6results about How to "Improve calling efficiency" patented technology

The invention discloses an intelligent service system based on an AI large model application program interface and a calling method of the intelligent service system. An intelligent service unified application layer receives a user request through a standardized service interface, generates a model calling request and a session / dialogue task and issues the model calling request and the session / dialogue task; the intelligent service unified processing layer obtains configuration data, determines a target AI large model interface with the lowest calling cost according to the configuration data and the model calling request, and sends a session / dialogue task to a target AI large model platform through the target AI large model interface; the session / dialogue data returned by the target AI large model platform is sent to the intelligent service unified storage layer; and the intelligent service unified storage layer is used for storing configuration data, session / dialogue data and log data of the intelligent service unified processing layer and the intelligent service unified application layer. The AI large model platform calling efficiency is improved, the AI large model platform calling cost is reduced, and the method can be applied to the technical field of artificial intelligence.

The invention discloses an interface calling method and device, equipment and a storage medium, relates to the technical field of computers, is applied to a first process, and comprises the following steps: obtaining an interface calling request sent by a second process; the interface calling request carries first information; according to the first information, reading corresponding target data from the shared memory, and determining a corresponding data processing mode; processing the target data according to the data processing mode, and writing an interface calling result obtained after processing into a shared memory; and sending second information corresponding to the interface calling result to a second process, so that the second process reads the interface calling result from the shared memory according to the second information. According to the method and the device, the shared memory for multi-process access is created in advance, the shared memory can store data, such as an interface calling result, with a relatively large data size generated during real-time interface calling, so that the time consumption of cross-process interface calling can be optimized, and the efficiency of cross-process interface calling is improved.

This application discloses a data transmission method, apparatus, device, storage medium, and program product, applied in the field of big data processing. The method includes: receiving a first data acquisition request sent by a first client; determining first data parameters based on the first data acquisition request; generating multiple second data acquisition requests based on the first data parameters, and sending each second data acquisition request to a second client; and sending the received second data to the first client each time second data is received from the second client based on the second data acquisition request. In this application, the data transmission apparatus generates multiple second data requests to acquire portions of the first data based on the first data request of the first data acquired by a responsive service, thereby sending a portion of the first data to the responsive service first, enabling the responsive service to transmit the data to the caller, thus improving data retrieval efficiency.

The embodiment of the invention provides a calling method and device for standard part resources in industrial design software, computer equipment and a medium, and the method comprises the steps: receiving a matching condition input by a user on a design software platform, screening out a standard part three-dimensional model meeting the matching condition according to the matching condition, and storing the standard part three-dimensional model in the design software platform; taking the model as a candidate standard component three-dimensional model; selecting an adaptive standard component three-dimensional model from the candidate standard component three-dimensional models according to actual installation requirements as a target standard component three-dimensional model; recommending a matched standard component three-dimensional model according to the target standard component three-dimensional model; and calling the target standard component three-dimensional model and the matched standard component three-dimensional model for installation, and displaying attribute information on the target standard component three-dimensional model and the matched standard component three-dimensional model. According to the scheme, the design process is optimized through standard part full-life-cycle tracing and global consistency management, and the standard part calling and assembling time is shortened.

The application discloses a kind of coal mine multi-source data gathering management method and platform, it is related to coal mine data processing technical field, platform uses five progressive type architecture of sensing layer-edge layer-transmission layer-platform layer-application layer, method covers multi-source heterogeneous data acquisition and edge integrated processing, double-ring redundant low-delay transmission, data depth management, Kafka priority subscription distribution, whole-service collaborative control feedback whole process, by multi-protocol adaptation, 3 sigma criterion+linear interpolation data cleaning, hierarchical fusion intelligent labeling, hierarchical directional distribution and closed-loop feedback etc. Technology, solve coal mine multi-protocol access adaptation, data efficient flow, high-quality management and whole-service collaborative control industry problem.The application greatly improves data acquisition, flow, management efficiency and reliability, realizes coal mine whole-service data intercommunication and collaborative control, reduces the incidence of safety accidents, improves production and operation efficiency.

The application discloses an image recognition method, product, equipment and medium based on data multiplexing, and is applied to an image recognition circuit comprising multiple sets of recognition sub-circuits; comprising: storing initial image data of an original image to be recognized in a preset global cache; controlling a convolution window of an image recognition CNN to slide in the initial image data; each recognition sub-circuit corresponds to a different convolution window, and comprises a selector, a data register and a memristor array; the selector is used for acquiring non-multiplexed and multiplexed target data from the preset global cache and a data register corresponding to a previous convolution window respectively; the target data is stored in the data register as convolution data to be convolved of a current convolution window, the convolution data to be convolved is processed by the memristor array to obtain a convolution result of the current convolution window; and a feature map of the original image to be recognized is generated according to the convolution results of the convolution windows to perform image recognition. Transmission delay and hardware power consumption in the image recognition process are reduced.