000026676 system process Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000009347 mechanical transmission Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000004065 wastewater treatment Methods 0.000 description 1
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
- 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
- G01M99/008—Subject matter not provided for in other groups of this subclass by doing functionality tests
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/1806—Biological oxygen demand [BOD] or chemical oxygen demand [COD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Biomedical Technology (AREA)
- Emergency Medicine (AREA)
- Molecular Biology (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a sewage treatment system abnormality diagnosis method based on sensor self-detection, and belongs to the technical field of sewage treatment system abnormality diagnosis. Step 1: arranging sensors at a plurality of sites of the sewage treatment system for collecting sewage information at the plurality of sites; step 2: collecting sensor information in a sewage treatment system; step 3: processing the acquired sensor information; step 4: and analyzing the processed sensor information to judge whether the sewage treatment system is abnormal or not and the type of the abnormality. The invention can improve the operation efficiency and the operation stability of the sewage treatment system.
Description
Technical Field
The invention relates to the technical field of abnormality diagnosis of sewage treatment systems, in particular to a sewage treatment system abnormality diagnosis method based on sensor self-detection.
Background
The sewage treatment system plays an important role for the environment, and the normal operation of the sewage treatment system directly affects the life of people.
The sewage treatment system has the characteristics of large occupied area, various abnormal types and the like, and the working state of the sewage treatment plant can not be separated from the normal work of various sensors in the sewage. At present, for a complex large-scale sewage treatment system, the abnormality diagnosis is time-consuming and labor-consuming, and the sensitivity of the sensor in the sewage is affected because pollutants in the sewage are attached to the surface of the sensor, so that the monitoring and maintenance efficiency of the sewage system cannot be ensured, and the traditional sensor self-detection method mainly judges whether the sensor works normally or not by using an electric signal and is not suitable for the sensor in the sewage.
Therefore, how to provide a sewage treatment system diagnosis technology capable of carrying out self-detection on the sensor is of great significance to the normal operation and maintenance of the sewage treatment system.
Disclosure of Invention
In view of the above, the invention provides a sewage treatment system abnormality diagnosis method based on sensor self-detection, by which the monitoring and maintenance efficiency of the sewage system can be improved.
In order to achieve the above object, the present invention provides the following technical solutions:
the sewage treatment system abnormality diagnosis method based on the sensor self-detection is based on a sewage treatment system and a control system, wherein the control system is provided with a motor and a matched transmission device, and comprises the following steps:
step 1: arranging sensors at a plurality of sites of the sewage treatment system for collecting sewage information at the plurality of sites;
step 2: collecting sensor information in a sewage treatment system;
step 3: processing the acquired sensor information;
step 4: and analyzing the processed sensor information to judge whether the sewage treatment system is abnormal or not and the type of the abnormality.
Preferably, in the first step, a plurality of sites respectively adopt different types of sensors, and water outlets and water inlets of all links of the sewage treatment system collect data of a plurality of sewage treatment systems.
Preferably, the method further comprises: step 5: and when the abnormality exists, performing response early warning according to a preset event state processing rule.
Preferably, in the step 2, the method includes:
step 2.1: a motor and a matched transmission device are arranged at the adjacent positions of a plurality of positions of the sensor arrangement of the sewage treatment system, and the sensor of the position arrangement to be detected of the sewage treatment system is moved to a sensor detection platform by controlling the motor and the matched transmission device through a control system;
preferably, the operator starts to execute the sensor sensitivity detection command by operating the sensor sensitivity detection module of the control system;
preferably, the control system sends a signal to the motor, and the motor drives the matched mechanical transmission structure to move the sensor to the detection platform;
step 2.2: transmitting the data acquired by the sensor on the detection platform and the standard data provided by the detection platform back to the control system;
preferably, the detection platform detects by providing the sensor with a standard sample, the sensor transmits the measured data and the detection platform transmits the data of the standard sample back to the control system;
preferably, the step 3 includes: the collected sensor information is processed, including filtering and integration processing, so as to eliminate the influence caused by fine interference and delay.
Preferably, the control system processes the acquired sensor data by a Kalman filtering method to eliminate the influence of interference.
Preferably, the step 4 includes: the data collected by the sensor and the data of the detection platform are comprehensively processed in the control system, the sensor sampling data are compared with standard sample parameters, whether the sensor works normally is judged, if yes, fault recording is carried out, meanwhile, early warning prompt is carried out through the alarm system, and if not, the control system controls the motor and the transmission device to move the sensor to the detection position.
Preferably, the method further comprises: the sensor is connected to the control system by wire or wirelessly.
