45results about How to "Statistically accurate" patented technology

The invention belongs to the technical field of power systems, and discloses a power grid load statistical method, which specifically comprises the following steps of: 1, collecting data; 2, data preprocessing; step 3, load classification; 4, calculating an adjustable load; 5, establishing a load prediction model; step 6, real-time load monitoring and prediction; step 7, error correction and feedback; 8, comparing data; and ninthly, generating a load statistical report and performing early warning. According to the method, the source of the power grid load data in the statistical region is comprehensively collected, so that the load classification can be more accurate, the load prediction model can predict the power grid load by combining the operation characteristics of the power grid in the statistical region and the change rule of the electrical load, and meanwhile, due to the establishment of the power grid load prediction model, the power grid load prediction efficiency is improved. Therefore, a manager can compare the statistical power grid load data with the prediction data of the load prediction model when counting the power grid load data.

The invention belongs to the technical field of machining, and particularly relates to a metal sheet shearing machine which comprises a shearing machine base. A servo motor is fixedly connected to the top face of the middle of the shearing machine base. The output end of the servo motor is fixedly connected with a fixed block; side supports are fixedly connected to the two sides of the fixing block. Through a set of precise design, automatic shearing, synchronous feeding and discharging and machining amount counting of metal sheets are achieved, firstly, the metal sheets are subjected to vacuum adsorption through suction cup frames arranged on the two sides correspondingly, and transfer and positioning of the metal sheets are achieved in cooperation with a servo motor; then, a cutting disc fixed to the shearing machine base is matched with a shearing assembly, and the metal sheet adsorbed to the shearing table is cut at a high speed; after shearing, one suction cup frame releases the sheared metal sheet, the other suction cup frame adsorbs the other metal sheet at the same time, a rapid and accurate synchronous feeding and discharging mechanism is achieved, and the situation that due to the fact that a material sheet is difficult to position accurately, a notch deviates is avoided.

The invention relates to a method for counting the number of hospital daytime outpatient service visitors based on mobile phone signaling, comprising the following steps: (1) dividing a target area according to urban functional areas, where office areas and industrial parks are collectively called working areas; (2) finding out a mobile phone user of which the working place or the residence place is not located in a medical area by using a mobile phone signaling, and naming the mobile phone user as a first user; (3) calculating the movement speed and the staying duration of the first user based on the mobile phone signaling, and if the first user meets a preset condition, considering that the first user is in a staying state in a medical area, and naming the first user as a second user for short; and (4) when the staying time period of the second user is the working time of the hospital daytime outpatient service and the staying time length meets a preset staying time length range, identifying that the second user is a patient seeing the daytime outpatient service. According to the invention, the number of daily outpatient service patients in each region can be accurately counted, and the problem that official published or field survey data can only cover part of hospitals is effectively overcome.

The invention provides a shared bicycle track feature extraction method and system based on Bluetooth sniffing. The method comprises the following steps that a Bluetooth sniffing device obtains a Bluetooth signal of a shared bicycle; extracting feature information of the shared bicycle from the Bluetooth signal; positioning the shared bicycle according to the Bluetooth signal, and obtaining position coordinates of the shared bicycle at different time points; obtaining the travel time of the shared bicycle based on the appearance time and the disappearance time of the Bluetooth signal; obtaining the residence time of the shared bicycle in a certain area based on the duration of the Bluetooth signal; and obtaining the speed change and the total distance in the whole riding process based on the position coordinates of the shared bicycle at different time points. The data quality is improved by adopting filtering and error correction algorithms.

The present invention discloses a method, device, equipment and medium for detecting abnormal data of an LED sending card network port, and relates to the field of LED control technology. The method comprises: obtaining network port data output by an LED sending card; parsing the network port data to obtain network port control range and data packet protocol information; determining theoretical per-frame packet sending information according to the network port control range and the data packet protocol information; determining actual per-frame packet sending information according to the network port data; comparing the actual per-frame packet sending information with the theoretical per-frame packet sending information to obtain abnormal detection results of the network port data. By comparing the actual packet sending situation with the theoretical situation, automatic monitoring of abnormal network port data of an LED sending card is realized, and at the same time, the abnormal situation can be accurately counted, which provides a reliable basis for the stability and reliability of related products, greatly improves the efficiency of correcting abnormal product status during the research and development process, and saves a lot of research and development costs.

