160 results about "Technical systems" patented technology

The invention discloses an SPCS building industrial construction system, which belongs to the technical field of fabricated buildings, and comprises a complete set of technical systems for building industrial design, production and construction, industrial production, transportation and construction site equipment, and a cloud platform for full-life-cycle management and control. The three parts cooperate to realize whole-process integrated construction of investment and planning, planning and design, production and supply, construction and delivery, and operation and maintenance and absorption. Data communication and collaboration are achieved, the design and production matching degree is improved, the construction real-time management and control capacity is improved, quality and safety are guaranteed, green, low-carbon and resource recycling are achieved, and the comprehensive benefits of industrial building of buildings are remarkably improved.

Device and computer-implemented method for machine learning, wherein a data set is provided in which a measurement of an operating variable of the technical system (108), in particular a noisy measurement of the operating variable, is assigned to each control variable of a technical system (108), wherein parameters of a hybrid model, in particular a hybrid differential equation, are learned depending on the data set, wherein the hybrid model comprises a physical model and a data-based model, wherein the physical model is configured to determine a first part of a temporal change of the control variable of the technical system (108), and wherein the data-based model is configured to determine a second part of the temporal change of the control variable of the technical system (108).wherein a control variable of the technical system (108) is determined depending on a measure of information gain dependent on the control variable when measuring the operating variable of the technical system (108) when the technical system (108) is operated with the control variable, and depending on a probability that the operation of the technical system (108) with the control variable is safe, wherein a measurement of the operating variable associated with the control variable, in particular a noisy measurement of the operating variable, is recorded during the operation of the technical system (108) with the control variable, wherein the control variable and the measurement associated with the control variable are added to the data set, and wherein parameters of the hybrid model are learned with the data set to which the control variable and the measurement associated with the control variable have been added.

The invention discloses an alarm confirmation method and device and a storage medium, and the method comprises the steps: obtaining a to-be-confirmed alarm which has been notified to an operation and maintenance system which comprises at least one of a business system, a technical system and an infrastructure system; and matching the to-be-confirmed alarm with confirmation rules to determine whether the to-be-confirmed alarm needs to establish an order, the confirmation rules including an order establishment confirmation rule and an order non-establishment confirmation rule. According to the technical scheme, the problems that in the prior art, alarm information is not accurate, frequent manual confirmation is needed, the alarm analysis workload is increased, and the application range is narrow are at least solved.

The invention relates to a module and a method for the flexible execution of tasks concerning the provision of information related to a technical system equipped with system software. The module (1) according to the invention comprises an input interface (2) for inputting tasks, analysis software (3) for analyzing tasks entered via the input interface, an interface (4) to an LLM-based system for providing outputs initiated by a prompt and generated using internet information, and an interface (5) to the system software (6).The analysis software (3) is designed to analyze input tasks relating to the provision of information related to the technical system equipped with system software, to determine which information required for the completion of the respective task can be provided by the system software (6), and to access the LLM-based system for the provision of prompt-initiated outputs generated by Internet information for information required for the completion of the respective task that cannot be provided by the system software (6).

Method for training a student network of a teacher-student training architecture for point cloud registration for mapping an environment for navigating a technical system, wherein the teacher-student training architecture comprises a teacher network (200) and the student network (202).

