WO2013040852A1

WO2013040852A1 - Cloud computing-based system and method for management and control of elevator apparatus

Info

Publication number: WO2013040852A1
Application number: PCT/CN2012/001122
Authority: WO
Inventors: 姜永东
Original assignee: Jiang Yongdong
Priority date: 2011-09-20
Filing date: 2012-08-22
Publication date: 2013-03-28
Also published as: CN103019159A

Abstract

A cloud computing-based system and method for the management and control of an elevator apparatus. The system comprises an Internet of Things onsite controller (11), used for setting a normal operation parameter of the elevator apparatus (10) and for the management and control of an operation mode of the elevator apparatus (10) on the basis of the normal operation parameter, an Internet of Things onsite data collector (12), used for collecting an actual operation parameter of the elevator apparatus (10), and a cloud computing device management and control platform (13), used for adjusting a management and control mode of the Internet of Things onsite controller (11) on the basis of the actual operation parameter and the normal operation parameter of the elevator apparatus (10). The method is implemented by using the system. The method and system allow for compatibility with elevator apparatus management and control platforms of all different manufactures, and for centralized management and control of multiple objects on a unified platform, thus implementing optimized configuration of operation states of the elevator apparatus.

Description

TECHNICAL FIELD The present invention relates to the field of elevator equipment management control technologies, and in particular, to a cloud computing-based elevator equipment management control system and method. BACKGROUND OF THE INVENTION With the increasing number of elevator installations (e.g., elevators and escalators) worldwide, management control of various elevator installations is becoming increasingly important.

As a special equipment, elevator equipment is more rigorous and careful for its daily maintenance than general equipment. In the prior art, the elevator equipment management control system generally uses only the number of analysis equipment, the nameplate information of the equipment, the maintenance record of the equipment, and the like, and performs a simple summary of information on various equipments, and cannot collect equipment by using automatic means. Real-time operation of data and design parameters makes it more difficult to achieve cross-platform and cross-system "data barrier sharing between objects". It can only manually log in product parameters and operating parameters, especially not for elevators. The equipment performs comparison analysis of operational data and design parameters, and cannot verify and predict in advance the time node of the equipment failure and the degree of damage caused by the fault to the equipment.

The inventors have also discovered that the prior art elevator equipment management control software also has the following problems:

1. When the system processes a large amount of historical data, it encounters problems that the processing speed is not fast and data protection cannot be realized;

2. The system does not comprehensively analyze and analyze equipment and component operation data from design factors, usage environment, usage habits, human factors, operational indicators, management systems, fault benchmarks, fault performance, fault statistics, operation optimization, etc. Management control, only to provide some statistical results to the user, let the user to modify the field operation control mode according to the statistical results, so that the optimal configuration of the device operation cannot be realized.

3, can not achieve all the genset facilities cross-platform, cross-system "real-time exchange of physical and physical data", and achieve cross-system, equipment facilities management and control according to functional requirements. Cloud computing is a network technology developed in recent years. It distributes computing tasks on resource pools composed of a large number of computers, enabling various application systems to acquire computing power, storage space, and various software services as needed. Major IT companies have launched their own cloud-based platform services, such as Google (G00GLE), Microsoft, Yahoo, Amazon, etc., summed up the following characteristics of cloud computing:

(1) Very large scale. "Cloud" is quite large. Google Cloud Computing has more than 1 million servers. The "clouds" of Amazon, IBM, Microsoft, Yahoo, etc. all have hundreds of thousands of servers. Enterprise private clouds typically have hundreds of thousands of servers, and "clouds" give users unprecedented computing power.

(2) Virtualization. Cloud computing allows users to access application services from any location using a variety of terminals. The requested resource comes from a "cloud" rather than a fixed tangible entity. used for

Somewhere in the "cloud", but in fact the user does not need to know, and do not have to worry about the specific location of the application. With just one laptop or one phone, you can do everything we need through web services, even tasks like supercomputing.

(3) High reliability. "Cloud" uses measures such as data multi-copy fault tolerance and compute node isomorphism to ensure high reliability of services. Cloud computing is more reliable than using local computers.

