112results about How to "Improve investigation efficiency" patented technology

The invention discloses a system and method for quickly inspecting a tunnel defect based on machine vision. The system is arranged on an investigation bearing vehicle. The system comprises a machine vision sub-system used for acquiring the to-be-investigated object image data by a CCD (Charge Coupled Device) camera, a laser ranging sub-system used for measuring an imaging distance of an image acquired by the machine vision sub-system by a laser ranging method, a photoelectric speed measuring sub-system used for providing a corresponding coordinate of the acquired image in a tunnel, a control sub-system used for controlling the laser ranging sub-system and the photoelectric speed measuring sub-system, transmitting the data acquired by the laser ranging sub-system and the photoelectric speed measuring sub-system to a data processing sub-system and triggering the machine vision sub-system to acquire an image and transmit the image to the data processing sub-system, a data processing sub-system used for processing the image acquired by the machine vision sub-system according to the data from the control sub-system, and a power supply sub-system used for providing voltage for other sub-systems. According to the invention, the general tunnel defect can be regularly and quickly inspected and the inspecting process is safe, quick, full-automatic and real-time without influencing normal work of the tunnel.

The invention relates to a public security big data analysis and processing system and method. The system comprises an access analysis module, a calculation analysis module and a support service module. The access analysis module is used for adapting to various different data sources, real-time data is written into a distributed real-time message queue Kafka, offline batch data is stored in a bigdata platform HDFS by a big data component Hive for processing mass data, and unified access of various data under different application scenes is realized. The calculation and analysis module achieves the functions of data distribution type real-time calculation and analysis, real-time monitoring and comparison, real-time alarm pushing, mass data statistical analysis, mass data collision and thelike. And the support service module realizes full-text retrieval service, deployment and control early warning service, study and judgment analysis service, data collision service, GIS service and the like, and provides a service interface for upper application. The technical problems that data formats of all service systems in the public security system are not uniform, the systems are incompatible, information islands are formed, and the association value of the data cannot be generated are solved.

The invention discloses a broadcast guarantee method based on a speech recognition technology, relates to the technical field of illegal broadcast monitoring, and aims to solve the problems of low monitoring efficiency and investigating lag caused by a reason that the existing ''black broadcast'' discovery mostly depends on manual monitoring or citizens' complaints. The method comprises the steps of scanning a frequency band to discover signal frequency points in the broadcast frequency band, performing intermediate frequency monitoring and record listening on corresponding signals in sequence to obtain signal audio data, segmenting and classifying the audio data, extracting speech audio data, converting the broadcast speech into a text via the speech recognition technology, retrieving the recognized text according to a keyword library, judging whether the signals are ''black broadcast'' according to the retrieval result, and repeating the processes, thereby realizing automation of the service flow and the ''black broadcast'' discovery.

The invention discloses a multi-channel investigation method and is applied to a multi-channel investigation system. The system comprises a background server and at least two investigation terminals connected with the background server. The multi-channel investigation method comprises the following steps: the background server configuring an investigation theme and problem content to generate an investigation questionnaire; the background server, according to a preset rule, pushing the investigation questionnaire to the corresponding investigation terminal; the investigation terminals feeding an investigation result to the background server; the background server acquiring and identifying the investigation result; and the background server generating a statistical list. According to the invention, integration of multi-channel investigation modes is realized, the background server pushes the investigation questionnaire to the corresponding investigation terminals according to the preset rule, and a client can select a proper investigation terminal according to his own condition, such that the investigation efficiency is improved, the investigation cost is decreased, and client experience is improved. The invention further discloses a multi-channel investigation system.