Recent advances in AI allow for realistic communication between a person and a computer-implemented model via a computer-implemented application. Due to the growing need for effective and efficient meeting outcomes, the idea has arisen to use such an application to manage meetings (managing a meeting is also called "leading" or "moderating"). The technical challenge here is that such applications currently assume a person is communicating with the model, whereas meetings naturally involve at least two people (referred to here as "participants" or "TPs"). Having both TPs share a single, simple user interface system, as currently exists, is not a viable solution, because the model would then be unable to distinguish who made which statement.Nor is it a solution to have each participant use their own user interface, and for these interfaces to be completely independent of each other. Furthermore, a meeting cannot be controlled by a single response from a model, as a meeting is always a longer communication process between the participants. This requires a technical method for transmitting instructions for the specific implementation of the leadership / moderation (including control if the meeting has multiple objectives and / or topics) and for providing the model with relevant information from the meeting's progress so far. All of this is technically solved by a computer-implemented system product with inherent methods as described below: For all participants in a meeting (6), an environment is set up within a (computer-implemented) communication system (1). The participants in this meeting can perceive what each participant says in the meeting. At the same time, this provided environment is separated from other environments to ensure confidentiality. Within the provided environment, a computer-implemented "bot" (2) controls the meeting. (It could also be called a "virtual assistant," "virtual moderator," or similar.) This bot transmits all predefined instructions for leading the meeting (3), the first utterance of a participant, and an identifier for that participant (!) to a model (4) (e.g., a pre-trained Large Language Model), which then responds accordingly. The bot outputs this response in the communication system and stores the original utterance of the participant and the model's response in a computer-implemented storage system (5). With each subsequent utterance from a participant, the bot retrieves the previous utterances and responses from the storage system and also transmits them to the model. If basic communication rules are not followed by TPs, the bot can react in a specific way. Additionally, a separator is used if the TPs in a meeting use a shared user input channel. For a successful technical system product, it is also important that two environments deployed in (1) during the same period have identical properties. Therefore, such environments are created automatically after a request (7). If desired, each deployed environment can later be used for further meetings. The invention described here achieves the overcoming of the aforementioned technical problems, enables meetings to produce more effective and efficient results with less resource expenditure, and offers further advantages.

Methods for determining the reliability of a technical system using fault tree analysis, comprising the following steps: S1 - Defining basic events of fault tree analysis; S2 - for each basic event, defining a fuzzy linguistic variable and a set of membership functions; S3 - at least partially based on real-time embedded software, defines a minimal cutting set for linguistic fault tree analysis; S4 - at least partially based on the minimum intersection theorem, determining the reliability of the technical system. Furthermore, the invention relates to a control unit, vehicle system, a computer program product and a computer-readable medium for executing the method.

Tuning weights of a neural network of a model for processing input of the model representing information about a technical system and outputting an output of the model for operating a technical system. The model includes a linear layer for mapping a multidimensional input of the layer depending on the weights to a multidimensional output of the layer. The model is configured to determine the input of the layer depending on the input of the model, and to determine the output of the model depending on the output of the layer. A method includes providing training data include the input of the model and a ground truth for the output of the model corresponding to the input of the model in the training data, providing a set of tuning methods for tuning the weights, determining the principal components decomposition of a weight matrix including the weights.

The invention relates to a computer-implemented method for generating test scenarios for testing a technical system, comprising the steps: a. providing a search space (10) (S1); wherein the search space (10) is defined by an operating design area (20), ODD; wherein the operating design area (20) comprises a plurality of elements (22); wherein the technical system is operated in the operating design area (20); b. generating at least one first test scenario based on the search space (10) (S2); wherein the at least one first test scenario comprises at least one first element of the plurality of elements of the operating design area (20), ODD; wherein the at least one first test scenario examines at least one corresponding dimension (12) of the search space (10); c. generating at least one associated first test result by executing the at least one first test scenario (S3); d.Evaluating the at least one associated first test result (S4); e. Generating at least one further test scenario based on the search space (10) taking the evaluation into account (S5); f. Repeating steps c. to d. with the at least one further test scenario and e. until the search space (10) is exhausted (S6); and g. Providing the at least one first test scenario, the at least one further test scenario and / or the corresponding test results (S7). Furthermore, the invention relates to a technical system and a corresponding computer program product.

The invention relates to a method for detecting a friction change in a supported shaft (126) of a technical system (100), in which a drive side and an output side of the technical system are connected by means of the shaft, and in which the shaft carries out a rotational movement during operation of the technical system, the method comprises: providing (200) operating variable information (202) relating to one or more operating variables on the drive side of the technical system during operation of the technical system; determining (210) a target value (212) of the rotational speed of the shaft during operation of the technical system on the basis of the operating variable information; determining (220) or providing an actual value (222) of the rotational speed of the shaft during operation of the technical system; determining (230) a difference (232) between the target value and the actual value of the rotational speed of the shaft; and determining (240), based on the difference, whether a friction change (242) of the shaft is present and / or to what extent the friction change of the shaft is present.

