WO2019052266A1 - 一种智能物联网管理系统、方法以及服务器 - Google Patents

一种智能物联网管理系统、方法以及服务器 Download PDF

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Publication number
WO2019052266A1
WO2019052266A1 PCT/CN2018/094204 CN2018094204W WO2019052266A1 WO 2019052266 A1 WO2019052266 A1 WO 2019052266A1 CN 2018094204 W CN2018094204 W CN 2018094204W WO 2019052266 A1 WO2019052266 A1 WO 2019052266A1
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Prior art keywords
data
model
sensing
sub
transmission protocol
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PCT/CN2018/094204
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English (en)
French (fr)
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李红力
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京东方科技集团股份有限公司
合肥京东方显示技术有限公司
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Priority to US16/330,700 priority Critical patent/US11627208B2/en
Priority to EP18849420.7A priority patent/EP3697059A4/en
Publication of WO2019052266A1 publication Critical patent/WO2019052266A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/08—Protocols for interworking; Protocol conversion
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048—Monitoring; Safety
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/75—Information technology; Communication
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/565—Conversion or adaptation of application format or content
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31124—Interface between communication network and process control, store, exchange data
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/31—From computer integrated manufacturing till monitoring
    • G05B2219/31369—Translation, conversion of protocol between two layers, networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Definitions

  • the present disclosure relates to an Internet of Things management system.
  • it relates to a method, server and system for generating display data based on data from different sensing devices and a preset environment model.
  • a method for Internet of Things management comprising: receiving first sensing data conforming to a first type of data transmission protocol from one or more first sensing devices, and conforming to the first class
  • the first sensing data of the data transmission protocol is converted into first sensing data conforming to the third type of data transmission protocol, wherein the first sensing data is associated with the first sub-model in the preset environment model; from one or more
  • the second sensing device receives the second sensing data that conforms to the second type of data transmission protocol, and converts the second sensing data that conforms to the second type of data transmission protocol into the second sensing data that conforms to the third type of data transmission protocol, where
  • the second sensing data is associated with a second sub-model in the preset environment model, wherein the second type of data transmission protocol is different from the first type of data transmission protocol; based on conforming to the third type of data transmission Generating, by the first sensing data of the protocol, the second sensing data conforming to the third type of data transmission protocol, and
  • the method further includes transmitting the display data in response to a request from a user.
  • the first sensing device is an electronic positioning tag
  • the electronic positioning tag is associated with a coordinate system in the preset environment model
  • the generating is for the preset environment
  • Updating the display data of the first sub-model in the model includes: generating, according to the coordinate data received from the electronic positioning tag, displaying, on the corresponding coordinates in the preset environment model, the electronic positioning tag The displayed data of the tag.
  • the second sensing device is a state sensor for monitoring an environmental state
  • the state sensor is associated with a device model disposed in the preset environment model
  • the generating is for Updating the display data of the second sub-model in the preset environment model includes: generating, according to the environmental state data received from the state sensor, the environment state data in the preset environment model Display data showing status data for the associated device model.
  • the status sensor includes a temperature sensor, a humidity sensor, a camera, and a device status sensor.
  • the method further includes allocating the first perceptual data and the second perceptual data to the distributed sub-processor in a symmetric manner.
  • the method further comprises transmitting the first sensing data and the second sensing data to the distributed processor in a broadcast manner; listening to the first sensing data and the second sensing data.
  • the viewing angles are cyclically switched based on a predetermined order to sequentially generate display data for updating state data of each of the plurality of device models.
  • the method further includes: obtaining a first determination result according to the first sensing data or the second sensing data; and issuing an alarm signal based on the first determination result.
  • generating display data for updating the first sub-model and the second sub-model in the preset environment model comprises: switching when viewing an alarm signal based on the first sensing data The perspective is to display a parameter state of the device model associated with the first sensing device; when the alert signal is issued based on the second sensing data, the viewing angle of view is switched to display a parameter state of the device model associated with the second sensing device.
  • a server for an Internet of Things system comprising: an adapter comprising at least a first sub-adapter and a second sub-adapter, wherein the first sub-adaptor is configured to Receiving, by the first sensing device, the first sensing data that conforms to the first type of data transmission protocol, and converting the first sensing data that conforms to the first type of data transmission protocol into the first sensing data that conforms to the third type of data transmission protocol
  • the first perceptual data is associated with a first sub-model in a preset environment model
  • the second sub-adapter is configured to receive from the one or more second sensing devices a second type of data transmission protocol Sensing data, and converting second sensing data conforming to the second type of data transmission protocol into second sensing data conforming to the third type of data transmission protocol, wherein the second sensing data is in the preset environment model
  • a second sub-model is associated, wherein the first type of data transmission protocol is different from the second type of data transmission protocol
  • the processor is configured
  • an Internet of Things system including: a sensing device, where the sensing device includes at least a first sensing device and a second sensing device, the first sensing device is configured to collect the first class. First sensing data of the data transmission protocol, the second sensing data is used to collect second sensing data conforming to the second type of data transmission protocol; the server is configured to perform the steps of the method as described above; the display terminal is configured to receive Display data from the server and display an updated environment model based on the received display data.
  • displaying the updated environment model based on the received display data includes displaying the updated environment model in a virtual reality manner.
  • FIG. 1 is a schematic diagram of a smart Internet of Things management system in accordance with an embodiment of the present disclosure
  • FIG. 2A shows a schematic diagram of a server in accordance with an embodiment of the present disclosure
  • FIG. 2B shows a schematic diagram of a processor in accordance with an embodiment of the present disclosure
  • FIG. 3 shows a schematic diagram of an architecture of a server in accordance with the present disclosure
  • FIG. 5 illustrates a flow of data processing and transmission based on a server architecture of the present disclosure
  • FIG. 6A shows a schematic diagram of a visual representation of an Internet of Things scene, in accordance with one embodiment of the present disclosure
  • 6B shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure
  • FIG. 7 is a schematic diagram showing a visual representation of an Internet of Things scene according to an embodiment of the present disclosure.
  • FIG. 8 is a schematic diagram showing a visual representation of an Internet of Things scene according to an embodiment of the present disclosure.
  • FIG. 9 shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure.
  • the Internet of Things refers to Ubiquitous devices and facilities, including sensors with “intrinsic intelligence”, mobile terminals, industrial systems, building control systems, and home intelligence. Facilities, video surveillance systems, etc., and "Intelligent Chemicals or Animals” or “Mote”, such as RFID-attached assets (Assets), wireless terminals Personal and vehicle, etc., through various wireless and / or wired long-distance and / or short-distance communication networks to achieve interoperability (M2M), application integration (Grand Integration), and cloud-based SaaS operations and other modes, Intranet, extranet, and/or Internet (Internet) environment, using appropriate information security mechanisms to provide secure, controllable, personalized real-time online monitoring, location tracking, alarm linkage, scheduling Command, plan management, remote control, security, remote maintenance, online upgrades, statistical reports, decision support, leadership desktops (such as Cockpit Dashboard) Service function, "all things” to achieve high efficiency, energy saving, safety, environmental management, control, operations integration.
  • the smart Internet of Things management system disclosed in the present application will be described below by way of a factory.
  • the application scenario of the smart Internet of Things management system according to the present disclosure is not limited thereto.
  • the smart Internet of Things management system according to the present disclosure can also be applied to other public services or privately managed scenarios such as hospitals, schools, homes, office buildings, stadiums, and the like.
  • FIG. 1 is a schematic diagram of a smart Internet of Things management system 100 in accordance with an embodiment of the present disclosure.
  • the intelligent Internet of Things management system 100 can include a sensing device 110, a network 120, a server 130, a database 140, and a display device 150.
  • the intelligent Internet of Things management system 100 may also be referred to simply as the system 100.
  • the sensing device 110 includes one or more sensing sub-devices 110a-110n.
  • the sensing device 110 is configured to collect information from the surrounding environment or other surrounding devices.
  • the perceptual sub-devices 110a-110n can be used to receive data from the surrounding environment.
  • the sensing sub-device can include a sensor device.
  • the sensing sub-devices 110a-110n may include an infrared sensor, a somatosensory sensor, a brain wave sensor, a speed sensor, an acceleration sensor, a positioning device (a global positioning system (GPS) device, a global navigation satellite system (GLONASS) device, a Beidou navigation system device).
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • Beidou navigation system device Beidou navigation system
  • the sensing sub-devices 110a-110n may also be cameras for acquiring image/video data, microphones for collecting audio data, cleanliness sensors, air pressure sensors, smoke detectors, etc., sensors or devices that detect the state of the surrounding environment.
  • the sensing sub-devices 110a-110n may also be mechanical sensors, resistive sensors, inductive sensors, piezoelectric sensors, magnetoelectric sensors, semiconductor sensitive components, and the like for detecting the state of the operating device.
  • the sensing sub-devices may be constructed separately from separate sensors or may be integrated from multiple identical or different sensors.
  • the sensing sub-devices 110a-110n can be used to read data in the memory.
  • the perceptual sub-devices 110a-110n may be a two-dimensional code/barcode reader, an RFID card reader, or the like.
  • the sensing sub-devices 110a-110n may be smart terminals.
  • the sensing sub-devices 110a-110n may be smart phones, tablets, notebook computers, personal digital assistance (PDA), smart wearable devices (such as smart glasses, smart watches, smart bracelets, smart rings, smart Helmet) and so on.
  • PDA personal digital assistance
  • the perceptual sub-devices 110a-110n may be input devices such as a mouse, a keyboard, or the like.
  • the perceptual sub-devices 110a-110n may be an independent hardware unit that implements the collection of the surrounding information described above.
  • the one or more sensing sub-devices 110a-110n described above may be installed at different locations of the system 100 or worn or carried by the user, respectively.
  • the perceptual sub-device may be a location-aware device composed of sensors for detecting user status, location information, or a state-aware device for monitoring environmental conditions.
  • the location aware device can include an electronic positioning tag.
