85results about How to "Implement security detection" patented technology

The invention provides a mixed indicator. The indicator component of the mixed indicator provided by the invention is basically composed of bromothymol blue, methyl red and phenolphthalein. Detection of grease acid value with the mixed indicator provided by the invention has the characteristics of: convenience and speediness, and high stability detection result. Distinguishing can be realized easily only by visual inspection; operation can be carried out of a laboratory, and the detection process requires only a small amount of organic solvents, thus facilitating detection of a large number of samples. The mixed indicator can be used for dark color grease detection.

The embodiment of the invention provides a content delivery network security detection method and system. A content delivery network node replicates all the traffic, the network traffic data replicated by the content delivery network node can further be acquired, and full content network traffic data are obtained; then, the acquired network traffic data are subjected to security analysis accordingto a preset intrusion detection rule; and according to an analysis result, whether security warning exists is determined, and security detection on the content delivery network is realized. The traffic forwarded by the content delivery network node is analyzed, the analysis result is accurate and reliable, potential security threats can be timely and effectively detected, the legitimate interestsof a user and a service provider are protected, the security is enhanced, and the security risks are reduced.

A safety detection method, an apparatus and a device are provided. The safety detection apparatus can be placed in the IOT network. The IoT terminal in the IoT network transmits data through wirelesstechnology, and the security detection device includes a software radio unit, so that all wireless signals in the wireless coverage range can be monitored, thereby obtaining a communication message ofthe IoT terminal. The embodiment utilizes the security detection device to perform security detection on an IoT terminal in an IoT network, and has no contact and no invasion to the IoT terminal, anddoes not depend on the detection capability of the IoT terminal itself. Moreover, by acquiring the target operation characteristics of IoT terminal and combining with the normal operation characteristics of history, we can find out whether the IoT terminal is operating abnormally or not, and realize the security detection of IoT terminal.

Disclosed in the invention is an intrinsic safety type stress and retained austenite content measuring system. With the measuring system, secure measurement for the stress and the retained austenite content is realized. The testing precision is high; the measurement difficulty is low; the detection period is short; the testing method is simple, convenient and flexible; and any part of the ferro magnetic material-based object can be measured on the spot in real time. And the technology employed by the measuring system is one of nondestructive measurement for the material.

The invention discloses a network behavior safety detection method and device. The method comprises the steps that behavior data which is sent by a network node and collected by monitoring network behavior is received; whether the behavior data conforms to a preset behavior rule or not is judged; if yes, it is determined that the network behavior is normal; if not, it is determined that the network behavior is abnormal. According to the network behavior safety detection method and device, detection on the safety of an internal network of an information service network is achieved.

The invention relates to a page safety detection method and device and equipment. The method comprises the following steps of: before page loading, injecting a preset Hook-based safety detection framework into a to-be-loaded page, wherein the safety detection framework comprises a script for rewriting and detecting a to-be-detected body; rewriting the to-be-detected body in the to-be-loaded page through the safety detection framework; monitoring call information of the to-be-detected during the operation through the rewritten to-be-detected body; and judging whether the to-be-detected body is safe or not on the basis of the call information by utilizing the safety detection framework. According to the method, safety detection during code operation is realized through Hook, so that the ability of mining loopholes and sensitive information at the front ends of webs is improved.

The invention discloses an air-based rail detection method based on an attention enhancement mechanism, belonging to the field of aviation surveillance. The method comprises the steps that firstly, the high-definition array camera is mounted on the aerial vehicle, and the original image of the railway track is acquired and pre-processed to obtain training samples; the images of the training samples are inputted into the convolutional neural network for feature extraction, and the 16*16 encoded images are obtained, and the attention enhancement is carried out to increase the ability of featureexpression; then the up sampling is carried out on the image after the attention enhancement by convolution neural network to get the same size decision map as the original image, and the decision mapis classified and judged, and a point in the decision map is a point on the rail; and finally, according to the decision result, the network parameters are updated by back propagation using gradientdescent algorithm. On the basis of precise detection, the method of the invention can monitor the surrounding environment of the rail and the safety condition of the rail, has accurate positioning andremarkable effect, and has strong engineering value and practical significance.

The invention relates to an anti-explosion patrolling task control method, a storage medium and a robot. The control method comprises the following steps of navigating to a preset corresponding task point through a cruising unit to execute an anti-explosion patrolling task; acquiring corresponding task data in a process of executing the anti-explosion patrolling task; transmitting the acquired task data to a processor for fusing data; and issuing a command of continually executing the anti-explosion patrolling task or reporting accident information according to a data fusion result by the processor. Through adoption of the anti-explosion patrolling task control method, regular patrolling tasks can be executed; field assistance and emergency handling in an emergency state can be implementedthrough images, sound and the like; and indetectable potential safety hazard can be checked by conventional means. The control method is high in automation degree, stable and accurate, and fire and explosion protection is achieved.

The invention discloses a control method of an unmanned automatic road sweeper and relates to the technical field of road sweepers. According to the control method of the unmanned automatic road sweeper, two cameras are installed at the front end of the road sweeper and connected with a gray level comparator, the gray level comparator is connected with a central processing unit, a stop frame is installed on the front portion of the road sweeper, six radar sensors are evenly distributed at the front end of the stop frame, and two distance sensors are installed at the bottom of the stop frame and correspond to walking wheels of the road sweeper; and in the walking process, the cameras shoot pictures in real time, figure gray level comparison is achieved, compared figure information is fed back to the central processing unit, the central processing unit controls the road sweeper to walk, the walking speed is high when the feedback information indicates that dust is little, and the walkingspeed is slow when the feedback information indicates that dust is plenty. Unmanned operation control and safety detection can be achieved; and manpower and management time can be saved, meanwhile, the road sweeper can be effectively protected, and the service life is prolonged.

