CN110171757B - Elevator maintenance system based on Internet of things big data support - Google Patents
Elevator maintenance system based on Internet of things big data support Download PDFInfo
- Publication number
- CN110171757B CN110171757B CN201910489113.5A CN201910489113A CN110171757B CN 110171757 B CN110171757 B CN 110171757B CN 201910489113 A CN201910489113 A CN 201910489113A CN 110171757 B CN110171757 B CN 110171757B
- Authority
- CN
- China
- Prior art keywords
- module
- elevator
- information
- data
- elevator operation
- 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.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3461—Data transmission or communication within the control system between the elevator control system and remote or mobile stations
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0087—Devices facilitating maintenance, repair or inspection tasks
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention discloses an elevator maintenance system based on Internet of things big data support, which comprises an elevator operation parameter acquisition module, a behavior video data acquisition module, a voice alarm module, an intelligent terminal and a monitoring terminal, wherein the elevator operation parameter acquisition module, the behavior video data acquisition module, the voice alarm module, the intelligent terminal and the monitoring terminal are connected with a server through the Internet; the monitoring terminal is internally provided with a data processing module, an elevator operation safety evaluation module, an elevator operation condition forecasting module, a dangerous action judging module and an alarm level evaluation module. The elevator operation condition monitoring system realizes the comprehensive monitoring of the elevator operation condition, can obviously improve the safety of the elevator operation and use, carries out the dispatching of maintenance personnel based on the monitoring result and lightens the workload of the maintenance personnel to a certain extent.
Description
Technical Field
The invention relates to the field of ammoniacal nitrogen detection, in particular to an elevator maintenance system based on Internet of things big data support.
Background
The safety accidents of the elevator occur frequently, so that accidents causing casualties are frequent, and social public opinion attention is caused. Investigations have shown that, among the many factors that lead to elevator safety hazards, elevator manufacturing quality problems account for 16%, installation problems account for 24%, and maintenance and use problems up to 60%.
At present, the monitoring of the elevator is mostly realized by a mode of periodically detecting maintenance personnel, however, the installation number of the elevator is increased by more than 20% every year and is limited by the operation cost, the number of the elevator maintenance company and the maintenance personnel is increased by a very small range, so that the number of the elevators maintained by each maintenance personnel is increased year by year on average, and serious man-machine contradiction is generated; meanwhile, the result of artificial detection has a great relationship with the working experience of maintenance personnel, and the defect of large error exists to a certain extent, so that certain potential safety hazards of the elevator are brought.
There is also no system for effective monitoring of elevator usage.
Disclosure of Invention
In order to solve the problems, the invention provides an elevator maintenance system based on Internet of things big data support.
In order to achieve the purpose, the invention adopts the technical scheme that:
elevator maintenance system based on thing networking big data support includes elevator operating parameter acquisition module, action video data acquisition module, audio alert module, intelligent terminal and the monitor terminal that links to each other through internet and server, intelligent terminal adopts cell-phone APP, establishes:
the registration module is used for realizing the real-name registration of the elevator maintenance personnel;
the positioning module is used for realizing the acquisition of real-time positioning data of elevator maintenance personnel;
the alarm module is used for playing alarm information issued by the server;
the remote help seeking module is used for realizing communication with a corresponding expert through a video/voice call mode;
the maintenance record uploading module is used for registering and uploading the elevator maintenance record;
the monitoring terminal is internally provided with:
the data processing module is used for receiving the data sent by the elevator operation parameter acquisition module and the behavior video data acquisition module, marking the data by using the corresponding elevator information and sending the marked data to the elevator operation safety evaluation module, the elevator operation condition prediction module and the dangerous action judgment module;
the elevator operation safety evaluation module is used for finishing the evaluation of the current operation condition of the elevator based on the elevator operation parameter data through a preset algorithm and sending the evaluation result to the display screen for displaying;
the elevator operation condition forecasting module is used for establishing a short-term forecasting unit by adopting a statistical regression and data driving method and generating short-term elevator operation condition forecasting information based on the elevator operation parameter data;
the dangerous action judging module is used for acquiring human body depth information and skeleton information based on behavior video data through kinect depth sensor data, eliminating jitter and noise interference of the obtained skeleton information, acquiring angle rotation movement SO3 matrix information of all skeleton pairs, comparing the calculated angle rotation movement SO3 matrix information of the skeleton pairs with dangerous action standard posture information recorded in a dangerous action posture database, and if the difference is smaller than a certain threshold, determining that the posture information is true, otherwise, determining that the posture information is not true;
the alarm grade evaluation module is started when the evaluation result of the elevator operation safety evaluation module falls into a danger threshold, realizes the evaluation of the danger grade of the current elevator operation safety evaluation result based on a preset evaluation model, sends the evaluation result to the server and displays the evaluation result through the display screen; the server realizes the dispatch of the alarm information according to the danger level;
and the voice alarm module is arranged at each entrance of each elevator and is used for playing corresponding voice alarm audio according to the judgment result of the danger action judgment module.