A computer system is provided to assist a user in performing a task within a technical system. The computer system includes a user intent detection module configured to detect the user's intentions when interacting with the technical system, a user request clarification module configured to determine chat texts to assist the user in the task, and a task assistance module.The task assistance module is configured to receive information from the user, in which the information relates to one or more natural language chat messages and / or an observation of the user's interaction with the technical system, to determine, by applying the user intent detection module, a task execution process based on the information, and to interact, by applying the user request clarification module, with the user via chat messages in accordance with the process determined to assist the user in the task.

The invention proposes a computer-implemented mobile orchestration instance (2) which is designed a) to define task types (3, 3a), wherein the task types (3, 3a) each comprise a sequence of work steps (5, 6) and associated parameters (4, 7, 8) which are necessary for a mobile device of a process system of a specific type to implement a specific transport operation and / or handling operation, b) to instantiate one or more of the task types (3, 3a) as an executable software instance (4, 7, 8) as part of the computer-implemented mobile orchestration instance (10) in order to define one or more task services (9, 9a), c) to encapsulate the task services (9, 9a) as services (10a, 10b, 10c, 10d, 10e, 10f) according to the standard VDI / VDE / NAMUR 2658 which is valid at the time of the present patent application, and d) to integrate the encapsulated task services (9, 9a) into a computer-implemented orchestration instance (1) using an OPC UA server (12) provided by the computer-implemented mobile orchestration instance (2).

The invention relates to a computer-implemented operator training environment for a technical system, which environment is designed to: - receive a system configuration of the technical system; - generate a basic operator training scenario including a system configuration of the technical system; - automatically acquire or receive a sequence of operating actions performed by one or more operators of the technical system in order to derive and generate a specific operator training scenario from the basic training scenario; - receive an updated system configuration; - newly generate the basic operator training scenario including the updated system configuration; and - generate the specific operator training scenario by applying the recorded sequence of operating actions to the newly generated basic operator training scenario.

According to various embodiments, a method for verifying the information security and / or operational safety of a technical system is described, comprising receiving architectural information about the technical system, wherein the architectural information includes information about a hierarchy of the functional parts of the technical system, extracting keywords that identify functional parts of the technical system and, for each keyword, hierarchy information that specifies a position of the functional part identified by the keyword in a hierarchy of the functional parts of the technical system, generating, for each keyword, an embedding of the keyword and associated hierarchy information, feeding the generated embeddings into a machine learning model that is trained toGenerating Threat Analysis and Risk Assessment (TARA) information for the technical system based on the embeddings, and verifying the information security and / or operational safety of the technical system using the TARA information generated by the machine learning model.

With reference to technical systems there is disclosed a coating for a steel strip, a coated steel strip, a method for producing the coating, and an air-handling system with the coating. The coating has a zinc layer for placement directly on the surface of the steel strip and a copper layer arranged on the zinc layer. The copper layer has formed with openings. The zinc layer is only partially covered by the copper layer.

The invention belongs to the technical field of digital substations of electric power systems, and particularly relates to an automatic acquisition and checking method for an SCCD model in a grid-connected implementation process, which comprises the following steps of: constructing an integrated technical system of multi-source acquisition, difference comparison, format conversion and automatic filing; the stock device analyzes SSH / SNMP / API protocol data by configuring a translation conversion tool; checking the acquired data and the SCCD model constant value by adopting a constant value comparison and intention comparison two-dimensional mechanism; converting the non-standard data into an IEC61850 XML format through a configurable mapping grammar; and generating and filing an SCCD-plus model file after the check is passed, thereby providing support for grid-connected auditing, operation and maintenance of the transformer substation.

The invention relates to a chiplet architecture (2) for a technical system (1), comprising the following chiplets (3): - a system management controller (4) of the technical system (1), - an artificial intelligence hardware accelerator (5) for applications, - a central processing unit (6) for applications of the technical system (1), - an internal graphical processing unit (7), and - a working memory (8).

