212 results about "Collection period" patented technology

A predictive model, for example, a neural network, evaluates individual debt holder accounts and predicts the amount that will be collected on each account based on learned relationships among known variables. The predictive model is generated using historical data of delinquent debt accounts, the collection methods used to collect the debts in the accounts, and the success of the collection methods. In one embodiment, the predictive model is generated using profiles of delinquent debt accounts summarizing patterns of events in the accounts, and the success of the collection effort in each account. In another embodiment, the predictive model includes a mathematical representation of the collector's notes created during the collection period for each account.

An automatic breath collecting and sampling system, which is preferably carried by the subject, or otherwise kept with him or near him, for the recommended duration of the collection period. The system collects samples in separate switchable containers, either at predetermined time intervals, or in response to an automatic stimulus, which could be related to the breath content itself, or to another physiological signal, such as the subject s pulse rate, breath rate, blood pressure, or temperature, or in response to a signal related to an environmental effect, such as the presence of a strong concentration in the air of a foreign gas, which could be detected by an electrochemical sensor, or manually by the subject after being prompted by the system. After collection of the requisite number of separate containers, they may be detached and sent for analysis or other treatment.

The present invention discloses an electric energy meter calibration stand and a calibration method. The electric energy meter comprises a power source, a standard electric energy meter and an electric energy meter position. Wherein, the power source outputs AC electric power to the standard electric energy meter and an electric energy meter to be calibrated is inserted in the electric energy meter position to respectively generate a standard electric energy pulse and a calibrated electric energy pulse. The electric energy meter calibration stand is additionally composed of an electric energy error calculator. The electric energy error calculator is composed of a counter and a timer, of which the counter collects and works out quantity of the standard electric energy pulse and the calibrated electric energy pulse. Moreover, the timer collects and measures width of the standard electric energy pulse in each period, thus calculating quantity of the standard electric energy pulse in the collection period and accurately working out pulse error of the calibrated electric energy meter. The error calculator of the electric energy meter calibration stand of the present invention extends quantity of the standard electric energy pulse to decimal fraction, reduces pulse error and improves calibration accuracy with the calibrated electric energy pulse as a collection reference.

The invention provides a large-scale distributed data collection system and method, and belongs to the technical field of data collection. The system comprises a task distributed node module, a management node module, a task warehouse module and a collection node module. A management node is used for providing a distributed synergic service, receiving and managing registered information of a collection node and a task distributed node, and performing communication on the collection node and the task distributed node on the basis of the certain frequency; the task distributed node is used for setting, distributing and monitoring collection tasks; a task warehouse is used for receiving and storing a collection task sent by the task distribution node; the collection node is used for obtaining the collection task from a task input warehouse and completing collection of corresponding data in an on-site control station; the collection task executed by the collection node can dynamically change according to user settings, a certain or some faults in the task distribution node and the collection node will not affect the current collection period collection result, and the large-scale distributed data collection system has the high flexibility, high tolerance and high reliability.

A method for detecting secondary metabolites in fresh tobacco leaves by using a derivatization GC-MS (Gas Chromatography-Mass Spectrometer) is characterized by comprising the steps: quickly collecting new tobacco leaves and quickly freezing the new tobacco leaves by using liquid nitrogen on the site, crushing the tobacco leaves after removing the moisture in the tobacco leaves by means of freeze drying, extracting the secondary metabolites from tobacco powder by using a solvent, drying the extracted liquid supernatant, then performing oximation reaction and silane derivatization on the dried extractive, and finally performing analysis by the GC-MS. The method has the prominent advantages that firstly, a method suitable for extracting the secondary metabolites in the fresh tobacco leaves is developed. As the area of the tobacco leaves is larger, the secondary metabolites are not uniformly distributed in the whole tobacco leaves, and the tobacco leaves are not applicable to the punching sampling technique. However, according to a tobacco leave collection and extraction method provided by the invention, the collection period and the metabolite composition of the tobacco leaves at the collected part can be truly reflected. Secondly, most of the important metabolites of the tobacco leaves such as saccharides, amino acids, organic acids, terpene alcohols in the fresh tobacco leaves can be simultaneously detected, and the method has the characteristics of high throughput detection.

The invention relates to a low power consumption wireless active temperature label which comprises a temperature sensor, a radio frequency electronic module, a processor module, a power module and an antenna, wherein the temperature sensor is used for measuring the temperature value of a to-be-detected object; the processor module is used for controlling the work of all the other modules, acquiring the temperature value of the to-be-detected object measured by the temperature sensor, receiving user commands and outputting prompting message, and is in an inoperative state when not used; the radio frequency electronic module is used for storing temperature value information and sending temperature value information to an external card reader; and the power module is used for providing working voltage for the low power consumption wireless active temperature label. The low power consumption wireless active temperature label provided by the invention has a temperature measuring function as well as the functions of an electronic tag, all the temperature collection period, data sending period and sending frequency can be adjusted automatically, battery capacity check can be performed too, and the low power consumption wireless active temperature label has the characteristics of initiative submission, passive inquiry, low power consumption and the like.

