65 results about "Operator interface" patented technology

The invention discloses a full-process automatic unit testing method, device and equipment for an AI chip operator, a medium and a product. The method comprises the following steps: generating an engineering directory and a test framework design document through an architect agent according to operator interface information and a DSL operator design document knowledge base; the method comprises the following steps of: generating a test code for unit test by a software engineer agent according to a test framework design document and a domain knowledge base, and storing the test code in an engineering directory; multiple rounds of interaction are carried out through a software engineer agent and a test engineer agent, a test code is gradually corrected into a target test code which can be successfully compiled, a generated test case can be successfully executed and the generated test case meets the code coverage rate requirement, and a target operator code passing a unit test is obtained; and submitting the target operator code and the target test code which pass the normativity check to a code warehouse through a code auditing engineer agent so as to automatically realize the whole-process unit test of the AI chip operator.

A data processing system for artificial intelligence-based setting of controls in an evaluation interface comprising a data store storing: a plurality of transactions; a plurality of completed evaluations, each completed evaluation including an indication of a transcript portion associated with an evaluation answer. The system determines a word or phrase common to a first set of transcript portions associated with the evaluation answer; creates a first set of auto answer parameters that includes the word or phrase; auto answers the question for a set of test transactions to generate an auto answer for each test transaction; and based on a determination that the first set of auto answer parameters auto answered the question with a threshold level of accuracy, configures an evaluation system to use the first set of auto answer parameters to preset an answer control in an evaluation operator interface.

A data processing system for artificial intelligence-based setting of controls in an evaluation interface comprising a data store storing: a plurality of transactions; a plurality of completed evaluations, each completed evaluation including an indication of a transcript portion associated with an evaluation answer. The system determines a word or phrase common to a first set of transcript portions associated with the evaluation answer; creates a first set of auto answer parameters that includes the word or phrase; auto answers the question for a set of test transactions to generate an auto answer for each test transaction; and based on a determination that the first set of auto answer parameters auto answered the question with a threshold level of accuracy, configures an evaluation system to use the first set of auto answer parameters to preset an answer control in an evaluation operator interface.

A concrete mixer vehicle includes a chassis, a cab, a drum system, and a control system. The drum system includes a mixer drum coupled to the chassis and a drum driver configured to rotate the mixer drum. The control system includes an operator interface disposed within the cab and one or more processing circuits. The operator interface includes a display and a joystick. The one or more processing circuits have programed instructions to control the display to provide a graphical user interface. The graphical user interface provides a graphical representation of the mixer drum, a settings button, a temperature output, a pressure output, a slump output regarding a slump of contents within the mixer drum, a speed output regarding a rotational speed of the mixer drum, a revolution counter regarding a number of revolutions of the mixer drum, and a mode indicator regarding an operational mode of the drum system.

A Multisensory Simulation System comprises systems including: an Omni-Directional Treadmill (ODT), a Gravity Modification System (GMS), a Motion and gesture Tracking System (MTS), a Data Analytics System (DAS), a Visual Stimulation System (VSS), an Auditory Stimulation System (AUSS), an Operator Interface System (OIS), a User Harness System (UHS), a Tactile Stimulation System (TSS), an Atmospheric Simulation System (ATSS), a Neurological Stimulation System (NSS), an Olfactory Stimulation System (OSS), a Gustatory System Stimulation System (GSS), a User Monitoring System (UMS), a Controller, a Game Engine System (GES), database, a Communication Unit (CU), a User Safety System (USS), and a communication bus.

The present invention pertains to methods for operation, maintenance, and monitoring of rotating electrical machines, and relates to a system and a method for monitoring the operational condition and detecting mechanical, electrical, load, and process faults in rotating electrical machines. The proposed system and method, together, provide a more effective way to detect faults early on, with greater installation convenience and scalability than prior art methods, and are more efficient in avoiding production losses, improving operational performance and preventing damage to equipment and risks to operators. The developed method continuously collects electrical current and voltage signals that power the machine, utilizing a data acquisition module and current and voltage transformers. The collected data undergoes stages of compression, encryption, application of Fast Fourier Transform (FFT), subsampling, feature extraction, anomaly detection using statistical and machine learning techniques, and fault classification using machine learning techniques. The proposed system consists of one or more data acquisition modules, one or more gateway devices, a processing center on a cloud computing platform, and an operator interface. In an industrial application, the method can be continually improved with the collection of new data and with validation information from an operator in the face of an identified fault.