Structural unit for enabling temporary measurements in existing technical energy or supply structures, characterized by, that the structural unit, as an independent, physically formed unit of an existing technical system, is designed to provide a measurement capability by which at least one measurable quantity of the existing technical system can be temporarily recorded by an external measuring device, wherein the structural unit is designed to be functionally neutral in normal operation, is systemically prepared to enable temporary measurement and has at least one physically accessible contact, connection or tap point for detachable connection with the external measuring instrument.

A computer-implemented method for testing an, in particular, safety-relevant, technical system, in particular including software and / or hardware components. The method includes the following steps: providing a model of the technical system; providing a set of requirements to the technical system; converting a particular requirement into at least one formal expression of at least one formal logic, the formal logic being selected from a logic set, which includes at least two formal logics, based on properties of the requirements; checking whether a particular requirement has been met by the model, the checking taking place by carrying out at least one program solver for a particular formal expression.

Device and method, in particular a computer-implemented method, for determining the effect of features of an object, in particular a workpiece, on a result of the operation of a technical system (104) for influencing the features, in particular a production line, for example for detecting a deviation of a physical property of the object (102) from a target property or a cause of the deviation, wherein measured values ​​are provided for the object (102), in particular measured on the object (102), wherein a data set is provided which includes measured values ​​provided for other objects, wherein the measured values ​​each quantify one of the features of the respective object, wherein graphs are determined depending on the measured values ​​which characterize a causal relationship of the features,wherein, depending on the measured values ​​and depending on the graphs, an estimation rule for estimating the effects of the features whose relationship is characterized by the respective graph is determined for each graph, wherein for at least one subset of the features, for the features from the subset, the prediction of the effects of the other features from the subset on the respective feature from the subset is determined with a model for predicting the effect of the other features from the subset on the respective feature from the subset, depending on the estimation rule for the graph(s) that characterize the causal relationship of the features from the subset, and wherein, for at least one feature from the subset, the effect of the other features is quantified depending on the predictions determined with the model for the at least one feature.

The invention relates to a method (100) for dividing components (2) of a technical system (1) into groups (3), comprising the following steps: - Providing (101) a defined set of components (2) of the technical system (1), wherein the components (2) are interdependent, - Modeling (102) the technical system (1) in the form of a graph (11), wherein the components (2) form nodes (12) of the graph (11) and the dependencies between the components (2) form edges (13) of the graph (11), - Using (103) a machine learning model (50) to determine information for a subdivision of the components (2) into groups (3) based on a relatedness of the components (2), - Performing (104) the subdivision of the components (2) into groups (3) based on the relatedness of the components (2) and at least one defined target criterion and further on the basis of the specific information of the machine learning model (50), wherein an algorithm is used for performing (104) the subdivision which does not include machine learning. Furthermore, the invention relates to a computer program, a device and a storage medium for this purpose.

The invention relates to the field of power supply control, and discloses an unmanned power supply plugging system for a refrigerated container, which is used for establishing a technical system for physical mechanism driving, autonomous evolution and invalidation immunity. Comprising the steps of collecting a container vertical temperature gradient field, a plugging mechanism vibration spectrum and a power supply line current differential value, and generating a dynamic coupling data set; predicting a temperature sudden change time point and a hot spot position based on the data set, and generating a segmented energy envelope function in combination with the container volume and the target temperature; and according to the function, the optimal motion track of the mechanical arm is planned, closed-loop plugging operation is executed, and energy consumption is fed back in real time. And when the accumulated energy consumption exceeds 95% of an energy envelope threshold value, graded braking is triggered, first-stage braking is based on energy consumption early warning, second-stage braking responds to mechanical shock abnormity, and the safety margin coefficient is dynamically adjusted. According to the invention, the safety of cold-chain transportation is obviously improved, the service life of equipment is prolonged, the system is suitable for unmanned ports, cold-chain logistics and other scenes, and efficient, accurate and safe power supply plugging automation is realized.

A computer-implemented method for verifying and / or validating whether a technical system fulfills a desired criterion with a predefined probability. The technical system emits output signals based on input signals supplied to the technical system. The method includes: obtaining models for components of the technical system and connections between the models; obtaining test outputs for the models based on test inputs of the models and the connections between the models; determining an upper or lower bound of an output of the technical system; verifying and / or validating whether the technical system fulfills the criterion with the predefined probability based on the determined upper or lower bound of the output.