  • the state sensing device may include a camera for photographing the surrounding environment, an access control for monitoring the entry and exit status of the personnel, a device state sensor for monitoring the running state of the device, and a power device for monitoring the power device and the environmental variable in the plant area and Environmental system sensors (such as temperature and humidity sensors).
  • Network 120 is used to receive and communicate information between portions of system 100.
  • Network 120 can be a single network or a combination of multiple different networks.
  • the network 120 may be a local area network (LAN), a wide area network (WAN), a public network, a private network, a proprietary network, a public switched telephone network (PSTN), the Internet, Wireless network, virtual network, or any combination of the above.
  • Network 120 may also include multiple network access points, such as wired or wireless access points, such as routers/switches and base stations, through which any data source may access network 120 and transmit over network 120.
  • network 120 can be an industrial Ethernet, mobile communication network.
  • the access mode of the network 120 can be wired or wireless. Wired access can be achieved by means of fiber optics or cables.
  • Wireless access can be via Bluetooth, wireless local area network (WLAN), Wi-Fi, WiMax, near field communication (NFC), ZigBee, mobile networks (2G, 3G, 4G, 5G networks, etc.) ), Narrow Band Internet of Things NB-IOT or other connection methods.
  • WLAN wireless local area network
  • Wi-Fi Wi-Fi
  • WiMax near field communication
  • NFC near field communication
  • ZigBee ZigBee
  • mobile networks (2G, 3G, 4G, 5G networks, etc.)
  • Narrow Band Internet of Things NB-IOT or other connection methods.
  • the server 130 is configured to generate display data for updating status data in the environment model based on the perceptual data collected from the perceptual sub-devices 110a-110n and the preset environmental model.
  • Server 130 can be a server hardware device, or a server group. Each server within a server group can be connected over a wired or wireless network.
  • a server group can be centralized, such as a data center.
  • a server group can also be distributed, such as a distributed system.
  • the server 130 may be configured to collect information collected by the sensing device 110, analyze and process the input information based on the database 140, generate output content, and convert the image into an image and audio/text signal to the display device 150.
  • database 140 can be self-contained and directly coupled to network 110. Server 130, or other portions of system 100, can directly access database 140 via network 120.
  • server 130 may include a central server and one or more backup servers, where the backup server is configured the same as the central server.
  • the backup server is configured the same as the central server.
  • the standby server has the same functionality as the central server. Consistent with the user terminals that are separately undertaken.
  • server 130 can separate the data processing program from the web server and other file servers.
  • the server 130 may include a static file server for processing static files (three-dimensional data, picture data, etc.) and a web server for processing web page resources. Therefore, the server cluster can be utilized to respond to the acquisition request of the user terminal, greatly reducing the pressure on the central server.
  • server 130 may include a collection of servers that are composed of one or more servers in a symmetrical manner. A central server and a backup server are included in this server collection. Each of these servers has an equivalent status. Each server can process data from the perceptual device separately without the assistance of other servers in the server collection.
  • the request received by the service period set is evenly distributed to a server in the symmetric structure to implement a balanced load, wherein the server assigned to the request can process and respond to the request independently.
  • the balanced load algorithm may include a Round Robin algorithm, a weighted round-robin scheduling algorithm, a traffic ratio, a user, an application, an application, a service category, and a service category. (Service), Auto Mode, etc.
  • the balanced load algorithm distributes client requests evenly to the server array, providing the ability to quickly access critical data and address a large number of concurrent access services. With clustering technology, you get near-mainframe performance at the lowest cost.
  • the server 130 can be a cloud computing platform that can be used to provide dynamic, scalable virtualized resources over a network.
  • the cloud computing platform can provide available, convenient, on-demand network access that can access a configurable pool of computing resources (resources including networks, servers, storage, applications, services).
  • the server 130 may manage a storage device (such as a hard disk drive HDD, a solid state drive SSD, etc.) in a node through a virtual storage device (VSA) at each physical server node (such as an X86 server), and interact with other nodes.
  • VSA virtual storage device
  • the hypervisor can be located between the application layer and the infrastructure layer, abstracting and pooling computing, network and storage resources, and having the control plane function.
  • server 130 can be implemented by one or more processors.
  • the database 140 is used to store various data files for use in computer processing and/or communication usage in the smart Internet of Things management system 100.
  • the database 140 may store environmental data collected by the sensing device 110, intermediate data generated by the server 130 in analyzing and processing the environmental data, and/or finally obtained results, output data generated based on the environmental data, and the like.
  • Database 140 can use a variety of storage devices.
  • database 140 can include a hard disk, a solid state storage device, an optical disk, and the like.
  • database 140 may also store other data that server 130 may utilize while performing data processing. For example, the formula or rule that the server 130 needs to use in analyzing and processing the environmental data, the criteria or thresholds on which the determination is made, and the like.
  • the display device 150 can visually present to the user an image of the environmental data captured by the sensing device 110 based on the content generated by the server.
  • the above images may include text, pictures, videos, and the like. In one example, the above images may be two dimensional or three dimensional.
  • display device 150 may also output a sound signal (eg, an alert reminder).
  • display device 150 can be a display screen and display a visualized image on the display screen.
  • display device 150 can be a smart terminal (eg, a computer, laptop, smartphone, etc.). Moreover, the smart terminal can be equipped with different operating systems (such as Windows, OS, Android, iOS, Windows Mobile, etc.).
  • display device 150 can be a virtual reality display device, a holographic image display device, an augmented reality display device, or the like. In another embodiment, display device 150 can also be a projection device.
  • the intelligent Internet of Things management system can send data from different sensing devices in a complex Internet of Things to a unified server for processing. This can assist the user in determining, planning, detecting, verifying, and diagnosing the situation/environment, and conducting a complete evaluation and analysis of the importance of safety management and safety warning.
  • users can intuitively monitor different locations and different types of objects in the IoT environment, eliminating the need to use different in traditional modes. The system has trouble getting different types of information separately.
  • FIG. 2A shows a schematic diagram of a server in accordance with an embodiment of the present disclosure.
  • the server in Figure 2A can be implemented by any general purpose computer device.
  • the server 130 includes an input/output module 131, an adapter 132, a processor 133, and a development module 134.
  • the input/output module 131 is configured to receive information and data from the network 120 and transmit the data generated by the processor 133 and the development module 134 to the outside via the network 120.
  • the information received and transmitted by the input/output module 131 can be stored in any of the systems 100 integrated in the system described in the present disclosure or independent of the system 100.
  • the input/output module 131 transmits the output data to different terminal devices using HTML5 cross-platform technology.
  • the input/output module 131 can be implemented as any circuit unit capable of data transmission.
  • Adapter 132 is configured to perform data communication with sensing device 110 and to convert perceptual data from one or more different data communication protocols from one or more sensing sub-devices 110a-110n to a particular data type (eg, json data) .
  • Adapter 132 can include one or more sub-adapters 132a-132k. Each of the one or more sub-adapters 132a-132k is one of the one or more different data communication protocols described above.
  • the adapter 132 can use the socket communication technology to communicate with the access control subsystem by using the UDP protocol, and use the socket communication technology to communicate with the personnel positioning subsystem by using the TCP protocol.
  • the manner of data communication between the adapter 132 and the sensing device 110 will be described in detail below with reference to FIG.
  • the processor 133 is configured to perform analysis processing on data from different sensing sub-devices.
  • the processor 133 can perform big data analysis on the received data by means of big data collection, big data clarity, big data standardization, and big data structuring.
  • the processor 133 may also utilize a machine learning, deep learning approach to form a secure production supervision and processing solution based on the received data.
  • the development module 134 is configured to model the IoT scenario and provide visual representations using data from each of the perceptual sub-devices. For example, the application scenario of the Internet of Things and the data collected by each sensing device may be presented to the user in a two-dimensional/three-dimensional manner.
  • the development module 134 can build an application scenario of the Internet of Things based on a commonly used three-dimensional model development platform, and generate a corresponding environment model. For example, according to the factory scenario as an example in the present disclosure, the user can utilize the development module 134 and combine the CAD engineering drawings with the on-site measurement to perform three-dimensional modeling of the plant, equipment, fence and other fixed facilities, and can build the factory model. Stored in memory for repeated calls afterwards.
  • the development module 134 allows the user to edit the environment model.
  • the development module can compress the three-dimensional visualization model, the texture map, the script logic definition, and the like into one overall data package, and encrypt and protect the three-dimensional simulation data of one or more models to improve data security. .
  • processor 133 may generate display data for updating status data in the environmental model based on data from each of sub-adapters 132a-132k and a preset environmental model generated by development module 134.
  • the perceptual data from each of the perceptual sub-devices 110a-110n is associated with a sub-model in the environmental model.
  • data from an electronic positioning tag is associated with a coordinate system of an environmental model.
  • the perceptual data from the status sensor is associated with a corresponding device model in the environmental model.
  • the processor may include a monitoring module 1331, a patrol module 1332, and an alarm module 1333.
  • the monitoring module 1331 is configured to acquire real-time status data of the device.
  • data is propagated by means of a broadcast between data sets.
  • the real-time status data of the device can be obtained through the monitoring module.
  • the inspection module 1332 is used for inspection of the factory area.
  • the inspection mode can be manual and/or automatic inspection.
  • the manual patrol mode is to present the sensing data information acquired by each sensing sub-device on the user terminal in a free roaming manner in response to an instruction issued by the user from the user terminal. That is, the user can adjust the observation angle and the observation position of the environment model as needed, and acquire a visual display of the perceptual data information involved in the current perspective.
  • the automatic patrol mode is to display information acquired by each sensing sub-device (such as device status information) on the user terminal in sequence according to a predetermined line.
  • the program may be cyclically executed according to a preset period of the user. .
  • the alarm module 1333 is configured to issue an alert prompt to the user.
  • the information acquired by the sensing device such as temperature and humidity, cleanliness, device operating state, etc.
  • the alarm module can send an alert to the user terminal.
  • the system can automatically switch the model displayed on the user terminal to the optimal viewing angle of the alarm device and automatically pop up the parameter status window of the current alarm device.
