67results about How to "Reduce collection workload" patented technology

The invention discloses a power grid project manufacturing cost analysis data collecting system and method. The system comprises a user basic data maintenance module, a micro-blog file conversion engine and an Excel file import and export engine, wherein the user basic data maintenance module is used for managing a user, a department, a character and a resource, a user management module receives call of a service data processing module, the micro-blog file conversion engine is used for analyzing and processing micro-blog files, and converting the micro-blog files into files of the Data set format or the Xml format, the micro-blog files comprise 2008-edition manufacturing cost projects and 2012-edition settlement projects, the micro-blog file conversion engine receives call of the service data processing module, the Excel file import and export engine carries out import analyzing and export analyzing on an Excel of the xls format and an Excel of the xlsx format according to the configured files, a plurality of layers of column headers of the Excels can be identified through import analyzing, the needed Excel format can be generated automatically through export analyzing, and the Excel file import and export engine receives call of the service data processing module. According to the system and the method, the index data are firm in the follow-up upgrading and adjusting process.

The invention discloses an indoor fingerprint map constructing method based on crowdsourcing fingerprint, and belongs to the indoor positioning technology based on the fingerprint. The method is capable of solving the existent problems of constructing the indoor fingerprint map based on the crowdsourcing fingerprint that the positioning accuracy is not high and the calculated amount is larger because the crowdsourcing fingerprint position marking is not accurate, the dimensions are different and the distribution is not uniform, and is used for the technical field of the communication and wireless network. The method comprises a step of grid division, a step of crowdsourcing fingerprint acquisition, a step of crowdsourcing fingerprint resolution, a step of crowdsourcing fingerprint number judgment, a step of AP screening, a step of directly constructing grid fingerprint and a step of fingerprint surface fitting. The method is capable of reducing the workload of the fingerprint acquisition, improving the positioning accuracy, and reducing the workload of the fingerprint comparison.

The invention discloses an indoor positioning and path leading method based on mobile terminal inertial navigation. The indoor positioning and path leading method comprises the following steps: firstly collecting indoor path trajectory data in a subsection manner; performing optimizing processing on history path trajectory data by using a shortest path algorithm to obtain optimal path trajectory data; storing the optimal path trajectory data and uploading the stored optimal path trajectory data to a database; when a place of arrival is set by a user, obtaining corresponding most optimal path trajectory data from the database by mobile equipment, and performing path display and guidance. No extra equipment is needed, indoor inertial navigation and path guidance with relatively high precision can be achieved by just utilizing a built-in sensor of the mobile equipment, and the method has the characteristics of high practicability, high universality and low cost.

The invention provides an indoor map data building method and device and an indoor positioning method and device. The indoor map data building method comprises the steps that geomagnetic data, collected according to a preplanned indoor map collection path, of each collection point is obtained; according to the geomagnetic data of each collection point, the geomagnetic fingerprint of each collection point is determined; according to the geomagnetic fingerprint of each collection point, the geomagnetic fingerprint of each grid point obtained through partition of an indoor map is determined; the position information of each grid point and the corresponding geomagnetic fingerprint are used as indoor map data to be stored. The indoor positioning method on this basis comprises the steps that the geomagnetic data, collected in real time, of each collection point is obtained; according to the geomagnetic data, collected in real time, of each collection point, the corresponding geomagnetic fingerprint is determined; the determined geomagnetic fingerprint is matched with the indoor map data, and a positioning result is obtained through the position information, obtained through matching, of the grid points. By means of the indoor map data building method and device and the indoor positioning method and device, the geomagnetic data collection workload can be reduced.

The invention relates to an automatic vehicle-mounted three-dimensional laser point cloud facade classification and outline extraction method which comprises the following steps: (1) acquiring corresponding position and posture of a three-dimensional laser scanner at each scanning ring; (2) calculating the position relationship of adjacent points under theoretic vertical condition according to the position and the angular resolution of the scanner; (3) performing clustering analysis on facade points, thereby obtaining a building facade object list; (4) analyzing each facade object, screening, and excluding objects which do not belong to the building facade; (5) sequencing point cloud of each facade object in the length direction of the bottom side of the an outer box, and constructing a planar projection line object; (6) screening planar projection lines; (7) simplifying the planar projection lines, thereby obtaining a final projection line. Through the adoption of the method, facade point cloud and facade outline can be rapidly extracted, the processing process can be completely automatic without artificial interference, the facade acquisition workload in streetscape data production is greatly reduced, and the production cost is reduced.