(4) Universality. Cloud computing is not targeted at specific applications. With the support of "cloud", it can construct ever-changing applications. The same "cloud" can support different application operations at the same time.

(5) High scalability. The scale of the "cloud" can be dynamically scaled to meet the needs of application and user growth.

(6) On-demand service. "Cloud" is a huge pool of resources that you buy on demand; clouds can be billed like tap water, electricity, and gas.

(7) Extremely cheap. Because the special fault-tolerant measures of "cloud" can use extremely cheap nodes to form a cloud, the automated centralized management of "cloud" enables a large number of enterprises to not have to bear the increasing cost of data center management. The versatility of "cloud" makes resource utilization Compared with the traditional system, users can fully enjoy the low cost advantage of "cloud". It usually takes hundreds of dollars and several days to complete tasks that previously required tens of thousands of dollars and months to complete.

(8) Internet of Things technology is a reliable guarantee for cloud computing to realize cross-platform exchange of field device data. Its essential meaning is that objects and objects are connected, intercommunicated and data shared. (9) The core and foundation of IoT technology is still Internet technology, which is a network technology that extends and expands on the basis of Internet technology; its client extends and extends to any item and item for information exchange and communication. Therefore, the definition of IoT technology is: through the information sensing device such as radio frequency identification (RFID), infrared sensor, global positioning system, laser scanner, etc., connect any item to the Internet according to the agreed agreement, and exchange information. And communication, a network technology that enables intelligent identification, location, tracking, monitoring and management.

(10) Internet of Things means that it will be everywhere

(Ubiquitous) end devices (Devices) and facilities (Faciities), including sensors with "intrinsic intelligence", mobile terminals, industrial systems, CNC systems, home intelligence devices, video surveillance systems, etc., and "external enablement"" (Enabled), such as RFID-attached assets (A _{S Se} ts ), individuals and vehicles carrying wireless terminals, etc. "smart parts or animals" or "smart dust" (Mote), through various wireless And/or wired long-haul and/or short-range communication networks for interoperability (M2M), application integration (Grand Integration), and cloud-based SaaS operations, etc.

(Intranet), private network (Extranet), and / or Internet (Internet) environment, using appropriate information security mechanisms to provide secure, controllable or even personalized real-time online monitoring, location and traceability, alarm linkage, scheduling command, plan Management and service functions such as management, remote control, security, remote maintenance, online upgrade, statistical reporting, decision support, and leadership of the desktop (Cockpit Dashboard), to achieve "efficient, energy-saving, safe, environmentally friendly" "The integration of management, control, and camping."

SUMMARY OF THE INVENTION In order to solve the above problems of the prior art, an object of the present invention is to provide a cloud computing-based elevator equipment management control system and method, which can be compatible with elevator equipment management and control platforms of all different manufacturers, under a unified platform. A large number of objects focus on equipment operation management control to achieve maximum operational optimization management, fault prediction and networked automatic control, so as to achieve optimal configuration of operating conditions and achieve better operational results.

In order to achieve the above object, the present invention provides a cloud computing-based elevator equipment management control system, including: An Internet of Things field controller, configured to set normal operation parameters of the elevator equipment, and manage and control an operation mode of the elevator equipment according to normal operation parameters of the elevator equipment, and operate the elevator equipment normally The parameters are transmitted to the cloud computing device management and control platform;

An Internet of Things field data collector, configured to collect actual operating parameters of the elevator equipment and transmit to the cloud computing device management and control platform;

The cloud computing device management and control platform is configured to adjust a management and control mode of the Internet of Things field controller according to actual operating parameters and normal operating parameters of the elevator device.