  • the intelligent Internet of Things management system can implement and monitor the state of each object in the Internet of Things, and make real-time response and active control. Enhance information collection, collation and research through the improvement of information circulation channels, provide comprehensive, timely and reliable information for predicting the future development of the Internet of Things environment, and analyze the possibility of target deviation and take preventive measures in advance. Achieve unified processing and management.
  • FIG. 3 shows a schematic diagram of an architecture of a server in accordance with the present disclosure.
  • data from different perceptual sub-devices are filtered via an adapter and pushed to the central server.
  • the central server processes the received data from different application modules, and pushes the processed data to different terminal devices based on the WebSocket protocol, wherein the processed data may be data in Json format.
  • Using the hierarchical method shown in Figure 3 to process data, analyze data, respond to commands, and actively feedback, module decoupling, data separation, and easy deployment can be implemented.
  • the server in the intelligent Internet of Things management system disclosed in the present application adopts the JAVA language as a development language.
  • the server framework can include a SpringBoot framework for connecting Redis databases and Sockets.
  • the Redis database can be used for underlying communication and data fetching, and Socket can be used for upper two-way long links.
  • the middleware can be a tomcat9 server.
  • the SpringBoot framework has the advantages of convenient development and maintenance, and strong expansion capability.
  • the Redis database can be based on big data storage query, has the advantage of faster data acquisition, and has power-off recovery function; Socket technology is based on the underlying communication technology, its data transmission Efficiency is more efficient than HTTP requests.
  • the operation steps of the corresponding sub-adapter may include:
  • the operation steps of the corresponding sub-adapter may include:
  • Handle parsing byte streams convert to json objects, create webapi, and return json objects.
  • the server obtains the personnel information through the direct connection personnel information database (sqlserver), and the operation steps may include:
  • the operation steps of the corresponding sub-adapter may include:
  • the operation steps of the corresponding sub-adapter may include:
  • the operation steps of the corresponding sub-adapter may include:
  • Handle parsing byte streams convert to json objects, create webapi, and return json objects.
  • the intelligent Internet of Things management system provided by the present disclosure can combine, correlate and combine the data of the multi-sensor information source to obtain more accurate information estimation, thereby realizing the real-time and complete evaluation process of the Internet of Things environment.
  • FIG. 4 illustrates a method for a smart Internet of Things management system of the present disclosure. As shown in FIG. 4, process 400 includes:
  • Step 410 Receive first sensing data conforming to the first type of data transmission protocol from the one or more first sensing devices, and convert the first sensing data that conforms to the first type of data transmission protocol into a data transmission protocol conforming to the third type of data transmission protocol.
  • First sensing data wherein the first sensing data is associated with a first sub-model in a preset environment model.
  • Step 420 Receive second sensing data conforming to the second type of data transmission protocol from the one or more second sensing devices, and convert the second sensing data that conforms to the second type of data transmission protocol into a data transmission protocol conforming to the third type. Second sensing data, wherein the second sensing data is associated with a second sub-model in the preset environment model, wherein the second type of data transmission protocol is different from the first type of data transmission protocol .
  • Step 430 Generate a first sub-model and/or update including the update based on the first sensing data conforming to the third type of data transmission protocol, the second sensing data conforming to the third type of data transmission protocol, and the preset environment model.
  • the process 400 further includes the step 440 of transmitting the display data to the corresponding user terminal in response to a request from the user.
  • the smart Internet of Things management system according to the present disclosure can achieve at least the following visualization effects.
  • ⁇ 3D virtual visualization functions in the plant area such as viewing angle control, navigation map display, information display, etc.
  • Personnel location and traceability functions such as real-time display of personnel positions, regional range alarm prompts, etc.
  • Real-time monitoring of embedded functions such as monitoring area display, monitoring picture-in-picture display, etc.
  • ⁇ FMC device status display function such as real-time display of equipment, equipment failure alarm prompt, etc.
  • Access control status display function such as real-time display of access control status, switching of access control related monitoring screen
  • Tension fence data visualization function such as tension fence layout display, tension fence alarm prompt, etc.
  • the first sensing device may be a positioning device such as an electronic positioning tag
  • the electronic positioning tag is associated with a coordinate system in the preset environment model
  • the generating includes the updated
  • the display data of the preset environmental model of the first sub-model and/or the updated second sub-model includes:
  • the data from the electronic positioning tag is associated with the coordinate system of the environmental model. And displaying, according to the coordinate data received from the electronic positioning tag, display data including the preset environment model and a flag for displaying the electronic positioning tag on a coordinate corresponding to the preset environment model.
  • the second sensing device may be a state sensor for monitoring an environmental state, the state sensor being associated with a device model disposed in the preset environment model, and the generating includes Displaying the display data of the preset environmental model of the first sub-model and/or the updated second sub-model includes:
  • the perceptual data from the status sensor is associated with a corresponding device model in the environmental model.
  • a corresponding device model in the environmental model For example, associating the image data from the camera A with the camera model located in the environmental model corresponding to the actual position of the camera A, and the data from the temperature and humidity sensor and the space corresponding to the actual position of the temperature and humidity sensor in the environmental model (such as the machine room) A) Associate, associate data from device sensors with models of corresponding devices in the environmental model, and so on.
  • Display data for displaying the environmental state data as state data of the associated device model in the preset environment model is generated based on the environmental state data received from the state sensor.
  • the image data captured by the camera A is displayed as image data displayed by the corresponding camera model.
  • the user can retrieve the image captured by camera A by selecting the corresponding camera model on the user interface. Similarly, the user can view device status information, temperature and humidity information, etc. on the user interface.
  • the intelligent Internet of Things management method provided by the present disclosure can send data from different sensing devices in a complex Internet of Things to a unified server for processing. This can assist users in situational/environmental decision making, planning, detection, verification, diagnosis, and complete assessment and analysis of safety management and its importance.
  • users can intuitively monitor different objects in the IoT environment, eliminating the need to separately obtain information in different modes in the traditional mode. .
  • FIG. 5 illustrates a flow of data processing and transmission of an architecture of a server based on the present disclosure.
  • the system receives positioning data acquired from a positioning sensor.
  • the positioning data can be data based on the TCP protocol.
  • the positioning sensor pushes the positioning data to the corresponding adapter. In some embodiments, if the power of the positioning sensor is below a certain threshold, the positioning sensor will push an alert indicating that the battery is low.
  • the adapter can send a data message to the positioning sensor to cancel the alarm.
  • the adapter filters the positioning data based on a predetermined policy.
  • system issues a request for personnel information from the adapter.
  • the sensing child device returns the corresponding personnel information.
  • the system issues a request for device status information from the adapter.
  • the device pushes the device state to the adapter in response to a request from the adapter.
  • the adapter stores the received device state in memory.
  • the adapter converts data from different sensing devices that conform to different data transfer protocols into data that conforms to a particular data transfer protocol and pushes the converted data to a central server.
  • the adapter can push the converted data to the central server at predetermined intervals.
  • the data transfer process between the central server and the user terminal is also shown in FIG.
  • the user may send a login request to the central server through the user terminal, and the login request may include user information (such as a username, password, etc.).
  • the central server returns the login result to the user terminal.
  • a user can issue a Query Condition to a central server through a user terminal.
  • the central server can push context information to the user terminal in response to an environmental request sent by the user.
  • the central server can download the three-dimensional model from the user terminal via a URL.
  • the central server in response to an environmental request sent by the user, can push various information acquired by the sensing device to the user terminal.
  • the central server may push a notification/warning to the user terminal when the data acquired by the sensing sub-device satisfies a predetermined condition.
  • FIG. 6A shows a schematic diagram of a visual representation of an Internet of Things scene, in accordance with one embodiment of the present disclosure.
  • the personnel in the Internet of Things environment for example, the factory
  • the personnel in the Internet of Things environment include engineers 01 to 03, operators 01 to 03, and visitors 01 to 03.
  • Each of the above persons carries a location sensor that identifies personal information.
  • the positioning data from the positioning sensors is associated with the coordinates of the factory model.
  • the server Based on the positioning data collected by the positioning sensor (such as coordinate data), the server generates display data for updating coordinates in the factory model based on the preset factory model.
  • the server uses the coordinate data acquired from the positioning sensor carried by the engineer 01 to generate a mark (such as the humanoid mark in FIG. 6A) for indicating the position of the engineer 01 at the factory model.
  • the display device can display the mark of the engineer 01 generated above in the factory model.
  • FIG. 6B shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure.
  • the person icon in the Internet of Things environment for example, a factory
  • the person icon in the Internet of Things environment includes a person name, an employee number, and department information.
  • Each of the above persons carries a location sensor that identifies personal information.
  • the server generates a mark for indicating the location of the person in the factory model based on the positioning data collected by the position sensor carried by the person, and displays the person information of the person.
  • icons are also provided such that the user can select a particular type of sensor device information (eg, temperature and humidity, monitoring system, personnel information, access control system, FMC system) that he or she wishes to view.
  • the server may transmit display data corresponding to the user request to the display device based on the user's request.
  • the user can visually observe the position of the personnel in the plant and track the position of each person.
  • FIG. 7 shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure.
  • the data collected by the device status sensor on the actual device is associated with the model of the corresponding device in the plant model.
  • the system can display actual device status parameters (not shown) at the model of the corresponding device on the user terminal.
  • the system can issue a prompt to the user terminal, and display the location where the specific fault occurs in the three-dimensional model displayed by the user terminal (as shown in FIG. 7, the faulty device hotspot flashes on the map).
  • the system can automatically switch to the optimal viewing angle of the alarm device and automatically pop up the parameter status window of the current alarm device.
  • FIG. 8 shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure.
  • the user observes the monitoring information in the plant area using the factory model on the user terminal.
  • the factory model includes a model for each monitoring device in the monitoring subsystem. Users can visually see where the monitoring equipment is installed in the plant model.
  • the image data captured by each actual monitoring device is associated with a monitor model in the factory model that corresponds to the actual location of the monitoring device.
  • the user can call up the monitoring screen shot by the corresponding actual monitoring device by selecting the monitor model in the factory model.