The invention discloses an indoor pedestrian positioning system and method based on WIFI and magnetic field two-stage search. The system is mainly composed of a mobile terminal and a positioning server. When pedestrians walk indoors with a mobile terminal in hand, they first use WIFI for preliminary positioning. After the WIFI positioning determines the initial coordinates, they use the coordinates to search for magnetic field information within a radius of R to construct a temporary fingerprint database. The magnetic field information measured online is matched with the temporary fingerprint database, and finally the coordinates of the location to be located are obtained. This positioning method makes full use of the effectiveness of WIFI positioning coarse positioning and the accuracy of magnetic field positioning in a small area, while reducing the dependence on WIFI signals and improving the accuracy and reliability of positioning.

The invention discloses an indoor positioning map construction method based on trajectory correction and fingerprint improvement. The method comprises the following steps: dividing a target area intoa plurality of grids which are similar in areas and not overlapped, and the acquired Wi-Fi and sensor information of a pedestrian trajectory sample is used for constructing an indoor positioning map.Firstly, the original trajectory information is used for constructing the indoor positioning map, each grid in the map has a supporting set-grid structure, and besides the data such as RSS, the structure also comprises adaptability of the supporting set data storage confidence degree and fitting degree of the fingerprint AP reliability degree. For the surplus trajectory, a selectable filter schemeis used, the established map is used for fingerprint positioning the trajectory, and by combining the original trajectory information, a corrected trajectory can be obtained and can be used for improving the map. By adopting the method, while the indoor positioning map with the reasonable positioning precision is obtained, the correction of the trajectory is realized, and the trajectory is closerto an actual trajectory effect.

The invention discloses a coal mine underground positioning method based on a virtual training set and a Markov chain. According to the coal mine underground positioning method based on the virtual training set and the Markov chain, in an area, where a target needs to be positioned, under a coal mine, a plurality of beacon nodes are arranged and a plurality of sampling positions are selected reasonably, and an off-line virtual training set is established and an underground positioning algorithm is achieved according to the steps that an underground wireless sensor positioning network is constructed, the virtual training set is established in an off-line mode, on-line target positioning is conducted, and the Markov chain positioning algorithm based on the Gaussian model is formed. According to the coal mine underground positioning method based on the virtual training set and the Markov chain, wireless communication is applied to suitable coal mine underground communication and monitoring systems which are badly in need of wireless communication, research and implementation of the underground wireless positioning algorithm are achieved, and the theoretical research value and the market application value are high; the movement state of the target and the characteristics of node sampling are fully considered, serious hopping which can be caused by estimation of the position of the moving target is restrained, positioning precision is improved, and the position root-mean-square error is 3.217 m in a 80-meter position area.

The invention discloses an indoor corner landmark matching and identification method based on crowdsourcing trajectories. The method comprises the steps that landmark two-dimensional coordinate information of an indoor layout map is obtained; N signal sources are arranged in a target zone so that a user terminal can acquire signals of at least one signal source; marked and non-marked trajectories are acquired and are divided into trajectory windows; targeted characteristics are extracted from the marked trajectory windows, and a posture group identification classifier and a corner identification classifier are trained; the trained classifiers are utilized to identify corner landmarks of the non-marked trajectories, and RSS data of positive windows in the windows is extracted; a multidimensional scale analysis algorithm is utilized to reduce dimensionality so as to reach multiple dimensions, and clustering and matching are performed respectively; a voting algorithm is adopted to make effective sampling values correspond to certain corners according to clustering and matching results under multiple dimensions, and invalid sampling values are filtered; corner landmark fingerprints are generated according to the matching results. Compared with existing corner landmark identification method, the identification performance is improved.

The invention discloses a self-service all-in-one machine based on face detection and character recognition and a using method thereof. After a second-generation ID card is read and the identity of an applicant is verified, application information collection, application material photographing, identification picture photographing, picture quality detection and queuing number receiving are integrated, and the problem that queuing is needed multiple times for the multiple links is solved; according to the file photographing mode, application materials are collected in a paperless mode, the problem that paper materials are not likely to be circulated or stored is solved, efficiency is improved, and the cost is saved; according to the applicant face position, a camera is automatically moved to the best photographing position, automatic photographing, automatic cutting and automatic quality detection are performed, and the problem that manual picture photographing quality is not high is solved; according to the mode that the applicant types in application information in a self-service mode, the acceptance link information collection workload of an accept person is lowered, the accept person can pay more attention on the working aspect of material checking, and the acceptance working efficiency is improved.

