111results about "Element comparison" patented technology

A diagnostic method localizes technical faults in a motion system that includes a base adapted to receive a motion stage for equipment, a machine frame resting on the floor, dampers adapted to support the base, and an active isolation system arranged between the base and the machine frame. The active isolation system and the base form a mechanical system. The active isolation system includes actuators, adapted to impart six degree-of-freedom (DOF) motion to the base in a reference frame, and inertial sensors adapted to provide a six DOF measurement of the base's motion. The method includes: i) applying a control signal for actuating or contributing to the actuation of the actuators of the active isolation system to impart a motion to the base; ii) obtaining, with the inertial sensors, a six DOF measurement of the base's motion relative to a reference point; iii) creating a measured process sensitivity matrix of the mechanical system using the six DOF measurement; and iv) determining, based on the measured process sensitivity matrix, whether all the actuators and sensors of the active isolation system are working as expected and / or whether there is a pivot point impeding the movement of the base.

Systems, apparatus and methods for automatically testing security alarm devices are disclosed according to various embodiments. In one example, a disclosed system comprises: a plurality of test chambers coupled on a frame, wherein each of the test chambers is configured to house a corresponding one of a plurality of security alarm devices to be tested; and a test computer coupled to the frame, wherein the computer has a processor and a non-transitory computer readable storage medium for automatically testing the plurality of security alarm devices at the same time using a test software, wherein each of the plurality of security alarm devices is connected to the test computer.

To provide a technology of guaranteeing safety of an output of a control object under a requirement that a model error and constraint requirement are present in a control system that controls the control object.SOLUTION: A control system includes a target determination machine that uses a condition observation machine, which observes a condition of a control object including a model error expressed with formulae (3) and (4) and estimates disturbance expressed with a formula (5), and an optimization problem, which takes account of a linear inequality constraint concerning an input target, an estimate value of disturbance, and an outside signal, to correct the input target and determine a correction input target, and that is expressed with formulae (6) and (7), and a controller that controls a control object, uses the correction input target determined by the target determination machine to control the control object, and is expressed with a formula (9). α included in the formulae (3) and (5), β included in the formula (6), and γ included in the formula (9) are determined at each time.SELECTED DRAWING: Figure 1

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc.) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

The invention relates to a computer-implemented method comprising the following aspects: the load controller transmits current temperature measurement data of the electronic component to the temperature regulation and to the temperature simulation; current load measurement data and temperature measurement data of the electronic component are also transmitted to the AI-based load prediction and to the AI training. Priority is given to extending the lifetime rather than to immediate efficiency maximisation, since lifetime has become a critical design criterion throughout the electronics sector. For this purpose, the temperature of the electronic component is regulated by means of the load controller and optionally by active thermal management.

The invention provides an analog card, a driving system and a nuclear power station instrument control system. The analog card comprises a signal conversion module and a constant value comparison module. The first input end of the signal conversion module is connected with an external current signal, and the output end of the signal conversion module is connected with the first input end of the constant value comparison module; the signal conversion module is used for converting the external current signal into a voltage signal within a preset range and outputting the voltage signal to the constant value comparison module; and the constant value comparison module is used for receiving the voltage signal output by the signal conversion module, comparing the voltage signal with a preset voltage threshold, and outputting a driving signal when the voltage value of the voltage signal exceeds the preset voltage threshold. In the analog card, all devices are analog devices, a digital chip is abandoned, and the influence of network attacks can be effectively avoided.

Computer-implemented method (100) for a system comprising a remote control (200) for controlling an external device (300) and the external device (300), comprising the steps: Receiving (110), by means of the remote control (200), a first control input from a user (600) characterizing a first remote control command for remotely controlling the external device (300), wherein the first remote control command is designed to control at least a first unit (341) of a plurality of units (341-343) of the device (300) by means of the device (300); Determining (120) a first latency associated with driving the first unit (341) and the first remote control command; modifying (130) the first remote control command based on the first latency and an exceeding of a latency threshold predetermined for the first unit (341) of a plurality of latency thresholds for the plurality of units (341-343); Controlling (140), by means of the device (300), the first unit (341) based on the modified first remote control command, wherein the device (300) is a vehicle, wherein modifying (130) the first remote control command: - modifying a parameter of the first unit (341) associated with the control; - changing the parameter to a predetermined first parameter value; - changing the parameter by a predetermined second parameter value; and / or - includes preventing the control.

