275 results about "Technical systems" patented technology

An embedded control device can concurrently execute a number of control apps for controlling a technical system. The embedded device has a number of units, including: a broker unit configured to provide a message bus enabling serialized publish / subscribe topic-based communication between any of the control apps, the units, and the technical system. An updater unit is configured to: in response to a new instance of the broker unit being executed on the embedded control device in addition to the old instance of the broker unit, publish an update topic on the message bus; and cause a handover of control from the old instance to the new instance by transmitting a switch command in the update topic on the message bus. There is also described a method for updating a broker unit of an embedded control device and a computer program product. The broker unit can be updated without downtime.

A method and device for hierarchically planning executions of operation sequences achieving goal states of technical system workflows and checking them through system simulation or system hardware execution is provided. To hierarchically plan executions of operation sequences achieving goal states of technical system workflows and checking them, it is proposed to implement a goal-state-specifying-process, wherein <1> for a workflow of a technical system a workflow related planning domain is given, <2> a workflow related goal state is specified, <3> a planning task is defined, and <4> by a planning approach <4a> executions of the at least one selected planning operator are checked iteratively in order to find a full plan, and <4b> when in <4a> the full plan is found, the executions of the found full plan achieving the goal state are checked iteratively by a secondary query loop until the goal state is achieved.

According to various embodiments, a method for configuring a technical system to be configured is described, comprising acquiring reference observations, conditioning reference system models to the reference observations acquired for the reference system, and acquiring, for the technical system to be configured, observations of results of the technical system to be configured for different values ​​of the configuration parameters;Adapting an a priori model for the relationship between the values ​​of the configuration parameters and the results delivered by the technical system to be configured to the observations recorded for the technical system to be configured, wherein the a priori model is formed from a weighted combination of the conditioned reference system models; determining an a posteriori model for the relationship between the values ​​of the configuration parameters and the results delivered by the technical system to be configured by conditioning the adapted a priori model to the observations recorded for the technical system to be configured; and configuring the technical system to be configured using the determined a posteriori model.

The invention provides a large-span steel corridor structure high-precision assembling method, and belongs to the technical field of building construction, and the method comprises the step of constructing an accurate and reliable structure assembling technical system through deep fusion of a building information model and a three-dimensional space coordinate system. According to the method, a laser positioning instrument and a multi-stage torque sensor are introduced for the first time, and accurate positioning of the steel member and fine control of bolt torque are achieved. From a pre-assembly site, component installation is conducted layer by layer through an axis control net and an angular point control net, and a staged bolt fastening strategy is adopted and comprises initial tightening torque control, semi-tightening torque control and final tightening torque control. In the assembling process, finite element analysis software is used for conducting multiple times of structure checking calculation, the space position error and the structure stability are strictly monitored, and the geometric accuracy, the connection reliability and the overall performance of the large-span steel corridor structure are ensured. According to the method, the problem that large accumulative errors are inevitably caused by the fact that manual measurement and mechanical limiting modes are generally adopted for positioning and connection at present is solved.

A computer-implemented method for predicting load profiles of load variables of a component (2) to be monitored of a technical system (1, comprising the following steps: - Providing historical load time series for multiple loads, wherein the loads are quantities on which a measure of aging or degradation of the component (2) being monitored significantly depends; - Subdividing the historical load variable time series into successive load variable time windows (f1([;tsp]), f2([;tsp]), ..., fx([;tsp])) with a number of consecutive values; - Evaluating the successive load size time windows (f1([;tsp]), f2([;tsp]), ..., fx([;tsp])) using a data-based prediction model (10).

The invention relates to a synchronous removal deep foundation pit for deeply burying large waste rafts in a sensitive environment and a construction method. Comprising a prefabricated assembly type trestle plate step-by-step reinforced concrete supporting trestle technical system, a steel casing and rapid prefabricated assembly type water collecting pit setting technical system, a waste bottom plate block-by-block breaking-first-cutting-crushing-dismantling technical system and a reserved pile filling hole position segment-by-segment block-by-layer backfilling technical system. The construction method has the beneficial effects that rapid construction of the reinforced concrete supporting trestle is achieved, the structural stability is guaranteed, and the construction efficiency is improved; high efficiency and quality control of construction of the stand column pile are achieved, meanwhile, the concrete over-filling amount is reduced, and the construction economical efficiency is improved; rapid setting and automatic management of the sump are realized, and the construction efficiency and the reliability of a drainage system are effectively improved; safe and efficient dismantling of the waste bottom plate is achieved, the construction precision is guaranteed, and the operation efficiency is improved.

The invention relates to a water-rich thick sand layer combined anti-streaming ultra-deep underground diaphragm wall and a construction method thereof. Comprising a slurry stopping iron sheet pre-opening technical system, a joint box side wall long sand bag sand flushing gap backfilling and compacting technical system, a back profile steel and ballasting combined bottom anti-streaming technical system, a fore shaft pipe and sand bag matched filling anti-streaming technical system and an underground diaphragm wall profile steel joint wall brushing technical system. The construction efficiency of the water-rich thick sand layer combined anti-streaming ultra-deep underground diaphragm wall can be improved, and the engineering quality and safety are guaranteed.