The invention discloses a standard development test method for an operator interface, and relates to the technical field of operator development, the method comprises the following steps: in the development stage of the operator interface, constructing a universal development code, and generating an operator interface code of a target operator based on the universal development code, the construction process of the universal development code following a prefabricated code standard; in the test stage of the operator interface, a general test code is constructed, an interface test code of a target operator is generated based on the general test code, and the construction process of the general test code follows a prefabricated code specification; code specification detection is carried out on the target code based on the prefabricated code specification, wherein the target code comprises an operator interface code and an interface test code of a target operator; and under the condition that the code specification detection is passed, storing the target code. According to the method, the standardability of the operator interface code and the interface test code can be ensured, and the development test efficiency can be improved.

The invention relates to the technical field of artificial intelligence chips, and provides an operator performance evaluation method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a configuration file corresponding to a to-be-evaluated operator, enabling the configuration file to comprise a hardware configuration file and an operator configuration file, carrying out the instantiation of a global object based on the configuration file, obtaining a hardware platform instance and an operator instance; the operator instance inherits a base class in a unified manner, and the base class is a standardized interface obtained by abstracting computational logic of performance indexes of operators; the global object is a class object obtained by performing interface abstraction on a hardware platform interface and an operator interface; according to the performance index of the base class calculation operator instance when the base class calculation operator instance runs on the hardware platform instance, the evaluation result of the theoretical performance of the to-be-evaluated operator is obtained, multiplexing of the calculation logic of the operator performance index is achieved, the calculation logic of the operator performance index does not need to be rewritten for different hardware platforms, and the calculation efficiency is improved. And the evaluation efficiency of operators across hardware platforms is improved.

A game management system provides a generator interface that enables an operator to trigger automated generation by a content generator of a game event based on operator input values. These values include a particular predefined group or cluster of players for whom the game event is to be tailored or customized based on multidimensional parametric player model data. Additional parameters for which operator input mechanisms are provided by the generator interface include respective target values for a target metric (e.g., a difficulty level) for each of a plurality of game levels that are together to form a game event.

An operator interface for a combine harvester, having a display device, input means and a processor configured to activate the display device such that the display device depicts having an elongated element, a scale being assigned thereto, and a first marking, the position thereof relative to the elongated element depending on an operating parameter of the threshing device and / or the cleaning device. A second marking and / or third marking, which represents a lower and / or upper limit of the setting range of the operating parameter which is predetermined depending on the type of crop, is assigned to the elongated element in the diagram.

The invention discloses an algorithm operation method and device, equipment, a medium and a product, and the method comprises the steps: responding to operation triggering of a first algorithm model, obtaining model input data, analyzing a model structure, and obtaining a sub-algorithm module and a model type in the first algorithm model; a first operator interface is obtained based on the mapping relation between the calculation mode and the operator interface, and the first operator interface corresponds to the first calculation mode of the sub-algorithm module; obtaining a first operator list through the first operator interface, and determining at least one first operator in the first operator list; the first operator is determined based on the operation environment information of the first algorithm model, and a model input shape and a model type corresponding to the model input data; and obtaining and operating the first operator to operate the first algorithm model. According to the technical scheme, a unified operator interface can be provided, operators matched with the operation environment are automatically distributed, the operator use threshold is lowered, and therefore the algorithm operation efficiency is improved.

A medical instrument system may comprise a control system, a display device, and an operator interface device. The control system may display an interaction panel including a plurality of interaction elements on the display device. The control system may also constrain motion of the operator interface device to translational motion in a haptic plane with a haptic plane constraint while the interaction panel is displayed. The control system may also determine a cursor position that corresponds to a position of a selection portion of the operator interface device and determine an element type for a first interaction element at which the cursor position is located. The control system may also remove the haptic plane constraint on the operator interface device if the element type is a three-dimensional rotation type.