Preferably, the cloud computing device management and control platform specifically includes:

a receiving unit, configured to receive actual operating parameters of the elevator device collected by the Internet of Things field data collector, and normal operating parameters of the elevator device set by the Internet of Things field controller;

a first determining unit, configured to determine whether an actual running parameter of the elevator device matches a normal running parameter, and generate a determination result;

a running model generating unit, configured to generate a corresponding running model according to an actual running parameter of the elevator device when the determining result of the first determining unit is a match;

a running model database, configured to store various historical running models of the elevator device; a second determining unit, configured to determine whether the generated running model matches a corresponding historical running model in the running model database, and generates a determining result ;

And a control mode adjusting unit, configured to adjust a management and control mode of the elevator device by the Internet of Things field controller when the determination result of the first determining unit or the second determining unit is a mismatch.

Advantageously, the actual operating parameters of the elevator installation include real time operating parameters and safety parameters. Among them, the real-time operating parameters usually refer to the parameters related to the actual operation of the equipment such as temperature, humidity, running time and frequency directly collected by the IOT field data collector, for example: the load of the elevator equipment, the motor speed, the pressure, and the liquid leakage rate. , vibration acceleration, motor torque and power consumption, etc.; Safety parameters include parameters related to each device in the case of faults and alarms, such as: protection current, protection voltage, protection power and motor safety speed of the elevator equipment.

Preferably, the corresponding historical running model in the running model database refers to a historical running model in which the running condition constraint parameter matches the generated running model, the running The condition constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of the elevator apparatus. The operational model database contains various historical operational models that conform to industry standards (design standards, manufacturer equipment design parameters, etc.). These historical operational models take into account the evaluation criteria of energy consumption benchmarks, efficiency benchmarks, performance benchmarks, etc. In terms of it, it is the most reasonable. The establishment of the historical operation model is usually restricted by the operating condition constraint parameters of the elevator equipment, and the operational constraint parameters are different, and the corresponding historical operation models are different. The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters of the equipment include design operation parameters, design power, measurement range, design energy efficiency, etc. The application site type parameters of the equipment include shopping malls, supermarkets, hotels, office buildings, exhibitions. Pavilion, computer room, industrial plant, residential, national grid and other categories. Of course, there are other health constraint parameters, such as control mode.

In order to achieve the above object, the present invention also provides a cloud computing-based elevator device management control method, including:

S11: managing and controlling an operation mode of the elevator device according to the set normal operation parameter of the elevator device, and transmitting the normal operation parameter of the elevator device to a cloud computing device management and control platform;

S12: collecting actual operating parameters of the elevator equipment and transmitting to the cloud computing device management and control platform;

S13: Adjusting the management and control mode of the elevator equipment according to actual operating parameters and normal operating parameters of the elevator equipment under the cloud computing device management and control platform.

Preferably, the step S13 specifically includes:

S131: determining whether the actual running parameter and the normal running parameter of the elevator device are matched; if not, performing step S135, if yes, performing step S132;

S132: Generate a corresponding running model according to the actual running parameter of the elevator device; S133: determine whether the generated running model matches a corresponding historical running model in the running model database; if not, perform step S135, if matched, Perform step S134;

S134: maintaining a management and control mode for the elevator equipment;

S135: Adjust a management and control mode of the elevator equipment.

As a further preferred method, after performing the step S134, the method further includes the step S136, and adding the generated running model to the running model database. Preferably, the corresponding historical running model in the running model database refers to a historical running model in which the operating condition constraint parameter matches the generated running model, and the operating condition constraint parameter includes an application environment parameter and design of the elevator device. One or a combination of parameters, application location type parameters, and actual operational type parameters.

Preferably, the normal operating parameters and the actual operating parameters of the elevator equipment are transmitted to the cloud computing device management and control platform through any one of a wireless INTERNET network, a wired INTERNET network, a GPRS, a Beidou system, a GPS, a 3G, and a 4G network. .

