CN202267861U - Elevator equipment management control system based on cloud computation - Google Patents
Elevator equipment management control system based on cloud computation Download PDFInfo
- Publication number
- CN202267861U CN202267861U CN2011203538338U CN201120353833U CN202267861U CN 202267861 U CN202267861 U CN 202267861U CN 2011203538338 U CN2011203538338 U CN 2011203538338U CN 201120353833 U CN201120353833 U CN 201120353833U CN 202267861 U CN202267861 U CN 202267861U
- Authority
- CN
- China
- Prior art keywords
- control
- lift facility
- internet
- cloud computing
- management
- 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.)
- Expired - Fee Related
Links
Images
Abstract
The utility model discloses an elevator equipment management control system based on cloud computation. The system comprises an internet of things field controller, an internet of things field data acquisition unit and a cloud computation equipment management and control platform, wherein the internet of things field controller is used for setting the normal operation parameters of the elevator equipment and managing and controlling the operation mode of the elevator equipment according to the normal operation parameters; the internet of things field data acquisition unit is used for acquiring the actual operation parameters of the elevator equipment; the cloud computation equipment management and control platform is used for regulating the management and control mode of the internet of things field controller according to the actual operation parameters and the normal operation parameters of the elevator equipment. The elevator equipment management control system based on cloud computation can be compatible with all elevator equipment management control platforms of different manufacturers and performs centralized management and control on multiple objects under a unified platform, thereby achieving the optimal configuration of the operation condition of the elevator equipment.
Description
Technical field
The utility model relates to lift facility management control technique field, relates in particular to a kind of lift facility management control system based on cloud computing.
Background technology
Along with the lift facility in the worldwide (like elevator and staircase) is more and more, more and more important to the management control of various lift facilities.
Lift facility is as a kind of special equipment, and is more stricter and careful than general device to its daily maintenance.Lift facility management control system of the prior art; Mostly just adopt nameplate information, the apparatus maintenance of analytical equipment quantity, equipment to maintain means such as record; Various device is done a simple information to gather; And can not use robotization means collecting device real-time running data and design parameter; More be difficult to accomplish cross-platform, interdepartmental system " data are accessible between thing and the thing shares " function, be merely able to, particularly can not accomplish each equipment of elevator is done service data and design parameter comparative analysis through manual entry product parameters and operational factor; Can't investigate and foresee in advance the time of occurrence node of equipment failure, and fault the extent of injury that equipment is caused.
The inventor finds that also also there is following problem in the lift facility management control software of prior art:
1, system runs into the problem that processing speed is not rapid, data protection can't realize when handling a large amount of historical data;
2, system does not carry out comprehensive equipment and parts service data statistics, analyzes and management control from aspects such as design factor, environment for use, use habit, human factor, operating index, management system, fault base stake, fault performance, fault statistics, operation optimizations; Only be that the part statistics is offered the user; Let user oneself go to revise on-the-spot operation control model, thereby can't realize the optimization configuration of equipment operation according to statistics.
3, can not realize cross-platform, the interdepartmental system of all genset facilities " thing and thing data in real time exchange ", and realize interdepartmental system, according to the installations and facilities management and the control of functional requirement.
Cloud computing is the network technology that grew up in recent years, and it is that calculation task is distributed on the resource pool of great amount of calculation mechanism one-tenth, makes various application systems can obtain computing power, storage space and various software service as required.Each numerous and confused platform service of releasing oneself of big IT company based on cloud computing, like Google (GOOGLE), Microsoft, Yahoo, Amazon (Amazon) etc., sum up cloud computing and have following characteristics:
(1) ultra-large." cloud " has suitable scale, and Googl e cloud computing has had more than 100 ten thousand station servers, and Amazon, IBM, Microsoft, Yahoo etc. " cloud " all has the hundreds of thousands station server.The privately owned cloud of enterprise generally has hundreds of thousands of station servers, and " cloud " can be given the user unprecedented computing power.