The invention relates to a computer-implemented method for the autonomous execution of design tasks for the design of a technical system, which enables autonomous execution of the most suitable design task that can be solved with a given, pre-trained machine learning model.

The invention relates to a computer-implemented method and technical system for ensuring a quality standard for a code sequence (CS) generated with the aid of a generative AI model (LLM) to fulfill one or more features of a software application to be developed in a software development project, wherein the quality standard is defined by a minimum degree of fulfillment of this or these features, optionally according to their classification in the software development project. The method comprises the following steps, which can be executed in particular with the aid of at least one processor of the technical system (S): a) Extracting this / these feature(s) from artifacts of the software development project, classifying them if necessary, and relating them to each other if there are several features, whereby the quality standard is defined by a minimum degree of fulfillment of this or these features, possibly according to their relation to each other and possibly according to their classification in the software development project; b) Providing one or more rejected code sequence examples in a memory (REP) derived from the information obtained in step a) that fall below the specified minimum level of fulfillment and / or that result from previously rejected code sequences generated by the generative AI model; c) Enriching at least one captured prompt (P), which initiates the generation of the code sequence by the generative AI model, with context formed from the one or more extracted features and with the one or more sorting examples, and applying the at least one enriched prompt to the generative AI model; d) Capturing the code sequence generated using the enhanced prompt and evaluating the generated code sequence based on the quality scale; and e) Outputting the generated code sequence if the result of the evaluation from step d) is positive, by meeting or exceeding the specified minimum level of fulfillment.

Provided is a tool for monitoring a complex technical system having at least one diagnostic user and a plurality of system users, the tool having:a first diagnostic component for a first diagnostic user, the first diagnostic user component comprising: a first communication interface for selectively communicating with multiple system users and having a filter for sorting communications with individual system users into individual conversation streams, wherein individual communications are assigned time stamps;a first communication display interface for selectively displaying an individual conversation stream relating to an individual system user as a continuous sequence wherein the first communication interface portion is arranged to update in response to further communication a first parameter display interface for displaying technical system parameters in a first subset of monitored parameters relating to the individual system user's technical configuration status and usage history;a first parameter configuration interface arranged to permit the first diagnostic user to adjust a first set of adjustable user parameters;technical event identification logic arranged to identify technical events or changes in parameters in a second subset of monitored parameters relevant to an individual system user's interaction with the system;event description logic arranged to generate a textual description for each identified technical event;hybrid conversation logic to insert the generated textual descriptions in sequence into the individual conversation stream based on the technical event time and the timestamps of communications with the individual user.

A method for diagnosing a technical system, an apparatus, and a computer program product are provided for carrying out a main component analysis of predefined values for n variables for describing a normal state of the technical system, where n≥2, and at least one main component of the n variables is ascertained. The at least one main component is predefined for describing the normal state of the technical system. Deviations of values for the n variables for describing a current state of the technical system are ascertained from the at least one predefined main component for describing the normal state, in order to infer a fault. A data carrier is also provided.

Modular connection unit for the detachable functional coupling of at least two technical modules within a technical system, characterized by that the connection unit is designed as an independent module and provides an architecture-defined interface, via which at least energy and data are transferred between the coupled modules, wherein the connecting unit is designed independently of a central support plane, a backplane, a midplane, a chassis or a housing and enables the coupling of the modules in a topology-open manner without a predefined spatial arrangement.

An operating signal is fed to a first machine learning module to reproduce a behavior signal of a technical system, the behavior signal occurring specifically without the current use of a control action and output the reproduced behavior signal as a first output signal. The first output signal is fed to a second machine learning module to reproduce a resulting behavior signal using a control action signal and output the reproduced behavior signal as a second output signal. Furthermore, an operating signal is fed to a third machine learning module, and a third output signal is fed to the trained second machine learning module. A control action performance ascertained using the second output signal, and the control action performance is used to train the third machine learning module to optimize the control action performance. By training the third machine learning module, a control device controls the technical system.