Further, still be equipped with in the intelligent terminal:
and the in-station letter reminding module is used for reminding the maintenance personnel to check the in-station letter in time in a pop-up dialog box and voice broadcasting mode.
Furthermore, the elevator operation parameter acquisition module is used for acquiring elevator operation data, and the operation data comprises elevator identification information, elevator operation floor information, direction information, speed information, acceleration information, door state information, state information of whether passengers exist, state information of whether floors are leveled and state information of whether electricity exists.
Furthermore, the behavior data acquisition module acquires behavior video data through cameras arranged in the elevator entrance and the elevator.
Further, the monitoring terminal also comprises:
the elevator operation parameter acquisition module, the behavior video data acquisition module and the voice alarm module working condition access module are used for respectively accessing working condition data of the elevator operation parameter acquisition module, working condition data of the behavior video data acquisition module and working condition data of the voice alarm module;
the working condition evaluation module is used for realizing the evaluation of the working conditions of the elevator operation parameter acquisition module, the behavior video data acquisition module and the voice alarm module based on a preset BP neural network model;
and the automatic editing and sending module for the in-station message starts to realize the automatic editing of the in-station message when the evaluation result is abnormal, and sends the edited in-station message to the corresponding account.
Further, the evaluation results of the alarm level evaluation module are divided into highest-level danger, medium-level danger and general danger, when the evaluation results are the highest-level danger, the server realizes the dispatch of alarm information according to the principle of proximity, and feeds back the collected real-time positioning data of maintenance personnel to the monitoring terminal; when the evaluation result is a medium risk, the server firstly inquires the maintenance personnel who are working today and in idle period corresponding to the elevator, then the dispatching of the alarm information is realized according to the principle of proximity, and when the evaluation result is a general risk, the dispatching of the alarm information is realized according to the existing dispatching sequence.
Furthermore, an alarm information dispatching module is arranged in the server and used for realizing the dispatching of alarm information, and the alarm information at least comprises the current elevator model, the position, the fault type and the fault time.
Furthermore, a sign-in information input module is arranged in the server, and the input of the current working condition of maintenance personnel is realized through a card punching system of an external company;
furthermore, a database module is arranged in the server and used for storing the basic information, the operation parameter data, the fault data, the maintenance data and the maintenance record data of each elevator by taking the elevator as a folder name.
The invention has the following beneficial effects:
1) the elevator operation condition is comprehensively monitored, the safety of elevator operation and use can be obviously improved, maintenance personnel are dispatched based on the monitoring result, and the workload of the maintenance personnel is reduced to a certain extent.
2) The elevator running condition automatic acquisition and analysis is carried out based on the electronic system, so that the error of manual acquisition and analysis is avoided, and the running safety of the elevator is further improved.
3) The monitoring of the using behavior of the elevator is realized, the user can be reminded in a voice alarm mode when dangerous actions are found, and the using safety of the elevator is further improved.
4) The server is adopted to realize the unified management record of data such as the basic condition, the maintenance condition and the like of each elevator, and the calling and checking of the later data are facilitated.