(2) virtual.Cloud computing support the user at an arbitrary position, use various terminals to obtain application service.Institute's requested resource is from " cloud ", rather than fixing tangible entity.Be applied in somewhere operation in " cloud ", but in fact the user need not to understand, does not also worry using the particular location of operation.Only need a notebook or a mobile phone, just can realize all that we need, even comprise the task that supercomputing is such through the network service.
(3) high reliability." cloud " used measures such as the many copies of data are fault-tolerant, the computing node isomorphism is interchangeable to ensure the high reliability of service, and it is more reliable than using local computer to use cloud computing.
(4) versatility.Cloud computing to certain applications, can not construct Protean application under the support of " cloud ", same " cloud " can support different application operations simultaneously.
(5) enhanced scalability.The scale of " cloud " can dynamic retractility, satisfies the needs of using with the userbase growth.
(6) on-demand service." cloud " is a huge resource pool, and you buy as required; Cloud can look like tap water, electricity, and coal gas is such to charge.
(7) extremely cheap.Because the special fault-tolerant measure of " cloud " can adopt extremely cheap node to constitute cloud; The robotization centralized management of " cloud " makes a large amount of enterprises need not to bear high day by day data center's handling cost; The versatility of " cloud " makes the utilization factor of resource significantly promote than legacy system; Therefore the user can enjoy the low-cost advantage of " cloud " to the full, often needs only cost hundreds of dollar, the task of several days time with regard to needing tens thousand of dollars, time several months to accomplish before accomplishing.
(8) technology of Internet of things is the reliable guarantee that cloud computing realizes the cross-platform exchange of field equipment data, and its essential implication is that thing links to each other with thing, intercommunication and data sharing.
(9) core of technology of Internet of things and basis remain Internet technology, are extension and a kind of network technology of expansion on the Internet technology basis; Its user side extends and has expanded between any article and the article, carries out message exchange and communication; Therefore; The definition of technology of Internet of things is: through information sensing equipment such as RF identification (RFID), infrared inductor, GPS, laser scanners; Agreement by agreement; Any article are connected with the internet, carry out message exchange and communication, to realize a kind of network technology of intelligent identification, location, tracking, monitoring and management.
(10) Internet of Things (Internet of Things) refers to end-equipment (Devices) and the facility (Facilities) with ubiquitous (Ubiquitous); The sensor, portable terminal, industrial system, digital control system, home intelligent facility, video monitoring system etc. and " external the enabling " that comprise and possessing " inherent intelligence " (Enabled); As stick the sundry assets (Assets) of RFID, the individual who carries wireless terminal and vehicle or the like " intelligent object or animal " or " SMART DUST " (Mote); Realize interconnecting (M2M), uses integrated greatly (Grand Integration) and based on the SaaS of the cloud computing isotype of operating through various wireless and/or wired long distances and/or short distance communication network; Under Intranet (Intranet), private network (Extranet) and/or internet (Internet) environment; Adopt the suitable message Security Assurance Mechanism; Provide that the controlled and even personalized real time on-line monitoring of safety, location are reviewed, alarm linkage, dispatch control, program management, Long-distance Control, safety precaution, long-range repair and maintenance, online upgrading, statistical report form, decision support, leader's desktop (concentrating the Cockpit Dashboard that shows) wait the management and service function, realizes " pipe, the control, seek " of " efficient, energy-conservation, safety, environmental protection " of " all things on earth " integrated.
The utility model content
In order to solve the problems referred to above of prior art; The purpose of the utility model provides a kind of lift facility management control system based on cloud computing; Lift facility management console that can compatible all different manufacturers to carrying out equipment operation management control in a lot of the object sets, is realized operation optimum management, fault prevision and networking control automatically to greatest extent under a uniform platform; Thereby realize the optimization configuration of operation conditions, reach better operational effect.