Preferably, the control system is used for controlling the motor to drive the transmission device to move the sensor position, a specific environment with known data such as COD value, pH value and the like is provided for sensor sensitivity test, a set of control system is used for controlling the self-detection of the sensors in a plurality of sewage in the sewage treatment plant, if the sensitivity of the sensors is abnormal, the alarm system is used for sending abnormal operation of the sensors, the sensors transmit data and sampling time to the control system, and the control system eliminates time delay by integrating the data.
Preferably, the step 4 of determining whether the sewage treatment system is abnormal and the type of the abnormality includes: and analyzing the obtained data through a support vector machine, a threshold value and a neural network algorithm, and judging whether the sewage treatment system is abnormal or not and the type of the abnormality.
Preferably, the control system judges through an algorithm that the abnormal situation occurs, and then carries out corresponding early warning and alarming measures according to a preset event state processing rule, and simultaneously operates according to a preset event state action; the alarm can send short messages to related personnel through the communication system according to the abnormal data and the abnormal type judged by the algorithm.
Compared with the prior art, the invention discloses a sewage treatment system abnormality diagnosis method based on sensor self-detection, and improves the operation efficiency and operation stability of the sewage treatment system. The method has the specific beneficial effects that:
(1) By arranging a plurality of sensors to collect various data of water inlets of various water outlets of the sewage treatment plant, whether faults occur or not and the links and types of faults are primarily judged through an algorithm, and related personnel can be reminded.
(2) The sensor electric signal detection method can solve the problem that the sensor electric signal detection method cannot detect the influence of pollutants on the sensor, and the automatic device is used for completing self-detection, so that remote control is realized.
(3) Remote monitoring and remote fault diagnosis of the sewage treatment plant can be realized, and the sensor fault can be detected by performing sensitivity self-detection on the sensor, so that the efficiency is improved for the maintenance of the sewage treatment system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an abnormality diagnosis method of a sewage treatment system based on sensor detection in the present embodiment;
FIG. 2 is a schematic diagram showing the structural relationship between the control system and the sensor in the sewage according to the present embodiment;
fig. 3 is a schematic diagram of a sensor self-detection process according to the present embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment discloses a sewage treatment system abnormality diagnosis method based on sensor self-detection, which is based on a sewage treatment system and a control system and comprises the following steps:
step 1: arranging sensors at a plurality of sites of the sewage treatment system for collecting sewage information at the plurality of sites;
step 2: collecting sensor information in a sewage treatment system;
step 3: processing the acquired sensor information;
step 4: and analyzing the processed sensor information to judge whether the sewage treatment system is abnormal or not and the type of the abnormality.
Step 5: and when the abnormality exists, performing response early warning according to a preset event state processing rule. Specifically, in the first step, a plurality of sites respectively adopt different kinds of sensors, water outlets and water inlets of all links of the sewage treatment system, and data of a plurality of sewage treatment systems are collected.
In a specific embodiment, as described with reference to fig. 1, the present embodiment shows a sensor 1, a sensor 2, a sensor 3, and a sensor 4, and collects 4 pieces of sensor information; the filtering and integrating unit is used for filtering and integrating the data, and the control system is used for analyzing the processed data according to a trained support vector machine algorithm to judge whether the sewage treatment system is abnormal or not and the type of the abnormality; transmitting the abnormal type and data judged by the control system to a communication system, and informing related personnel by the communication system through a short message;
specifically, in the first step, a plurality of sites respectively adopt different kinds of sensors, water outlets and water inlets of all links of the sewage treatment system, and data of a plurality of sewage treatment systems are collected.
In a specific embodiment, the method further includes sensor self-detection after the step 1, and specific structures and flows are shown in fig. 2-3, specifically:
the sensor control system controls the motor to drive the transmission device, and the sensor is moved to the detection platform;
the control system starts to collect signals of the sensor and data signals of the detection platform through the signal collection interface and transmits the signals and the data signals to the signal processing unit of the control system;
the detection platform provides a specific environment for the sensor to detect, and transmits data detected by the sensor and data of the specific environment back to the control system;
the signal processing unit in the control system processes and compares the acquired sensor signals with the data signals of the detection platform, and judges the sensitivity of the sensor;
specifically, if the detection result is normal, the signal processing unit transmits the result to the control unit, and the control unit drives the motor and the matched transmission device to move the sensor back to the sewage detection position;
specifically, if the judgment is abnormal, the signal processing unit transmits the result to the control unit, and the control unit drives the alarm system to inform related personnel to maintain the sensor;
specifically, through the technical scheme, the data acquired by the sensor and the data of the detection platform are comprehensively processed in the control system, and whether the sensor works normally or not is judged through an algorithm in the control system, so that the running stability of the sewage treatment system is improved.