Security systems requiring intentional function activation and material testing systems including security systems requiring intentional function activation are disclosed. An example material testing system includes an actuator configured to control an operator accessible component of the material testing system; an operator interface comprising a plurality of inputs; and one or more processors configured to: control the actuator based on at least one of a material testing process or an input from the operator interface; and requiring two or more inputs to be received within a predetermined threshold time to allow at least one operation of the actuator.

An agricultural harvester incorporates a navigation system that controls its movement to follow a guide line. The harvester is positioned at a desired location to engage with the crop. An operator interface is created using a displacement actuator. An operator input to the displacement actuator is detected, and a line / path displacement processor moves one or more guide lines based on the position and orientation of the harvester and the position of the crop rows.

The aim of the invention is to increase flexibility, operating comfort, and reliability. This is achieved by an operator control device for domestic appliances (10a; 10b), comprising an operator interface (12a) and a communication unit (14a; 14b) at least for receiving at least one NFC signal from a domestic appliance device (40a) and for at least partly supplying energy to at least the operator interface (12a) by means of the NFC signal.

Visualization software that enables creating custom interfaces in operator-machine interface applications is described. A system enables a user to define a script that includes custom logic and to identify corresponding data. The system configures an operator-machine interface application to execute the user-defined script at runtime, and deploys the user-defined script to a cloud platform. The operator-machine interface application subscribes to an attribute value associated with the user-defined script. The user-defined script executes a part of the custom logic, thereby retrieving the identified data via an application programming interface, transforming the retrieved data to a format used for display; and writing the formatted data to the attribute value. The operator-machine interface application displays content based on the subscribed attribute value.

The present invention discloses a deep learning model rapid construction system compatible with multiple frameworks, including: a device layer, a backend layer and a user layer, the device layer includes several hardware modules, the backend layer includes several deep learning frameworks, each deep learning framework includes several underlying operators, each underlying operator has a unified operator interface, the user layer includes a model abstract module, the model abstract module includes model training parameters and calculation logic corresponding to each deep learning framework, the user layer is used to call the underlying operators in the backend layer to build a deep learning model, and train the deep learning model through the hardware modules of the device layer, wherein the deep learning model is built based on an API provided by the user layer. The construction system of the present invention is compatible with different deep learning frameworks and different hardware, so that users can quickly and efficiently build deep learning models, reducing tedious code development and code migration work for switching different deep learning frameworks.

The invention discloses a polyphonic ringtone automatic replacement method and device, equipment and a medium, and the method comprises the steps: periodically calculating the popularity value of each polyphonic ringtone in a polyphonic ringtone library based on pre-configured user preference information; screening a target polyphonic ringtone according to the popularity value for the user who has started the automatic replacement function at a preset timing trigger moment, and generating a polyphonic ringtone replacement task; and then, writing the polyphonic ringtone replacement task into a message queue, and asynchronously executing the polyphonic ringtone replacement task by a consumer service in butt joint with the message queue so as to call an operator interface to complete polyphonic ringtone setting. According to the method, the batch tasks are written into the message queue, the back-end consumer service carries out asynchronous consumption, and the operator interface is called for execution, so that the request pressure is effectively dispersed, the stability and reliability of the system in a high-concurrency scene are ensured, the whole process does not need user intervention, and automatic, intelligent and smooth replacement of the polyphonic ringtone is realized. The method can be widely applied to the technical field of polyphonic ringtones.

The embodiment of the application provides a kind of operator calling method of deep learning framework, storage medium and electronic equipment, wherein deep learning framework is the framework of artificial intelligence model, deep learning framework includes front end, back end and adaptation layer, back end maintains with the string name of operator as key, with the operator interface function pointer of adaptation layer as value's register table, front end is used to dynamically load the operator library of back end;Method includes: using the string name of the operator to be called of front end to query register table, wherein the operator to be called belongs to the target operator library of target chip;In the case where the operator interface function pointer of the operator to be called is found, the operator interface function of the operator to be called in adaptation layer is called using the operator interface function pointer of the operator to be called, to call the operator function of the operator to be called in target operator library.By the present application, the operator calling method of deep learning framework in the related art is solved Adaptation layer low universality problem.

