7 results about "Mixed programming" patented technology

The invention relates to the technical field of intelligent logistics and operation planning optimization, and discloses an import and export multimodal transport intelligent stowage service method based on a hybrid planning algorithm, which comprises the following steps: establishing an intermodal transport node operation impact database and an intermodal transport network diagram, and defining a node stacking operation state set; according to the force transmission attribute of the corner column of the container, the discrete stacking hierarchy is mapped into vertical pre-pressure, and the node working condition inherent frequency of the container-cargo combination is calculated through a pre-pressure and rigidity correlation model; in combination with node pulse dominant frequency data, constructing a response gain index including resonance interval intensity and parameter fluctuation sensitivity; and establishing a multimodal transport stowage optimization model, bringing the index into a target function, and carrying out collaborative solution on a cargo loading layout, a transport link and a node stacking level. Resonance risks caused by discrete stacking and lateral impact coupling can be effectively recognized and avoided, and a stowage scheme with high structural safety is output.

A debugging method and an electronic device relate to the technical field of computers, and dynamically call a debugging interface of a second programming language by registering the debugging interface of the second programming language in a first programming language debugger, thereby obtaining call stack information and variable information of the second programming language, setting breakpoints, modifying variables and the like. In the method, the electronic equipment displays a debugging interface of a debugger adaptive to a first programming language, and loads a service program which is subjected to mixed programming by adopting the first programming language and a second programming language to test equipment. A runtime debugging interface is configured in the runtime matched with the second programming language. During debugging, when a service process runs to a first service code segment obtained by programming of a first programming language, a debugging breakpoint is entered, and the electronic equipment calls a runtime debugging interface through a debugger registered with the runtime debugging interface; and executing debugging processing operation on a second business code segment obtained by programming in the business program loaded by the test equipment by adopting the second programming language.

The invention provides an automatic burning method and system suitable for a laser radar production line. The implementation method comprises the steps of order analysis, power supply configuration, burning configuration, firmware package downloading and function verification. The production line automatic burning system is designed and realized based on the method, is verified and used in a production line, and comprises an upper computer control system, a burner, a burning jig and a programmable power supply, the method has the following advantages that 1, the method is combined with an MES system, the radar model, the hardware version and the firmware package issued by the MES system are automatically mapped, and mixed burning of a production line is achieved; 2, the replicability is high, convenience is provided for copying of a production line, the integration level is high, a downward compatible mechanism facing full automation and semi-automation is realized, and a foundation is laid for automatic upgrading of a subsequent production line; 3, a read-back-function verification-closed loop mechanism is adopted, key information read-back is performed on each radar, and meanwhile, through dual verification of chip self-weight starting and power supply external restarting, the reliability of the system is improved; the method has the advantages of being simple in structure, convenient to operate and capable of executing relevant functions to conduct good detection on radar key chips, preventing non-benign radars from flowing into follow-up stations, indirectly reducing production cost, recording burning information of the key chips, and achieving traceability of the radars in the whole life cycle.

The application relates to the technical field of intelligent production scheduling, and discloses a multi-target intelligent production scheduling method combining AI inventory prediction and hybrid programming. The method first standardizes and integrates multi-source data such as enterprise digital factories and warehouses, and constructs a unified production scheduling database; then a linear programming model is established with the target of maximizing profits, and product production quota optimization is completed in combination with constraints such as production capacity and raw materials; based on a switching cost matrix and production constraints, the lowest cost production sequence is solved through dynamic programming; an AI inventory prediction model is constructed by using a random forest regression, and safe inventory calculation and inventory risk grading early warning are realized; finally, multi-target production scheduling is executed according to the multi-level dynamic adjustment principle, and complete schemes such as hour-level plans, Gantt charts, cost and profit, and inventory curves are output. The application can simultaneously optimize production profit, switching cost, demand satisfaction rate and inventory safety, realize active inventory prediction, effectively reduce production loss caused by material interruption and single insertion, and improve the scientific nature of production scheduling and enterprise operation benefits.

The invention discloses a data processing method and device, an intelligent calculation platform, a storage medium and a product. The method comprises the steps that in response to a request of an operator calculation task, a second API of an operator under a unified programming normal form or a third API of an operator under a native programming normal form supported by processing equipment is called based on a first API; and generating a calculation result corresponding to the operator calculation task based on the second API or the third API. Therefore, operator calling under the hybrid programming normal form can be realized based on the unified first API, so that the operation performance of operators can be effectively improved based on operator calling under the hybrid programming normal form on the basis of considering the universality of AI chips of different types of native programming normal forms, and the user experience is further improved.

The application discloses a provincial power grid day-ahead plan hierarchical progressive optimization method containing multiple pumped storage power stations, which comprises the following steps: obtaining basic data of a power system; establishing a power system day-ahead plan optimization model containing multiple pumped storage power stations; calculating day-ahead plan output values of wind, light and conventional units; further calculating start-stop plan of each pumped storage unit according to the plan output values; and finally obtaining day-ahead output plan values of each unit by solving the pumped storage start-stop plan. The application can overcome the difficulty in convergence when the scale of integer problems and linear programming problems is large even if mature optimization solvers such as CPLEX and GLPK are used, make large-scale integer linear mixed programming problems converge better, meet the online application requirements of day-ahead plan making, and have important practical significance for fully utilizing new energy and efficiently operating pumped storage power stations.

The invention discloses a multi-target dynamic production and assembly integrated scheduling method, and belongs to the technical field of production scheduling, and the method comprises the following steps: obtaining the processing and assembly information of a multi-product simultaneous generation process; based on the processing and assembling information of the multi-product simultaneous generation process, constructing a multi-product production and assembling linkage hybrid planning model; and solving the multi-product production and assembly linkage hybrid planning model based on a co-evolution algorithm to obtain a multi-product cross-workshop production and assembly coordinated processing hour-level scheduling scheme. According to the method, a cross-workshop integrated scheduling strategy is adopted, and through dynamic collaborative optimization of production and assembly, the overall production period is shortened, and the resource utilization rate is increased; the provided task network can explicitly express the dependency relationship between the part machining path and the assembly process, and the feasibility of a scheduling scheme is ensured.