42results about How to "Convenient location analysis" patented technology

A monitoring method and system for process comprises sending designated signal to the father process of the said son process when the son process retracts, with the designated signal composed of process marker that corresponds to a son process, with the said father process identifying the retracted son process based on the received signal. The system comprises son process handling unit and father process handling unit. Using this said method and system, it can make timely monitoring to the process abnormal retracting, with all kinds of son process retracting circumstances and corresponding abnormal retracting reasons.

The invention provides a method for saving important information during system crashes and comprises the following steps: a watchdog generates system error signal and provides the signal to a processor; the processor triggers an exception handling program for recording important information during system crashes; after the information is recorded, a reset signal is generated for resetting the system. Simultaneously the invention provides a storage system for storing important information during system crashes, which comprises the watchdog that is used for generating the system error signal; a processor unit that is used for triggering the exception handling unit according to the system error signal; an exception handling unit that is used for recording important information during system crashes and generating the reset signal for resetting the system after information is recorded. The invention can record system information and user-caring information in time during system crashes, and by changing places for recording information and adopting an automatic storage way after starting the system, the invention can extract information very simply and conveniently.

The invention mainly relates to a visual detection method, in particular to a motor vehicle registration certificate detection method based on vision. The method includes the following steps of 1, image acquisition, wherein a motor vehicle registration certificate image containing the information of a number plate, an engine code, a vehicle identification number (VIN), the registration date, the issue date and a red seal is acquired; 2, information localization, wherein the five pieces of information of the number plate, the engine code, the VIN, the registration date and the issue date on the motor vehicle driving license are localized through image processing; 3, character segmentation, wherein character segmentation is carried out on the number plate, the engine code, the VIN, the registration date and the issue date which are localized in the step 2, and single character segments obtained through segmentation are stored in a classified mode; 4, character recognition, wherein through a trained artificial neural network classifier, single character recognition is carried out on the single character segments obtained through segmentation in the step 3, and the recognition result is output. The method is used for registration certificate information recognition.

An automatic on-off test system disclosed by the present invention is mainly composed of an automatic on-off test device, a networking device and a tested device, the automatic on-off test device is composed of a data storage module, a control signal input module, a work state output and test result analysis module, a processing module and a variable voltage output module, and the networking device is composed of a switch or a serial server and a power strip. The present invention also discloses an automatic on-off test method. The test method of the present invention is simple, is low in automatic test popularization difficulty, can simulate the actual application environments of the users, satisfies the automatic on-off test demands of the electronic products in a low-cost manner, and achieves the purposes of reducing the labor cost, improving the test efficiency and enhancing the product quality.

The invention relates to an automatic chip testing method and an automatic chip testing system. The automatic chip testing method includes recording testing values of all pins at all testing time points of a tested chip in real time; extracting the testing values; comparing the testing values with expectation values and generating a comparison report according to a comparison result; positioning failure information of the tested chip according to the comparison report, wherein the failure information includes failure pins and failure time points of the failure pins. The automatic chip testing method is capable of acquiring all the failure time points of all the failure pins, facilitating positioning analysis of failure positions and failure reasons according to the failure time points of the failure pins, analyzing the testing values comprehensively through setting of different expectation values and offering more detailed and accurate testing results to guarantee the testing success rate.

To overcome defects in prior art, the provided simulation method for network damage comprises: generating configuration table contained abnormal simulation information; generating abnormal data package according to abnormal simulation information to calculate the sending time and thereby send abnormal data package. This invention is simple and convenient, reduces cost and testing period greatly, and can construct abnormal simulation with high precision for wide quantitative testing.

The present invention provides a method and system for monitoring a process. The method mainly includes: A. monitoring the heartbeat of the process in the system, and the process regularly reports the heartbeat message; B. according to the heartbeat message reported by the process The condition identifies an abnormal process. The system mainly includes: a unit for monitoring the heartbeat of the processes in the system, and the process regularly reports heartbeat messages to the unit for monitoring the heartbeat of the processes in the system; The condition of the message identifies the abnormal unit of process. By using the method and system of the present invention, the abnormal exit of the process can be monitored in real time, and various forms of sub-process exit conditions and corresponding abnormal exit reasons can be monitored.