Differential scanning is disclosed. A scan collection period is determined. A system is monitored to detect object events during the scan collection period, and a scan list may be updated with information regarding objects to be scanned, based on some of the object events. Objects are scanned based on the information in the scan list. Information regarding objects associated with object events occurring outside the scan collection period may be removed from the scan list.

The embodiment of the invention discloses a data collecting and processing method and apparatus. The method comprises the following steps: a monitored device configures a preset collection rule for apreset collection script, wherein the preset collection rule comprises a target collection period and a target storage format; the collection script collects target data of the monitored device according to the target collection period, and the collection script stores the target data in a shared memory queue of a preset proxy service component according to the target storage format; and the proxyservice component sends the target data in the shared memory queue to a background server according to a preset sending period, so that the background server monitors the monitored device according to the target data, wherein the collection script and the proxy service component are preset in the monitored device. By adoption of the data collecting and processing method and apparatus disclosed bythe invention, the visual monitoring difficulty of the performance indexes can be reduced, and the error reasons can be located accurately and quickly.

The invention relates to a magneto-electrotelluric signal collection method of magneto-electrotelluric exploration, which is characterized in that the frequency which is far more than the storage sampling frequency is used for collecting a signal, when filter wave and trapped wave are extracted, a frequency band which is produced simultaneously is used to store a digital signal, data of a frequency band 3 is continuously collected, data of a frequency band 1 and a frequency band 2 is collected within the collection period of the frequency band 3, on the basis of continuous or discontinuous collection of the data of frequency bands 1 and 2, the magneto-electrotelluric signal noise and interference strength are compared and recorded, if the noise is more than the threshold value corresponding to the data of the frequency band, relevant record is abandoned, and if the noise is lower than the threshold value, the record is stored. The method can obtain correct magneto-electrotelluric signal and can improve the collection quality of the high-frequency and the middle-frequency data.

Scanning is disclosed. A scan collection period is determined. A system is monitored to detect object events during the scan collection period, and differential and incremental scan lists may be updated with information regarding objects to be scanned, based on some of the object events. Objects are scanned based on the information in the incremental scan list. Objects are scanned based on the information in the differential scan list. The incremental scan may be performed more than once before the differential scan is performed. Information regarding objects associated with object events occurring outside the scan collection period may be removed from the scan list.

The invention discloses bacillus velezensis (Bacillus velezensis) for preventing and treating rice blast and the application of the bacillus velezensis, and belongs to the technical field of microorganisms. The bacillus velezensis (Bacillus velezensis) E69 disclosed by the invention is preserved in China General Microbiological Culture Collection Center (CGMCC) of China Committee for Culture Collection of Microorganisms, the preservation date is 5 September, 2018, and the preservation number is CGMCC NO.16427. The bacillus velezensis E69 provided by the invention can prevent and treat rice blast of rice, the new field of application of the bacillus velezensis is opened up, and the bacillus velezensis has good preventing effects on the rice blast of the rice, has significant bacterium restraining effects on various plant pathogenic bacteria, is high in preventing and treating efficiency, has good effects of preventing and treating the rice blast of the rice having different varieties inthe south and the north of China, and can reduce the yield loss of rice industry caused by plant diseases which arise suddenly near the collection period of the rice to a larger extent.

A method for storing and retrieving real-time monitored data of large-volume equipment comprises storing data files in a second-level directory according to year and month; and generating one index file and data file everyday while real-timely recording monitored information, wherein the index file includes an index contents and a periodic data index; and the periodic data index is used for recording the specific position address and the data length of various types of information in the data file in each collection period, and the number of bytes is increased or reduced according to the actual condition to realize the optimal use effect. When a user inputs a query term and selects the equipment type to be queried, the data type, the start time t1 and the stop time t2, all information values meeting the query term can be retrieved from the current data file by single matching and calculation. The invention provides a method for storing and retrieving real-time monitored data of large-volume equipment.

The invention provides a method and device for accurately obtaining an AP (Access Point) position of a POI (Point of Interest). The method includes: S1: pre-establishing a POI database and an SSID database; S2: according to SSID information in user positioning requests collected in a collection period, retrieving the SSID database and obtaining a corresponding POI and according to an MAC address in the user requests collected in the collection period and user coordinates obtained through the positioning, calculating the AP position of the POI; S3: using the accurate position of the POI stored in the POI database, correcting the AP position of the POI, obtained through the calculation. The method and device for obtaining the AP position of the POI is capable of automatically calculating the AP position of the POI and using the actual position of the POI further to correct the AP position obtained through the calculation so as to obtain accurate position information of the AP.

