254 results about "Computer Operation" patented technology

The invention discloses an intelligent agent-based automatic operation and maintenance method and system, and relates to the technical field of computer operation and maintenance, and the method comprises the steps: constructing an intelligent agent comprising a data collection layer, a state sensing layer, a decision-making layer and an execution layer, the data collection layer collects IT system multi-source data, the state sensing layer analyzes the state of the data sensing system, and the decision-making layer determines the state of the data sensing system; the decision-making layer generates an operation and maintenance instruction based on a sensing result decision, and the execution layer executes the instruction; relevant knowledge of the IT system is collected and sorted, and a knowledge graph is constructed; the intelligent agent is trained by using historical operation and maintenance data, the intelligent agent is enabled to try and explore in different environments through a reinforcement learning algorithm, the behavior of the intelligent agent is continuously adjusted according to a feedback result, and a decision model and an operation and maintenance strategy of the intelligent agent are optimized; and the intelligent agent monitors the IT system in real time, starts the data acquisition layer, the state sensing layer, the decision-making layer and the execution layer when detecting an abnormal event, and automatically executes corresponding operation and maintenance operation according to a decision-making result. According to the invention, stable and efficient operation of the IT system can be guaranteed.

The embodiment of the invention provides a GIS defect diagnosis method and system for intelligently selecting sensor data and a medium, and the method comprises the steps: obtaining first operation information of a digital twinborn model of a suspected abnormal GIS, and generating defect diagnosis result information in the digital twinborn model of the GIS according to the first operation information; the defect diagnosis result information generation method comprises the following steps: acquiring type and model information and equipment position information of a plurality of high-voltage equipment in an area preset according to a GIS (Geographic Information System), and determining radiation area data according to the type and model information and the equipment position information; determining partial discharge reason information and partial discharge position information according to a phase distribution diagram corresponding to the GIS, the amplitude / time trend data, the radiation area data and the position information of the partial discharge sensor; and determining defect diagnosis result information according to the partial discharge reason information and the partial discharge position information. Through visual man-machine operation, defect diagnosis result information can be accurately obtained through a background only by clicking an abnormal GIS once.

The invention discloses a computer information security processing method and system based on big data, and the method comprises the following steps: S1, collecting data generated in a computer operation process, and carrying out the data cleaning and standardization processing; s2, a deep learning-based threat feature extraction model automatically learns and extracts potential attack modes and behavior features through training data; s3, implementing continuous monitoring of user and system behaviors, and identifying suspicious behaviors of abnormal login and data access; s4, establishing a dynamic risk assessment model, and updating the risk assessment model according to the newly occurring threat case; and S5, generating and executing corresponding defensive measures, and automatically repairing vulnerabilities and triggering an alarm notification by isolating infected equipment and blocking malicious traffic. According to the method, the protection capability of computer information security is enhanced, the coping efficiency of security events is also improved, and a powerful guarantee is provided for information security in a big data environment.

The invention discloses a method, device and equipment for performing man-machine interaction with a desktop virtual image, a medium and a product. The method comprises the following steps: in response to a trigger request for a target client for realizing a desktop virtual image function, displaying a client interface with a full-transparent background of the target client in a set screen area of a computer desktop; loading a target Web page with the full-transparent background in the client interface with the full-transparent background; performing dynamic rendering display on the desktop virtual image in the full-transparent background target Web page; and performing man-machine interaction with a user through the desktop virtual image. According to the technical scheme provided by the embodiment of the invention, the desktop interaction effect of the virtual image can be realized only by using the drawing rendering function of the target Web page integrated in the target client without deep cooperation of codes of a computer operating system, so that the development difficulty of developers is effectively reduced, and the development efficiency is improved. And the development efficiency of the desktop virtual image function software is greatly improved.