The invention provides a rural collective land property right information investigation system and a rural collective land property right information investigation method. The rural collective land property right information investigation system comprises a mobile terminal, measuring equipment, an electronic certificate, a dynamic rural collective land supervisory platform and a land information database, wherein the electronic certificate is a land property electronic certificate; an electronic tag is placed in the electronic certificate; the measuring equipment is used for measuring land registration space information of an investigated land; the mobile terminal comprises a reader-writer module, a GPS (global positioning system) and multimedia information entry module, a land property information acquiring module, a graphic drawing module, a communication module, a GPS module and an image acquiring device; and the dynamic rural collective land supervisory platform is used for comprehensively managing and maintaining states of lands. The high-precision measuring equipment is used for measuring rural collective lands; parcel maps can be drawn and attribute information can be displayed on the spot, and land information is recorded through the electronic tag; and the dynamic land supervisory platform is used for performing routine maintenance on the land database, and the land investigation efficiency is improved comprehensively.

The invention discloses a frame type double-bag drag net for assessing euphausiasuperba resource, wherein a polyethylene diamond-mesh netting is adopted; the drag net is characterized in that a single-layer small-mesh four-piece frame structure is adopted; the mesh of the netting at the opening of the net is 50 mm, the perimeter of the opening of the net is 30 meters, and the height of the netting is 2 meters; the opening of the net is sewed on a border rope; the border rope is connected with upper, lower and lateral frames; the length of back and abdominal frames is 4 meters, and the height of the lateral frame is 2 meters; the mesh of the netting on the rear part of the net body is 25 mm, the height of the netting is 2.25 m, the back and abdominal single-piece nettings on the front part are sewed with the two nettings at the rear part respectively, and the lateral net netting on the front part is sewed with the single-piece netting at the rear part; the mesh of the netting of a net bag is 15 mm, the height of the netting of the net bag is 1.2 m, the rear part of the net body is sewed with the front part of the net bag to form two net bags; one floater with buoyancy of 5 kg is arranged on the two sides of the upper frame of the net respectively; an iron chain with gravity force of 10 kg is additionally arranged on the two sides of the lower frame respectively; three cross ropes are adopted by the upper frame; two cross ropes are adopted by the lower frame; and the four cross ropes are crossed and then are connected with one drag rope by using a shackle.

The invention provides a non-growing season grass and livestock balance evaluation method based on an unmanned aerial vehicle LIDAR aerial survey technology. The defect that dry vegetation and herbivorous animal information cannot be monitored through traditional satellite remote sensing can be effectively overcome; grassland balance monitoring is carried out for grassland in a withered grass period; the method comprises the following steps: classifying LIDAR point cloud data of the unmanned aerial vehicle based on a terrain extraction method of slope-angle-distance limitation, and calculatinggrassland vegetation coverage and canopy height in a non-growing season according to ground points and vegetation points obtained by classification to realize grassland above-ground biomass inversionin the non-growing season; based on an object-oriented and supervised classification method, obtaining parameters such as an available forage grass proportion and a grassland reasonable utilization rate, and calculating a theoretical livestock capacity; calculating the actual livestock capacity according to the herbivorous animal types, the herbivorous animal quantity and the sheep unit conversion formula of each animal; and finally, according to the theoretical livestock carrying capacity and the actual livestock carrying capacity, calculating the overload rate, the available days of the remaining forage grass and the forage grass amount needing supplementary feeding, and completing the evaluation of the non-growing season grass and livestock balance condition.

The invention discloses a method for assisting in surveying a sewage draining exit based on oblique photography of an unmanned aerial vehicle. The method comprises the following steps: planning an oblique photography measurement route; obtaining image data through aerial photography of the unmanned aerial vehicle; preprocessing the obtained image data to obtain POS coordinate data; arranging and measuring image control points to obtain a result value of a local coordinate system; performing multi-view dense matching in combination with POS coordinate data feature points to obtain a dense pointcloud framework network result, and performing aerial triangulation adjustment in combination with a coordinate system result value to obtain high-precision dense feature point cloud framework network data; constructing a three-dimensional live-action model by utilizing high-precision dense feature point cloud data based on automatic texture mapping; and importing the three-dimensional live-action model into a GIS platform to identify and extract a pollution source drain outlet. The method improves the operation environment, improves the investigation efficiency, reduces the labor cost, provides visual scientific data support for the research of the space-time distribution of the sewage draining exit, and assists a designer in the treatment of a water environment pollution source.

