CN115963791A - Intelligent safety production control system - Google Patents
Intelligent safety production control system Download PDFInfo
- Publication number
- CN115963791A CN115963791A CN202211662836.9A CN202211662836A CN115963791A CN 115963791 A CN115963791 A CN 115963791A CN 202211662836 A CN202211662836 A CN 202211662836A CN 115963791 A CN115963791 A CN 115963791A
- Authority
- CN
- China
- Prior art keywords
- module
- field safety
- data
- state
- locking
- 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.)
- Withdrawn
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 46
- 238000012544 monitoring process Methods 0.000 claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 238000010586 diagram Methods 0.000 claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000005192 partition Methods 0.000 claims description 12
- 238000012800 visualization Methods 0.000 claims 1
- 230000000007 visual effect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B9/00—Safety arrangements
- G05B9/02—Safety arrangements electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
- G05B2219/40201—Detect contact, collision with human
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Human Computer Interaction (AREA)
- Manufacturing & Machinery (AREA)
- Alarm Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses an intelligent safety production control system, which comprises: the data acquisition module is used for acquiring the operation data of the field safety module; the data processing module is used for processing the production information set obtained by the data acquisition module; the data analysis module is used for analyzing the running state of the field safety module according to the obtained state sequence diagram and generating corresponding early warning information according to the field analysis result; the control module generates a detection instruction according to the received early warning information and sends the detection instruction to the electric system, and the electric system detects the field safety module according to the received detection instruction. By adopting the technical scheme of the invention, the safety operation monitoring is realized.
Description
Technical Field
The invention belongs to the technical field of safety production, and particularly relates to an intelligent safety production control system.
Background
With the rapid development of the informatization automation of the manufacturing industry, the modern production line is developed towards high speed, high quality, automation and flexibility. The production mode of manual operation and manual feeding of the traditional production line cannot meet the requirements of the industry;
as a field safety module for monitoring and guaranteeing the safe production of a production line, such as emergency stop, optical grating, area scanning, safety switch and the like, whether the running state is normal or not determines whether the production line can guarantee the safety of operators in case of danger or not, once the field safety module is abnormal and cannot be found in time, great hidden danger can be caused to the safety of the operators in case of illegal or dangerous operation, and how to effectively monitor the running state of the field safety module is a problem to be solved.
Disclosure of Invention
The invention aims to provide an intelligent safe production control system to realize safe operation monitoring.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent safety production control system comprising: the device comprises a control module, a data acquisition module, a data processing module and a data analysis module; wherein;
the data acquisition module is used for acquiring the operation data of the field safety module;
the data processing module is used for processing the production information set obtained by the data acquisition module;
the data analysis module is used for analyzing the running state of the field safety module according to the obtained state sequence diagram and generating corresponding early warning information according to the field analysis result;
the control module generates a detection instruction according to the received early warning information and sends the detection instruction to the electric system, and the electric system detects the field safety module according to the received detection instruction.
Preferably, the method further comprises the following steps: and the image monitoring module is used for monitoring personnel images and outputting the personnel images to the control module.
Preferably, the method further comprises the following steps: the infrared monitoring module is used for monitoring the infrared images of the personnel and outputting the infrared images of the personnel to the control module.
Preferably, the method further comprises the following steps: and the skin monitoring module is used for monitoring whether skin is contacted, if the skin is contacted, the skin monitoring module outputs a contact signal to the control module, and if the skin is not contacted, the skin monitoring module outputs a non-contact signal to the control module.
Preferably, the method further comprises the following steps: the locking module is used for calculating an area difference if the personnel image area is larger than the personnel infrared image area, outputting a locking signal to the locking module if the area difference exceeds a preset threshold value, and locking the operating area by the locking module; if the control module presets the operation standard to be non-skin operation and receives the contact signal output by the skin monitoring module, the control module outputs a locking signal to the locking module, and the locking module locks the operation area; if the control module presets the operation standard to be skin contact operation and receives the non-contact signal output by the skin monitoring module, the control module outputs a locking signal to the locking module, and the locking module locks the operation area.