A method, performed by one or more processors, may comprise receiving a query for performing one or more computational operations on one or more multi-dimensional data sets representing multi-dimensional time series data collected in real-time from one or more sensors associated with one or more technical systems. The method may also comprise identifying the location of the one or more multi-dimensional time series data sets in one or more databases, retrieving the one or more multi-dimensional time series data sets from the identified one or more databases, and performing the one or more computational operations on the retrieved one or more multi-dimensional time series data sets. The method may also comprise generating output based on the result of the one or more computational operations indicative of one or more states of the one or more technical systems with respect to time.

The presently disclosed subject matter provides a state-space model composed of one or more neural networks. The state-space model is configured to randomly model the technical system by modeling uncertainty in both hidden states of the technical system and weights of the one or more neural networks. Thus, the state-space model may be capable of capturing both accidental uncertainty (inherent unpredictability in observations) and cognitive uncertainty (uncertainty in parameters or weights of the model). During training and subsequent use for model predictive control, moment matching across neural network layers is used, which can ensure that the predictions of the model are consistent and close to real system behavior. The above measures can improve the control and security of many technical systems.

A method for calculating a parameterization of a controller for a technical system. The method includes: determining a characteristic of the controller, wherein the characteristic includes at least a description of a structure of the controller and at least one differential equation to represent a dynamic behavior of the technical system; defining an objective function which is based on at least one requirement for a safety characteristic and / or for a performance characteristic of the controller and / or of the technical system; formulating an optimization problem, wherein the optimization problem is formulated on the basis of the objective function and at least one additional condition, wherein the at least one additional condition ensures at least one restriction of at least one state of the technical system; calculating the parameterization of the controller based on the determined optimization problem.

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.

The invention relates to a method for remotely measuring and / or remotely controlling an operating state (28) of at least one technical system (9) by means of a telemetry device. In order to determine the operating state (28), at least one state variable (29) of the system (9) characterizing the operating state (28) is determined by acquiring (31) raw measurement data (30, 30') for a respective state variable (29) via at least one measuring sensor (3, 3') of the telemetry device and processing this raw measurement data (30, 30'). At least part of the processing comprises final processing (33) to produce final measurement data (34) for a respective state variable (29) by a data management module (4) of the telemetry device.The final processing (33) is performed by the data management module (4) using artificial intelligence, wherein, in particular, final measurement data (34) forming characteristic values ​​of a respective state variable (29) and / or characteristic values ​​of a respective state variable (29) are determined from final measurement data (34) and / or from intermediate measurement data (35) which were preprocessed (32) from the raw measurement data (30, 30'). Furthermore, the invention relates to a telemetry device for implementing the method.

The invention relates to project management of construction enterprises, in particular to an engineering project technology management system which is particularly suitable for technical management in project-enterprise integration. The invention aims to standardize technical system management of enterprises, improve working efficiency and settle technical basic data, and provides a system suitable for enterprise-level and project-level construction technical management. According to the engineering project technology management system, the platformization of daily technology management is realized through 19 functional modules of the platform, and each functional module is linked with project-level and enterprise-level approval processes. Firstly, technicians of a project can quickly master standards and requirements of various functions, templates can follow the standards and requirements, and the working efficiency and the working quality are improved; technical management data of the project can be stored in a database, and traceability is high; thirdly, the technical basic data logicality is high, and errors are avoided; 4, project technical data can be shared in real time; and fifthly, the enterprise background can monitor the project in real time.

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).

The invention relates to a method for checking the plausibility of a stochastic test solution for a measured variable of a technical system. The invention further relates to a computer program, a device, and a storage medium for this purpose.

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).

Implementations herein relate to information describing one or more internal states of a technical system. Implementations herein are provided for characterizing reliability of various different third party servers, at least when reporting third party device statuses, as well as adapting protocols for device ecosystems affected by such reliability. Latency can affect accuracy of device states represented by assistant devices. Certain servers can be characterized as especially delayed when reporting an updated device state in response to a user request, and, as a result, the third party server can be correlated to a metric that characterizes the relative latency of the third party server. When the metric fails to satisfy a particular threshold, a server and / or client associated with the “ecosystem” of third party devices can affirmatively operate to retrieve device state updates, rather than passively await updates from a corresponding third party server.

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.

A component of the technical system, a component designation and a characteristic parameter designation for a characteristic parameter of relevance to the design of the components are read and a search engine is queried with same is provided. The documents found by the search engine are read and component information, e.g. product information concerning a specific component, is extracted from said documents. The extracted component information is supplied to a machine learning routine which has been trained, using a plurality of predefined training component information and training characteristic parameter values, to reproduce predefined training characteristic parameter values using predefined training component information. Output data from the machine learning routine is selected as characteristic parameter values and inserted into a planning data record. The planning data record is then output to design the technical system.

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.

A method for controlling a technical system, in particular of a motor vehicle.

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.