  • the user can switch the viewing angle of the factory model by selecting an icon (such as "No. 1 Factory", "No. 2 Factory”) to select monitoring devices located at different locations.
  • the user can select a screen (such as "Monitor One", “Monitor 2") to select a screen of the monitoring device that is desired to be viewed among a plurality of monitoring devices existing in the same view.
  • the monitor screen can be displayed in a picture-in-picture manner in the scene of the three-dimensional model.
  • the user can issue an instruction to the monitoring device through the client to control the monitoring device to change the angle at which it was taken.
  • FIG. 9 shows a schematic diagram of a visual representation of an Internet of Things scene in accordance with one embodiment of the present disclosure.
  • the user can observe the environmental monitoring information of a certain area (such as the machine room) in the plant area in the factory model on the user terminal.
  • a certain area such as the machine room
  • the user can view the current data of the actual temperature and humidity sensor associated with it.
  • the monitoring temperature and humidity screen may be displayed in a prominent manner in the scene of the three dimensional model.
  • a tangible, permanent storage medium may include the memory or memory used by any computer, processor, or similar device or associated module. For example, various semiconductor memories, tape drives, disk drives or anything like that can provide storage functionality for software.
  • All software or parts of it may sometimes communicate over a network, such as the Internet or other communication networks.
  • Such communication can load software from one computer device or processor to another.
  • a system loaded from a server or host computer of an IoT system to a hardware environment of a computer environment, or other computer environment implementing the system, or a similar function related to the information required to provide the Internet of Things.
  • another medium capable of transmitting software elements can also be used as a physical connection between local devices, such as light waves, electric waves, electromagnetic waves, etc., to be propagated through cables, optical cables, or air.
  • Physical media used for carrier waves such as cables, wireless connections, or fiber optic cables can also be considered as media for carrying software.
  • a computer readable medium can take many forms, including tangible storage media, carrier media or physical transmission media.
  • Stable storage media may include optical or magnetic disks, as well as storage systems used in other computers or similar devices that enable the system components described in the Figures.
  • An unstable storage medium may include dynamic memory, such as main memory of a computer platform.
  • Tangible transmission media can include coaxial cables, copper cables, and optical fibers, such as lines forming a bus within a computer system.
  • the carrier transmission medium can transmit an electrical signal, an electromagnetic signal, an acoustic signal, or a light wave signal. These signals can be generated by methods of radio frequency or infrared data communication.
  • Typical computer readable media include hard disks, floppy disks, magnetic tape, any other magnetic media; CD-ROM, DVD, DVD-ROM, any other optical media; perforated cards, any other physical storage media containing aperture patterns; RAM, PROM , EPROM, FLASH-EPROM, any other memory slice or tape; a carrier, cable or carrier for transmitting data or instructions, any other program code and/or data that can be read by a computer. Many of these forms of computer readable media appear in the process of the processor executing instructions, passing one or more results.
  • Module in this application refers to logic or a set of software instructions stored in hardware, firmware.
  • a “module” as referred to herein can be executed by software and/or hardware modules or stored in any computer readable non-transitory medium or other storage device.
  • a software module can be compiled and linked into an executable program.
  • the software modules here can respond to information conveyed by themselves or other modules and/or can respond when certain events or interruptions are detected.
  • a software module can be provided on a computer readable medium, which can be arranged to perform operations on a computing device, such as a processor.
  • the computer readable medium herein can be an optical disc, a digital optical disc, a flash drive, a magnetic disk, or any other kind of tangible medium.
  • the software module can also be obtained through the digital download mode (the digital download here also includes the data stored in the compressed package or the installation package, which needs to be decompressed or decoded before execution).
  • the code of the software modules herein may be stored partially or wholly in the storage device of the computing device performing the operations and applied to the operation of the computing device.
  • Software instructions can be embedded in firmware, such as Erasable Programmable Read Only Memory (EPROM).
