16results about How to "Reduced availability" patented technology

The invention belongs to the field of electric power data fusion, and provides a database fusion matching method and system based on multi-dimensional index correlation analysis, and the technical scheme is as follows: obtaining different types of electric power databases and database tables; extracting metadata information in different types of power databases; according to the database table and the extracted metadata information in the different types of power databases, converting field information of the databases into graph node information, respectively constructing a table entity, an attribute entity and a table-attribute relationship, and generating a relationship graph; respectively extracting local features and global features in the relational graph through a graph convolutional network and a self-attention mechanism on the basis of node attributes in the relational graph and the relation between the nodes, and splicing the local features and the global features to obtain representation vectors of the nodes; based on the representation vectors of the nodes, the Jaccard similarity between each pair of nodes is calculated, the Jaccard similarity is adopted, field matching is achieved through node matching, fusion matching of the database is completed, and the field matching accuracy is improved.

The invention discloses a safety protection system for a cable guide vehicle of a coke dry quenching elevator, relates to the technical field of guide vehicle safety protection, solves the technical problems that in the prior art, the hidden danger protection efficiency of the guide vehicle cannot be detected, and risk management and control cannot be carried out in time, and particularly relates to a guide vehicle track detection unit. The guide rail detection module is used for carrying out guide rail detection on a cable guide, collecting rail detection information, substituting the rail detection information into a formula to obtain a detection coefficient of a guide rail, and comparing and deducing whether the guide rail detection is abnormal or not according to a coefficient threshold; the guide vehicle running analysis unit is used for analyzing the running process of the guide vehicle, collecting bearing running information and wheel running information, and deducing whether the running analysis of the cable guide vehicle is abnormal or not through information comparison; and the protection detection unit is used for detecting and analyzing safety protection measures of the cable guide vehicle, acquiring peak-to-time ratio information and braking information, and analyzing and deducing whether protection detection of the cable guide vehicle is abnormal or not according to the information.

The invention discloses a digital twinning monitoring system for a building environment. The digital twinning monitoring system comprises an environment sensing physical layer, a communication processing twinning layer, an analysis modeling prediction layer and a building environment monitoring application layer. The invention belongs to the technical field of building environment monitoring systems, and particularly relates to a building environment digital twinning monitoring system, which adopts a U-shaped network combined with a convolutional long and short term memory module, performs data classification and hierarchical storage by a multi-task learning data classification method, and improves the overall operation efficiency of the system. A multi-task space-time convolutional network model is adopted to carry out three-way building environment monitoring prediction, so that the overall availability of the system is improved; the building environment digital twinning comprehensive monitoring is adopted, a building environment digital twinning monitoring comprehensive scheme is obtained, an application layer of a digital twinning system is perfected, unification of environment management, space management and personnel safety management is achieved, and feasible technical reference is provided for further optimization of the building environment digital twinning monitoring system.

The present invention discloses a building environment digital twin monitoring system, including an environment perception physical layer, a communication processing twin layer, an analysis modeling prediction layer, and a building environment monitoring application layer. The present invention belongs to the technical field of building environment monitoring systems, specifically a building environment digital twin monitoring system, the present invention adopts a U-shaped network combined with a convolutional long short-term memory module, and performs data classification and hierarchical storage by a multi-task learning data classification method, thereby improving the overall operation efficiency of the system; adopts a multi-task spatiotemporal convolutional network model to perform three-way building environment monitoring prediction, thereby improving the overall availability of the system; adopts a building environment digital twin comprehensive monitoring, obtains a building environment digital twin monitoring comprehensive solution, improves the application layer of the digital twin system, realizes the unification of environmental management, space management, and personnel safety management, and provides a feasible technical reference for further optimization of the building environment digital twin monitoring system.

The present disclosure relates generally to the use of poloxamers in additive manufacturing technologies and techniques. More specifically, the present disclosure relates to the use of poloxamers in selective laser sintering (SLS) processes for additive manufacturing of objects, in particular pharmaceutical dosage forms.

This utility model discloses a modular intelligent narrow-body frequency converter cabinet system, comprising: a narrow-body cabinet with internal module installation space, air inlet, and air outlet; a modular backplane system integrating a main circuit busbar and a control / auxiliary power bus; at least one standard functional module with standardized mechanical and electrical interfaces, pluggably installed in the cabinet and connected to the backplane system for implementing specific power conversion or control functions; and an intelligent thermal management system including a temperature sensor, an adjustable-speed fan, and a fan controller, capable of adjusting the fan speed according to temperature information to control airflow within the cabinet. This utility model, through modular design and intelligent thermal management, achieves high system integration, excellent maintainability, flexible configuration capabilities, and efficient heat dissipation, making it suitable for high-power frequency converter applications in industrial drives, new energy, and other fields.

An aromatic heterocyclic compound, and a pharmaceutical composition and an application thereof. Specifically disclosed are a compound as represented by formula I-A, a stereoisomer thereof, a diastereoisomer thereof, or a pharmaceutically acceptable salt of any one of the described substances, or a crystalline form or a solvate of any one of the described substances. The aromatic heterocyclic compound is novel in structure, and has good CDK7 inhibitory activity and good selectivity.

The invention discloses a fish scale washing device for fish scale glue production, and relates to the technical field of fish scale washing equipment. Comprising a cleaning and separating part, and a fish scale negative pressure sorting part is installed on the cleaning and separating part; the fish scale negative pressure sorting part is used for adsorbing fish scales; a movable scrubbing part is mounted on the cleaning and separating part; the movable brushing part is used for brushing fish scales; a flushing part is mounted on the movable scrubbing part; the flushing part is used for flushing fish scales; a one-way fish scale recovery part is mounted on the movable scrubbing part; according to the fish scale glue, single-piece sorting can be conducted on fish scales, the problem that dirt and bacteria are likely to exist at the attaching positions when the fish scales are cleaned due to the fact that multiple pieces of fish scales are attached in a traditional soaking and cleaning mode is solved, and the quality of the fish scale glue can be improved; the problems that according to an existing fish scale washing device, single scales are inconvenient to sort and wash, bacteria and dirt are prone to occurring at the attached positions of the scales, and the quality of fish scale glue is affected are solved.

The invention discloses a method and a system for supervising internet data processing, and relates to the technical field of internet supervising, the method comprises the steps of flow data capture, data doubt judgment, problem data coping and early warning prompt, real-time supervision is executed on each internet transmission data packet, each doubt data packet is captured, and each doubt data packet is sent to the internet supervising module; the method comprises the following steps: receiving doubt data packets, executing corresponding analysis and reduction on the doubt data packets, judging whether the doubt data packets are malicious data packets, extracting features corresponding to the malicious data packets, judging to obtain malicious types corresponding to the malicious data packets, and analyzing to obtain countermeasures of the malicious types corresponding to the malicious data packets. According to the method, the security of the Internet data in acquisition and transmission is guaranteed, the application security corresponding to the Internet data is reduced, and meanwhile, the data risk is quickly and efficiently found based on judgment on the malicious data packet corresponding to the Internet data, so that timely data security risk measure prevention is realized.

The invention discloses a model training method and device, electronic equipment and a storage medium, and relates to the technical field of model training, and the method comprises the steps: obtaining a plurality of first control signals of a virtual vehicle running in a virtual test scene and a first motion state matched with each first control signal, and taking the first control signals and the first motion state as first test data; an initial model is trained based on the first test data to obtain an initial dynamic model, the initial model is used for analyzing the obtained control signal based on a data driving algorithm to obtain the motion state of a target vehicle, and the target vehicle is a real vehicle corresponding to the virtual vehicle; acquiring a plurality of second control signals of the target vehicle running in the real test scene and a second motion state matched with each second control signal, and taking the second control signals and the second motion state as second test data; and training the initial dynamical model based on the second test data to obtain a target dynamical model. The test data collected in a real test scene required by a training model can be reduced, and the cost of model training is reduced.

The invention relates to the technical field of data processing, in particular to a server log data storage method, a storage medium and a system. According to the method, log data with high importance and irreplaceability are found by determining the access frequency of the log data; determining the time sensitivity of the log data, and mastering the time sensitivity condition of the log data; determining the content sensitivity of the log data so as to find the log data with sensitive content to ensure the security of the sensitive content in the log data; the storage priority of the log data is determined according to the ranking, time sensitivity and content sensitivity of the levels of the log data in the log levels, and the response time of the system is shortened while the storage cost is reduced; and storing the log data based on the storage priority of the log data. According to the method, log data containing sensitive information or needing to be processed in time can be quickly responded, storage resources are reasonably allocated, the storage cost is reduced, and the safety and availability of important log data are ensured.

The invention belongs to the field of data processing, and particularly relates to a gas meter security authentication method based on a national secret algorithm and a related device, and the method comprises the steps that a gas meter obtains a key negotiation file issued by a server; a key management model is adopted, prediction processing is conducted according to the key negotiation file, and a key distribution strategy corresponding to the gas meter is obtained; accessing the ESAM module based on the key distribution strategy, and obtaining a pre-configured encryption file matched with the key distribution strategy in the ESAM module; and executing data encryption in the gas meter by adopting the pre-configured encryption file, and uploading the encrypted gas meter data to a server, so that the server completes decryption of the gas meter data based on a pre-deployed decryption strategy. According to the method, the key updating strategy can be intelligently predicted, so that the data transmission and storage process has high safety and reliability, the flexibility of key management is guaranteed, the communication overhead caused by key updating is reduced, and the overall operation efficiency and safety of a gas meter system are improved.

The invention relates to the technical field of black tea extraction compounds and application thereof, and discloses a black tea extraction compound and application thereof.The black tea extraction compound is prepared by mixing an extraction component A and water according to the mass ratio of 1.5: 702: 7, then transferring the mixture into an ultrasonic extraction device, conducting ultrasonic treatment for 60-120 min at the temperature of 30-60 DEG C and the frequency of 35-65 KHz, extracting to obtain an extraction component B, combining extracting solutions to obtain the extraction component B, and conducting drying to obtain the black tea extraction compound. Carrying out reduced pressure distillation and concentration on the extraction component B under the conditions that the relative density is greater than 0.90, the refractive index is greater than or equal to 1.50 and the acid value is greater than or equal to 3.95 at the temperature of 65 DEG C, the pressure of 110 mbar and the temperature of ethanol cooling liquid of 2 DEG C, then refrigerating the semi-finished product extraction component B for 36-72 hours at the temperature of 4-6 DEG C, putting the refrigerated semi-finished product extraction component B into a centrifugal machine, and carrying out high-speed centrifugation at the rotating speed of 5000-12000 r / min for 10-20 minutes to obtain the extraction component B; the two extracted components are compounded by stages to obtain a compound, and the compound is added into tobacco shreds, or 0.04% of the compound can be added into a preserved meat product, so that grease oxidation in the meat product and generation of substances such as biogenic amine and nitrosamine are inhibited.

The present invention provides a method and system for controlling the distribution of learning tasks, the method comprising: formulating corresponding learning tasks according to the learning progress score of the user; obtaining the usage status information uploaded by the learning terminal; the usage status information includes the resource data, identification information and user identity information corresponding to the learning terminal; generating a task push list for each user according to the usage status information; according to the task push list, pushing the learning tasks to the corresponding learning terminal in order from high to low push levels, until the push is terminated after receiving the response information of the learning terminal. The present invention arranges and generates learning tasks for different students in a targeted manner, improves the learning effect of the user in a personalized manner, and reduces the usability. In addition, when the existing teaching system distributes learning tasks, the learning tasks are pushed according to the priority, which reduces repeated pushes and improves the user experience.

The present invention discloses a streaming mechanical visual field blind spot liveness detection system, including a data acquisition module, a data processing and fusion module, a liveness detection module, a behavior analysis module, a single-stage integrated detection module and an exception handling module. The present invention belongs to the field of visual field blind spot detection technology, specifically a streaming mechanical visual field blind spot liveness detection system, the present invention adopts two task sub-models for single-stage integrated detection, improves the real-time performance of detection by respectively improving the liveness detection and behavior analysis models as sub-models, and performs integrated training to obtain a single-stage integrated detection model; adopts a lightweight visual detection model combined with dilated convolution and adaptive gradient improvement for liveness detection, improves the overall rate and real-time performance of subsequent integrated detection; adopts a fine-grained data efficient image transformer model combined with local selection optimization for behavior analysis, improves the fine-grained degree of the behavior analysis process.

A safety device of an elevator capable of suppressing a decrease in availability of the elevator. A host node (63) monitors whether a traveling speed of a car (42) reaches an excessive speed level based on a signal from an upper reference position switch (45), a signal from a lower reference position switch (46), and information related to a traveling direction of the car (42). As the excessive speed level, a first speed level and a second speed level are set to the host node (63). The second speed level is a lower level than the first speed level. The host node (63) applies the second speed level to upward traveling of the car (42) in a case where an upper communication failure is detected, and applies the second speed level to downward traveling of the car (42) in a case where a lower communication failure is detected.