106results about How to "Fix false positives" patented technology

The invention discloses a lane line detection and GIS map information development-based vision navigation method. The method comprises the following steps: acquiring GIS map information, preprocessing, carrying out real-time image acquisition and lane line detection to generate a GIS local map in real-time, carrying out coupling verification on a track line detection result and the GIS local map through an ICP algorithm, and generating a high-credibility track line result according to the coupling result. The method can realize the credibility evaluation of the lane line detection through a geographic information system, corrects when false detection or missing inspection appears, expands the application range of the lane detection algorithm, and also can improve the map positioning precision through visual perception information, so the performances of a vision navigation system in a whole intelligent driving and aided driving system are improved, thereby the system can adapt to more complex environments.

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 detection system is composed of network flow acquisition unit distributed at each terminal in network system, and network worm analytic unit setup at server. The former collects information into and out of the terminal in real time. After snapshot and standardized processes, data are transferred to the analytic unit. Under request of analytic unit, the acquisition unit delivers suspicious attacking sample and basic status information of terminal. The analytic unit carries out statistics and analysis for flow data provided by the acquisition unit. Based on threshold value of flow, the analytic unit determines whether the terminal is possible to be suffered from worm attack or to become an attacking source. Based on determined result, and under interaction with the acquisition unit, the analytic unit requests the acquisition unit to deliver the said sample and information to carry out querying and matching operation in order to make determination, meanwhile alarming is sent out.

This invention relates to continuous casting dross detection method and device based on vibration detection. On section if the end of motion arm far away the long nozzle, assemble multiple vibration sensors with different directions to collect vibration signals of different directions; form sampled signal after amplifying, filtering, sampling and A / D transform; take off-line process for the ,mass collected signals to form norm eigen vector; use effective vector quantization algorithm to train codebook corresponding to all states used as codebook KB of all casting states when recognizing on line; by wavelet analysis method, obtain eigen vector of sampled signals; through the search and calculation for code word, decide which codebook that current state belongs to and give dross information. The advantage of this invention is that it needs just to set multiple vibration sensors on motion arm and treat the signal real time, and needs no other auxiliary device.

The invention relates to a similarity detection method for unknown vulnerability discovery based on patch information. The method comprises steps as follows: a known vulnerability function and a patchfunction after patching are sliced, and slices containing vulnerability related statements and slices containing patch statements are generated; variable names, variable types and function call namesof a to-be-detected function, the vulnerability slices and the patch slices are subjected to symbol normalization; the to-be-detected function, the vulnerability slices and the patch slices are mapped to vector space to generate to-be-detected function characteristic vectors, vulnerability characteristic vectors and patch characteristic vectors, one vector is formed by each of the to-be-detectedfunction characteristic vectors, the vulnerability characteristic vectors and the patch characteristic vectors, and a value of each dimension of the one vector represents a product of the number of appearing times of the characteristic statement in the function and TF-IDF weight; after generation of the characteristic vectors, similarity of the characteristic vectors is calculated and sequencing is performed, and whether unknown vulnerability with the characteristics similar to those of known vulnerability in a to-be-detected function set is judged. According to the method, disturbance of vulnerability unrelated statements can be effectively reduced, and detection accuracy is improved.

The invention discloses a vehicle lane prediction method and a lane level map. The level of current vehicle running road can be judged by using historical route data and lane level data, particularly under the condition of layering at road space level junctions of flyovers and the like, whether the current vehicle and an object vehicle are on the same road level and a collision risk exists within the three-dimensional spatial range can be judged, so that false alarm is inhibited.

The invention discloses a temperature detecting fire alarm device made of thermoelectric materials, comprising a thermoelectric converter, a signal processing circuit and an alarm, wherein the thermoelectric converter is used for converting variation of the ambient temperature into voltage signals and outputting the voltage signals to the signal processing circuit; the signal processing circuit is used for filtering and comparing the received voltage signals and then driving the alarm to ring, thus realizing alarm on fire; and the alarm is used for sending out an acousto-optic signal to promote alarm. The thermoelectric converter adopts the structure of concatenated thermoelectric pairs. Each group of thermoelectric pairs 5 is equal to a small power supply and that the output voltage is obtained through repeated addition of the voltage of each small power supply can be known according to the power supply concatenation rule in the circuit, thus the fire alarm device is environmentally friendly, without needing transmission parts, and has small system volume and wide temperature application range.

