72results about How to "Pick up in time" patented technology

The invention discloses a method for dynamic acquisition and transmission of wireless data. In a data acquisition process of the method, the time interval for data acquisition is dynamically adjusted, according to the change threshold of data acquisition. In a data storing process, the time interval and opportunity for data storing is dynamically adjusted according to the change threshold of data acquisition. In a data sending process, the opportunity for data sending is dynamically adjusted according to the acquisition value alarming threshold and changing rate alarming threshold of data acquisition. Dynamically increasing or reducing data sampling frequency without increasing power consumption of wireless equipment is realized based on data abnormity degree. Alarm information is timely sent by determination of dynamic data acquisition abnormity, so that managers can maintain equipment as early as possible. Wireless data bulk sent is reduced, and the power consumption of wireless monitoring equipment is reduced. The process state information of entire detected equipment can be monitored without increasing the total transmission data bulk.

The invention relates to a ship conflict early warning method. The ship conflict early warning method comprises the following steps that the real-time position information and the historical position information of a ship are obtained through maritime radar and are processed primarily; ship trajectory data are preprocessed at each sampling moment, clustering is conducted on the ship trajectory data at each sampling moment, parameter training is conducted on the ship trajectory data at each sampling moment by means of a hidden Markov model, the hidden state q corresponding to an observation value at the current moment is obtained at each sampling moment according to parameters of the hidden Markov model by means of the Viterbi algorithm, a predicted value of the position of the ship in the future time period is obtained at each sampling moment through a set prediction time domain W based on the hidden state q at the current moment, the dynamic behaviors of the ship are monitored in real time by establishing a safety rule set, and a warning message is sent out in time. According to the ship conflict early warning method, the trajectory of the ship is predicted in real time in a rolling mode, effective early warning of maritime conflicts is achieved, and the safety of marine traffic is improved.

The invention discloses a malicious file identification method, a device and a storage medium. The method comprises the steps of adopting a preset learning set consisting of a malicious file and a normal file to generate a machine learning model; reading a file to be detected other than the learning set; converting the file to be detected to a vector; and performing the malicious file identification on the file to be detected which is converted to the vector through the machine learning model. The machine learning model is generated by the preset learning set consisting of the malicious file and the normal file, and the generated machine learning model is used for performing the malicious file identification on the file to be detected except the learning set, so that the virus characteristics can be timely, accurately and efficiently extracted, any discovered malicious file can be immediately processed, and the detection efficiency of the malicious file can be greatly improved.

The invention relates to a control method of an air traffic control system. The air traffic control system comprises a data communication module, a monitoring data fusion module, an airborne terminal module and a control terminal module; the monitoring data fusion module is sued for fusing air traffic control radar monitoring data and automatic related monitoring data so as to provide real-time track information to the control terminal control; the control terminal module comprises a preflight conflict-free 4D track generation sub-module, an in-flight short-period 4D track generation sub-module, a real-time flight conflict monitoring and warning sub-module and a flight conflict resolution 4D track optimization sub-module. The air traffic control method of the system is that the flight plan data are processed through the control terminal module, and a 4D track is generated through a hidden markov model, so as to analyze the potential traffic conflict of the air traffic condition; the optimal resolution scheme is provided by the model predictive control theory method. By adopting the control method of the air traffic control system, the flight conflict can be effectively prevented, and thus the safety of air traffic can be improved.

The invention discloses a distributed event collection probe, a distributed event high-speed collections system and method. Through the scheme provided by the invention, the event collection is performed through the distributed probe, and a distributed log collection analysis system is proposed by using the Redis, ZeroMQ, Elasticsearch and like technical means in combination. The collection analysis system is formed through the cooperation of the distributed event collection probe and an analysis platform, can collect, analyze and display an access log of the Nginx in real time, thereby fundamentally solving the challenge on the log collection and analysis system, wherein the challenge is caused by the scale explosion of log data; and meanwhile, the effective information can be timely extracted from mass logs for the safety attack activity of the internet, thereby safely providing information support for the enterprise. The distributed event collection scheme provided by the inventionsupports the data collection and processing under the conditions of complex environment and huge data size.

