155 results about "Cycle time" patented technology

Systems and methods can enhance efficiencies of order fulfillment processes. For example, this document describes systems and methods for efficiently processing direct-to-customer shipments at a last mile delivery (“LMD”) facility. The systems and methods are focused on rapid loading, unloading and cycling of LMD delivery vehicles through the operation in a space-efficient manner. In some embodiments, the delivery vehicles are cycled through the LMD facility in organized batches to allow high throughput with fast cycle time.

Provided is a numerical control device for improving cycle time and machined surface quality. The numerical control device (1) comprises: a machining program reading unit (10) that generates, on the basis of a read machining program, a tool center point sequence indicating a path of a center point of a tool of a machining tool; an interpolation control unit (11) that interpolates the tool center point sequence generated by the machining program reading unit (10); a kinematic conversion unit (12) that performs coordinate-conversion on the tool center point sequence interpolated by the interpolation control unit (11) to obtain a control point sequence indicating a path of a control point by which the position of the tool is determined; a smoothing application unit (13) that performs smoothing by performing smoothing processing on the control point sequence, obtained by the kinematic conversion unit (12), with predetermined parameters; and a drive control unit (14) that controls driving of a machining tool A on the basis of the control point sequence smoothed by the smoothing application unit (13).

A production schedule estimation method and a production schedule estimation system are provided. The production schedule estimation method includes the following steps. Current-day work-in-process data, machine group cycle time data of a machine group, and productivity data of the machine group are obtained. The current-day work-in-process data, the cycle time data of the machine group, and the productivity data of the machine group are inputted into a prediction model. Current-day cycle time data and a current-day move volume for each of multiple stations in the machine group are calculated through the prediction model. And, current-day move data is calculated according to the current-day cycle time data and the current-day move volume for each of the multiple stations in the machine group.

A method for detecting an anomaly includes obtaining a time-series of historical process variables within a predefined time span; determining a cycle time of the historical process variables; clustering the historical process variables into clusters based on cycle time; arranging the clusters into a tree; storing the tree; obtaining a time-series of a plurality of current process variables, which correspond to the historic process variables; and detecting the anomaly of at least one device by identifying a cycle time of a current process variable that is longer than the cycle time of a corresponding historic variable.

In an industrial processes, a properly instrumented line facilitates capture of data including detected steps, application input, and execution graph transitions, that permit the creation of empirical models of process timing. In this context, a process controlled by individual applications, e.g., at manufacturing workstations, provides a proxy for overall process timing by dividing a workflow into a number of discrete steps completed at each workstation, and further into any number of sub-steps, each controlled by a user and explicitly completed, e.g., by user interactions with widgets or other controls of the application. These applications provide a useful framework for modeling execution timing by providing an initial, implicit model for workflow (based on application control logic) that also facilitates automated detection of process sub-steps based on execution flow, as well as detection and measurement of the contributions of individual widgets and / or combinations of widgets to the process timing. By gathering data in this manner, mixed statistical distributions can be applied based on individual timing data for each possible sub-step, widget, process step, and the like performed with each application.

A system and method for knowledge graph data structure based machine learning capable of processing claim documents to reduce cycle time and improve client experience and return to work outcomes is proposed. The system uses a Large Language Model (LLM), having a name entity recognition model and next best action engine, to identify claim specific data. The claim specific data may include keywords and phrases which are related to a user's claim or history. A pre-trained knowledge graph data structure trained based on a corpus of similar historical treatments is provided to the next best action engine in combination with the user's information for operating in inference mode. The nest best action engine contains triggers which correspond to the identified entities or relationships, and automatically generates an output data structure.