The invention discloses a test device and a test method for a cooker ignition control board. The control module outputs a simulated flame combustion feedback signal to the flame detection feedback connection end of the tested cooker ignition control board by controlling a controlled simulated flame combustion feedback signal generation module, and then Use the ignition pin state detection module to detect whether the ignition control board of the cooking range under test can control the ignition pin to stop ignition after the gas is ignited successfully, and when the controlled simulated flame combustion feedback signal generation module stops the flame detection feedback to the ignition control board of the cooking range under test After the connection terminal outputs the simulated flame combustion feedback signal, the gas solenoid valve state detection module detects whether the ignition control board of the tested cooker can control the gas solenoid valve to close the valve and disconnect the connection after the gas flame is extinguished, which realizes the ignition of the tested cooker The safety inspection of the control panel eliminates the need to connect the gas solenoid valve to the gas pipeline during the test to achieve flame combustion and flame extinguishment, and the test is more convenient and quick.

The invention provides an infrared identification-based vehicle state monitoring method. The method comprises the steps of performing tailoring on a vehicle-mounted embedded operation system; loading a driver and a third-party image software processing library based on the operation system; then transplanting a compiled auxiliary driving pre-warning system into an embedded chip; and monitoring a vehicle distance of a preceding vehicle based on a night infrared image by the auxiliary driving pre-warning system. According to the infrared identification-based vehicle state monitoring method proposed by the invention, the motor vehicle safety detection is realized in the embedded chip, the driving safety pre-warning performance is improved, and the real-time calculation and pre-warning of a to-be-calculated task processing amount can be realized.

The invention provides a data detection method and device. The method comprises the following steps: reading data corresponding to a target address in a storage area, and obtaining the verification value of the data by adopting a preset verification method; according to the verification value of all the data in the storage area, and a standard verification value pre-stored in a preset address in the storage area, determining whether the data stored in the storage area has a fault or not. The data detection method and device realize the safety detection of the data in the memory in an automobile electronic control unit, and the failure of the data in the memory can be found in time.

The invention discloses a device for detecting defects of an insulating tool for hot-line work. The device comprises a sensor, a control module, a defect detection module for interlayer detection and detection along layers, and a stepping motor. An output end of the defect detection module is connected to an input end of the control module. An output end of the sensor is connected to an input end of the control module. The output end of the defect detection module is connected to the stepping motor. The device can realize high-efficiency insulating tool safety detection.

The invention provides an information security alarm method and device and electronic equipment. The method comprises the following steps: acquiring a pre-configured statistical index, wherein the statistical index is configured with one or more data sources; determining target data corresponding to the statistical index according to initial data corresponding to the data source; according to a pre-configured statistical mode, performing statistical processing on the target data to obtain a statistical result of the statistical index; and if the statistical result meets the preset alarm condition, carrying out alarm processing according to preset content. In the mode, by configuring the statistical indexes of one or more data sources, the data among the plurality of data sources can be compared and calculated, so that the security detection of complex alarm requirements is realized, and the accuracy of information security detection is improved.

The invention provides a pre-warning method for motor vehicle driving safety. The method comprises the following steps: in a vehicle running process, performing vehicle distance detection on an image captured by a vehicle-mounted camera; sending out an alarm when the distance between a vehicle and another vehicle in front of the vehicle is shorter than a safe distance. According to the pre-warning method for motor vehicle driving safety, safety detection for a motor vehicle is realized in an embedded chip, so that the driving safety pre-warning performance is improved, and a task processing quantity can be calculated to realize real-time calculation and pre-warning.

The invention provides a self-regulation filtering method and device, and a network security system, and relates to the technical field of network security. The self-regulation filtering method comprises the following steps: detecting input data packets according to a preset security strategy, and intercepting the data packets with potential security risks to obtain secure data packets; performing parameter measurement on the secure data packets and the input data packets to obtain a parameter measurement result; obtaining a new security strategy according to a preset security algorithm and the parameter measurement result; and configuring the pre-stored security strategy according to the new security strategy. By adoption of the self-regulation filtering method, in a security detection process of the input data packets, the input data packets can be better applicable to wireless networks, and the data packets with potential security risks can be automatically defended.

The invention discloses a nondestructive internal storage online testing method which includes the following steps: determining a time upper limit required for carrying out a complete test on an internal storage, enabling the internal storage test to be distributed to operational free time of a task main program in each period to be executed, enabling a part of the internal storage to be tested in each period, enabling the accumulated time for completing the internal storage test in the periods to be incapable of exceeding the set time, thinning the granularity of the tested part of the internal storage in each period, dividing each tested part into a plurality of time slices to be executed, guaranteeing responding time of interrupt signals or life signals, backuping a tested internal storage sheet, then adopting a destructive testing method to the internal storage sheet, and then recovering the tested internal storage sheet. The nondestructive internal storage online testing method has the advantages that the aim of safety testing of a high-capacity internal storage is achieved, the problem of delaying of interrupt responses in a high-real-time-performance safety system under the internal storage testing condition is solved, the destructive method is applied to nondestructive internal storage online testing, the internal storage fault testing coverage rate is improved, and key static data of the internal storage are not damaged.