To achieve these goals, the utility model provides a kind of lift facility management control system based on cloud computing, comprising:
The Internet of Things field controller; Be used to set the normal operational factor of said lift facility and the operational mode of said lift facility managed and controlled, and the normal operational factor of said lift facility is transferred to cloud computing equipment control and control platform according to the normal operational factor of said lift facility;
Internet of Things on-site data gathering device is used to gather the actual operation parameters of said lift facility and sends cloud computing equipment control and control platform to;
Cloud computing equipment control and control platform are used for management and the control model of adjusting said Internet of Things field controller according to the actual operation parameters and the normal operational factor of said lift facility.
As preferably, said cloud computing equipment control specifically comprises with the control platform:
Receiving element is used to receive the actual operation parameters of the said lift facility that said Internet of Things on-site data gathering device collects and the normal operational factor of the said lift facility set through said Internet of Things field controller;
Whether first judging unit, the actual operation parameters that is used to judge said lift facility mate with normal operational factor and generate judged result;
The moving model generation unit, be used for when the judged result of said first judging unit during for coupling the actual operation parameters according to said lift facility generate corresponding moving model;
The moving model database is used to store the various history run models of said lift facility;
Whether second judging unit, moving model and the said moving model database corresponding historical moving model that is used for judging said generation mate and generate judged result;
The control model adjustment unit is adjusted management and the control model of said Internet of Things field controller to said lift facility when being used for judged result when said first judging unit or said second judging unit and being not matching.
As preferably, the actual operation parameters of said lift facility comprises real time execution parameter and security parameter.Wherein, The real time execution parameter is often referred to the parameters relevant with the actual motion of equipment such as the direct temperature of gathering of Internet of Things on-site data gathering device, humidity, working time, frequency, for example: the load-carrying of said lift facility, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises each device-dependent parameter under the situation such as fault and warning, for example: the protective current of said lift facility, protection voltage, protection power and motor safety rotating speed etc.
As preferably; The corresponding historical moving model is meant the history run model of the moving model coupling of operation conditions constrained parameters and said generation in the said moving model database, and said operation conditions constrained parameters comprise a kind of or its combination in applied environment parameter, design parameter, application places type parameter and the actual motion type parameter of said lift facility.There are the various history run models that meet industry standard (design standards, producer's device design parameter etc.) in the moving model database; These history run models have been considered evaluation criterions such as energy consumption mark post, efficient mark post, performance mark post, and its operational mode is the most rational comparatively speaking.The foundation of history run model receives the restriction of the operation conditions constrained parameters of said lift facility usually, and the operation conditions constrained parameters are different, and the corresponding historical moving model is just different.The applied environment parameter of each equipment comprises geographic position, meteorologic parameter etc.; The Equipment Design parameter comprises design and operation parameter, design power, measurement range, design efficiency etc., and the application places type parameter of equipment comprises classifications such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, dwelling house, national grid.Certainly, other operation conditions constrained parameters can also be arranged, such as control model etc.
As preferably, the normal operational factor of said lift facility and actual operation parameters all send said cloud computing equipment control and control platform to through communication network; Said communication network is any in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, the 4G net.
As preferably, said Internet of Things field controller comprises generator set controller, unit frequency converter, unit load adjustment controller, unit electric power cabinet, speed control, unit and motor oscillating Correction and Control device, operating states of the units self-recording device, unit operation trouble recorder, guiding Correction and Control device and unit energy consumption recording instrument.
Compared with prior art; The beneficial effect of the utility model is: the lift facility management console that the lift facility management control system that the utility model provides can compatible all different manufacturers; Under a uniform platform, control carrying out operational management in a lot of the object sets; Realize foreseeing to greatest extent equipment failure and regulate control automatically, thereby realize the optimization configuration of equipment operation condition, reach better equipment control and maintenance effects with networking.
Description of drawings
Fig. 1 is the structural representation based on the lift facility management control system of cloud computing of the utility model embodiment;
Embodiment
Specify the embodiment of the utility model below in conjunction with accompanying drawing.