The invention aims at overcoming the memory leak defect and providing a memory leak detection method based on symbolic execution. Firstly, tested source codes are processed by using a static analysis tool to obtain static memory leak alarms; then, the source codes and the memory leak alarms are simultaneously input into a pile inserting device to obtain pile-inserted codes; then, the pile-inserted codes are input into a test case generating module to generate a large number of test cases and execute all test cases; the target memory leak situation is reported after operation of each test case finishes, finally all test execution outputs are summarized, and memory leak testing results are judged. The memory leak detection method solves the false alarming problem of static memory leak analysis and neglected alarming problem of dynamic testing, utilizes a symbolic execution technology to generate test cases, decreases artificial verification works of static analysis of memory leak results and improves dynamic execution efficiency.

The invention discloses a convex hull analysis-based shielded vehicle detection method and system. The method is implemented by comprising the steps of extracting a vehicle foreground region of a to-be-detected image containing a vehicle; marking a profile and a convex hull of the vehicle foreground region; performing subtraction on the convex hull and the vehicle foreground region to obtain a convex difference region of the vehicle; if a ratio of the area of the convex difference region of the vehicle to the area of the convex hull is greater than a threshold, determining that the vehicle is shielded; and when the vehicle is shielded, obtaining a segmentation line by utilizing the convex hull and the convex difference region, and separating the shielded vehicle from an unshielded vehicle through the segmentation line. According to the method and the system, the shielding detection of the vehicle in the image is realized, and a possibly existent false detection result is corrected by utilizing the convex hull and a convex difference, so that the accuracy and stability of detection are improved.

The invention relates to the technical field of substation fire-fighting equipment, in particular to a transformer fire-extinguishing method and a fire-extinguishing system thereof. The transformer fire extinguishing system provided by the invention includes a fire fighting device, a control valve group, a control system and a detection device. The transformer fire extinguishing method provided by the present invention uses a linear temperature-sensitive detector and a temperature probe detector to realize double detection, which can not only monitor the temperature of the main transformer and oil conservator of the transformer, but also realize the connection between the main transformer and the porcelain sleeve of the high-voltage transformer Point-type temperature monitoring is carried out at all points, and the circuit breakers on the three sides of the main transformer (high-voltage side, medium-voltage side, and low-voltage side) are detected at the same time to form a logical relationship. The fire extinguishing system is simple in structure, compact in layout, easy to control and convenient to maintain.

The embodiment of the invention provides an EGR flow fault judgment method, device and equipment, and the method comprises the steps: determining a correction coefficient according to an NOx emissionset value and an NOx emission measurement value of a target engine; obtaining a target deviation threshold value according to the correction coefficient and a preset deviation threshold value; according to a measured quantity of a flow parameter of the target engine and a set quantity of the flow parameter, determining the deviation of the flow parameter, wherein the flow parameter comprises at least one of a gas inflow amount and a waste gas amount; judging whether the EGR of the target engine has a flow fault or not according to the deviation of the flow parameter and the target deviation threshold value, wherein the judgment of the EGR flow fault considers NOx emission of the engine and further considers the influence of boundary conditions on the emission change of an original engine,so that the problem of false alarm or false report caused by inaccurate judgment of the EGR flow fault in the prior art is solved, and the fault monitoring robustness is improved.

The invention provides a steel rail defect recognition method based on ultrasonic signals, wherein an ultrasonic signal diagram for detecting steel rail defects is acquired, wherein the ultrasonic signal diagram comprises a plurality of signal points with depth information and width information of a steel rail, the ultrasonic signal diagram is input into a plurality of RGB channels, the pluralityof output images are subjected to feature enhancement and then are overlapped, a superposition image is obtained, an initial recognition neural network is trained on the basis of a preset rectangularframe and the superposition image, and a steel rail defect recognition neural network is obtained. The ultrasonic signals are processed through a plurality of RGB channels to obtain signal points corresponding to the defects so as to determine the outline of the defects, and a plurality of signal points corresponding to the defects are positioned on the basis of a preset rectangular frame, so as to recognize the location and the type of the defects; and the method has the advantages of being more accurate in recognition of the defects and high in recognition efficiency.