The invention discloses an application program deployment method and device and a storage medium, and the method comprises the steps: automatically generating a mirror image file of an application program through a continuous integration tool, and automatically pushing the mirror image file to a container mirror image warehouse; and automatically pulling the latest mirror image file from the container mirror image warehouse to a plurality of target servers through a configuration file or a container scheduling tool, and starting container instances on the plurality of target servers in batches, thereby deploying the application programs on the plurality of target servers in a large scale. According to the method, automatic compiling, mirror image generation and containerization deployment of project codes are realized, so that the problem of low automation level in application program deployment in the prior art is effectively solved, and reliable guarantee is provided for stability and high efficiency of a production environment. The method can be widely applied to the technical field of computer operation and maintenance.

The invention discloses a safe operation and early warning system for rail transit. The safe operation and early warning system comprises an intelligent operation host, a radar sensor and an environment acquisition module, the radar sensor comprises a laser radar and a millimeter wave radar and is used for collecting 3D point cloud of the surrounding environment of the locomotive, the distance between surrounding environment objects and the locomotive, the movement speed and the locomotive angle; the environment acquisition module comprises a visible light image acquisition device and a thermal imaging image acquisition device and is used for acquiring visible light, a thermal imaging image and the ambient temperature around the locomotive; the intelligent operation host judges whether an obstacle exists or not according to the image and the environment temperature, judges the distance and category of the obstacle in combination with the vital sign condition of the obstacle, the track where the obstacle is located, 3D modeling, locomotive positioning information and the image, constructs a safety early warning strategy and sends out safety early warning; according to the system, whether an invader has vital signs or not can be quickly identified by adding thermal imaging, and the accuracy is improved; locomotive positioning, obstacle vital sign recognition and foreign matter invasion detection are achieved, the type, distance, size and movement trend of an obstacle are recognized when the obstacle is detected, alarm information is given through host computer operation, brake control is started, and the operation safety of a locomotive is guaranteed.

Circuits defined by n-state switching tables with n>2 are transformed by at least one n-state inverter which may be a Finite Lab-transform (FLT) into a Finite Lab-transformed (FLTed) n-state switching devices. Computer operations defined by transformed or modified n-state switching tables are applied in cryptographic operations, including one or more message digests or hashing methods or computer one-way functions. A keyword is generated from a public keyword by at least one modified known hashing method. A known hashing method may be selected from the group consisting of SHA-1, SHA-2, SHA-3, MD5, MD6, Blake2, Blake3 and CubeHash. Internal states of known hashing methods are modified to generate unpredictable hash values.

The invention provides a computer fault diagnosis and repair system and method based on artificial intelligence, and belongs to the technical field of computer fault diagnosis and repair, the computer fault diagnosis and repair system based on artificial intelligence comprises a data acquisition module, a fault diagnosis module, a repair scheme generation module and a repair execution module; an artificial intelligence technology is utilized, computer faults can be quickly and accurately diagnosed, a corresponding repair scheme is generated, the efficiency and accuracy of fault diagnosis and repair are improved, computer operation data are collected in real time through a data collection module, a fault diagnosis module analyzes the data through a machine learning algorithm, a fault diagnosis model is established, and the fault diagnosis efficiency is improved. Whether the computer has a fault or not and the type of the fault can be rapidly and accurately judged, the repair scheme generation module generates a corresponding repair scheme according to the fault diagnosis result, the repair execution module can rapidly execute the repair scheme, and the fault diagnosis and repair efficiency is greatly improved.

The invention provides an operation and maintenance alarm intelligent filtering and grading processing method based on a self-adaptive algorithm, and relates to the technical field of computer operation and maintenance management, and the method comprises the steps: obtaining an alarm event, extracting semantic and time sequence characteristics, carrying out the dynamic clustering through employing a self-adaptive similarity measurement mechanism, calculating a priority score based on an influence range and an emergency degree, and carrying out the calculation of an alarm result. And a self-adaptive filtering strategy is implemented in combination with the operation and maintenance resource state, and finally, filtered alarms are distributed to corresponding operation and maintenance units for processing, collection and feedback. According to the method, redundant alarms can be effectively reduced, resource allocation is optimized, and the operation and maintenance efficiency and the alarm processing accuracy are improved.