The invention provides a performance appraisal system, a performance appraisal method and device and electronic equipment. The system comprises a personnel management module, a performance appraisal module, a salary management module and a data analysis module. Compared with the prior art, the embodiment of the invention has the advantages that through automatic processing in combination with personnel management, performance assessment and salary management modules, manual intervention is reduced, and the data processing efficiency is improved; accurate statistics of attendance checking conditions is realized through data acquired by the attendance checking terminal in combination with personnel archives; through analysis and trend prediction of historical data, human resource strategies and salary policies can be formulated more scientifically, and talent management is optimized.

The invention belongs to the technical field of steelmaking, and discloses a method for developing a steelmaking furnace charge consumption cost accounting model, and the specific technical scheme is as follows: 1, determining key data; 2, acquiring and assembling data; 3, calculating and storing a CR / NI grade value; 4, the actual CR / NI grade of production feeding is determined; 5, obtaining the CR / NI grade value of the direct supply material; 6, material conversion unit price calculation; 7, NI / CR alloy correction amount calculation and total cost accounting are carried out; and 8, model display and tendency chart generation: organically combining detailed information such as cost, consumption, furnace charge CR grade, furnace charge NI grade and heat of the stainless steel furnace charge, and accurately calculating the cost per ton of steel of different steel grades through a data integration and treatment technology. And a solid and reliable data support is provided for a plurality of key fields such as product pricing, process design, order optimization, material purchasing, benefit prediction, operation decision and the like.

The application provides a kind of energy storage power station data processing method and device, electronic equipment, storage medium, belong to data processing technical field, this method is applied to light storage system, light storage system includes the photovoltaic power station and energy storage power station, photovoltaic power station and energy storage power station are connected with the controller communication connection with power grid, this method is executed by the controller of light storage system, including: obtaining the statistical data of energy storage power station in each historical date in multiple time windows;Statistical data includes energy storage charging capacity, and the power grid power of the power grid incoming line side of energy storage power station;For each historical date, based on the statistical data in multiple time windows of this historical date, perform photovoltaic consumption amount calculation operation, obtain the photovoltaic consumption amount in multiple time windows of this historical date.The energy storage power station data processing method and device, electronic equipment, storage medium provided by the application can improve the statistical accuracy of photovoltaic consumption amount in the energy storage charging process of light storage system.

The present invention uses EBSD technology to distinguish α and β grains in titanium alloy tissue from the perspective of crystal structure, and can obtain grain orientation imaging, grain quantity and aspect ratio of each grain in the sample analysis area, characterize and define grain equiaxility with average aspect ratio, quantitatively characterize grain equiaxility, equiaxed uniformity and spheroidization rate, and can quickly and accurately count the equiaxility of α grains in titanium alloy, improve detection accuracy, and the results are quantitative, repeatable and statistically significant. The results can be used to characterize the relationship between various properties of titanium alloys and provide scientific guidance for titanium alloy processing technology or other needs.

The utility model discloses a urine and excrement collecting container for a heart failure patient. The urine and excrement collecting container comprises a collecting pipe, a filter screen and a weighing assembly. The filter screen is arranged in the collecting pipe, and length scale marks and capacity scale marks are arranged on the outer side wall of the filter screen; a drainage hole is formed in the bottom of the collecting pipe, and the outer edge of the bottom of the filter screen inclines downwards towards the drainage hole; the weighing assembly comprises a weighing spring, the first end of the weighing spring is connected with the filter screen, and the second end of the weighing spring is connected with the bottom of the collecting pipe. When the urine and excrement collecting container is used, a patient places the urine and excrement collecting container on a pedestal pan, urine and excrement are separated through the filter screen, the urine is accumulated to the bottom of the collecting pipe through the filter screen, urine collection and measurement are completed by observing the volume scale marks, the contraction amount of the weighing spring is obtained by observing the length scale marks, and excrement collection and measurement are completed. Therefore, the statistics of the output of the patient is more accurate, the operation is simple, and the use is convenient.