In a specific embodiment, the method further comprises: the sensor is connected to the control system by wire or wirelessly.
In a specific embodiment, a control system is used for controlling a motor to drive a transmission device to move the position of a sensor, a specific environment with known data such as COD value, pH value and the like is provided for sensor sensitivity test, a set of control system is used for controlling the self-detection of a plurality of sensors in sewage in a sewage treatment plant, if the sensitivity of the sensors is abnormal, abnormal operation of the sensors is sent through an alarm system, the sensors transmit data and sampling time to the control system, and the control system eliminates time delay by integrating the data.
In one embodiment, the processing of the collected data in step 3 includes filtering and integrating to eliminate the effects of the fine interference and delay.
In a specific embodiment, the control system processes the acquired sensor data by a Kalman filtering method to eliminate the influence of interference.
In one embodiment, step 4: analyzing the processed data to determine whether an abnormality has occurred in the wastewater treatment system, the abnormality type including: and analyzing the obtained data through a support vector machine, a threshold value and a neural network algorithm, and judging whether the sewage treatment system is abnormal or not and the type of the abnormality.
In a specific embodiment, the control system judges through an algorithm that the abnormal situation occurs, and then performs corresponding early warning and alarming measures according to a preset event state processing rule, and simultaneously operates according to a preset event state action; the alarm can send short messages to related personnel through the communication system according to the abnormal data and the abnormal type judged by the algorithm.
Through the technical scheme, the monitoring and alarming of the sewage treatment system can be realized, the problem that the sensor cannot be detected by the sensor electric signal detection method, the influence of pollutants on the sensor can be solved, the self-detection is finished through the automatic device, the remote control can be realized, and the efficiency is improved for the maintenance of the sewage treatment system.
The invention has the advantage that the detection of the sensitivity of the sensor is included, so that whether the sewage system itself is abnormal or the detection system is abnormal can be determined.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. The sewage treatment system abnormality diagnosis method based on the sensor self-detection is based on a sewage treatment system and a control system, and is characterized by comprising the following steps:
step 1: arranging sensors at a plurality of sites of the sewage treatment system for collecting sewage information at the plurality of sites;
step 2: collecting sensor information in a sewage treatment system;
step 3: processing the acquired sensor information;
step 4: and analyzing the processed sensor information to judge whether the sewage treatment system is abnormal or not and the type of the abnormality.
2. The method for diagnosing an abnormality in a sewage treatment system based on self-detection by a sensor as claimed in claim 1, further comprising:
step 5: and when the abnormality exists, performing response early warning according to a preset event state processing rule.
3. The method for diagnosing an abnormality of a sewage treatment system based on self-detection of claim 1, wherein said step 2 comprises:
step 2.1: a motor and a matched transmission device are arranged at the adjacent positions of a plurality of positions of the sensor arrangement of the sewage treatment system, and the sensor of the position arrangement to be detected of the sewage treatment system is moved to a sensor detection platform by controlling the motor and the matched transmission device through a control system;
step 2.2: the detection platform transmits the acquired sensor information and standard data provided by the detection platform back to the control system.
4. The method for diagnosing an abnormality of a sewage treatment system based on self-detection of claim 1, wherein said step 3 comprises: the processing of the acquired sensor information includes filtering and integration processing.
5. The method for diagnosing an abnormality of a sewage treatment system based on self-detection of claim 1, wherein said step 4 comprises: judging and analyzing the processed sensor information through the control system, judging whether the sewage treatment system is abnormal and the abnormal type, if so, judging the abnormal type, recording faults, and carrying out early warning prompt through the alarm system, and if not, controlling the motor and the transmission device to move the sensor to the detection position.
6. The method for diagnosing an abnormality of a sewage treatment system according to claim 5, wherein said step 4 of determining whether an abnormality and an abnormality type of the sewage treatment system occur comprises: and analyzing the obtained data through a support vector machine, a threshold value and a neural network algorithm, and judging whether the sewage treatment system is abnormal or not and the type of the abnormality.