The invention discloses a face recognition method, a mobile terminal and a computer readable storage medium. The method comprises the following steps of when receiving a face recognition instruction,turning on a camera of the mobile terminal, based on the first preset collection frequency, collecting a first face image of a target object, based on a first face image and a first preset duration, identifying a first face image, if the first preset duration is over, confirming that the first face image recognition fails, reducing the first preset collection frequency to a second preset collection frequency, controlling the camera to collect a second face image of the target object with the second preset collection frequency, identifying the second face image based on the second face image and a second preset duration, and if it is determined that the second face image is successfully identified within the second preset duration, turning off the camera. According to the invention, the accuracy of the face image recognition is improved, and the power consumption of the face recognition is reduced.

The present invention discloses an indoor location method based on fingerprint calibration and fingerprint conversion. The method comprises: dividing a plane object area into a plurality of mutually nonoverlapping location areas at first, and dividing each location area into grids with similar sizes; employing different terminal devices to perform multiple sampling of signal intensity in each grid, and obtaining a grid support fingerprint set; in each grid, calibrating unreceived signal intensities in different terminal devices; employing different frequency band thresholds to perform AP screening of APs of different frequency range, and obtaining a grid fingerprint; combining the grid fingerprint and a test fingerprint, and changing the modes of the grid fingerprint and the test fingerprint; and performing location through adoption of the NN algorithm. The indoor location method based on fingerprint calibration and fingerprint conversion can improve the location accuracy of a heterogeneous device, reduce the fingerprint workload and reduce the fingerprint collection workload.

The invention provides an establishing method for a three-dimensional model of a vine cane plant. The establishing method comprises the following specific steps: acquiring morphological feature information of vine, petiole and leaves of the vine cane plant; dividing the leaves into three insertion position zones according to the insertion position of the petiole on the vine; selecting a plurality of leaves from each insertion position zone and carrying out three-dimensional scanning on the selected leaves to establish a three-dimensional model for the leaves of the vine cane plant; establishing a three-dimensional model for the vine and petiole of the vine cane plant; and establishing an overall shape three-dimensional model for the vine cane plant. The establishing method provided by the invention greatly reduces the workload for data acquisition while causing the finally established three-dimensional model of the plant to have higher accuracy and precision, and so a simple and practical basic data preparation method is provided for such agricultural researches as crop plant-type analysis, calculation for physiological and ecological index of plant canopy, and the like.

The invention discloses a near field calibration method for an active phased array radar antenna. Problems existing in the prior art, such as wide calibration scanning range, low precision, high computational effort and the like, are mainly solved. The near field calibration method comprises the following steps: calibrating channel numbers, and establishing a channel mapping relation; configuringoff-net frequency parameters, and inputting interchannel spacing; sequentially powering up antenna units; setting channel amplitude of the antenna units to be 0 one by one, setting the phase as 0 degree, and setting poles for residual channels of the antenna units; setting the channel amplitude as 0, and setting the phase as 180 degrees; solving first real-time amplitude and a first real-time phase of the channel; setting the channel amplitude as 0, and sequentially setting the phases as K degrees and (180 plus K) degrees, and solving second real-time amplitude and a second real-time phase ofthe channel; reversing the data of the first real-time phase to the channels. The near field calibration method disclosed by the invention has the advantages of high calibration efficiency, low energyconsumption, high precision, less computational effort and the like, and has wide market prospects and popularization value in the technical field of active phased array radar antennas.

The invention relates to the technical field of data cleaning, and relates to an internet big data cleaning method which comprises the following specific steps: S1, extracting required data by utilizing a data acquisition module; S2, synchronizing the files in the oss by utilizing a crawler synchronization module; S3, packing the processed data by using a data cleaning module, and inserting the packed data into a kafaka queue of a KAFKA module; S4, reasonably allocating the data to a server queue by using a KAFKA module and an election algorithm, and transmitting the data to a database modulethrough a network; and S5, monitoring the data transmitted by the KAFKA module by utilizing the database module, and expanding monitoring statistics by utilizing filter-chainshain. According to the invention, the data cleaning module effectively classifies, integrates and cleans the data into each standardized database module again, so that the data cleaning accuracy is improved, the defect of lowscreening and cleaning efficiency caused by data loss of big data in the prior art is overcome, and the purpose of quickly and accurately screening and cleaning the data is achieved.