The structural representation based on the lift facility management control system of cloud computing of the utility model embodiment as shown in Figure 1 comprises based on the lift facility management control system of cloud computing:
Internet of Things field controller 11; Be used to set the normal operational factor of lift facility 10 and the operational mode of lift facility 10 managed and controlled, and the normal operational factor of lift facility 10 is transferred to cloud computing equipment control and control platform 13 according to the normal operational factor of lift facility 10; Internet of Things field controller 11 comprises customer parameter setup unit 111, and it is used to set the normal operational factor of lift facility 10, and the management and the control model of 11 pairs of lift facilities 10 of adjustment Internet of Things field controller; Internet of Things field controller 11 commonly used comprises generator set controller, unit frequency converter, unit load adjustment controller, unit electric power cabinet, speed control, unit and motor oscillating Correction and Control device, operating states of the units self-recording device, unit operation trouble recorder, guiding Correction and Control device and unit energy consumption recording instrument etc.The Internet of Things field controller 11 that present embodiment adopted is the controllers that utilize the technology of Internet of things research and development; It is lift facility Operational Data Analysis controller with unique ip address; With lift facility 10 can be corresponding one by one, and utilize technology of Internet of things to realize the real-time, interactive of the cross-platform and interdepartmental system of data between installations and facilities.The normal operational factor of setting through Internet of Things field controller 11 is transferred to cloud computing equipment control and control platform 13 through communication network, and wherein said communication network can be the perhaps more advanced transmission network of future generation of wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, 4G net etc.
Internet of Things on-site data gathering device 12 is used to gather the actual operation parameters of lift facility 10 and sends cloud computing equipment control and control platform 13 to; The actual operation parameters of lift facility 10 comprises real time execution parameter and security parameter.Wherein, The real time execution parameter is often referred to the parameters relevant with the actual motion of lift facility 10 such as Internet of Things on-site data gathering device 12 direct temperature of gathering, humidity, working time, frequency, for example: the load-carrying of lift facility 10, motor speed, pressure, leak of liquid rate, vibration acceleration, Motor torque and power consumption etc.; Security parameter comprises under the situation such as fault and warning the parameter that each is relevant with lift facility 10, for example: the protective current of lift facility 10, protection voltage, protection power and motor safety rotating speed etc.Internet of Things on-site data gathering device 12 is generally by sensor, the data statistics of all kinds of band network transmission function with gather unit, data analysis and uploading unit etc. and form; Accomplish the collection and the rough estimates analytic function of data; Its actual quantity is to set as required, has a lot of Internet of Things on-site data gathering devices 12.The Internet of Things on-site data gathering device 12 that present embodiment adopted is the data acquisition units that utilize technology of Internet of things research and development, is the lift facility actual operating data collector with unique ip address, with lift facility 10 can be corresponding one by one.Internet of Things on-site data gathering device 12 can be various load measuring sensors, motor speed sensor, pressure transducer, leak of liquid measuring instrument, acceleration transducer, Motor torque sensor, axle leak sealing oil and leakage sensor and electric quantity acquisition appearance etc.The actual operation parameters of the lift facility 10 that Internet of Things on-site data gathering device 12 collects is transferred to cloud computing equipment control and control platform 13 through communication network, and wherein said communication network can be the perhaps more advanced transmission network of future generation of wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, 4G net etc.
Cloud computing equipment control and control platform 13 are used for management and the control model of adjusting said Internet of Things field controller 11 according to the actual operation parameters and the normal operational factor of said lift facility 10.The purpose of adjustment is to realize the optimization configuration of lift facility 10, reduces failure rate, reduces maintenance cost, and the equipment of assurance is in optimal operational condition etc.The cloud computing equipment control of present embodiment specifically comprises with control platform 13:
Receiving element 131 is used to receive the actual operation parameters of the lift facility 10 that Internet of Things on-site data gathering device 12 collects and the normal operational factor of the lift facility 10 set through Internet of Things field controller 11;
Whether first judging unit 132, the normal operational factor of lift facility 10 that is used to judge actual operation parameters and the said setting of the said lift facility that collects 10 mate and generate judged result;
Moving model generation unit 133, be used for when the judged result of first judging unit 132 during for coupling the actual operation parameters according to the said lift facility that collects 10 generate corresponding moving model; Moving model comprises indexs such as whole operating mode and operating condition.