The invention relates to a gas monitoring alarm method which is used for performing monitoring and alarm on concentration of carbon monoxide in air. The gas monitoring alarm method is characterized in that a warning signal is sent when concentration of carbon monoxide in the air reaches a first preset concentration value and an alarm signal is sent when concentration of carbon monoxide in the air reaches a second preset concentration value which is larger than the first preset concentration value or a concentration change rate of carbon monoxide in the air reaches a preset change rate. Compared with the prior art, the gas monitoring alarm method has the advantage of effectively solving the false alarm and omissive alarm problems due to the facts that a hierarchical mechanism that warning is first and alarm is next is utilized and the preset concentration values or the concentration change rates are utilized during the alarm.

The invention discloses a library hit attack detection method, comprising the steps of separating HTTP traffic information from collected network traffic; analyzing the HTTP traffic information to obtain N URLs with N top ranked current page views; extracting the URLs which do not match a preset learning library from the N URLs as target URLs; determining login request messages as login behaviorsin the request messages according to payload of each request message of the target URLs; calculating a login failure rate of each source IP according to the payload of a response message correspondingto each login request message; and judging whether the login request of each source IP is a library hit attack or not according to the login failure rate of each source IP and a preset threshold. Theinvention also discloses a library hit attack detection device and equipment and a computer readable memory medium. The detection operation quantity can be effectively reduced, the processing efficiency and operation speed are improved, and the identification accuracy is improved.

The invention discloses a virus type identification method and device, wherein the method comprises the steps of: pre-processing to-be-detected behaviour data of virus to obtain a word frequency vector; obtaining the distances between the word frequency vector and each classified clustering centre point of the virus to obtain multiple distance values; and, determining the classification, where the clustering centre point corresponding to the minimum distance value in the multiple distance values is, as the type of the virus.

The invention discloses a running state analysis alarm module, system and method. The module comprises an event receiving sub-module, an event checking sub-module, a queue management sub-module, a running strategy management sub-module, a running state analysis sub-module, a running state signal lamp control sub-module and a database management sub-module. The system comprises the module. The method comprises: S1, classifying and grading equipment events; S2, filtering repeated and wrong equipment events; S3, according to historical data, determining risk coefficients of the equipment events; and S4, according to the coefficients and a system current state, generating system equipment state indicators by integrating fall equipment event information. The scheme provided by the invention solves the problem that there are a great number of repeated and falsely-reported events, can automatically analyze, evaluate and generate the system running state indicators, reports system running conditions according to the safety state indicators, effectively reduces the workload, improves the work efficiency, decreases the management cost and reduces the management difficulties.

The invention discloses a method and a device for identifying whether a remote file contains vulnerability or not. The method comprises the following steps of when a network request message passes a fire screen, comparing an inlaid rule base, when the network request message is matched with the inlaid rule base, recording the network request message information in a conversation recording list; and when the fire screen receives an access message sent by a server, if the access message is recorded in the conversation recording list, analyzing the content of the access message. According to the analysis result, the method for identifying whether the access message is a safe message or the message which contains a safety threat has the beneficial effect of timely and accurately identifying whether the remote file contains the vulnerability or not, and the problems of misreport and report fault of the method based on a characteristic detecting mechanism are effectively solved. Furthermore, the vulnerability contained in the identified remote file can be defended in advance.

The invention relates to a method and a system for recognizing services. The system comprises a protocol analyzer, a service recognizer, an attack feature base, an actual detection rule base and so on. The method comprises the steps of protocol recognition, service recognition, generation of the actual detection rule base, and deep detection. The method and the system have the advantages of high detection speed, high accuracy and so on when realizing service recognition simultaneously.

The invention claims to protect a tire pressure monitoring system for a single-track train, and belongs to the field of tire pressure monitoring devices for a rubber tire type single-track train. According to the monitoring system, one train is used as an independent monitoring unit, and each train comprises a set of the tire pressure monitoring system for the single-track train; according to the monitoring system, wireless pressure sensors are used, and tire pressure information is acquired in a manner of a wireless radio frequency signal; ultrasonic distance measuring sensors are used, and altitude data information is acquired in a manner of a current simulation signal; a data processing communication device is used for firstly screening acquired real-time measuring signal data, the screened real-time measuring signal data is filtered, then logic operation is performed on the filtered real-time measuring signal data, judgment is performed on the real-time measuring signal data after the logic operation, storage treatment is performed on the real-time measuring signal data after the judgment, and then the real-time measuring signal data after the storage treatment is uploaded to a train central controller through a train special communication interface and a control network according to a set time interval, so that the purpose of monitoring the operation safety of the train in a real-time manner is achieved. The tire pressure monitoring system disclosed by the invention has functions of power on self test, tire pressure under-pressure early warning, low-pressure warning, over-pressure warning, tire quick air leakage warning, height monitoring early warning and warning, normalcy data acquisition, normalcy system fault diagnosis, data backup and the like.

