8 results about "Process type" patented technology

Systems, methods, and other embodiments associated with a process optimizer are described. In one embodiment, a method includes executing an optimization by inputting, into a trained machine learning model, a candidate process template includes a candidate sequence of tasks to be executed for completing a process type. The machine learning model may evaluate the candidate sequence of tasks including assigned task parameters for executing the process type based on at least learned internalized patterns. The machine learning model may predict one or more delays associated with the candidate sequence of tasks based on similar properties as in the internalized patterns. An optimized sequence of tasks for the candidate process template may be generated by changing an order of the candidate sequence of tasks and changing one or more of the assigned task parameters to reduce the one or more predicted delays.

The invention discloses a method, a device and equipment for determining a repeated process of a process type program and a medium, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining a program file directory of a to-be-detected program file, and determining a to-be-detected program sub-file corresponding to the to-be-detected program file based on the program file directory; screening the to-be-detected program sub-file based on a preset file type to obtain a target program sub-file, and determining a target matching mode corresponding to the target program sub-file in a preset matching mode set based on a basic file extension name of the target program sub-file; and determining a target program line in the target program sub-file based on the target matching mode, and performing repeatability detection on the target program line based on the historical identification array to generate a detection result. By means of the technical scheme, the repeated process in the process type program can be detected, and the accuracy of the process type program is improved.

The invention discloses a process approval node pushing method, which comprises the following steps of: creating a process form, selecting a corresponding process form template in a process form template library according to a process type, and creating a process form matched with the process type; docking a dictionary management system, filling in process form data, and docking a preset dictionary management system through a process completion calling interface when the current business process is completed; approving the flow form, newly adding the flow form in the dictionary management system and performing approval, and if the flow form passes the approval, docking a downstream system; returning the approval information; and pushing the approval information, and pushing the process approval information to the dictionary management system and the downstream system after passing back the approval. According to the method, the automation level of data synchronization is improved, related information is synchronously pushed, timely updating and processing of data between an upstream system and a downstream system are ensured, the working procedure of a process form is simplified, the burden of a user during form filling is reduced, and the user experience is improved.

The invention discloses a process monitoring method and device, and belongs to the technical field of intelligent driving. One specific embodiment of the method comprises the following steps: monitoring resource index data used in operation of a plurality of processes in the intelligent cabin system; under the condition that the monitoring result indicates that any resource index data exceeds the corresponding set resource threshold value, determining a target process corresponding to the resource index data exceeding the set resource threshold value; calling a process processing strategy corresponding to the process type of the target process, and managing the target process; according to the embodiment of the invention, the corresponding process processing strategies are executed for different types of processes by identifying the process types; the process monitoring and management refinement degree and flexibility are improved, so that the stability and reliability of the intelligent cabin system are improved, and the vehicle using experience of passengers is improved.

The embodiment of the invention discloses a safety protection method of an application program and a related product. The method comprises the steps that in response to a starting instruction of an application program, permission configuration information of the application program is obtained from a cloud end, and the permission configuration information comprises a preset process type with limited permission and a permission reduction strategy corresponding to the preset process type; starting the application program, and determining the type of the process based on the command line parameter of the process of the application program in the running process of the application program; and if the type of the process is the preset process type, performing weight reduction processing on the process based on the weight reduction strategy. Therefore, by constructing a set of process-level down-right sandbox environment compatible with the MacOS system sandbox, the threshold for initiating attacks by utilizing vulnerabilities is effectively increased, and the security protection of the application program is realized.

The invention provides an equipment process intelligent scheduling method and system based on workflow and signal driving, and belongs to the technical field of industrial software and process control. Generating an equipment scheduling instruction containing the target equipment identifier, the process type and the process parameters; analyzing the instruction and judging the real-time availability of the equipment, if the equipment is available, issuing a control instruction and suspending a process instance to a state of waiting for task completion, and if the equipment is not available, adding the task into a priority waiting queue and suspending the process instance to a state of waiting for an equipment available signal; when the equipment is available due to the completion of the preposed task, extracting a queue head task from the queue, and sending an equipment available signal to the corresponding suspended process instance; and after the process instance is recovered, generating and issuing a new control instruction based on the original scheduling instruction to drive the equipment to execute the task.

The invention relates to the technical field of automation, and discloses a scheduling method and system based on multi-process equipment and terminal equipment. The method comprises the following steps: obtaining information of products to be produced and in production in each production batch in real time, wherein the product information comprises a product type, each process type required by the product type and an equipment type required by each process type; generating a scheduling feasibility model of each process type based on the equipment process constraint rule set and the processing time parameter of the equipment type; and traversing each process in each production batch according to a batch priority sequence, and determining a target execution device for the to-be-allocated process and the processing starting and ending time of the target execution device for the current to-be-allocated process through the scheduling feasibility model for the to-be-allocated process. By adopting the method, the scheduling success rate, the production continuity and the high-optimal task response speed can be remarkably improved.