Abstract: A defective soldering point intensive extent analysis system for solder paste inspection and a method thereof are disclosed. After the circuit board is set with soldering pastes, the solder paste inspection can immediately detect a circuit board to generate a detection log, the information of defective soldering points in the detection log is analyzed to determine an aggregate of the defective soldering points set on the circuit board, so as to find a defective soldering point area, and generate and display defective soldering point alert information according to statistics of the defective soldering point area, thereby achieving the technical effect of conveniently analyzing the defective soldering points on the circuit board for accurate repair.

Abstract: A battery state estimation apparatus calculates a measured DC resistance value of a DC resistance based on a current change amount and a voltage change amount, which are calculated in a predetermined period using measured current value and voltage value. The battery state estimation apparatus further calculates (i) a non-temperature dependent constant and (ii) a constant of a temperature dependent function based on (i) an estimated DC resistance value and (ii) the measured DC resistance value. The estimated DC resistance value is an estimated value of the measured DC resistance value; the estimated DC resistance value is represented as a sum of (i) the non-temperature dependent constant Ra, which indicates a temperature independent component of the DC resistance of the secondary battery, and (ii) the temperature dependent function Rb, which indicates a temperature dependent component of the DC resistance of the secondary battery.

Abstract: A part processing planning method includes the following steps. Firstly, a specific tolerance of a nominal size of a part is obtained. Then, a predetermined tolerance of each of processes is obtained. Then, using a process dimension chain establishing technique, at least one predetermined tolerance associated with the specification tolerance from the predetermined tolerances is obtained. Then, at least one predetermined tolerance associated with the specification tolerance is accumulated to obtain a size cumulative tolerance. Then, whether the size cumulative tolerance meets the specification tolerance is determined. Then, at least one predetermined tolerance associated with the specification tolerance is re-allocated when the cumulative tolerance does not meet the specification tolerance, such that the size cumulative tolerance is within the specification tolerance.

Abstract: A power detector with wide dynamic range. The power detector includes a linear detector, followed by a voltage-to-current-to-voltage converter, which is then followed by an amplification stage. The current-to-voltage conversion in the converter is performed logarithmically. The power detector generates a desired linear-in-dB response at the output. In this power detector, the distribution of gain along the signal path is optimized in order to preserve linearity, and to minimize the impact of offset voltage inherently present in electronic blocks, which would corrupt the output voltage. Further, the topologies in the sub-blocks are designed to provide wide dynamic range, and to mitigate error sources. Moreover, the temperature sensitivity is designed out by either minimizing temperature variation of an individual block such as the v-i-v detector, or using two sub-blocks in tandem to provide overall temperature compensation.

Abstract: A battery temperature estimation method includes fitting, when a battery is in an offline state, a first function relationship according to corresponding admittances of the battery at different test temperatures, and obtaining a temperature distribution model of the battery according to the shape and the size of the battery, and determining a second function relationship corresponding to internal temperatures and a surface temperature by combining with the first function relationship. The second function relationship is used for estimating the internal temperature of the battery by using the surface temperature and the admittances of the battery.

Abstract: A secondary battery state estimation device includes: a state measurer configured to measure state variables including a terminal current and a terminal voltage of a secondary battery; an internal resistance calculator configured to calculate internal resistance of the secondary battery; an estimated open-circuit-voltage (OCV) calculator configured to calculate an estimated OCV; an estimated state-of-charge (SOC) calculator configured to calculate an estimated SOC, by using an SOC-OCV characteristic model; a differential estimated SOC calculator configured to calculate a differential estimated SOC; an integrated terminal current calculator configured to calculate an integrated terminal current; and a state-of-health (SOH) calculator configured to calculate an SOH. The SOH that the SOH calculator has calculated in a high SOC state where at least the estimated OCV is equal to or above a first threshold value is entered into an SOH estimation model used to estimate the SOH to update the SOH estimation model.

Abstract: An apparatus for calculating battery power including a time setting unit that sets a target time for using a battery cell, a temperature sensor unit that measures temperature of the battery cell, a resistance calculation unit that calculates resistance of the battery cell, and a power calculation unit that calculates an optimum current value usable without exceeding threshold temperature of the battery cell during the target time, based on the temperature and resistance of the battery.

Abstract: A method for assessing environmental data is described. The method includes receiving sensor data associated with each of a plurality of time intervals from at least one sensor on at least one mobile sensor platform. The sensor data is associated with position data corresponding to each of the plurality of time intervals. The position data corresponds to a plurality of positions having a characteristic distance not exceeding one hundred meters. The sensor data includes a plurality of measurements for each of the plurality of positions. The method includes determining, based on the sensor data and the position data, anomalous data including least one of a geographic anomaly or a temporal anomaly.

Abstract: An apparatus for diagnosing a degree of degradation of a battery includes a measuring unit configured to measure a voltage of each of a plurality of battery cells in each of a plurality of cycles where charging and discharging is performed and output voltage information about the plurality of measured voltages, and a control unit configured to receive the plurality of voltage information, calculate a voltage deviation of each cycle for each battery cell based on a reference voltage of each of the plurality of battery cells, select a cycle section satisfying a predetermined condition for each of the plurality of battery cells based on the calculated voltage deviation, calculate a voltage deviation change rate corresponding to each of the plurality of selected cycle sections, and diagnose a relative degree of degradation of the plurality of battery cells based on the plurality of calculated voltage deviation change rates.