  • a hardware module can include logic elements that are connected together, such as a gate, a flip-flop, and/or include a programmable unit, such as a programmable gate array or processor.
  • the functions of the modules or computing devices described herein are preferably implemented as software modules, but may also be represented in hardware or firmware. In general, the modules mentioned here are logical modules and are not limited by their specific physical form or memory. A module can be combined with other modules or separated into a series of sub-modules.

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Abstract

本公开提供了用于物联网管理的方法，包括：从第一感知设备接收第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联；从第二感知设备接收第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与所述预设的环境模型中的第二子模型相关联，其中所述第二类数据传输协议与所述第一类数据传输协议是不同的；基于第一感知数据、第二感知数据以及预设的环境模型，生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据，其中所述第一子模型用所述第一感知数据更新，所述第二子模型用所述第二感知数据更新。

Description

一种智能物联网管理系统、方法以及服务器
相关申请的交叉引用
本申请要求于2017年9月13日提交的中国专利申请第201710823389.3的优先权，该中国专利申请的全文通过引用的方式结合于此以作为本申请的一部分。
技术领域
本公开涉及一种物联网管理系统。具体地，涉及一种基于来自不同感知设备的数据和预设的环境模型生成显示数据的方法、服务器和系统。
背景技术
随着工业厂区的建设规模不断增大，设备数量越来越多，监管系统(例如，基于位置服务(LBS)、视频监控(CCTV)、工厂监控平台(FAB monitoring client，FMC)、厂区动力设备及环境监控等系统)的种类繁多，管理人员对厂区管理的要求也越来越高。传统各个监管系统页面简单、内容单一、层次复杂并且相对独立，无法满足管理人员对厂区的“集中监控、统一管理”需求。
发明内容
根据本公开的一方面，提出了一种用于物联网管理的方法，包括：从一个或多个第一感知设备接收符合第一类数据传输协议的第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联；从一个或多个第二感知设备接收符合第二类数据传输协议的第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与所述预设的环境模型中的第二子模型相关联，其中所述第二类数据传输协议与所述第一类数据传输协议是不同的；基于符合第三类数据传输协议的第一感知数据、符合第三类 数据传输协议的第二感知数据以及所述预设的环境模型，生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据，其中所述第一子模型用所述第一感知数据更新，所述第二子模型用所述第二感知数据更新。
在一个实施例中，该方法进一步包括响应于来自用户的请求，发送所述显示数据。
在一个实施例中，所述第一感知设备是电子定位标签，所述电子定位标签与所述预设的环境模型中的坐标系相关联，并且所述生成用于在所述预设的环境模型中更新所述第一子模型的显示数据包括：根据从所述电子定位标签接收的坐标数据，生成用于在所述预设的环境模型中对应的坐标上显示指示所述电子定位标签的标记的显示数据。
在一个实施例中，所述第二感知设备是用于监控环境状态的状态传感器，所述状态传感器与布置在所述预设的环境模型中的设备模型相关联，并且所述生成用于在所述预设的环境模型中更新所述第二子模型的显示数据包括：根据从所述状态传感器接收的环境状态数据，生成用于在所述预设的环境模型中将所述环境状态数据显示为关联的设备模型的状态数据的显示数据。
在一个实施例中，所述状态传感器包括温度传感器、湿度传感器、摄像机、设备状态传感器。
在一个实施例中，所述方法进一步包括以对称的方式将第一感知数据和第第二感知数据分配给分布式的子处理器。
在一个实施例中，所述方法进一步包括将第一感知数据和第二感知数据以广播的方式发送给分布式的处理器；监听第一感知数据和第二感知数据。
在一个实施例中，在所述预设的环境模型中，基于预定的顺序循环地切换查看视角以顺序地生成用于更新多个设备模型中的每一个的状态数据的显示数据。
在一个实施例中，所述方法进一步包括：根据第一感知数据或第二感知数据获得第一判断结果；基于第一判断结果发出告警信号。
在一个实施例中，生成用于在所述预设的环境模型中更新所述第一子模型和所述第二子模型的显示数据包括：当基于第一感知数据发出告警信号时， 切换查看视角以显示与第一感知设备相关联的设备模型的参数状态；当基于第二感知数据发出告警信号时，切换查看视角以显示与第二感知设备相关联的设备模型的参数状态。
根据本公开的另一方面，提出了一种用于物联网系统的服务器，包括：适配器，所述适配器包括至少第一子适配器和第二子适配器，其中，所述第一子适配器配置成从一个或多个第一感知设备接收符合第一类数据传输协议的第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联；所述第二子适配器配置成从一个或多个第二感知设备接收符合第二类数据传输协议的第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与所述预设的环境模型中的第二子模型相关联，其中所述第一类数据传输协议与所述第二类数据传输协议是不同的；处理器，配置成基于符合第三类数据传输协议的第一感知数据、符合第三类数据传输协议的第二感知数据以及所述预设的环境模型，生成用于在所述预设的环境模型中更新所述第一子模型和所述第二子模型的状态的显示数据。
根据本公开的另一方面，提出了一种物联网系统，包括：感知设备，所述感知设备包括至少第一感知设备和第二感知设备，所述第一感知设备用于采集符合第一类数据传输协议的第一感知数据，所述第二感知数据用于采集符合第二类数据传输协议第二感知数据；服务器，配置成执行如前所述的方法的步骤；显示终端，配置成接收来自所述服务器的显示数据，并根据所述接收的显示数据显示更新的环境模型。
在一个实施例中，根据所述接收的显示数据显示更新的环境模型包括以虚拟现实的方式显示更新的环境模型。
附图说明
为了更清楚地说明本公开实施例的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员而言，在没有做出创造性劳动的 前提下，还可以根据这些附图获得其他的附图。以下附图并未刻意按实际尺寸等比例缩放绘制，重点在于示出本公开的主旨。
图1是根据本公开的实施例的一种智能物联网管理系统的示意图；
图2A示出了根据本公开的实施例的一种服务器的示意图；
图2B示出了根据本公开的实施例的一种处理器的示意图；
图3示出了根据本公开的服务器的一种架构的示意图；
图4示出了一种用于本公开的智能物联网管理系统的方法；
图5示出了基于本公开的服务器架构的数据处理和传输的流程；
图6A示出了根据本公开的一个实施例的物联网场景可视化呈现示意图；
图6B示出了根据本公开的一个实施例的物联网场景可视化呈现示意图；
图7示出了根据本公开的一个实施例的物联网场景可视化呈现示意图；
图8示出了根据本公开的一个实施例的物联网场景可视化呈现示意图；以及
图9示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。
具体实施方式
下面将结合附图对本公开实施例中的技术方案进行清楚、完整地描述，显而易见地，所描述的实施例仅仅是本公开的部分实施例，而不是全部的实施例。基于本公开实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，也属于本公开保护的范围。
本公开中使用的“第一”、“第二”以及类似的词语并不表示任何顺序、数量或者重要性，而只是用来区分不同的组成部分。同样，“包括”或者“包含”等类似的词语意指出现该词前面的元件或者物件涵盖出现在该词后面列举的元件或者物件及其等同，而不排除其他元件或者物件。“连接”或者“相连”等类似的词语并非限定于物理的或者机械的连接，而是可以包括电性的连接，不管是直接的还是间接的。“上”、“下”、“左”、“右”等仅用于表示相对位置关系，当被描述对象的绝对位置改变后，则该相对位置关系也可能相应地改变。
如本申请和权利要求书中所示，除非上下文明确提示例外情形，“一”、“一个”、“一种”和/或“该”等词并非特指单数，也可包括复数。一般说来，术语“包 括”与“包含”仅提示包括已明确标识的步骤和元素，而这些步骤和元素不构成一个排它性的罗列，方法或者设备也可能包含其他的步骤或元素。
虽然本申请对根据本申请的实施例的系统中的某些模块做出了各种引用，然而，任何数量的不同模块可以被使用并运行在用户终端和/或服务器上。所述模块仅是说明性的，并且所述系统和方法的不同方面可以使用不同模块。
本申请中使用了流程图用来说明根据本申请的实施例的系统所执行的操作。应当理解的是，前面或下面操作不一定按照顺序来精确地执行。相反，可以按照倒序或同时处理各种步骤。同时，也可以将其他操作添加到这些过程中，或从这些过程移除某一步或数步操作。
物联网(Internet of Things)指的是将无处不在(Ubiquitous)的末端设备(Devices)和设施(Facilities)，包括具备“内在智能”的传感器、移动终端、工业系统、楼控系统、家庭智能设施、视频监控系统等、和“外在使能”(Enabled)的“智能化物件或动物”或“智能尘埃”(Mote)，如贴上RFID的各种资产(Assets)、携带无线终端的个人与车辆等等，通过各种无线和/或有线的长距离和/或短距离通讯网络实现互联互通(M2M)、应用大集成(Grand Integration)、以及基于云计算的SaaS运营等模式，在内网(Intranet)、专网(Extranet)、和/或互联网(Internet)环境下，采用适当的信息安全保障机制，提供安全可控的、个性化的实时在线监测、定位追溯、报警联动、调度指挥、预案管理、远程控制、安全防范、远程维保、在线升级、统计报表、决策支持、领导桌面(如集中展示的Cockpit Dashboard)等管理和服务功能，对“万物”实现高效、节能、安全、环保的管理、控制、运营的的一体化。
下文中将以工厂作为示例描述本申请公开的智能物联网管理系统。然而，根据本公开的智能物联网管理系统的应用场景并不限制于此。例如，根据本公开的智能物联网管理系统还可以应用于医院、学校、家庭、写字楼、体育馆等其他公共服务或私人管理的场景。
图1是根据本公开的实施例的一种智能物联网管理系统100的示意图。智能物联网管理系统100可以包括感知设备110、网络120、服务器130、数据库140以及显示设备150。在下文中，智能物联网管理系统100也可以简称为系统100。