The invention relates to the technical field of industrial automation control, and discloses a multi-station cooperative control method and system of a distributed PLC. The method comprises the steps that independent PLCs are arranged at feeding stations of an annular conveying line, and PLC control units are synchronously formed through an industrial Ethernet and a global clock; the order parameters and the target process information are written into a code carrier on the tray trolley through an RFID radio frequency read-write device, and the code carrier records the process progress, the detection result, the abnormal code and the beat deviation; when the code carrier enters each feeding station along with the tray trolley in sequence, the PLC control unit reads information, monitors the position of the trolley, executes a corresponding task and updates process information in real time; when the detection result is abnormal or the beat deviation exceeds a threshold value, the system triggers a beat adaptive algorithm to generate an optimization instruction set to guide the production beat adjustment; and the warehousing station combines the optimization instruction to execute finished product warehousing or repair processing. The automation level and the production efficiency of a production line are improved.

The invention relates to the technical field of electrical engineering, in particular to a chip mounter module allocation method and device based on differential iteration and a storage medium, and the scheme comprises the steps: obtaining at least one module in a target chip mounter and the number of suction nozzles corresponding to the at least one module; according to at least one element type on the target PCB and the element number corresponding to each element type in the at least one element type, obtaining at least one suction nozzle type and the number of each suction nozzle type in the at least one suction nozzle type; according to the number of the suction nozzles corresponding to the at least one module, the at least one suction nozzle type and the number of each suction nozzle type in the at least one suction nozzle type, determining the total cycle times; and performing differential iteration processing on the total number of circulation times to obtain a target number of circulation times corresponding to each module in the at least one module. According to the method, the efficiency balance among the modules can be realized, and the condition that some modules are overloaded and other modules are idle is avoided, so that each module can work in an optimal state.

The invention discloses a quantitative analysis method and system for the productivity loss of a mobile production line. The method comprises the following steps: firstly, collecting the real-time state and production takt time sequence data of production line equipment; the standard beat ICT of each device is calculated based on the beat data, the actual capacity is calculated by comparing the ICT or integrating the available time and the fault and material shortage duration, and the design bottleneck device and the actual bottleneck device are dynamically recognized; taking bottleneck equipment as a core, counting the total duration of various abnormal states, and quantitatively calculating the total capacity loss quantity of a production line; and performing time sequence backward deduction and logic matching on the external exception of the bottleneck equipment, and tracing and positioning to upstream or downstream source equipment and specific exception events which cause the exception. The system comprises a data acquisition module, a processing analysis module and a result output module for realizing the functions. Accurate quantification, dynamic bottleneck identification and root cause automatic tracing of capacity loss are realized, and data-driven decision support is provided for accurate operation and maintenance and efficiency improvement of a production line.

The invention relates to a method for producing casings, in particular artillery gun and / or grenade casings, from a steel material. Also disclosed is a system for producing such casings, or a system configured to carry out the method according to the invention. The method and the system enable the efficient production of casings with a significantly shortened cycle time.

To provide a rubber connecting device capable of reducing a cycle time.SOLUTION: A rubber connecting device comprises: a rubber supply unit to feed a belt rubber, which is a belt-like rubber string, in a longitudinal direction; a ring forming unit to grip a front side and a rear side of the belt rubber that is supplied from the rubber supply unit and cut in a predetermined length, and folds back the front side and the rear side of the belt rubber so as to form a ring shape; a transportation unit to transport the belt rubber formed into a ring shape to a sewing machine from the ring forming unit; and the sewing machine to perform sewing processing on a sewing margin at which the folded-back front side and rear side of the belt rubber overlap each other.SELECTED DRAWING: Figure 1

The invention relates to a method for operating an industrial robot, wherein a plurality of movements are carried out by the industrial robot during a work cycle to be completed within a specified target cycle time, the speed of the movements being described by a speed parameter. According to the invention, the following steps are carried out in order to approximate the target cycle time and / or reduce the load on the industrial robot: a. selecting a plurality of movements in order to form a movement corpus and ascertaining movement data belonging to the movements in the movement corpus, the movement data comprising a load resulting from the movement, b. temporarily storing the movement data, including a unique assignment to the corresponding movement, c. evaluating the temporarily stored movement data and selecting at least one movement to be controlled by means of a control intervention, d. carrying out a control attempt involving at least one control intervention, a new speed parameter for a movement to be controlled being determined as part of a control intervention, whereby the target cycle time is approximated and / or the load on the industrial robot is reduced, and e. storing the new speed parameter generated during the control intervention as the new speed parameter for the movement to be controlled. The invention also relates to a control device.