The invention discloses a rapid abnormity detecting method of a GIS device. The method includes the steps of obtaining a discharge amount daily average value of the GIS device, selecting the accumulation day number n and calculating the accumulated discharge amount x of the GIS device in n days, calculating an accumulated discharge amount threshold m in the n days according to a preset daily discharge amount threshold m1, and judging whether abnormity happens to the GIS device when the accumulated discharge amount x in the n days is larger than or equal to m. By means of the method, the problem of GIS rapid abnormity detecting is solved, the abnormal local discharge phenomenon in the GIS can be accurately found in time, the judgment result is accurate and timely, misinformation caused by external interference is effectively avoided, and the accuracy of abnormity detecting is achieved by means of the method.

The invention relates to the technical field of manufacturing of air compressors, in particular to an air tightness detecting device of an air compressor crankcase. The device comprises a base, a water tank, a vertical lifter and a crankcase sealing component, wherein the water tank is put on the base; the vertical lifter is mounted on the water tank through a support frame, and comprises a lifting table, a vertical guide column and a lifting driver; the crankcase sealing component is mounted on the lifting table, and comprises a vertical end cover set relatively moving in the vertical direction and a horizontal end cover set relatively moving in the horizontal direction; and an air inlet hole and an air inlet pipe joint are arranged on the horizontal end cover set. The device satisfies the air tightness detection of crankcases with different specifications through the vertical end cover set and the horizontal end cover set, has the characteristics of simple operation and quick detecting speed, largely reduces the manual detecting cost, and solves the wrong detecting condition in manual detection.

The invention belongs to the technical field of submarine cable state monitoring, and particularly relates to a submarine cable fault alarming and diagnosing method based on distributed optical fibertemperature, strain and vibration monitoring data. The submarine cable fault alarming and diagnosing method comprises the steps that fiber-breaking faults of sensing optical fibers are diagnosed according to characteristic values of the distributed optical fiber temperature, strain and vibration data; noise reduction processing of monitoring data is conducted through sliding average, reference data in a fault-free state are subtracted from the real-time monitoring data for normalizing; alarming thresholds of the temperature data, the strain data and the vibration data are set, fault alarming and positioning are conducted, and an abnormal area is determined; and by solving the average value of the data in the abnormal area and analyzing statistic and distribution laws of the data larger than the average value, the faults such as electric leakage, short-circuiting, insulation breakdown, anchor smashing, hooking and anchor dragging are diagnosed. According to the submarine cable fault alarming and diagnosing method, the problems of high false alarm rate and high alarm missing rate when the submarine cable state is monitored through a distributed optical fiber sensing technology are solved, and the submarine cable fault alarming and diagnosing method has the advantages that alarming accuracy is high and fault diagnosis can be achieved.

The invention discloses an Android malicious software detection system and an Android malicious software detection method based on signature and data flow mode excavation. The system contains a signature analysis component and a data flow analysis component, wherein the signature analysis component contains a signature generating module, a malicious software signature database and a signature matching module; the data flow analysis component contains a data flow analysis module, a data flow mode excavation module, a data flow mode matching module and a data flow mode rule base. During operation, signature operation and data flow mode excavation are carried out on known malicious software, a malicious software signature base and the data flow mode rule base are established, and then signature matching and data flow rule matching are carried out on to-be-detected software, so that the to-be-detected software is judged to be malicious privacy disclosure software or not. The system and the method which are disclosed by the invention have the advantages that the disadvantage that manual confirmation needs to be carried out on the traditional data flow detection is overcome, detection efficiency is improved, and misinformation problem caused by 'abuse' problem is avoided.

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 discloses a remote alarm method utilizing hotspots. According to the invention, the mac addhress of a determined wifi hotspot is searched by a wifi module in a binding manner. After an object equipped with an alarm is taken away or a person carrying the alarm leaves the transmitting range of the wifi hotspot bonded with the mac address, the wifi module cannot search signals of the hotspot bonded with the address, so that a communication module cannot send back any information. A server or a preset program on a cell phone sends out an alarm after confirming signal interruption of the hotspot. By using the method, error alarm can be avoided and no GPS signals are needed indoors for alarming. Besides, the above device can be used for kid missing alarming, so that the application range is wide.