Compared with the prior art, the utility model has the beneficial effects that the elevator equipment management control system and method provided by the invention can be compatible with the elevator equipment management control platform of all different manufacturers, and concentrate on running a plurality of objects under a unified platform. Management control, to achieve maximum predictive equipment failure and networked automatic adjustment control, so as to achieve optimal configuration of equipment operation, to achieve better equipment management and maintenance. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a schematic diagram showing the structure of a cloud computing-based elevator equipment management control system according to an embodiment of the present invention;

2 is a flow chart of a cloud computing-based elevator device management control method according to an embodiment of the present invention;

3 is a flow chart of a cloud computing based elevator device management control method according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. FIG. 1 is a schematic structural diagram of a cloud computing-based elevator equipment management control system according to an embodiment of the present invention, and a cloud computing-based elevator equipment management control system includes:

The Internet of Things field controller 11 is configured to set normal operation parameters of the elevator equipment 10 and manage and control the operation mode of the elevator equipment 10 according to the normal operation parameters of the elevator equipment 10, and transmit the normal operation parameters of the elevator equipment 10 to The cloud computing device management and control platform 13; the Internet of Things field controller 11 includes a user parameter setting unit 111 for setting normal operating parameters of the elevator device 10, and adjusting the management of the elevator device 10 by the Internet of Things field controller 11. And control mode; commonly used IoT field controller 11 includes unit controller, unit inverter, unit load adjustment controller, unit power cabinet, speed control right, unit and motor vibration correction controller, unit operation status automatic recorder, Unit operation fault recorder, guide correction controller and unit energy recorder. The Internet of Things field controller 11 used in this embodiment is a controller developed by using the Internet of Things technology, and is an elevator equipment operation data analysis controller having a unique IP address, which can be in one-to-one correspondence with the elevator device 10, and utilizes the Internet of Things technology. Real-time interaction of data across devices and platforms across platforms and systems. The normal operating parameters set by the Internet of Things field controller 11 are transmitted to the cloud computing device management and control platform 13 through the communication network, wherein the communication network may be a wireless INTERNET network, a wired INTERNET network, a GPRS, a Beidou system, a GPS, a 3G. , 4G network or more advanced next-generation transmission network.

The Internet of Things field data collector 12 is configured to collect actual operating parameters of the elevator equipment 10 and transmit it to the cloud computing equipment management and control platform 13; the actual operating parameters of the elevator equipment 10 include real-time operating parameters and safety parameters. The real-time operating parameters generally refer to parameters related to the actual operation of the elevator equipment 10 such as temperature, humidity, running time, frequency, etc. directly collected by the Internet of Things field data collector 12, for example: load of the elevator equipment 10, motor speed, pressure, liquid Leakage rate, vibration acceleration, motor torque and power consumption, etc.; Safety parameters include parameters related to elevator equipment 10 in case of faults and alarms, such as: protection current, protection voltage, protection power and motor safety speed of elevator equipment 10. Wait. The Internet of Things field data collector 12 is generally composed of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units, etc., to complete data collection and preliminary statistical analysis functions, the actual number of which is based on needs. There may be a lot of IoT field data collectors 12 set. The Internet of Things field data collector 12 used in this embodiment is a data collector developed by using the Internet of Things technology, and is an actual operation of an elevator device having a unique IP address. The data collector can be in one-to-one correspondence with the elevator apparatus 10. The IoT field data collector 12 can be various load cells, motor speed sensors, pressure sensors, liquid leak meters, accelerometers, motor torque sensors, shaft seal oil leakage and water leakage sensors, and gas collectors. The actual operating parameters of the elevator device 10 collected by the Internet of Things field data collector 12 are transmitted to the cloud computing device management and control platform 13 through the communication network, wherein the communication network may be a wireless INTERNET network, a wired INTERNET network, a GPRS, a Beidou system. , GPS, 3G, 4G networks or more advanced next-generation transmission networks.

The cloud computing device management and control platform 13 is configured to adjust the management and control mode of the Internet of Things field controller 11 according to the actual operating parameters and normal operating parameters of the elevator device 10. The purpose of the adjustment is to achieve optimal configuration of the elevator equipment 10, reduce the failure rate, reduce maintenance costs, and ensure that the equipment is in an optimal operating state. The cloud computing device management and control platform 13 of this embodiment specifically includes:

The receiving unit 131 is configured to receive the actual operating parameters of the elevator device 10 collected by the Internet of Things field data collector 12 and the normal operating parameters of the elevator device 10 set by the Internet of Things field controller 11;

The first determining unit 132 is configured to determine whether the collected actual operating parameters of the elevator apparatus 10 and the set normal operating parameters of the elevator apparatus 10 match and generate a determination result;

The operation model generating unit 133 is configured to generate a corresponding operation model according to the collected actual operating parameters of the elevator apparatus 10 when the determination result of the first determining unit 132 is a match; the operation model includes the overall working condition and the operating condition, and the like. index.