A measurement data processing system for providing measurement variables to an automation system comprises a first communication network (KN1) with real-time (EZ), a second communication network (KN2), a process control unit (PS) connected to the first communication network (KN1), and a server platform (SP) with a computer unit (CE), a first communication interface (S1), and a second communication interface (S2). The server platform (SP) is connected to the first communication network (KN1) via the first communication interface (S1) and to the second communication network (KN2) via the second communication interface (S2) and is configured to send and / or receive data (D) in real-time (EZ).At least one field device (F1, F2) is configured to acquire measured values ​​(MW) of a measured quantity and transmit these values ​​to the process control unit (PS) via the first communication network (KN1) and to the server platform (SP) via the second communication network (KN2). Based on the transmitted data (D), the computer unit (CE) generates at least one status information (ZI) about the process and / or the field device (F1, F2), which is transmitted to the process control unit (PS) in real time (EZ) and processed there.

A robotic work tool system comprising at least one robotic work tool arranged to operate in a work area, the robotic work tool comprising at least one sensor and a communication interface, the robotic work tool being configured to establish a connection to a cloud service through said communication interface; receive data gathered by the at least one sensor and transmit the gathered data to the cloud service causing the cloud service to analyze the gathered data; receive operating data from the cloud service; and to operate at least one robotic work tool based on the operating data received from the cloud service.

The invention relates to a method for configuring a steering system (101), in particular a steer-by-wire system, of a vehicle (100), wherein the steering system (101) comprises at least one steering gear (10) and one force feedback actuator (20) which are connected to each other via a communication link (K), characterized in that demonstrating the procedure: - Starting the steering system (101), - Capturing a startup version (SV1) for a configuration (K1) of the steering gear (10) and a startup version (SV2) for a configuration (K2) of the force feedback actuator (20), in particular via the communication link (K), - Comparing the initial version (SV1) for the configuration (K1) of the steering gear (10) and the initial version (SV2) for the configuration (K2) of the force feedback actuator (20), - Determining a working version (AV1) for the configuration (K1) of the steering gear (10) depending on and a working version (AV2) for the configuration (K2) of the force feedback actuator (20) depending on the comparison, - Operating the steering system (101) with the working version (AV1) for the configuration (K1) of the steering gear (10) and with the working version (AV2) for the configuration (K2) of the force feedback actuator (20).

A computer-implemented method for controlling operation of a fluid delivery system by applying a self-learning control process, the method comprising: receiving values of a plurality of obtained input signals during operation of the fluid delivery system during a first time period, wherein operation of the fluid delivery system during the first time period is controlled by a predetermined control process; automatically selecting a subset of the plurality of input signals based on the received values of the plurality of obtained input signals; receiving values of at least the selected subset of input signals during operation of the fluid delivery system during a second time period, wherein operation of the fluid delivery system during the second time period is controlled by applying the self-learning control process, wherein the self-learning control process is configured to control operation of the fluid delivery system based on only the selected subset of input signals, and wherein applying the self-learning control process comprises updating the self-learning control process based on the received values of the selected subset of input signals and based on at least an approximation of a performance index function.

A biogas optimization system, including a machine learning model trained to identify features indicative of biogas production based on past biogas production and the composition and flow of past substrates provided to a digester. Using the machine learning model, the biogas optimization system predicts biogas production from a digester in view of the composition of substrates provided to the digester (determined, for example, using sensor data from diffuse reflectance detectors). Some embodiments also predict an optimal composition of the digester for optimizing biogas production (e.g., optimal percentages of lipids, protein, and / or carbohydrates) and adjust the flow and / or volume of a substrate to the digester. To predict the optimal composition of the digester, the machine learning model may also be trained on a physics-based model of the anaerobic digestion processes (e.g., Anaerobic Digestion Model No. 1 (ADM1)) and / or data captured during laboratory simulations of the anaerobic digestion processes.

The invention relates to a method for automatically calibrating a container handling system (1), such as a filling system, wherein the container handling system comprises several successive machines (2-12) through which containers, such as plastic or glass bottles or cans, pass along a transport path (13). Each machine is assigned at least one sensor (14-34) for detecting containers.The method comprises initially placing containers into the container treatment system and transporting the containers through the container treatment system along the transport path, recording sensor data from the sensors assigned to the machines and recording operating data of the machines, evaluating the sensor data and the operating data to generate calibration data, generating the calibration data, and using the calibration data for subsequent operation of the container treatment system in an operating mode. The invention further relates to a container treatment system for carrying out the method.

