18results about How to "Improve accuracy and reliability" patented technology

The invention discloses a fault online monitoring and early warning method for an energy storage system. The monitoring method comprises the following steps: acquiring real-time state parameters of each battery in a plurality of energy storage battery assemblies in a current detection period and a previous detection period; calculating the internal resistance change rate of the battery based on the real-time state parameters of the battery; calculating a fault risk index of the battery by combining the real-time state parameter and the aging coefficient of the battery based on the internal resistance change rate; and judging whether the fault risk index of the battery is greater than or equal to a fault risk threshold, if so, controlling the battery to stop running, and sending fault warning information to a control end of the energy storage system, and if not, controlling the battery to run normally. Through the multi-dimensional state parameters of two continuous detection periods, the fault risk index of each battery is comprehensively calculated to judge the operation state of a single battery, the problems that an existing scheme is single in detection parameter, lacks dynamic monitoring capability and does not consider battery aging factors are solved, and comprehensive, dynamic and accurate fault monitoring and early warning are achieved.

The present invention relates to a remote interactive ultrasound-guided puncture system and method with master-end force feedback, comprising a prosthesis, a master-end operating arm, a simulated operating table, a slave-end robot, and a display unit; the master-end operating arm is provided with a gripping portion, and the gripping portion contacts the prosthesis to realize simulated operation; the master-end operating arm is provided with an encoder, a distance measuring sensor, an inclination sensor, and a master-end multi-dimensional force sensor, which can obtain the position, posture information, and force information of the gripping portion; the simulated operating table comprises a table top and a driving mechanism; the slave-end robot is provided with a slave-end multi-dimensional force sensor for real-time detection of the fitting force; the slave end is interconnected and communicated with the master end, and operates in real time according to the position, posture, and force information of the gripping portion; the display unit displays the master-end posture information, multi-dimensional force information, and the slave-end on-site audio and video information, medical images, and slave-end robot force signals in real time. The present invention realizes real-time interaction, feedback, and verification between the master and the slave, and the simulation scene is more realistic and the medical operation is more accurate.

The utility model relates to a soil free gas collecting device, which comprises a telescopic loop bar component, a gas collecting cylinder, a piston rod, a gas collecting pipe, a gas collecting pipe, a gas collecting pipe, a gas collecting pipe, a gas collecting pipe, a gas collecting pipe and a gas collecting pipe, and is characterized in that the telescopic loop bar component comprises a gas collecting cylinder and a piston rod, the gas flow port of the gas collection cavity is suitable for being pre-buried in soil to be detected, the piston rod can enable the gas collection cavity to be in a negative pressure state through stretching movement, and when the gas collection cavity is in the negative pressure state, free gas in the soil can enter the gas collection cavity from the gas flow port; the limiting piece is connected between the piston rod and the gas collecting cylinder and used for limiting the relative position of the piston rod in the gas collecting cylinder when the gas collecting cavity is in the negative pressure state. According to the device, the piston rod can retract in the gas collection cylinder to reach an initial position so as to discharge gas in the gas collection cavity, so that interference of original non-soil free gas in the gas collection cavity is avoided, and the authenticity of collected and collected gas samples is ensured.

A method of determining a concentration of an analyte in a bodily fluid is disclosed. The method comprises using a mobile device (112) having a camera (114). Further, the method comprises capturing at least one image of at least a part of an optical test strip (124) having a test field (126) by using the camera (114). The method further comprises determining at least one analyte concentration value from color formation of the test field (126), wherein the method comprises: i) providing, in the mobile device (112), at least one correlation for transforming color formation of the test field (126) into the analyte concentration value, wherein the term "correlation" refers to a predetermined or determinable relationship between information derived from the at least one image and at least one analytical measurement concentration value, wherein the correlation is determined by using empirical or semi-empirical methods, also referred to as a training; ii) providing, in the mobile device (112), at least one item of clearance information, the at least one item of clearance information indicating a level of confidence for the correlation; and iii) if the item of clearance information indicates a sufficient level of confidence for the correlation, providing, by the mobile device (112), indication to a user that the capturing of the at least one image does not require using the color reference card (128). Further, a method of controlling analytical measurements, a mobile device (112), a system (110) for controlling analytical measurements and computer programs for performing and / or controlling analytical measurements are disclosed.

The invention provides an ecological effect evaluation system and method for power transmission and transformation project construction water conservation measures based on remote sensing, and the system comprises a data collection module which is used for obtaining a remote sensing image of a to-be-managed power transmission and transformation project region based on remote sensing, and carrying out the multi-dimensional analysis of the remote sensing image, and obtaining the corresponding multi-source project data; the model construction module is used for determining a multi-factor evaluation system of each protection measure in the water conservation measures based on an evaluation standard, and constructing a comprehensive evaluation model based on the multi-factor evaluation system; and the effect evaluation module is used for analyzing the multi-source project data based on the comprehensive evaluation model, determining multi-dimensional ecological change characteristics of the power transmission and transformation project area to be managed based on an analysis result, and obtaining an ecological effect evaluation result based on the multi-dimensional ecological change characteristics. The actual ecological effect of the water conservation measures is comprehensively and accurately evaluated, and a guarantee and a basis are provided for implementation of the water conservation measures in power transmission and transformation project construction.

The present invention discloses a method, system, medium and device for energy storage battery safety warning based on AI big model, including: obtaining real-time battery characteristic data and historical battery characteristic data of each single cell in the target energy storage system; constructing an AI big model based on the self-attention mechanism of Transformer; obtaining the historical battery characteristic data of each single cell in the reference energy storage system; training the AI ​​big model using the historical battery characteristic data of each single cell in the reference energy storage system to obtain a trained AI big model; using the pre-trained AI big model to conduct safety warning for each single cell in the target energy storage system according to the real-time battery characteristic data and historical battery characteristic data of each single cell in the target energy storage system. The present invention greatly improves the accuracy and reliability of identifying the risk of battery thermal runaway in advance, improves the accuracy of battery thermal runaway warning, reduces the probability of false alarms, and effectively protects the stable operation of each battery cell in the power station.

Provided in embodiments of the present application are a vibration assessment method and apparatus, a computer device, a storage medium, and a computer program product. The method comprises: collecting an actual vibration attribute curve of a target object, where reference vibration attribute information comprises reference vibration attribute values for a plurality of times, and the actual vibration attribute curve is generated according to collected actual vibration attribute values for a plurality of times; determining delay durations of N actual conversion points according to a difference between a reference vibration attribute curve of the reference vibration attribute information and the actual vibration attribute curve; utilizing the delay durations to perform correction on the actual vibration attribute curve, and obtaining a corrected vibration attribute curve; obtaining target curve deviation information between the reference vibration attribute curve and the corrected vibration attribute curve, and performing assessment on a vibration effect of the target object on the basis of the target curve deviation information. The accuracy of an assessment result for a vibration effect of a target object can be improved by means of the present application.

A method of determining a concentration of an analyte in a bodily fluid is disclosed. The method comprises using a mobile device (112) having a camera (114). Further, the method comprises capturing at least one image of at least a part of an optical test strip (124) having a test field (126) by using the camera (114). The method further comprises determining at least one analyte concentration value from color formation of the test field (126), wherein the method comprises: i) providing, in the mobile device (112), at least one correlation for transforming color formation of the test field (126) into the analyte concentration value; ii) providing, in the mobile device (112), at least one item of clearance information, the at least one item of clearance information indicating a level of confidence for the correlation; and iii) if the item of clearance information indicates a sufficient level of confidence for the correlation, providing, by the mobile device (112), indication to a user that the capturing of the at least one image does not require using the color reference card (128). Further, a method of controlling analytical measurements, a mobile device (112), a system (110) for controlling analytical measurements and computer programs for performing and / or controlling analytical measurements are disclosed.

An inertial navigation initial alignment method, apparatus (300) and device applicable to inclination measurement. The method includes: acquiring (101) a first specific force vector of an inertial navigation system of a receiver in a body coordinate system, and Doppler velocity information and position information; determining (102), according to the Doppler velocity information and the position information, a second specific force vector of the inertial navigation system of the receiver in a navigation coordinate system; determining (103) a first projection of the first specific force vector in an initial moment body inertial frame, and determining a second projection of the second specific force vector in an initial moment navigation inertial frame; performing (104) time integration on the first projection and the second projection respectively to obtain first projection integration velocities and second projection integration velocities; and determining (105), according to the first projection integration velocities and the second projection integration velocities of at least two different moments, a first relative relationship of the body coordinate system with respect to the navigation coordinate system. According to the inertial navigation initial alignment method applicable to inclination measurement, alignment accuracy and reliability of the initial alignment of the inertial navigation system can be improved.