The application relates to a carbon credit data statistics method and system based on enterprise travel, which comprises the following steps: acquiring actual travel path data; acquiring current vehicle initial fuel consumption based on the actual travel distance and actual consumed oil quantity, generating an evaluable fuel consumption data set, and the evaluable fuel consumption data set comprises multiple current evaluable vehicle fuel consumptions; then generating a current carbon credit evaluation value, acquiring low-carbon management behaviors of drivers and passengers of an actual travel supervision vehicle, and generating a current vehicle travel carbon credit value; finally acquiring exchangeable electricity data of each preset supervision function department in a current carbon credit supervision enterprise, and generating a current enterprise energy consumption summary carbon credit. The application avoids the influence of inaccurate statistics caused by the wear of vehicle fuel consumption statistics devices in vehicles due to different vehicle service life and vehicle consumption, thereby avoiding the problem of inaccurate fuel consumption statistics, and realizes accurate, efficient and reliable acquisition of carbon credit data statistics of enterprise travel.

This invention provides a microkernel-based container building and running system and method, including: a namespace functional module, a control group functional module, and a fault recovery functional module. The namespace functional module is used to partition static system resources, dividing mount point data, network protocol stack data, and process management data. Different application containers reside in different namespaces and access different system resources, achieving system resource isolation. The control group functional module is used to partition dynamic system resources, statistically analyzing and limiting CPU resources, memory resources, and I / O bandwidth resources. Different application containers reside in different control groups and use limited resources, achieving system resource limitation. The fault recovery functional module is used to handle system service crashes caused by memory errors. This invention achieves enhanced isolation and security while also improving performance.

This invention discloses an automatic target reporting system and method based on ejection port detection technology. The automatic target reporting system includes a target surface information acquisition subsystem for acquiring target surface information; a bullet firing information capture subsystem, which includes an ejection port detection module for acquiring projectile information; a data processing subsystem, which further includes a judgment module for judging the shooting hit status based on the target surface information and projectile information, including hitting the target, hitting a non-target, and missing the target; a shooting score statistics module for calculating the hit rings when hitting the target and hitting a non-target; and a bullet consumption statistics module for judging whether the projectile is a cartridge case or a live bullet based on the shape of the projectile, and obtaining the bullet consumption quantity based on the number of cartridge cases ejected.

The embodiment of the invention discloses an electric quantity calculation method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of electric quantity calculation. The method comprises the following steps: acquiring power utilization weights of a plurality of sub-devices in a target device system, wherein the plurality of sub-devices comprise at least one power utilization electronic device and at least one sub-device to be distributed; and determining the target power consumption of the at least one electronic device based on the power consumption weights of the plurality of sub-devices and the total power consumption of the target device system in the target time period. Thus, by comprehensively considering the power utilization weights of the electronic equipment and the to-be-distributed sub-equipment, the electric quantity of the to-be-distributed sub-equipment can be accurately distributed to the electronic equipment, accurate statistics of the target power consumption of each electronic equipment is realized, and then the energy consumption management efficiency and the charging accuracy are remarkably improved.

The invention relates to the technical field of weld crack quantitative evaluation, and discloses a Ti2AlNb material weld crack sensitivity quantitative evaluation method, which comprises the following steps: respectively adopting crack data of a plurality of groups of Ti2AlNb material flat plates under different welding speeds and different heat treatments; respectively processing the crack data of the multiple groups of Ti2AlNb material flat plates under different welding speeds and different heat treatments to obtain crack sensitivity quantitative evaluation indexes under the welding parameters of the multiple groups of Ti2AlNb material flat plates under different welding speeds and different heat treatments; and comparing and analyzing the quantitative evaluation indexes of the crack sensitivity under the welding parameters of a plurality of groups of Ti2AlNb material flat plates at different welding speeds and different heat treatments to obtain a quantitative result of the crack sensitivity of the welding seam of the Ti2AlNb material. The number of microcracks at the section of a welding joint under different welding and heat treatment process parameters is counted through an optical microscope, the crack frequency is calculated by averaging the section crack frequency, and the weld section crack frequency serves as a quantitative evaluation index of the electron beam weld crack sensitivity of the Ti2AlNb material.

The present invention discloses a method, device, equipment, storage medium and program product for segmenting postoperative intracranial pneuma. The method comprises: acquiring image data of a patient's cranial brain, the image data at least comprising a postoperative computed tomography CT image and a preoperative nuclear magnetic resonance MR image; establishing a registration relationship between the computed tomography CT image and the nuclear magnetic resonance MR image; determining a first CT region below a preset density threshold from the computed tomography CT image; determining a first MR region in the nuclear magnetic resonance MR image corresponding to the first CT region according to the registration relationship; and generating a patient's intracranial pneuma segmentation file according to the first MR region. The method can accurately segment the pneumocranial boundary, accurately count the volume of the patient's intracranial pneuma, and improve the efficiency of statistics and analysis of the patient's postoperative intracranial pneuma.

The present invention discloses a feeder self-healing test system, equipment and storage medium based on cloud technology, wherein the system includes a test device and a monitoring device; the test device is used to provide simulated fault information to the monitoring device; the monitoring device includes a power distribution intelligent terminal and a power distribution automation master station system; wherein the power distribution intelligent terminal is connected to the power distribution automation master station system and the test device, and is used to isolate the fault area according to the simulated fault information, and synchronously perform data processing on the simulated fault information to obtain fault detection information; the power distribution automation master station system is used to determine the transfer strategy according to the fault detection information, and control the power distribution intelligent terminal to perform non-fault area recovery based on the transfer strategy. The power distribution intelligent terminal in the above system can be quickly isolated on-site without going through the master station, and can also perform non-fault area recovery according to the transfer strategy provided by the master station, which effectively improves the fault handling efficiency.

The invention discloses a high-sensitivity anti-backflow intelligent water meter, and relates to the technical field of water meters. The high-sensitivity anti-backflow intelligent water meter comprises a middle shell, a front end cover and a rear end cover, the middle shell, the front end cover and the rear end cover are distributed in the same axial direction, the front end cover and the rear end cover are distributed at the two ends of the middle shell, and water circulates from the front end cover to the rear end cover; a turbine is arranged in the front end cover, rotates under the impact of water flow and enables water to be conveyed towards the middle shell in a vortex form; a metering cavity is formed in the middle shell, an impeller is assembled in the metering cavity, a water inlet channel and a connecting channel are formed in the middle shell, and the water inlet channel and the connecting channel are used for conveying water in a vortex form from the front end cover into the metering cavity in a continuous vortex form to drive the impeller to rotate and enable the impeller to move towards the rear end cover. The high-sensitivity anti-backflow intelligent water meter has the advantages of being high in sensitivity, high in precision and capable of preventing backflow.

The utility model relates to a turnover type transfer appliance device special for a threshold stiffening beam, and belongs to the technical field of transfer. The device provided by the utility model comprises three assembly bodies, namely a frame assembly (1), a pressing rod assembly (2) and a stand column seesaw assembly (3), the device is made of an aluminum alloy material, is light in weight, has a weight reduction effect of about 30%, is corrosion-resistant and long in service life, and can be recycled; the device mainly adopts a welding and screw joint mixed connection scheme, the whole frame adopts welding to reduce the problems of interference with bolts and the like in the structure overturning process, and a multi-layer division overturning movable grillwork structure is adopted to fix the number of transferred workpieces, so that accurate statistics and counting are facilitated; meanwhile, foam is adopted on each storage cavity for pressing the workpieces, so that the workpieces are prevented from falling off; a connecting rod linkage mechanism is designed, so that the use efficiency is improved.

The invention discloses an invisible area people counting method based on people behavior trend spatial vector analysis, which comprises the following steps: arranging a camera device in a visible area, detecting a target in a field of view of the camera device through a YOLO detection algorithm, and marking and tracking the target; and analyzing the behavior trend of the detected target, judging whether the detected target enters a specific invisible area, and calculating the number of people in the invisible area based on a judgment result. According to the invention, accurate statistics of the number of people in a plurality of non-public areas is realized at the same time.

The present invention discloses a method and system for detecting the density of pollinating bees in a pollination area. The method comprises: judging whether the distance between a first feature point in a single video frame in a set of video frames and any second feature point in a mixed video frame is greater than a dynamically preset distance threshold, and being able to determine whether the bees in a single video frame and a mixed video frame under the same sliding window are the same bee, so as to facilitate the subsequent more accurate statistics of the number of bees in a preset time period; inputting both the single video frame and the target single video frame into a pre-constructed first density detection model, and inputting both the mixed video frame and the target mixed video frame into a pre-constructed second density detection model, the first density detection model outputs a first detection result, and the second density detection model outputs a second detection result. The accuracy of the detection of the density of pollinating bees can be more accurately improved.