The invention relates to a control system for a motor operating a roof assembly, including a speed controller, a current controller, a motor and a performance feed forward module. The control system is configured for receiving a speed setpoint as input, feeding back a speed signal, and determining a speed error. Providing a current setpoint and feeding back a current output to the current setpoint, and providing a current error signal to the current controller. Feeding back a relative position signal and feeding forward, based on at least one performance profile determined from an absolute position signal, a current feed forward signal to the current setpoint. And generating, based on the current error signal and the relative position signal, a drive signal for driving a motor. The current error signal is based on the current setpoint, the current feedback and the current feed forward.

Systems, apparatus and methods for automatically testing security alarm devices are disclosed according to various embodiments. In one example, a disclosed system comprises: a plurality of test chambers coupled on a frame, wherein each of the test chambers is configured to house a corresponding one of a plurality of security alarm devices to be tested; and a test computer coupled to the frame, wherein the computer has a processor and a non-transitory computer readable storage medium for automatically testing the plurality of security alarm devices at the same time using a test software, wherein each of the plurality of security alarm devices is connected to the test computer.

The present invention accurately determines an abnormality occurring in a control system. This abnormality detection assistance device comprises: a storage unit that stores waveform data at the time of an abnormality in association with an operation method of a device corresponding to the waveform data at the time of the abnormality for each abnormality cause regarding a system including a device to be controlled; an identification unit that acquires measurement data when an abnormality probability equal to or greater than a prescribed threshold is calculated when an abnormality probability calculated by a first abnormality detection algorithm becomes equal to or greater than the prescribed threshold on the basis of measurement data measured during the operation of the system, and identifies the cause of the abnormality; and an output unit that outputs the identified cause of the abnormality.

A method of controlling an automatic swimming pool cleaner (308) includes comparing characteristics of at least two similar electromechanical devices (318A, 318B) of the automatic swimming pool cleaner to establish a normal relationship between the at least two similar electromechanical devices. The method includes identifying abnormal behavior of the automatic swimming pool cleaner based on a divergence from the normal relationship.

This invention discloses an adaptive adjustment method for a main-cable robot and the main-cable robot itself. The method includes: controlling two lateral crawling mechanisms to move relative to each other along the width direction of the main-cable robot; acquiring the distance between the two lateral crawling mechanisms and their corresponding main-cable handrails to determine the change in the spacing between each lateral crawling mechanism and its corresponding main-cable handrail; if the spacing between the lateral crawling mechanism and its corresponding main-cable handrail changes from decreasing to increasing, determining whether the lateral crawling mechanism has moved into position relative to the main-cable handrail; if it is determined that both lateral crawling mechanisms have moved into position, placing the two lateral crawling mechanisms of the main-cable robot onto the two main-cable handrails respectively. It can be understood that when the main-cable robot is placed downwards, the position of the lateral crawling mechanisms is adjusted along the width direction, and by detecting the change in the spacing between the lateral crawling mechanisms and the main-cable handrails, it is determined that the lateral crawling mechanisms have been approximately adjusted to a suitable position.

A novel digital system with smart padlock for lockout and tagout of hazardous energies, used in industrial equipment and systems and composed of hardware and software, is based on the digital LOTO (LockOut & TagOut) platform, a method that guarantees zero energy at the energy points of machines and equipment in industry, of the energies that enable the operation of a machine, in combination with the labelling and tagging of said lockout to identify who is carrying out the activity on the equipment.

A control method, an electrical device, and a storage medium (200). The control method comprises: on the basis of a plurality of actual zero-crossing signals of an alternating current of an electrical device, predicting an occurrence period of future zero-crossing signals of the alternating current, and establishing a virtual clock (01); during the operation of the electrical device, performing zero-crossing signal correction on the alternating current on the basis of the virtual clock, so as to obtain a corrected zero-crossing signal (04); and on the basis of the corrected zero-crossing signal, controlling the electrical device to operate (05).