The invention relates to the technical field of computer hardware, in particular to a computer hardware fault detection system which comprises a driving module used for driving a computer to perform read-write operation, a detection module used for periodically detecting voltage information in the running process of the computer, and a processing module used for processing the voltage information, the storage module is used for storing historical voltage information and corresponding preset standards; the analysis module is used for judging whether the operation of the computer is qualified or not, determining an unqualified reason and generating a corresponding processing instruction to adjust the operation parameters in the corresponding module to corresponding values; the voltage stabilizing module is used for stabilizing the output voltage of the power supply; the heat dissipation module is used for adjusting the running temperature of the computer; and the protection module is used for adjusting the working voltage in the running process of the computer. According to the invention, the monitoring of the voltage information in the operation process of the computer is realized, the accurate identification and real-time regulation and control of the computer hardware fault based on the voltage information are realized, and the operation efficiency of the computer is ensured.

The invention discloses a multifunctional ship sensor detection test bed control system based on a PLC. The invention relates to the technical field of ship sensor detection, and solves the problems of low efficiency and poor detection precision of a traditional ship sensor detection method. The system comprises a ship sensor detection test bed upper computer operation unit, a main control system, a protocol converter and a lower computer sub-control system, an upper computer operation unit of the ship sensor detection test bed is connected with a main control system through the Ethernet, the main control system is connected with a protocol converter through a field bus, and the protocol converter is connected with a lower computer sub-control system through the Ethernet. The field to-be-tested sensors are respectively connected with the input and output terminals of the main control system; and the main control system adopts a PLC. According to the invention, the detection efficiency and detection precision of the ship sensor can be improved.

The invention belongs to the technical field of computer operation scheduling, and particularly relates to a GPGPU thread scheduling method and system, a terminal and a storage medium, and the method comprises the steps that an external host ranks calculation tasks according to the priorities of the calculation tasks, and sends a scheduling instruction to a GPGPU according to the ranking; the GPGPU divides a calculation task corresponding to each calculation core into a plurality of task blocks according to the scheduling instruction; the GPGPU configures a main thread bundle and a plurality of slave thread bundles for each task block according to the scheduling instruction, the main thread bundles are used for scheduling and activating the slave thread bundles, and the slave thread bundles are used for executing the computing tasks scheduled in the scheduling instruction after being activated. According to the method, parallel processing of tasks and effective utilization of resources are achieved, and the situation that the resources are idle is avoided.

The invention relates to the field of computer monitoring, and discloses a computer bypass monitoring method and system based on HDMI connection. The method comprises the following steps: monitoring a signal of an HDMI (High-Definition Multimedia Interface) which is used for connecting monitoring equipment and a confidential computer needing to be monitored by the monitoring equipment, starting a screen recording of the confidential computer and video shooting of a confidential computer operator to obtain screen recording data and shooting data when the HDMI signal disappears, and stopping the current screen recording and shooting operation when the HDMI signal disappears; acquiring camera data in real time, judging whether the camera data is abnormal or not, and if so, writing a wrong EDID value; and reading the EDID value of the current confidential computer in real time, and when the detected EDID value is wrong, executing a screen locking operation on the confidential computer. According to the method, the current equipment EDID value is read in real time, and when the correct value is not detected, the screen locking operation is executed, so that the technical problems that local storage is easily tampered, and when a local monitoring system is broken, all local monitoring strategies and monitoring modes are invalid can be solved.

The invention discloses a test system execution method, device, equipment and system and a storage medium, and the method comprises the steps: starting an in-place detection function of a downstream port of a PCIe exchanger through a computer operation system, and closing a hot plug interruption function of the downstream port of the PCIe exchanger; polling the state information of each test board card and / or optical module through a micro-control unit, and reporting the state information to a computer operating system after detecting that the state information is changed; and controlling the operation of the hot plug service in the automatic test system according to the state information through a computer operating system. According to the technical scheme, hot plug of the test system board card and hot restart of the test machine can be achieved, the timely fault recovery capability of the automatic test system is guaranteed, and the expansibility and flexibility of the test system are improved.

The computer-implemented methods, computer program products, and computer systems include computer operations that include executing, in a trusted computing environment, a call from a host in an untrusted computing environment, where the call is to determine a status of a large page of memory for use by a secure guest, where the secure guest is managed by the host in the untrusted computing environment. The executing includes determining that all small pages comprising the large page and the large page meet pre-defined security requirements. The executing also includes, based on the determining, setting security properties of the large page and the small pages comprising the large page to enable translation for the large page for a given block of memory of the secure guest. The executing also includes storing in a computing element, a designation identifying the large page as belonging to the secure guest.

The invention discloses an intelligent scheduling method and system for concurrent requests of a multi-tenant cloud computer operation management platform, belongs to the technical field of AI intelligent application, and aims at solving the technical problem of how to overcome the defects of resource preemption and low service quality of the multi-tenant cloud computer platform in a high-concurrency scene. According to the technical scheme, the resource utilization efficiency and the service quality guarantee capability of a multi-tenant cloud computer platform are improved, and the method comprises the steps of tenant behavior intelligent analysis: collecting related original data of each tenant in real time, constructing a tenant portrait model, and achieving multi-dimensional priority dynamic evaluation; resource demand time sequence prediction: predicting resource demands of a CPU, a GPU and a memory in a set period through a Prophet prediction model in combination with historical data and a real-time load, establishing a resource demand early warning mechanism, and performing resource pre-allocation in advance; an elastic resource allocation strategy is established, resource sufficiency and shortage scenes are distinguished, dynamic resource quota adjustment is achieved, and response time is shortened; and abnormal behaviors are monitored in real time and rapidly isolated.

The invention discloses a system and a method for behavior analysis and anomaly detection of an industrial personal computer, and relates to the technical field of behavior analysis of the industrial personal computer. A structured behavior sequence matrix is generated by collecting hardware, software and network multi-dimensional time series data and using parameters such as a state transition coefficient and a noise variance for noise reduction processing, so that the data accuracy is improved; a real-time updated normal behavior reference is constructed based on dynamic time warping and similarity calculation, behavior deviation is accurately evaluated, dynamic changes of an operation mode of the industrial personal computer are adapted, an anomaly severity score is calculated through multi-dimensional deviation value weighting, differential processing of slight and serious anomalies is achieved in combination with a hierarchical response strategy, and the safety of the industrial personal computer is improved. According to the method, excessive response or lag is avoided, key abnormal time sequence fragments and potential root causes are quickly positioned by means of gradient weight visualization, the accuracy of abnormal detection and fault processing efficiency of the industrial personal computer are remarkably improved, and the requirement for high reliability of an industrial control scene is met.

Methods and systems for pre-wakeword speech processing are disclosed. Speech audio, comprising command speech spoken before a wakeword, may be stored in a buffer in oldest to newest order. Upon detection of the wakeword, reverse acoustic models and language models, such as reverse automatic speech recognition (R-ASR) can be applied to the buffered audio, in newest to oldest order, starting from before the wakeword. The speech is converted into a sequence of words. Natural language grammar models, such as natural language understanding (NLU), can be applied to match the sequence of words to a complete command, the complete command being associated with invoking a computer operation.

The invention discloses an electronic file online encryption circulation transmission method and system, and relates to the technical field of electronic file transmission. The invention includes. According to the method, the electronic archive is subjected to block processing, each independent archive block is subjected to privacy information judgment, only the archive blocks containing the privacy information are subjected to encryption transmission, the computer operation efficiency is improved, the computer burden is reduced, decryption and recombination of the archive blocks are completed by the receiving end, and the archive transmission safety is guaranteed.

Systems, methods, and other embodiments associated with a specialized antenna expansion card for EMI fingerprint characterization of target computing systems are described. In one embodiment, a method for EMI scanning using a broadband antenna expansion card installed within a target computer includes causing the target computer to execute a test pattern of computer operations. The method includes taking readings of radiofrequency EMI generated by execution of the test pattern through the broadband antenna card that is installed within a chassis of the target computer. The method includes detecting that hardware of the target computer system is behaving anomalously based on a dissimilarity between the readings of radiofrequency EMI and machine learning estimates of radiofrequency EMI for nominal operation of a reference computer system. And, the method includes generating an electronic alert that the hardware of the target computer system is behaving anomalously.

The present invention relates to the technical field of signal analysis, and specifically discloses an automatic digital pole-zero cancellation method; on the host computer operation software, a default threshold is set for pulse signal acquisition, and a default starting pole-zero parameter value is set; the host computer operation software sends a command to the digital pulse amplitude analyzer to collect the pulse waveform after pole-zero once; it is judged whether the pulse tail of the received waveform is lower than the baseline value; if the pulse tail is lower than the baseline value, the pole-zero parameter value is adjusted; if the pulse tail is not lower than the baseline value, it is judged whether the current adjustment is the minimum number of digits of the pole-zero parameter; if the current adjustment is not the minimum number of digits of the pole-zero parameter, the current adjustment digit is changed, and then the pole-zero parameter value is adjusted; if the current adjustment is the minimum number of digits of the pole-zero parameter, the optimal pole-zero parameter value is obtained, and the automatic pole-zero process ends; compared with the traditional manual operation and discrimination, the present invention has multiple advantages: fast, good consistency, low requirements for personnel, and realization of automatic linkage.

The invention discloses a key with a rocker function, which comprises a shell, a swing part is arranged in the shell, a pressing shaft capable of driving the swing part to deflect to any direction of orthographic projection on a horizontal plane is arranged on the swing part, an axial first through hole is formed in the swing part, the pressing shaft is movably arranged in the first through hole in a penetrating manner, and a second through hole is formed in the pressing shaft. A first reset mechanism which enables the swing part to always have a return trend is arranged in the shell, and a second reset mechanism which enables the pressing shaft to always have an upward reset trend is arranged between the swing part and the pressing shaft. The rocking piece capable of deflecting to any direction orthographically projected on the horizontal plane is arranged in the shell, the pressing shaft is arranged on the rocking piece in a penetrating mode, the rocking piece can be controlled to swing through the pressing shaft in the game playing process, and therefore the rocking bar function is achieved, and the pressing shaft can move relative to the rocking piece in the conventional computer operation process, so that the rocking bar function is achieved. Therefore, the key function is achieved, one key achieves two functions, and the keyboard structure is simplified.

The invention discloses a spliced industrial personal computer operation table box bottom structure which comprises a box body, an operation table fixedly installed on the upper portion of the box body, a supporting base fixedly installed on the side wall of the operation table, a processing box fixedly installed in the box body and a connecting assembly arranged on the lower portion of the operation table. The connecting assembly comprises a heat dissipation mechanism arranged on the lower portion of the operation table, a filtering mechanism is arranged on the lower portion of the operation table, a moving mechanism is arranged on the lower portion of the operation table, the top of the supporting base is fixedly connected with the operation table, a box door is arranged on the front portion of the box body, and the end, away from the circulating pump, of the heat dissipation pipe communicates with the water tank. The problems that the heat dissipation effect in an existing device is poor, when power devices such as control elements are installed in a cabinet body, heat is generated in the using process, when the temperature in the cabinet body is too high, the internal elements are prone to being damaged, and therefore the applicability of the device is affected are solved.

This utility model discloses a rehabilitation device for lower limb dysfunction with adjustable angle, relating to the field of rehabilitation technology. It includes a base frame and a computer operating unit. The computer operating unit is installed on the top of the base frame, which has an adjustable support unit on top and a body support unit on top of the adjustable support unit. The device utilizes four square blocks on both sides inside the foot pedal. Two of the blocks have Velcro fasteners (first type) on top, and the other two have Velcro fasteners (second type) on top. During use, the patient places their foot on the foot pedal, and the Velcro fasteners (first and second types) securely fix the foot to the pedal. This effectively prevents the foot from slipping or becoming unstable on the foot pedal due to weakened muscle strength or poor balance during rehabilitation training, thus ensuring the smooth progress and safety of rehabilitation training.

The invention belongs to the technical field of medical equipment, and particularly discloses plasma operation equipment and a using method thereof, and the plasma operation equipment comprises a host used for generating plasma; the control machine is connected with the host and is used for controlling the host to operate; the resectoscope equipment comprises an inner sheath, an outer sheath, an electrode and a cleaning device, the inner sheath is in a slender rod shape, and a limiting block is connected to the inner sheath in a sliding and sleeving mode. Compared with traditional plasma operation equipment, the mode that the traditional plasma operation equipment depends on a pedal to control cutting parameters is abandoned, and the cutting time, the cutting interval and the cutting current parameters of the main machine are set, regulated and controlled innovatively through the independent control machine; therefore, the medical staff can accurately input parameters on the control machine before the operation according to the operation site, the tissue type and the individual difference of patients, the pedal does not need to be treaded frequently during the operation, the operation steps are effectively reduced, and the probability of operation errors is reduced.

The invention belongs to the technical field of design and manufacture of physiotherapy equipment, and particularly discloses a scalp partition photostimulation system, method and equipment based on a five-transportation-six-qi theory, a medium and a program product. The system comprises an upper computer operation module, a communication module, a main control module, a multi-channel driving circuit and a headgear structure. The technical problems that in the prior art, a five-transportation-six-gas-based head stimulation device cannot be accurately matched with standardized selective logic, and the stimulation mode has skin side effects are solved, and the technical effects that the selective logic is standardized and objective, the target spot is accurate and repeatable, and the safety and the user acceptability are improved are achieved.

The invention discloses a six-degree-of-freedom parallel robot with reverse driving performance, which relates to the technical field of man-machine operation robots, and comprises a base, a plurality of groups of driving assemblies, a first branch chain assembly, a second branch chain assembly, a third branch chain assembly and a movable platform, the first branch chain assembly, the second branch chain assembly and the third branch chain assembly each comprise a first flexible transmission part, a first connecting rod assembly and a second connecting rod assembly, the first connecting rod assembly comprises a transmission plate and a first rod part, and the first connecting rod assembly drives the second connecting rod assembly to move in the first direction; the third branch chain assembly further comprises a third flexible transmission part, a transfer part and a fourth flexible transmission part, the third flexible transmission part is connected with the third driving part and connected to the transfer part, the fourth flexible transmission part is connected with the transfer part and connected to the second connecting rod assembly through a reversing part, and the fourth flexible transmission part drives the second connecting rod assembly to move in the second direction. The second direction is perpendicular to the first direction. Large-angle rotation can be achieved, and the reverse driving performance is good.

1. Name of the designed product: keyboard (AK8066). 2. Use of the designed product: connected with computer, control computer operation. 3. Design points of the designed product: in shape. 4. Picture or photo showing the design points: perspective view 1.

The invention discloses an AI-driven full-scene work transaction intelligent recording and sorting method. The invention discloses a full-scene work affair intelligent recording and sorting method based on artificial intelligence (AI), and aims to solve the problems of information omission, cross-platform data dispersion and low efficiency of manual sorting work caused by multi-task parallelism of a work scene. According to the technical scheme, the method comprises the following steps: data acquisition: monitoring computer operation behaviors (such as window switching and file modification) and voice input (such as conference recording) of a user in real time; and key transaction identification: extracting tasks, decision points and persons in charge from documents and conference contents by using a natural language processing (NLP) technology, and identifying key transactions in combination with a user behavior pattern. And structured arrangement: generating a list to be handled and extracting the conference abstract. And outputting and reminding: automatically generating a work log and pushing a task reminder.

The application provides an intelligent operation and maintenance learning method and system related to monitoring a baseline, and relates to the technical field of computer operation and maintenance. The method comprises: collecting a plurality of core index monitoring data of a target server cluster in a set historical period to obtain a historical monitoring data set; performing time series segmentation processing on the historical monitoring data set to obtain a time series data segment set; performing trend fitting on the time series data segment set by a linear regression algorithm to obtain a corresponding trend fitting straight line; determining a center data point based on the trend fitting straight line, and determining a bidirectional data fluctuation interval according to a residual error analysis result at the center data point. The application realizes dynamic matching of the baseline with the business, full-process automation, precision improvement, and reduction of false and missed reports.