Method for evaluating an object space sensor (41) arranged on an autonomous vehicle (10), wherein the object space sensor (41) is arranged to monitor a spatial environment near the autonomous vehicle (10), and wherein the autonomous vehicle (10) includes a telematics device for communicating with an off-board controller (280), the method comprising: Determining a first health status parameter, SOH parameter, for the object space sensor (41) based on internal monitoring of the object space sensor (41), wherein a first field of view (43) is assigned to the object space sensor (41); Determining a second SOH parameter for the object space sensor (41) based on a correlation analysis of data generated by a second space sensor (41') arranged on the autonomous vehicle (10); Determining a third SOH parameter for the object space sensor (41) based on historical data for the object space sensor (41) that is assigned to a geographic position; Determining a fourth SOH parameter for the object space sensor (41) based on a correlation analysis with an input from a third space sensor located on a second vehicle, wherein the input from the third space sensor includes data associated with the geographic position; Determining a fifth SOH parameter for the object space sensor (41) based on a correlation analysis with an input from a calibration space sensor located on a calibration vehicle, wherein the input from the calibration space sensor includes data associated with the geographic position; Determining an integrated SOH parameter for the object space sensor (41) based on the first, second, third, fourth and fifth SOH parameters; Comparing the integrated SOH parameter with a threshold SOH; Displaying a result of the comparison of the integrated SOH parameter with the threshold SOH via an operator interface device when the integrated SOH parameter is less than the threshold SOH, the result indicating that the object space sensor (41) is not suitable for use for monitoring the spatial environment near the vehicle (10); and Transmit the result to the off-board control (280) to schedule vehicle service based on the result.

The invention provides a boron neutron capture therapy target control system based on an EPICS architecture. The boron neutron capture therapy target control system comprises an equipment control level, an input and output controller IOC and an operator interface OPI which are connected in sequence. The equipment control level is used for monitoring and controlling physical equipment of the target system through a programmable logic controller (PLC); the input and output controller IOC is used for running a distributed real-time database and an equipment driving program so as to perform data exchange and communication between the equipment control level and the operator interface OPI; and the operator interface OPI is used for providing a graphical interface so as to display real-time data, state and alarm information of the system, and receiving an operation instruction. The purposes of high integration level and good real-time performance are achieved.

A system and method including a scraper may include an operator training routine using in-cylinder position sensing to notify the operator via an operator interface (e.g., mounted onboard display, smartphone, etc.) when they are doing something potentially damaging to one or more scraper components or otherwise injecting inefficiency into work operations. Audible and / or visual notifications may for example be enabled for operators of / below a specified skill level, for specified movement speeds, etc. In an embodiment, to utilize advanced automation capabilities of in-cylinder position sensing, a calibration sub-process is executed to specify a location of the ground plane. The scraper ground plane calibration is requested through an operator interface and prompts lowering of the blade to the ground. Once the blade is detected on the ground plane, e.g., using measured movement characteristics of the blade to determine that the blade has stopped, the in-cylinder position sensor reading is recorded.

A non-destructive test apparatus can include a scanner assembly configured to encode movement in, for example, one or two directions. The scanner assembly comprising a carriage comprising one or more respective wheels oriented to rotate in a circumferential scan direction, the carriage housing or otherwise guiding a transducer probe assembly. A first encoder can be configured to generate a first signal representative of displacement of the carriage in the first direction, and the scanner assembly can also include at least one wheel can be oriented to rotate in an indexing direction, where a second encoder is configured to generate a second signal representative of displacement of the carriage in the second direction in response to rotation of the at least one wheel oriented to rotate in second direction. An operator interface on-board the scanner assembly can receive user input and contemporaneously present a status indication to guide inspection.

The present invention provides a computerized procedure method and device for a high-temperature gas-cooled reactor power plant. The method obtains real-time operation data of the high-temperature gas-cooled reactor power plant and determines whether the real-time operation data of the power plant meets the procedure entry conditions; performs procedure processing on the real-time operation data of the power plant that meets the procedure entry conditions to obtain a procedure processing result; and transmits the procedure processing result to the corresponding position of the high-temperature gas-cooled reactor power plant so that the high-temperature gas-cooled reactor power plant correspondingly executes the procedure processing result. Through the present invention, procedure information is displayed to the operator in a graphical or text-based manner on the operator interface, helping the operating personnel to more effectively use the procedures to control the nuclear power plant. The computerized procedures can assist in the use and management of the operating procedures and play a better supporting role for the operator during normal or emergency operations.