The invention discloses a method for utilizing an angle gauge to measure forest stand crown density and belongs to forest resource survey methods. The method is characterized in that the angle gauge serves as a tool, by adopting an angle gauge counting survey method and measuring a diameter at breast height of each counted tree, diameter class distribution per hectare is obtained, the plant number of each diameter class per hectare in a forest stand can be calculated, corresponding crown breadth values of trees of each diameter class are found out according to an established unary diameter crown table, and the forest stand crown density of a surveyed area can be obtained through a crown density principle. The advantages that the angle gauge is light, convenient, flexible and low in cost are fully utilized, cost of field survey is reduced, and efficiency of office work treatment and field operation of the forest stand crown density is improved. By establishing the unary diameter crown table taking various crown breadth influence factors into account, calculating precision of the forest stand crown density is greatly improved, and the shortcomings that in previous forest stand crown density survey, the precision is low if methods are simple, and the process is complex if the precision is high are overcome.

The invention provides a direct-pushing-type rapid drilling and sampling system for a polluted land mass. The direct-pushing-type rapid drilling and sampling system comprises a truck. A twist drill and an impact hammer are arranged on the truck. The truck comprises a gearbox connected with a takeoff, the takeoff is connected with a transmission mechanism, and the transmission mechanism controls the twist drill and the impact hammer to work. In a non-working state of the system, a working frame is retracted into a truck compartment body, the traveling speed is the normal traveling speed of a van truck, rapid conversion of working sites is achieved, the defects of low-speed traveling of a track-type drill rig and truck-loading site conversion are overcome, and the efficiency of investigationwork of a regional polluted site is effectively improved; and the working frame of the system is provided with the twist drill and the impact hammer simultaneously so that the demands of constructionof a groundwater monitoring well and direct-pushing-type undisturbed soil sampling work under different depth requirements can be met.

The invention provides a data processing method and electronic equipment, and the method comprises the steps: obtaining an inputted identification set which comprises at least one target identification code, and the at least one target identification code is used for indicating the identity of a corresponding user; requesting at least contact spatio-temporal data corresponding to at least one target identification code from a spatio-temporal database, wherein the spatio-temporal database comprises a plurality of spatio-temporal grids, and the spatio-temporal grids comprise spatio-temporal trajectory data of a user with the identification code in a first time period in the first geographic area; processing the received contact spatio-temporal data to obtain a processing result for assistingin reflecting a disease propagation state; and outputting the processing result. The method provided by the invention can effectively improve the investigation and analysis efficiency of epidemic patients.

The invention relates to a system and a method for acquiring residential health information. The system comprises an information survey card, an optical mark reader for reading the information survey card after filling and outputting a filling point coordinate on the information survey card, a data processing unit for converting the filling point coordinate on the information survey card into a two-dimensional file form, and a storage unit for storing the two-dimensional file form to form an electronic residential health file database. The method comprises the steps of filling the information survey card, reading the information survey card, converting into the two-dimensional file form and storing the two-dimensional file form. According to the system and the method, the survey information can be automatically input and converted into an electronic residential health file, so that the labor consumption for information input is removed, thereby greatly reducing the labor cost, remarkably improving the filing efficiency and being favorable for management of the residential health information.