Moving model database 130 is used to store the various history run models of lift facility 10; There are the various lift facility history run model of industry standard (design standards, producer's device design parameter etc.) and the optimized operation state models of being arranged or admitting of meeting in the moving model database 130 by files such as related specifications, standards; These history run models have been considered evaluation criterions such as function mark post, efficient mark post, performance mark post, and its running status is the most rational comparatively speaking.
Whether second judging unit 134, moving model and the moving model database corresponding historical moving model that is used for judging said generation mate and generate judged result; The foundation of lift facility history run model receives the restriction of operation conditions constrained parameters usually, and the operation conditions constrained parameters are different, and corresponding lift facility history run model is just different.Said operation conditions constrained parameters comprise in the applied environment parameter, design parameter, spare and accessory parts design parameter, application places type parameter of said each equipment a kind of or its combination and with the combination of other constrained parameters (like the Control and Optimization pattern).The applied environment parameter of each equipment comprises geographic position, meteorologic parameter etc.; Design parameter comprises operation conditions, design power, measurement range, design efficiency etc., and the application places type parameter comprises types such as market, supermarket, hotel, office building, exhibition center, machine room, industrial premises, dwelling house, national grid.The user is through the operation conditions constrained parameters of the moving model of the current generation of operation conditions constrained parameters setup unit 14 inputs; In lift facility moving model database 130, find corresponding historical moving model (being the history run model of the moving model coupling of operation conditions constrained parameters and said generation) according to these operation conditions constrained parameters then; Judge again whether the moving model and the corresponding historical moving model that generate mate; The devices illustrated operation is unreasonable if do not match, and needs adjustment.The moving model unit interval vibration equipment acceleration that for example generates requires 1000g (per second square); If but less than or greater than more than 10% of setting value; Can infer that then this equipment running is undesired, or resonate, or excessive wear appears in spare and accessory parts; Perhaps off-centre etc. need be adjusted equipment.
Control model adjustment unit 135 is used for judged result when first judging unit 132 or second judging unit 134 and is the management and the control model of 11 pairs of lift facilities 10 of adjustment Internet of Things field controller when not matching.The explanation operation of not matching is undesirable, need adjust with assurance equipment management and control model and normally move, and till best operating point is realized coupling, thereby the optimization that realizes operation conditions disposes.When the judged result of first judging unit 132 when not matching, explain that operation conditions can't reach the requirement that the user sets, and need directly adjust; When the judged result of second judging unit 134 when not matching; Though explain that operation conditions can reach the user and set requirement; But also not optimum, do not consider evaluation criterions such as function mark post, efficient mark post, performance mark post, further optimize running status thereby be necessary to adjust.When if the judged result of second judging unit 134 is coupling; Explain that the moving model that generates is reasonably satisfactory; Then the moving model with said generation joins in the moving model database 130, enriches historical data, for the control of follow-up operation situation management provides reference.
Certainly, the management of cloud computing equipment control and control platform 13 pairs of Internet of Things field controllers 11 and control model have a variety of, and the foregoing description has only provided wherein a kind of.
Easy to use for the user, the lift facility management control system based on cloud computing of present embodiment can be made display interface intuitively, and the user only need manage control through display interface and get final product.
For example; Internet of Things on-site data gathering device 12 can detect the temperature of the parts transmission position of lift facility 10; When cloud computing equipment control and control platform 13 analysis discovery temperature are too high; Then can send the temperature early warning, and send the control signal that increases the lubricating oil oil mass, be convenient to make drive disk assembly to strengthen lubricated and the reduction temperature to Internet of Things field controller 11; Avoid taking place major accidents such as part of appliance heating burn and seize, thereby avoid causing the damage of components of rolling or sliding position and repaired by forced-stopping machine.
