77results about How to "Solve the problem of false positives" patented technology

The invention discloses an automatic intelligent contract code defect detection system and method. Combining static code analysis with dynamic path traversal, together with independently extensible security model library and rule matching library, the defect code inspection is more complete, accurate and reliable, and the problem of missing report in defect code is solved. At that same time, the interface call of the bottom platform of the block chain is load in real time, and the generated t cases and counterexamples are used on the block chain platform to verify whet the defect code is a pseudo error or not, so that the defect code of the intelligent contract can be effectively and accurately found out, and the defect error code can be located to the specific position of the intelligentcontract source code through the source code mapping engine.

The invention discloses a method of fully detecting null pointer reference defects. The method comprises recognizing all addressable expressions of an application to be detected based on an abstract syntax tree; carrying out conservative interval arithmetic and pointer analysis on the application to be detected according to a control flow diagram, and generating a procedural summary according to results of the interval arithmetic and the pointer analysis; recognizing all pointer reference and referred pointers according to the procedural summary and the abstract syntax tree, and creating a null pointer reference defect state machine example on each referred pointer; and running the null pointer reference defect state machine examples based on the control flow diagram, carrying out state transition on each defect state machine example on each node of the control flow diagram according to the results of the interval arithmetic and the pointer analysis, and carrying out null pointer reference detection. By adopting the method of fully detecting the null pointer reference defects, the problem of failing to report the null pointer reference defects can be effectively solved, and zero omission and low misinformation of the null pointer reference defect detection are achieved.

The invention discloses a cabinet door control alarm, which comprises a main control circuit, a power source and cabinet door state detection circuit, a motor lock motor driving circuit, an alarm input-output circuit, an alarm circuit and a multimedia message module integrated circuit (IC7), wherein the main control circuit is used for controlling each circuit; the power source and cabinet door state detection circuit is used for supplying a power source to the circuits and detecting an opening and closing state of a cabinet door; the motor lock motor driving circuit for supplying a power source started or shut down to a motor lock motor and enabling a motor lock to move towards the opening or closing direction; the alarm input-output circuit is used for collecting each alarm signal and giving out alarm command; and the alarm circuit is used for sending out sound and light to give an alarm and sending out the alarm signal to users near the cabinet door. The multimedia message module IC7 is used for achieving remote connection between the cabinet door control alarm and a cabinet door controller and enabling the cabinet door controller to know about the state of the cabinet door control alarm and achieve remote control of the cabinet door control alarm. The cabinet door control alarm can carry out remote control and remote alarm to the cabinet door, multiple unlocking secret-key control is adopted, and the safety performance of a cabinet door control system is greatly improved.

The invention relates to an online service abnormity monitoring method. The method comprises the following steps that a service reliability experience module, a simulation terminal user access monitoring module and a local service end security agent assistive monitoring and reporting module, respectively intensively and widely sample needed all-level information and relative history online service information of a network layer, an operating system layer, an online Web system and application layer, a database layer and a file system layer which are related to online services, and then, according to sampling results, expert knowledge base information and user feedback base information, determines whether an abnormal event is generated, transmits a determination result to an event management server, an expert feedback module and a user feedback module; and if an abnormal event is generated, a post hoc log analysis and remote local end linked module automatically analyzes every system log, and the event management server gives alarms or displays monitoring results according to analysis results. Compared with the prior art, the method and the system are comprehensive, and have the advantages of high accuracy, high adaptability and the like.

A bidirectional scattering type vertical photoelectric smoke detector for the fire accident alarm is composed of the detecting chamber consisting of light shielding window and base, light emitter, lens, the backward light receiving channel consisting of backward receiving lens and receiver, and the forward light receiving channel consisting of forward receiving lens and receiver. Its bidirectional scattering light path and two scattering angles are used to discriminate black smoke, white smoke, water vapour and others, resulting in less error.