Preferably, the process of analyzing the operation state of the field safety module by the data analysis module includes:
acquiring the running states of the field safety modules corresponding to the state sequence diagram within the partition time T, wherein when the running states of the field safety modules within the partition time T are only one, the running state of the field safety modules is the running state;
when the running state of the field safety module corresponding to the state sequence diagram within the partition time T is more than one, marking the running state of the field safety module according to the time sequence, acquiring the running weight bias coefficient of the field safety module according to the duration of the marked running state of the field safety module within the partition time T, and judging the running state of the field safety module according to the acquired running weight bias coefficient;
and generating foolproof early warning information when the running state of the field safety module is a non-running state, and generating abnormal early warning information when the running state of the field safety module is an abnormal state.
Preferably, the process of acquiring the operation data of the field safety module by the data acquisition module includes:
according to actual requirements, setting a data acquisition terminal at a corresponding node of a production line, and connecting the data acquisition terminal with a field safety module of the corresponding node;
acquiring the running states of the field safety module through a data acquisition terminal, wherein the running states comprise a normal state, an abnormal state and an unused state;
and generating a production information set according to the running state of the field safety module acquired by the data acquisition terminal.
Preferably, the processing of the obtained production information set by the data processing module includes:
performing data identification on the obtained production information set, namely:
reading related field safety modules in the production information set, marking each field safety module, and generating a corresponding status bar according to the marked field safety modules;
generating a data interval according to each status bar, linking the data interval with the corresponding status bar, and importing the operating state corresponding to the field safety module corresponding to each status bar into the corresponding data interval; and performing visual processing on the operation state data of the field safety module in each data interval.
According to the technical scheme, the operation state of the on-site safety modules on the production line is detected through the data acquisition terminal, so that the operation state of each on-site safety module is analyzed, the situation that the on-site safety modules are abnormal in operation and cannot effectively monitor the production safety on the production line is avoided, the operation state of the on-site safety modules is visually processed, the state of the on-site safety modules can be rapidly known, interval time is set, and when multiple operation states occur in the interval time, the operation state of the on-site safety modules is determined by obtaining the operation bias weight coefficient of the on-site safety modules, and the situation of misjudgment is avoided; further, whether the operator is wearing a proper work clothes or not is judged by checking the infrared image and the actual image of the operator, so that the wide work clothes are prevented from being rolled into a machine; judging whether the operator presses the operation standard or not by checking whether the correct touch mode is used when the operator operates the operation area; if the operation standard is not met, locking the operation area; the slave operators are identified, and the operation area is locked when the operators without authority operate, so that misoperation of other operators is avoided.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent safety production control system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a skin monitoring module according to an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example 1:
as shown in fig. 1, an embodiment of the present invention provides an intelligent safety production control system, including: the device comprises a control module, a data acquisition module, a data processing module and a data analysis module; wherein;
the data acquisition module is used for acquiring the operation data of the field safety module;
the data processing module is used for processing the production information set obtained by the data acquisition module;
the data analysis module is used for analyzing the running state of the field safety module according to the obtained state sequence diagram and generating corresponding early warning information according to the field analysis result;
the control module generates a detection instruction according to the received early warning information and sends the detection instruction to the electric system, and the electric system detects the field safety module according to the received detection instruction.
As an implementation manner of this embodiment, the method further includes: and the image monitoring module is used for monitoring personnel images and outputting the personnel images to the control module.
As an implementation manner of this embodiment, the method further includes: the infrared monitoring module is used for monitoring the infrared images of the personnel and outputting the infrared images of the personnel to the control module.
As an implementation manner of this embodiment, the method further includes: the skin monitoring module is used for monitoring whether skin contact exists or not, if the skin contact exists, the skin monitoring module outputs a contact signal to the control module, and if the skin contact does not exist, the skin monitoring module outputs a non-contact signal to the control module.
As an implementation manner of this embodiment, the method further includes: and the locking module is used for calculating an area difference if the personnel image area is larger than the personnel infrared image area, outputting a locking signal to the locking module if the area difference exceeds a preset threshold value, and locking the operation area by the locking module. The control module calculates the area of the personnel image and calculates the area of the infrared image of the personnel. As an implementation manner of this embodiment, the control module compares the person image with the infrared image of the person in real time, performs overlap comparison on the person image and the infrared image of the person at the same time, and calculates the area of the non-overlapping portion of the person image and the infrared image of the person. The preset threshold may be set according to a ratio of an area of the person image to an area of the non-overlapping portion, and if the area of the non-overlapping portion is 50% larger than the area of the person image, a ratio of a width of the clothes is 50%.