The operation model database 130 is configured to store various historical operation models of the elevator apparatus 10; the operation model database 130 stores various historical operation models of the elevator equipment conforming to industry standards (design standards, manufacturer equipment design parameters, etc.) and related specifications. , the standard and other documents agreed or recognized the optimal operating state model, these historical operating models are considered performance benchmarks, efficiency benchmarks, performance benchmarks and other evaluation criteria, and its operating state is relatively the most reasonable.

The second determining unit 134 is configured to determine whether the generated running model matches the corresponding historical running model in the running model database and generate a judgment result; the establishment of the elevator equipment historical running model is generally restricted by the operating condition constraint parameter, and the operating condition The constraint parameters are different, and the corresponding elevator equipment historical operation model is different. The health constraint parameter A combination of one or a combination of application environment parameters, design parameters, component design parameters, application site type parameters, and other constraint parameters (eg, control optimization modes) of the respective devices. The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters include operating status, design power, measurement range, design energy efficiency, etc. The application site type parameters include shopping malls, supermarkets, hotels, office buildings, exhibition halls, computer rooms, and industrial Plant, residential, national grid and other types. The user inputs the running condition constraint parameters of the currently generated running model through the health constraint parameter setting unit 14, and then finds the corresponding historical running model in the elevator device running model database 130 according to the operating condition constraint parameters (ie, the operating condition constraint parameter and The generated running model matches the historical running model), and then determines whether the generated running model matches the corresponding historical running model. If the matching does not indicate that the device is running unreasonably, it needs to be adjusted. For example, the generated running model unit time vibration acceleration of the device is required to be 1000g (squares per second), but if it is less than or greater than 10% of the set value, it can be inferred that the operating state of the device is abnormal, or resonance occurs, or spare parts appear. Excessive wear, or eccentricity, requires adjustment of the equipment.

The control mode adjusting unit 135 is configured to adjust the management and control mode of the elevator device 10 by the Internet of Things field controller 11 when the determination result of the first determining unit 132 or the second determining unit 134 is a mismatch. Mismatch indicates that the operation does not meet the requirements. The management and control modes need to be adjusted to ensure that the device is running normally until the optimal operating point is matched, so that the optimal configuration of the operating conditions is achieved. When the judgment result of the first judging unit 132 is not matched, it indicates that the running condition cannot meet the requirement set by the user, and needs to be directly adjusted; when the judgment result of the second judging unit 134 is not matched, it indicates that the running condition can be achieved. User setting requirements, but not optimal, do not consider evaluation criteria such as function benchmarking, efficiency benchmarking, performance benchmarking, etc. It is necessary to adjust to further optimize the operating state. If the judgment result of the second judging unit 134 is a match, indicating that the generated running model is reasonably compliant, the generated running model is added to the running model database 130 to enrich the historical data for subsequent operation management. Control provides a reference.

Of course, the cloud computing device management and control platform 13 has a variety of management and control modes for the Internet of Things field controller 11, and only one of the above embodiments is shown.

For example, the Internet of Things field data collector 12 can detect the temperature of the component transmission position of the elevator device 10. When the cloud computing device management and control platform 13 analyzes that the temperature is too high, it will issue a temperature warning and control to the Internet of Things site. 11 sends out lubricating oil The quantity of control signal facilitates the lubrication of the transmission parts and reduces the temperature, avoiding serious accidents such as heat burning and holding shaft of the equipment parts, so as to avoid damage to the parts of the rolling or sliding parts and being forced to stop the repair.

For the convenience of the user, the cloud computing-based elevator device management control system of the embodiment can be made into an intuitive display interface, and the user only needs to perform management control through the display interface.

