284 results about "Reference device" patented technology

The invention discloses a space-time adaptive power prediction system and method for distributed photovoltaic power generation in a mountainous area, and particularly relates to the technical field of fault prediction and health management. The method is used for solving the problem that the accuracy of power prediction and equipment health state evaluation is influenced by environment characteristic data reconstruction reference drift caused by equipment performance degradation in the prior art. A spatio-temporal data sequence is constructed by acquiring historical data of a photovoltaic unit, a spatio-temporal association network of generated power among equipment is constructed, performance stability of a reference equipment group is evaluated, and when the stability does not meet conditions, a performance attenuation spatio-temporal mode is analyzed to identify common features and personalized features. The propagation path of performance degradation on the space-time correlation network is analyzed based on the characteristics, a critical point is evaluated, reference correction is performed on the environment characteristic data by using the common characteristics and the critical point, and finally, the corrected environment characteristic data is used for executing power generation power prediction and equipment health state evaluation. Therefore, the prediction accuracy and the health management reliability are improved.

The in-vehicle device for receiving time synchronization information transmitted from each of a plurality of reference devices and transmitting the received time synchronization information to another device, includes: a communication unit configured to communicate with the other device; and an information processing unit configured to, if the communication unit receives a frame in which the time synchronization information is stored, store the time synchronization information in a specific queue with priority over other information, wherein the communication unit transmits the time synchronization information stored in the specific queue to the other device.

The present invention relates to a crane, in particular in the form of a rotating tower crane, having a crane jib, from which a hoist rope connected to a load handling means runs, a load position sensor system for sensing the position of the load handling means and / or of a load fastened thereto, a surroundings sensor system for collecting surroundings data to establish a surroundings model, and a crane controller for controlling hoist rope and / or crane movements on the basis of the sensed position of the load handling means and / or of the load fastened thereto and on the basis of the established surroundings model. According to the invention, the surroundings sensor system has an imaging sensor system for providing three-dimensional real-time surroundings data and a geo-referencing device for geo-referencing the 3D real-time surroundings data and establishing a geo-referenced 3D surroundings model.

The invention discloses an air quality sensor self-correction method and system based on time sequence analysis, and the method comprises the steps: continuously collecting measurement values during the normal operation of a sensor to form time sequence data, dividing the time sequence data into continuous time periods, and then calculating the statistical parameters of each time period; by dynamically comparing a current parameter with a historical parameter sequence, the significance change trend of statistical characteristics is intelligently identified, so that whether essential drift occurs or not is judged; and after the drift is confirmed, inquiring a preset correction table according to the trend amplitude and direction to obtain a correction coefficient, and finally adjusting the gain or bias voltage of a sensor output circuit through a digital-to-analog converter to realize autonomous closed-loop correction. According to the method, analysis is carried out only by utilizing historical data of the sensor, external reference equipment or complex model training is not needed, online self-correction which is efficient, low in cost and high in real-time performance is achieved, and the long-term reliability and stability of air quality monitoring data are remarkably improved.

In a method of determining position information of a client device, reference devices include a master device and target devices. Target device clocks are synchronized with the master device clock based on one-way message information. For each of the target devices a first time correction is determined based on a two-way ranging message. A first message transmitted from / to the respective target device is timestamped by several target devices corrected for the first time correction. Position information of the client device is determined based on time-of-flight information of the first messages in which the first timestamp is corrected for the first time correction. As a result, the timestamps of the first messages applied by the target devices will experience a same offset error. Consequently, the corresponding pseudo-ranges will all have the same error. Typically, positioning algorithms are insensitive to constant errors in the pseudo-ranges or can easily deal with them.

The invention provides a DFT resource configuration prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic design automation, and the method comprises the steps: determining a reference device density based on a process node of a target chip; determining an effective digital logic layout area based on the chip planning area of the target chip and the estimated non-digital logic function region; according to a utilization rate factor corresponding to the physical design constraint of the target chip, correcting the effective digital logic layout area to obtain an available standard cell layout capacity; according to the standard unit layout capacity and the reference device density, generating a time sequence element number prediction interval of the target chip through a logic depth mapping model; and according to the time sequence element number prediction interval, generating testability design DFT architecture configuration parameters of the target chip. The number of chip registers can be quickly and accurately predicted and the DFT architecture configuration parameters can be generated in the early stage of chip design.

