171results about How to "Resolve exception" patented technology

The disclosure relates to a smart TV anomaly detection method and device. The method comprises: acquiring a currently displayed image displayed on a display screen of a smart TV; judging whether the currently displayed image is matched with a corresponding preset abnormal image or not; and determining whether the smart TV is in an abnormal state or not currently according to the matching result. According to the technical scheme, the currently displayed image displayed on the display screen of the smart TV can be automatically acquired, then whether the currently displayed image is matched with the corresponding preset abnormal image or not is judged to determine the matching result, and whether the smart TV is in an abnormal state or not currently is automatically determined according to the matching result, so that timely and accurate judgment of the abnormal state of the smart TV is realized, and accurate analysis of abnormal reasons, abnormal problem solution of the smart TV and the smart TV quality improvement are facilitated accordingly.

The application relates to a micro-service monitoring method and device, computer equipment and a storage medium. The method includes the following steps of: displaying a link call monitoring page, wherein the link call monitoring page includes an identifier input entry; receiving a query identifier for the identifier input entry; displaying link call information, wherein the link call informationis information which is queried according to the query identifier and is generated when the micro-service is called; receiving an abnormal query request for the link call information when the link call information is abnormal; and displaying an abnormal query result of the link call information in response to the abnormal query request, wherein the abnormal query result is a result of querying the link call information. By adopting the method, the operation and maintenance personnel can be assisted to quickly search and track various link call information by using the link call monitoring page, and when the micro-service call is abnormal, the abnormal problems can be quickly positioned and solved, so that the functions provided by the micro-service monitoring method are more diversified.

The invention provides a method for showing a progress bar. The method comprises the following steps of: calculating a finish time of a task; setting a constant-speed region in the progress bar corresponding to the task, wherein the length of the constant-speed region is over half the total length of the progress bar; and controlling the progress bar to move forward at a constant speed in the constant-speed region according to the finish time of the task. By the method, the progress bar can move forward smoothly at the constant speed, so the problems that the progress bar has to wait for the finish of a subtask and stops moving forward, and the progress bar moves forward alternatively between slow and fast under most conditions can be solved.

The disclosed forming method for topological structure of stack system comprises: arranging two or more exchange units for the system, sending topological message with label item from one unit to another to determine the unique feature of exchange unit, selecting a main unit to send message to other units, beginning topological convergence. This invention improves stack system reliability.

The invention discloses a method, service node equipment and access node equipment for keep-alive processing, wherein the method comprises the following steps: when a user is accessed to the service node equipment through the access node equipment, the service node equipment interacts with the access node equipment and sends user key information of changes of online status to the access node equipment; the service node equipment receives the information of offline users, which is fed back by the access node equipment through checking a media access control address table; and according to the information of the offline users, the service node equipment conducts keep-alive processing on the users hang up under the access node equipment. Pressure of users detected by SN is dispersed to different ANs, thus reducing the pressure of keep-alive processing of the SN to the users, avoiding possible abnormal problems caused by that the SN is too busy due to large keep-alive processing amount inSN, and guaranteeing the stability of network.

The invention discloses a method of releasing group call channel and base station subsystem (BSS), where after stopping broadcasting group call notification message, and/or issuing Channel Release message, the BSS releases the group channel so as to assure no mobile station park on the group call channel, able to effectively solve the abnormal problem of mobile station in the course of downlink detection of group call channel release and improving the robustness of downlink detection function.

The invention provides a network abnormity detection method. The method comprises the following steps: 1, determining attribute of clustered MIB (Management Information Base) data according to a to-be-detected network to generate an attribute vector X; 2, sampling the MIB data in a predetermined time; 3, executing clustering analysis treatment on the acquired MIB data; IV, executing outlier detection on a clustering analysis treatment result, wherein the cluster of which the number of members in the clustering analysis treatment result is smaller than a specified threshold value is judged to be an isolated event in the step IV, and occurrence of network abnormity in the time corresponding to the isolated event is judged.

The invention relates to the technical field of big data, and discloses a service processing method, device and equipment based on a message queue and a storage medium, which are used for improving the efficiency of solving the abnormal problem of the message queue. The service processing method based on the message queue comprises the following steps: verifying a service message access request according to a preset white list and a preset read-write permission list to obtain a verification result; when the verification result is that the verification fails, generating and sending warning information containing that the access permission is abnormal; when the verification result shows that the verification is successful and the message consumption state of the target message queue is a blocked state, reprocessing the service message access request through a preset fusing current limiting strategy; and in the process of processing the service message access request, generating and sending message track data based on the service message identifier. In addition, the invention also relates to a blockchain technology, and the message track data can be stored in the blockchain node.

The invention provides a progress bar setting method including the following steps of calculating task finishing time, arranging a constant speed interval in a progress bar corresponding to a task, wherein the constant speed interval accounts for more than half of the total length of the progress bar, and controlling the progress bar to move forward in the constant speed interval at a constant speed according to the task finishing time. By means of the progress bar setting method and device, the progress bar can move forward smoothly at a constant speed, and the problems that the progress bar stops moving in the moving process due to the fact that the progress bar waits until subtasks are finished, and the moving speed of the progress bar is not constant on most situations are solved.

The invention provides a chassis domain controller for an intelligent vehicle, a vehicle control method and the vehicle. The chassis domain controller comprises a signal processing unit, a logic verification unit and a model solving unit which are connected with one another; the signal processing unit is connected with a plurality of sensors of the vehicle and used for obtaining original signals detected by the sensors, the original signals are processed to obtain a driving signal reflecting a vehicle state or a road environment, and the driving signal is sent to the logic verification unit and the model solving unit; the model solving unit is used for receiving the driving signal, carrying out model solving based on the driving signal and determining a decision result; and the logic verification unit is connected with the plurality of sensors and is used for determining a verification signal according to the original signals, comparing the verification signal with the driving signal so as to realize the verification of the driving signal, performing verification calculation according to the verification signal, determining a verification result, and comparing the verification result with the decision result so as to realize the verification of the decision result.

The invention discloses an intelligent patrol system for a communication device. The intelligent patrol system comprises a two-dimension code label and a handheld patrol instrument, wherein patrol system management software is mounted in the handheld patrol instrument, the two-dimension code label is arranged on each communication device, the two-dimension code label comprises two regions, namely a two-dimension code region on the left and an equipment information bar on the right, unchangeable information of the device is complied into two-dimension code information, and the information recorded in the equipment information bar comprises relevant paper data of various electric power telecommunication equipment. According to the intelligent patrol system for the communication device, the two-dimension code label is arranged on the communication device, the two-dimension code label has the two regions for recording changeable information and unchangeable information, wherein the changeable information is formed in a way that relevant paper data of various electric power telecommunication equipment is electronically, visually and intelligently managed, so that relevant personnel can rapidly and accurately take and check information including model, function, operation and the like of needed equipment.

The invention discloses an image signal processing method and device. The method comprises the steps of: in a current frame, determining a first adjusting parameter of an image, setting a set register to a hold mode and writing the first adjusting parameter into a cache; setting the set register to a release mode after the first adjusting parameter is written into the cache, and writing the first adjusting parameter stored in the cache into the set register; and carrying out adjustment on the image according to the first adjusting parameter when a next frame is started. According to the method, a hold-release function is added based on the double-buffer register, and the image abnormal problems caused by cross-frame operation of the register are avoided.

The invention provides a display screen processing method and apparatus. The method comprises the following steps: acquiring state information used for identifying a state of a display screen; according to the acquired state information, determining whether the display screen is abnormal; and under the condition of a determining result of abnormity, performing recovery processing on the display screen. According to the invention, according to the acquired abnormal state information of the display screen, the abnormity of the display screen is processed, a user does not have to perform restart, the problem of the abnormity of the display screen can be solved, the problem of low user experience caused by a single display screen processing method in correlated arts is solved, and the effect of improving user experience is realized.

The invention provides a method and device for signaling analysis. The method for signaling analysis comprises the steps of screening abnormality causes of an abnormal event based on hardware acquiredabnormal bills; and determining an abnormal service process corresponding to each abnormality cause. The signaling association analysis comprises the steps of analyzing association rules of abnormalsignaling and the process at each interface according to software acquired signaling bills; connecting the signaling bills by using key fields and timestamps at each interface based on the associationrules so as to determine causes of the abnormal service process.

The invention provides a gas pipeline leak detection and alarm device with the emergency cut-off function. The gas pipeline leak detection and alarm device with the emergency cut-off function comprises a detachable pipe body, a movable sealing ball core, a detection sensor, an adjustable resistance spring, a gas flow regulation pipe, a sound and light alarm module and the like. The gas pipeline leak detection and alarm device with the emergency cut-off function is perpendicularly installed on a user gas pipeline, and by utilizing the principle that gas flow is generated because of differentialpressure formed in the pipeline under the situation of leakage during gas using, the light movable sealing ball core in the device is enabled to suspend in air, and then triggers the sound and lightalarm module to give out an alarm signal; under the situation that gas is overused or gas leaks out after the pipeline disconnects, the movable sealing ball core is stressed with thrust of gas flow below and quickly moves upwards till the movable sealing ball core completely seals a gas outlet to stop leakage, and the emergency cut-off function for safety is achieved; and after a user stops usinggas appliances such as a kitchen range and a water heater, the user gas pipeline automatically goes into the protection state for 24-hour leakage detection and alarm. The gas pipeline leak detection and alarm device with the emergency cut-off function has the advantages of being simple in structure, low in cost, high in safety, and capable of adapting to various places needing gas.

The invention discloses a vehicle abnormity handling method. The method includes the steps that a server receives abnormity information sent by a vehicle and matches the abnormity information with information stored in a preset database; when matched abnormity information exists, an abnormity solution corresponding to the abnormity information is acquired from the database, and the abnormity solution is sent to the vehicle so that the vehicle can carry out corresponding operation according to the abnormity solution. The invention further discloses the vehicle abnormity handling server. By means of the vehicle abnormity handling method and server, the abnormity handling efficiency is improved.

The invention relates to an automatic control sewage treatment system. The automatic control sewage treatment system comprises a sewage treatment module, a PLC (programmable logic controller), a levelsensor for detecting the water level inside a sewage tank, a state detector for detecting the working state parameters of sewage treatment equipment, a water quality data monitor for acquiring waterquality monitoring data in the sewage treatment module, and a server, wherein the server can compute and analyze the water level, the working state parameters of the sewage treatment equipment and thewater quality monitoring data to comprehensively determine the working state of the automatic control sewage treatment system; when the automatic control sewage treatment system is abnormal, the server can at the first time transmit corresponding working instructions to the PLC, and then the PLC automatically controls and adjusts the working equipment and the program parameters of the automatic control sewage treatment system. The automatic control sewage treatment system can achieve comprehensive information collection and analysis, and once abnormality occurs, can timely handle the abnormality, thereby improving the emergency capacity of enterprise sewage treatment and facilitating sewage discharge control for enterprises.

The invention provides a control method and device of a microwave oven circuit and a microwave oven. The microwave oven circuit comprises a magnetron and an inverter circuit driving the magnetron to operate. The control method comprises steps of: detecting the zero-crossing point (ZCP) of a commercial power signal powering the microwave oven circuit when the inverter circuit is required to be started; enabling the inverter circuit to be powered up when it is detect that the commercial power signal reaches the ZCP; inputting a first power signal with a frequency lower than a target frequency into the inverter circuit when the powered time length of the inverter circuit reaches a first preset time length; detecting the current of the magnetron; and inputting a second power signal with a frequency equal to the target frequency into the inverter circuit when the current of the magnetron reaches a preset current value. The control method is capable of decreasing the voltage on both ends of a bridge rectistack and preventing the bridge rectistack from being damaged by overhigh voltage on both ends of the bridge rectistack.

The invention relates to a numerical value correction method of a battery charging and changing station vehicle monitoring system and belongs to the technical field of battery charging and changing. The method is used for correcting data abnormalities and errors which cannot be avoided during data acquisition in the monitoring system, firstly a corresponding correction value is calculated according to a corresponding correction business and a correction value algorithm, and then cumulative summing is conducted according to readings of a data acquisition meter to obtain the cumulative true value of the data meter. By correcting the readings of the vehicle meter in the battery charging and changing station monitoring system, abnormal errors between meter readings and true values due to vehicle base number, meter damage and business logic are eliminated, so that the problem of errors and abnormalities in meter reading data acquired in the monitoring system is solved; through the correction by a correction system, the accuracy and effectiveness of meter data can be greatly improved; favorable data guarantees are provided for data monitoring and gathering by the battery charging and changing station vehicle monitoring system.

The system comprises: multi operation maintaining units; multi processing units; multi static parameter transmitting modules located in each operation maintaining unit for transmitting the static parameters to be synchronized to processing units in order to synchronize static parameters in each processing unit; flush bonding database managing module located between operation maintaining unit and processing unit for use in defining the static parameters and managing data; frond stage configuration and management module located in operation maintaining unit for use in configuring the data of radio network controller and triggering the static parameters transmitting module to implement synchronization of static parameters in each processing unit; and static parameters receiving module located in each processing unit for use in receiving and modifying the static parameters and implementing synchronization of static parameters.

The invention discloses a monitoring fault processing method, a monitoring fault processing device, a storage medium and electronic equipment, and relates to the technical field of data communication.The monitoring fault processing method is applied to a system including a message queue and a message consumption side. The monitoring fault processing method comprises the steps of: decoupling a message monitor from a message processing application at the message consumption side; monitoring the message queue, and, if the fact that an abnormal message queue exists in the message queue is monitored, notifying the abnormal message queue to a monitoring manager at the message consumption side through a predetermined channel; determining the message monitor corresponding to the abnormal messagequeue as the target monitor by the monitor manager; and, detecting the target monitor, so that the target monitor is restarted in a condition that the fault of the target monitor is detected. By meansof the monitoring fault processing method, the monitoring fault processing device, the storage medium and the electronic equipment disclosed by the invention, the problem that the message queue is abnormal due to the fault of the monitor can be solved; and furthermore, high-cohesion and low-coupling design requirements can be realized by decoupling between the monitor and the message processing application.

The invention provides a version management and fast iterative deployment method of a large data platform. The method includes: putting a large data configuration book into a virtual machine for running, and then saving the virtual machine as a mirror file; Uploading the mirror file to the mirror warehouse server, and generating a corresponding timestamp; After receiving the configuration versionupdate instruction from the cluster administrator, sending out the mirror file of the whole cluster corresponding to the big data, and starting the relevant virtual machine process at each host node by the mirror warehouse server to realize the iterative update of the configuration version of the whole cluster. The invention also provides a version management and fast iterative deployment system of a large data platform, which reaches the upgrading iteration of the management configuration of the whole cluster through the iteration of a mirror file.

The embodiment of the invention provides a rotary mechanical equipment working condition detection method and rotary mechanical equipment working condition detection equipment. The method comprises the following steps: acquiring current operation data of the rotary mechanical equipment; and inputting the current operation data into a pre-trained working condition detection model to obtain a predicted operation result based on the current operation data. According to the embodiment of the invention, through the automatic learning of the historical data of the rotary mechanical equipment, the problems of equipment abnormity and inaccurate working condition judgment caused by a general analysis method due to different factors such as different types of equipment, different sensor models, different operation environments and different flow media are effectively solved.