The invention relates to a method, system, and computer-readable medium for monitoring the operation of a machine, in particular a machine in a production line for filling and packaging food and / or beverages. The method essentially comprises three steps: (i) determining the normal operating behavior of the machine, (ii) monitoring the ongoing operation of the machine, and (iii) issuing a message about a detected deviation. Determining the normal operating behavior includes acquiring data from at least one first servo-driven component over at least one servo cycle. This can, for example, be an angle-dependent power curve of the servo motor. During the monitoring of the ongoing operation of the machine, data from the at least one first servo-driven component are collected as operating data.These measured operating data are then compared with the measured data of normal behavior over at least one servo cycle, and any deviations between them are investigated. If a deviation exceeds a threshold, a message based on the deviation can be issued to an operator.

An air conditioning system (1) is provided with: an air conditioning apparatus (10) that has an air conditioning unit (13) for performing air conditioning operation and a control unit (11) for controlling the air conditioning unit (13); an inference data acquisition unit that acquires inference data (38) including an air conditioning environment (31), which is information about the environment in which the air conditioning apparatus (10) is installed; an inference device (35) that infers, from the air conditioning environment (31), proposal settings (39) that include at least two settings that match the manipulation preference of a user on the air conditioning apparatus (10); and a communication terminal (20) that remotely manipulates the air conditioning apparatus (10). The communication terminal (20) is provided with a display unit that displays a plurality of icons representing functions of the air conditioning apparatus (10). The control unit (11) causes the display unit to display proposal setting icons for performing the proposal settings inferred by the inference device (35), and when a manipulation of pressing a proposal setting icon is performed, the control unit (11) controls the air conditioning apparatus (10) in accordance with a proposal setting corresponding to the proposal setting icon.

The following disclosure relates to electrochemical cell and stacks and components thereof. More specifically, the following disclosure relates to components or systems configured to protect the degradation of an electrochemical cell or stack having a plurality of electrochemical cells. This may be accomplished by operating the cell or stack in a shielding state, instead of completely shutting down operation of the cell or stack. In the shielding state, the at least one electrochemical cell no longer receives enough voltage to generate gas via electrolysis, but still receives enough voltage to maintain a charged capacitance and protect the at least one electrochemical cell from depolarization or discharge.

A system may be configured to monitor surge relief. Some embodiments may: provide a surge relief valve; provide a set of instruments coupled to the surge relief valve and configured to output first and second data based on a prediction, each of the first and second data having a quality level satisfying a first criterion; provide a computer; and provide a non-transitory medium comprising instructions executable by the computer to report information based on the prediction that an operating characteristic of the surge relief valve is at an extent satisfying a second criterion.

A method for custom fitting and manufacturing parametric products comprises: generating a plurality of parametric models of a custom product based on past learned data pertaining to the custom product; generating a first user interface comprising at least a first graphical representation of the custom product, and displaying the first user interface on a computer display device; receiving a plurality of adjustment parameters for improving a fit of the custom product in relation to the user-specific data; based on the plurality of adjustment parameters and the plurality of parametric models, determining two particular parametric models; generating, for the custom product, a parametric fit model having a plurality of fit model parameters, by interpolating a corresponding parameter of a first particular parametric model and a corresponding parameter of a second particular parametric model of the two particular parametric models.

Systems, apparatus and methods for automatically testing security alarm devices are disclosed according to various embodiments. In one example, a disclosed system comprises: a plurality of test chambers coupled on a frame, wherein each of the test chambers is configured to house a corresponding one of a plurality of security alarm devices to be tested; and a test computer coupled to the frame, wherein the computer has a processor and a non-transitory computer readable storage medium for automatically testing the plurality of security alarm devices at the same time using a test software, wherein each of the plurality of security alarm devices is connected to the test computer.

The invention refers to an apparatus (110) for controlling a polyurethane foam recycling process. A data providing unit (111) provides measurement data associated with the foam product. The measurement data is indicative of a spectrum received from the foam product. An foam model providing unit (112) provides a machine learning based foam model for determining an isocyanate content and / or polyol content in the polyurethane foam product. The foam model has been trained utilizing historical training data to determine the isocyanate content and / or polyol content in a foam product based on the measurement data. An con- tent determination unit (113) determines the isocyanate content and / or polyol content in the foam product based on the foam model and the measurement data. A control data generation unit (114) generates control data for controlling the foam product recycling process based on the determined isocyanate content and / or polyol content.