7. The method for diagnosing an abnormality in a sewage treatment system based on self-detection by a sensor as claimed in claim 1, further comprising: the sensor is connected to the control system by wire or wirelessly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310606615.8A CN116678653A (en) | 2023-05-26 | 2023-05-26 | Sewage treatment system abnormality diagnosis method based on sensor self-detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310606615.8A CN116678653A (en) | 2023-05-26 | 2023-05-26 | Sewage treatment system abnormality diagnosis method based on sensor self-detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116678653A true CN116678653A (en) | 2023-09-01 |
Family
ID=87786483
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310606615.8A Pending CN116678653A (en) | 2023-05-26 | 2023-05-26 | Sewage treatment system abnormality diagnosis method based on sensor self-detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116678653A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106094792A (en) * | 2016-06-20 | 2016-11-09 | 长沙威保特环保科技股份有限公司 | Fault self-diagnosis method and device for sewage disposal system |
| KR101819416B1 (en) * | 2017-03-28 | 2018-01-17 | 손창식 | Intelligent water quality measurement apparatus with self diagnosis function each water quality measurement sensor , and water quality measurement sensor self diagnosis method |
| CN107848838A (en) * | 2015-07-08 | 2018-03-27 | 加州理工学院 | For the maintenance self diagnosis of self-sustaining Waste Water Treatment and guiding |
| CN110252712A (en) * | 2019-06-05 | 2019-09-20 | 浙江工业大学 | The device for cleaning and demarcating for water quality detection sensor |
| CN115169479A (en) * | 2022-07-20 | 2022-10-11 | 北京航空航天大学杭州创新研究院 | Remote monitoring method, system and storage medium for sewage treatment process |
-
2023
- 2023-05-26 CN CN202310606615.8A patent/CN116678653A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107848838A (en) * | 2015-07-08 | 2018-03-27 | 加州理工学院 | For the maintenance self diagnosis of self-sustaining Waste Water Treatment and guiding |
| CN106094792A (en) * | 2016-06-20 | 2016-11-09 | 长沙威保特环保科技股份有限公司 | Fault self-diagnosis method and device for sewage disposal system |
| KR101819416B1 (en) * | 2017-03-28 | 2018-01-17 | 손창식 | Intelligent water quality measurement apparatus with self diagnosis function each water quality measurement sensor , and water quality measurement sensor self diagnosis method |
| CN110252712A (en) * | 2019-06-05 | 2019-09-20 | 浙江工业大学 | The device for cleaning and demarcating for water quality detection sensor |
| CN115169479A (en) * | 2022-07-20 | 2022-10-11 | 北京航空航天大学杭州创新研究院 | Remote monitoring method, system and storage medium for sewage treatment process |
Non-Patent Citations (1)
| Title |
|---|
| 宗峰;: "基于无线传感器网络的污水监测系统设计", 中国沼气, no. 06, pages 40 - 45 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN206115248U (en) | Numerical control fault diagnostic based on internet | |
| CN107345857A (en) | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method | |
| CN108444708A (en) | The method for building up of rolling bearing intelligent diagnostics model based on convolutional neural networks | |
| CN109396954B (en) | Embedded axis system abnormality intelligent measurement and information push-delivery apparatus | |
| JP4872379B2 (en) | Elevator abnormality detection device and elevator abnormality detection method | |
| CN106354123A (en) | System for automatically detecting faults of large-scale mechanical equipment based on internet of things | |
| CN111336100A (en) | Water pump fault diagnosis system | |
| CN107902515A (en) | A kind of traction and forcibly driving elevator real time on-line safety monitoring system and its implementation | |
| CN110015601B (en) | Remote control system and method for analyzing elevator fault reason | |
| CN113063611A (en) | Equipment monitoring management method and system | |
| CN113277396B (en) | Elevator health state monitoring method, device and early warning system | |
| CN103422525B (en) | The intelligent fault diagnosis surveillance of underground carry scraper | |
| CN116678653A (en) | Sewage treatment system abnormality diagnosis method based on sensor self-detection | |
| CN109188283A (en) | A kind of electromechanical equipment fault location and alarm protecting apparatus | |
| CN108445325B (en) | Power failure diagnosis system | |
| CN114993461B (en) | System and method for detecting vibration of motor of tower crane mechanism | |
| CN108981625A (en) | A kind of vehicle-mounted pantograph monitoring system of monorail train and monitoring method | |
| CN114944165A (en) | Mine belt fault diagnosis system based on audio analysis technology | |
| CN220586466U (en) | 5G micro base station maintenance system | |
| CN217354862U (en) | Main fan monitoring and diagnosis system | |
| CN105116813B (en) | A kind of fault diagnosis system | |
| KR100384637B1 (en) | Wireless defect diagnosing apparatus in over head crane | |
| CN106394563A (en) | Intelligent vehicle control system | |
| CN217398149U (en) | Equipment for monitoring and early warning of elevator operation | |
| CN218507347U (en) | Hauler monitoring devices based on vibrations gesture data |
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 |