Use the cloud computing equipment control fairly obvious with the advantage that control platform 13 carries out equipment control control; The scale property of cloud computing and the characteristics of extensibility make ultra-large operation conditions centralized control to realize; Can realize the management control of the lift facility of any kind of in the global range theoretically, range of application is wider; The virtualized characteristics of cloud computing make each user need not to dispose separately independently operation state management control platform when carrying out operation state management control, but in " cloud ", obtain as required, greatly reduce cost; The characteristics of the resource sharing of cloud computing make that the interior historical data of The whole control platform is very abundant, can mate best historical data as a reference, thereby realize the optimization configuration of the energy.
Above embodiment is merely the exemplary embodiment of the utility model, is not used in restriction the utility model, and the protection domain of the utility model is limited additional claims.Those skilled in the art can make various modifications or be equal to replacement the utility model in the essence and protection domain of the utility model, this modification or be equal to replacement and also should be regarded as dropping in the protection domain of the utility model.
Claims (3)
1. the lift facility management control system based on cloud computing is characterized in that, comprising:
The Internet of Things field controller; Be used to set the normal operational factor of said lift facility and the operational mode of said lift facility managed and controlled, and the normal operational factor of said lift facility is transferred to cloud computing equipment control and control platform according to the normal operational factor of said lift facility;
Internet of Things on-site data gathering device is used to gather the actual operation parameters of said lift facility and sends cloud computing equipment control and control platform to;
Cloud computing equipment control and control platform are used for management and the control model of adjusting said Internet of Things field controller according to the actual operation parameters and the normal operational factor of said lift facility.
2. the lift facility management control system based on cloud computing according to claim 1 is characterized in that, the normal operational factor of said lift facility and actual operation parameters all send said cloud computing equipment control and control platform to through communication network; Said communication network is any in wireless INTERNET net, wired INTERNET net, GPRS, dipper system, GPS, 3G, the 4G net.
3. the lift facility management control system based on cloud computing according to claim 1; It is characterized in that said Internet of Things field controller comprises generator set controller, unit frequency converter, unit load adjustment controller, unit electric power cabinet, speed control, unit and motor oscillating Correction and Control device, operating states of the units self-recording device, unit operation trouble recorder, guiding Correction and Control device and unit energy consumption recording instrument.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203538338U CN202267861U (en) | 2011-09-20 | 2011-09-20 | Elevator equipment management control system based on cloud computation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203538338U CN202267861U (en) | 2011-09-20 | 2011-09-20 | Elevator equipment management control system based on cloud computation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202267861U true CN202267861U (en) | 2012-06-06 |
Family
ID=46158647
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011203538338U Expired - Fee Related CN202267861U (en) | 2011-09-20 | 2011-09-20 | Elevator equipment management control system based on cloud computation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202267861U (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013040852A1 (en) * | 2011-09-20 | 2013-03-28 | Jiang Yongdong | Cloud computing-based system and method for management and control of elevator apparatus |
| CN103159096A (en) * | 2013-03-28 | 2013-06-19 | 陈慧君 | Elevator-taking selection scheme control system |
| CN104030102A (en) * | 2013-03-08 | 2014-09-10 | 株式会社日立制作所 | Elevator system |
| CN104555627A (en) * | 2015-02-10 | 2015-04-29 | 德州通懋机电设备有限公司 | Elevator Internet-of-Things operation control management system and operation control method thereof |
| CN105800401A (en) * | 2016-05-13 | 2016-07-27 | 南京物联传感技术有限公司 | Control method of intelligent elevator |
| US10116635B1 (en) | 2017-04-27 | 2018-10-30 | Otis Elevator Company | Mobile-based equipment service system using encrypted code offloading |
| US11518650B2 (en) | 2018-06-15 | 2022-12-06 | Otis Elevator Company | Variable thresholds for an elevator system |
-
2011
- 2011-09-20 CN CN2011203538338U patent/CN202267861U/en not_active Expired - Fee Related
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013040852A1 (en) * | 2011-09-20 | 2013-03-28 | Jiang Yongdong | Cloud computing-based system and method for management and control of elevator apparatus |
| CN103019159A (en) * | 2011-09-20 | 2013-04-03 | 朗德华信（北京）自控技术有限公司 | Elevator equipment management and control system and method based on cloud computing |
| CN104030102A (en) * | 2013-03-08 | 2014-09-10 | 株式会社日立制作所 | Elevator system |
| CN103159096A (en) * | 2013-03-28 | 2013-06-19 | 陈慧君 | Elevator-taking selection scheme control system |
| CN104555627A (en) * | 2015-02-10 | 2015-04-29 | 德州通懋机电设备有限公司 | Elevator Internet-of-Things operation control management system and operation control method thereof |
| CN105800401A (en) * | 2016-05-13 | 2016-07-27 | 南京物联传感技术有限公司 | Control method of intelligent elevator |
| US10116635B1 (en) | 2017-04-27 | 2018-10-30 | Otis Elevator Company | Mobile-based equipment service system using encrypted code offloading |
| US11518650B2 (en) | 2018-06-15 | 2022-12-06 | Otis Elevator Company | Variable thresholds for an elevator system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202257235U (en) | Water cooler management control system based on cloud computing | |
| CN202267861U (en) | Elevator equipment management control system based on cloud computation | |
| CN103016321A (en) | System and method for managing and controlling water pump based on cloud computing | |
| CN110719210B (en) | Industrial equipment predictive maintenance method based on cloud edge cooperation | |
| CN102193526B (en) | System and method for managing and controlling intelligent domestic energy sources based on cloud computing | |
| CN202267864U (en) | Generator set management control system based on cloud computing | |
| CN103283208B (en) | Based on the remote real-time monitoring system of cloud computing | |
| CN202284531U (en) | Water pump management and control system based on cloud computing | |
| CN201765487U (en) | Intelligent home energy manage and control system based on cloud computing | |
| CN102882969B (en) | A kind of safety production cloud service platform of industrial and mining enterprises | |
| Liu et al. | Research on digital production technology for traditional manufacturing enterprises based on industrial Internet of Things in 5G era | |
| CN103016171A (en) | System and method for managing and controlling generator set based on cloud computing | |
| US20120166115A1 (en) | Platform, system and method for energy profiling | |
| WO2013040855A1 (en) | Cloud computing-based system and method for management and control of facility and equipment of green building | |
| CN201765488U (en) | Motor vehicle monitoring system based on cloud computing | |
| CN103019159A (en) | Elevator equipment management and control system and method based on cloud computing | |
| CN204883352U (en) | Tobacco peculiar smell treatment facility running state remote monitering system | |
| CN103019161A (en) | Air processing equipment management and control system and method based on cloud computing | |
| WO2018144397A1 (en) | Energy grid data platform | |
| CN201611444U (en) | Automated comprehensive management platform system | |
| WO2011130474A2 (en) | Modeling and simulation of power environments | |
| CN107103091B (en) | Internet of things big data access energy-saving control method and device | |
| US20130339104A1 (en) | Technical platform | |
| CN109409732A (en) | A kind of energy consumption management system and management method | |
| CN102194018A (en) | System and method for predictive analysis of energy consumption of building based on cloud computing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee |
Owner name: LONGDHUA (BEIJING) CLOUD ENERGY TECHNOLOGY CO., LT Free format text: FORMER NAME: LONGDHUA (BEIJING) CONTROLS TECHNOLOGY CO., LTD. |
|
| CP03 | Change of name, title or address |
Address after: Beijing City, Haidian District Hanvon building 100193 Zhongguancun Software Park Building 5, floor 1 1B zone Patentee after: Lang Dehua (Beijing) cloud Energy Technology Co., Ltd. Address before: 100086 No. 111, ideal building, Haidian District, Beijing, Zhichun Road 1203 Patentee before: Longdhua (Beijing) Automatic Control Technology Co., Ltd. |
|
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120606 Termination date: 20180920 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |