64results about How to "Timely decision" patented technology

The invention provides a near-bit geology guide detecting system, comprising an electricalresistivity detecting unit, a gamma detecting unit, a position sensing unit and an insulating dipole transmitting unit, wherein the electricresistivity detecting unit is used for measuring the electricresistivity a near-bit stratum to generate electricresistivity data; the gamma detecting unit is used for measuring near-bit gamma rays to generate gamma ray data; the position sensing unit is used for measuring near-bit inclination and an implemental surface to generate position data; and the insulating dipole transmitting unit is used for transmitting the electricresistivity data, the gamma ray data and the position data to the ground through a wireless electromagnetic signal channel. A sensor is close to the near bit as much as possible, so when a drill drills into the sensor, the sensor makes an early prediction to information of the front part of the drill and information of the periphery stratum of the drill, thereby the aim of geology guide is achieved during drilling process.

The invention relates to the technical field of display, and in particular to an echoing device and method for a multi-screen splicing processing system. The device and the method realize real-time echoing of the display end of the multi-screen splicing processing system by mutual coordination of an echoing module and a splicing processing module with a plurality of display unit processing modules corresponding to the display units of the multi-screen splicing processing system, so that operators or commanders who cannot directly observe the display effect of the multi-screen splicing processing system on the spot can make decisions in time according to echoing images. Furthermore, a camera or similar hardware is not required in the device and the method, thus the advantages of simple structure and higher reliability are achieved.

The present invention provides an automatic driving test system based on road driving skills. The system comprises: a road test scene, an automatic driving test device and an automatic driving test site facility; the automatic driving test device is arranged on an automatic driving vehicle required to be tested, namely a test vehicle, and comprises a road traffic signal collection system and a vehicle signal collection system; the automatic driving test site facility comprises a test vehicle location facility, a test project triggering device and a signal transfer device. Further, the road traffic signal collection system communicates with a test center through a wireless transmission mode to receive a test task of the test vehicle at present and traffic environmental information associated with the test task; and the vehicle signal collection system can communicate with the automatic driving vehicle to read the information of the automatic driving vehicle. The automatic driving test system is used for test and verification of safety of the automatic driving vehicle for road driving and provides guidance for technology research and development, road test permission and product access certification of automatic driving vehicles.

The invention discloses a customer service repeated call treatment method based on a cosine similarity text mining algorithm. The customer service repeated call treatment method comprises the following steps of extracting a work order text of 95598, performing data cleaning and removing abnormal call IDs; performing pretreatment on the data, extracting work orders of the same call and constructing a repeated call work order text set; converting the text into the language which can be recognized by a computer, establishing a vector space model, and representing the text by utilizing a characteristic vector; using a vector taking weight of a characteristic item as a component to express the whole text, measuring the similarity among documents on the basis of included angle cosine of two vectors in a use space of the characteristic vector, extracting a repeated call work order of the similar content of the same user by utilizing hierarchical clustering, and performing an analysis on semantic features; timely recording the problem reflected by the repeated call work order, sending an order and tracking a record. The customer service repeated call treatment method disclosed by the invention replaces manual search of the repeated call work order, and can improve the operating rate.

The invention discloses an optimization control system for the energy system of the drying part of a paper machine. The optimization control system comprises a newly-added sensor group, an industrial configuration software module, a relation database and a control model library, wherein the newly-added sensor group is connected with the DCS of the drying part in a signaling way, the industrial configuration software module is connected with the DCS of the drying part and the QCS of the paper machine through an SCADA in a signaling way, the relation database is connected with the industrial configuration software module in a signaling way and the control model library is connected with the relation database in a signaling way. The invention can dynamically and accurately control the key variants of the energy system of the drying part of the existing paper machine in real time according to the characteristics of the paper drying process, can minimize the dependence on operator experiences, can improve the paper drying efficiency and can reduce energy consumption of the drying part, thereby realizing the optimum operation of the energy system of the drying part of the paper machine.

The invention discloses a B / S and C / S architectural pattern based information monitoring and measuring method for tunnels and underground constructions. The method includes the steps of data collection of a mobile intelligent terminal, data processing of a server side, data query and early-warning information reception of the mobile intelligent terminal, and data processing of a PC (personal computer) client side. The mobile intelligent terminal is connected with an instrument in a wired or wireless mode, and test data are collected in real time, stored in the mobile intelligent terminal, and uploaded to the server side immediately through a wireless network; the server side performs data visualization display and early-warning release on the data uploaded by the mobile intelligent terminal; the mobile intelligent terminal inquires the data processed by the server side and receives the early-warning information released by the server side in real time; the PC client side downloads the data uploaded by the mobile intelligent terminal from the server side to process data and output statements. By the method, functions such as timely field data collecting, automatic analyzing and processing and remote monitoring for field monitoring and measuring can be realized in the tunnels and the underground constructions.

The disclosed multimedia business (MMB) system comprises: a server transmitting the display command for video; a MM service device browsing MM menu, capturing the control command and displaying the stored video; and a wireless controller for controlling the display. This invention improves service quality, adds new profit increasing point, and has wide application.

The invention discloses a device and a method for partial enlarged display of radar PPI images based on target details, which can perform real enlarged display of radar targets so as to separate out the target details in radar images. The device and the method have the following advantages: the radar target details of an important region are separated out through secondary sampling correlative with enlargement factor, the radar image data with polar coordinate formats is projected into a frame buffer corresponding to a screen rectangular coordinate system through scanning conversion processing, and finally the radar image data is output to an appointed enlarging window to perform display. Any radar partial original image is enlarged in a specific enlarging window and can display detail information of a target in the original image, the enlargement factor is adjustable as required, and if the enlargement factor is larger, the detail information of the enlarged image is more abundant. A device operator can obtain various attributes of the radar target as early and detailed as possible so as to make timely, scientific and accurate judgments and decisions.

The invention discloses an EPTM model-based probability calculation method for circuit signal reliability. The calculation method comprises the following steps of 1: analyzing a netlist and initializing related variables; 2: extracting a circuit basic member gj, and calculating PTM of an input signal of the circuit basic member gj; 3: extracting PGj of gj, and calculating an output signal probability pgj of PGj; and 4: calculating output signal reliability pc of a circuit. The invention provides an accurate signal probability calculation method taking the circuit basic member as a unit based on an EPTM model; and the method can be used for accurately and quickly realizing probability assessment of circuit signal reliability, and is beneficial for realizing high-reliability design of a circuit topology structure in an early stage of circuit design.

The invention discloses an infectious disease prediction method based on a BP algorithm and an SEIR model, and relates to the technical field of infectious disease prediction methods. The method comprises the steps that 1, an SEIR model predicts the number development trend of susceptible people, infected people, latent people and rehabilitation people, historical data of prefecture and municipalepidemic situations are obtained, parameters are initialized by the SEIR model, the model is established, and a result is predicted; 2, the number of newly increased daily infected people, the total number of infected people and the number of newly increased dead people are predicted based on a neural network. According to the method, all people are specifically divided into susceptible people, infected people, latent people and rehabilitation people, SEIR model parameter initialization is carried out according to a specific scene, model establishment is based on real infectious disease data,more trend prediction better conforms to the real situation, prediction and visual graphic display are carried out for different sub-models, and the method is more visual and more convenient to use. Through the SEIR model, the index quantity development trend can be predicted, and timely decision making is facilitated.

The invention provides an underground information self-adapting transmission method and a system. The method includes the following steps: collecting underground measurement data, and generating geometric parameter information, formation characteristic parameter information and project parameter information; setting the transmission priority and the special priority rating of the geometric parameter information, the formation characteristic parameter information and the project parameter information according to the working modes of underground tools; calculating the normal transmission priority rating of various parameter information according to the variable quantity of measuring data of various parameter information; adjusting the normal transmission priority rating based on the transmission priority rating of various parameters; framing-transmitting the geometric parameter information, the formation characteristics parameter information and the project parameter information according to the order of the special priority rating and the normal transmission priority rating. The method can adaptively determine a key parameter at a certain moment to realize the priority transmission of the key information, thereby enabling the underground key information to be transmitted to the ground in time, and indirectly improving the information transmission efficiency.

The invention discloses an expressway traffic safety weather Internet of Things monitoring and early warning system, and the system comprises a front-end distributed integrated multi-element weather monitoring node and a rear-end cloud platform which establish network communication with each other; the front-end distributed integrated multi-factor meteorological monitoring node is in communicationconnection with a sensing module, a network transmission module, a video monitoring module and a power supply module. The sensing module collects original meteorological data and uploads the originalmeteorological data to the network transmission module, and the network transmission module carries out data preprocessing and then sends the data to the back-end cloud platform. The rear-end cloud platform comprises a monitoring data receiving / processing module, a database, a monitoring system configuration and management module, a data visualization module, an early warning and forecasting module, a multi-user configuration and authority management module, a GIS module and a video monitoring module. The rear-end cloud platform realizes interactive management of the monitoring and early warning system and users through network communication, can realize multi-department and multi-party timely decision and timely response, and reduces traffic accidents caused by highway meteorological problems.

Embodiments of the invention provide a flight data three-dimensional visual analysis method and apparatus. The method comprises the steps of obtaining running information of a flight in real time, wherein the running information comprises an air route of the flight, a real-time position of the flight, a running state of the flight and flying state information of the flight; updating a flight parameter library of a pre-drawn three-dimensional digital earth according to the running information of the flight; drawing the air route of the flight through an arc line on the three-dimensional digital earth according to parameters in the updated flight parameter library, and marking the real-time position of the flight and the running state of the flight; and displaying the current three-dimensional digital earth. According to the method and the apparatus, the running of the flight on the earth can be subjected to three-dimensional description and display, so that more visual and comprehensive information is provided for users.

The invention provides an intelligent driving automobile obstacle avoidance decision-making method and device. A Gaussian mixture distribution model and a hidden Markov model are models in machine learning and can be automatically executed by a processor and other terminals, and automatic training is performed based on data; compared with rules based on artificial experience and artificial calibration, a confusion matrix and a state transition matrix obtained by the trained Gaussian mixture distribution model and by training of the hidden Markov model are high in accuracy; and therefore, the situation that the accuracy of obstacle avoidance decision making is high on the basis of the confusion matrix and the state transition matrix obtained by the pre-trained Gaussian mixture distributionmodel and by training of the hidden Markov model can be guaranteed, a vehicle can make a correct decision in time, and the driving efficiency and safety are improved.

The invention relates to a multisource real-time land subsidence and horizontal displacement monitoring system and method. The system comprises a reference rod, a master console, a data monitoring module for collecting land subsidence and horizontal displacement data of a monitoring body, and a data analysis module for analyzing the collected data and determining the land subsidence and horizontaldisplacement degree according to an analysis result; the data monitoring module is arranged in the ground where the monitoring body is placed; the reference rod is arranged in a preset reference point; the data monitoring module comprises a static force leveling instrument, a displacement sensor and a radar imaging module; and the reference rod is internally provided with the static force leveling instrument and displacement sensor as reference. According to the system and method , design is reasonable, mutual verification and comparison are realized via the static force leveling instrument,displacement sensor and radar imaging while a traditional ground monitoring technology is used, more comprehensive and accurate land subsidence data can be obtained, and the result can be analyzed andmonitored more reliably.

The invention discloses a water conservancy intelligent decision supporting system and a water conservancy intelligent decision method. The water conservancy intelligent decision supporting system comprises a data collecting module, a data transmission module, a database server and user computers, wherein the data transmission module is connected with the data collecting module and the database server through data lines; the user computers are connected with the database server through a wired or wireless network; the data collecting module collects in-site water conservancy information and carries out analog-to-digital conversion to obtain water conservancy data of digital signals; the data transmission module transmits the water conservancy data from the data collecting module to the database server; the database server stores the water conservancy data and provides the water conservancy data for the user computers through the network; and the user computers realize the water conservancy intelligent decision according to the water conservancy data. The water conservancy intelligent decision method comprises the steps of data collection, data transmission, database service and intelligent decision making. When the system and the method provided by the invention are adopted, the water conservancy decision is more objective, accurate and timely.

The invention discloses a real-time publishing system for traffic jam conditions, and the system comprises an information reading unit which is used for reading information inputted by a user at a terminal and the position information of the user; a real-time road condition information unit which is used for obtaining the corresponding real-time road condition information from a traffic center server according to the information read by the information reading unit, and displaying the corresponding real-time road condition information on a display interface of the terminal. The real-time road condition information unit comprises a road condition trend subunit, a road condition ranking subunit, a travel prompt subunit, a data updating subunit, and a voice broadcasting subunit. The system can obtain the road condition information in real time, brings convenience to the public for timely decision of travel route and time, and brings great convenience to the public. Through voice broadcasting, the system facilitates the displaying of the road condition information to the public better, and reduces the operation of the user. Meanwhile, the system can be used on a cellphone or a PC, increases the number of users, achieves the multi-channel publishing of information, and brings convenience to more persons.

The invention relates to an early warning method and system based on a personnel relation model and an event association model. The method comprises the steps of extracting model information data frompublic security big data; filtering the model information data; performing statistical analysis on the model information data according to the personnel identity data, and extracting personnel reflecting events for multiple times to create a personnel relation model; extracting semantic elements from the model information data according to the event data, and extracting events reflected by personnel for multiple times to create an event relationship model; Setting a personnel early warning threshold value according to the number of times of one person reflecting events; and setting an event early warning threshold value according to the frequency of reflecting one event by multiple persons, and carrying out early warning on persons and events exceeding the early warning threshold value. According to the invention, data extraction can be carried out for cases, alarm situations, public opinions and contradiction disputes, a personnel relationship model and an event relationship model are generated, a new and operable method is provided for personnel event early warning monitoring, and an idea route is provided for compiling of early warning software.

The invention relates to the technical field of environmental protection data monitoring and warning, and aims to provide a monitoring data management method, system and device based on artificial intelligence and a medium. The monitoring data management method comprises the following steps: acquiring environment monitoring data; receiving abnormal subscription information, and processing the abnormal subscription information based on an artificial intelligence algorithm; judging whether the current environment monitoring data is abnormal data or not, if yes, outputting abnormal information and entering the next step, and if not, performing no action; and judging whether the environment monitoring data corresponding to the current abnormal information comprises first specified environment monitoring data in first abnormal standard information, if so, outputting the current abnormal information to a user terminal matched with the first user terminal information, and if not, performing no action. According to the method, the abnormal data screening efficiency and accuracy are high, and workers can conveniently know the abnormal condition of the environment monitoring data in time.

The invention discloses a multi-source remote sensing monitoring method of water pollution based on the Internet of Things. The method comprises the following steps of (1) analyzing a water body by satellite remote sensing data, unmanned aerial vehicle remote sensing data and automatic water quality detection data; (2) performing preprocessing by geometric correction, atmospheric correction and drinking water source protection measures after analysis completion; (3) performing multi-source remote sensing data fusion and remote sensing big data integration processing after the preprocessing; (4) obtaining an environmental safety evaluation model, a GIS space model, a pollutant diffusion model, a space-time data assimilation model, a Swat watershed model and a biochemical reaction model of the water body according to Step (3) and the automatic water quality detection data after the processing in Step (3); and (5) obtaining environmental safety evaluation, pollution event early warning and visual representation of the water body by the models in Step (4). The method breaks through a traditional monitoring system with mutually independent time and space, and has the advantages of richmonitoring function, high decision efficiency, high accuracy and the like.

The invention relates to a fatigue driving detection system based on a parallel cross convolutional neural network, and the system comprises the steps: collecting a fatigue driving sample image, dividing the sample image, constructing a parallel cross convolutional neural network model to train a collected driving state sample, and enabling a model obtained through training to be used for fatiguedriving detection. The parallel cross convolution neural network model can effectively extract image features and meet the real-time requirement. Meanwhile, the invention provides a fatigue driving detection system function assembly based on the parallel cross convolutional neural network, the fatigue driving detection system function assembly comprises a camera, a voice prompt module, a timer andthe like, the operation process of the fatigue driving detection system is described in detail, the system can monitor the state of a driver in real time, and accidents are effectively prevented.

The invention discloses a novel multifunctional valve-control water meter reading management system for a prepayment network and an application method. The water meter reading management system is composed of a first-level network, a second-level network and a third-level network, wherein a third-level network system is composed of a service center, a marketing center, a bank transaction center, an M-BUS or wireless signal and data concentrators; a first data concentrator and a second data concentrator of the third-level network are connected with a router so as to form the second-level network; the router of the second-level network is connected with a data collector; the data collector is connected with the first-level network; and the data collector of the first-level network is connected with a user digital network valve-control water meter. The novel multifunctional valve-control water meter reading management system has a reasonable structure, is convenient for use and high in the degree of automation, realizes remote meter reading, controlling, prepaying charging and stepped water price charging because of transmission through a bus and a mobile network or a broadband; a central database has the function of analyzing the running water use summary and the water supply / discharge peak valley summary of the whole city; the phenomena of water stealing and leaking are thoroughly eliminated; and the water meter reading management system is widely applied to urban water supply companies and resident users.