The application discloses a kind of microservice fault prediction method and terminal, collect the history fault of each instance on microservice, according to the classification type and historical running information of history fault constructs fault type library. According to the cycle time, the real-time running information of each instance on microservice is collected in real time, if real-time running information and historical running information in fault type library match successfully, then the fault type corresponding to real-time running information is obtained. In this way, possible fault conditions can be predicted before the real fault occurs, facilitating subsequent execution of related remedial action, and the probability of system failure can also be reduced through prediction, improving user experience.

To appropriately assign the time of out-of-line work to an out-of-line worker.SOLUTION: An apparatus for planning work personnel 1 comprises a total workload calculating section 15 that classifies out-of-line work which is work outside a production line into cyclic work having the time of work dependent on cycle time and non-cyclic work having the time of work not dependent on cycle time, calculates the time of cyclic work based on cycle time, calculates the time of non-cyclic work based on a work occurrence rate and calculates a total workload which is a sum of the time of cyclic and non-cyclic work, a number-of-input personnel determining section 16 that determines the number of input personnel to out-of-line work based on the total workload, a workload assigning section 17 that assigns the time of out-of-line work to a determined number-of-input personnel of out-of-line workers in proportion that the workload approximates equivalence the most based on skill of an out-of-line worker for out-of-line work, and an assignment-result output section 19 that outputs assignment-result information indicative of a result of assignment.SELECTED DRAWING: Figure 1

A novel forming method and apparatus for forming products from molten material is provided. [Solution] A molding method and apparatus for forming a product from a quantity of molten material, in which the movement of one part of a mold to another part of the mold is controlled in a predetermined position and the compression movement accounts for 5% to 40% of the cycle time.

The present invention provides a workpiece taking-out device that can stabilize the cycle time even though it involves an operation of reversing the workpiece. The workpiece taking-out system includes: a workpiece taking-out device for taking out a workpiece; and a control device for setting the taking-out order of the workpiece. The control device includes: a storage unit that stores the setting posture, which is the posture when the workpiece is set on the jig; a current posture detection unit that detects the current posture of the workpiece; a change amount calculation unit that calculates the change amount between the setting posture and the current posture; a taking-out candidate determination unit that compares the change amount with a threshold value and determines the workpiece to be the priority taking-out candidate based on the result of the comparison; and a taking-out instruction unit that outputs a first instruction to the workpiece taking-out device to make it take out the priority taking-out candidate workpiece.

The invention relates to a method for operating an industrial robot, wherein the industrial robot performs a plurality of movements during a work cycle to be completed within a predetermined target cycle time, the speed of which is described by a speed parameter. According to the invention, the following steps are carried out to approximate the target cycle time and / or reduce the load on the industrial robot: a. Selecting multiple movements to form a movement set and determining movement data belonging to the movements in the movement set, wherein the movement data includes a load resulting from the movement, b. Temporarily storing the movement data, including a unique assignment to the corresponding movement, c. Evaluating the cached motion data and selecting at least one motion to be controlled by a control intervention, d. Performing a control attempt comprising at least one control intervention, wherein, within the framework of a control intervention, a new speed parameter for a movement to be controlled is determined, thereby approximating the target cycle time and / or reducing the load on the industrial robot, and e. Saving the new velocity parameter generated during the control intervention as the new velocity parameter for the movement to be controlled. The invention also relates to a control unit.

Methods, systems, and non-transitory machine-readable media encoding instructions for managing a fleet of autonomous mobile robots in a facility. In one aspect, a computer-implemented system for managing a fleet of autonomous mobile robots in a facility can include a log of characteristics of cycle times of communications between the system and the autonomous mobile robots in the fleet over time, and an analysis component configured to determine, based on the logged characteristics of the cycle times, i) a location in a facility at which or ii) a time of day during which or iii) equipment used in communications between the system and the autonomous mobile robots in the plurality that are either inadequate or deficient. Each communications cycle includes wireless transmission of test signals to a plurality of the autonomous mobile robots in the fleet and receipt of responses to the test signals transmitted wirelessly from each of the autonomous mobile robots in the plurality.

The present application relates to a process cycle time determination method and apparatus, a computer device, and a storage medium. The method comprises: on the basis of production process data and production line body attribute data, performing processing to obtain a first data set, the first data set comprising a duration of each action of a target line body at a target station and in the process of a target production vehicle type with respect to a first action; when there is a missing value in the first data set, performing two-dimensional matrix conversion on the first data set to obtain a first matrix; using a K-nearest neighbors model and a chain equation model of a random forest to perform filling at the position of the missing value in the first matrix to obtain a corresponding filling value; filling the filling value in the position of the corresponding missing value in the first data set to obtain a second data set; and on the basis of the second data set, determining a process cycle time of the target line body at the target station and in the process of the target production vehicle type. By using the method, filling can be better performed at the positions of missing values, and the accuracy of process cycle time calculation results is improved.

The present invention provides a molded product taking-out machine and a work monitoring method thereof capable of detecting a situation where a response to a work delay or insufficiency by a work performer at the time of a pause is made late or insufficient in a simple manner. The molded product taking-out machine has a cycle time management section (3) including a cycle time measuring section (5) that measures a cycle time at each cycle of taking out a molded product from an injection molding machine, a target cycle time setting storage section (7) that sets and stores a target cycle time, a comparison section (9) that compares the measured cycle time with the target cycle time at each cycle, an exceeding number measuring section (11) that measures a number of times of continuously exceeding the target cycle time after the next cycle in the case where the result of the comparison is that the measured cycle time exceeds the target cycle time, and a detection signal output section (13) that outputs a detection signal in the case where the number of times of continuously exceeding the target cycle time exceeds n times, n being an integer of 1 or more.

The application relates to the technical field of lifting control, and discloses a control method and a control device of a lifting device, in order to realize accurate lifting height control. The control method comprises the following steps: obtaining a control instruction comprising a cycle number, a cycle time and an expected height; obtaining the actual height of a load in real time; setting the ratio of the motor rotating speed to the lifting speed of the load in the first cycle; when i is greater than 1, calculating the ratio in the i-th cycle according to the output rotating speed of the motor in the (i-1)-th cycle, the actual height at the starting moment of the (i-1)-th cycle, the actual height at the starting moment of the i-th cycle and the cycle time of the (i-1)-th cycle; in the i-th cycle, calculating the output rotating speed of the motor according to the expected height, the actual height at the starting moment of the i-th cycle, the cycle time of the i-th cycle and the ratio in the i-th cycle; and controlling the motor according to the calculated output rotating speed in the first to i-th cycles respectively.

A motion generation device is configured to generate motion of a slide of a press device including the slide to which an upper die is attached, a bolster on which a lower die is placed, and a servomotor configured to move the slide reciprocally in the up and down direction. The motion generation device includes a motion generation section. The motion generation section is configured to generate a derivative motion of the slide at a cycle time different from the cycle time of the standard motion of the slide, such that the derivative motion includes the same motion as a first region of the standard motion including at least from top dead center to the end position of the molding region, and the speed of the slide at top dead center of the derivative motion is the same as the speed of the standard motion.

The invention provides a sample adding method of an automatic analysis instrument and the automatic analysis instrument. The sample adding method comprises the following steps: dividing cycle time into a time slice s1 to a time slice s6 in sequence; adding a sample to the reaction cup in the first target hole position of the sample needle operation position within the s1 time slice; s2, rotating the first target hole position to a reagent needle operation position in the time slice; s3, adding a reagent into the reaction cup in the first target hole site within the time slice; s4, the first target hole position is rotated to the uniform mixing operation position within the time slice; s5, uniformly mixing the reaction cups in the first target hole position within the time slice, moving the reaction cups which are currently positioned in a second target hole position of the gripper operation position and are uniformly mixed in the previous sample adding process to the incubation plate, and grabbing a new reaction cup and putting the new reaction cup into the second target hole position; and s6, rotating the second target hole position to the sample needle operation position within the time slice, wherein the roles of the first target hole position and the second target hole position are exchanged in the next sample adding process. The automatic analysis instrument adopts the sample adding method. According to the invention, the average time of a single sample adding process can be shortened, and the accuracy of an instrument analysis detection result can be improved.

