Abstract: A method and a device for processing a speech instruction are provided. With the method, a speech instruction is recognized so as to generate text information corresponding to the speech instruction. Semantic analysis is performed on the text information so as to obtain a semantic analysis result of the text information. Whether a corresponding operation is executable based on the semantic analysis result of the text information is determined. If it is determined that the corresponding operation is not executable based on the semantic analysis result of the text information, whether the text information belongs to instruction text data is determined. If yes, the text information is corrected so as to obtain corrected text information. Semantic analysis is performed on the corrected text information, and the corresponding operation is executed according to a semantic analysis result of the corrected text information.

Abstract: 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.

Abstract: The present application discloses a method for automatically establishing an intrusion detection model based on an industrial control network, including: judging whether a first intrusion detection model meets preset detection requirements, and extracting communication behavior traffic data in real time if not; setting a training data set and a test date set according to the communication behavior traffic data; establishing an initial intrusion detection model according to the training data set; and testing the initial intrusion detection model using the test date set, and establishing a second intrusion detection model meeting the preset detection requirements according to the test result. The second intrusion detection model has high detection accuracy, thereby increasing intrusion detection rate of abnormal behavior and reducing false positive rate and false negative rate.

Abstract: The present invention discloses a method for controlling transmission security of an industrial communication flow based on an SDN architecture. The method comprises: designing a flow security control module in a management controller, performing in-depth parsing on industrial communication flow data, matching the parsing result with each preset industrial rule policy, and executing a control processing operation of the industrial rule policy, to implement transmission control of an industrial communication flow. The management controller comprises an industrial rule policy database used for storing all industrial rule policies set by a user. An SDN switch maintains a structure of a flow table, and an industrial communication flow is forwarded according to the flow table. The flow table comprises a security control identifier used for indicating whether security transmission of this communication flow needs to be controlled.

Abstract: Proposed is an anomaly detection method for communication behaviours in an industrial control system based on an OCSVM algorithm. According to the present invention, a normal behaviour profile model and an abnormal behaviour profile model, i.e. a dual-outline model, of communication behaviours 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.

Abstract: The present invention discloses an environmental-friendly vehicle light hydrocarbon fuel, with contents of its components as below according to part by weight: (1) light hydrocarbon: 100 parts by weight; (2) aromatic hydrocarbon: 4˜60 parts by weight; (3) lead free antiknock: 0˜20 parts by weight; (4) cation fluorocarbon surfactant: 0˜0.2 parts by weight; and (5) surface active increased superscript agent: 0.001˜2 parts by weight. The product of the present invention can increase auto-ignition temperature of the fuel, improve distillation range distribution of the fuel, increase burning velocity of the fuel, enhance power and reduce abrasion of an engine, avoid the formation of piston carbon, and lower consumption of the fuel. With a calorific value?42000 KJ/kg, the environmental-friendly vehicle light hydrocarbon fuel is an energy saving, environmental-friendly, and cost effective substitute for gasoline vehicle fuel.