The invention discloses a heavy haul railway on-track operation safety protection multi-redundant data filtering processing method, which comprises the following steps: establishing an early warning information storage library, and detecting first early warning information of a target train in real time, including kilometer post information, longitude and latitude information and relative time of the target train and a target railway section; according to the historical early warning information in the early warning information storage library, whether the early warning information is sent to the train terminal or not is judged; assigning a risk weight to each piece of information in the first early warning information, assigning a first risk weight to the kilometer post information, assigning a second risk weight to the longitude and latitude information, and assigning a third risk weight to the relative time; the kilometer post information corresponds to a first early warning level, the longitude and latitude information corresponds to a second early warning level, and the relative time corresponds to a third early warning level; and determining an early warning level corresponding to the first early warning information according to the risk weight and the early warning level of each piece of information. Therefore, the reliability of the early warning information can be ensured, and meanwhile, the same early warning information is prevented from being repeatedly sent.

The present invention provides a community LPG smart turnover warehouse early warning system and method based on multi-source data fusion, including: a multi-dimensional data acquisition module, which is used to collect multi-source monitoring data in the turnover warehouse in real time based on multi-source sensing equipment, and pre-process the multi-source monitoring data, and perform multi-source data fusion on the pre-processed multi-source monitoring data based on data fusion logic to obtain fused data; a data analysis module, which is used to build a multi-dimensional early warning model for the turnover warehouse, and perform real-time analysis of the fused data based on the multi-dimensional early warning model for the turnover warehouse; an early warning module, which is used to determine the operating status of the turnover warehouse based on the real-time analysis results, and when there is an abnormality in the operating status, perform corresponding early warning operations based on the abnormal phenomenon. The accuracy of early warning monitoring is improved, emergency measures are taken in a timely manner, and the operating reliability and safety of the turnover warehouse are guaranteed.

The invention relates to the technical field of virtual reality, in particular to a digital virtual reality scene construction method and system, and the method comprises the steps: obtaining a plurality of images of a real scene, extracting a plurality of to-be-digitized virtual features according to the images, obtaining the space information of each to-be-digitized virtual feature through a depth camera and a laser radar, and obtaining the space information of each to-be-digitized virtual feature; calculating a spatial information difference value, dividing a real scene region category according to the spatial information difference value, and selecting a construction strategy, including dividing each region into a plurality of sub-regions, calculating the spatial information difference value of each sub-region, and judging whether to divide the sub-regions again or not; according to the method, different areas are classified, so that the areas which easily generate errors can be further divided, and the areas which are accurately digitally virtualized are directly digitally virtualized, so that the digitalized virtual reality scene is constructed. Therefore, the accuracy and reliability of the digital virtual reality scene are improved.

The utility model discloses an unbalance-loading-resistant glass sucker vehicle weighing device and engineering machinery equipment, and belongs to the technical field of high-altitude vehicle weighing. The device comprises a suction cup, a first mounting plate, a second mounting plate and a three-dimensional force sensor. The three-dimensional force sensor comprises an elastic element and a pressing block element; the elastic element comprises a first output beam, a second output beam and a third output beam which are used for measuring force in the X direction, the Y direction and the Z direction respectively, corresponding X-direction strain areas, Y-direction strain areas and Z-direction strain areas are arranged on the first output beam, the second output beam and the third output beam respectively, and the first strain gauge set, the second strain gauge set and the third strain gauge set are correspondingly installed in the strain areas respectively. A Wheatstone bridge is formed; a force signal detected by each strain gauge group is led out through a cable; the double-shaft angle sensor and the three-dimensional force sensor are combined to calculate the weight of the glass. According to the utility model, the problem that the stress angle of the glass sucker vehicle is greatly changed can be effectively solved, and accurate weighing during unbalance loading is realized.

This application provides a request rewriting method, apparatus, device, and computer storage medium. The method includes: acquiring an information query request for implementing model training operations; determining the rewriting category to which the information query request belongs; determining positive and negative rewriting samples corresponding to the information query request based on the rewriting category; training a model based on the information query request, positive and negative rewriting samples to obtain a request rewriting model; and performing a request rewriting operation using the request rewriting model. In this embodiment, different sample selection strategies are used to perform sample selection operations based on different rewriting categories to which the information query request belongs. Then, model training is performed based on the positive and negative rewriting samples selected in the selection operation to obtain the request rewriting model, thereby ensuring the quality and effectiveness of the model training operation. Subsequently, the request rewriting operation is performed based on the request rewriting model, thus effectively ensuring the quality and efficiency of the request rewriting operation.