The invention discloses a pesticide residue data-oriented multidimensional cross-over analysis method. According to the method, a double multidimensional data correlation storage model based on doublecubes is constructed, double multidimensional cross-over data analysis treatment is conducted according to pesticide residue data, multidimensional analysis query and analysis are conducted among multiple data subsets, and detection identification of abnormal values is carried out; a pesticide residue data-oriented multidimensional over-cross analysis system is achieved by utilizing the multidimensional cross-over analysis method. The system includes an information collecting module, a data warehouse module, a data analysis module and an automatic report generating module. Through exception detection for identifying abnormal data values, data is more comprehensively analyzed, and an online analysis service is provided for pesticide residue risk evaluation and scientific management and usage of pesticide.

The present invention provides a monitoring and warning device for a human body. The monitoring and warning device includes a dual-core CPU, a three-axis acceleration sensor, a sound-light alarm, a 4G memory, a power source management module and a communication module; the output end of the three-axis acceleration sensor is connected with the first input end of the dual-core CPU; the first output end of the dual-core CPU is connected with the input end of the sound-light alarm; and the dual-core CPU is connected with the 4G memory and the communication module separately. The monitoring and warning device for the human body of the invention can send warning information to the outside timely and actively through the communication module when carrying out tumble warning, and can timely transmit the physiological parameters, such as body temperature and heart rate of an old person, so as to carry out tumble warning more comprehensively, and can be widely applied to the tumble detection field.

The invention relates to a task flow display method and device, a readable storage medium and electronic equipment. The method comprises the steps: obtaining a target graphic base library in responseto a received task flow display request; obtaining attribute information of each task in the task flow, wherein the attribute information comprises time information, state information and seat information; and displaying the task flow in a display interface of the electronic equipment according to the time information, the state information, the seat information and the corresponding relationshipof each coordinate axis in the three-dimensional coordinate axes in the target graphic base library. Therefore, the time information, the state information and the seat information of the task flow are displayed in the display interface of the electronic equipment in a three-dimensional coordinate axis mode; according to the method, the change of the task flow in time and state dimensions can be displayed, and the transmission of the task flow among different executors can also be displayed, so the whole process is supervised and controlled, a user can conveniently know the upstream and downstream states of each task in the task flow, a decision is made in time, and the task completion efficiency is improved.

The invention discloses an article screening method and device, electronic equipment and a computer readable medium, and relates to the technical field of computers, and the method comprises the steps: obtaining updated risk network information; calling a risk information network model to generate an index vector corresponding to the network information based on the network information; constructing a nearest neighbor search engine based on the index vector; and calling a nearest neighbor search engine, screening according to the index vector to obtain a corresponding article vector, and screening the articles based on the article vector to obtain a to-be-processed article. Therefore, after the updated risk network information is obtained, the decision of the article corresponding to the risk network information can be made timely and accurately, so that the corresponding article can be processed based on the made decision, the influence of the risk network information is effectively reduced, other articles are prevented from being accidentally injured, and the other articles are prevented from getting off the shelf.

The invention discloses a coal preparation plant main coal washing production method, and relates to the technical field of coal mines. The method comprises the following steps that S1, equipment is checked, and specifically equipment parameters and technological parameters are checked before starting; S2, equipment of a main coal washing system is made to form a closed relation; S3, one-key centralized control starting is carried out on the main coal washing system; S4, used materials of the main coal washing system are controlled; and S5, collected information is transmitted to a mobile terminal through an information management system. The method has the advantages that the on-site production safety and the production efficiency are improved, the fault shutdown probability is reduced, apart of unsafe factors generated after equipment heavy load shutdown are avoided, the starting time is shortened, the starting interruption is avoided, and the economic effect is greatly improved.

The invention provides a near-bit geology guide detecting system, comprising an electricalresistivity detecting unit, a gamma detecting unit, a position sensing unit and an insulating dipole transmitting unit, wherein the electricresistivity detecting unit is used for measuring the electricresistivity a near-bit stratum to generate electricresistivity data; the gamma detecting unit is used for measuring near-bit gamma rays to generate gamma ray data; the position sensing unit is used for measuring near-bit inclination and an implemental surface to generate position data; and the insulating dipole transmitting unit is used for transmitting the electricresistivity data, the gamma ray data and the position data to the ground through a wireless electromagnetic signal channel. A sensor is close to the near bit as much as possible, so when a drill drills into the sensor, the sensor makes an early prediction to information of the front part of the drill and information of the periphery stratum of the drill, thereby the aim of geology guide is achieved during drilling process.