58results 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.

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.

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 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.

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.

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.

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.

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.

The present invention relates to an electric drive arrangement, in particular for an e-bike. An inner part of the electric drive comprises a sensor, and a measurement element which can be coupled to a freewheel. The measurement element is arranged in the region of an axle of a running wheel and the sensor performs a function which measures drive support. Furthermore, the inner part of the electric drive is protected against external unwanted influences by a housing consisting of two cover bodies. This housing is screwed to a running wheel of the e-bike by means of a support element. The radial movement of the axle is ensured by two bearings. The electric drive is connected, as a complete component, to the pedals of the e-bike via a belt or chain by way of a freewheel.

The proposed computer-implemented method has the following aspects: the load control transmits current temperature measurement data of the electronic component to the temperature regulation and temperature simulation systems; current load measurement data and temperature measurement data of the electronic component are also transmitted to the AI-based load prediction and AI training. Extending the service life is prioritized over immediate efficiency maximization, as service life has become a critical design criterion in all electronics. This is achieved through temperature regulation of the electronic component via load control and optionally active thermal management.

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.

A camera captures an image of a portion of a cart and accesses stored maps that map visual features of carts to a set of settings that are applied to an automatic fill control system. A map that matches visual features of the cart, in the captured image, is identified and the settings in that map are applied to the automatic fill control system.

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 is proposed for monitoring the performance of an aircraft door closure control system. The door is equipped with a plurality of proximity sensors that measure distance values ​​(from which logical values ​​are obtained and used to control the door's closure state based on a logical combination of logical values ​​with logical operators). The method comprises: obtaining (801) the distance values; calculating (803) a value for a performance indicator of the door closure control system, based on a combination of mathematical functions that take the distance values ​​and are a transposition of the logical combination in which each type of logical operator is replaced by a specific mathematical function; and triggering (805, 807) an alert if a condition (804, 806), a function of the indicator value, is met. Figure to be published with the abstract: Fig. 8

Techniques for generating a personalized reference sequence construct for an individual to align sequence reads obtained for the individual. The techniques include: obtaining a plurality of sequence reads for an individual; obtaining information identifying a plurality of locations; genotyping the plurality of sequence reads for the plurality of locations to obtain a first set of variants for the individual for at least some of the plurality of locations; identifying a second set of variants associated with the first set of variants; generating a personalized reference sequence construct using the second set of variants; and aligning the plurality of sequence reads to the personalized reference sequence construct.

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 simulator (SIM) for determining simulated performance quantities (PRS) for design variants of the product (P) and a machine learning module (BNN) to be trained to determine predictive performance quantities (PRP) and their uncertainties (UC) are provided. Furthermore, a multitude of design data records (DR) each specifying a design variant are generated. A respective design data record (DR) is fed into the machine learning module (BNN), and / or the corresponding design variant is simulated. Using simulated performance quantities (PRS) as training data, the machine learning module (BNN) is trained in disjoint training phases (TP1, TP2, TP3). Between the disjoint training phases a correction factor (CF) for uncertainties (UC) determined by the machine learning module (BNN) is derived by means of simulated performance quantities (PRS). The correction factor (CF) is used to correct future uncertainties (UC). The corrected uncertainties (UC') are then used to decide whether to run or to skip a simulation. Accordingly, a performance value (PV) is derived from the simulated performance quantity (PRS) if the simulation is run, or otherwise from the predictive performance quantity (PRP) determined by the machine learning module. Depending on the generated performance values (PV), a performance-optimizing design data record (ODR) is determined from the generated design data records (DR). The performance-optimizing design data record (ODR) is then output for controlling the production plant.

The invention provides an equipment monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a current state of a target scene corresponding to target equipment after the target equipment is controlled, and determining an expected state for the target scene; when the current state is not matched with the expected state, obtaining a target device weight of the target device, and determining a duration in which the current state is not matched with the expected state; determining distance information between the user and the target equipment; and determining deviation degree information of the target equipment according to the weight, the duration and the distance information of the target equipment, and monitoring the target equipment according to the deviation degree information. Through the embodiment of the invention, the accidental abnormal phenomenon and the continuous deviation state can be effectively distinguished on the basis of the multi-dimensional parameters, the running state of which equipment in the current scene control better meets the current actual demand can be intelligently judged, and more intelligent user experience can be brought to a user.

A method for obtaining information about a quality of combustion of a liquid in a chemical recovery boiler. The method comprises inputting a value of a first input parameter to a computational model configured to determine a value of the quality of combustion of the liquid in the chemical recovery boiler based on the value of the first input parameter, and first running the computational model to obtain a first modeling result. The method comprises measuring a value indicative of a carryover from the chemical recovery boiler to obtain a measurement result, comparing the first modeling result to [a] the measurement result or [b] a result derived from the measurement result to obtain a primary comparison result, and adjusting the value of the first input parameter based on the primary comparison result to obtain an adjusted value of the first input parameter. The method comprises inputting the adjusted value of the first input parameter to the computational model, and second running the computational model to obtain the information about the quality of combustion of the liquid in the chemical recovery boiler.

The invention relates to a measurement transducer (1) for a field device used in metrology and automation (2) for processing a measurement signal from a sensor (3) and providing measurement values of at least one process variable, comprising: - a housing (4) having a housing body (5), which has in the housing interior thereof at least one housing chamber (6), which is enclosed by a housing wall (7), - an electronics unit (10) having at least one electronics module (11i), which has in each case a module holder (12i) and at least one electronics component (13i) arranged in the module holder (12i), characterized in that the module holder (12i) has an, in particular fully, electrically conductive module holder body (14) and is designed to shield the at least one electronics component (13i) from unwanted electrical or electromagnetic effects.

A utility sensor module includes one or more sensors and an electronic processor. The electronic processor is configured to receive a pause mode command and initiate a pause mode timer at a first predefined timer value in response to receiving the pause mode command. The electronic processor is further configured to change an operating mode of the utility sensor module to a pause mode, wherein operation in the pause mode causes the sensor module to not generate an alarm when a parameter sensed by the sensors exceeds a predetermined threshold. The electronic processor is also configured to transmit a signal to a utility system indicating that the operating mode has been changed to the pause mode and determine whether the pause mode timer has expired. In response to determining that the pause mode timer has expired, the electronic processor changes the operating mode to a normal operation.

Methods for controlling a converter includes operating the converter to produce glass articles from glass tubes, where the converter includes a plurality of processing stations and operating the converter includes translating the glass tubes through the processing stations in succession. The methods include measuring an attribute of the glass articles during or after conversion, developing an attribute distribution from measured values of the attribute, and shifting the attribute distribution within a specification range for the attribute. Shifting the attribute distribution within the specification range increases a yield of the glass articles. A system for converting glass articles from glass tubes includes a converter, a measuring device, a control device, and a control system operable to execute portions of or all of methods disclosed herein for controlling the converter.