The invention discloses an environment pollution monitoring system and method. The system comprises an environment monitoring device, which is in data connection with computer equipment and is used for collecting pollutant monitoring data and sending the pollutant monitoring data to the computer equipment; and the computer equipment, which is used for determining an environment pollution monitoring result according to the pollutant monitoring data and preset reference data. The system and method can obtain the monitoring data of the environment monitoring device in real time, thereby reducingprobability of abnormal pollutant emission.

The invention relates to the field of LED bulb preparation technology, and discloses a sintering device of a LED bulb, comprising a first gear motor, a drive sprocket, a driven sprocket and an incomplete gear, wherein a chain transmission is arranged between the drive sprocket and the driven sprocket, and the incomplete gear is engaged with the drive sprocket, and connected to the first gear motor; a station slot is arranged on a tooth chain of which the outside is provided with a sintering nozzle; a gas tank is arranged above the tooth chain, and a second gear motor is arranged above the gas tank, and connected to the gas tank on which an air cylinder is arranged; the bottom of the gas tank is connected to cover plates of which the lower ends are all connected to rotary air bags of which the upper parts are provided with air outlet pipes distributed in the tangential direction of the outer circumference of the rotary air bags, and an annular conveying trough is arranged below the gas tank. The sintering device of the LED bulb disclosed by the invention is able to achieve automatic calibration of lamp housing and avoid distortion of the lamp housing.

The invention relates to an indoor scene point cloud part semantic information recognition method, and the method specifically comprises the following steps: obtaining three-dimensional laser point cloud data of an unknown semantic category, putting the three-dimensional laser point cloud data into point cloud data of a known category, and obtaining a known-unknown confused point cloud data set; extracting global features of the point cloud data set in the high-dimensional space; dimension reduction processing is carried out on the global features in the high-dimensional space; clustering theclusters obtained after dimension reduction to obtain a cluster set of samples in a low-dimensional space; on the basis of low-dimensional spatial clustering, for sample points in each cluster, a known semantic sample and an unknown semantic sample are found respectively, and semantic assignment is performed on the unknown semantic sample by using category information of the known semantic sample.Compared with the prior art, the method has the advantages that semantic information of a large batch of object point clouds can be obtained only by using a small number of known samples; the methodis low in memory overhead, obviously improves the calculation efficiency, and has low requirements on a computer.

The invention discloses a sign language recognition and skeleton generation method based on RNN, and the method specifically comprises the following steps: step 1, collecting a skeleton frame sequenceof a Chinese sign language through employing a Kinect RGB-D data set, inputting the skeleton frame sequence into an RNN hidden layer for twice coding reconstruction, and calculating and outputting aChinese sign language semantic label; step 2, according to Chinese sign language semantics, generating a skeleton sequence with the same probability density distribution as the encoded probability density distribution in the step 1, and decoding the skeleton sequence through a secondary probability model; and step 3, inputting the skeleton sequence decoded in the step 2 into the step 1 for identification, calculating the loss amount of generated data and real data, returning errors, continuously updating system parameters and minimizing a loss function, thereby finally obtaining a skeleton identification and generation framework for identification and generation of Chinese sign language. When CSL semanteme is given, various Chinese sign language skeleton sequences with different styles canbe automatically identified and drawn by using the method, and communication between deaf people and ordinary people is facilitated.

The embodiment of the invention discloses a method and a device for inverting rainfall distribution by using a base station signal, equipment and a medium, and the method comprises the steps: obtaining the measurement information which is collected by each base station in each grid in a whole network base station grid diagram according to the whole network base station grid diagram of rainfall distribution, wherein the measurement information comprises a measurement report reported by each terminal meeting a rainfall sampling condition in the base station; For each base station, according to the attribute information of the base station, the parameter information corresponding to the base station and used for measuring the rainfall and the measurement report, obtaining attenuation, causedby rainfall, of each terminal in the base station; obtaining rainfall corresponding to the base station according to attenuation of all terminals in the base station caused by rainfall; And accordingto the rainfall corresponding to all the base stations in each grid, determining the rainfall of the grid area so as to obtain rainfall distribution information in a corresponding whole network range.According to the method, special measurement equipment does not need to be mounted in rainfall distribution measurement, so that the cost can be effectively reduced.