The invention provides a statistical method, system and device for CDN infrastructure data and a medium. According to one example of the invention, the method is applied to a CDN log system, the CDN log system comprises a monitoring service component, and the method can comprise the following steps: the monitoring service component receives a change identifier of CDN infrastructure data sent by a CDN management system; the monitoring service component stores the change identifier into path data corresponding to the CDN infrastructure data; when the monitoring service component monitors that the path data changes, the CDN log system is triggered to send a data query request to the CDN management system; and performing data statistics according to the CDN infrastructure data returned by the CDN management system.

The intelligent grouper fry breeding box comprises a breeding machine box, a placing opening is formed in the top face of the breeding machine box in a penetrating mode, a screening container is embedded in the placing opening, the screening container is matched with the placing opening, the screening container is a hexagonal conical container, and a rotary sorting disc is arranged on the bottom face of the screening container. A guide plate is installed in the breeding machine box, the bottom face of the guide plate is connected with a rotating rod, breeding containers are fixed to the two sides in the breeding machine box respectively, visual collecting pieces are arranged at the positions close to the two ends of the guide plate, and efficient screening of grouper fries can be achieved through the breeding machine box. Fry with unqualified sizes are discharged through water flow and a filtering opening, the fry slide into a corresponding breeding container along a guide plate, the fry are collected and counted through a visual camera, the inclination direction of the guide plate is adjusted, the fry with qualified sizes can smoothly fall into a qualified fry breeding container, and therefore the effect of classified breeding is achieved.

The invention discloses a method for counting key factors influencing spawning space-time distribution of domestic fish at the downstream of a reservoir. The method mainly comprises the steps of fish early-stage resource monitoring, hydrological element monitoring, numerical simulation of waterpower conditions of a river channel, result analysis and the like. The fish early-stage resource monitoring mainly comprises surface layer and middle bottom layer sampling, on-site sample sorting and counting, live sample culture, observation and identification, long-term storage after dead sample identification, section coefficient checking, sample accuracy statistics and the like. Hydrological element monitoring mainly relates to water level monitoring, water temperature testing, flow velocity distribution testing, flow testing, large section measurement and the like. A two-dimensional hydrodynamic mathematical model is adopted to calculate the hydrodynamic conditions of the spawning site reach in the numerical simulation of the waterdynamic conditions of the river channel; according to result analysis, hydrodynamic conditions in a computational domain, actually measured hydrological elements and the spawning amount of the domestic fish are associated, so that key factors influencing spawning space-time distribution of the domestic fish at the downstream of the reservoir are defined. The method has the advantages that the key factors influencing the spawning space-time distribution of the reservoir downstream domestic fish are found out through statistical analysis of the multi-source data, and the method is an effective way for accurately counting the key factors influencing the spawning space-time distribution of the reservoir downstream domestic fish.

The application discloses a fault identification method, device and equipment of a flexible alternating current (AC) feeder, and a medium, and belongs to the field of power system protection. The method is as follows: equivalent circuits of a flexible direct current (DC) system in different modes are topologically connected according to boundary conditions of single-phase ground faults to construct a multi-mode equivalent network model; a fault excitation is applied at a preset fault point of the multi-mode equivalent network model, a theoretical current response of a preset protection installation under the fault excitation is calculated, and theoretical transient characteristic values are extracted from the theoretical current response; electrical signals at the preset protection installation are collected in real time, when it is detected that the electrical signals meet preset starting conditions, an actual current response of the preset protection installation is acquired, and actual transient characteristic values are extracted from the actual current response; the actual transient characteristic values are compared with the theoretical transient characteristic values, and the fault of the flexible AC feeder is identified according to a comparison result. The application can improve the accuracy of fault identification of the flexible AC feeder.