The locking module locks the operation area according to the locking signal, and specifically, the locking module locks a button or an operation handle of the operation area and other operation devices to limit the operation of an operator on the operation area. As an embodiment of this embodiment, the locking module may also be a cover that restricts operation of the operation area, and if the locking module is locked, the cover is locked, so that the operator cannot operate the operation area through the cover, and after the locking module is unlocked, the cover is unlocked, so that the operator can operate the device through the operation area. As an embodiment of this embodiment, the locking module may be locked in a manner that the operation of the operator with the device in the operation area is disabled during the locking period, and the operation of the operator on the operation area is enabled only after the locking module is unlocked.
The skin monitoring module is used for monitoring whether an operator uses skin contact when operating the operation area, if the operator uses the skin contact, the skin monitoring module outputs a contact signal to the control module, and if the operator uses non-skin contact, the skin monitoring module outputs a non-contact signal to the control module. The skin monitoring module can detect whether skin contact is achieved by monitoring the temperature of the skin, and as another implementation mode, the skin monitoring module can judge whether skin contact is achieved by monitoring whether fingerprints, palm prints and the like exist on the contact surface.
As an implementation manner of this embodiment, as shown in fig. 2, the skin monitoring module includes a pressure sensing unit and a micro-current sensing unit, and both the pressure sensing unit and the micro-current sensing unit are disposed in the operation area. The pressure sensing unit is used for monitoring whether the operation area receives pressure, and if the pressure exists, the contact can be judged. The micro-current sensing unit is used for monitoring whether the skin is in contact with the operation area. The skin monitoring module comprises a pressure sensing unit and a micro-current sensing unit, wherein the pressure sensing unit is used for sensing the operation of an operator on the operation area, the pressure sensing unit senses the pressure applied to the operation area from the operator, and the position where the pressure is applied is the operation position of the operator in the operation area. As an implementation manner of this embodiment, the pressure sensing unit may further detect a pressure applied by the operator to the operation position of the operation area, determine a specific operation unit operated by the operator, and close the operation unit when the operation unit does not meet the operation specification.
As an implementation manner of this embodiment, the process of analyzing the operation state of the field safety module by the data analysis module includes:
acquiring the running states of the field safety modules corresponding to the state sequence diagram within the partition time T, wherein when the running states of the field safety modules within the partition time T are only one, the running state of the field safety modules is the running state;
when the running state of the field safety module corresponding to the state sequence diagram in the partition time T is more than one, marking the running state of the field safety module according to the time sequence, acquiring the running weight bias coefficient of the field safety module according to the duration of the marked running state of the field safety module in the partition time T, and judging the running state of the field safety module according to the acquired running weight bias coefficient;
and generating foolproof early warning information when the running state of the field safety module is a non-running state, and generating abnormal early warning information when the running state of the field safety module is an abnormal state.
As an implementation manner of this embodiment, the process of acquiring, by the data acquisition module, the operation data of the field security module includes:
according to actual requirements, setting a data acquisition terminal at a corresponding node of a production line, and connecting the data acquisition terminal with a field safety module of the corresponding node;
acquiring the running states of the field safety module through a data acquisition terminal, wherein the running states comprise a normal state, an abnormal state and an unused state;
and generating a production information set according to the running state of the field safety module acquired by the data acquisition terminal.
As an implementation manner of this embodiment, the processing, by the data processing module, the obtained production information set includes:
performing data identification on the obtained production information set, namely:
reading related field safety modules in the production information set, marking each field safety module, and generating a corresponding status bar according to the marked field safety modules;
generating a data interval according to each status bar, linking the data interval with the corresponding status bar, and importing the operating state corresponding to the field safety module corresponding to each status bar into the corresponding data interval; and performing visual processing on the operation state data of the field safety module in each data interval.
