38results about "Element comparison" patented technology

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.

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 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).

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.

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 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.

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.

An example of an apparatus is provided. The apparatus includes a memory storage unit to maintain a database of unique identifiers. In addition, the apparatus includes an antenna to transmit a radio frequency signal and to detect a response signal from a RFID tag. Furthermore, the apparatus includes a reader device to extract a scanned identifier associated with an asset from the response signal The apparatus also includes a comparator to compare the scanned identifier with the unique identifiers in the database to determine if the scanned identifier matches one of the unique identifiers. The comparator adds the scanned identifier to the database when the scanned identifier does not match one of the unique identifiers. The apparatus also includes a notification engine to generate an alert when the scanned identifier is added to the database.

The present invention relates to a method and system for controlling and optimising an industrial or civil engineering works operation involving: the process, the product, a device, works, a complementary device (or peripherals), a component, and / or operational components. The invention is based on at least one of multiple possible parameters, in an automated (or semi-automated), smart, reliable and verifiable manner throughout the entire operational chain. The system includes: devices, computer vision, sensors and actuators; databases containing a pattern acquired in the operation, a standard pattern to be achieved, quality control and historical 3D models; software, a digital twin, a cloud, artificial intelligence and / or a remote control.

Systems and methods for automatically testing wireless connections of network access points are disclosed according to various embodiments. In one example, a disclosed comprises: receiving a first input from a user via a graphic user interface (GUI); scanning, based on the first input, for available wireless networks to find a plurality of network identifications (IDs); filtering the plurality of network IDs to generate a subset of network IDs meeting a predetermined criterion; providing, to the user, the subset of network IDs representing a list of access points via the GUI; receiving a second input from the user, wherein the second input indicates that the user selects a network ID from the subset of network IDs; receiving a third input from the user via the GUI; performing, based on the third input, a wireless connection test for a selected access point associated with the selected network ID to generate a connection test result; generating at least one label based on the connection test result; and providing, to the user, the at least one label via the GUI.

System, comprehensive: a control panel communicating with a function controller, the control panel being configured as follows: Receiving an authentication request that includes user input; authenticating the user input by comparing the user input with at least one stored input; Determining a vehicle mode; Update, via function control, a status associated with a key fob, in response to the vehicle mode being an authenticated mode.

A home automation monitoring and control system (100) is described, comprising a processing unit (10) on which software is installed comprising a fully functional off-line voice assistant, capable of understanding the vocabulary of one or more languages and of issuing commands starting from vocal instructions received from the user without the need to repeat the name of the system at each command, connected and integrated to home automation actuators (30) and / or to a control unit (20) connected to home automation expansion modules (31, 32) to perform the associated home automation function, capable of managing infinite scenarios that automate flows of recurring functions and automations.

Systems, apparatus and methods for automatically testing security devices through mobile 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) a corresponding one of a plurality of security devices to be tested and (b) a corresponding one of a plurality of mobile devices; and a plurality of test computers coupled to the frame, wherein each of the test computers corresponds to one of the plurality of test chambers, and has a processor and a non-transitory computer readable storage medium for automatically testing a corresponding one of the plurality of security devices using a test software. The corresponding mobile device is connected to the test computer and has a test application installed thereon corresponding to the test software. The test application and the test software cooperate during the testing to control the corresponding mobile device to communicate with the corresponding security device.

An assistance system (100) for assisting in controlling a chemical reaction run in a chemical reactor (10) for producing a plurality of products (20) is presented. The system comprises a) a product demands providing unit (101) configured to provide one or more future demands (40a, 40b, 50) for each of the products, b) a reaction model providing unit (102) configured to provide a reaction model, the reaction model indicating, for each of a plurality of combinations of values of a plurality of reaction control parameters (30a, 30b), a produced amount of each of the products, and c) a reaction parameter determining unit (103) configured to determine future reaction control parameter values based on the one or more future demands and the reaction model. This allows for a more efficient control of chemical reactions run in chemical reactors.

The invention relates to a method (100) for providing a compensation variable in an optimized manner in order to compensate for a synchronous fluctuation of an electric machine, having the following steps: in a first step (105), receiving sensor data by means of a sensor unit in a first cycle time T1 and transmitting the received sensor data to an electric machine control unit in the first cycle time T1; in a second step (110), transmitting the sensor data from the electric machine control unit to a control unit in a second cycle time T2; in a third step (115), processing the sensor data by means of the control unit in the second cycle time T2, wherein in the third step (115) the control unit is designed to approximate the compensation variable (315) from the sensor data for a compensation interval; in a fourth step (120), transmitting the processed sensor data from the control unit to the electric machine control unit in the second cycle time T2; and in a fifth step (125), analyzing the processed sensor data by means of the electric machine control unit on the basis of the third step (115) and current sensor data in the first cycle time T1 in order to provide the compensation variable (315), wherein the compensation value can be determined by the electric machine control unit in the first cycle time T1.