The invention discloses an embedded system hardware fault detection and processing method based on a fault tree, which comprises the following steps: step 1, generating a fault tree configuration file; step 2, storing that fault tree configuration file in an embedded system device, reading the fault tree configuration file when the system device is run, and generating a fault detection execution sequence chain list according to the tree structure analysis; step 3, that fault management system periodically traversing and executing the fault detection of each fault unit accord to the order fromthe tail part of the fault detection execution sequence chain list to the head part, and saving the detection result. The hardware fault detection and processing method of the embedded system based onthe fault tree of the invention can flexibly set the hardware to be detected, the detection mode, the fault processing mode and the hierarchical relationship of the hardware by using the fault tree configuration file. The fault of embedded system can be detected in real time, and the fault can be handled in time to prevent the influence from being enlarged.

The invention discloses a biological sequence analysis platform which comprises a computer, an input module, an analysis module and an output module, wherein the computer comprises a user interface; the input module is used for manually inputting a biological sequence to be analyzed on the user interface, or uploading a readable-format file recording the biological sequence; the analysis module is used for analyzing the biological sequence obtained by the input module to obtain an analysis result; and the output module is used for displaying the analysis result obtained by the analysis module on the user interface, and / or exporting and storing the analysis result in a pre-defined external file outside the biological sequence analysis platform. The biological sequence analysis platform disclosed by the invention has a simple interface, realizes one-stop analysis, and remarkably saves labor and material resources; meanwhile, by adding a batch processing module, the result visualization and storage are enhanced to facilitate the subsequent analysis and view; and in the analysis process, the powerful search algorithm is improved, and the corresponding analysis time is shortened.

The invention relates to a deep recovery method for the database content, which is realized by the following steps of: (1) pre-processing stage; and (2) matching stage: after the pro-processing is finished, notifying a protocol analysis module, reading a built database operation stream file by a process, reading the file line by line, invoking a kmt algorithm, and analyzing the real database operation in the line. According to the deep recovery method, a database operation process can be truly recovered, a database access behavior can be effectively monitored, the safe state of a database system is accurately mastered, events which violate a database security policy are found in time and are alarmed and recorded in real time, security incident positioning analysis and afterward tracing and evidence taking are convenient to carry out so as to guarantee the security of the database, and whether violated keywords exist is analyzed on the existing basis after the database content is completely recovered.

The invention discloses a memory analysis method, device and system. The method comprises the steps of obtaining a memory snapshot file during system running, wherein the memory snapshot file comprises at least one type of memory objects, and each type of memory objects comprises attribute information organized according to a preset data specification; creating at least one table structure, wherein each table structure corresponds to one type of memory object; analyzing the memory snapshot file, and analyzing attribute information of each memory object into a corresponding table structure according to a corresponding data specification; and retrieving the at least one table structure so as to perform memory analysis according to a retrieval result. According to the method, the attribute information of the memory object in the memory snapshot file is collected into a plurality of table structures, so that the memory problem is analyzed and positioned by retrieving data in the table structures.

The embodiment of the invention discloses a method, device and electronic device for testing application program performance. The method comprises steps of building preset operation system environment and operation system parameters in electronic devices for testing the application program performance, configuring consistent data environment for the electronic devices, starting the electronic devices in preset network communication environment to perform experiment test, obtaining performance test log information of the electronic devices within a preset standing stage and analyzing the network communication environment according to the obtained performance test log information, wherein if the network communication environment meets preset stable conditions, the electronic devices are arranged to start a to-be-tested application program to test the performance under the conditions of the same powder supply. The application program test precision can be improved, and the application program test efficiency is enhanced with the application program of the method, device and electronic device.

The invention discloses a disinfection and sterilization lamp. The disinfection and sterilization lamp comprises a base and box body, wherein the box body is arranged at the upper part of the base; a storage battery and a power supply processing module are arranged in the box body; a control panel, a lamp interface and a lamp control valve are externally arranged on the box body; an AC power supply input port is formed in the control panel; the input port of the AC power supply is respectively connected with the input end of the storage battery and the input end of the power supply processing module; the lamp control valve is connected in series with the output end of the power supply processing module, the output end of the storage battery and the lamp interface. The disinfection and sterilization lamp further comprises safety modules including a detection module, an alarm module, an automatic power off device and the like, and different from the prior art, the disinfection and sterilization lamp can adopt two power supply modes, facilitates application, is safe and reliable and has very good social and economic benefits.