The advantages of using the cloud computing device management and control platform 13 for device management control are obvious. The scale and scalability of cloud computing enable centralized control of ultra-large-scale operation, which can theoretically achieve any kind of globally. The management control of the elevator equipment has a wider application scope; the virtualization characteristics of the cloud computing enable each user to perform the operation management control without separately configuring the independent health management control platform, but in the "cloud", on demand. The cost is greatly reduced; the characteristics of cloud computing resource sharing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal energy allocation.

FIG. 2 is a flowchart of a cloud computing-based elevator device management control method according to an embodiment of the present invention, the method comprising:

S11: managing and controlling an operation mode of the elevator device according to the set normal operation parameter of the elevator device, and transmitting the normal operation parameter of the elevator device to a cloud computing device management and control platform; The normal operating parameters are transmitted to the cloud computing device management and control platform through the communication network, wherein the communication network may be wireless

INTERNET, wired Internet, GPRS, Beidou, GPS, 3G, 4G or more advanced next-generation transmission networks.

S12: collecting actual operating parameters of the elevator equipment and transmitting to the cloud computing equipment management and control platform; the actual operating parameters of the elevator equipment include real-time operating parameters and safety parameters. Among them, the real-time operating parameters usually refer to the parameters directly related to the actual operation of the elevator equipment, such as: temperature, humidity, motor speed, pressure, liquid leakage rate, vibration acceleration, motor torque. And power consumption; safety parameters include elevator-related parameters such as faults and alarms, such as: protection current, protection voltage, protection power and motor safety speed of elevator equipment. Generally, the IoT field data collector consisting of various types of sensors with network transmission functions, data statistics and summary units, data analysis and uploading units is used to enter the actual operating parameters. Line acquisition, the actual number of IoT field data collectors is set according to needs, such as load cell, motor speed sensor, pressure sensor, liquid leak meter, accelerometer, motor torque sensor, shaft seal oil leakage and Water leak sensor and power collector. The actual operating parameters of the collected elevator equipment are transmitted to the cloud computing equipment management and control platform through the communication network, wherein the communication network can be a wireless INTERNET network, a wired INTERNET network, a GPRS, a Beidou system, a GPS, a 3G, a 4G network or a more advanced one. Next generation transmission network, etc.

Due to the use of cloud computing equipment management and control platform to manage and control the operation of elevator equipment, the scale and scalability of cloud computing enable centralized control of ultra-large-scale operation, which can be realized globally. The management control of any kind of elevator equipment has a wider application scope; the virtualization characteristics of cloud computing enable each user to perform the operation management control without separately configuring an independent health management control platform, but pressing in the "cloud" Need to obtain, greatly reducing the cost; The characteristics of cloud computing resource sharing make the historical data in the entire control platform very rich, and can match the best historical data as a reference to achieve optimal configuration of the operating conditions.

FIG. 3 is a flowchart of a cloud computing-based elevator device management control method according to another embodiment of the present invention. The method is based on the cloud computing-based elevator device management control method shown in FIG. The steps specifically include:

S132: Generate a corresponding operation model according to actual operating parameters of the elevator device;

S133: Determine whether the generated running model matches the corresponding historical running model in the running model database; if not, perform step S135, and if yes, perform step S134;

S134: maintaining a management and control mode for the elevator equipment;

S135: Adjust a management and control mode of the elevator equipment.

As a preferred solution of the embodiment, after performing the step S134, the method further includes the step S136, adding the generated running model to the running model database, enriching historical data, and providing reference for subsequent running condition management control. . For a more detailed introduction, please refer to the description in the above embodiment of the cloud computing-based elevator equipment management control system.