The invention belongs to the related technical field of fault diagnosis, and discloses a fault diagnosis sample generation method, application and equipment based on a physical constraint adaptive migration network, and the method comprises the steps: (1) converting original vibration signals of reference equipment and monitoring equipment into a time sequence spectrogram through continuous wavelet transform; (2) processing the time sequence spectrogram by adopting a spectrum feature encoder of the physical constraint adaptive migration network to extract multi-scale spectrum features; wherein a loss function of the physical constraint adaptive migration network comprises content loss, style loss and frequency band energy loss; (3) processing the multi-scale spectrum features by adopting the adaptive style normalization module so as to fuse the fault content features of the reference equipment and the machine style features of the monitoring equipment; and (4) processing the fused features by adopting a feature reconstruction decoder so as to reconstruct and generate a synthetic sample. According to the invention, the problem of insufficient data authenticity and physical consistency is solved.

The invention relates to the technical field of data processing, in particular to an industrial electromagnetic environment multi-dimensional health degree assessment model, which comprises a processor and a memory, and the processor executes a computer program of the memory to implement the following steps: acquiring a multi-dimensional electromagnetic environment data sequence of any equipment in an industrial electromagnetic environment in a current time period, if the abnormal fluctuation time period exists in the current time period, obtaining the abnormal performance degree of each abnormal fluctuation time period according to the data difference of each abnormal fluctuation time period; according to the data fluctuation characteristics of the multi-dimensional electromagnetic environment data sequence and the change trend of the multi-dimensional electromagnetic environment data of each reference device, the interference degree of any device in each abnormal fluctuation time period is obtained; according to the abnormal performance degree of each abnormal fluctuation time period and the interfered degree of any device, the affected degree of any device is obtained, the health degree of the industrial electromagnetic environment is obtained by using the affected degree of each device, and the accuracy of a health degree evaluation result is improved.

A communication apparatus and information sending method, the method including obtaining, by a first device, first information, where the first information comprises phase information obtained by a reference device by measuring a reference signal, and the first information is associated with positioning, and sending, by the first device, the first information to a positioning terminal device.

Techniques describe a network management system comprising a memory and processing circuitry configured to obtain distance measurements between at least two devices at a site, wherein the at least two devices comprise at least one reference device positioned at a known location and a target device relative to the at least one reference device positioned at an unknown location. The processing circuitry may further be configured to obtain directional information specifying a direction of one or more signals communicated between the at least one reference device and the target device. The processing circuitry may further be configured to determine, based on the distance measurements and the directional information, a plurality of possible positions of the target device relative to the at least one reference device. The processing circuitry may further be configured to determine, based on the directional information, a candidate position from the plurality of possible positions.

A method may include receiving, by a first user device from a network node or a second user device, 1) a positioning measurement report including at least one positioning measurement measured by a reference device, and 2) reference positioning-related information to be used for testing and / or validating a machine learning model; determining estimated positioning-related information as outputs of the machine learning model based on at least a portion of the positioning measurement report as inputs to the machine learning model; determining a performance indication of the machine learning model based on the reference positioning-related information and the estimated positioning-related information, wherein the performance indication indicates a performance or accuracy of the machine learning model; and performing, by the first user device, an action based on the performance indication.

The present disclosure relates to a location reference device (LRD) for assisting positioning over sidelink. The LRD comprises a communication interface configured to: receive a location assistance request from a user device or a network element for positioning, wherein the location assistance request indicates a location reference for a positioning of the user device over a sidelink; and transmit a location message over the sidelink, wherein the location message indicates that the LRD is capable of serving as a location reference for the positioning of the user device over sidelink.

A system and method for determining location information based on a reference profile for a reference device, and a system and method for determining the reference profile. The system may determine the reference locator with respect to the reference device based on a plurality of samples obtained with respect to communications between the reference device and an object device. An adapter locator may be determined for the reference locator for samples obtained with respect to communications between a test device and object.

A system and method for determining location information based on a reference profile for a reference device, and a system and method for determining the reference profile. The system may determine the reference locator with respect to the reference device based on a plurality of samples obtained with respect to communications between the reference device and an object device. An adapter locator may be determined for the reference locator for samples obtained with respect to communications between a test device and object.

Aspects of the disclosure relate to a packaging system, an apparatus (400; 500; 600; 700) for forming a package, an article carrier (90; 190; 390; 490) for packaging one or more articles, a blank (10; 110; 310; 410A-B) for forming the carrier, and to a method of packaging one or more articles. The carrier (90; 190; 390; 490) comprises a main panel (12; 112; 312; 412) having one or more article retention structures (RT1, RT2) for receiving and securing the main panel (12; 112; 312; 412) to a respective article (B). The carrier (90; 190; 390; 490) comprises at least one panel having a peripheral edge, a portion of which provides at least one registration edge shaped to inhibit movement in two orthogonal directions when engaged by a reference device (440; 540; 640; 740) of a packaging apparatus (400; 500; 600; 700).

The embodiment of the invention discloses an equipment information protection method and a related device, which are used for improving the security of hardware equipment information in a complete machine and applied to a baseboard management controller BMC, the BMC comprises a security core isolated from external environment access, and the method comprises the following steps: calling the security core, signing a firmware hash value based on a trusted certificate, and sending the signed firmware hash value to a server; generating a firmware identity certificate, wherein the firmware hash value is obtained by performing hash value calculation on the firmware information of the BMC; acquiring reference equipment information, wherein the reference equipment information is equipment information of the initial hardware equipment; a security core is called, the reference device information is signed based on the firmware identity certificate, a device identity certificate is generated, the device identity certificate is used for extracting the reference device information when the target hash value is not matched with the reference hash value, and the target hash value is obtained by performing hash value calculation on the target device information; the target equipment information is equipment information of the target hardware equipment, and the reference hash value is obtained by performing hash value calculation on the reference equipment information.

The invention discloses an association relationship determination method, equipment and a storage medium. The method comprises the following steps: acquiring a shooting content association degree between every two pieces of equipment in a plurality of pieces of equipment in a preset area; a to-be-determined device is searched from the multiple devices, the correlation degree between the to-be-determined device and the shooting content of a first correlation device meets a first correlation degree requirement, and the first correlation device is a device which has been determined to have a correlation relation with a target interest point in the preset area; and analyzing a first reference device of which the association degree with the shooting content of the to-be-determined device meets a second association degree requirement, so as to determine whether the to-be-determined device and the target interest point have an association relationship or not. In this way, the efficiency and accuracy of association relation determination can be improved.

The invention relates to an image processing method and device, electronic equipment, a storage medium and a chip, and relates to the technical field of image processing. Comprising the following steps: obtaining a target image parameter according to a first image parameter of a first image and second image parameters of two frames of second images; wherein the first image parameter is used for representing the change degree of the pixel gray value of the first image, and the second image parameter is used for representing the change degree of the pixel gray value of the second image; the first equipment is reference equipment of the second equipment; and performing noise reduction processing on the target image by adopting the target noise reduction coefficient corresponding to the target image parameter. By using the image processing method provided by the invention, the target image can be automatically calibrated.

The invention discloses a reference device for thermal imaging image data normalization and an application method, and belongs to the technical field of thermal imaging. The method comprises the following steps: calculating the layout number and positions of reference devices to obtain space coordinates of each reference device; arranging the reference devices according to the space coordinates of the reference devices; shooting a thermal imaging image of the reference device; and according to the thermal imaging image, image data normalization is carried out. The invention is based on a reference device for thermal imaging image normalization, and the thermal conductivity of a reference plate material can basically cover the thermal conductivity of different objects in a measurement range. Weighted average is carried out according to the heat conductivity of the four materials, a material weighted temperature deviation value is obtained through calculation, the object temperature at a certain time is further corrected to a temperature value at an initial time, and the space-time consistency of the object temperature measurement value during thermal imaging work is guaranteed.