The invention discloses a security test method, device and system, equipment and a storage medium. The security testing method comprises the following steps: a test end sends a test request, the testrequest is used for requesting a tested application to execute a vulnerability test command and sending a communication message to an appointed server through a first channel, the first channel is located between the tested application and the appointed server, and the first channel is a data transmission channel outside a test request response channel of the tested application; and in response toreceiving processing information for the communication message from the specified server, a judgment is made that the tested application has a security vulnerability. According to the security test method provided by the embodiment of the invention, whether the tested application has security holes or not is judged, and the problem of report omission in the application security test is solved.

The invention discloses a smart wallet based anti-lost prewarning method and system as well as a smart wallet. The method comprises steps as follows: the wallet is connected with a mobile phone through a WIFI (wireless fidelity) module or a Bluetooth module, and remind-avoiding safe WIFI is preset for the wallet; the mobile phone detects a linear distance between the wallet and the mobile phone in real time; when the linear distance between the wallet and the mobile phone exceeds a preset distance, whether the currently accessed WIFI of the wallet is the preset remind-avoiding safe WIFI is detected again; when the linear distance between the wallet and the mobile phone exceeds the preset distance and the currently accessed WIFI of the wallet is not the preset remind-avoiding safe WIFI, corresponding alarm reminding is performed through controlling. The smart phone has functions of bringing-forgetting reminding, anti-lost alarm and positioning find and is convenient for a user to search and position, further, the wallet has the function of preventing mistaken reminding, and the problem of existing false report is solved.

The invention discloses a camera motion detecting method based on video monitoring. The method comprises the steps of collecting video frames, conducting background building through the Gaussian mixture model, sampling random points around every pixel point through a random sampling method, initializing the background, differentiating the obtained present frame with a background frame, conducting statistics of the number of the pixel points smaller than 20, regarding the point as a background point when the number of the pixel points is bigger than 2, regarding the point as a foreground point when the number of the pixel points is not bigger than 2, and judging whether the camera is moved through a comparison with a certain fixed threshold value according to the number of the pixel points of a foreground frame. Camera motion detecting is achieved.

The invention discloses a fire alarm method, device and system and a household fan device, and belongs to the field of smart home. The method comprises the following steps: determining second temperature/ humidity information of area identification according to first temperature/ humidity information of device identification corresponding to the area identification of an area, wherein the device identification is identification of household fans in the area, and the area comprises at least two household fans; detecting whether the second temperature/ humidity information is abnormal; and when detecting that the second temperature/ humidity information is abnormal, sending an alarm signal to a preset terminal. The problem that in the prior art, fire alarm is given according to environment temperature information collected by only one temperature sensor, so that fault alarm is caused easily is solved, and thus the effects of improving judgment accuracy of abnormal situations of the second temperature/ humidity information of one area by carrying out aggregation on the first temperature/ humidity information collected by the plurality of household fans in the same area, and reducing false alarm are achieved.

The invention provides a control method for preventing misinformation of a Bluetooth losing preventer. The control method comprises the following steps: configuring at least two Bluetooth terminals capable of carrying out Bluetooth communication on an intelligent terminal to a monitored object; mapping the intelligent terminal to the at least two Bluetooth terminals corresponding to the monitored object into virtual equipment; acquiring a Bluetooth signals of all the Bluetooth terminals corresponding to the monitored object by the intelligent terminal, and obtaining a signal intensity value of the virtual equipment after comprehensive processing is carried out, wherein the signal intensity value of the virtual equipment is used for representing a distance between the monitored object and the intelligent terminal; when the intelligent terminal is disconnected from all the Bluetooth terminals corresponding to the monitored object or the signal intensity value of the virtual equipment is lower than a set intensity threshold value, judging that the monitored object is lost by the intelligent terminal, and sounding an alarm. According to the control method, the problem of misinformation of the Bluetooth losing preventer is solved.

The present invention belongs to the field of software fault diagnosis and provides an autonomously discovering method for a defect mode in a concurrent program, particularly a defect mode discovering method for mining system execution traces by using sequential patterns. According to the technical scheme provided by the invention, based on a plugged concurrent program, the execution of threads are dynamically scheduled during the operation of the plugged concurrent program; program execution information is collected in real time; a program trace sequence is stored as required; the execution sequence is mined; and the program defect pattern is autonomously discovered.

