36results about How to "Fast statistics" patented technology

The invention relates to a cone-cell density calculation method based on image identification. The method mainly solves the prior problem that density counting of cone cells is performed manually and an eye-ground adaptive confocal laser scanning ophthalmoscope is used to obtain a visual cone-cell image and after the response frequency of the cone cells is determined, low-pass filtering is used for denoising processing so as to establish a two-valued sequence. A local maximum value corresponding to a non-zero area is searched for so that the central position of the cone cells is found. After automatic identification of the visual cone cells in the image is completed, the number of the cone cells in the image is obtained with the assistance of manual correction and finally the density counting of the cone cells is achieved. When the function which adopts a computer to counting automatically is compared with a manual counting method, the automatic calculation method is accurate, high in statistical speed, high in automation degree, checkable in analysis result and improved in detection efficiency. At the same time, a manual correction function is added so that on the basis of software analysis, error identification can be removed manually and missed cone cells can be added and thus caused result deviation is prevented.

The invention discloses a production line output real-time automatic counting device and a counting method thereof. The device comprises laser range finding sensors and an industrial control computer. The laser range finding sensors are installed at one side of the roller way. The industrial control computer receives and analysis the signals of the laser range finding sensors. The automatic counting method comprises the steps that a laser ranging data curve map is acquired; a smooth curve map is acquired through image preprocessing; detection worms performs detection and steel bar roundness sequences are acquired through calculation; matching and comparison are performed on each segment of sequence so that the corresponding number of steel bars is acquired; and the total number of the steel bars is acquired via addition of the number of the steel bars corresponding to each segment of sequence. The beneficial effects are that the laser range finding sensors accurately receive information of workpieces on the roller way and the workpieces are accurately counted in real time through information analysis and calculation of the industrial control computer so that the device and the calculation process are low in error, high in statistics speed and low in maintenance cost; and screw-thread steel or steel pipes with great shape can be accurately counted, and partial warping screw-thread steel or steel pipes can also be accurately counted.

The invention relates to an inputting channel data statistical method and device. The method comprises the steps that a link request initiated by a user terminal is responded; channel information in the link request is identified; a Redis server is assigned according to the channel information; a corresponding operation record is generated according to operation events of the user terminal on a target website, and the operation record is sent to the Redis server so that the Redis server is enabled to accumulate accumulative values of all operations recorded last time according to the operation record and the accumulative values of all the operations after accumulation of current time are obtained, wherein the accumulative values are correlated with the channel information and a statistical record is formed, a non-synchronous mark is arranged for the updated statistical record, and the statistical record is allocated with a unique ID correlated with establishment time and the channel information; and the operation record and the statistical record are synchronized to a database. The method has advantages of being simple in structure, high in operation efficiency and high in statistical speed.

The present invention proposes a fast statistical method for mobile applications, including: the server receives the application data; the server splices the received application data and stores them in the redis buffer; obtains the reported data, and determines the reported data in combination with the information recorded in the database Whether the equipment is a newly added equipment, the acquired reported information and equipment type will be put into the file of the day according to the format; at the preset time, the new reported data of the day will be combined with the intermediate file of the one-dimensional calculation calculated on the previous day to generate a one-dimensional Aggregate result file, generate the one-dimensional calculation result file of the day at the same time; then perform two-dimensional total calculation, generate a two-dimensional total result file according to the new reported data of the day combined with the intermediate file of two-dimensional calculation calculated on the previous day, Generate the two-dimensional calculation result file of the current day. The invention can greatly reduce the time required for traversing historical data, thereby significantly reducing the time required for daily statistics. It is convenient for users to see daily data updates faster.

The invention provides a concurrent computational system and a method. The method comprises the following steps of: (1) setting a plurality of node databases; (2) partitioning mass data in a source database according to a key field and distributing the data among the node databases; (3) judging whether counted content is the partitioned key field; (4) is so, carrying out the non-repetition counting computation of the key field; and (5) if not, carrying out the grouped counting computation of the non-key field. The invention can greatly improve the counting speed of a large database and ensurethe statistics accuracy.

The invention relates to a port-based MAC address number counting method, monitoring various conditions able to cause the change of the number of the MAC addresses, and regulating the number of the MAC addresses according to the types of these conditions. It largely speeds up the counting and enhances the Ethernet exchanger property and uses hardware circuit to realize so as to save large numbers of hardware resources, optimizing the design and reducing the cost. At the same time, it can not only accurately and real-timely count the MAC address number learned by network access device port, real-timely ensures the port safety but also ensure the counting for the MAC address number learned by corresponding port does not influence the other functions of the Ethernet network, i.e. it counts the learned MAC addresses and simultaneously does not influence the normal work of the Ethernet exchanger.

The invention relates to a passenger flow direction recognition method and system based on dual laser ranging. The method includes: acquiring the first pedestrian feature passing through the detection surface of the laser detection device; acquiring the second pedestrian feature passing through the detection surface of the laser detection device; sequentially matching the entry time of the first pedestrian feature and the second pedestrian feature And / or departure time, height, width and position, if all matches pass, then the first pedestrian feature and the second pedestrian feature are the same pedestrian; compare the entry time and departure time in the first pedestrian feature and the second pedestrian feature and the highest point through one or more time parameters in the detection surface time, and identify the travel direction of the pedestrian in the detection channel according to the comparison result; obtain the passenger flow direction in the detection channel according to the travel direction of each pedestrian. The invention uses two laser scanning devices for distance measurement, does not need to track pedestrians, improves the statistical speed, and is applied to detection places with large passenger flows.

The present invention is a reliable method for verifying the blockage distribution of explosive stacks. Under the condition of ensuring that the pictures have sufficient resolution to display millimeter scale scales, multiple software picture processing functions are used to connect the advantages of their respective software in series, and software processing is considered. Precision and Limits of Error. The advantages of manual identification are fully applied to the area superposition, rock joints, bright and dark ridges and occlusion interruptions that cannot be accurately identified by the software in the picture. Combine different stages to select appropriate recognition and processing methods to obtain high-precision image data distribution. Finally, five new statistical calculation formulas were proposed to verify the blockiness distribution represented by the photos, so as to obtain a more reliable burst blockage distribution state.

Embodiments of the present invention provide a data processing method, device, device, and storage medium. The method reads the jth source data, reads the mth statistical item, and judges whether the status code carried by the jth source data can Divide the prime number carried by the mth statistical item; if the prime number carried by the mth statistical item cannot be divisible, use the mth statistical item to perform statistics on the jth source data, and set the state of the jth source data The code is updated to the first data, and according to the value of m, it is judged whether all statistical items have been read; if not, according to the initial value of m, m is decremented or incremented by 1, and the processed m as the new m, return to execute the step of reading the mth statistical item. Applying the solutions provided by the embodiments of the present invention reduces the amount of data described by the association relationship between source data and statistical items, thereby reducing the complexity of the statistical system for statistical data, achieving the purpose of orderly statistics, and improving efficiency.

The embodiment of the invention provides an inter-city road travel volume statistical method and device and electronic equipment. The inter-city road travel volume statistical method comprises the steps that the one-way vehicle traffic volume of the city boundary of a target area within the statistical time is acquired; obtaining a ratio R of the number of the rerecorded vehicles to the number ofthe actual traveling vehicles; obtaining the average passenger carrying capacity; and obtaining the inter-city road travel volume of the target area according to the one-way vehicle traffic volume, the proportion R and the average passenger carrying capacity. The intercity road travel volume can be obtained.