感知设备110包括一个或多个感知子设备110a-110n。感知设备110配置成采集来自周围环境或周围其他设备的信息。在一些实施例中，感知子设备110a-110n可以用于接收来自周围环境的数据。例如，感知子设备可以包括传感器设备。例如，感知子设备110a-110n可以包含红外传感器、体感传感器、脑电波传感器、速度传感器、加速度传感器、定位设备(全球定位系统(GPS)设备、全球导航卫星系统(GLONASS)设备、北斗导航系统设备、伽利略定位系统(Galileo)设备、准天顶卫星系统(QAZZ)设备、基站定位设备、Wi-Fi定位设备、UWB(Ultra Wideband)定位设备等)等检测用户状态、位置信息的传感器。又例如，感知子设备110a-110n还可以是用于采集图像/视频数据的摄像机、采集音频数据的麦克风、洁净度传感器、气压传感器、烟雾探测器等检测周围环境状态的传感器或设备。又例如，感知子设备110a-110n还可以是用于检测运行设备状态的机械式传感器、电阻式传感器、电感式传感器、压电式传感器、磁电式传感器、半导体敏感元件等。在一些示例中，感知子设备可以是由单独的传感器独立构成的，也可以是由多个相同或不同的传感器集成而成的。在另一实施例中，感知子设备110a-110n可以用于读取存储器中的数据。例如，感知子设备110a-110n可以是二维码/条形码读取器、RFID读卡器等。在另一实施例中，感知子设备110a-110n可以是智能终端。例如，感知子设备110a-110n可以是智能手机、平板电脑、笔记本电脑、个人数码助理(personal digital assistance，PDA)、智能可穿戴设备(如智能眼镜、智能手表、智能手环、智能指环、智能头盔)等。在另一实施例中，感知子设备110a-110n可以是输入设备如鼠标、键盘等。感知子设备110a-110n可以是一个实现上述周围信息的采集的独立硬件单元。上述一个或多个感知子设备110a-110n可以分别安装于系统100的不同位置或由用户佩戴或携带的。
以工厂为例，不同的感知子设备110a-110n可以根据其功能进行分类。例如，感知子设备可以是用于检测用户状态、位置信息的传感器构成的定位感知设备或用于监控环境状态的状态感知设备。例如，定位感知设备可以包括电子定位标签。又例如，状态感知设备可以包括用于拍摄周围环境的摄像机、用于监控人员进出状态的门禁、用于监控设备运行状态的设备状态传感器以及用于监控厂区内动力设备及环境变量的动力设备及环境系统传感器(如温 湿度传感器)等。
网络120用于在系统100的各部分之间接收并传送信息。网络120可以是单个网络，也可以是多个不同网络的组合。例如，网络120可能是一个局域网(local area network,LAN)、广域网(wide area network,WAN)、公用网络、私人网络、专有网络、公共交换电话网(public switched telephone network,PSTN)、互联网、无线网络、虚拟网络或者上述网络的任何组合。网络120也可以包括多个网络接入点，例如，如路由器/交换机与基站等在内的有线或无线接入点，通过这些接入点，任何数据源可以接入网络120并通过网络120发送信息。例如，网络120可以是工业以太网、移动通信网络。网络120的接入方式可以是有线或无线的。有线接入可以通过光纤或电缆等形式而实现。无线接入可以通过蓝牙、无线局域网(wireless local area network,WLAN)、Wi-Fi、WiMax、近距离无线通信(near field communication,NFC)、ZigBee、移动网络(2G、3G、4G、5G网络等)、窄带物联网(Narrow Band Internet of Things)NB-IOT或其他连接方式而实现。
服务器130用于基于来自感知子设备110a-110n采集的感知数据以及预设的环境模型，生成用于在环境模型中更新状态数据的显示数据。
服务器130可以是一个服务器硬件设备，或一个服务器群组。一个服务器群组内的各个服务器可以通过有线的或无线的网络进行连接。一个服务器群组可以是集中式的，例如数据中心。一个服务器群组也可以是分布式的，例如一个分布式系统。服务器130可以用于收集感知设备110所采集的信息，并基于数据库140对输入的信息进行分析及处理，生成输出内容并转化为图像及声音/文本信号传递给显示设备150。如图1所示，数据库140可以是独立的，直接与网络110相连。服务器130，或系统100中其他部分可以通过网络120直接访问数据库140。
在一个实施例中，服务器130可以包括中心服务器和一个或多个后备服务器，其中后备服务器与中心服务器的配置相同。当中心服务器承担的用户终端超过了最大负载时，会主动地将后续用户终端分配到后备服务器。后备服务器拥有中心服务器同样的功能。对分别承担的用户终端具有一致性。
在另一实施例中，服务器130可以将数据处理程序与Web服务器和其他 文件服务器分离。例如，服务器130可以包括静态文件服务器和Web服务器，其中静态文件服务器用于处理静态文件(三维数据、图片数据等)，Web服务器用于处理网页资源。因此，可以利用服务器集群来响应用户终端的获取请求，极大地减轻中心服务器的压力。
在另一实施例中，服务器130可以包括由一个或多个服务器以对称的方式组成的服务器集合。在这个服务器集合中包括中央服务器和后备服务器。其中每台服务器都具有等价的地位。每台服务器都可以单独处理来自感知设备的数据而无需服务器集合中的其他服务器的辅助。通将服务期集合接收的请求被均匀分配到对称结构中的某一台服务器上实现均衡负载，其中分配到请求的服务器可以独立地处理并回应请求。其中均衡负载算法可以包括依序轮询调度(Round Robin)算法、加权轮询调度算法、流量比例(Traffic)、使用者端(User)、应用类别(Application)、联机数量(Session)、服务类别(Service)、自动分配(Auto Mode)等。
利用均衡负载算法能够平均分配客户请求到服务器列阵，藉此提供快速获取重要数据的能力，并解决大量并发访问服务问题。利用群集技术可以用最低的成本获得接近于大型主机的性能。
在另一实施例中，服务器130可以是云计算平台，可以用于通过网络来提供动态的、易扩展的虚拟化资源。云计算平台可以提供可用的、便捷的、按需的网络访问，该网络访问可以进入可配置的计算资源共享池(资源包括网络、服务器、存储、应用软件、服务)。例如，服务器130可以在每个物理服务器节点(如X86服务器)处通过虚拟存储设备(Virtual Storage Appliance,VSA)管理节点内的存储设备(如硬盘驱动器HDD、固态硬盘SSD等)，并与其他节点中的VSA一起来构建一个集群的分布式存储。虚拟服务器(Hypervisor)可以位于应用层与基础架构层之间，能够抽象并池化计算、网络和存储资源，并拥有控制平面的功能。通过将多台服务器设备设置为具备计算、网络、存储和服务器虚拟化等资源，能够快速可弹性地提供云计算服务。在一些实施例中，服务器130可以由一个或多个处理器实现。
数据库140用于存储在智能物联网管理系统100中的用于计算机处理和/或通信使用的各种数据文件。例如，数据库140可以存储感知设备110采集 的环境数据、服务器130对上述环境数据进行分析与处理过程中产生的中间数据和/或最后得到的结果、根据上述环境数据生成的输出数据等。数据库140可以使用各种存储设备。例如，数据库140可以包括硬盘、固态存储设备、光盘等。在一些实施例中，数据库140还可以存储服务器130在进行数据处理时可以利用的其他数据。例如，服务器130在对上述环境数据进行分析与处理时需要使用的公式或规则、进行判断时所依据的判据或阈值等。
显示设备150可以基于服务器生成的内容可视化地向用户呈现感知设备110采集的环境数据的图像。上述图像可以包括文字、图片、视频等。在一个示例中，上述图像可以是二维或三维的。在一个示例中，显示设备150还可以输出声音信号(如警报提醒)。在一个实施例中，显示设备150可以是显示屏幕，并在显示屏幕上显示可视化的图像。例如，显示设备150可以是智能终端(如计算机、笔记本电脑、智能手机等)。并且，上述智能终端可以搭载不同的操作系统(如Windows、OS、Android、iOS、Windows Mobile等)。用户可以通过如浏览器等用户界面以网页格式使用智能物联网管理系统的各项功能。在另一实施例中，显示设备150可以是虚拟现实显示设备、全息图像显示设备、增强现实显示设备等。在另一实施例中，显示设备150也可以是投影设备。
利用本公开提供的智能物联网管理系统能够将复杂的物联网中来自不同感知设备的数据发送到统一的服务器进行处理。这可以辅助用户对态势/环境进行判定、规划、探测、验证、诊断，并对安全管理以及安全预警的重要程度进行完整的评估分析以及决策。此外，通过对物联网环境以及来自不同感知设备的环境数据进行建模，用户可以直观地对物联网环境中的不同位置、不同类型的对象进行统一监控，省去了在传统模式在必须使用不同的系统分别获取不同类型的信息的麻烦。
图2A示出了根据本公开的实施例的一种服务器的示意图。图2A中的服务器可以由任意的通用计算机设备来实现。服务器130包括输入/输出模块131、适配器132、处理器133以及开发模块134。
输入/输出模块131用于从网络120接收信息和数据，并将处理器133、开发模块134生成的数据通过网络120对外发送。输入/输出模块131接收和 发送的信息可以存储任何集成在本公开中描述的系统100中或独立于系统100外的存储设备中。在一个实施例中，输入/输出模块131使用HTML5跨平台技术将输出数据发送给不同的终端设备。本领域技术人员，输入/输出模块131可以实现为任何能够实现数据传输的电路单元。
适配器132用于与感知设备110进行数据通信，并将来自一个或多个感知子设备110a-110n的基于一个或多个不同的数据通信协议的感知数据转换为特定的数据类型(如json数据)。适配器132可以包括一个或多个子适配器132a-132k。其中上述一个或多个子适配器132a-132k中的每一个是用于上述一个或多个不同的数据通信协议中的一种数据通信协议。
适配器132可以运用socket通讯技术采用UDP协议与门禁子系统进行通讯、运用socket通讯技术采用TCP协议与人员定位子系统进行通讯。下文中将参考图3详细描述适配器132与感知设备110之间的数据通讯方式。
处理器133用于对来自不同感知子设备的数据进行分析处理。例如，处理器133可以利用大数据采集、大数据清晰、大数据标准化、大数据结构化的方式对接收的数据进行大数据分析。在另一个实例中，处理器133还可以利用机器学习、深度学习的方式，基于接收的数据形成安全生产监管与处理解决方案。
开发模块134用于对物联网场景进行建模，并利用来自各感知子设备的数据提供可视化的呈现。例如，可以以二维/三维的形式将物联网的应用场景以及各感知设备采集的数据呈现给用户。
开发模块134可以基于常用的三维模型开发平台对物联网的应用场景进行搭建，并生成相应的环境模型。例如，根据本公开中作为示例的工厂情景，用户可以利用开发模块134并结合CAD工程图纸与现场测量对工厂的厂房、设备、围栏等固定设施进行三维建模，并可以将建立好的工厂模型存储在存储器中用于之后重复调用。开发模块134允许用户对环境模型进行编辑。
在另一实施例中，开发模块可以将三维可视化模型、纹理贴图、脚本逻辑定义等压缩在一个整体数据包内，并且对一个或多个模型的三维仿真数据进行加密保护以提高数据的安全性。
在一个实施例中，处理器133可以基于来自子适配器132a-132k中的每一 个的数据以及由开发模块134生成的预设的环境模型，生成用于在环境模型中更新状态数据的显示数据。
在一个实施例中，来自感知子设备110a-110n的每一个的感知数据与环境模型中的一个子模型相关联。例如，来自电子定位标签的数据与环境模型的坐标系相关联。又例如，来自状态传感器的感知数据与环境模型中对应的设备模型相关联。如将来自摄像机A的图像数据与在环境模型中位于对应于摄像机A实际位置的摄像机模型相关联、将来自温湿度传感器的数据与环境模型中与温湿度传感器的实际位置对应的空间(如机房A)相关联、将来自设备传感器的数据与环境模型中对应设备的模型相关联，等等。
图2B示出了根据本公开的实施例的一种处理器的示意图。处理器可以包括监听模块1331、巡检模块1332、告警模块1333。
监听模块1331用于获取设备实时状态数据。在根据本公开的智能物联网管理系统中，数据在服务器集合之间通过广播的方式传播数据消息。通过监听模块可以获取设备实时状态数据。
巡检模块1332用于对厂区进行巡检。巡检方式可以是手动和/或自动巡检。手动巡检方式是响应于用户从用户终端发出的指令，以自由漫游的方式在用户终端上呈现各感知子设备获取的感知数据信息。即，用户可以根据需要调整环境模型的观察视角和观察位置，并获取当前视角下涉及的感知数据信息的可视化的显示。自动巡检方式是依照预定的线路依次在用户终端上显示各感知子设备获取的信息(如设备状态信息)，对于自动巡检来说，该程序可以是根据用户的预先设置的周期循环执行的。