The invention relates to the technical field of intelligent glasses, and to multifunctional intelligent glasses based on the Internet of Things technology, comprising an eyeglasses frame and an intelligent module integrated in the legs of an eyeglasses. The intelligent module is composed of a sensor, a micro control unit, a data memory, a wireless communication module, and a power supply module, and an alarm module. The micro control unit is configured to receive the signal sent by the sensor, to output control signal to the alarm module after analyzing and processing, and to store the data inthe data memory. The multifunctional intelligent glasses of the invention can only issue an alarm after the head left or right or the pitch angle exceeds the set value, the distance of the head and the target is less than the set value, and the set time is continued, which fundamentally solves the problem of false alarm.

The invention discloses a smoke detector and a working method thereof. The smoke detector comprises a housing, a smoke sensor, an air sensor, a single chip microcomputer controller, a camera head, a locator, a display and an alarm system, wherein the smoke sensor, the air sensor, the camera head, the locator, the display and the alarm system are connected with the single chip microcomputer controller and are arranged inside the housing. According to the smoke detector and the working method disclosed by the invention, by sensing and analyzing components of the indoor smoke through the smoke sensor and the air sensor, the single chip microcomputer makes correct judgment to find pilot fire in advance, so that large fire can be effectively avoided, and a good prevention effect is achieved; meanwhile, a problem that an existing alarm gives false alarm can be effectively solved, so that demands of vast consumers can be met better.

The invention provides a multi-target tracking and behavior analysis detection method, which is applied to the technical field of automatic target tracking, and comprises the steps of decomposing based on a to-be-tracked figure image to obtain a plurality of target figure head portraits; inputting the head portrait of the target person and the to-be-analyzed image into a network tracking model toobtain a confidence coefficient value and a coordinate box, the network tracking model being a tracking model composed of a CNN and an RPN; selecting a first target number of coordinate boxes as firstcoordinate boxes according to the confidence coefficient value and the coordinate boxes; obtaining a tracking result according to the historical tracking value and the first coordinate box; and outputting detected candidate human head target information according to the tracking result, the human head target information comprising the scale of each target and the total number of candidate human head targets. By applying the embodiment of the invention, the problems of false alarm, missing alarm, difficulty in tracking and the like easily caused by the reasons that a person detection and tracking method based on face detection, head and shoulder detection or whole body detection is easily shielded, targets are difficult to classify and the like in the prior art are solved.

The invention is applicable to the technical field of video quality diagnosis, and provides a method and apparatus for video quality diagnosis based on scene classification. The method includes: obtaining real-time image data; classifying scenes of the real-time image data by employing a trained scene classifier to obtain the scene category and the category confidence degree corresponding to the real-time image data; obtaining a diagnosis item corresponding to the scene category and the diagnosis item sensitivity according to the corresponding relationships between the scene category, the diagnosis item and the diagnosis item sensitivity if the category confidence degree is greater than or equal to a preset threshold; and adjusting the diagnosis item of a video quality diagnosis system toreach the diagnosis item sensitivity in order to perform the video quality diagnosis of the real-time image data. According to the method and apparatus, the diagnosis item sensitivity of the video quality diagnosis system can perform automatic adjustment according to the scene category and the category confidence degree of the real-time image data, and the problems of false report and report failure of the video quality diagnosis can be solved.

The invention provides a device for detecting bottle labeling omission on a production line and belongs to the technical field of automatic equipment. By adopting the technical scheme, components suchas a sensor, industrial cameras, a plane mirror and a cylinder are arranged at a part of a conveyer belt in a conveying direction; the components are in communication connection with a computer as acontrol system; the sensor faces to bottles to be tested on the conveyer belt; when the sensor detects that the bottles to be tested are moved in place, two industrial cameras are triggered to take images; the two industrial cameras are positioned on two sides of the bottles with the bottles as a center; when images are taken, bottle images and bottle images reflected by the plane mirror can be acquired simultaneously because of the plane mirror; the taken images can be transmitted to the computer in a data mode; the images are analyzed through image recognition software in the computer, and whether phenomena such as wrong labeling and labeling omission are caused or not can be detected; if bottles with labeling omission are detected, alarm and ejection signals can be transmitted by the software, alarming can be made, and in addition, unqualified bottles can be ejected out of the production line.