Abstract: A control module of a power calibration circuit comprises a control unit, a main voltage feedback unit and an auxiliary voltage feedback unit, the control unit is connected to at least one power switch, the main voltage feedback unit is connected to an output terminal of the power calibration circuit and the control unit, the auxiliary voltage feedback unit is connected to the output terminal and the control unit, the auxiliary voltage feedback unit comprises a voltage dividing circuit connected to the output terminal and having at least one voltage dividing node, and a voltage limiting circuit connected to the voltage dividing node and the control unit, the voltage limiting circuit has a first state when a voltage of the voltage dividing node is not higher than a reference voltage, and a second state when a voltage of the voltage dividing node is higher than the reference voltage.

Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

Abstract: A battery diagnosis apparatus according to the present disclosure includes a voltage measurer for measuring a cell voltage of each of first to nth battery cells and a processor, wherein n is a natural number of 2 or greater. The processor determines an average cell voltage of each battery cell for a first rest period from a first time point to a second time point, based on the cell voltage of each battery cell measured a first number of times for the first rest period, determines an average cell voltage of each battery cell for a second rest period and diagnoses a fault of each battery cell based on the average cell voltage of each battery cell for the first rest period and the average cell voltage of each battery cell for the second rest period.

Abstract: A method is provided for placing sensors in a fluid distribution network by simulating network operating scenarios; by determining candidate sets of sensor positions; by determining the measurements of each sensor in each scenario, and the detection of associated anomalies; by attributing a score to each candidate set of sensor positions, representing the capacity of the sensors placed in the positions of the set to accomplish a mission. Finally, the candidate sets are modified using so-called genetic algorithms until a stop criterion is validated. The genetic algorithms can for example consist in crossing over or mutating candidate sets.

Abstract: There are provided a vehicle control device and a control method thereof capable of improving safety and reliability with a simple configuration. A vehicle control device 1 that controls a vehicle includes an execution management unit P3 that manages execution of predetermined processing, an execution state recording unit P5 that records a history of execution states of the predetermined processing, and a setting information management unit P4 that manages setting information related to the execution of the predetermined processing. The setting information includes a jitter tolerance which is a tolerance of a jitter. The execution management unit P3 adjusts an execution timing of processing to be adjusted, which is included in the predetermined processing and in which the jitter is generated, based on the jitter tolerance of the processing to be adjusted.

Abstract: A system, apparatus and method for automatic environmental data collection and analysis are provided, including a server comprising: a processor and a communication interface, the processor configured to: receive, using the communication interface, a geographic survey request from a first computing device; translate the geographic survey request into mission data for collecting geographic survey data; transmit, using the communication interface, the mission data to a second computing device associated with a geographic survey entity; receive, using the communication interface, the geographic survey data collected by the geographic survey entity using the mission data; analyze the geographic survey data to generate processed geographic survey data; and, transmit, using the communication interface, the processed geographic survey data to the first computing device.

Abstract: A battery cell performance monitoring system includes an energy storage system that includes at least one inverter and battery nodes. Each of the battery nodes includes battery racks, and each of the battery racks includes battery cells. The battery cell performance monitoring system also includes a processor, memory, and programming in the memory. The programming causes the battery cell performance monitoring system to determine an extreme rack cell voltage value of each battery rack. Next, to determine an average extreme rack cell voltage value based on the extreme rack cell voltage value of each battery rack. Further, to compare an extreme rack cell voltage value for each battery rack with the average extreme rack cell voltage value. Additionally, to identify one or more outlier battery racks based upon the comparison of the extreme rack cell voltage value for each battery rack with the average extreme rack cell voltage value.

Abstract: A method for health assessment of a system including a transport apparatus including registering predetermined operating data embodying at least one dynamic performance variable output by the transport apparatus, determining a base value (CpkBase) characterized by a probability density function of each of the dynamic performance variable output, resolving from the transport apparatus in situ process motion commands of the apparatus controller and defining another predetermined motion set of the transport apparatus, registering predetermined operating data embodying the at least one dynamic performance variable output by the transport apparatus and determining with the processor another value (CpkOther) characterized by the probability density function of each of the dynamic performance variable output by the transport apparatus, and comparing the other value and the base value (CpkBase) for each of the dynamic performance variable output by the transport apparatus respectively corresponding to the predetermin

Abstract: A system and method for observing fluid flow behavior at a selected site, deriving judgments and recommendations, and further communicating data, judgments and recommendations. The system receives flow rate information, derives a time series of fluid flow events therefrom, identifies compound events consisting of contemporaneous events, disaggregates compound events by application of an unsupervised model, and applies the unsupervised model to derive a solution space of a subset sum problem-type, wherein historical data of the observed fluid flow is not necessarily accessed.

Abstract: Techniques and apparatus for information assessment processes are described. In one embodiment, for example, a computer-implemented method for performing a review-by-exception process may include, via one or more processors of a computing device, accessing chromatography information generated via analyzing a sample using a mass spectrometry system, the chromatography information comprising at least one peak and at least one peak attribute for the at least one peak, determining posterior probability information for the chromatography information; generating an estimated peak model based on the posterior probability information, determining a confidence indicator for the estimated peak model, and generating an exception for the at least one peak responsive to the confidence indicator being outside of an exception threshold. Other embodiments are described.

Abstract: Disclosed is an estimation method for the safety state of a battery pack based on deep learning and consistency detection, including: acquiring battery parameters of each single battery in the battery pack in a charging process to be identified; calculating multiple groups of feature data according to the battery parameters; constituting a first matrix by the multiple groups of feature data, and calculating a covariance matrix of the first matrix; inputting the covariance matrix into a first trained fully connected layer, so as to extract principal components of the first matrix and obtain a second matrix; multiplying the first matrix and the second matrix to obtain a third matrix; and inputting the third matrix into a series-connected and trained multi-head self-attention layer and classification layer, to identify whether single battery consistency safety hazards exist in the charging process. This embodiment improves the accuracy of identification.