The invention relates to a ship track real-time prediction method which comprises the steps that firstly, a sea radar is used for acquiring real-time and historic position information of a ship and processes the information primarily; then ship track data are preprocessed at each sampling moment, the ship track data are clustered at each sampling moment, parameter training is performed on the ship track data at each sampling moment with a hidden Markov model, a hidden state q corresponding to a current moment observation value is obtained with a Viterbi algorithm at each sampling moment according to parameters of the hidden Markov model, and finally, a ship position predication value in a further time period is obtained on the basis of the hidden state q of the ship at the current moment by setting a set predication time domain W at each sampling moment, and accordingly, the track of the ship in a future time period is speculated in a rolling manner at each sampling moment. The ship track real-time prediction method can predicate the ship track in real time in a rolling manner, the accurate is better, and powerful guarantee is provided for follow-up ship conflict release.

The invention relates to a flight conflict early warning method for an air traffic control system. The air traffic control system comprises a data communication module, a monitor data fusion module, an airborne terminal module and a control terminal module. The monitor data fusion module is used for realizing fusion between air traffic control radar monitor data and automatic related monitor data, and providing real-time flight path information for the control terminal module. The control terminal module comprises a preflight conflict-free 4D flight path generation submodule, an in-flight short-term 4D flight path generation submodule and a real-time flight conflict monitor and alarm submodule. According to the flight conflict early warning method for the air traffic control system, flight planning data are processed through the control terminal module, a 4D flight path is generated through a hidden Markov model, and potential traffic conflicts of airspace traffic situations are analyzed. The flight conflict early warning method for the air traffic control system can effectively and early warn flight conflicts and improve safety of air traffic.

The invention relates to a maritime traffic control method. The method includes the following steps: firstly, acquiring real-time and historical location information of ships through sea surface radar; secondly, at each sampling time, predicating tracks of the ships in the future period of time in a rolling mode according to the real-time and historical location information of the ships; thirdly, acquiring values of sea wind field variables on the basis of the current running status of the ships and a historical position observing sequence; fourthly, on the basis of the running status of each ship and a set security rule set needing to be satisfied when the ships run in the sea, monitoring dynamic behaviors of the ships and providing timely warning information to a maritime traffic control center; fifthly, when the warning information appears, under the premise that physical properties of the ships and sea traffic rules are satisfied, by setting an optimizing indicator function and integrating the wind-field variable values, adopting an adaptive control theory method to perform rolling planning on the collision avoidance tracks of the ships, and transmitting planning results to all the ships to be executed. The tracks are predicated and planned in real time, so that security is good.

The invention provides a data hub-business support system networked method, which has an N+1 architecture, comprising: firstly, storing subscriber data of each presidial city in N node databases, incrementally copying the subscriber data list and client data distributed in N node databases to a hub database by database technology every fifteen minutes, establishing a global subscriber data list and client data map, and storing the cross-area service data in a hub database; secondly, rapidly and linearly increasing node dilatancy by configuration control by a function actualization system for transferring the hub database of a net copy relation to a simple star relation; and thirdly, establishing a uniform client data management platform and a data supply center by a hub database, and actualizing a foreign subscribe and issuance according to need by a uniform interface of the hub database.

The invention relates to a ship trajectory real-time predicting method. The ship trajectory real-time predicting method comprises the following steps that firstly, real-time and historical position information of a ship is obtained through sea surface radar and is primarily processed; then, ship trajectory data are preprocessed at each sampling time, then are clustered at each sampling time and are subjected to parameter training through a hidden Markov model at each sampling time, and then a hidden state q corresponding to the observation value at the current time is obtained by the adoption of a Viterbi algorithm according to parameters of the hidden Markov model at each sampling time; finally, by setting the prediction time domain W at each sampling time, on the basis of the hidden state q of the ship at the current time, the position prediction value O of the ship in the future is obtained, and therefore the ship trajectory in the future can be obtained in a rolling speculation mode at each sampling time. The ship trajectory real-time predicting method predicts the ship trajectory in real time in a rolling mode, is good in accuracy and provides powerful guarantee for subsequent ship conflict resolution.

The invention relates to an aircraft track forecasting method of an air traffic control system. The air traffic control system comprises a data communicating module, a monitoring data fusion module, an airborne terminal module and a control terminal module, wherein the monitoring data fusion module is used for fusing air traffic control radar monitoring data and relevant automatic monitoring data and providing real-time tracking information for the control terminal module; the control terminal module comprises two sub-modules such as a preflight conflict-free 4D track creating sub-module and an in-flight short-term 4D track creating sub-module; the aircraft track forecasting method of the system is characterized in that flight planning data is treated by the control terminal module and 4D tracks are generated by a hidden Markov model, so that potential traffic conflicts under airspace traffic conditions can be analyzed. The security of the air traffic can be effectively improved by the aircraft track forecasting method.

The invention relates to a one-stop and multi-channel marine warning information issuing method. The method comprises the steps that S1 a marine warning product is produced, and data information in the marine warning product is automatically saved in a product library and is pushed for review; S2 the data information, which meets an issuing need, of the marine warning product is stored in a corresponding folder or a database, and useful information is parsed and extracted to form a marine warning product in a standard format; S3 the marine warning product in the standard format forms a product format which meets a distribution channel; and S4 the method automatically sends the product formation of the marine warning product in the product format to a product queue information pool, and to the distribution channel according to a pre-configured sending logic rule. According to the invention, report information can be effectively extracted, processed and produced; multi-channel issuing is realized; and the marine warning information can be effectively and timely issued at critical moments.

The invention provides a water damage spreading method used for coupling of multiple roadways under a coal mine at any angle. All points of a roadway coupling boundary are subjected to coordinate transformation, the points close to the boundary are screened, and assignment and calculation of the points are completed; after each time of iteration, macroscopic density and speed physical quantity of points of a grid are obtained, and the dynamic process from water bursting to spreading ending can be displayed in a highlight mode by the adoption of a software platform developed on the basis of the GIS technology. A model which achieves coupling of two roadways at any angle is built, and models which are coupled in pairs are adopted for coupling of the roadways. The method carries out numerical modeling on coupling of the roadways, and real-time speed and positions, where burst water spreads, output according to the roadway any-angle multi-module coupling algorithm are loaded into a water damage spreading image layer and displayed in a highlight mode.

The invention relates to a flight conflict warning method of an air traffic control system. The air traffic control system comprises a data communicating module, a monitoring data fusion module, an airborne terminal module and a control terminal module, wherein the monitoring data fusion module is used for fusing air traffic control radar monitoring data and relevant automatic monitoring data and providing real-time tracking information for the control terminal module; the control terminal module comprises three sub-modules such as a preflight conflict-free 4D track creating sub-module, an in-flight short-term 4D track creating sub-module, and a real-time flight conflict monitoring and warning sub-module; the flight conflict warning method of the system is characterized in that flight planning data is treated by the control terminal module and 4D tracks are generated by a hidden Markov model, so that potential traffic conflicts under airspace traffic conditions can be analyzed. The flight conflict can be effectively warned by the flight conflict warning method and the security of the air traffic is also improved.

The invention provides a high-speed rail wheel electromagnetic tomography flaw detection method and device. The device comprises a signal generating device and a signal transmitting and processing device; the signal generating device comprises a U-shaped electromagnetic tomography sensor support and electromagnetic coils, and the electromagnetic coils are evenly installed in the U-shaped electromagnetic tomography sensor support and used for collecting induced voltage signals of high-speed rail wheels according to the signals transmitted by the signal transmitting and processing device; the signal transmitting and processing device generates an alternating sine excitation signal with a fixed frequency phase through an excitation signal generation module; a power amplification module amplifies the excitation signal, a channel switching module performs gating switching on an electromagnetic coils, a signal conditioning module amplifies and filters induced voltage signals output by the electromagnetic coils, and finally the induced voltage signals are collected to a data processing display module through a data collection module to be processed. According to the invention, high-speed,on-line, effective and non-contact rapid on-site detection can be realized.

The invention aims to provide a rescue method, and the method comprises the steps: receiving rescue task information; According to the rescue site position information corresponding to the rescue taskinformation, inquiring and obtaining a rescue storage device matched with the rescue site position information in a rescue storage device information base, wherein a wearable rescue device capable ofbeing used by a rescuer is stored in the rescue storage device; And sending the rescue task information and the position information of the rescue storage equipment to user equipment corresponding toa target rescuer processing the rescue task information. The target rescuer finds the rescue storage device based on the position information, and takes away the wearable rescue device stored in therescue storage device.

The invention provides a method for accurately and directionally screening customers and a customer management system, and the system comprises a customer source module, a server, a database and a platform system, wherein the database comprises a customer data analysis module, a customer data management module and a business personnel data management module, and the customer data analysis module comprises a customer screening module. The customer screening module comprises a customer consumption limit screening module, the customer consumption limit screening module is used for screening low-consumption customers, medium-consumption customers and high-consumption customers, and the customer consumption limit screening module comprises a partner platform screening module and an APP screening module. After the client data is obtained, the clients with different consumption levels can be accurately screened through data analysis, the business personnel are helped to better understand potential clients, useful information of the clients is extracted in time, an effective client consumption scheme is made, and the working efficiency is improved.

The invention discloses a Tai Kong distiller's yeast production testing method. The Tai Kong distiller's yeast production testing method comprises the following steps: S1) preparation of raw materials: preparing rhizopus distiller's yeast, aspergillus niger distiller's yeast, aspergillus oryzae distiller's yeast, sorghum, wheat, barley and pea as the experiment raw materials, and S2) preparation of a starter blank: matching the wheat, barley and pea according to a ratio, then respectively adding the rhizopus distiller's yeast, aspergillus niger distiller's yeast, and aspergillus oryzae distiller's yeast, adding water and uniformly stirring the materials, performing artificial stepping to prepare the starter blank, examining the starter blank, and performing a next operation after the starter blank is qualified after examination, and recording the detection data. The Tai Kong distiller's yeast and common Daqu are subjected to contrast testing, influence of the Tai Kong distiller's yeastand common Daqu on wine quality and the wine yield rate can be compared, a proper amount of the Tai Kong distiller's yeast during a wine brewing process is determined, grain consumption is reduced, wine quality and the wine yield rate can be increased, the test data is recorded, the data is integrated, and the test data can be conveniently and timely extracted.

The invention discloses a plant disease and insect pest intelligent identification method based on big data, and the method specifically comprises the following steps: 1, system power-on self-test; 2,current disease and insect pest photographing and recording; 3, disease and insect pest related data processing; 4, plant disease and insect pest analysis and prediction. The invention relates to thetechnical field of disease and insect pests. A plant disease and insect pest early warning module, a disease and insect pest time comparison module, a disease and insect pest place comparison module,a disease and insect pest state comparison module, a disease and insect pest buffer loading module and an early warning log and memorandum storage module in the plant disease and insect pest analysisand prediction module are arranged jointly, so the information such as attack time and place of plant diseases and insect pests is accurately recorded and stored in the buffer module, data is extracted from the buffer data unit in time at the moment meeting requirements, early warning information is publicized, and the published information is stored, so subsequent verification is facilitated.

The embodiment of the invention discloses an article information sending method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: in response to received article binding information and a temperature value of a self-service cabinet storage grid corresponding to the article binding information, obtaining article information corresponding to the article binding information; obtaining an article standard temperature condition based on the article information; in response to determining that the temperature value of the storage grid of the self-service cabinet meets the standard temperature condition of the article, generating article freshness information based on the temperature value of the storage grid of the self-service cabinet and the shelf life of the article; and sending the article freshness information, the temperature value of the storage grid of the self-service cabinet and the article information to a target user terminal, so that the target user terminal displays the article freshness information, the temperature value of the storage grid of the self-service cabinet and the article information. According to the embodiment, the success rate of article circulation can be improved.