The invention relates to the technical field of geological environment monitoring, and discloses a contaminated site water and soil environment multi-factor one-stop management system, which comprisesthe following steps: S1, collecting data; s2, performing remote sensing interpretation; s3, performing field investigation and field test; s4, establishing a model; and S5, performing visual system integration. In S1 data collection, hydrogeological structures, underground water flow field characteristics, land utilization and surface water system distribution, pollutant discharge disposal and water and soil test data directly related to the water and soil environment of a polluted site are adopted. According to the invention, pollution indexes, distribution rules and pollution sources in surface water, underground water and soil are found out, and underground water quality pollution evaluation, antifouling property evaluation and pollution prevention and control division are completed. The invention analyzes historical pollution source distribution by utilizing remote sensing, and analyzes a water and soil pollution generation and development process; the geophysical prospecting technology is innovatively applied to describe soil and underground water pollution, and investigation efficiency is improved; and aquifer management and reasonable development are facilitated.

The invention discloses a method for recommending questions and answers for users, a storage medium and an application server. The method comprises the steps that a question asking operation instruction triggered by a user based on a question asking operation control is received and responded to, and a preset question is recommended for the user; a question addition operation corresponding to the preset question is executed, and on the basis of the added question, preset answer option information corresponding to the added question is recommended for the user; an option operation instruction executed by the user on the basis of the preset answer option information is received and responded to, and the added preset question and the answer option information corresponding to the preset question are stored. On the basis of the intelligent and convenient investigation technology, an investigator can conveniently and rapidly form questionnaires, the investigation efficiency of the investigator is improved, and the manpower consumption of the investigator is lowered.

The invention provides a forest type identification method and device, and relates to the technical field of forest type classification and identification. The method comprises the following steps: obtaining an identifier of a to-be-identified area and a target time interval corresponding to the to-be-identified area, obtaining target remote sensing data of the to-be-identified area in the target time interval from a cloud platform, and analyzing and processing the target remote sensing data by using a random forest model to obtain a forest type of the to-be-identified area. Through the above steps, the target remote sensing data of the to-be-identified area can be acquired from the cloud platform, and the forest type of the to-be-identified area can be identified. Therefore, the problems that in the prior art, when stand-alone software is adopted to apply a machine learning algorithm to recognize the type of a large-area forest through remote sensing data, a large amount of remote sensing data is preprocessed, the operation classification speed of the machine learning algorithm is low, and the storage cost of TB-level remote sensing image data is high are solved.

A method for surveying submerged plant biomass by utilizing a ground object reflectance spectrum curve comprises steps as follows: 1), a water area is fenced, a water body of the researched water area is divided into a plurality of water area units, sequence numbers are marked in sequence, the ground object reflectivity of submerged plants in the plurality of water area units is measured by a ground object spectrometer, and meanwhile, the submerged plant biomass is obtained with a conventional submerged plant biomass surveying method; 2) after the ground object reflectivity of the submerged plants with different biomass is measured in the plurality of water area units of the water area required to be surveyed, the spectral characteristic spectrums of the submerged plants with different biomass are obtained, the marked sequence numbers in the step 1) are recorded, and a spectral characteristic spectrum base is established; and 3), future biomass of the submerged plants in the water area are obtained by measuring the ground object reflectivity of the submerged plants, comparing the spectral characteristic spectrum base and searching spectral characteristic spectrums of the submerged plants with different biomass.

The invention discloses a forest fixed sample area unmanned plane oblique photograph technical method. According to the method, an unmanned plane oblique photographing technology is used, a geometric scheme relation among a base length B between two photograph points of an unmanned plane, a flight height H from a take-off place of the unmanned plane, an unmanned plane oblique photographing angle omega, a camera photograph field angle beta of the unmanned plane and an edge length a of a forest fixed sample area is established for three different terrains (flat ground, uphill ground and downhill ground) of the forest fixed sample area, so that an optimum flight scheme for different terrain situations can be respectively designed. On the basis of the optimum flight scheme, various parameters of the forest sample area can be measured and acquired, and finally the biomass and stand volume of the forest can be solved.