Embodiments of the present disclosure relate to a visualized operator interface for a technical system. A method of controlling a visualized operator interface (200) is proposed, the visualized operator interface (200) comprising a plurality of predefined areas (210), the plurality of predefined areas (210) comprising one or more monitoring areas configured to display a visualized element representing a current state of a technical system (290). According to the method, it is determined (110) that one of the monitoring areas is to be prioritized; and an incomplete visibility reduction (140) is initiated in at least one other area of the visualized operator interface, wherein the prioritized monitoring area is not affected by the visibility reduction.

The invention relates to the technical field of robot control, and discloses a post-disaster rescue robot control method and system, and the method comprises the steps: continuously collecting the pressure distribution data between a robot and a supporting surface and the posture data of a robot body; performing real-time analysis on the pressure distribution data and the attitude data to detect whether an unexpected trend indicating instability of the supporting surface or unbalance of the attitude of the robot exists or not; when the unexpected trend exists, adjusting operation is executed according to the unexpected trend, and the adjusting operation comprises adjusting the driving torque of the robot or adjusting the gravity center position and / or posture of the robot; and reporting the collected pressure distribution data and attitude data, the detected unexpected trend and the adjustment operation to a remote operator interface. According to the method, tiny changes generated by interaction between the robot and the environment can be sensed in real time, adjustment is carried out in time, secondary dangers induced by behaviors of the robot are effectively avoided or relieved, and the rescue efficiency and safety are improved.

The invention relates to a method for additive manufacturing of a three-dimensional object comprising a device having a preparation unit for at least one plasticisable material, at least one printing head having at least one discharge nozzle, a construction platform that can be moved by motors along a plurality of axes, sensors for recording physical values of the motors, an open-loop and closed-loop control unit and a human-machine operator interface. The method comprises a sensor data evaluation and regulated control of the motors, wherein plasticised material from the discharge nozzle is deposited on the construction platform and the construction platform is moved in order to manufacture the object layer-by-layer. Previously determined statistical data (10, 20, 30) of the motors (200, 201, 202) are compared with process data (40) determined during the manufacture of the object, in order to determine a deviation, wherein the statistical data (10, 20, 30) and the process data (40) comprise the recorded physical values of the sensors. A deviation of the statistical data and the process data is evaluated in order to determine anomalies of the object to be manufactured, wherein an assessment-dependent communication takes place with an artificial intelligence and / or an operator for process control.

The invention relates to a software-supported method for operator guidance in the graphic arts industry, which transmits one or more operating steps to an operator via an operator interface (9b), in particular optically and / or acoustically, by means of at least one computer (6, 8, 9a). The at least one computer (6, 8, 9a) receives data from one or more print jobs, prepares the print job data for processing by at least one printing material processing machine (9), and calculates manual operating steps depending on the properties of the printing material processing machine (9) processing a print job. The method is characterized in that operating steps to be carried out manually, along with a time for execution, are transmitted optically and / or acoustically to the operator of the printing material processing machine (9) via the operator interface (9b).

A system (1100) for prioritizing vehicle operator (205) and vehicle requirements (1000) over a secure wireless network (80) is disclosed herein. The system (1100) includes a connected vehicle device (135), an operator interface device (110) configured to access data from the CVD (135), and at least one off-vehicle source (70) selected from at least one database, at least one cloud source, or at least one physical structure with a communication device. The system (1100) is configured to prioritize one or more of the instruction sets according to configurable constraints.

The embodiment of the invention discloses an automatic generation method and device from a deep learning program to a computational graph, and the method comprises the steps: receiving deep learning programs written in different languages, and carrying out the preprocessing; performing deep analysis and processing on the input deep learning program by using LLM; according to an LLM processing result, a calculation graph description program is generated in combination with a preset calculation node library, and a final calculation graph is generated after the program is executed, so that the accuracy and integrity of the calculation graph are ensured; wherein the computational node library comprises an API (Application Program Interface) defined by each operator, and each operator interface realizes that specific nodes and edges are added into the computational graph; the method has the beneficial effects that an innovative and efficient solution is provided for generation of the computational graph of the deep learning program by utilizing the advantages of the LLM.