348 results about "Discharge data" patented technology

The carbon footprint of a supply and distribution chain is modeled as a carbon dioxide (CO₂) cost that can be considered alongside monetary or dollar ($) costs in supply, manufacturing, and distribution operations. Databases on products and services, supply chain policies, and targets, costs, and/or greenhouse gas (GHG) emissions are used by a GHG calculator to output carbon footprint data and/or by a supply chain optimizer to output supply chain planning and policy data. Client computers obtain carbon footprint and/or supply chain planning and policy data by querying a server with access to a database storing calculated carbon footprint data. Input data to the GHG calculator is updated based on choices made by users of the system.

Systems and methods for compiling and presenting physician quality information to consumers are provided. The physician quality information system aggregates data from data sources such as claims data, patient satisfaction data, and public discharge data and computes metrics based on definitions. These metrics can be things such as mortality rate, patient wait time after the scheduled appointment, and whether a physician performed a certain test when a specified set of symptoms were present. The consumer is presented with the physician quality information system through a website. The consumer can enter his or her preferences regarding the physician search into the website and these preferences are used to customize the report that is generated from the information that is computed and complied by the physician quality information system.

The invention relates to a method for extracting the waveform feature of a local discharge pulse current, comprising the following steps of: acquiring data of a local discharge signal of a transformer; automatically extracting a pulse waveform signal of the local discharge signal; calculating each microcosmic characteristic parameter of the extracted single discharge pulse waveform; and carrying out characteristic space dimension reduction on the microcosmic characteristic parameter of the local pulse waveform. By using the method, the microcosmic characteristics can be effectively extracted from continuous sampled waveform signals; the defect that the obtained local discharge data cannot be sufficiently utilized because most of current digital local discharge instruments carry out statistic analysis treatment by only utilizing the microcosmic characteristic of local discharge data is overcome; single discharge pulse waveforms of various discharge types can be adaptively extracted from the acquired data, and effective dimension reduction of the waveform microcosmic characteristic can be carried out through an improved manifold learning algorithm, so that the low-dimension and effective discharge pulse waveform characteristic can be extracted.

The present invention discloses an ageing rate estimation method of storage battery. Said method includes the following steps: defining discharge data and discharge capacity characteristic data of storage battery; using nominal life of storage battery as reference, using its discharge curve as ageing curve; when the storage battery is come into floating charge state from equalizing charge state, defining its position in ageing curve and estimating its ageing rate; when the discharge exceeds predefined discharge depth, according to the comparison result of capacity discharged from the present discharge to described selected capacitor point and new storage battery capacity renewing ageing rate; then utilizing said renewed ageing rate to correct the position of storage battery in ageing curve. Said invention also discloses a fault detection method of storage battery and a storage battery management monitoring device.

The invention provides a VSP-distribution-based traffic operation data and vehicle emission data coupling method and system. Excavation and analysis are conducted on features of traffic operation data and vehicle emission data, VSP distribution serves as an intervening variable, and a dynamic mapping relation between traffic operation parameters such as traffic flow, the average speed and vehicle running working condition and vehicle emission parameters such as the emission index and the emission factor. By means of the VSP-distribution-based traffic operation data and emission data coupling method and system, the physical significance of vehicle exhaust emission is simplified, and the efficiency and accuracy of traffic emission quantitative evaluation are improved.

A firearm monitoring and tracking system is a system for detecting the absence/removal of a firearm from a firearm holster. A firearm monitoring assembly is utilized to detect if the firearm is removed from the firearm holster. A proximity sensor is able to detect the removal of the firearm from the firearm holster. The firearm monitoring assembly and the proximity sensor are positioned in a manner such that the proximity sensor is able to detect the firearm's removal. Upon the firearm's removal, location data of the firearm is recorded with a geospatial positioning module along with audio data in the vicinity of the firearm through a microphone. Firearm discharge data is captured through an accelerometer. The location data, the audio data, and the firearm discharge data is then transmitted to at least one receiving device.

A WRF-CHEM-based large point pollution source atmosphere environment influence evaluating method comprises the following steps: acquiring meteorology data and landform data, arranging a simulation area, and preprocessing the meteorology data and the landform data; selecting different parameterization scheme combinations having large influences on simulation, and designing a contrast experiment scheme; acquiring artificial source discharge and natural source discharge lists, and carrying out space, time, discharge height and species division and other pretreatments; running a WRF-CHEM model, and comparing simulation results of the different parameterization scheme combinations with observation data to obtain an optimum simulation scheme; processing large point pollution source discharge data, adding the processed large point pollution source discharge data to the model under the optimum simulation scheme, and running the WRF-CHEM; comparing the large point pollution source considered simulation result with the result under the optimum simulation scheme, and evaluating the degree and range of influences of the large point pollution source on circumferential atmosphere environment; and visually displaying the simulation result, and providing management decision basis for environment influence evaluating reports.

The invention provides a pollution source prediction method, a pollution source prediction device and electronic equipment, and relates to the technical field of pollution prediction, which comprisesthe following steps of: obtaining mesoscale meteorological prediction data and emission list data of a to-be-predicted destination; Wherein emissions and emission sources corresponding to the emissions are recorded in the emission list data; according to the Industry type, combining the emission sources to obtain reference emission data, inputting the mesoscale meteorological prediction data and the reference emission data into an air quality numerical model to obtain air pollution prediction data, and calculating the air pollution refined prediction contribution rate according to emission list data and the air pollution prediction data. The calculation amount of the air quality numerical model can be reduced, and the calculation speed is increased.

Methods, systems and non-transitory computer readable media for imaging are disclosed. Emission projection data corresponding to a target region of a subject is acquired using an emission tomography system. Additionally, one or more magnetic resonance images of the target region are generated using a magnetic resonance imaging system operatively coupled to the emission tomography system. A partially-determined attenuation map is determined by identifying one or more regions in the partially-determined attenuation map with a designated confidence level based on the magnetic resonance images. Further, a complete attenuation map and/or a complete activity map is reconstructed from the emission projection data using the partially-determined attenuation map as a constraint. One or more images corresponding to the target region are then generated based on the partially-determined attenuation map, the complete attenuation map and/or the complete activity map.

The invention provides a cable insulation state online automatic monitoring and diagnosis system. A real-time data acquisition module acquires discharge data of a cable; a data automatic analysis and processing module processes and analyzes the data and calculates earth leakage capacitive reactance and impedance of the cable, expresses change of the cable insulation state through the change trend of earth leakage capacitive reactance and impedance, sets an early warning threshold with an average value obtained through long term of measurement and calculation acting as a reference value and compares a real-time measurement result with the reference value to obtain relative deviation which is compared with the early warning threshold; a change curve drawing module draws a real-time cable insulation change curve so as to obtain a cable insulation change trend curve and draw an impedance change curve; a cable insulation fault early warning module performs early warning; and a database module is used for storing the acquired data and the results of the aforementioned modules. Monitoring and fault diagnosis can be automatically performed so that the aspect of accuracy of cable insulation monitoring and fault line selection can be powerfully and reliably guaranteed.

Disclosed herein is a method of facilitating provisioning of audit data related to energy consumption, water consumption, water quality, greenhouse gas emissions, and air emissions using blockchain, in accordance with some embodiments. Accordingly, the method may include receiving, using a communication device, a sensory data from at least one measuring device. Further, the method may include analyzing, using a processing device, the sensory data. Further, the method may include generating, using the processing device, the audit data based on the analyzing. Further, the audit data may include at least one of an energy usage data, a carbon emission data, a water usage data, an air emissions data, and a water quality data. Further, the method may include storing, using a storage device, the audit data on blockchain. Further, the audit data may be used for at least one of monitoring purposes, reporting purposes, and analytical purposes.

The invention provides an air pollution assessment method and device based on a CALPUFF system. The method comprises: a data acquisition step, when acquiring an instruction for reading data, reading discharge data of at least one pollution source within a preset geographic area and air quality data monitored by a monitoring station within the preset geographic area from a local database; a data analysis step, calling a CALPUFF model interface and a CALPOST model interface, calculating pollution concentration data of spatial distribution within the preset geographic area according to the discharge data and the air quality data; and a diagram display step, displaying a concentration comparison diagram of the air quality data monitored by the monitoring station within the preset geographic area and data of influence of the pollution sources on the monitoring station according to the pollution concentration data, or displaying the pollution concentration data on an ArcGIS map in an inverse distance weighted interpolation rendering mode. The device provides execution modules for the method. The method and the device facilitate user's operation and can intuitively display air pollution data.

The claimed method and system provide a process control device monitoring system and a process control valve assembly with a process control device monitoring system to measure one or more operating states of a process control device. The process control device monitoring system may also associate a time-stamp with the one or more measured operating states of the process control device in response to a trigger generated based on the one or more measured operating states. The process control device monitoring system may also transmit the time-stamp and an indication of the one or more operating states to a monitoring device.

A method and apparatus for collecting fugitive emissions from valves and other emissions sources is disclosed. The apparatus comprises a capsule enclosing at least a portion of the equipment and an ejector in fluid flow communication with the capsule. The ejector is connected to a compressed air source, which creates a pressure drop in the ejector which draws emissions from the capsule into the ejector. The apparatus may include a sensor chamber housing gas sensors to detect the presence and concentration of any emissions from the equipment being monitored, and may store emissions data, communicate the data to a plant process control system, and use the data to control plant conditions to reduce or eliminate the emissions.

The invention discloses a cable oscillation wave local discharge measuring and positioning system based on cloud computing, which comprises a cloud computing platform and a cloud computing access module, wherein the cloud computing platform comprises a local discharge signal analyzing and positioning system, a local discharge fault feature library, a local discharge mode recognizing system and a cable insulating state evaluating system; the cloud computing access module comprises a signal acquiring system, an oscillation wave generating device, a test cable and a local discharge calibrating instrument; the cloud computing access module has a network communication capability, and can generate a damping oscillation wave to discharge at an insulation defect position, further acquire a wave shape and a data measuring value, and transmit the wave shape and the data measuring value to a cloud computing platform; and the cloud computing platform analyzes and judges local discharge, and evaluates the cable insulating state and predicts a discharge trend so as to detect the local discharge of the cable and evaluate the cable insulating state. By virtue of the cloud computing, the local discharge data processing capability is greatly enhanced and the local discharge recognizing and positioning speed is greatly increased.

Battery charge management systems for charging a battery bank including a plurality of batteries connected in series are disclosed that include: a power source having a charging port, the power source capable of providing power to each battery in the battery bank; a multiplexer connected to the battery bank, the multiplexer capable of connecting the charging port to a single battery at a time and capable of switching the connection of the charging port to each battery in the battery bank; and a microcontroller connected to the multiplexer and operatively coupled to each battery in the battery bank, the microcontroller capable of receiving discharge data and charge data for each battery in the battery bank, the microcontroller capable of instructing the multiplexer to switch the connection of the charging port with each battery in dependence upon the discharge data and the charge data for that battery.

The invention is suitable for the technical field of power supply, and provides a method and device for predicting carbon emission, a terminal and a computer readable storage medium, and the method for carbon emission prediction comprises the steps: obtaining historical carbon emission data and enterprise information data within a set time, building an autoregressive moving average (ARMA) model according to the historical carbon emission data and the enterprise information data, and obtaining a linear prediction model of the carbon emission; calculating a residual sequence based on the historical carbon emission data and a prediction result of the linear prediction model; constructing a support vector machine (SVM) according to the residual sequence and the enterprise information data, and obtaining a nonlinear prediction model of the carbon emission; and combining the linear prediction model and the nonlinear prediction model to obtain a target prediction model of the carbon emission. The invention can achieve the prediction of the carbon emission in regional industrial planning and construction, provides a reference basis for the formulation of a power supply strategy, and improves the power supply efficiency.

The invention relates to a method of performing production operations of an oilfield having at least one process facility and at least one wellsite operatively connected thereto, each at least one wellsite having a wellbore penetrating a subterranean formation for extracting fluid from an underground reservoir therein. The method steps include obtaining a sample of separator discharge fluid from a separator, wherein the separator receives fluid extracted from the underground reservoir, performing gas chromatography on the separator discharge fluid to obtain gas molar composition, performing oil characterization on the separator discharge fluid to obtain oil density and oil molecular weight, performing a first simulation using the gas molar composition, the oil density, the oil molecular weight, and a gas oil ratio (GOR) of the separator discharge fluid to obtain a simulated composition of separator inlet fluid, wherein the first simulation is performed using a simulator, performing a second simulation using the simulated composition of separator inlet fluid to obtain a simulated composition of separator outlet fluid, wherein the second simulation is performed using the simulator, comparing the simulated composition of separator outlet fluid to an actual composition of separator outlet fluid, wherein the actual composition of the separator outlet fluid is obtained from the sample, and presenting the simulated composition of separator inlet fluid, when the difference between the actual composition of separator outlet fluid and the simulated composition of separator outlet fluid is less than a threshold value.

The invention relates to a method for separating secondary batteries. The method comprises the following steps: (1) selecting a batch of secondary batteries in a full energy state, placing the batch of secondary batteries in a charge-discharge detection device for a lithium ion battery, discharging the secondary batteries in a 3C-10C rate, and recording discharge data by using a computer; (2) setting the low limit of discharge time according to the capacity range of the selected secondary batteries, and classifying the batteries with the discharge time longer than the low limit of discharge time according to a setting range; (3) setting a low limit discharge platform or a low limit mid-value voltage for the selected secondary batteries in the capacity range according to needs to obtain the batteries more than the low limit discharge platform or the low limit mid-value voltage; and (4) carrying out internal resistance separation on the batteries obtained in step (3), and selecting the batteries with satisfactory internal resistances. After the technical scheme is adopted, a separation process is simplified, separation equipment is reduced, the separation speed is increased and the separation quality is improved, the production cost is reduced, and the production efficiency is improved.

The embodiment of the invention discloses a pollution contribution rate determination method and device, electronic equipment and a storage medium. The pollution contribution rate determination methodcomprises the following steps: acquiring meteorological prediction data of a current monitoring station in an atmospheric environment monitoring system, and acquiring emission data of each pollutionsource of the current monitoring station; determining air quality prediction data of each pollution source of the current monitoring station according to the meteorological prediction data and the emission data of each pollution source; and determining the pollution contribution rate of each pollution source of the current monitoring station according to the air quality prediction data of each pollution source of the current monitoring station. According to the technical scheme provided by the embodiment of the invention, the problem that the pollution contribution rate of each pollution source cannot be calculated in the prior art is solved, so that the pollution contribution rate of each pollution source of the monitoring station can be accurately obtained.

The invention discloses a full-automatic intelligent battery charging-discharging data acquisition system. The system comprises a plurality of storage batteries, at least one charging set, at least one data acquisition circuit and an upper monitoring device. One output of the upper monitoring device is connected with one input of the charging set, outputs of the charging set are connected with anode terminals and cathode terminals of the storage batteries, the anode and the cathode of the storage batteries are taken as voltage signal outputs to be connected with the input of the data acquisition circuit, the input and the output of the data acquisition circuit are respectively connected with the corresponding input and the corresponding output of the upper monitoring device. In the charging-discharging process, data are automatically detected and acquired, and a matching result is printed according to the arrangement sequence of the batteries on a charging rack so that an operator can tear down the matching number in turn and affix the matching number to the corresponding batteries. The system avoids much labor resulting from manual measurement and recording of the final voltage when the charging-discharging is finished, and has the advantages of accurate and reliable matching, low labor intensity and high working efficiency.