The invention provides a data collection task changing method and device. The method comprises the steps of detecting whether a communication index configuration file is changed or not according to a preset time interval; changing collection tasks according to a configuration file attribute of a changed configuration file, wherein the configuration file attribute comprises collection objects, period types and parameter names. According to the method and the device, the docking with a communication management system is realized; real-time traffic data is provided for the communication management system through a standard interface; functions of setting a traffic collection period and synchronizing traffic data are realized according to the configuration of the communication management system; measurement tasks are dynamically loaded and changed without halt; the system configuration can be loaded without restarting software; and the collection tasks are scheduled according to the configuration.

The embodiment of the invention provides an image fusion method and device, an electronic device and a computer readable storage medium. The method comprises the following steps: firstly, obtaining each frame of image obtained through at least two times of exposure in an image collection period; determining an infrared brightness sensing image on the basis of one frame of each collected frame of image; determining a visible light color image based on the rest images in each frame of collected image; and finally, fusing the determined infrared brightness sensing image and the visible light color image to obtain a fused image. According to the scheme provided by the embodiment of the invention, each frame of image obtained through at least two times of exposure in an image acquisition periodcan be acquired by an image sensor. Therefore, as long as one image sensor exists in the device, image collection and fusion can be completed to improve the image quality under the condition of low illumination, so that the device provided by the embodiment of the invention is good in adaptability and convenient to apply.

The invention discloses an H infinity information fusion method for WSN Wireless Sensors Network/INS Inertial Navigation System high-precision real-time combination and navigation. The method is realized through the following steps: setting the space error and the speed error of an unknown node at each moment in two directions as a state vector; setting the calculated space error and the calculated speed error at each moment as per the data obtained and collected from two systems as the observation vector output; rebuilding an asymptotically stable system, namely an H infinity filter, through the state vector and the observation vector output; estimating the optimal state vector at each moment through the H infinity filter; and at the same time, adding the uncertainty description of the data collection period when a system equation of the H infinity filter is built, so as to be more approximate to the condition that the adopted collection period at each moment is slightly uncertain due to the hardware in reality. The precision of the estimation on the state obtained by the filter is higher than that of the traditional filtering method, and the robustness of the filter is stronger.

The invention discloses a lip language recognition identity verification method and device. The method comprises the steps that structural light is projected to the face of a user on whom lip language recognition is performed, and a plurality of structural light images obtained after current user face modulation are photographed according to a preset collection period; phase information corresponding to the lip portion position pixel in the multiple structural light images is demodulated, and a plurality of three-dimensional lip images are obtained; corresponding lip-shaped feature information and lip shape difference information of the multiple three-dimensional lip images according to time sequence changes are extracted from the multiple three-dimensional lip images; lip shape feature information and lip shape difference information are matched by applying preset lip language model base sample feature information, and lip language information corresponding to the successfully-matched sample feature information is obtained; the lip language information and the preset verification information are compared; if the comparison result is that the lip language information and the preset verification information are the same, the user identity is verified, and the corresponding operation is legally authorized. Accordingly, the identity verification modes are enriched, and the identity verification accuracy is improved.

The invention discloses a turpentine collection method, a lipotrophic agent used in the method in a matching manner and a method for preparing the lipotrophic agent. The collection method comprises the following steps of: pre-treating a pine tree to be subjected to turpentine collection by spraying 0.05 percent methyl jasmonate; formally cutting and applying the lipotrophic agent; subsequently, cutting and applying the lipotrophic agent every other 15 days until the turpentine collection period in the current year comes to an end; and continuously cutting on the upper edge of the cutting plane of the last year for the collection cutting of the next year. The lipotrophic agent comprises the following components: 18 to 33 parts of 98 percent concentrated sulphuric acid, 150 to 135 parts of water, 25 parts of 40 percent ethephon, 4 parts of vaseline, 2 parts of AE (Ethyl Alcohol Polyoxyethylene Ether), 1 part of CDHT (Cetyl Alcohol), 75 to 65 parts of white carbon black, and 75 to 65 parts of glutinous rice flour. The method for preparing the lipotrophic agent comprises the following steps of: diluting the concentrated sulphuric acid; adding the ethephon reagent; adding the vaseline,the AE and the CDHT; and adding the white carbon black and the glutinous rice flour. According to the invention, the advantages of small cut plane load rate, low cutting frequency, prolonged collection cutting age limit of a single pine tree, increased turpentine yield of the single pine tree and increased production efficiency are achieved.

There are provided a data preprocessing device and a method thereof. A data preprocessing device according to an embodiment of the present disclosure includes a risk level analyzing unit configured to calculate a failure risk level of a target system using failure history information of the target system and characteristic information of the target system; a collection period setting unit configured to determine a data collection period from the target system according to the calculated failure risk level; and a preprocessing unit configured to preprocess data collected from the target system according to the data collection period.