The corresponding historical running model in the running model database refers to a historical running model that matches the running constraint parameter with the generated running model, and the operating condition constraint parameter includes an application environment parameter, a design parameter, and an application of the elevator device. One or a combination of a place type parameter and an actual run type parameter. The operational model database contains various historical operational models that conform to industry standards (design standards, manufacturer equipment design parameters, etc.). These historical operational models take into account the evaluation criteria of energy consumption benchmarks, efficiency benchmarks, performance benchmarks, etc. In terms of it, it is the most reasonable. The establishment of the historical operation model is usually restricted by the operating condition constraint parameters of the elevator equipment, and the operational constraint parameters are different, and the corresponding historical operation models are different. The application environment parameters of each device include geographic location, meteorological parameters, etc. The design parameters of the equipment include design operation parameters, design power, measurement range, design energy efficiency, etc. The application site type parameters of the equipment include shopping malls, supermarkets, hotels, office buildings, exhibitions. Pavilion, computer room, industrial plant, residential, national grid and other categories. Of course, there are other health constraint parameters, such as control mode.

The actual operating parameters of the elevator equipment are transmitted to the cloud computing device management and control platform through any one of a wireless internet network, a wired internet network, a GPRS, a Beidou system, a GPS, a 3G, and a 4G network.

The method of the embodiment is based on the cloud computing-based elevator device management control method shown in FIG. 2, and specifically how to adjust the management of the Internet of Things field controller under the cloud computing device management and control platform. And the control mode method, which fully utilizes the rich historical features of the cloud computing device management and control platform, further optimizes the running model.

The above embodiments are merely exemplary embodiments of the invention, and are not intended to limit the invention, the scope of the invention is defined by the appended claims. A person skilled in the art can make various modifications or equivalents to the invention within the spirit and scope of the invention, and such modifications or equivalents are also considered to fall within the scope of the invention.

Claims

Rights request

A cloud computing-based elevator equipment management control system, comprising: an Internet of Things field controller, configured to set a normal operation parameter of the elevator equipment, and a normal operation parameter according to the elevator equipment The operation mode of the elevator equipment is managed and controlled, and the normal operation parameters of the elevator equipment are transmitted to the cloud computing equipment management and control platform;

The cloud computing device management and control system according to claim 1, wherein the cloud computing device management and control platform specifically comprises:

The cloud computing-based elevator equipment management control system according to claim 1 or 2, wherein the actual operating parameters of the elevator equipment include real-time operating parameters and safety parameters; and the real-time operating parameters include the elevator The load of the equipment, the motor speed, the pressure, the liquid leakage rate, the vibration acceleration, the motor torque and the power consumption; the safety parameters include the protection current, the protection voltage, the protection power and the motor safety speed of the elevator equipment.

The cloud computing-based elevator equipment management control system according to claim 2, wherein the corresponding historical operation model in the operation model database refers to a history in which the operation constraint parameter matches the generated operation model. Running the model, the health constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of the elevator device.

A cloud computing-based elevator device management control method, comprising: S11: managing and controlling an operation mode of the elevator device according to the set normal operation parameter of the elevator device, and Transmitting the normal operating parameters of the elevator equipment to the cloud computing equipment management and control platform;

The cloud computing-based elevator device management control method according to claim 5, wherein the step S13 specifically includes:

S134: maintaining a management and control mode for the elevator equipment;

S135: Adjust a management and control mode of the elevator equipment.

The cloud computing-based elevator device management control method according to claim 6, wherein after performing the step S134, the method further includes the step S136, adding the generated running model to the running model database. .

The cloud computing-based elevator device management control method according to claim 6, wherein the corresponding historical running model in the running model database refers to a history in which the operating condition constraint parameter matches the generated running model. Running the model, the health constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of the elevator device.

The cloud computing-based elevator equipment management control method according to claim 5 or 6, wherein the actual operating parameters of the elevator equipment include real-time operating parameters and safety parameters; and the real-time operating parameters include the elevator The load of the equipment, the motor speed, the pressure, the liquid leakage rate, the vibration acceleration, the motor torque and the power consumption; the safety parameters include the protection current, the protection voltage, the protection power and the motor safety speed of the elevator equipment.

The cloud computing-based elevator equipment management control method according to claim 5 or 6, wherein the normal operation parameters and actual operating parameters of the elevator equipment are all through a wireless internet network, a wired internet network, a GPRS, a Beidou Any one of the system, GPS, 3G, 4G network is transmitted to the cloud computing device management and control platform.