The invention discloses an indoor space positioning equipment and method based on a fingerprint positioning and inertial navigation system. The indoor space positioning equipment comprises an inertialsensor, a magnetometer, a central processing unit, a barometer and a GPS navigation device. The inertial sensor, the magnetometer, the central processing unit, the barometer and the GPS navigation device are all arranged in the indoor space positioning equipment. The inertial sensor, the magnetometer, the barometer and the GPS navigation device are connected with the central processing unit, a touch display screen and a wireless receiving module are arranged on the indoor space positioning equipment, and the wireless receiving module is connected with the central processing unit and the touchdisplay screen. And the indoor space positioning equipment is used for acquiring data and accurately positioning the indoor space. The whole-field positioning experience is improved, accurate indoorspace navigation information can be obtained more conveniently, and the use requirements of people can be better met.

The invention discloses a target location method based on an improved spectral clustering and cross reference technology. The system comprises an underground location system, a ground data dispatchingcenter, a position node network, a signal emitter, a signal receiver, an underground exchanger, an underground location computer, and a bus; devices applied to the underground are intrinsically safe.The method is a underground coal mine worker location method based on the improved spectral clustering and cross reference technology; the method carries out location system position joint grid modeling according to a mine laneway environment; fingerprint data for meeting demand of multi-person location is acquired through the cross reference technology during the fingerprint collecting stage; the data training is carried out by using the improved spectral clustering algorithm in the offline training stage according to the position fingerprint data acquired in the fingerprint collecting stage, the fingerprint database is structured; through the improved spectral clustering algorithm, the real-time RSS data of the location target is matched with the offline fingerprint data in the online location matching stage, thus the accurate position of a located person is acquired. The method is high in location precision, short in running time, and very good in robustness and universality.

The invention discloses a voice data sample acquisition system and method based on a verification code. A user terminal is connected with a voice verification and acquisition module, a user sends a verification request through the user terminal, and the voice verification and acquisition module mainly consisting of a sample acquisition server, a sample database, a calling terminal and a voice-to-text server is used for providing verification services for the user terminal; during use, the voice verification and acquisition module sends out standard text sample data according to the verification request, the user reads text content of the standard text sample data through the user terminal according to an instruction, and then a voice sample is obtained. The voice verification and acquisition module carries out voice-to-text processing on the voice sample to obtain a real-time text sample, carries out verification and comparison and acquires the voice sample if the comparison is successful or discards the voice sample if the comparison fails. In the whole process, only the user needs to participate in verification, and on-site acquisition is not required. Compared with a traditionalmanual input method, the method has the advantages that the voice sample acquisition workload is small, and the input of the sampling cost is lower.

The embodiment of the invention provides a visiting traffic control method and a visiting traffic control device. Visiting traffic is used for visiting an intranet or an extranet. The method comprises the steps of extracting a target address from the received visiting traffic; querying interface information corresponding to the target address from a preset hardware transfer table, and using the found interface information to serve as outgoing interface information; identifying a network type corresponding to the visiting traffic according to the outgoing interface information; and controlling the transfer of the visiting traffic according to the network type. According to the method and the device provided by the embodiment of the invention, which target IPs belong to the intranet and which IPs belong to the extranet do not need to be distinguished, the trouble of collecting a lots of intranet IP address is avoided, workload is reduced, and collection efficiency is improved.

The invention discloses an indoor positioning map construction method based on trajectory correction and fingerprint improvement. The method comprises the following steps: dividing a target area intoa plurality of grids which are similar in areas and not overlapped, and the acquired Wi-Fi and sensor information of a pedestrian trajectory sample is used for constructing an indoor positioning map.Firstly, the original trajectory information is used for constructing the indoor positioning map, each grid in the map has a supporting set-grid structure, and besides the data such as RSS, the structure also comprises adaptability of the supporting set data storage confidence degree and fitting degree of the fingerprint AP reliability degree. For the surplus trajectory, a selectable filter schemeis used, the established map is used for fingerprint positioning the trajectory, and by combining the original trajectory information, a corrected trajectory can be obtained and can be used for improving the map. By adopting the method, while the indoor positioning map with the reasonable positioning precision is obtained, the correction of the trajectory is realized, and the trajectory is closerto an actual trajectory effect.