The disclosure relates to a hearing system comprising a first hearing device (110, 160, 410, 460) configured to be worn at a first ear of a user, the first hearing device comprising a first biometric sensor (119, 131 - 134, 411) configured to provide sensor data (211) indicative of a biometric property of the user; a second hearing device (120, 170, 420, 470) configured to be worn at a second ear of the user, the second hearing device comprising a second biometric sensor (129, 131 - 134, 421) configured to provide sensor data (212) indicative of the same biometric property as the sensor data (211) provided by the first biometric sensor (119, 131 - 134, 411). The disclosure further relates to a corresponding method of operating a hearing system, and a computer-readable medium storing instructions to perform the method. To provide the sensor data (211, 212) of the first and second biometric sensor (119, 129, 131 - 134, 411, 421) in an optimized way, in particular to balance a desired high accuracy and / or reliability and / or quality of the sensor data with a low power consumption of the biometric sensors, a processing unit (112, 122, 182, 201) is configured to control the first and second biometric sensor (119, 129, 131 - 134, 411, 421) to provide the sensor data (211, 212) in subsequent time intervals, wherein, in at least one of said subsequent time intervals, one of the first and second biometric sensor (119, 129, 131 - 134, 411, 421) is controlled to provide the sensor data to the processing unit (112, 122, 182, 201) and the other of the first and second biometric sensor (119, 129, 131 - 134, 411, 421) is controlled to abstain from providing the sensor data (211, 212) to the processing unit (112, 122, 182, 201).

The invention discloses a fan twisting cover assembling and labeling machine which comprises a rack, a rotary conveying line, a jacking mechanism, a positioning die holder provided with a positioning structure, a feeding conveying line, a feeding twisting cover mechanical arm, a labeling mechanism, a discharging conveying line and a discharging mechanical arm. The rotary conveying line comprises a rotary chain, a rotary driver, a plurality of bearing seats and a positioning driver; each bearing seat is provided with a matching structure; the positioning driver is provided with a positioning structure; the jacking mechanism comprises a first jacking assembly and a second jacking assembly; the positioning die holder is arranged beside one side, back to the rotary chain, of the second jacking assembly; the feeding and cap twisting mechanical arm stretches across the feeding conveying line, the positioning die holder and the rotary chain. The labeling mechanism is adjacent to the feeding and cap twisting manipulator; the discharging mechanical arm stretches across the discharging conveying line and the rotary chain. The purposes that the upper cover is automatically fed, the upper cover and the fan body are automatically screwed and matched to obtain the fan, the upper cover of the fan is automatically labeled, and the labeled fan is automatically discharged are achieved.

This invention relates to an AI vision-based method for monitoring static electricity release behavior. It solves the technical problem of lacking a method for monitoring whether static electricity is being released and whether the release behavior is standardized in industrial safety production. The method includes the following steps: 1) Initializing parameters and starting the algorithm service; 2) Acquiring scene images; 3) Sending the scene images to the algorithm detector for detection; 4) Deleting personnel data information not in the static electricity release area; 5) Obtaining tracking numbers; 6) Binding hand detection boxes to corresponding human body detection boxes; 7) Performing minimum pixel filtering; 8) Determining whether the remaining personnel are entering or leaving the workshop; 9) Obtaining the determination result of whether the remaining personnel are releasing static electricity; 10) Obtaining the determination result of whether the remaining personnel have completed releasing static electricity; 11) Obtaining the determination result of whether the remaining personnel have left the static electricity release area; 12) Determining whether an alarm is triggered; 13) Repeating steps 2) to 12) until the monitoring period ends.

The present application relates to engineering machinery monitoring equipment, provide a kind of weighing device, including swing cylinder base, swing cylinder, weighing sensor and for connecting the load support of working bucket, the swing cylinder base is connected with the swing cylinder, the weighing sensor is installed on the output shaft upper end of the swing cylinder, the load support includes the weighing loading structure at upper end and the bending moment resistance structure at lower end, the weighing loading structure is pressed on the weighing sensor, to be able to load the weighing sensor axial, the bending moment resistance structure is arranged between the lower end of the output shaft, to be able to withstand the bending moment of the load support.In addition, the present application also provides high-altitude machinery tipping monitoring system and engineering machinery.The weighing device of the present application can effectively eliminate the influence of working bucket partial load on measurement results, improve the accuracy and reliability of measurement results.