The invention discloses an instation signal based comparison method of remote transmission point tables. The instation signal based comparison method is mainly used for performing automatic comparison on two different time sections of remote transmission point tables generated in the process of engineering configuration of the remote transmission point tables and assisting the engineering personnel to understand the similarities and differences between the two different time sections of remote transmission point tables. The instation signal based comparison method includes that step 1, the different time sections of remote transmission point tables are generated in the process of engineering configuration; step 2, the engineering personnel can select the two different time sections and the same signal type of remote transmission point tables; step 3, the automatic comparison is performed on the remote transmission point tables; step 4, a comparison result and an analysis report are outputted. According to the instation signal based comparison method of the remote transmission point tables, the engineering personnel can understand operation such as adding, deletion, covering and insertion on the remote transmission point tables through comparison, workloads for maintaining the remote transmission point tables can be reduced, the maintenance of remote transmission communication and the positioning analysis of problems can be convenient, the operation such as adding, deletion, insertion, covering and attribute modification on the two time sections of remote transmission point tables can be analyzed rapidly, and the maintenance difficulty and the maintenance risk of the remote transmission point tables are reduced.

The invention discloses a data acquisition missing report monitoring method based on an education system and electronic equipment, and the method comprises the steps of A reading production data, obtaining the number of production data, reading consumption data, and obtaining the number of consumption data; B judging whether the number of the production data is equal to the number of the consumption data or not; and C if the number of the production data is not equal to the number of the consumption data, triggering an alarm notification. According to the invention, the incomplete data can bemonitored and alarmed in time, that is, the missing report condition in the data acquisition process is notified, so that the problem positioning of analysts is facilitated, and the reason of a wrongstatistical result can be quickly positioned and the statistical result can be corrected.

The invention discloses a method and a device for selecting a picture compression algorithm, relates to the technical field of picture processing, and aims to solve the problems that the picture compression algorithm in the prior art cannot ensure that the size of a memory occupied by a picture is minimum and the correct rate of picture recognition is not influenced. The method mainly comprises the steps of importing an initial picture; generating compression test cases respectively corresponding to a plurality of preset picture compression algorithms; Executing a plurality of picture compression algorithms respectively corresponding to the compression test cases, generating a plurality of compressed pictures of the initial picture, and storing the plurality of compressed pictures in a preset database; performing OCR recognition on the plurality of compressed pictures, and counting the character extraction success rate of the plurality of compressed pictures; in the compressed pictures, searching a target compressed picture of which the character extraction success rate is 100% and the memory occupied by the picture is minimum; And selecting a picture compression algorithm of the compression test case corresponding to the target compressed picture as a target picture compression algorithm. The method is mainly applied to the picture compression process.

The invention relates to the technical field of artificial intelligence, and discloses an exception handling method, device and equipment for an application program and a storage medium, the method comprises the steps of obtaining exception variable data from exception log data of a database, and classifying the exception variable data based on a version number of a target application program, and obtaining a training data set corresponding to the version number. And training each training data set by adopting a decision tree algorithm to obtain an anomaly classification model corresponding to each version number. When a service processing instruction of the target application program is received, executing corresponding service logic, and generating log information to be processed. When the to-be-processed log information is identified as abnormal log information, obtaining a version number of the target application program according to the to-be-processed log information, and matching an exception classification model corresponding to the version number. And performing exception classification on the exception log information through the exception classification model to obtain a corresponding exception classification label, and determining a corresponding exception handling scheme according to the exception classification label.