告警模块1333用于向用户发出告警提示。例如，根据服务器将感知设备获取的信息(如温湿度、洁净度、设备运行状态等)与预定的告警区间进行比较，当获取的数据落入告警区间时(如超过某一特定的阈值)，告警模块可以向用户终端发出告警提示。例如，系统可以自动将用户终端上显示的模型切换到报警设备的最佳查看视角，并自动弹出当前告警设备的参数状态窗口。
利用本公开提供的智能物联网管理系统能够实施地监控物联网中各对象的状态，并作出实时响应和主动控制。通过信息流通渠道的改进加强了信息收集、整理和研究工作，为预测物联网环境未来发展状况提供全面、及时、 可靠的消息，并可以预先分析目标偏离的可能性并采取各项预防性措施，实现统一处理和管理。
图3示出了根据本公开的服务器的一种架构的示意图。如图3所示，来自不同感知子设备的数据分别经由适配器过滤，并将数据推送给中央服务器。中央服务器对接收的来自不同应用模块的数据进行处理，并将处理后的数据基于WebSocket协议推送给不同的终端设备，其中处理后的数据可以是Json格式的数据。采用如图3所示的分层方式进行处理数据、分析数据、响应命令、主动反馈，可以实现模块解耦和、数据分离、易部署的功能。
本申请公开的智能物联网管理系统中的服务器采用JAVA语言作为开发语言。服务器框架可以包括用于连接Redis数据库和Socket的SpringBoot框架，Redis数据库可以用于底层通讯与数据抓取，Socket可以用于上层的双向长链接。中间件可以是tomcat9服务器。其中SpringBoot框架具有开发维护便捷、扩展能力强的优势；Redis数据库可以基于大数据存储查询，具有获取数据速度更快的优势，并具备断电恢复功能；Socket技术是基于底层通讯技术，其数据传输效率比HTTP请求更为高效。
例如，与门禁子系统进行数据通讯时，对应的子适配器的操作步骤可以包括：
·使用socket通讯技术采用UDP协议进行数据连接，解析字节流数据，处理成json数据；
·创建webapi接口，返回门禁json数据。
又例如，与定位子系统进行数据通讯时，对应的子适配器的操作步骤可以包括：
·使用socket通讯技术采用TCP协议进行数据连接，接收传输过来的字节流信息；
·处理解析字节流，转化为json对象，创建webapi，返回json对象。
·当定位子系统用于人员定位时，服务器通过直连人员信息数据库(sqlserver)获取人员信息，其操作步骤可以包括：
·使用ADO EF技术连接读取人员信息数据库(sqlserver)，获取数据库表信息；
·处理人员信息类型，开放不同接口webapi，传输json数据给用户终端。
·又例如，与动力设备及环境子系统进行数据通讯时，对应的子适配器的操作步骤可以包括：
·使用socket通讯技术连接读取信息，解析字节流数据；
·处理字节流数据为json对象，开放对应webapi接口，返回json数据。
·又例如，与设备状态子系统进行数据通讯时，对应的子适配器的操作步骤可以包括：
·导出数据库文件成json格式文件，读取文件获取信息。
·当设备状态子系统向服务器发出告警时，对应的子适配器的操作步骤可以包括：
·使用socket通讯技术采用TCP协议进行数据连接，接收传输过来的字节流信息；
·处理解析字节流，转化为json对象，创建webapi，返回json对象。
利用本公开提供的智能物联网管理系统能够将多传感器信息源的数据加以联合、相关及组合，可以获得更为精确的信息估计，从而实现对物联网环境实时、完整评价的处理过程。
图4示出了一种用于本公开的智能物联网管理系统的方法。如图4所示，过程400包括：
步骤410：从一个或多个第一感知设备接收符合第一类数据传输协议的第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联。
步骤420：从一个或多个第二感知设备接收符合第二类数据传输协议的第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与所述预设的环境模型中的第二子模型相关联，其中所述第二类数据传输协议与所述第一类数据传输协议是不同的。
步骤430：基于符合第三类数据传输协议的第一感知数据、符合第三类数据传输协议的第二感知数据以及所述预设的环境模型，生成包括更新的第一子模型和/或更新的第二子模型的预设的环境模型的显示数据，其中第一子模型用所述第一感知数据更新，第二子模型用所述第二感知数据更新。
可选地，过程400还包括步骤440：响应于来自用户的请求，发送所述显示数据到相应的用户终端。
根据本公开的智能物联网管理系统可以实现至少以下可视化效果。
·厂区三维虚拟可视化功能，如视角控制、导航图显示、信息显示等；
·人员定位追溯功能，如人员位置实时显示、区域范围报警提示等；
·实时监控嵌入功能，如监控区域显示、监控画中画显示等；
·FMC设备状态展示功能，如设备实时显示、设备故障报警提示等；
·门禁状态展示功能，如门禁状态实时显示、门禁关联监控画面切换等；
·张力围栏数据可视化功能，如张力围栏布局显示、张力围栏报警提示等；
·工厂各区域温度、湿度、洁净度可视化功能，如机房温度湿度数据显示、机房温度湿度报警等。
在一个实施例中，所述第一感知设备可以是定位设备如电子定位标签，所述电子定位标签与所述预设的环境模型中的坐标系相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
根据从所述电子定位标签接收的坐标数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中对应的坐标上显示指示所述电子定位标签的标记的显示数据。
具体地，来自电子定位标签的数据与环境模型的坐标系相关联。根据从所述电子定位标签接收的坐标数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中对应的坐标上显示指示所述电子定位标签的标记的显示数据。
在另一实施例中，所述第二感知设备可以是用于监控环境状态的状态传 感器，所述状态传感器与布置在所述预设的环境模型中的设备模型相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
根据从所述状态传感器接收的环境状态数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中将所述环境状态数据显示为关联的设备模型的状态数据的显示数据。
具体地，来自状态传感器的感知数据与环境模型中对应的设备模型相关联。如将来自摄像机A的图像数据与在环境模型中位于对应于摄像机A实际位置的摄像机模型相关联、将来自温湿度传感器的数据与环境模型中与温湿度传感器的实际位置对应的空间(如机房A)相关联、将来自设备传感器的数据与环境模型中对应设备的模型相关联，等等。根据从所述状态传感器接收的环境状态数据，生成用于在所述预设的环境模型中将所述环境状态数据显示为关联的设备模型的状态数据的显示数据。例如，将摄像机A拍摄的图像数据显示为对应的摄像机模型显示的图像数据。用户可以在用户界面上通过选择对应的摄像机模型调取摄像机A拍摄的图像。类似的，用户可以在用户界面上查看设备状态信息、温湿度信息等。
利用本公开提供的智能物联网管理方法能够将复杂的物联网中来自不同感知设备的数据发送到统一的服务器进行处理。这可以辅助用户进行态势/环境判定、规划、探测、验证、诊断，对安全管理及其重要程度进行完整的评估分析以及决策。此外，通过对物联网环境以及来自不同感知设备的进行建模，用户可以直观地对物联网环境中的不同对象进行统一监控，省去了在传统模式在必须使用不同的系统分别获取信息的麻烦。
图5示出了基于本公开的服务器的架构的数据处理和传输的流程。
在一个实施例中，系统接收来自定位传感器采集的定位数据。如前所述，定位数据可以是基于TCP协议的数据。定位传感器将定位数据推送给对应的适配器。在一些实施例中，如果定位传感器的电量低于一定阈值，则定位传感器将推送指示电量不足的警报信息(warning)。适配器可以向定位传感器发出取消警报的数据信息。适配器基于预定策略对定位数据进行过滤。
在另一实施例中，系统从适配器发出人员信息的请求。响应于适配器发 出的请求，感知子设备返回相应的人员信息。
在一些实施例中，系统从适配器发出设备状态信息的请求。设备响应于适配器发出的请求将设备状态推送至适配器。在一个示例中，适配器将接收的设备状态存储在存储器中。
适配器将来自不同感知设备的符合不同数据传输协议的数据转换为符合特定数据传输协议的数据，并将转换后的数据推送到中央服务器。在一个实例中，适配器可以以预定的间隔将转换后的数据推送到中央服务器。
图5中还示出了中央服务器与用户终端之间的数据传输流程。例如，用户可以通过用户终端向中央服务器发送登入请求，登入请求可以包括用户信息(如用户名、密码等)。响应于用户发送的登入请求，中央服务器将登入结果返回到用户终端。
又例如，用户可以通过用户终端向中央服务器发出环境请求(Query Condition)。中央服务器可以响应于用户发送的环境请求向用户终端推送情景信息。在一个实例中，中央服务器可以经由URL从用户终端下载三维模型。
又例如，响应于用户发送的环境请求，中央服务器可以向用户终端推送感知设备获取的各种信息。
又例如，当感知子设备获取的数据满足预定条件时，中央服务器可以向用户终端推送通知/警告。
图6A示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。如图6A所示，物联网环境(以工厂为例)中的人员包括工程师01～03、操作员01～03、访客01～03。上述人员中的每一个携带有标识个人信息的定位传感器。如前所述，根据服务器接收的来自工程师01～03、操作员01～03、访客01～03携带的定位传感器的定位数据，其中来自定位传感器的定位数据与工厂模型的坐标相关联。根据定位传感器采集的定位数据(如坐标数据)，服务器基于预设的工厂模型生成用于在工厂模型中更新坐标的显示数据。例如，服务器利用来自工程师01携带的定位传感器采集的坐标数据，生成用于在工厂模型指示工程师01的位置的标记(如图6A中的人形标记)。显示设备可以将上述生成的工程师01的标记显示在工厂模型中。
图6B示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。 如图6B所示，物联网环境(以工厂为例)中的人员图标包括人员姓名、员工编号、部门信息。上述人员中的每一个携带有标识个人信息的定位传感器。如前所述，服务器基于人员携带的定位传感器采集的定位数据生成用于工厂模型中指示该人员的位置的标记，并显示该人员的人员信息。根据图6B中所示的用户界面，还提供了图标使得用户可以选择希望查看的特定类型的感知设备信息(如温度湿度、监控系统、人员信息、门禁系统、FMC系统)。服务器可以基于用户的请求，向显示设备发送对应于用户请求的显示数据。
根据基于定位传感器的三维呈现的工厂模型，用户可以直观地观察到厂区中人员的位置并对各人员的位置进行追踪。
图7示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。其中实际设备上的设备状态传感器采集的数据与工厂模型中对应的设备的模型相关联。基于设备状态传感器采集的数据，系统可以在用户终端上对应设备的模型处显示实际的设备状态参数(未示出)。如图7所示，当设备发生故障时，系统可以向用户终端发出提示，并在用户终端显示的三维模型中显示具体故障发生的位置(如图7中所示的地图上故障设备热点闪烁)。在一个示例中，系统可以自动切换到报警设备的最佳查看视角并自动弹出当前报警设备的参数状态窗口。
图8示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。用户在用户终端上利用工厂模型观察厂区内的监控信息。工厂模型中包括监控子系统中每个监控设备的模型。用户可以直观地在工厂模型中看到在哪些位置安装有监控设备。此外，每一个实际的监控设备拍摄的图像数据与工厂模型中对应于监控设备实际位置的监控器模型相关联。用户可以通过选择工厂模型中的监控器模型调出对应的实际监控设备拍摄的监控画面。如图8中所示，用户可以通过选择图标(如“一号工厂”、“二号工厂”)切换工厂模型的查看视角，以便选择位于不同位置的监控设备。此外，用户开可以通过选择图标(如“监控一”、“监控二”)以便在同一个视图中存在的多个监控设备中选择希望观看的监控设备的画面。在一个示例中，监控画面可以以画中画的方式显示在三维模型的场景中。在另一个示例中，用户可以通过客户端向监控设备发出指令，控制监控设备以改变其拍摄的角度。