The invention provides an allowed driving unconformable illegal behavior early-warning method based on man-vehicle association analysis. According to the method, a driver and an involved vehicle of anallowed driving unconformable illegal behavior can be automatically recognized, early-warning information is sent to a road surface on-duty policeman for precise interception, and the investigation efficiency and execution efficiency of the allowed driving unconformable illegal behavior are effectively improved. According to the technical scheme, vehicle information is acquired based on an imagerecognition technology, and driver information and information of a driving license held by the driver are acquired based on a face recognition technology; a driving license list of all allowed driving models corresponding to the driving license is obtained through the driving license information, and a minimum allowed driving license required for driving the vehicle is found through the vehicle information; and last, by judging whether the minimum allowed driving license of the to-be-confirmed vehicle is included in the driving license list corresponding to all the allowed driving models of the to-be-confirmed driving license through comparison, whether the driver has the allowed driving unconformable illegal behavior or not is judged.

The invention provides a distribution network device status indicator weight analysis method based on conjoint analysis. The method includes the steps: 1, survey cards for a distribution network device status indicator are determined by an orthogonal test; 2, the survey cards are scored; 3, uniformity of scoring data is checked; 4, the scoring data with uniformity is fitted by a least square method, validity of the scoring data is checked so as to obtain distribution network device status indicator weight. Compared with the prior art, the method has the advantages that fewer survey cards are used without affecting implementation effect of the conjoint analysis, and the data of the survey cards are subjected to uniformity checking and adjustment.

The invention discloses a method and system for quickly positioning an optical cable interruption position. The method comprises the steps: measuring the fault point distance of an optical cable through an OTDR (Optical Time Domain Reflectometer) when the optical cable is interrupted; and analyzing and comparing the measured fault point distance with the optical cable path information on the Oldham interactive map and the collection point information on the optical cable path, and determining the specific fault point geographic position of the optical cable. According to the method and systemfor quickly positioning the optical cable interruption position, the position range of optical cable interruption is narrowed, the speed of operation and maintenance personnel reaching the vicinity ofthe optical cable interruption position is increased, the troubleshooting work efficiency of the optical cable interruption position is improved, the operation risk is reduced, the work reliability is improved, and popularization and application are facilitated.

The invention discloses a stumpage diameter at breast height measuring method based on machine vision and deep learning. The method comprises the following steps: 1, camera calibration and image correction: a camera calibration and image correction module receives a plurality of calibration plate pictures shot by a camera, carries out the calibration of the camera, obtains internal and external parameters of the camera and distortion coefficients, and carries out distortion correction, by using the parameters and the distortion coefficients, on a to-be-measured picture; step 2, trunk image segmentation: the corrected picture enters a trunk image segmentation module, the trunk image segmentation module adopts a U-Net network for segmentation, the U-Net network is used for trunk extraction, and a segmented picture is obtained. A stumpage diameter at breast height can be accurately, rapidly, and conveniently measured, so that the efficiency of forestry resource investigation is improved, and rapid development of intelligent forestry is promoted.

The invention provides a caterpillar-type direct-pushing drilling machine and static sounding all-in-one machine and mainly relates to the field of environmental modification and geological exploration. The caterpillar-type direct-pushing drilling machine and static sounding all-in-one machine comprises a caterpillar chassis and a platform. One end of the platform is provided with a main direct-pushing drilling machine body, the main direct-pushing drilling machine body is provided with a direct-pushing work device, and the other end of the platform is provided with a static sounding work device. The middle of the platform is provided with a power system, the platform is provided with a hydraulic control system, one side of the platform is provided with an operation table, and the operation table is in signal connection with the hydraulic control system. The caterpillar-type direct-pushing drilling machine and static sounding all-in-one machine has the advantages that the direct-pushing drilling machine and static sounding are integrated on the caterpillar-type platform on the same chassis in a mutual noninterference mode, the problem that the two drilling modes are not compatibleis solved, the adaptability to the site is improved, the all-in-one machine can work in a harsh site environment, the investigation efficiency is greatly improved, and the investigation cost is lowered.