As an implementation manner of this embodiment, the process of detecting the field security module includes:
establishing a safety module distribution diagram according to the distribution condition of the field safety modules;
establishing a status bar for each field safety module, and displaying the status bars differently according to the set status of the field safety modules, wherein the normal status corresponds to green, the abnormal status corresponds to red, and the non-running status corresponds to gray;
when fool-proof early warning information is received, whether a status bar of a corresponding field safety module in a safety module distribution diagram is gray or not is obtained, if the status bar is gray, no operation is conducted, and if the status bar is not gray, a detection current is generated, and the field safety module is detected through the detection current;
and when the abnormal early warning information is received, whether the status bar of the corresponding field safety module in the safety module distribution diagram is red is obtained, if the status bar is red, no operation is performed, and if the status bar is not red, a detection current is generated, and the field safety module is detected through the detection current.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention shall be covered within the scope of the present invention, and therefore, the scope of the present invention shall be subject to the scope of the claims.
Claims (8)
1. An intelligent safety production control system, comprising: the device comprises a control module, a data acquisition module, a data processing module and a data analysis module; wherein;
the data acquisition module is used for acquiring the operation data of the field safety module;
the data processing module is used for processing the production information set obtained by the data acquisition module;
the data analysis module is used for analyzing the running state of the field safety module according to the obtained state sequence diagram and generating corresponding early warning information according to the field analysis result;
the control module generates a detection instruction according to the received early warning information and sends the detection instruction to the electric system, and the electric system detects the field safety module according to the received detection instruction.
2. The intelligent secure production control system of claim 1, further comprising: and the image monitoring module is used for monitoring the personnel image and outputting the personnel image to the control module.
3. The intelligent secure production control system of claim 2, further comprising: and the infrared monitoring module is used for monitoring the infrared images of the personnel and outputting the infrared images of the personnel to the control module.
4. The intelligent secure production control system of claim 3, further comprising: the skin monitoring module is used for monitoring whether skin contact exists or not, if the skin contact exists, the skin monitoring module outputs a contact signal to the control module, and if the skin contact does not exist, the skin monitoring module outputs a non-contact signal to the control module.
5. The intelligent secure production control system of claim 4, further comprising: the locking module is used for calculating an area difference if the personnel image area is larger than the personnel infrared image area, outputting a locking signal to the locking module if the area difference exceeds a preset threshold value, and locking the operating area by the locking module; if the control module presets the operation standard to be non-skin operation and receives the contact signal output by the skin monitoring module, the control module outputs a locking signal to the locking module, and the locking module locks the operation area; if the control module presets the operation standard to be skin contact operation and receives the non-contact signal output by the skin monitoring module, the control module outputs a locking signal to the locking module, and the locking module locks the operation area.
6. The intelligent safety production control system according to claim 5, wherein the process of analyzing the operation state of the field safety module by the data analysis module comprises:
acquiring the running states of the field safety modules corresponding to the state sequence diagram within the partition time T, wherein when the running states of the field safety modules within the partition time T are only one, the running state of the field safety modules is the running state;
when the running state of the field safety module corresponding to the state sequence diagram in the partition time T is more than one, marking the running state of the field safety module according to the time sequence, acquiring the running weight bias coefficient of the field safety module according to the duration of the marked running state of the field safety module in the partition time T, and judging the running state of the field safety module according to the acquired running weight bias coefficient;
and generating foolproof early warning information when the running state of the field safety module is a non-running state, and generating abnormal early warning information when the running state of the field safety module is an abnormal state.
7. The intelligent safe production control system of claim 6,
the process of acquiring the operation data of the field safety module by the data acquisition module comprises the following steps:
according to actual requirements, setting a data acquisition terminal at a corresponding node of a production line, and connecting the data acquisition terminal with a field safety module of the corresponding node;
acquiring the running states of the field safety module through a data acquisition terminal, wherein the running states comprise a normal state, an abnormal state and an unused state;
and generating a production information set according to the running state of the field safety module acquired by the data acquisition terminal.
8. The intelligent safety production control system according to claim 7, wherein the processing of the obtained production information set by the data processing module comprises:
performing data identification on the obtained production information set, namely:
reading related field safety modules in the production information set, marking each field safety module, and generating a corresponding status bar according to the marked field safety modules;
generating a data interval according to each status bar, linking the data interval with the corresponding status bar, and importing the operating state corresponding to the field safety module corresponding to each status bar into the corresponding data interval; and performing visualization processing on the operation state data of the field safety module in each data interval.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211662836.9A CN115963791A (en) | 2022-12-23 | 2022-12-23 | Intelligent safety production control system |
| NL2034537A NL2034537A (en) | 2022-12-23 | 2023-04-11 | Intelligent safety production control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211662836.9A CN115963791A (en) | 2022-12-23 | 2022-12-23 | Intelligent safety production control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115963791A true CN115963791A (en) | 2023-04-14 |
Family
ID=87352427
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211662836.9A Withdrawn CN115963791A (en) | 2022-12-23 | 2022-12-23 | Intelligent safety production control system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN115963791A (en) |
| NL (1) | NL2034537A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148802A (en) * | 2023-10-27 | 2023-12-01 | 广州汇通国信科技有限公司 | Unmanned workshop intelligent supervision system of power plant based on artificial intelligence |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102011109381A1 (en) * | 2011-08-04 | 2013-02-07 | Phoenix Contact Gmbh & Co. Kg | Emergency stop switching device for safety-related application in automation equipment, robots, motors, or other devices, has locking and unlocking device, where biometric sensor is provided, with which logic unit is connected |
| US10509390B2 (en) * | 2015-02-12 | 2019-12-17 | Glowforge Inc. | Safety and reliability guarantees for laser fabrication |
| US11675329B2 (en) * | 2021-06-21 | 2023-06-13 | Rockwell Automation Technologies, Inc. | Functional safety system using three dimensional sensing and dynamic digital twin |
| CN114755994B (en) * | 2022-06-15 | 2022-09-02 | 青岛宇方机器人工业股份有限公司 | Electrical and safety control system of intelligent workshop production line |
-
2022
- 2022-12-23 CN CN202211662836.9A patent/CN115963791A/en not_active Withdrawn
-
2023
- 2023-04-11 NL NL2034537A patent/NL2034537A/en unknown
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117148802A (en) * | 2023-10-27 | 2023-12-01 | 广州汇通国信科技有限公司 | Unmanned workshop intelligent supervision system of power plant based on artificial intelligence |
| CN117148802B (en) * | 2023-10-27 | 2024-03-22 | 广州汇通国信科技有限公司 | Unmanned workshop intelligent supervision system of power plant based on artificial intelligence |
Also Published As
| Publication number | Publication date |
|---|---|
| NL2034537A (en) | 2024-07-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115963791A (en) | Intelligent safety production control system | |
| CN114755994B (en) | Electrical and safety control system of intelligent workshop production line | |
| US20230076969A1 (en) | Industrial equipment and device monitoring-alarm system, and method therefor | |
| CN104155959A (en) | Unattended comprehensive monitoring system for transformer substation | |
| WO2005085792A1 (en) | Method and apparatus for assessing condition of motor-driven mechanical system | |
| CN111652185A (en) | Safety construction method, system, device and storage medium based on violation behavior recognition | |
| CN104626492B (en) | A kind of injection molding monitor and detection system and operating method based on machine vision | |
| CN108604084A (en) | Method and apparatus for data processing and transmission in the theft-resistant link chain of safety system of monitoring and controlling | |
| CN113075438B (en) | Electricity stealing detection method and device, electricity stealing prevention device and readable storage medium | |
| CN117607590A (en) | High-voltage switch cabinet fault early warning detection method | |
| CN114140819A (en) | Device and method for assisting safety management in power grid operation | |
| KR20140087968A (en) | Surveillance system for overheating state utilizing micro-size image array sensor | |
| CN116960753A (en) | Electric power screen cabinet | |
| CN215219769U (en) | Door lock monitoring system for protective door of wrapping machine | |
| CN115306692A (en) | Method and control device for temperature alarm of compressor | |
| CN114973481A (en) | Block-based monitoring management system for factory workshop production management | |
| CN104167074B (en) | Residual current type electrical fire regional type monitoring detector | |
| CN102829939A (en) | Circuit system, engineering machine and water inlet identification method | |
| CN112053526A (en) | Monitoring system and monitoring method | |
| CN113708484A (en) | Anti-misoperation unlocking management and control system and method for transformer substation equipment | |
| CN111382034A (en) | Computer fault alarm system | |
| CN110543830A (en) | motion detection method, motion detection device, and storage medium | |
| CN117576854B (en) | Automatic alarm method and system based on security and fire protection integration | |
| CN109374255B (en) | Vision-based real-time detection method for contactor fault in elevator control cabinet | |
| KR102380671B1 (en) | Thermal image abnormality detection method of industrial machinery using thermal image sensor |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20230414 |