The invention discloses a hacker attack grading detection method and device. The method comprises the steps of obtaining log information; extracting related fields from the log information according to an aggregation model, and obtaining the aggregation model by fitting the corresponding relation between all the fields in the log information and hacker behaviors and obtaining the related fields having a pointing effect on hacker behavior judgment; obtaining a corresponding attribute value of the related field; performing aggregation calculation on the corresponding attribute values of the related fields to obtain scores corresponding to the log information; and according to the score and a preset hacker behavior grading judgment rule, carrying out grading judgment on a behavior corresponding to the log information. According to the method, the manual workload can be reduced, hierarchical pre-judgment of hacker attack levels can be realized, and new hacker attack skills can be detectedin a fuzzy manner, so that security personnel can further position and analyze the attack skills conveniently, and the purpose of feeding back other strategy protection is achieved.

It is a method to store the abnormal state information of the control system, which comprises the following steps: to set at least two degrees of counter in the watchdog system, and when the counter reaches the front degree value, the system triggers the non-shielding interval; the system stores the information easy to loose of the control system by use of the non-shielding interval; when the counter reaches the back degree value, the system triggers the reset signal to reset the control system.

The invention discloses a method and a device for automatically testing large traffic calls in an IMS system. The test method includes steps such as data configuration, test case writing, SIP user registration of calling and called numbers, timer and call counter initialization, simulated call test and displaying relevant test information on the interface. The test device includes a data configuration module, a test case editing module, a call control processing module, a protocol processing module, a message sending and receiving module, a timer processing module and an interface display operation module. The present invention allows editing different SIP signaling processes in different test cases, and then executes these different test cases to automatically perform different heavy traffic simulation calls, and can combine different network elements and different service characteristics to edit different business processes for flexible testing. The invention also provides the multiplexing function of test cases, and the bureau parameters can be edited and modified according to needs, which improves the use range and ease of use of the test device.

The invention provides an attack test system and method for a wireless router, wherein the system comprises a setting module, configured to set a test requirement; a message sending module configured to send a corresponding message to a target router according to the test requirement; and a monitoring module configured to monitor message interaction with the target router. The system and method can simulate a plurality of wireless terminals to send attack messages so as to make the attack environment of the wireless router easy to create; can control the type, the quantity and the frequency of the attack messages, simulate various combined scenarios to make the test flexible, and can test multiple target routers simultaneously to make testing more efficient.

The invention provides a watermark identification and error code copyright judgment method. Error data in the software operation process are obtained, an error code is generated by judging an error reason according to an error type, and a robot obtains the error code and inquires the error reason of the error code and software equipment information corresponding to the error code. And the robot combines the error reason and the software equipment information into an error result and feeds back to the user. And the software equipment can directly display the error code, so that the problem thata user needs to get the running log on site is solved, and the software after-sales maintenance cost is reduced. And a copyright system server records software equipment information, so that the problem can be more conveniently positioned, it is convenient to analyze what kind of project product easily suffers from the problem, people pay more attentions to avoidance of relevant problems in the research and development stage, and the delivery quality of the software product is guaranteed. The function that a robot inquires error information can enable people to quickly and accurately locate problems, and the cost of manual query and analysis of error reasons is reduced.

The invention discloses an automatic repair method for a firewall system, comprising: configuring an emergency server; after powering on a crashed equipment, entering a firewall system bootstrap program, connecting to the emergency server, and downloading an emergency repair program; the emergency repair program enters a crashed system to perform a scan to obtain a broken condition of the equipment software system and a diagnostic message of the hardware; packing the diagnostic message to a data report file, and uploading the data report file to the emergency server; the emergency server receives and analyzes the diagnostic report; if the firewall system can be repaired, the emergency server collects programs and data required for repairing and unlocking the system based on the analysis, and packing the programs and data to a data file; the emergency server sends the data file and information whether being repaired to the crashed equipment as a system repair pack; and if the firewall system can be repaired, an emergency repair program in the crashed equipment carries out a repair. The invention increases the reliability of the firewall system.

The invention provides a method and a device for testing multi-path demodulation of a baseband processing chip on a wireless base station. The device comprises a multi-path generating unit and a multi-path management unit, wherein the multi-path generating unit is used for establishing virtual test UE, generating a random number of multipath in a preset number range, determining the phase position and delay of the multipath, controlling an initial position of a search window, and controlling the search window to drift a preset step length toward the left or the right; and the multipath management unit is used for adding the multipath to the virtual test UE, informing the tested baseband processing chip to begin the demodulation, and dynamically managing the multipath according to conditions of the multipath generated by the multipath generating unit last time and at the current time. The method and the device can simulate a mobile terminal to pass through a real environment to greatlyimprove test coverage and test efficiency.

An automatic on-off test system disclosed by the present invention is mainly composed of an automatic on-off test device, a networking device and a tested device, the automatic on-off test device is composed of a data storage module, a control signal input module, a work state output and test result analysis module, a processing module and a variable voltage output module, and the networking device is composed of a switch or a serial server and a power strip. The present invention also discloses an automatic on-off test method. The test method of the present invention is simple, is low in automatic test popularization difficulty, can simulate the actual application environments of the users, satisfies the automatic on-off test demands of the electronic products in a low-cost manner, and achieves the purposes of reducing the labor cost, improving the test efficiency and enhancing the product quality.

The present invention provides a method and device for intelligently processing railway video data. The method includes acquiring an inspection video image taken by an inspection robot, wherein the inspection video image includes railway rails; constructing a plane Cartesian coordinate system, and Generate a grayscale image corresponding to the inspection video image in a Cartesian coordinate system; generate an edge image according to the grayscale image; analyze the edge image to obtain an adjustment angle, and rotate the grayscale counterclockwise according to the adjustment angle degree image to obtain the target image, so that the railway rail in the target image is parallel to the Y-axis of the plane Cartesian coordinate system. The invention processes the inspection video image, and adjusts the direction of the rail by rotating the image, so as to facilitate the positioning and analysis of other related components based on the position of the rail in subsequent image recognition.

The invention discloses a single base resolution positioning analysis method for N4-methylcytosine in deaminase mediated DNA, and belongs to the technical field of biology. According to the method disclosed by the invention, normal cytosine and 5-methylcytosine in DNA are subjected to deamination by utilizing cytosine deaminase A3A protein, then thymine is formed through subsequent polymerase chain reaction amplification, and a target analyte N4-methylcytosine can resist the deamination effect of cytosine deaminase A3A; therefore, cytosine is amplified in a subsequent polymerase chain reaction. In this way, only N4-methylcytosine modification can be read as cytosine in final sequencing. The method disclosed by the invention is high in selectivity and good in accuracy, and the single-base resolution map of N4-methylcytosine in DNA can be directly obtained without carrying out hydrosulfite treatment on a DNA sample.

The invention discloses an instation signal based comparison method of remote transmission point tables. The instation signal based comparison method is mainly used for performing automatic comparison on two different time sections of remote transmission point tables generated in the process of engineering configuration of the remote transmission point tables and assisting the engineering personnel to understand the similarities and differences between the two different time sections of remote transmission point tables. The instation signal based comparison method includes that step 1, the different time sections of remote transmission point tables are generated in the process of engineering configuration; step 2, the engineering personnel can select the two different time sections and the same signal type of remote transmission point tables; step 3, the automatic comparison is performed on the remote transmission point tables; step 4, a comparison result and an analysis report are outputted. According to the instation signal based comparison method of the remote transmission point tables, the engineering personnel can understand operation such as adding, deletion, covering and insertion on the remote transmission point tables through comparison, workloads for maintaining the remote transmission point tables can be reduced, the maintenance of remote transmission communication and the positioning analysis of problems can be convenient, the operation such as adding, deletion, insertion, covering and attribute modification on the two time sections of remote transmission point tables can be analyzed rapidly, and the maintenance difficulty and the maintenance risk of the remote transmission point tables are reduced.

The present invention mainly relates to a visual detection method, more specifically, to a visual detection method for a motor vehicle license, comprising the following steps: (1), image collection: collecting a number plate containing a number plate, an engine code, and a vehicle identification number VIN, date of registration, date of issuance and the image of the motor vehicle license of red seal information; (2), information positioning: use image processing to analyze the number plate, engine code, vehicle identification number VIN, registration date on the motor vehicle license (3), character segmentation: perform character segmentation on the number plate, engine code, vehicle identification number VIN, registration date and certificate issuance date located in step (2) Good single-character block classification storage; (4), character recognition: carry out single-character recognition with the trained artificial neural network classifier to the single-character block obtained by step (3), and output the recognition result. This method is used for identification of driving license information.