Drawings
Fig. 1 is a system block diagram of an elevator maintenance system based on internet of things big data support in an embodiment of the invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an elevator maintenance system based on internet of things big data support, which includes an elevator operation parameter acquisition module, a behavior video data acquisition module, a voice alarm module, an intelligent terminal and a monitor terminal connected to a server through the internet, and is characterized in that: the intelligent terminal adopts a mobile phone APP and is internally provided with:
the registration module is used for realizing the real-name registration of the elevator maintenance personnel;
the positioning module is used for realizing the acquisition of real-time positioning data of elevator maintenance personnel;
the alarm module is used for playing alarm information issued by the server;
the remote help seeking module is used for realizing communication with a corresponding expert through a video/voice call mode;
the maintenance record uploading module is used for registering and uploading the elevator maintenance record;
the system comprises an in-station message reminding module, a service provider and a service provider, wherein the in-station message reminding module is used for reminding the service provider to check in-station messages in time in a form of pop-up dialog boxes and voice broadcast (you have new in-station messages and please pay attention to check and receive);
the monitoring terminal is internally provided with:
the data processing module is used for receiving the data sent by the elevator operation parameter acquisition module and the behavior video data acquisition module, marking the data by using the corresponding elevator information and sending the marked data to the elevator operation safety evaluation module, the elevator operation condition prediction module and the dangerous action judgment module;
the elevator operation safety evaluation module is used for finishing the evaluation of the current operation condition of the elevator based on the elevator operation parameter data through a preset algorithm and sending the evaluation result to the display screen for displaying;
the elevator operation condition forecasting module is used for establishing a short-term forecasting unit by adopting a statistical regression and data driving method and generating short-term elevator operation condition forecasting information based on the elevator operation parameter data;
the dangerous action judging module is used for acquiring human body depth information and skeleton information based on behavior video data through kinect depth sensor data, eliminating jitter and noise interference of the obtained skeleton information, acquiring angle rotation movement SO3 matrix information of all skeleton pairs, comparing the calculated angle rotation movement SO3 matrix information of the skeleton pairs with dangerous action standard posture information recorded in a dangerous action posture database, and if the difference is smaller than a certain threshold, determining that the posture information is true, otherwise, determining that the posture information is not true;
the alarm grade evaluation module is started when the evaluation result of the elevator operation safety evaluation module falls into a danger threshold, realizes the evaluation of the danger grade of the current elevator operation safety evaluation result based on a preset evaluation model, sends the evaluation result to the server and displays the evaluation result through the display screen; the server realizes the dispatch of the alarm information according to the danger level;
the three working condition access modules are used for respectively accessing working condition data of the elevator operation parameter acquisition module, working condition data of the behavior video data acquisition module and working condition data of the voice alarm module;
the working condition evaluation module is used for realizing evaluation of working conditions of the elevator operation parameter acquisition module, the behavior video data acquisition module and the voice alarm module based on a preset BP neural network model; the result of the working condition evaluation at least comprises elevator information, the name and the number of the module and the working state (normal/abnormal);
the automatic editing and sending module of the in-station message is started to realize the automatic editing of the in-station message when the evaluation result is abnormal, and the in-station message after the editing is finished is sent to a corresponding account; after the module is started, firstly, mining of corresponding module name and number data is achieved in a working condition evaluation result, then, the mined data are filled into a preset station mail template in a blank filling mode, after filling is completed, corresponding elevator information is mined in the working condition evaluation result, and the station mail is sent to a corresponding account based on the elevator information and existing management affiliation.
And the voice alarm module is arranged at each entrance of each elevator and is used for playing corresponding voice alarm audio according to the judgment result of the danger action judgment module.
In this embodiment, the server is provided with:
the alarm information dispatching module is used for dispatching alarm information, the alarm information at least comprises the current elevator model, the position, the fault type and the fault occurrence time, the evaluation result of the alarm level evaluation module is divided into a highest-level danger, a medium-level danger and a general danger, when the evaluation result is the highest-level danger, the server dispatches the alarm information according to a nearby principle, and the collected real-time positioning data of maintenance personnel are fed back to the monitoring terminal; when the evaluation result is a medium risk, the server firstly inquires the maintenance personnel who are working today and in idle period corresponding to the elevator, then the dispatching of the alarm information is realized according to the principle of proximity, and when the evaluation result is a general risk, the dispatching of the alarm information is realized according to the existing dispatching sequence.
The attendance information input module is used for realizing the input of the current working condition of the maintenance personnel through a card punching system of an external company;
and the database module is used for storing the basic information, the operation parameter data, the fault data, the maintenance data and the maintenance record data of each elevator by taking the elevator as a folder name.
