47results about How to "Discover security risks" patented technology

The invention provides a method for mining potential adverse drug reaction data from big data. The method comprises the steps of A, collecting adverse drug reaction reports; B, preprocessing data in the adverse drug reaction reports of the adverse drug reaction event data set; C, standardizing the drug name; D, filtering known adverse reaction; E, calculating degrees of association; F, sequencing the degrees of association. The method is applied to the work of mining potential adverse drug reaction and the work is not limited to the category of drugs; the potential risk of marked drugs can be effectively found out, and the method is of important significance on increasing the health level of a user.

The invention discloses a prediction method for the corrosion rate of a Q235 galvanized steel grounding net of a transformer station. The method comprises the following steps that A) an influential factor of soil corrosivity is determined, and a data sample is obtained; B) data is normalized; C) a neural network is used for training and learning to obtain a corrosivity test evaluation network model; D) whether an error of the corrosivity test evaluation network model satisfies requirement is verified and checked; E) the corrosivity test evaluation network model that satisfies the error requirement is used to predict the corrosion rate of the Q235 galvanized steel grounding net of the transformer station; and F) a denormalization method is used to obtain the practical corrosion rate of the Q235 galvanized steel grounding net of the transformer station. According to the invention, the artificial neural network is used for data mining, the practical corrosion state of the Q235 galvanized steel grounding net is predicted on the basis of existing data, hidden safety troubles are discovered, measures are taken, and new reference is provided for protection work of the grounding net of the transformer station.

The invention relates to a nondestructive detection device for a light path of a fiber-optic gyroscope, and belongs to the technical field of fiber-optic gyroscope detection. The device comprises an infrared imaging system, a lens bracket, an illumination system, a fiber-optic gyroscope fixing component, a five-degree-of-freedom displacement device and an optical flat plate, wherein the infrared imaging system is fixedly connected with the lens bracket; the lens bracket is arranged on the optical flat plate; the infrared imaging system is perpendicular to the optical flat plate; the illumination system is arranged on the optical flat plate, and is just opposite to a fiber-optic gyroscope to be detected, which is fixed on the fiber-optic gyroscope fixing component; the fiber-optic gyroscope fixing component is arranged on the five-degree-of-freedom displacement device which is arranged on the optical flat plate.

The invention discloses a detection method for network security in a cloud computing network. The detection method includes: detecting whether current security information of a virtual machine is rectified or not after recognizing the virtual machine is started; if rectification is determined, performing corresponding restoring operations according to rectified results. The invention further discloses a detection device for the network security in the cloud computing network. By the detecting method and the detection device, the virtual machine with potential security hazards can be effectively prevented from attaching a virtual machine monitor (VMM) and other virtual machines subordinating to the same physical host as well as the entire cloud computing network.

The invention discloses a power transmission line inspection system and an implementation method thereof. The system comprises a personal digital assistant (PDA) terminal, a state monitoring agent system and a power transmission line state monitoring master station, wherein the PDA terminal is used for searching for the state monitoring agent system in a preset range, establishing communication connection with the state monitoring agent system, and displaying inspection information requested by a user; the state monitoring agent system is used for performing data communication with the PDA terminal and recording the inspection information uploaded by the PDA terminal; and the power transmission line state monitoring master station is used for querying the inspection information and outputting the query statement and / or statistical statement of history inspection information. The PDA terminal is connected with the state monitoring agent system by short distance wireless communication, and the state monitoring agent system is connected with the power transmission line state monitoring master station by wireless communication or wired communication. By the system and the method, the integration of state monitoring and intelligent inspection is realized, maintenance workload of one set of system and the operation and maintenance cost are reduced, and potential safety risk can be effectively and timely found.

The invention provides a conflict detection method and device, node equipment and a storage medium, and belongs to the technical field of block chains. The method comprises the steps: in response to an execution waiting instruction, creating at least two tasks for a block of a target batch indicated by the execution waiting instruction, wherein one task is used for indicating multiple processing logics of one block in the target batch to be chained in a block chain system; in response to an execution instruction for the target batch, executing the at least two tasks, and in the execution process, controlling the same processing logic included in the at least two tasks to be synchronously executed; and determining the conflict state of the target batch according to the execution results ofthe at least two tasks. According to the invention, the corresponding task is set for one block in the to-be-linked target batch in the block chain system, and the same processing logic included in each task is executed at the same time, so that whether conflicts exist among the execution logics or not can be determined according to the execution result, and the security risk existing in the blockchain system is discovered.

The invention relates to a method for detecting thickness and surface topography of respective layer inside a lithium ion battery. The method includes the following steps: 1. selecting a to-be-tested sample; 2. acquiring a waveform signal prior to the test of the to-be-tested sample; 3. assembling the tested sample in battery test; 4. collecting the assembled sample and acquiring the waveform signal of the assembled sample after the test; 5. comparing the waveform signal after the test with an initial waveform signal of the tested sample, and analyzing the difference of the two in terms of thickness and topography; and 6. determining changes of the sample in terms of thickness and surface topography. According to the invention, the technical solution, by measuring the thickness and surface topography of each layer inside the lithium ion battery, obtains the changes of the lithium ion battery during usage in terms of thickness and surface topography, locates safety hazards inside the lithium ion battery, and increases the safety of the lithium ion battery during usage.

The invention relates to the technical field of smart homes, in particular to an operation method for a refrigerator display screen. The display screen is at least provided with one message reminding interface. When a refrigerator breaks down, a user obtains fault information by clicking the message reminding interface, and the refrigerator is connected with a water purifier 3 or an air purifier or a gas stove in the same account through a cloud server. When any above electric appliance breaks down, displaying can be achieved on the message reminding interface, and the user can know the fault information of the domestic electric appliances installed at other positions in a home; and operation and usage are convenient for customers, repairing is conducted in time, potential safety hazards are found, using is convenient, and time and labor are saved.

The invention belongs to the mechanical field and relates to a passenger ropeway equipment condition monitoring and early warning system. The system includes a sensor part, a data acquisition module, a transmission bus and a PC, wherein the sensor part is in communication connection with the data acquisition module, and the data acquisition module is in communication connection with the PC through the transmission bus. According to the equipment condition monitoring and early warning system, different equipment can be monitored through the sensor part; acquired signals are transmitted to the data acquisition module through a network cable or a shielding signal line so as to encoded and outputted; all signals of the data acquisition module are connected with an RS232 interface of the computer through a signal line; the computer reads the signals which are acquired by various kinds of sensors through the RS232 interface, wherein the sensors are connected with the data acquisition module; and the computer displays and stores read signals. With the system adopted, the efficiency of inspection and detection of the equipment can be improved, and security risks of the equipment in an operating process can be found timely, and automatic data acquisition and real-time monitoring can be realized through utilizing different types of sensors.

The invention relates to a sodium hypochlorite preparation system capable of being controlled and debugged remotely based on an ARM single chip microcomputer and a working method thereof. The sodium hypochlorite preparation system comprises an ARM single chip microcomputer, a first drive circuit, a second drive circuit, an analog signal processing circuit, an electrolysis power supply, a concentrated salt pump, a softened water regulating valve, a softened water flow module, an operation indication module, an electrical conductivity meter, an alarm indication module, a 4G module, an HMI moduleand a wireless data transmission module. The sodium hypochlorite preparation system has a remote diagnosing and debugging function. Warning and alarm can be issued for the key parameters of system operation, so that users can find safety risks early to avoid loss caused by system device aging. Users can be remotely notified of corresponding alarm and handle the alarm, and the parameters of fieldoperation can also be modified and optimized remotely. By using the Internet-of-things technology, manufacturers and users can have a real-time understanding of the field operation situation and dealwith an abnormal situation in time.

The invention discloses an electricity utilization safety sensing method and device based on a random forest algorithm, and a medium, and the method comprises the steps: collecting electricity utilization data, extracting a plurality of indexes, taking the indexes as feature indexes, and inputting the feature indexes into a trained random forest algorithm model; all decision trees in the random forest algorithm model respectively output probability values of different power consumption conditions represented by the power consumption data, then the average number of all the probability values is taken, and the power consumption condition with the maximum probability value in the average number is used as a current power consumption condition result. The invention provides a comprehensive model which does not need feature screening and integrates fault arc, electric leakage and short circuit judgment. The model aims at quickly sensing and judging the occurrence of fault arc, electric leakage and short circuit phenomena, improving the fault sensing precision of low-voltage users and ensuring the life and property safety of the low-voltage users.

The invention discloses a webpage hidden link detection method and device, equipment and a medium. The webpage hidden link detection method comprises the steps of: sending an HTTP request for a targetURL to a to-be-detected website; acquiring response information corresponding to the HTTP request, wherein the response information comprises title information of a response page, a URL associated label and attribute content corresponding to the URL associated label; matching a preset keyword with the response information; and if the preset keyword is successfully matched with the response information, determining that a dark link exists in the to-be-detected website. Thus, the preset keyword is matched with the response content of the to-be-detected website, and then whether the to-be-detected website has the dark link or not is determined according to the matching result, so that the convenience and flexibility of webpage dark link detection can be improved, and the potential safety hazard of the to-be-detected website can be effectively found in time.

The invention discloses a static code analyzing system and method capable of being debugged online. The method comprises four main parts of an online code managing module, a static code auditing module, an online code interpreter and a user operating interface. According to the method, a user is allowed to conduct version control on project codes through the online code managing module, the staticcode auditing module can automatically conduct safety analysis on the project codes, and possible defect codes and defects types are listed. The user can browse and edit codes on the user operating interface, and method tracing and breakpoint setting operations can be conducted on the codes on the user operating interface, so that the project defect and the repairing method can be quickly determined.

The invention discloses an uploaded file threat detection method and device, and a computer readable storage medium, wherein the scheme provided by the invention comprises the steps of obtaining uploading log data corresponding to an uploaded file, wherein the uploading log data comprises a multi-purpose Internet mail extension MINE type and a file extension name of the uploaded file; performing consistency detection on the MINE type and the file extension name of the uploaded file according to the uploaded log data; performing anomaly detection on the content of a suspicious uploading file of which the MINE type is inconsistent with the file extension detection in the uploading file; detecting whether a target upload file with abnormal content detection in the suspicious upload file is an executable program or not; and determining the target uploaded file which is detected as the executable program as a threat file. According to the method and the device, malicious files in the uploaded files can be effectively detected, and the risk that a Web website is threatened and attacked is reduced.

The invention provides a safe and convenient intelligent gas meter. Fixed connectors are arranged in the middles of the two ends of the top face of an intelligent gas meter body, a mechanical dial plate is arranged at the top of the front face of the intelligent gas meter body, an installation narrow box is fixedly connected with the position, corresponding to the bottom of the mechanical dial plate, of the front face of the intelligent gas meter body, and the inner side of the installation narrow box is movably connected with a data connector. According to the intelligent gas meter, through cooperation of all components in a convenient and detachable control mechanism, the disassembly and replacement processes of electrical components in the intelligent gas meter body are more convenientand faster, and therefore the electrical components with complete functions in a recycled intelligent gas meter can be rapidly taken down, and are used for maintaining of other intelligent gas metersof the same model; the use and maintenance cost of the intelligent gas meter is effectively reduced, the operation cost of a gas company is directly reduced, the economic benefit of the gas company isimproved, and the popularization and application of the intelligent gas meter are facilitated.

The invention provides an intelligent building security system. The intelligent building security system comprises a monitoring module, a data processing platform and terminal equipment. The monitoring module is used for acquiring monitoring data of a building and transmitting the monitoring data to the data processing platform; the data processing platform is used for judging whether the monitoring data is abnormal or not, and sending the abnormal monitoring data to the terminal equipment if the monitoring data is abnormal; and the terminal equipment is used for receiving and displaying the abnormal monitoring data and sending an alarm prompt to a user of the terminal equipment. Monitoring data in different protection directions of a building are transmitted to the data processing platform in a unified mode to be processed, abnormal data in the monitoring data are recognized and automatically sent to the user terminal, then alarm reminding is conducted on personnel using the user terminal through the user terminal, and potential safety hazards existing in the building can be effectively found in time.

The invention relates to a nondestructive detection device for a light path of a fiber-optic gyroscope, and belongs to the technical field of fiber-optic gyroscope detection. The device comprises an infrared imaging system, a lens bracket, an illumination system, a fiber-optic gyroscope fixing component, a five-degree-of-freedom displacement device and an optical flat plate, wherein the infrared imaging system is fixedly connected with the lens bracket; the lens bracket is arranged on the optical flat plate; the infrared imaging system is perpendicular to the optical flat plate; the illumination system is arranged on the optical flat plate, and is just opposite to a fiber-optic gyroscope to be detected, which is fixed on the fiber-optic gyroscope fixing component; the fiber-optic gyroscope fixing component is arranged on the five-degree-of-freedom displacement device which is arranged on the optical flat plate.

The invention discloses a cigarette manufacturing equipment spot inspection analysis method and system. The method comprises the following steps of: recording a spot inspection process of to-be-testedcigarette manufacturing equipment according to a preset manner through a handheld terminal, and uploading recorded content to a background server; carrying out big data analysis on the received recorded content so as to obtain a state change trend of the to-be-tested cigarette manufacturing equipment; and when the state change trend of the to-be-tested cigarette manufacturing equipment goes beyond a preset control range or does not accord with a preset control state, giving corresponding preventive maintenance pre-warning. According to the method, the spot inspection process is sufficiently recorded by utilizing the handheld terminal so that the spot inspection information acquisition is perfect and sufficient; and the recorded content is processed by utilizing big data advantage, and a scientific statistical method is in cooperation to judge abnormal states, so that various potential safety hazards in equipment operation can be efficiently and correctly discovered, the normal operation of equipment is powerfully ensured and the economic benefit is enhanced.

The invention relates to a safety detecting system for the vehicle condition in the operation state. The safety detecting system comprises a temperature sensor, a pressure sensor, a swing sensor, a torque sensor, an air pressure sensor and a control circuit. The control circuit is in electrical connection with the temperature sensor, the pressure sensor, the swing sensor, the torque sensor and the air pressure sensor. The control circuit is embedded in a console of a vehicle and is in electrical connection with a trip computer of the vehicle. A using method of the safety detecting system comprises three steps of equipment mounting, parameter setting and safety protecting and other steps. The safety detecting system is simple in structure, flexible and convenient to use and high in operation automation degree; the vehicle condition in the operation state of the vehicle can be effectively and continuously detected under the situation that the vehicle structure is not changed, accordingly potential safety hazards in vehicle operation are convenient to find timely and effectively, and the safety and reliability of vehicle operation are improved.

The invention discloses a metro vehicle door system V-shaped angle measuring method based on monocular vision. The metro vehicle door system V-shaped angle measuring method comprises: obtaining an initial image, extracting an image datum point, solving a monocular vision camera parameter structure, and calculating the metro vehicle door system V-shaped angle. According to the invention, a monocular vision measurement technology is combined, remote real-time monitoring is carried out on V-shaped angle parameters of the metro vehicle passenger room door system, and monitoring and early warning are carried out on abnormal conditions of the door system, so that potential safety hazards existing in frequent opening and closing processes of the metro vehicle passenger room door system can be found timely and efficiently.

The invention provides an on-load tap-changer (OLTC) controller with an on-line detection function. The controller comprises an OLTC controller unit, an OLTC external signal acquisition unit, an OLTCinternal signal acquisition unit and a communication switching unit. The OLTC controller unit comprises functions of an existing OLTC controller, and can form a manual, automatic and remote control voltage regulating system with an on-load voltage regulating transformer. The OLTC controller unit further has an on-line detection function, and the detection function of key parameters such as transition resistance values and OLTC switching process time during OLTC on-line operation can be achieved. The OLTC external signal acquisition unit acquires external voltage and current signals of the OLTC-transformer bank; the OLTC internal signal acquisition unit acquires OLTC internal voltage and current signals; and the communication switching unit forwards the data acquired by the OLTC internal signal acquisition unit to the OLTC controller. According to the invention, online detection of the OLTC can be achieved, safe operation of the OLTC is guaranteed, and convenience is provided for equipment manufacturers, operators and operation and use personnel.

The present invention discloses an underground electric power circuit hidden danger warning system. The system comprises servers, a router, view workstations and a monitoring system, and is characterized in that the servers and the router are connected through an Ethernet, the router and the view workstations are also connected with an Ethernet, and the router and the monitoring system are connected through a wireless transmission system. With adoption of the technical scheme, the system has the beneficial effects that the wireless transmission system is adopted, and situations of the monitoring system can be accurately, rapidly and efficiently transmitted to the servers. The underground electric power circuit hidden danger warning system is fast in response, wide in monitoring range, and capable of effectively finding underground electric power circuit hidden dangers, thereby avoiding unnecessary losses.

The invention relates to the technical field of alarm systems, in particular to a new energy automobile chassis load warning system. The system comprises a microprocessor. The microprocessor is connected with an automobile-mounted storage battery through a lead and is in signal connection with a deformation detection module, a pressure detection module and a torque detection module. The deformation detection module comprises a deformation warning module connected with the microprocessor and multiple distance measurement sensors through leads. The distance measurement sensors are installed on installation holes of first installation boards. Each first installation board is in an L shape, and one side of each first installation board is fixed to a chassis through a first connecting bolt. Thedistance measurement sensors are horizontally arranged and directly face the surfaces of light reflective boards. The light reflective boards are fixed to second installation boards. Each second installation board is in an L shape, and one side of each second installation board is fixed to the chassis through a second connecting bolt. The light reflective boards are kept vertical. Potential safety hazards can be found with the assistance of the system.

A detector for measuring petroleum pipeline base metal defects comprises three groups of probes, each group of probes comprises six arrays, each array comprises a transmitting coil T, a shielding coilB and a main receiving coil R, the six arrays share one transmitting coil, and six shielding coils with opposite winding directions are arranged at a certain distance from the transmitting coil, so that direct coupling signals can be effectively counteracted, and signals from the base metal are enhanced. the positions and the number of turns of the transmitting coil, the shielding coil and the main receiving coil are obtained according to the principle of a three-coil system of an induction logging instrument in the petroleum logging theory, an eddy current field can be directly excited in base metal by penetrating through a coating, and changes of measurement signals received by the receiving coil are analyzed, so that the number, positions and sizes of defects can be judged. The detection process is free of contact and damage, potential safety hazards in the pipeline can be found to the maximum extent, pipeline safety accidents are effectively restrained, and the detector is more suitable for measuring petroleum pipeline base metal defects.

The invention discloses a method for evaluating a running state of a thyristor converter valve with interpretability, which comprises the following steps of: determining a state quantity and a state grade, and inputting a converter valve operation state data set; training a CatBoost classifier, and evaluating a result according to the global accuracy rate and the recall rate; and evaluating the operation state of the converter valve in real time, and explaining the result of the evaluation model based on an SHAP attribution analysis method. The method has high accuracy in the aspect of state evaluation of the extra-high-voltage direct-current transmission thyristor converter valve, the algorithm is simple and easy to implement, the operation logic and the real reasoning process of the evaluation model can be explained, key factors influencing the evaluation result can be found out, engineers can be helped to correctly judge the operation state of the converter valve to a certain extent, targeted theoretical guidance is provided for making a maintenance decision, and the method has great application value and prospect.

The invention relates to the technical field of alarm systems, in particular to a chassis load alarm system for new energy vehicles, which includes a microprocessor, the microprocessor is connected to a vehicle battery through a wire, and the signal of the microprocessor is connected to a deformation detection module, a pressure Detection module, torque detection module, the deformation detection module includes a deformation alarm module, the deformation alarm module is connected to the microprocessor and a plurality of distance measuring sensors through wires, and the distance measuring sensors are installed in the mounting holes of the first mounting plate Above, the first mounting plate is L-shaped and one side is fixed on the chassis by first connecting bolts, the distance measuring sensor is arranged horizontally, the distance measuring sensor is facing the surface of the reflector, and the reflector is fixed on the second On the second mounting plate, the second mounting plate is L-shaped and one side is fixed on the chassis through a second connecting bolt, and the reflector is kept vertical. The invention helps to find potential safety hazards.