The invention relates to an air conditioner control method and device, electronic equipment, an air conditioner, a medium and a product. The method comprises the steps that target air conditioner sensing information is obtained, and the target air conditioner sensing information represents the state of a target object sensed by a target air conditioner; acquiring reference equipment sensing information, wherein the reference equipment sensing information represents the state of the target object sensed by the reference equipment; according to the target air conditioner sensing information and the reference equipment sensing information, the actual state of the target object is judged; and controlling the target air conditioner according to the actual state of the target object. The actual state of the target object is judged by integrating the target air conditioner sensing information and the reference equipment sensing information, through collaborative fusion of multi-source sensing information, the limitation of single equipment sensing can be avoided, the accuracy of judging the state of the target object is improved, and therefore operation of the target air conditioner can better meet the actual requirement, and the user experience is improved. And energy conservation and consumption reduction are realized while the user experience is improved.

This invention discloses an intelligent elastic force calibrator, comprising a base with three equally angled horizontal adjustment screws threaded to its upper end. These screws extend through the lower side of the base, and a shock-absorbing base is located at the lower end of each screw. A three-axis fine-tuning platform is mounted on the upper end of the base, positioned at the center of the three horizontal adjustment screws. This intelligent elastic force calibrator can achieve various torque outputs and linear calibration of the elasticity curve sensor. It can also simulate various abnormal sample curves and scan the elasticity curve of a reference device before comparative experiments. This significantly improves product quality and production efficiency in factories, greatly enhances research and development efficiency in scientific research, and, in clinical practice, not only improves equipment accuracy but also significantly reduces training costs, providing clinicians with a solid and reliable standard.

The invention relates to an equipment category determination method and device, a storage medium and electronic equipment, and relates to the technical field of computers.The method comprises the steps that current data information reported by terminal equipment is received, the current data information is analyzed, and a to-be-detected equipment identifier and a reference equipment identifier associated with the terminal equipment are obtained; matching a first historical device identifier corresponding to the reference device identifier in a preset device identifier database to obtain a first identifier matching result, and matching a second historical device identifier corresponding to the to-be-detected device identifier to obtain a second identifier matching result; and according to the first identifier matching result and the second identifier matching result, determining a device category to which the terminal device belongs. According to the invention, the accuracy of the obtained equipment category is improved.

The invention particularly relates to a three-dimensional C arm and optical navigation fused spine screw placement path planning system, and relates to the technical field of intelligent medical treatment and surgical navigation. According to the system, a first coordinate set of coding characteristics in a C-arm image and a second coordinate set of optical navigation tracking are synchronously obtained through a reference device installed on a cone; respectively constructing a spatial topology network based on the image and the navigation coordinate system, and automatically establishing a mapping relation between the image and the navigation coordinate system by using an image matching algorithm to realize fusion registration; the planned path is converted to be stored in a dynamic coordinate system with the device as the reference; during operation, the dynamic coordinate system pose is tracked and solved in real time, and a path is mapped and displayed to guide instrument operation. According to the method, automatic and robust registration without manual marking is realized, and registration failure caused by movement of a patient in an operation is avoided through binding of a path and a dynamic coordinate system.

The present invention provides an electronic device, a clock calibration method, a storage medium, and a program product, which can be applied in the field of computer technology. The electronic device includes: a switch element electrically connected to a first controller, a processor, a clock generator, and a second controller; the second controller is configured to control the switch element to electrically connect the first controller to the clock generator when the electronic device is in an offline state; the first controller is configured to, when the first controller is electrically connected to the clock generator, perform a first calibration on the clock generator using a first reference time obtained from a time reference device to obtain a first calibrated clock generator; and, in response to an alarm signal sent by the first calibrated clock generator at a predetermined time, obtain a second reference time from the time reference device based on a first time difference between a first current system time of the first controller and the predetermined time, and perform a second calibration on the first calibrated clock generator using the second reference time.

The invention relates to a household storage equipment abnormity monitoring method and device, computer equipment and a storage medium. The method comprises the steps of obtaining operation parameters of household storage equipment in real time, and judging whether an abnormal state exists or not; in response to the existence of the abnormal state, obtaining abnormal log data of the user storage equipment, and judging whether the user storage equipment has a first type of equipment fault or not; in response to the fact that the user storage device does not have the first type of device fault, obtaining geographical location of the user storage device, and obtaining a feature reference domain in combination with regional feature analysis; based on the feature reference domain, obtaining a plurality of reference devices and a plurality of corresponding reference log data; and according to the abnormal log data, in combination with the plurality of reference log data, judging whether the user storage equipment has a second type of equipment fault or regional operation fluctuation. By adopting the method, the source of the abnormal state of the household storage equipment can be judged and adaptive adjustment is performed in combination with regional feature analysis, so that the accuracy of fault detection and anomaly identification is improved, and the stability and reliability of the equipment are enhanced.