The invention discloses an infrared image correction method. The method comprises the steps: acquiring the current temperature of an infrared sensor; judging whether the current temperature is one ofa plurality of pre-selected temperatures or not; if the current temperature is the pre-selected temperature, collecting and storing background data; and determining a difference value of the background data of the adjacent pre-selected temperatures, and correcting the infrared image according to the difference value. Only the background data at the pre-selected temperature needs to be collected and stored, so that the collection workload is reduced, time is saved, and the correction speed of the infrared image is increased. In addition, the invention further provides a device, electronic equipment and a computer readable storage medium with the advantages.

The invention puts forward a power outage-affected user information obtaining method and device. When fault power outage occurs, a first switch which is displaced on a fault line is obtained, displacement time sequence information of the first switch is obtained, a fault power outage voltage transformer controlled via the first switch is obtained according to a power grid topology structure corresponding to the fault line, power outage starting time and power outage ending time of the fault power outage voltage transformer controlled by the first switch are obtained according to the displacement time sequence information of the first switch, fault power outage-affected users controlled by the fault power outage voltage transformer are obtained according to the power grid topology structure corresponding to the fault line, information of the fault-affected users is obtained according to the power outage starting time and power outage ending time of the fault power outage voltage transformer, accuracy of the obtained information of the power outage-affected users can be ensured, and workloads of collecting information of the power outage-affected users can be reduced.

The invention discloses a micro-lysimeter soil sample collecting method which is designed in order to reducing the damage on a soil sample original state. The micro-lysimeter soil sample collecting method comprises the steps of adopting the same original point as a circular center, and drawing a collecting circle adopting a first diameter as the diameter, and a hole digging circle adopting a second diameter as the diameter in a soil sample collecting area center; on the sample collecting circle, adopting a soil sample collecting cutter to insert into a lower soil layer, separating a cylindrical soil sample to be collected from soil around the soil sample, digging and removing a half of soil at an annular structure part between the collecting circle and the hole digging circle, and forminga notch under the cylinder to be collected; jacking the cylindrical soil sample to be collected, and bringing back to a sample plot for carrying out a soil lysimeter experiment. According to the micro-lysimeter soil sample collecting method provided by the invention, the occurrence of the phenomenon that a soil sample is too big or too small or a shape drawing does not conform to the requirement of a micro-lysimeter on the soil sample after a soil sample is collected through a traditional method is avoided, and the workload of follow-up processing after the soil sample is collected is reducedto a large extent.

The invention discloses a single-target editing T0 generation tobacco plant screening method. The single-target editing T0 generation tobacco plant screening method comprises the steps of 1, adoptinga palm computer to collect sample information, and connecting the palm computer with a server terminal wirelessly; 2, managing tobacco leaf samples according to the result of wireless connection between the palm computer and the server terminal, screening tobacco plants which need tobacco leaf sample connection in real time, collecting, signing in, treating, storing, distributing, detecting and the tobacco leaf samples, storing and treating remained detected samples, feeding back detection results to a tobacco plant planting staff, and completing screening of the single-target gene editing T0generation tobacco plants; the T0 generation tobacco plants are gene editing regrowth tobacco plants. By adopting the screening method, the similar single-target gene editing T0 generation tobacco plants in large quantity can be screened efficiently and precisely.

The invention discloses a method for screening a T1 generation tobacco strain of mixed library gene editing. The method comprises the steps of (1) collecting sample information by using a handheld computer and wirelessly connecting with a server terminal; (2) according to a wireless connection result between the handheld computer and the server terminal, managing a tobacco leaf sample to achieve screening, collection of the tobacco leaf sample, receipt, processing, storage, sample delivery, testing, storage of residual samples and disposal of the residual samples of the tobacco strain which requires tobacco leaf sample collection in rear time; feeding testing results back to tobacco planters, and completing the screening of the T1 generation tobacco strain of the mixed library gene editing. The method can achieve efficient and accurate screening of similar massive amount of the T1 generation tobacco strain of the mixed library gene editing.