Chongqing University of Posts and Telecommunications

Chongqin University of Posts and Telecommunications

Chongqing Norsda Medical Device Co., Ltd.

Institute of Industrial Internet, Chongqing University of Posts and Telecommunications

Institute of Industrial Internet, Chonqing University of Posts and Telecommunications

Ping Wang

Min Wei

Heng Wang

Chenggen Pu

Tao Yang

Jiuchao Mao

Yi Wang

Yan Zhang

Pengfei Gong

Qingqing Huang

Zhen Kang

Shuang Niu

Bin Fang

Zhao Yang

Peng Fei Chen

Xiaoyun Li

Ji Zou

Yiming Xing

XueQin Xiang

Quan Wang

XianChun Yan

Hang Yang

Xu Yang

Caiqin Li

Er Xiong Liang

Chang Zhang

Yuan Zhuang

Xiaobo Xu

Yan Han

Jiacao Zhou

Xiaoyuan Xu

Qingyun Fu

Yandan Yin

Qiaoyue Pang

Yifu Yang

Haiyong Zeng

Fanchuan Zeng

Rong Li

Junrui Wu

The present invention relates to a cross-network time synchronization method for industrial wireless network and TSN fusion, which belongs to the field of Industrial Internet, comprising the following steps: S: conducting clock synchronization by a TSN module of a border gateway with a TSN switch of a TSNin a slave clock state; S: inside the border gateway, using the TSN module as a master clock of an industrial wireless module, and conducting clock synchronization by the industrial wireless module with the TSN module through a serial port; S: conducting clock synchronization by a routing device in the industrial wireless network with the industrial wireless module of the border gateway through a beacon frame synchronization mode in the slave clock state, and conducting clock synchronization by the routing device as the master clock of a node device for the node device; S: conducting clock synchronization by a terminal side conversion node in the slave clock state with the node device in the industrial wireless network through a timestamp-free synchronization mode, and finally, synchronizing a TSN switch of a TSNwith the terminal side conversion node in the slave clock state.

Cross-network time synchronization method for industrial wireless network and TSN fusion

The present invention relates to a consensus-based clock synchronization skew estimation method based on sequential least squares, and belongs to the technical field of wireless sensor networks. The method is to establish a relationship model of clock information and time delay between nodes with respect to a bounded random communication time delay scenario subject to arbitrary distribution, fully consider all clock information received by a node from a neighbor, build a clock parameter estimation model and a cost function based on a least squares principle, iteratively estimate relative clock skew by a sequential least squares method, and update logical clock parameters of nodes by a consensus-based clock synchronization method, so as to achieve global clock consistency of all nodes in a network in a completely distributed way. The present invention improves accuracy of relative skew estimation, effectively reduces storage overhead of the nodes, and improves robustness of a consensus-based synchronization algorithm against communication time delay.

Consistent clock synchronization frequency offset estimation method based on sequential least squares

The present invention relates to an improved KNN-based 6LoWPAN network intrusion detection method. The present invention selects quantifiable security features which can reflect a self-security state of network elements of a 6LoWPAN network for training, and establishes a 6LoWPAN network feature space. The present invention assigns the weights to the features and transfers zero points, to alleviate the bias caused by large and small impact factors and simplify calculation; realizes construction and update of a state data table of network elements by extracting the feature data of network elements in real time, thus forming a normal contour updated according to the real-time state of the network in the feature space of the 6LoWPAN network based on the clustering effect of a KNN algorithm; and the present invention improves the KNN algorithm and redefines a basis for judging the invasion, to meet the requirements for 6LoWPAN network intrusion detection.

KNN—based 6LoWPAN network intrusion detection method

The present disclosure provides a method for sweat volume detection based on sweat print imaging, comprising: obtaining a raw data set, the raw data set including at least one sweat print image formed by dropping different volumes of sweat on a test paper under different environmental parameters; obtaining a color value extreme of the sweat print image and dividing the sweat print image into at least one region; calculating a sweat error based on a total sweat collection volume and a real sweat volume; obtaining a trained error prediction model; obtaining a to-be-tested sweat print image and current environmental parameters; inputting the current environmental parameters and a count of regions of the to-be tested sweat print image into the trained error prediction model to determine a sweat error of the to-be-tested sweat print image; calculating a sweat volume and a sweat rate based on the sweat error.

Methods for sweat volume detection based on sweat print imaging

The present invention relates to a judgment method for edge node computing result trustworthiness based on trust evaluation, and belongs to the technical field of data processing. By means of the present invention, a security mechanism for trustworthiness of a computing result output by an industrial edge node is guaranteed, the industrial edge node is prevented from outputting error data, and attacks of false data of malicious edge nodes are resisted, it is guaranteed that trustworthy computing results not be tampered are input in the industrial cloud, and a site device is made to receive correct computing results rather than malicious or meaningless messages, thereby improving efficiency and security of industrial production.

Judgment method for edge node computing result trustworthiness based on trust evaluation

Disclosed is an OPC UA-based centralized user configuration method and system for a time-sensitive network. The system includes user terminal stations, a UA-TSN configuration management middleware and a centralized user configuration entity. The user terminal station includes a plurality of field devices and a UA-TSN coordinator; the UA-TSN configuration management middleware obtains an OPC UA address information list by accessing the UA-TSN coordinator; and the centralized user configuration entity extracts and analyzes TSN stream demand information aggregated in the UA-TSN configuration management middleware. According to the present disclosure, the automatic transmission and configuration of TSN network scheduling information are realized, and the operation complexity in the large-scale TSN network configuration process is reduced.

OPC UA-based centralized user configuration method and system for time-sensitive network

Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.

Prediction method for tool remaining life of numerical control machine tool based on hybrid neural model

The present invention provides a factory power management and control method based on edge-cloud coordination, including: 1) forming an industrial field network by a field node, a routing node and a device executing production tasks; 2) parsing production task information data and sending; 3) issuing an STN model in production field to an edge node; 4) sending to the edge node; 5) computing, required to complete the production tasks; 6) computing values of comprehensive ranks; 7) executing, by the edge node, the higher rank, and executing, by the cloud power management center, the lower rank; 8) executing, by the edge node, a demand response algorithm; 9) executing, by the production device, the production tasks based on computing results; and executing, by a power generation station in factory, a power storage station in factory and a power supply station outside factory, corresponding schemes based on the results.

Factory power management and control system and method based on edge-cloud coordination

A scheduling method applied in an industrial heterogeneous network in which a TSN and a non-TSN are interconnected is provided. The TSSDN controller classifies data flows according to the delay requirements, and calculates the scheduling priorities of the data flows in the industrial heterogeneous network. The TSSDN controller adopts an improved CSPF algorithm to determine a shortest path in the heterogeneous network, and marks the scheduling priorities of the data flows which are transmitted from the subnet of the heterogeneous network and arrive at the switch for the first time. Flow table matching is performed at the SDN switch. In a case of performing flow table matching successfully, the counter is updated and the instruction included in the flow table is executed. In a case of performing flow table matching unsuccessfully, a PacketIn message is transmitted to the TSSDN controller, and the TSSDN controller performs analysis and makes a decision.

Scheduling method applied in industrial heterogeneous network in which TSN and non-TSN are interconnected

The present invention relates to an IPv6 wireless sensor network node mobility management method based on RPL routing protocol. The present invention achieves the following: first, placing an RSSI in an ACK frame so as to detect the mobile state of a node and improve the accuracy of mobile detection; second, on the premise of compatibility with an original RPL routing protocol, improving the options for DIS and DAO in selecting the optimal parent node and updating a routing table; and finally, designing a cache method to prevent messages sent to the mobile node from being lost in the process of moving, and designing a new 6LoWPAN header so as to complete message caching.

IPV6 node mobility management method based on RPL routing protocol

Provided is a data security sharing method for multiple edge nodes to operate in a collaboration mode under an industrial cloud environment. The method includes: firstly, edge nodes that need collaborative computing separately applying for a shared key to an authority center; secondly, the authority center generating a shared key and issuing the key to each of the edge nodes applying for participation in the collaborative computing; again, the edge nodes combining industrial characteristics to generate an interference factor set, and adding different interference factors for different types of data; then, the data of the edge nodes is implemented with improved homomorphic encryption and is uploaded to an industrial cloud platform; and finally, the industrial cloud platform performing homomorphic analysis and computing on the data uploaded by each of the edge nodes, and issuing the data back to each of the edge nodes.

Data security sharing method in multi-edge node collaboration mode under industrial cloud environment

The present invention relates to a DDoS attack detection and mitigation method for an industrial SDN network, and belongs to the field of network security. According to the method, by means of the cooperation between an east-west interface of an SDN controller in an industrial backhaul network and a system manager of an industrial access network, in conjunction with the features of the industrial backhaul network and an industrial access network data packet, a flow entry matching field of an OpenFlow switch is extended, and a flow table 0 is set to be a 'flow table dedicated to DDoS attack mitigation' for defending against an attacking data flow in a timely manner. By using the SDN controller of an industrial backhaul network and a DDoS attack detection and mitigation system, an attacking data flow is identified and a DDoS attack source is found, and the policy of mitigating a DDoS attack is implemented by means of scheduling a system manager of the industrial access network. According to the present invention, the normal traffic of an industrial backhaul network and an industrial access network is ensured, and a threat posed by a DDoS attack to the security of an industrial network is overcome.

DDOS attack detection and mitigation method for industrial SDN network

The present invention relates to a deterministic scheduling method oriented to an industrial wireless WIA-PA network, and belongs to the technical field of industrial wireless network communication. According to the deterministic scheduling method, in middle and small scale WIA-PA networks, a scheduling solution can be obtained using an optimal deterministic scheduling method based on a backtracking method by establishing a solution space tree for data stream scheduling after part or all of the solution space tree is searched, and an optimal success rate of the scheduling can be obtained; and in a large scale WIA-PA network, the time margin of each time slot is calculated for each data stream using a suboptimal deterministic scheduling method based on least slack first, the scheduling is prioritized according to the time margin, and a scheduling solution can be obtained in a short time at a higher success rate. With the deterministic scheduling method provided by the present invention, both time slots and channel resources can be reasonably distributed for the transmission of respective data streams within the whole network, thereby avoiding the conflict of communication links and solving the deterministic problem of end-to-end data stream transmission across the WIA-PA network.

Deterministic scheduling method oriented to industrial wireless WIA-PA network

The present invention relates to an SDN-based WIA-PA field network/IPv6 backhaul network joint scheduling method, which belongs to the technical field of industrial networks. Specific to the currently existing problems on data interaction among multiple WIA-PA networks and between the WIA-PA network and an IPv6 network, the method implements a scheduling function for a WIA-PA data stream in the IPv6 backhaul network and adds a joint control function for supporting a WIA-PA network manager in an SDN controller based on the IPv6 backhaul network according to the self-characteristics and application requirements of the WIA-PA network. The present invention not only implements the joint scheduling of a cross-network data stream for the IPv6 backhaul network and the WIA-PA network, but also enables the fine-grain recognition specific to the WIA-PA network data stream to implement the bandwidth guarantee for the end-to-end cross-network data stream.

SDN-based WIA-PA field network/IPV6 backhaul network joint scheduling method

The present invention claims a clock synchronization frequency offset estimation method adapted to a WIA-PA network, and belongs to the technical field of industrial wireless sensor networks. The method comprises the following steps: A. receiving a beacon frame, broadcast by a time source device, by a child node in the WIA-PA network in each time synchronization period to obtain a sending timestamp and a receiving timestamp, then adjusting a local time by taking a difference value between the two timestamps as a time adjustment quantity, repeating the process above, and after a plurality of synchronization periods, separately estimating a frequency offset with a statistical signal estimation method; and B. when anode is required to report its own time, compensating a node time with the estimated relative frequency offset. With the method, the time synchronization precision is effectively increased, a synchronization error is restrained from freely increasing in the time synchronization period, the synchronization period is prolonged, and both the communication overhead of the network and the energy consumption of the node are reduced.

Growing community of inventors

Chongqing, China

Ping Wang