Chinese Academy of Sciences

Ningbo Zkjh New Material Co., Ltd.

Haibin Yu

Peng Zeng

Xiaoling Zhang

Jianming Zhao

Tianyu Wang

Xianda Liu

Dong Li

Jindi Liu

Zhibo Li

Xueting Yu

Bowen Zhang

Yang Liu

Yang Li

Miao Yang

Bo Yang

Shuai Liu

Meng Zheng

Chaofan Ma

Lanxiang Sun

Zhibo Cong

Weijie Xu

Zhao Shi

Xing Tong

Chunyu Chen

Ming Yang

Wei Shan Dong

Wei Liang

Yutuo Yang

Zhijia Yang

Jinchao Xiao

Jun Wang

Wenli Shang

Ming Wan

Manyi Du

Zhongwen Li

Yan Zheng

Yong Xin

Lin Gu

Lifeng Qi

Jie He

Zhijun Shang

Shiwei Peng

Changqing Xia

Shiming Li

Xi Jin

Chi Xu

Xiaoyu Liu

Shuo Li

Chuanzhi Zang

An online detection device underwater elements includes an LIBS system in a sealing pressure chamber and an external airflow control system. The airflow control system has a gas probe bin and a gas source. An opening is formed at one end of the gas probe bin while the other end and the sealing pressure chamber are hermetically partitioned through a glass window. A laser in the LIES system outputs laser to an underwater object surface to be detected for generating plasma spectra. A spectrometer collects plasma spectra returned along an original optical path. When the device operates in water, the balance gas storage tank produces gas with the same pressure as underwater. A flow model is invoked according to the current water pressure to accurately control the air flow rate to form a stable gas environment in the gas probe, which improves the plasma excitation and collection efficiency.

Online detection device and method for underwater elements based on LIBS technology

An industrial 5G dynamic multi-priority multi-access method based on deep reinforcement learning includes the following steps: establishing an industrial 5G network model; establishing a dynamic multi-priority multi-channel access neural network model based on deep reinforcement learning; collecting state, action and reward information of multiple time slots of all industrial 5G terminals in the industrial 5G network as training data; training the neural network model by using the collected data until the packet loss ratio and end-to-end latency meet industrial communication requirements; collecting the state information of all the industrial 5G terminals in the industrial 5G network at the current time slot as the input of the neural network model; conducting multi-priority channel allocation; and conducting multi-access by the industrial 5G terminals according to a channel allocation result. The method allocates multiple channels to the industrial 5G terminals of different priorities in the industrial 5G network in real time to ensure large-scale concurrent access.

Industrial 5G dynamic multi-priority multi-access method based on deep reinforcement learning

The present invention discloses a data forwarding unit based on a Handle identifier, comprising a dynamic configuration module, a Handle identifier data identification module and a matching-forwarding module. The system of the present invention is applied to network devices such as switches and routers, and supports dynamic configuration of data packet analysis, matching and forwarding rules through data interaction with network systems such as SDN managers, so that the network devices can identify data packets based on the Handle identifier and perform the specified operation on the designated data packets with the Handle identifier according to the rules of dynamic configuration.

Data forwarding unit based on handle identifier

The present invention relates to a network guard unit for an industrial embedded system and a guard method. The specific method is to form the network guard unit (NGU) through security technologies, such as integrated access control, identity authentication and communication data encryption, to provide active guard for a site control device. The NGU comprises an access control module, an identity authentication module, a data encryption module, a key negotiation module and a PCIE communication module, and supports the communication modes of dual network cards and PCIE bus. The present invention builds a secure and trusted operating environment for industrial control systems in combination with an active guard technical means in the field of information security on the basis of ensuring the correctness and the feasibility of security of various terminal devices in the industrial control systems.

Network guard unit for industrial embedded system and guard method

The present invention relates to a security processing unit of PLC and a bus arbitration method thereof, to provide PLC with an active defense means to build a PLC hardware and software security layer. On a hardware security layer, a part of hardware processing mechanism is added to support trusted measurement, encryption algorithms and signature algorithms, and a virtual isolation technology is used; and on a software security layer, transparent encryption and decryption, integrity verification, backup recovery and virtual isolation security mechanism are provided. The security processing aspect is improved to achieve the purpose of security and reliability. The present invention can correctly establish a trusted environment of PLC to ensure that PLC is guided by a strictly verified path. A new star type trusted structure is designed to reduce loss during information transmission and increase information transmission efficiency.

Security processing unit of PLC and bus arbitration method thereof

The present invention relates to a dynamic security method and system based on multi-fusion linkage response. In the method, a site control device conducts active response and passive response through identity authentication and key management to give an alarm for abnormal behaviors. The system comprises an access authentication active response module, an access control active response module, an access control passive response module, an abnormal pretending passive response module, a key vulnerability passive response module and an abnormal state passive response mechanism module. On the basis of ensuring validity and feasibility for the security of a terminal device, the present invention can build a secure and trusted industrial control system operating environment.

Dynamic security method and system based on multi-fusion linkage response

The present invention discloses a method for trusted booting of PLC based on a measurement mechanism, comprising the following steps: a step of initializing self firmware verification; a step of reading and computing firmware information about a PLC; a step of checking and storing one by one; and a step of verifying at the operation start stage. In the method of the present invention, a chip with a trusted function is used as a core of hardware computation. The PLC extends a Flash bus for loading by hardware of the method of the present invention. The hardware of the method of the present invention recognizes necessary boot information, verifies the integrity of the boot loader necessary for the PLC system through the integrity check method and ensures that the booted PLC system is in a trusted state. On the basis of ensuring validity and feasibility for the safety of a terminal device, the present invention can build a safe and trusted industrial control system operating environment.

Method for trusted booting of PLC based on measurement mechanism

The present invention relates to cognitive wireless sensor network technologies, and in particular to a medium access control method for a cognitive sensor network based on broadcast preamble sampling. A cognitive node in the cognitive sensor network adopts a periodical dormancy-awakening mechanism. Firstly, a state of a primary user is judged by using a spectrum sensing technology. If the primary user is not active, a data sending node establishes a communication link by using a broadcast preamble code. Each neighbor node simultaneously considers information of hops from a gateway according to an awakening order, and independently determines to serve as a relay node for forwarding data. Furthermore, a transmission conflict between the cognitive node and the primary user may be caused due to return or missed alarm of the primary user. The present invention adopts a retransmission mechanism based on confirmation to ensure transmission reliability of data packets. The present invention is independent of a common control channel, and can realize reliable access of the cognitive sensor network for an authorized frequency band at low overhead.

Medium access control method based on broadcast preamble sampling for cognitive sensor network

The present disclosure provides a method for dispersing graphene. The method includes the following steps: providing a graphene material and a graphene dispersant, wherein the graphene dispersant comprises aniline oligomer or aniline oligomer derivative, the aniline oligomer or aniline oligomer derivative is an electroactive polymer, and the aniline oligomer or aniline oligomer derivative is able to combine with the graphene material via &#x3c0;-&#x3c0; bond; and adding the graphene material and the graphene dispersant to a dispersing medium, making the aniline oligomer or aniline oligomer derivative combine with the graphene material via &#x3c0;-&#x3c0; bond, and dispersing the graphene material in the dispersing medium by the graphene dispersant.

Graphene dispersant and application thereof

The present invention relates to a Torus-Quorum based channel rendezvous method for directional antennas. A pair of directional antennas facing any side initially points to the other party mutually in one Torus-Quorum system cycle through a rotation closure attribute of a Torus-Quorum system; and a receiver and a sender switch to a same available channel according to frequency hopping sequences to realize channel rendezvous. In the Torus-Quorum based channel rendezvous method for directional antennas proposed in the present invention, the directional antennas are rotated based on the Torus-Quorum, and elements are ensured to coincide with each other within limited time through the rotation closure attribute of the Torus-Quorum system, i.e., directions are opposite, thereby effectively shortening channel rendezvous time of the directional antennas.

Torus-Quorum based channel rendezvous method for directional antennas

The present invention relates to the field of architecture of Internet of Things, specifically to a semantics-based architectural model of Internet of Things. The present invention puts forward the architecture of the Internet of Things based on the study of semantic Web, sensor network, sensor Web, wherein the architecture is divided into 7 layers: physical layer, perception layer, gateway layer, data layer, semantic layer, service layer and application layer. By means of semantic processing of sensor data and building of sensor ontology, the architecture is capable of realizing automatic discovery of heterogeneous resources, enhancing the expression ability of data, achieving effective sharing, reuse, integration, and access to data, improving interoperability of resources and accomplishing intellectualized service.

Semantics-based architectural model of the internet of things

Low power consumption networking method for 802.15.4e wireless device 'WD' taking 4-20 mA loop power, including: a 'WD' taking loop power; constructing a WD oriented to ultra-low power consumption; the WD implementing unidirectional time synchronization based on preceding wireless network; on basis of preceding time synchronization, completing neighbor discovery; the WD interacting with the wireless network; and pausing a preceding procedure according to a power monitoring result of an energy storage monitoring module. Messages are detected through continuously switching channels to implement quick and energy-saving unidirectional time synchronization, replaces listening on beacon frames with listening on common messages on a time synchronization basis, improves a listening sequence for neighbor discovery, enables listening only at a time slot where the beacon frames may appear and sleeps at other times, saving channel search time, and also reducing energy consumption generated in neighbor discovery, thus reducing time and energy consumption of entire network establishment.

Low power consumption networking method of 802.15.4e wireless device that takes power based on 4-20mA loop

Proposed is an anomaly detection method for communication behaviors in an industrial control system based on an OCSVM algorithm. According to the present invention, a normal behavior profile model and an abnormal behavior profile model, i.e. a dual-outline model, of communication behaviors in an industrial control system are established, parameter optimization is performed by means of a particle swarm optimization (PSO) algorithm, an optimal intrusion detection model is obtained, and abnormal Modbus TCP communication traffic is identified. According to the present invention, the false alarm rate is reduced by means of cooperative discrimination of the dual-outline detection model, the efficiency and reliability of anomaly detection are improved, and the method is more applicable to practical applications.

Modbus TCP communication behaviour anomaly detection method based on OCSVM dual-outline model

The present invention relates to a robust coverage method for relay nodes in a double-layer structure wireless sensor network. The present invention is a local search based relay node 2-coverage deployment algorithm which, by means of reducing the global deployment problem to a local deployment problem, achieves optimal deployment while ensuring robustness. The method specifically comprises two steps: first 1-coverage and second 1-coverage, wherein the first 1-coverage comprises the three steps of construction of relay node candidate deployment locations, grouping of sensor nodes and local deployment of relay nodes, wherein the sensor nodes are grouped by means of a novel grouping method, and the complexity of the algorithm is reduced while ensuring optimal deployment. The second 1-coverage adjusts a threshold, selects from every group the sensor nodes covered by just one relay node, and uses a 1-coverage method to re-implement 1-coverage of the sensor nodes, thereby ensuring robustness, reducing the number of relay nodes deployed, and shortening the problem-saving time.

Robust coverage method for relay nodes in double-layer structure wireless sensor network

The present invention relates to the technical field of terminal devices of the Internet of Things, more specifically to a semantic method for terminal devices of the Internet of Things capable of analyzing the application characteristics of terminal devices of the Internet of Things, setting down the rules for building ontology base; analyzing and building initial ontology base by using the ontology base building tool; pre-processing information from network and sensors; collecting information uploaded by sensors, updating the initial ontology base, and expanding the ontology base by collecting information searched by network. The method establishes program plan by object-oriented mode, analyzes implementing results by using existing test data or simulated data, and realizes domain updating and expansion of sensor ontology according to specific applications. The whole development and evolution of sensor ontology is increasing gradually in a spiral form.

Semantic method for terminal devices of internet of things

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Liaoning, China

Haibin Yu