The invention discloses a portable medical high-precision fluid meter which comprises a fluid storage device and a data processing device, the fluid storage device is provided with an inlet and an outlet, and a flow sensor and a color sensor are arranged at the inlet of the fluid storage device; the data processing device is provided with a display module, a power switch module, a microcomputer control module, a power module, a data signal transceiving module and an early warning module, the power module is electrically connected with the other modules, and the flow sensor and the color sensor are wirelessly connected to the data processing device through the data signal transceiving module. According to the fluid meter, statistics of the fluid flow is more accurate, the postoperative infection risk of a patient is reduced, the working efficiency of medical staff and family members and the doctor-patient satisfaction degree are improved, clinical safety is improved, the risk is reduced, the safety of the patient is guaranteed, economic benefits are improved, and the medical cost is reduced.

The invention provides an insertion and deletion mutation data analysis method, device and system and a readable storage medium, and relates to the field of high-throughput next-generation sequencing. The method comprises the following steps: acquiring a sequence comparison file and extracting an intersection sequence; generating a target fragment according to the CIGAR value in the intersection sequence; carrying out primary screening and removing treatment on the target fragment; re-comparing the target fragment to obtain a comparison result; mutation site information is obtained according to the comparison result. According to the method, the sequence near the InDel breakpoint is processed based on the comparison result, the InDel representative sequence with high consistency in different sequences can be accurately found, the target InDel is rapidly obtained through local re-comparison, and accurate frequency statistics of the target InDel is achieved by adopting a BAM re-comparison mode. And the problem of analysis of extremely low frequency or complex type mutation is solved.

This invention discloses an automatic counting method and system for the number of furnaces using ladle agitators. The method includes collecting ladle agitator usage signals, desulfurization station operation signals, and molten iron furnace number signals to determine and generate a valid agitator usage event; dynamically binding the valid agitator usage event with the current desulfurization station agitator configuration information; receiving the molten iron furnace number signal and identifying whether the current molten iron is ladle-fired; if it is ladle-fired, assigning it a unique ladle furnace number; automatically generating and storing a detailed agitator usage record based on the binding of agitator configuration information and the furnace number identification and processing; automatically counting, summarizing, and generating a statistical report of key indicators regarding the agitator usage of each desulfurization station; and designing a system to implement the above method. This invention can replace manual summarization, saving labor costs; calculates refractory material costs based on the actual number of furnaces used, achieving accurate cost accounting; and fully records special production situations, supporting process optimization.

The invention discloses a water station information data processing method, and the method comprises the steps: obtaining a water bucket stacking image, and taking a region with equal water bucket spacing as a water bucket stacking region; identifying the number of the topmost water buckets of the tray; identifying the number of trays; counting the total quantity of the water buckets according to the quantity of the water bucket placing areas, the quantity of the trays, the quantity of the water buckets on the uppermost layer of the trays and the quantity of the water buckets directly placed on the ground; identifying the outermost water buckets on the ground through an image edge detection technology, and quickly identifying the increase and decrease of the water buckets; and establishing a water station storage management three-dimensional model according to the total quantity of the buckets and the bucket placement positions. Through the image processing technology and algorithm, the arrangement area of the water buckets, the number of trays, the number of the water buckets on the uppermost layer of the trays and the number of the water buckets directly arranged on the ground can be automatically recognized, and therefore the total quantity of the water buckets can be rapidly and accurately counted; the established three-dimensional model can reflect the change of the number and position of the water buckets in real time, so that managers can know the inventory condition of the water station at any time.

The embodiment of the specification discloses a port wood intelligent counting method and device based on depth estimation. The method comprises the following steps: in response to a grabbing operation completion instruction, an original image of a target scene is acquired, a depth map corresponding to the original image is determined based on a monocular depth estimation model, and the original image and the depth map are spliced into four-channel data; based on the four-channel data, a trained target detection model outputs a recognition result, the input channel of the first layer convolution of the target detection model is four, and all channels are read when data is loaded; the average depth of the grabbing target in the current grabbing operation is determined based on the depth value of each grabbing target, and the grabbing target whose deviation proportion from the average depth is greater than a proportion threshold is removed, and the remaining grabbing targets are counted. In this embodiment, the interfering objects outside the grabbing structure can be better removed, and the number of target objects inside the grabbing structure can be more accurately identified and counted, thereby improving the automation level in this scene.