The invention discloses a non-vehicle-mounted charger insulation detection starting judgment method and a circuit. An insulation detection starting judgment circuit is added between a positive bus anda negative bus of a contactor of the off-board charger, and after the off-board charger and a battery interface of the electric vehicle are physically connected and handshake of the two parties succeeds, the non-vehicle-mounted charger starts to detect whether the voltage of the outer side of the contactor output by direct current of the off-board charger is smaller than 10 V; if yes, performingcharging strictly according to the control guidance logic required by the new national standard, if it is detected that the voltage on the outer side of the contactor is larger than or equal to 10 V,judging whether the voltage on the outer side of the contactor is virtual voltage, if yes, the insulation detection starting judgment circuit is started directly or after waiting for set time, and ifnot, ending the charging time sequence and reporting faults. By judging the voltage attribute and quickly reducing the virtual voltage, the system can be charged according to the requirements of the national standard, the false alarm problem caused by the simple application of the national standard method is avoided, and whether the vehicle relay is adhered can be judged more accurately.

The invention discloses a remote intelligent firefighting emergency communication system based on multi-dimensional sensing vector correlation. The remote intelligent firefighting emergency communication system comprises a firefighting front end integrated system, a firefighting data processing unit, a narrow-band channel module, a low-frequency channel module, a broadband channel module and an intelligent firefighting emergency command center. The firefighting data processing unit comprises a sensing vector register block, a threshold value comparator block, a vector correlation calculating unit, a judging controller, a broadband channel switch, a multimedia data flow storer and a multimedia data flow buffer processor which are connected in sequence, and the sensing vector register blockis connected with a comprehensive vector converter, a narrow-band channel switch and a sensing data encoder of the narrow-band channel module in sequence. The comprehensive vector converter and the judging controller are connected with a status bit register, and the judging controller is connected with the narrow-band channel switch. The broadband channel switch is connected with a code stream data encoder of the broadband channel module. The remote intelligent firefighting emergency communication system can solve the phenomena of fire misdescription and omission, and risk prediction and low power consumption are achieved.

The invention provides a condensation-proof smoke detector base. The condensation-proof smoke detector base comprises a housing and a cover plate, wherein a smoke sensing probe module is embedded in the condensation-proof smoke detector base, a centering surface parallel to the cover plate is arranged in the housing, a base of the smoke sensing probe module is attached to the centering surface, and a heating piece is arranged between the base and the centering surface. Therefore, the smoke sensing probe module connected with the base can be heated by the heating piece, so that water drops formed through saturation of water vapor in air entering a smoke detector are heated, and false alarm caused by condensation is avoided.

The invention provides a passenger car and truck tire pressure monitoring sensor self-matching system, and belongs to the technical field of passenger car and truck tire pressure monitoring. The system comprises the following parts: a vehicle body; a first fender, a top of the first fender is arranged on the left side of the bottom of the vehicle body; a second fender, wherein the top of the second fender is arranged on the right side of the bottom of the vehicle body; tire hubs arranged on the two sides of the bottom of the vehicle body. A tire pressure sensor, a self-recognition module, an embedded tire pressure display, a built-in inductor and a built-in high-power inductor are used; the tire pressure monitoring system can be well used at a client side, the problem that a tire pressuremonitoring product display generates false alarms due to the fact that sensors do not correspond to one another and the problem that tire pressure products are manually maintained are solved, the problems that mixing, marking, tire finding, corresponding displays and the like in the front-loading market cannot be effectively operated are solved, and the passenger car and truck tire pressure monitoring sensor self-matching system has wide market prospects.

The invention relates to website usability monitoring, and aims to provide a website usability alarm method and system based on a web log. The website usability alarm method based on the web log comprises the steps: a usability management platform is established; an alarm field and a threshold value are set; an access log of a web server is acquired in real time; a local analysis module analyzes the access log, and judges whether the website in the area is abnormal or not; the analysis module uploads an analysis result to the usability management platform; and the usability management platformgenerates a new alarm for the analysis result, and provides a data statistical report. According to the website usability alarm method and system based on the web log in the invention, an alarm is given by collection of the access log of the website; the false alarm and alarm leakage problems due to the instability of the original circuit can be effectively solved; simultaneously, the stability problem between a cloud side and a client server is overcome; the alarm time can be self-defined; and rest disturbance is prevented.