A tube cleaning apparatus 100 is disclosed that interfaces with a tube 115 targeted for cleaning. The tube 115 connected to the apparatus 100 via a flange 120 positioned at the open end of the tube, linked to adapter 125 integrated into tube cleaning apparatus 100. Alignment of the tube 115 with the apparatus 100 ensures their central axes are coaxial, with a system in place to address minor misalignments. Apparatus 100 features controller unit 130 responsible for managing cycle times and pertinent parameters. Operating in manual, semi-automatic, or automatic modes as configured within the controller unit 130, the apparatus 100 facilitates cleaning of the tube 115 in accordance with predefined protocols. All cleaning operations, including chemical cleaning, water washing, hot air flushing, oiling, are executed within a CIP framework, eliminating the need for disassembly or reassembly processes.

To provide a technique for easily leveling tact balance between component mounters.SOLUTION: A management device for managing a plurality of component mounters constituting a component mounting line includes an allocation unit for allocating, for each component mounter, a plurality of components to be mounted on a board to a component group to be mounted on a board by the component mounter, a supply information acquisition unit for acquiring supply information regarding a time required for a supply process to supply new components to a component supply unit of the component mounter when a component group allocated to each component mounter by the allocation unit is mounted on the board by the component mounter, and an adjustment unit for adjusting the number of components in the component group allocated to each component mounter by the allocation unit based on the supply information acquired by the supply information acquisition unit so as to reduce the difference in cycle time required for the mounting process of each component mounter.SELECTED DRAWING: Figure 4

An electronic device is provided. The electronic apparatus includes a memory in which an application is stored, a display, a position sensor, and a processor which executes the application to acquire user position information corresponding to a user terminal position sensed by the position sensor, and control a display to provide a user interface (UI) for controlling a cycle time of a washing apparatus, the UI being provided on the basis of information related to the cycle time of the washing apparatus and the user position information.

Method for operating an electric drive system, in which a synchronization signal (Sync) with a cycle time (Δtmaster) of a master of a higher-level fieldbus (1) or an integer multiple of the cycle time (Δtmaster) of the master (3a) of the higher-level fieldbus (1) is cyclically sent from the master (3a) to slaves (3b, 3c).

This application discloses a method for predicting OTA upgrade completion rate and cycle time based on multimodal data fusion. The method first collects multimodal data on vehicles, users, environmental networks, and upgrade packages, and generates feature vectors reflecting multidimensional influencing factors through preprocessing and feature engineering. Subsequently, the feature vectors are input into a pre-trained multi-task learning model, which outputs in parallel the upgrade completion probability and predicted upgrade cycle time for the target vehicle. Finally, based on these prediction results, a global completion rate curve and optimization strategy are generated. This application overcomes the limitations of traditional methods that rely on single historical data by fusing multi-source heterogeneous data, achieving a shift from "post-event statistics" to "pre-event prediction." It can accurately predict key indicators of OTA upgrade activities and provide quantitative basis for proactive intervention and resource planning, significantly improving upgrade completion rate and operational efficiency.

This invention discloses a cross-scenario collaborative optimization method for a two-sided dismantling line for waste household appliances, belonging to the fields of intelligent optimization algorithms and dismantling line balancing. The invention establishes a balanced optimization model for a two-sided dismantling line for waste household appliances, obtains the optimization objective function of minimizing the cycle time and minimizing the total task adjustment amount during the dismantling process, and constructs a multi-objective cross-scenario collaborative evolutionary algorithm to solve it. This significantly improves the allocation efficiency of dismantling tasks under multi-objective optimization and generates an optimized scheduling scheme that can balance cycle time and total task adjustment amount.