242results about How to "Guaranteed availability" patented technology

The invention discloses a terrain-level real-scene three-dimensional entity and element dynamic updating method, which comprises the following steps: S1, data acquisition and preprocessing: acquiring data of a target area by an acquisition mechanism based on entity and element type priorities, and preprocessing the acquired data to obtain model data of the target area; s2, change detection: comparing newly collected model data with historical model data, and identifying a change region and type; s3, entities and elements are extracted and updated, wherein the entities and the elements of the change area are processed to obtain updated models; s4, model fusion and optimization: fusing the updated entity and element model with the original model, and realizing efficient acquisition and preprocessing of target area data by using the multi-source surveying and mapping equipment and an acquisition mechanism based on entity and element type priorities; by dividing the small regions according to the region characteristics and correcting the acquisition frequency, the resource allocation is optimized, and the pertinence and efficiency of data acquisition are improved.

The invention discloses a disaster emergency rescue command system and method, and relates to the technical field of rescue command systems. Comprising an information collection module which collects information, including disaster situations, personnel distribution and environmental conditions, of a disaster site through sensors and communication equipment; the collected information is input into the system, so that accurate disaster assessment can be conveniently obtained; the decision support module determines optimal allocation of rescue resources by using a linear programming model according to disaster assessment provided by the information collection module, and plans a rescue path by using a graph theory algorithm; and the command control module is used for converting the rescue decision of the decision support module into a specific rescue instruction. According to the system, the disaster assessment time can be shortened through real-time monitoring and rapid data processing, and the rescue decision-making speed is increased; optimal configuration of resources is realized through an algorithm, resource waste is avoided, and resource availability at a critical moment is ensured.

The invention discloses a self-adaptive data caching and synchronizing method, system and device for an edge gateway of the Internet of Things and a storage medium, and the method comprises the steps: obtaining network quality parameters, such as link bandwidth, time delay and packet loss rate, between nodes, detecting and solving instruction conflicts based on a vector clock mechanism, generating an instruction execution sequence, and carrying out the self-adaptive data caching and synchronizing of the edge gateway of the Internet of Things; local caching and incremental synchronization strategies are adopted for hotspot data, a data access mode is dynamically predicted in combination with a machine learning algorithm, and a cache updating period is optimized. The future data is predicted according to the data characteristics of the Internet of Things application, and the data cache updating period of each node is dynamically adjusted, so that each node can keep a relatively consistent updating rhythm when caching a hotspot data copy; therefore, the hot spot data copies of different nodes can be ensured to have similar accuracy and timeliness at the same time point, so that the data consistency is maintained.

The invention discloses a data storage system of a digital country based on cloud computing, which comprises a client, a data transmission module and a cloud computing center, relates to the technical field of data storage, stores hot data on a high-performance hot data storage layer, ensures that frequently accessed data can be quickly responded, improves the system performance, and at the same time, stores the hot data on a high-performance hot data storage layer. The cold data is stored in a low-performance cold data storage layer, the storage cost is reduced, effective balance of performance and cost is achieved, the data is automatically migrated among different storage layers along with change of data access frequency, so that the performance and the cost are balanced, the frequently accessed data is migrated into a cache, the access speed of the data is increased, and the data access efficiency is improved. And establishing a relationship between a time interval and a data type of historical data, predicting data which are possibly accessed in a given time interval, adding the data into the cache, dynamically adjusting the cache, and ensuring the validity of the cache.

The invention relates to an ECG anomaly detection method based on AE-GAN, and belongs to the field of artificial intelligence. According to the method, AE-GAN is constructed and trained for ECG anomaly detection, and a training network model is divided into an encoder training stage, the AE-GAN is only trained on a normal ECG sample, and an encoder, a generator and a discriminator are optimized by using confrontation loss and reconstruction loss; the encoder includes a channel attention module and a memory module. In a classifier training and detection stage, the AE-GAN extracts low-dimensional features from a real sample by using a trained encoder, adds weak random Gaussian noise to generate a pseudo normal sample, and adds strong random Gaussian noise to generate a pseudo abnormal sample; the classifier is trained by using a binary cross entropy loss function so as to distinguish normal samples from pseudo abnormal samples; during testing, the trained classifier uses features extracted by the encoder to detect whether data is abnormal or not.

The embodiment of the invention provides a file receiving and reorganizing method and device, equipment and a storage medium. The method comprises the following steps: acquiring archive data, identifying, analyzing and uniformly formatting the archive data, screening the archive data according to a preset rule, and acquiring preprocessed archive data; and extracting metadata in the preprocessed archive data, matching the metadata with a metadata template in the format library, and storing the preprocessed archive data in a reorganization library if no metadata is missing in the preprocessed archive data. And performing four-property detection on the reorganized archive data in the reorganized library. If the reorganized archive data passes the four-property detection, the reorganized archive data is stored in an archive library through distributed storage, and if the reorganized archive data does not pass the four-property detection, the position of an error in the reorganized archive data is recorded, and a repair suggestion is provided. In this way, the efficiency and quality of archive reorganization can be improved.

The invention relates to the technical field of data management methods, in particular to a bid inviting data management method and system based on a block chain. According to the technical scheme, the system comprises a data storage module, a network communication module, an intelligent contract module, a user interface module and a data backup and recovery module. Through a block chain distributed account book technology and an asymmetric encryption algorithm, data integrity, authenticity, confidentiality and security are improved, and data are prevented from being stolen or tampered; the bid invitation data management system based on the block chain enables the bid invitation data to be traced by authorized parties, and the transparency and fairness of the bid invitation process are improved; meanwhile, automatic execution of a bid invitation process is realized through an intelligent contract, efficiency and fairness are improved, transaction cost and risk are reduced, transparency and credibility of the bid invitation process are enhanced, and availability and integrity of bid invitation data and stable operation of a block chain network are ensured and Byzantine node risk is resisted based on a P2P network architecture and a PBFT algorithm.

The invention belongs to the technical field of power system data analysis, and relates to a power utilization habit-based power utilization abnormal behavior real-time analysis method and system, and the method comprises the steps: obtaining a historical power utilization data sample of a charging pile user, and carrying out the calculation to obtain a power utilization behavior habit interval; acquiring real-time power consumption data of the charging pile user according to a preset period, judging whether the real-time power consumption data is in the power consumption behavior habit interval, and if so, not giving an alarm; otherwise, giving an alarm; the advantages of wide coverage, high timeliness and high accuracy of power data are utilized, and the power utilization habit of the user is obtained through data analysis. Real-time power utilization data and historical power utilization habits are compared, abnormal power utilization behaviors are recognized, abnormal power utilization alarms are given out, and a charging pile operator is assisted in effective management, prevention and control; maintenance and upgrade plans of the charging piles are reasonably arranged, and usability of the charging piles is ensured. An electric power company can adjust an electric power supply strategy in advance, optimizes a power grid load, and avoids overlarge power grid pressure caused by a charging peak.

The invention discloses a touch response method and device based on a vehicle-mounted display screen and electronic equipment, and relates to the field of data processing. In the method, a touch signal on the surface of a vehicle-mounted display screen is obtained, and the touch signal comprises an initial touch position, a touch track and touch duration; based on the initial touch position and the touch duration, judging whether the touch signal is a mistaken touch operation or not; if it is determined that the touch signal is not the mistaken touch operation, feature extraction is conducted on the touch track to obtain a track feature vector, and the track feature vector comprises the track length, the track curvature and the track direction; inputting the track feature vector into a preset gesture recognition model, and recognizing a corresponding touch gesture; according to the touch gesture, determining a touch response area in combination with interface display information of the vehicle-mounted display screen; and in the touch response area, generating a touch response event according to a preset interaction rule, and displaying the touch response event on the vehicle-mounted display screen. By implementing the technical scheme provided by the invention, the user experience is improved.

The invention discloses an infrared image deblurring method and system for an unmanned aerial vehicle platform, and the method comprises the steps: shooting a clear image set and a motion video of a target region through an unmanned aerial vehicle, and obtaining gyroscope information during the shooting of the motion video by the unmanned aerial vehicle; according to the gyroscope information, combining with the residual error connection network structure model to obtain a pixel distribution intensity graph; obtaining scene ambiguity information according to the motion video; obtaining a first data set according to the clear image set and the scene ambiguity information; obtaining a training set and a verification set according to the first data set and the pixel distribution intensity graph; training the first model according to the training set to obtain a second model set; the first model comprises a multi-scale encoder-decoder network model used for removing image blurring; and first indexes of all second models are calculated according to the verification set and the second model set, and the second model with the maximum first index result is selected to perform unmanned aerial vehicle real-time infrared image deblurring.

The embodiment of the invention provides a model conversion method, a related device and a medium. According to the method, a model conversion mirror image is deployed to a node where a target chip is located, and an original model is converted into a target model corresponding to the target chip through the model conversion mirror image. And then the original model before conversion and the target model after conversion are verified through the original model verification mirror image and the target model verification mirror image respectively, a conversion deviation value capable of judging the model conversion effect is obtained according to the first verification result and the second verification result, and automatic verification of the target model after conversion is achieved. And based on the verification result (conversion deviation value), constructing a mirror image for the target model meeting the requirement, and storing the mirror image in a mirror image warehouse for subsequent calling. The embodiment of the invention aims to ensure the availability of the converted model. The embodiment of the invention can be applied to scenes of computer vision, natural language processing, voice recognition, automatic driving, edge calculation and the like.

The invention relates to the technical field of data processing systems for supervision or prediction, in particular to a road and bridge deck sudden collapse early warning system and method based on the Internet of Things, and the system comprises a deformation monitoring system which is used for collecting the deformation data of a road and bridge deck; the data processing system is used for processing the deformation data based on the Internet of Things so as to obtain effective data meeting a preset storage condition; and the early warning management center is used for inputting the effective data into a pre-constructed road and bridge surface collapse risk prediction model to obtain a risk assessment result and a trend prediction result of the road and bridge surface so as to carry out early warning on sudden collapse of the road and bridge surface. Therefore, the problems of low data precision, poor credibility, early warning information delay, increased safety risk and the like caused by the fact that an early warning system only depends on a single technology, is easily influenced by environmental factors and cannot comprehensively capture various abnormal signals which may predict collapse in related technologies are solved.

The embodiment of the invention provides an emergency plan drilling platform, an emergency plan drilling method, an emergency plan drilling device, equipment and a storage medium. The emergency plan drilling platform comprises an emergency plan task module used for obtaining a target emergency plan and a historical data analysis result, and optimizing an emergency plan task corresponding to the target emergency plan according to the historical data analysis result; the fault triggering module is used for determining a plurality of fault scenes based on the emergency plan task and performing fault injection based on the plurality of fault scenes; the plan drilling module is used for responding to completion of fault injection in a plurality of fault scenes, triggering a plan scene from the fault scenes, and drilling a target emergency plan in the plan scene; and the recovery verification module is used for monitoring the execution information of the target emergency plan in real time, and verifying the availability of the target emergency plan based on the execution information in response to the completion of the drilling of the target emergency plan. The invention aims at improving the execution efficiency of the emergency plan and verifying the effectiveness of the emergency plan through the emergency plan drilling platform.

The invention discloses a supplier quality evaluation method, and relates to the technical field of data quality analysis, and the method comprises the steps: obtaining a data initial quality evaluation label of each supplier; counting an uploaded information quality processing comprehensive data quality evaluation value of each type of suppliers; determining an initial quality detection constraint period of each type of suppliers and performing quality tracking detection; obtaining quality tracking detection data, and analyzing and processing to obtain a quality tracking monitoring result; according to the method, the data quality of the data uploaded by the suppliers is analyzed, the availability of the quality evaluation data is ensured, the suppliers whose initial quality evaluation is unqualified are screened, and the quality of the suppliers is evaluated to be qualified. Quality evaluation resources are concentrated on suppliers whose initial quality evaluation is qualified, customized quality tracking detection is carried out on each type of suppliers, the quality tracking detection efficiency and result are improved, and the quality detection constraint period is dynamically adjusted in time.

The invention discloses a Region-level remote disaster recovery method, system and device based on a Paas cloud platform and a medium, in the Paas cloud platform, a WAN optimization technology is adopted, and a data compression algorithm, an acceleration algorithm and a cache algorithm are adopted, so that the data transmission time delay and network congestion are reduced, and the data synchronization efficiency and speed are improved; a remote multi-activity technology is introduced, so that the main data center and the backup data center simultaneously provide services to the outside, high availability and disaster tolerance of services are ensured, the main data center is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is realized; a load balancing mechanism and a fault switching mechanism are adopted, the flow is automatically switched to the backup data center when the main data center breaks down, and rapid fault switching is achieved. By adopting the WAN optimization technology, the time and delay of cross-geographic-position data synchronization are reduced, and the reliability and real-time performance of data synchronization are ensured.

The invention discloses a data storage method and system for a storage chip, and the method comprises the steps: selecting reference data and sample data from target storage data, and carrying out the analysis, and obtaining a data similarity value; the data similarity value is compared with a data similarity threshold value, and if the data similarity value is larger than or equal to the data similarity threshold value, the reference data and the sample data are classified into the same classification data set; obtaining a residual storage space, judging whether the residual storage space is smaller than a residual storage space threshold value or not, and if yes, analyzing data in the classified data set to obtain a data set key value; identifying the non-key data group to generate a compression optimization signal; based on the compression optimization signal, judging whether the residual storage space of the system is smaller than a residual storage space threshold after compression processing, and if yes, analyzing the non-high access frequency data to obtain a compression priority value; and performing optimization compression on the non-high access frequency data according to the compression priority value.

The invention discloses an automobile emergency starting power supply heating method for ultralow-temperature discharging and related equipment, and relates to the technical field of model computation.The method comprises the steps that current vehicle data, battery data, environment data and use mode data are obtained, a probability prediction model is input, and the starting probability is evaluated; the target temperature is calculated according to the environment temperature trend and the normal battery working temperature, and finally the heating strategy is formulated according to the electric quantity condition, so that accurate temperature prediction and intelligent heating control can be performed on the automobile emergency starting power supply in the low-temperature environment, unnecessary energy consumption can be greatly reduced, and the energy consumption is reduced. According to the method, accurate and efficient emergency power supply heating in a low-temperature environment is realized, the influence of heating on electric quantity is effectively reduced, and the availability of an emergency starting function is ensured.

The invention relates to the technical field of dehumidification, in particular to dehumidification equipment, and solves the problems that the dehumidification efficiency of an evaporator is not high and the dehumidification can only be carried out in a single condensation and dehumidification mode due to the fact that condensed water drops on the surface of the evaporator cannot be effectively removed by existing dehumidification equipment in a pharmaceutical and chemical production workshop. According to the technical scheme, the device comprises a device shell, an air inlet fan, an air inlet pipe, an evaporation box, an air outlet pipe, an evaporator, a sliding strip, scraping sponge, an abutting plate, a push rod, a telescopic piece, a driving plate, an air outlet and a drying filter element, a first driving assembly is arranged on the push rod, and clamping columns clamped with the drying filter element are slidably connected to the two sides of the device shell; a second driving assembly is arranged on the clamping column. According to the equipment, condensation dehumidification and adsorption dehumidification can be combined for use, condensed water drops on the surface of the evaporator in the condensation dehumidification process can be removed, a drying filter element in the adsorption dehumidification process can be conveniently replaced, and the dehumidification effect and efficiency are effectively improved.

The invention relates to a desensitization method, system, equipment and medium for industrial data, and the method comprises the steps: building and dynamically maintaining an industrial field standard data variable rule table, and defining a desensitization strategy and a sensitivity level matched with specific industrial variables such as temperature, rotating speed and the like in physical meanings, time scenes and node levels of the specific industrial variables; the method comprises the following steps: adding a multi-dimensional identifier to original industrial data, establishing a six-dimensional binding relation model of data variable type-time dimension-node hierarchy-cluster role-sensitive level-rule entry, driving the data to execute a time-coordinated stepped desensitization process in four node hierarchies of a workshop, an enterprise, a park and a cluster, according to the method, refined access control and data decryption fusing time, space and role dimensions are realized according to the model and a full-link tracing log, and the problems that rules and industrial scenes are disjointed, dynamic time adjustment is lacked, cross-node collaboration is insufficient and authority control coarse granularity is caused in the prior art are effectively solved.

The invention discloses an automobile OTA software Reset method based on an online mode, comprising an OTA management platform, a TSP platform, a TSP client, an OTA Master, an OTA Sub Master and an HMI, the OTA management platform interacts with the TSP platform through an API mode to actively send an instruction from a cloud end to an automobile end, the TSP platform is mainly used for pushing information from the cloud end to a specified automobile in an OTA scene, the TSP client is a TSP component in the automobile, and the OTA Master, the OTA Sub Master and the HMI are connected with the OTA management platform. The OTA Master is used for receiving a push instruction of a TSP platform, the OTA Master interacts with a vehicle owner through interaction with the HMI module, and the OTA Sub Master is used for receiving scheduling of the OTA Master and is responsible for executing specific functions such as flashing a certain part. The problems that when components of an OTA automobile end have problems, especially the problems of endless loop and software infinite restart, the generated influence is possibly disastrous and can only be solved in an offline recall mode, the cost is increased, and meanwhile the trustworthiness of consumers to brands is reduced are solved.

The invention discloses an ATO braking fault detecting and processing method. The method comprises the steps that S1, a VOBC monitors the acceleration of a train; s2, the VOBC monitors an ATO control instruction and checks whether a potential fault occurs in an ATO train control channel or not; s3, after the VOBC judges that the potential ATO braking fault exists, the VOBC switches an ATO train control channel; s4, after the VOBC judges that the potential ATO brake fault exists, whether the VOBC needs to apply emergency brake stopping or not is judged; s5, the VOBC monitors the acceleration of the train during emergency braking; s6, the VOBC judges whether an ATO braking fault occurs or not during emergency braking; and S7, when the VOBC judges that the ATO braking non-response fault occurs, the VOBC judges the number of times of detecting the ATO braking fault, and the train is returned to the warehouse for maintenance. The problem of train overshoot caused by the braking response problem is solved.

The invention provides a mass data access control method for self-adaptive data access rate control, which comprises the following steps of: setting system parameters such as an initial data access rate, a performance threshold value and a monitoring period, and acquiring key indexes in real time in an access channel; processing the collected key indexes in real time, and storing the key indexes in a distributed database; calculating performance indexes such as processing capability and resource utilization rate of the current system based on the key indexes; the real-time performance indexes are analyzed through distributed calculation, and the current state of the system is evaluated; the real-time performance index analysis result is compared with a preset performance threshold value, and whether the data access rate needs to be adjusted or not is judged; and dynamically adjusting the data access rate to be matched with the real-time performance index according to a comparison result. According to the method, the limitation of a traditional data access mode is effectively solved, the access rate is dynamically adjusted so as to adapt to continuously changing network environments and service requirements, and the flexibility and adaptability of the system are remarkably improved.

The invention discloses a PTA chain plate operation prompting and central control current monitoring safe operation device, and relates to the technical field of PTA chain plate operation optimization, and the device comprises a field operation indication unit which is used for constructing a chain plate operation situation model based on a composite signal of a chain plate frequency converter and a start-stop switch, outputting a chain plate operation state control instruction, and outputting a central control current control instruction; a chain plate operation state indication is generated through an anti-explosion flickering alarm indicating lamp; the signal conversion and transmission unit is used for acquiring chain plate operation current data according to the current signal of the horizontal section chain plate frequency converter, and transmitting a standardized current signal through a DCS (Distributed Control System) port; and the central control dynamic monitoring unit is used for calculating a current anomaly measurement index based on the standardized current signal, and establishing a multi-stage alarm triggering mechanism of the real-time running current trend of the chain plate by using a dynamic early warning threshold system. According to the invention, abnormal running of the chain plate can be found in time, and the running safety and reliability of the PTA chain plate are improved.

The invention relates to the technical field of power plant network access, and discloses a PCFT security framework-based new energy power plant network access security protection system, which comprises a security partition system, a firewall and logic isolation system, an encryption and authentication system, a PCFT security framework, an intrusion detection and host equipment reinforcement system and a security management platform, the security partition system is in communication connection with the firewall and logic isolation system, the firewall and logic isolation system is in communication connection with the encryption and authentication system, and the encryption and authentication system is in communication connection with the PCFT security framework. Therefore, the process of manually processing each resource access control is simplified, the PCFT security framework is used, the security of the system can be effectively improved, security vulnerabilities are reduced, the security management process is simplified, the availability, integrity and confidentiality of the system are ensured, and data are prevented from being modified or disclosed without authorization.

The invention discloses an asymmetric encryption electronic signature authentication system based on a block chain, and relates to the technical field of electronic signature authentication systems, and the technical scheme is that the system comprises a key management module, the connection end of the key management module is provided with an electronic signature generation module, and the connection end of the electronic signature generation module is provided with an electronic signature signing module. The connection end of the electronic signature module is provided with an electronic signature verification module, the connection end of the electronic signature verification module is provided with a block chain storage and synchronization module, and the connection end of the block chain storage and synchronization module is provided with a user interface and authority management module. The high security and tampering resistance of data in the transmission and storage process are ensured, and the authenticity and integrity of the electronic signature are ensured by using the asymmetric encryption technology, so that the two signing parties can confirm the identity of the opposite party and prevent the signature from being forged or tampered, and the working efficiency is improved.

The invention discloses a method for transmitting keyboard and mouse events by a remote desktop application in a Wayland environment, which comprises the following steps that: a remote desktop application server in a local computer receives mouse and keyboard events sent by a remote desktop application client in a remote computer, and sends the mouse and keyboard events to XWayland through an X11 control key and mouse protocol; keyboard and mouse events and mouse and keyboard states are transmitted between the XWayland and the Wayland synthesizer based on a Wayland extension protocol, and the mouse and keyboard events are sent to the Wayland application. The invention aims to solve the problem that the remote desktop application transmits the keyboard and mouse event to the Wayland application in the Wayland environment, and the remote desktop availability of the Wayland application is ensured.

The invention relates to a target object display method, system and device and a storage medium, and the method comprises the steps: collecting an infrared radiation signal of a target object outside a vehicle through an optical module, enabling the infrared radiation signal not to be affected by weather and visibility, guaranteeing the availability of the infrared radiation signal, carrying out the signal amplification and modulation processing of the infrared radiation signal, and achieving the display of the target object. The method comprises the steps of obtaining a target infrared light signal, calculating and analyzing the target infrared light signal based on a photon neural network to obtain an infrared light processing signal, performing signal conversion processing on the infrared light processing signal to obtain an infrared image electric signal, and displaying an infrared image of a target object in a display unit in a vehicle based on the infrared image electric signal. According to the method, the light signal is directly processed, and the processed infrared light processing signal is converted into the infrared image electric signal, so that the target object can be accurately identified, the infrared image of the target object can be displayed on the display unit, and the safety in the driving process is improved.

The invention discloses a method for generating a model chart and a related product. The method comprises the following steps: segmenting a human body area and a clothes area based on an original image, wherein the human body area is not covered by clothes; extracting clothing edge features, human body edge features and human body posture features based on the original image; taking the human body edge features as boundary conditions, and performing pixel information reconstruction conforming to the human body posture features on the human body region; and taking the clothing edge features as boundary conditions, and reserving pixel information of the clothing area to obtain a target model chart. Through the method disclosed by the embodiment of the invention, the boundary during pixel reconstruction can be limited by utilizing the human body edge features and the clothing edge features obtained by segmentation, and the pixel information reconstruction process is guided by utilizing the human body posture features obtained by identification, so that the risk of clothing deformation and distortion of the model chart is reduced, and the availability rate of the generated model chart is guaranteed.

The invention discloses a method and a device for setting interface calling timeout time, and relates to the technical field of computers. According to one specific embodiment, the method comprises the steps that in response to a request for setting interface calling timeout, interface calling related information of all registered services is obtained from a service registration center, and the interface calling related information comprises interface calling statistical data and a timeout configuration strategy; calculating target timeout time of each service according to the interface calling statistical data of each service and a timeout time configuration strategy; and setting the interface calling timeout time of each service registered in the service registration center according to the target timeout time of each service. According to the embodiment, reasonable and accurate calculation and simple and convenient configuration of the interface calling timeout time are realized, so that the service availability is ensured, and the stability of a service system is improved.