The invention relates to the field of control circuits, and discloses a diagnosis system used for a load circuit, and an electric car. The diagnosis system comprises a collection channel switching device and a controller, wherein the collection channel switching device comprises a switching module and a reference place switching module; the switching module is used for conducting or disconnectinga passage between a pressure-division circuit and a circuit where a sampling resistor is positioned; and the reference place switching module is used for switching the conducted passage to different reference places to conduct different collection channels. The controller is used for executing the following operations that: controlling a collection channel switching module to execute a switching operation; according to the voltage of sampling resistors on different sampling channels, determining voltage between different collection points and the corresponding reference place; comparing the determined voltage with the voltage of a battery pack; and according to a comparison result, determining the state of a corresponding relay or fuse. Therefore, different reference places are switched tosolve the problem of misinformation since relays are adhered in a high-voltage collection and diagnosis process through the switching of different reference places, and meanwhile, the problem that acircuit board is burnt out since a relay closing sequence is changed can be solved.

The embodiment of the invention discloses a monitoring alarm method and apparatus, a server and a storage medium. The monitoring alarm method includes the steps: acquiring an image shot by a monitoring camera, and determining a feature region in the image; calculating the distance between the feature region and the monitoring camera and the contour of the feature region; and determining whether the image is an abnormal image according to the distance and the contour, and if so, emitting an alarm signal. After obtaining the feature region of the monitoring image, the monitoring alarm method analyzes the distance and the contour of the feature region and the camera to determine whether or not to emit an alarm signal, solves the problem that the prior art transmits alarm information to causeerror alarm if the current monitoring image is different from the previous monitoring image, and can further analyze the abnormal monitoring image before the alarm information is transmitted to determine whether or not to give an alarm, thus reducing the error alarm rate and avoiding bringing unnecessary trouble to the user.

The invention discloses an intelligent combustible gas detector and a detection method thereof. The intelligent combustible gas detector comprises a shell, and a smoke sensor, a buzzing alarm system and an ESP8266 WIFI module are arranged in the shell. The intelligent combustible gas detector has the following advantages that the functions of indoor gas detection, buzzing alarming, real-time data viewing, automatic connection between WIFI and a router, automatic alarming of a mobile phone and the like are achieved, effective warning can be performed in the initial stage of combustible gas leakage, and the hazard range is decreased to be minimum in time.

The invention provides a train bearing fault diagnosis method based on multi-directional reconstruction, which relates to the technical field of data-driven train fault diagnosis. The train bearing fault diagnosis method adopts a dynamic internal model principle component analysis method to perform modeling on bearing temperature data in the normal running process of a train, so as to monitor bearings in the train running process, diagnoses a fault sample by adopting a contribution method based multi-directional reconstruction when a fault is detected, and positions the faulty bearing. The train bearing fault diagnosis method provided by the invention has a more reasonable explanation for the bearing fault state of the train, effectively monitors the bearing state during the train runningprocess, can solve the under-reporting problem of the traditional detection method based on a threshold rule, and detects the bearing fault state of the train timely.

The invention relates to a timepiece movement tester. The objective of the invention is to solve the problem of fault testing caused by interference of adjacent timepiece movements. According to the technical scheme of the invention, a power source module of an instrument is fixed on a bottom plate of a casing; a signal acquisition module and a computing module are integrated on a PCB; the PCB is inserted in a casing; a display module is fixed on a panel at the front surface of the casing; wiring terminals are fixed on a panel at the back surface of the casing; each wiring terminal is connected with more than two movements; and each movement is corresponding to test channels of one instrument. The timepiece movement tester is characterized in that all test channels of the instrument are divided into four groups; each group of test channels acquires signals independently; acquired signals are temporarily stored; the computing module computes the signals in a centralized manner; and the display module displays test and computing results in a centralized manner.