An aspect of the present disclosure provides a system comprising a sensing device comprising a housing and at least one sensor in sensing communication with an outer environment of the housing. The at least one sensor can be configured to detect a user radiation signal that is reflected or emitted by at least a portion of a body of the subject. The system can further comprise a reference device comprising at least one radiation source configured to output a reference radiation signal. The user radiation signal and the reference radiation signal can be analyzed to determine a physiological feature of the subject.

The present invention is related to a method for compensating positioning errors of a die-sinking electro-discharge machine tool, wherein the machine tool comprises a worktable and a machine head with a rotational axis device, wherein a machine chuck is detachably mounted at the rotational axis device, wherein a tool electrode can be mounted on the machine chuck and a workpiece can be mounted on the machine table, wherein the machine tool comprises three linear axes (X, Y and Z) and a rotation axis (C), by which the tool electrode and the workpiece can be moved relative to each other, wherein the machine tool comprises a control unit configured to control the position of the linear axes. The method comprises the following steps: a. mounting a first touch probe (45) on the worktable; b. mounting a reference device (60) on the machine chuck, wherein the reference device has a clamping portion (61) for clamping the reference device into the machine chuck and a measurement portion (62), wherein the measurement portion has a plate-like shape with a top surface and a bottom surface, wherein the clamping portion is formed on the top surface and a reference hole (65) is formed on the bottom surface, wherein the reference hole is arranged in a manner that the central axis of the reference hole is aligned with the central axis of the machine chuck when the reference device is clamped in the machine chuck; c. contacting the inner surface of the reference hole at a plurality of positions by the first touch probe, in particular at least four positions in the reference hole; d. determining the center position of the reference hole based on the measured positions; e. calculating a concentricity deviation (CD_X, CD_Y) by comparing the determined center position of the reference hole with the position of the rotational axis (C-axis), wherein the concentricity deviation defines the radial distance between the rotational axis of the machine head (9) and the central axis of the machine chuck (21); f. measuring a tool electrode offset by a coordinate measurement device; g. calculating a tool-electrode correction amount for a target position of the machine axes (X, Y, Z, C) on the basis of the calculated concentricity deviation and the tool- electrode offset; h. adapting the target position of the machine axes to a real position by adding the calculated tool-electrode correction amount; and i. applying the real position for controlling the machine axes by the control unit of the machine tool.

The invention relates to an alarm and geolocation system (100) for simulating a watch, comprising an alarm device (10) comprising a short-range communication module (21), a processor (20) and an energy storage device (24) mounted in a support and housing element (11) permanently fixable to the watch, and a reference device (30) having a short-range communication module, the short-range communication module of the reference device is configured to communicate with the short-range communication module (21) of the alarm device (10), and wherein the processor (20) is programmed to calculate a distance (D) between the alarm device (10) and the reference device (30) based at least on one parameter of the signal transmitted by the short-range communication module of the alarm device, and the state of the alarm device (10) is switched according to the change of the distance (D).

The invention relates to the field of detection, in particular to a notebook computer audio detection method, device and system.The method comprises the steps that firstly, a small number of new-type devices are selected for audio detection, and data comparison analysis is conducted according to detection data and audio data of reference equipment closest to the new-type devices; therefore, a qualified audio curve serving as a reference standard for audio detection of the novel equipment can be fitted, and other novel equipment can be detected according to the qualified audio curve. According to the method and the device, the judgment on whether the sample equipment is qualified or not is completed in the process of fitting and generating the qualified audio curve serving as a judgment standard, secondary comparison on the sample equipment is not needed, the efficiency is improved, the determined qualified audio curve is a curve in which the data influence of unqualified equipment is eliminated, and the accuracy of the result is improved. And the method has high accuracy, so that the accuracy of detecting the subsequent equipment of the new type can be ensured.