In this embodiment, the elevator operation parameter acquisition module is used for acquiring elevator operation data, and the operation data includes elevator identification information, elevator operation floor information, direction information, speed information, acceleration information, door state information, state information of whether passengers exist, state information of whether floors are leveled, and state information of whether electricity exists.
In this embodiment, the behavior data acquisition module acquires behavior video data through cameras arranged at an elevator entrance and in an elevator.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. Elevator maintenance system based on thing networking big data support includes elevator operating parameter acquisition module, action video data acquisition module, audio alert module, intelligent terminal and monitor terminal that link to each other through internet and server, its characterized in that: the intelligent terminal adopts a mobile phone APP and is internally provided with:
the registration module is used for realizing the real-name registration of the elevator maintenance personnel;
the positioning module is used for realizing the acquisition of real-time positioning data of elevator maintenance personnel;
the alarm module is used for playing alarm information issued by the server;
the remote help seeking module is used for realizing communication with a corresponding expert through a video/voice call mode;
the maintenance record uploading module is used for registering and uploading the elevator maintenance record;
the monitoring terminal is internally provided with:
the data processing module is used for receiving the data sent by the elevator operation parameter acquisition module and the behavior video data acquisition module, marking the data by using the corresponding elevator information and sending the marked data to the elevator operation safety evaluation module, the elevator operation condition prediction module and the dangerous action judgment module;
the elevator operation safety evaluation module is used for finishing the evaluation of the current operation condition of the elevator based on the elevator operation parameter data through a preset algorithm and sending the evaluation result to the display screen for displaying;
the elevator operation condition forecasting module is used for establishing a short-term forecasting unit by adopting a statistical regression and data driving method and generating short-term elevator operation condition forecasting information based on the elevator operation parameter data;
the dangerous action judging module is used for acquiring human body depth information and skeleton information based on behavior video data through kinect depth sensor data, eliminating jitter and noise interference of the obtained skeleton information, acquiring angle rotation movement SO3 matrix information of all skeleton pairs, comparing the calculated angle rotation movement SO3 matrix information of the skeleton pairs with dangerous action standard posture information recorded in a dangerous action posture database, and if the difference is smaller than a certain threshold, determining that the posture information is true, otherwise, determining that the posture information is not true;
the alarm grade evaluation module is started when the evaluation result of the elevator operation safety evaluation module falls into a danger threshold, realizes the evaluation of the danger grade of the current elevator operation safety evaluation result based on a preset evaluation model, sends the evaluation result to the server and displays the evaluation result through the display screen; the server realizes the dispatch of the alarm information according to the danger level; the method comprises the following steps that the evaluation result of an alarm level evaluation module is divided into a highest-level danger, a medium-level danger and a general danger, when the evaluation result is the highest-level danger, a server realizes the dispatch of alarm information according to a nearby principle, and collected maintenance personnel real-time positioning data are fed back to a monitoring terminal; when the evaluation result is a medium risk, the server firstly inquires the maintenance personnel who are working today and are in an idle period corresponding to the elevator, then the dispatching of the alarm information is realized according to the principle of proximity, and when the evaluation result is a general risk, the dispatching of the alarm information is realized according to the existing dispatching sequence;
and the voice alarm module is arranged at each entrance of each elevator and is used for playing corresponding voice alarm audio according to the judgment result of the danger action judgment module.
2. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: still be equipped with in the intelligent terminal:
and the in-station letter reminding module is used for reminding the maintenance personnel to check the in-station letter in time in a pop-up dialog box and voice broadcasting mode.
3. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: the elevator operation parameter acquisition module is used for acquiring elevator operation data, and the operation data comprises elevator identification information, elevator operation floor information, direction information, speed information, acceleration information, door state information, passenger state information, leveling state information and power state information.
4. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: the behavior video data acquisition module acquires behavior video data through cameras arranged in an elevator entrance and an elevator.
5. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: the monitoring terminal also comprises:
the elevator operation parameter acquisition module, the behavior video data acquisition module and the voice alarm module working condition access module are used for respectively accessing working condition data of the elevator operation parameter acquisition module, working condition data of the behavior video data acquisition module and working condition data of the voice alarm module;
the working condition evaluation module is used for realizing the evaluation of the working conditions of the elevator operation parameter acquisition module, the behavior video data acquisition module and the voice alarm module based on a preset BP neural network model;
and the automatic editing and sending module for the in-station message starts to realize the automatic editing of the in-station message when the evaluation result is abnormal, and sends the edited in-station message to the corresponding account.
6. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: and an alarm information dispatching module is arranged in the server and used for realizing the dispatching of alarm information, and the alarm information at least comprises the current elevator model, the position, the fault type and the time of the fault.
7. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: the server is internally provided with an attendance information input module, and the current condition of whether the maintenance personnel are on duty or not is input through a card punching system of an external company.
8. The elevator maintenance system based on the big data support of the internet of things according to claim 1, wherein: and a database module is arranged in the server and used for storing the basic information, the operation parameter data, the fault data, the maintenance data and the maintenance record data of each elevator by taking each elevator as a folder name.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910489113.5A CN110171757B (en) | 2019-06-06 | 2019-06-06 | Elevator maintenance system based on Internet of things big data support |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910489113.5A CN110171757B (en) | 2019-06-06 | 2019-06-06 | Elevator maintenance system based on Internet of things big data support |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110171757A CN110171757A (en) | 2019-08-27 |
| CN110171757B true CN110171757B (en) | 2020-07-31 |
Family
ID=67697020
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910489113.5A Active CN110171757B (en) | 2019-06-06 | 2019-06-06 | Elevator maintenance system based on Internet of things big data support |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110171757B (en) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110371815B (en) * | 2019-07-04 | 2021-02-26 | 安徽中科福瑞科技有限公司 | Elevator maintenance system on demand based on Internet of things |
| CN110619486A (en) * | 2019-10-12 | 2019-12-27 | 安徽电梯大叔科技有限公司 | Elevator safety quality evaluation system and method of elevator data model |
| CN110817635A (en) * | 2019-11-19 | 2020-02-21 | 亚洲富士电梯股份有限公司 | Elevator test system based on self-defined setting |
| US11544931B2 (en) * | 2020-05-26 | 2023-01-03 | Otis Elevator Company | Machine learning based human activity detection and classification in first and third person videos |
| CN111680806A (en) * | 2020-06-11 | 2020-09-18 | 河南财政金融学院 | Building equipment management system |
| CN111874775A (en) * | 2020-06-12 | 2020-11-03 | 朱凯 | Elevator safety monitoring system based on big data |
| CN111689328A (en) * | 2020-06-24 | 2020-09-22 | 重庆电子工程职业学院 | Intelligent elevator detection system |
| CN112209193A (en) * | 2020-07-22 | 2021-01-12 | 上海城建职业学院 | Intelligent elevator system |
| CN112001335A (en) * | 2020-08-27 | 2020-11-27 | 武汉科技大学 | Interface system for evaluating unsafe behavior risk of subway passengers |
| CN111942974A (en) * | 2020-09-26 | 2020-11-17 | 百色学院 | Elevator group management system |
| CN112299181A (en) * | 2020-11-25 | 2021-02-02 | 广东省特种设备检测研究院梅州检测院 | Elevator monitoring system based on Internet of things |
| CN113479735A (en) * | 2021-05-26 | 2021-10-08 | 安徽掘亿科技有限公司 | Elevator operation and maintenance supervisory systems based on cloud platform |
| CN113336036B (en) * | 2021-06-22 | 2022-09-23 | 云知声智能科技股份有限公司 | Elevator abnormity monitoring method, device, equipment, elevator and storage medium |
| CN114476890A (en) * | 2022-01-17 | 2022-05-13 | 凌波技术有限公司 | Non-contact elevator data acquisition method |