图9示出了根据本公开的一个实施例的物联网场景可视化呈现示意图。用户可以在用户终端上在工厂模型中观察厂区内某区域(如机房)的环境监控信息。如图9所示，在工厂模型中存在多个温湿度计模型，这些温湿度计模型与实际机房中相应位置存在的温湿度传感器采集的数据相关联。通过选择多个温湿度计模型中的一个，用户可以查看与其关联的实际温湿度传感器的当前数据。在一个示例中，基于用户的请求，监控温湿度画面可以以突出方式显示在三维模型的场景中。
以上概述了提供智能物联网系统所需要的信息的方法的不同方面和/或通过程序实现其他步骤的方法。技术中的程序部分可以被认为是以可执行的代码和/或相关数据的形式而存在的“产品”或“制品”，通过计算机可读的介质所参与或实现的。有形的、永久的储存介质可以包括任何计算机、处理器、或类似设备或相关的模块所用到的内存或存储器。例如，各种半导体存储器、磁带驱动器、磁盘驱动器或者类似任何能够为软件提供存储功能的设备。
所有软件或其中的一部分有时可能会通过网络进行通信，如互联网或其他通信网络。此类通信可以将软件从一个计算机设备或处理器加载到另一个。例如：从物联网系统的一个服务器或主机计算机加载至一个计算机环境的硬件平台，或其他实现系统的计算机环境，或与提供物联网所需要的信息相关的类似功能的系统。因此，另一种能够传递软件元素的介质也可以被用作局部设备之间的物理连接，例如光波、电波、电磁波等，通过电缆、光缆或者空气等实现传播。用来载波的物理介质如电缆、无线连接或光缆等类似设备，也可以被认为是承载软件的介质。在这里的用法除非限制了有形的“储存”介质，其他表示计算机或机器“可读介质”的术语都表示在处理器执行任何指令的过程中参与的介质。
一个计算机可读的介质可能有多种形式，包括有形的存储介质，载波介质或物理传输介质等。稳定的储存介质可以包括：光盘或磁盘，以及其他计算机或类似设备中使用的，能够实现图中所描述的系统组件的存储系统。不稳定的存储介质可以包括动态内存，例如计算机平台的主内存等。有形的传输介质可以包括同轴电缆、铜电缆以及光纤，例如计算机系统内部形成总线的线路。载波传输介质可以传递电信号、电磁信号、声波信号或光波信号等。 这些信号可以由无线电频率或红外数据通信的方法所产生。通常的计算机可读介质包括硬盘、软盘、磁带、任何其他磁性介质；CD-ROM、DVD、DVD-ROM、任何其他光学介质；穿孔卡、任何其他包含小孔模式的物理存储介质；RAM、PROM、EPROM、FLASH-EPROM，任何其他存储器片或磁带；传输数据或指令的载波、电缆或传输载波的连接装置、任何其他可以利用计算机读取的程序代码和/或数据。这些计算机可读介质的形式中，会有很多种出现在处理器在执行指令、传递一个或更多结果的过程之中。
本申请中的“模块”指的是存储在硬件、固件中的逻辑或一组软件指令。这里所指的“模块”能够通过软件和/或硬件模块执行，或被存储于任何一种计算机可读的非临时媒介或其他存储设备中。在一些实施例中，一个软件模块可以被编译并连接到一个可执行的程序中。显然，这里的软件模块可以对自身或其他模块传递的信息做出回应，并且/或者可以在检测到某些事件或中断时做出回应。可以在一个计算机可读媒介上提供软件模块，该软件模块可以被设置为在计算设备上(例如处理器)执行操作。这里的计算机可读媒介可以是光盘、数字光盘、闪存盘、磁盘或任何其他种类的有形媒介。也可以通过数字下载的模式获取软件模块(这里的数字下载也包括存储在压缩包或安装包内的数据，在执行之前需要经过解压或解码操作)。这里的软件模块的代码可以被部分的或全部的储存在执行操作的计算设备的存储设备中，并应用在计算设备的操作之中。软件指令可以被植入在固件中，例如可擦可编程只读存储器(EPROM)。显然，硬件模块可以包含连接在一起的逻辑单元，例如门、触发器，以及/或包含可编程的单元，例如可编程的门阵列或处理器。这里所述的模块或计算设备的功能优选的作为软件模块实施，但是也可以被表示在硬件或固件中。一般情况下，这里所说的模块是逻辑模块，不受其具体的物理形态或存储器的限制。一个模块能够与其他的模块组合在一起，或被分隔成为一系列子模块。
除非另有定义，这里使用的所有术语(包括技术和科学术语)具有与本公开所属领域的普通技术人员共同理解的相同含义。还应当理解，诸如在通常字典里定义的那些术语应当被解释为具有与它们在相关技术的上下文中的含义相一致的含义，而不应用理想化或极度形式化的意义来解释，除非这里 明确地这样定义。
上面是对本公开的说明，而不应被认为是对其的限制。尽管描述了本公开的若干示例性实施例，但本领域技术人员将容易地理解，在不背离本公开的新颖教学和优点的前提下可以对示例性实施例进行许多修改。因此，所有这些修改都意图包含在权利要求书所限定的本公开范围内。应当理解，上面是对本公开的说明，而不应被认为是限于所公开的特定实施例，并且对所公开的实施例以及其他实施例的修改意图包含在所附权利要求书的范围内。本公开由权利要求书及其等效物限定。

Claims (22)

  1. 一种用于物联网管理的方法，包括：
    从一个或多个第一感知设备接收符合第一类数据传输协议的第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联；
    从一个或多个第二感知设备接收符合第二类数据传输协议的第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与所述预设的环境模型中的第二子模型相关联，其中所述第二类数据传输协议与所述第一类数据传输协议是不同的；以及
    基于符合第三类数据传输协议的第一感知数据、符合第三类数据传输协议的第二感知数据以及所述预设的环境模型，生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据，其中所述第一子模型用所述第一感知数据更新，所述第二子模型用所述第二感知数据更新。
  2. 如权利要求1所述的方法，进一步包括：
    响应于来自用户终端的请求，发送所述显示数据到相应的用户终端。
  3. 如权利要求1或2所述的方法，其中所述第一感知设备是电子定位标签，所述电子定位标签与所述预设的环境模型中的坐标系相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
    根据从所述电子定位标签接收的坐标数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中对应的坐标上显示指示所述电子定位标签的标记的显示数据。
  4. 如权利要求1或2所述的方法，其中所述第二感知设备是用于监控环境状态的状态传感器，所述状态传感器与布置在所述预设的环境模型中的设备模型相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
    根据从所述状态传感器接收的环境状态数据，生成包括所述预设的环境 模型和用于在所述预设的环境模型中将所述环境状态数据显示为关联的设备模型的状态数据的显示数据。
  5. 如权利要求4所述的方法，其中所述状态传感器包括温度传感器、湿度传感器、摄像机、设备状态传感器。
  6. 如权利要求1-5任一所述的方法，进一步包括以对称的方式将第一感知数据和第二感知数据分配给分布式的子处理器。
  7. 如权利要求6所述的方法，进一步包括
    将第一感知数据和第二感知数据以广播的方式发送给分布式的处理器；
    监听第一感知数据和第二感知数据。
  8. 如权利要求1-7任一所述的方法，进一步包括：
    在所述预设的环境模型中，基于预定的顺序循环地切换查看视角以顺序地生成用于更新多个设备模型中的每一个的状态数据的显示数据。
  9. 如权利要求1-8任一所述的方法，进一步包括：
    根据第一感知数据或第二感知数据获得第一判断结果；
    基于第一判断结果发出告警信号。
  10. 如权利要求9所述的方法，其中生成用于在所述预设的环境模型中更新所述第一子模型和所述第二子模型的显示数据包括：
    当基于第一感知数据发出告警信号时，切换查看视角以显示与第一感知设备相关联的设备模型的参数状态；
    当基于第二感知数据发出告警信号时，切换查看视角以显示与第二感知设备相关联的设备模型的参数状态。
  11. 一种用于物联网系统的服务器，包括：
    适配器，所述适配器包括至少第一子适配器和第二子适配器，其中，
    所述第一子适配器配置成从一个或多个第一感知设备接收符合第一类数据传输协议的第一感知数据，并将符合第一类数据传输协议的第一感知数据转换为符合第三类数据传输协议的第一感知数据，其中所述第一感知数据与预设的环境模型中的第一子模型相关联；
    所述第二子适配器配置成从一个或多个第二感知设备接收符合第二类数据传输协议的第二感知数据，并将符合第二类数据传输协议的第二感知数据转换为符合第三类数据传输协议的第二感知数据，其中所述第二感知数据与 所述预设的环境模型中的第二子模型相关联，其中所述第一类数据传输协议与所述第二类数据传输协议是不同的；以及
    处理器，配置成基于符合第三类数据传输协议的第一感知数据、符合第三类数据传输协议的第二感知数据以及所述预设的环境模型，生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据，其中所述第一子模型用所述第一感知数据更新，所述第二子模型用所述第二感知数据更新。
  12. 如权利要求11所述的服务器，进一步包括：
    输出模块，配置成响应于来自用户终端的请求，发送所述显示数据到相应的用户终端。
  13. 如权利要求11或12所述的服务器，其中所述第一感知设备是电子定位标签，所述电子定位标签与所述预设的环境模型中的坐标系相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
    根据从所述电子定位标签接收的坐标数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中对应的坐标上显示指示所述电子定位标签的标记的显示数据。
  14. 如权利要求11或12所述的服务器，其中所述第二感知设备是用于监控环境状态的状态传感器，所述状态传感器与布置在所述预设的环境模型中的设备模型相关联，并且所述生成包括更新的所述第一子模型和/或更新的所述第二子模型的所述预设的环境模型的显示数据包括：
    根据从所述状态传感器接收的环境状态数据，生成包括所述预设的环境模型和用于在所述预设的环境模型中将所述环境状态数据显示为关联的设备模型的状态数据的显示数据。
  15. 如权利要求11-14任一所述的服务器，所述处理器进一步配置成：
    以对称的方式将第一感知数据和第二感知数据分配给分布式的子处理器。
  16. 如权利要求15所述的服务器，所述处理器进一步配置成：
    获取以广播的方式发送给分布式的子处理器的第一感知数据和第二感知数据。
  17. 如权利要求11-16任一所述的服务器，所述处理器进一步配置成：
    在所述预设的环境模型中，基于预定的顺序循环地切换查看视角以顺序地生成用于更新多个设备模型中的每一个的状态数据的显示数据。
  18. 如权利要求11-17任一所述的服务器，所述处理器进一步配置成：
    根据第一感知数据或第二感知数据获得第一判断结果，并基于第一判断结果发出告警信号。
  19. 如权利要求18所述的服务器，其中所述处理器进一步配置成，
    当基于第一感知数据发出告警信号时，切换查看视角以显示与第一感知设备相关联的设备模型的参数状态；
    当基于第二感知数据发出告警信号时，切换查看视角以显示与第二感知设备相关联的设备模型的参数状态。
  20. 一种物联网系统，包括：
    感知设备，所述感知设备包括至少第一感知设备和第二感知设备，所述第一感知设备用于采集符合第一类数据传输协议的第一感知数据，所述第二感知数据用于采集符合第二类数据传输协议第二感知数据；
    服务器，配置成执行如权利要求1-9所述的方法的步骤；
    显示终端，配置成接收来自所述服务器的显示数据，并根据所述接收的显示数据显示更新的环境模型。
  21. 如权利要求20所述的物联网系统，其中根据所述接收的显示数据显示更新的环境模型包括以虚拟现实的方式显示更新的环境模型。
  22. 如权利要求20所述的物联网系统，其中所述状态传感器包括温度传感器、湿度传感器、摄像机。
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