| CN115650006B (en) * | 2022-10-24 | 2023-12-12 | 昆山广联发通信服务有限公司 | Elevator safety monitoring and early warning method and system based on big data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004323162A (en) * | 2003-04-24 | 2004-11-18 | Hitachi Ltd | Maintenance business simulator, maintenance service planning support system and maintenance business support system |
| CN101269767A (en) * | 2007-03-19 | 2008-09-24 | 东芝电梯株式会社 | Maintaining-managing system for elevator |
| CN103771211A (en) * | 2014-02-21 | 2014-05-07 | 成都烽火源信息技术有限公司 | Elevator monitoring system based on Internet of Things |
| CN105800410A (en) * | 2016-04-12 | 2016-07-27 | 天津康途科技有限公司 | Elevator maintenance comprehensive management system based on network marketing |
| CN108147244A (en) * | 2017-12-25 | 2018-06-12 | 戴嘉宝 | Elevator maintenance system based on Internet of Things |
| CN109088939A (en) * | 2018-08-30 | 2018-12-25 | 福建省润泽智能科技有限公司 | A kind of wisdom Electrical Safety monitoring system and Electrical Safety management system |
| CN109752963A (en) * | 2019-01-02 | 2019-05-14 | 沈阳工程学院 | A kind of house security system based on Internet of Things |
-
2019
- 2019-06-06 CN CN201910489113.5A patent/CN110171757B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004323162A (en) * | 2003-04-24 | 2004-11-18 | Hitachi Ltd | Maintenance business simulator, maintenance service planning support system and maintenance business support system |
| CN101269767A (en) * | 2007-03-19 | 2008-09-24 | 东芝电梯株式会社 | Maintaining-managing system for elevator |
| CN103771211A (en) * | 2014-02-21 | 2014-05-07 | 成都烽火源信息技术有限公司 | Elevator monitoring system based on Internet of Things |
| CN105800410A (en) * | 2016-04-12 | 2016-07-27 | 天津康途科技有限公司 | Elevator maintenance comprehensive management system based on network marketing |
| CN108147244A (en) * | 2017-12-25 | 2018-06-12 | 戴嘉宝 | Elevator maintenance system based on Internet of Things |
| CN109088939A (en) * | 2018-08-30 | 2018-12-25 | 福建省润泽智能科技有限公司 | A kind of wisdom Electrical Safety monitoring system and Electrical Safety management system |
| CN109752963A (en) * | 2019-01-02 | 2019-05-14 | 沈阳工程学院 | A kind of house security system based on Internet of Things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110171757A (en) | 2019-08-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110171757B (en) | Elevator maintenance system based on Internet of things big data support | |
| CN105314485B (en) | Elevator faults monitoring system and its method based on multimedia delivery system | |
| CN103063255B (en) | A kind of communication tower monitoring method and system thereof | |
| CN105185100A (en) | Vehicle monitoring and managing system | |
| CN104627769A (en) | Safe operation internet-of-things monitoring system for elevator | |
| CN103253571A (en) | Intelligent media advertisement machine of elevator dynamic monitoring system | |
| CN103771211A (en) | Elevator monitoring system based on Internet of Things | |
| CN104951945A (en) | System and method for evaluating driver's service quality through mobile phone | |
| CN111792487A (en) | Elevator intelligent management system and management method based on big data platform | |
| CN107067643A (en) | Scenic spot visitor's quantity excess load broadcast system | |
| CN110910086A (en) | Comprehensive perception processing system and method for railway passenger station factors | |
| CN204038799U (en) | Based on the elevator faults monitored control system of multimedia delivery system | |
| CN112477927A (en) | Rail transit station control information system based on mobile terminal | |
| CN112561284A (en) | Urban rail transit emergency command system and method | |
| CN108750849A (en) | A kind of Internet of Things information interaction system based on lift car display screen | |
| CN111126835B (en) | Public vehicle management method based on Beidou satellite positioning | |
| CN104944243A (en) | Elevator maintenance testing fault warning internet of things terminal | |
| CN107140495A (en) | A kind of elevator safety management system and method | |
| CN112884936A (en) | Urban safety patrol management system | |
| CN112365092A (en) | Urban rail transit road network large passenger flow risk self-adaptive pre-warning system | |
| CN112308243A (en) | Repair car remote monitoring management system | |
| CN115510034A (en) | Highway tunnel management and control architecture, method and system | |
| CN114037339A (en) | Event processing scheme scheduling system and method | |
| CN114827921A (en) | High-speed trip application method and system based on signaling big data | |
| CN109132760B (en) | Elevator remote monitoring system based on Internet of things technology |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |