56results about How to "Timely assessment" patented technology

The present invention is method of predicting service life of asphalt road based on the road surface flatness. The technological scheme includes the following steps: 1. establishing road surface model and measuring and calculating the road surface flatness; 2. establishing automobile vibration model and calculating the dynamic automobile load based on the road surface flatness; 3. calculating the permanent deformation of road surface based on the obtained dynamic automobile load, the road structural parameters, the traffic load and the environmental parameters; 4. calculating the change in road flatness; and 5. predicting the service life of road based on the change in road flatness. The present invention may be used in evaluating the road quality to provide reference for road maintenance and repair.

The application provides a network performance monitor (PM) method, network equipment and a network performance monitor system, and relates to the field of network performance monitor. In the networkperformance monitor method, the network equipment acquires IP performance standard IPPM measurement parameters between network interconnection protocol IP network nodes according to an IP network fault relating range of a monitoring network or a network performance monitor requirement range; the IPPM measurement parameters are processed for obtaining an IPPM measurement result; and the IPPM measurement result is reported to an upper-layer system, and is used for indicating network optimization in the IP network fault relating range or a network performance standard in the network performance monitor requirement range. The network equipment can realize real-time active reporting of the IPPM measurement result based on TWAMP probe detection in a format and a manner facilitating machine analysis, and thus realize timely evaluation and monitoring on IP network faults of an IP network or network service quality verification, real-time monitoring of IP service transmission indicators of different priority and the like.

The embodiment of the invention provides a risk assessment method for private data leakage. The method comprises the steps that firstly, a request message sent by a requester to a service platform andused for calling an application program interface (API) and a response message returned by the service platform for the request message are obtained, and the request message is used for requesting private data of a target object; then, the request message and the response message are analyzed to obtain analyzed data which at least comprises a plurality of target APIs, input parameters for the plurality of target APIs and a plurality of privacy categories of privacy data output through the plurality of target APIs; then, permission data of API calling of the requester is obtained from the service platform, wherein the permission data comprises an API set which the requester has permission to call, a parameter set composed of parameters which have permission to be transmitted in for the APIset, and a privacy category set of output data corresponding to the parameter set; and then, at least based on the analysis data and the permission data, the data leakage risk of the API call is evaluated.

The invention relates to the field of evaluation of the remaining creep rupture life of iron and steel materials, particularly to an evaluation method for predicting the remaining creep rupture life of a supercritical unit T/P91 heat-resistant steel based on room temperature Brinell hardness. According to the present invention, the corresponding relationship between the creep rupture life and theroom temperature Brinell hardness HB in different aging states is established by using the high-temperature tensile strength of the material as the bridge so as to establish the mathematical analysisof the relationship between the room temperature Brinell hardness and the creep rupture life at the given temperature under the given stress; and the remaining creep rupture life of the current material under the specific steam parameter can be rapidly and accurately predicted through the simple, convenient and non-destructive hardness test, such that the economic loss caused by shutdown or pipeline cutting and the like can be directly eliminated, and the remaining creep rupture life of the material can be timely evaluated due to the convenience and the rapidness so as to effectively prevent the accident caused by the aging failure.

The invention discloses a ceiling earthquake damage identification method based on a convolutional neural network, belongs to the field of computer vision, and aims to solve the problem of relativelylow efficiency of earthquake damage degree investigation by professionals on site at present. The identification method comprises the steps of 1, performing normalization processing on ceiling earthquake damage pictures; 2, performing rotation and mirroring processing on the target sample; 3, loading a pre-trained AlexNet model, modifying the last full connection layer of the model, and performingback propagation by adopting a cross entropy loss function and an Adam adaptive optimization function to obtain an initially-trained AlexNet model; 4, continuing to train the model, and adjusting thelearning rate, batchsize and the like of the neural network; and 5, evaluating the test sample by using the trained AlexNet model. According to the method, the use function of the post-earthquake building can be accurately, quickly and timely evaluated only by means of a certain hardware module and in combination with the trained model, and the model accuracy is high.

The invention discloses a ground disaster early warning system for a power transmission line. The system comprises an intelligent three-dimensional posture and vibration monitor, a GNSS ground surfacedisplacement monitor and an edge calculation server. The intelligent three-dimensional posture and vibration monitor is fixedly installed on a tower rod of the power transmission line and is used forcollecting triaxial acceleration data and inclination data of the tower rod. A data output end of the intelligent three-dimensional posture and vibration monitor is connected to a data input end of the edge calculation server, and the intelligent three-dimensional posture and vibration monitor is used for transmitting the collected tower rod triaxial acceleration data and inclination data to theedge calculation server. The GNSS ground surface displacement monitor is installed on a tower foundation of the tower rod and is used for collecting three-dimensional ground surface deformation data of the tower foundation. A data output end of the GNSS ground surface displacement monitor is connected to a data input end of the edge calculation server and is used for transmitting the collected tower foundation three-dimensional ground surface deformation data to the edge calculation server. The edge calculation server is installed on the tower foundation of the tower rod.

The invention provides a management and control method and system for an aviation operation control risk. The method comprises the following steps that: obtaining the risk factor information of a flight to be predicted; inputting the risk factor information of the flight to be predicted into a pre-established flight risk prediction model to obtain the risk prediction value of the flight to be predicted, wherein the flight risk prediction model is determined according to the risk factor information of the flight in multiple pieces of historical data and the expert risk score of the flight in each piece of historical data; and if the risk prediction value of the flight to be predicted is greater than a preset risk threshold value, carrying out risk management and control on the flight to bepredicted. By use of the method and the system, historical flight data and expert experience can be fully utilized so as to more accurately evaluate the flight risk in time.

The invention discloses an elevator risk assessment system. The elevator risk assessment system comprises an elevator risk assessment index hierarchical structure generation module, an information acquisition module, a weight calculation module, a remark definition module, a membership matrix construction module, a risk assessment module and a risk analysis module. According to the invention, the fuzzy matrix, the artificial neural network and the analytic hierarchy process are employed in the elevator risk assessment, various uncertain factors and indexes which occur in the risk assessment process can be analyzed, the elevator running state can be assessed timely, sensitively and reliably, and a relatively-accurate risk grade of an elevator target floor can be given out quickly.

Provides is a bridge structure health monitoring system based on the big data idea and a realization method of the system. The monitoring system comprises a bridge structure big data mining system, a bridge structure big data storing system, a bridge structure big data analyzing system and a bridge structure big data health monitoring system. The monitoring system is huge in the data amount, includes many data types, is rapid in data processing, and can evaluate and predict the bridge structure health state timely accurately, and also has the advantages of reasonable design, high adaptability, high reliability and convenient popularization and application.

The invention discloses a wafer support device. The device has an annular cylindrical structure so that a semiconductor device area on the front surface of an ultra-thin wafer cannot be blocked. Therefore, a performance test can be performed before encapsulating; problems in a process can be fed back and evaluated timely; and process risks are reduced. The invention also discloses a wafer processing process. In the processing process, the wafer support device is utilized for supporting the ultra-thin wafer in the process of a wafer back surface processing process and the performance test is performed after the wafer back surface processing, so that the problems in the process can be fed back and evaluated timely, and the process risks are reduced.

The invention relates to a multifunctional wristband for monitoring an internal arteriovenous fistula of a hemodialysis patient. The multifunctional wristband for monitoring the internal arteriovenousfistula of the hemodialysis patient comprises a wrist strap, wherein an internal fistula monitoring module and a temperature sensor are located on a skin side of the wrist strap, the internal fistulamonitoring module comprises an internal fistula natural blood flow volume monitor, a vascular wall thickness monitoring module and an internal fistula tremor and internal fistula pulsation monitoringmodule, and an alarming device, a display, a wireless communication module and a controller are arranged on the wrist strap. The multifunctional wristband for monitoring the internal arteriovenous fistula of the hemodialysis patient can detect the natural blood flow volume, tremors and pulsation of the internal fistula, the vascular wall thickness and the body temperature of the hemodialysis patient, and can protect the internal fistula from trauma at the same time to prevent pseudoaneurysm, so that the internal fistula is subjected to good monitoring, protection and remote management, and the life of a lifeline (vascular access) is prolonged; the multifunctional wristband for monitoring the internal arteriovenous fistula of the hemodialysis patient can give different alarming prompts according to different situations to remind the patient of timely medical treatment, so that timely rescue of the internal fistula is facilitated; and an elastic buffering layer is arranged on the innersurface of the wrist strap, and has a buffering function when the internal fistula part is under external attack, and then damage to functions of the internal fistula and local massive hemorrhage areprevented, so that the elastic buffering layer plays a role in effectively protecting the internal fistula.

The invention discloses primers for detecting the methylation degree of a BDNF gene promoter region and application of the primers. The primers comprise the BDNF gene promoter region methylation specific amplification primer and the pyrosequencing primer, the methylation specific upstream primer nucleotide sequence is shown in SEQ ID NO.1, the reverse primer has the sequence shown in SEQ ID NO.2, and the pyrosequencing primer sequence is shown in SEQ ID NO.3. The primers have the advantage that a prediction kit can stably, noninvasively, conveniently and quickly predict lapse from mild cognitive impairment to the Alzheimer disease at the molecular level in accurate-quantification, high-sensitivity and good-specificity modes.

The invention relates to the field of evaluation of the remaining creep rupture life of iron and steel materials, particularly to an evaluation method for predicting the remaining creep rupture life of a supercritical unit T/P92 heat-resistant steel based on room temperature Brinell hardness. According to the present invention, the corresponding relationship between the creep rupture life and theroom temperature Brinell hardness HB in different aging states is established by using the high-temperature tensile strength of the material as the bridge so as to establish the mathematical analysisof the relationship between the room temperature Brinell hardness and the creep rupture life of the P92 steel at the given temperature under the given stress; and the remaining creep rupture life of the current material under the specific steam parameter can be rapidly and accurately predicted through the simple, convenient and non-destructive hardness test, such that the economic loss caused by shutdown or pipeline cutting and the like can be directly eliminated, and the remaining creep rupture life of the T/P92 heat-resistant steel can be timely evaluated due to the convenience and the rapidness so as to effectively prevent the accident caused by the aging failure.

The invention discloses an earthquake destructive power prediction device and method based on a recurrent neural network. The device comprises a sensing module for obtaining information of a target object, a calculation and analysis module for providing resource (calculation power) support for analysis, a communication module for providing information transmission capability, and a display modulefor providing a result display platform. The sensing module is used to obtain seismic data of the target object; the calculation and analysis module is used to read and preprocess the seismic data; aneural network prediction model analyzes the preprocessed seismic data to generate an earthquake destructive power prediction result; the communication module sends the earthquake destructive power prediction result to a preset receiving end; and the display module carries out visual conversion on the earthquake destructive power prediction result, and displays the result by means of an electronicdisplay screen. Thus, destruction condition of the target object when confronting with the earthquake can be predicted accurately in real time, and the device and method have great significance in evacuation organization, earthquake early warning and the like.

The invention discloses a method for quickly and automatically generating a software graphical interface. The method comprises the following steps: S100, receiving a source picture for generating thegraphical interface; s200, identifying various UI component graphs and text information in the source picture through machine vision detection; and S300, completing automatic layout of the UI component, automatically and quickly generating a graphical interface, and generating and displaying a control script code of the interface. The invention further discloses a corresponding device. According to the method for quickly and automatically generating a software graphical interface, source pictures of a graphical interface are generated by flexibly adopting various modes such as sketch drawing on a drawing board, field hand-drawn sketch input and external picture import; the problems that in the software design process, UI design and product manager repeated drawing, modification and other efficiency are low, and design inspiration and graphic expression are affected are effectively solved, the sketch is rapidly converted into a graphic interface capable of being operated practically, the graphic interface design and manufacturing process is shortened, and the graphic interface input work efficiency is greatly improved.

The invention provides a space signal accuracy evaluation method and system. The method comprises the steps that after an evaluation signal is received, a configuration file is called, and evaluation time is read from the configuration file; according to broadcast ephemeris acquired in real time, the first satellite position and the first satellite clock error of each satellite corresponding to the evaluation time are calculated; precision ephemeris is used to acquire the second satellite position and the second satellite clock error of each satellite corresponding to the evaluation time through interpolation; the difference between the first satellite position and the second satellite position is acquired to acquire the position difference; the difference between the first satellite clock error and the second satellite clock error is acquired to acquire the clock error difference; a user distance-measuring error is calculated according to the position difference and the clock error difference; a number of user distance-measuring errors in a preset period of time are acquired; and statistical analysis is carried out on a number of user distance-measuring errors to acquire an error statistical result. The broadcast ephemeris acquired in real time and the provided ultra-fast precision ephemeris are used to effectively solve the problem of hysteresis of traditional post-evaluation.

The invention provides a method and a system for evaluating the structural state of a power transmission tower. The method comprises the following steps: acquiring a to-be-evaluated power transmissiontower image through satellite remote sensing; utilizing a plurality of pre-constructed classification models to predict the occurrence probability of the to-be-evaluated transmission tower image in each set structure state; and determining the structural state of the power transmission tower based on the prediction result obtained by each classification model and the weight set for the predictionresult of each classification model. Based on the satellite remote sensing technology, rapid and full-coverage acquisition of the power transmission tower image in various complex environments can berealized; a multi-classifier fusion mode is adopted to identify the structural state of the power transmission tower, so that the limitation of using a single classifier to identify a target is overcome, and the accuracy of identifying the structural state of the power transmission tower is improved; and thus, efficient, timely and accurate evaluation of all transmission tower body structure states under various complex environment conditions is realized on the whole.

The invention discloses a short-circuit current analysis system, comprising: a GIS interface, a database, a short-circuit analysis module, and several clients. The short-circuit analysis module includes a processor, a topology and an electrical analysis module. The client is connected to the short-circuit analysis module, which is connected to the Database, database connection GIS interface. The invention also discloses an analysis method of the short-circuit current analysis system. It can realize the timely detection and evaluation of the short-circuit fault in the circuit, guarantee the safety of the circuit operation, and provide a reliable evaluation method for the troubleshooting of the circuit fault. It is of great significance to the normal operation of the circuit.

The invention discloses a high-voltage and low-voltage switch cabinet operation and maintenance terminal information acquisition system with high stability. The system comprises an information acquisition module, an information monitoring module, an information identification module, a database, an information analysis module, a controller, an alarm module and a display terminal. The information monitoring module is arranged to monitor the overload current information in the high-voltage and low-voltage switch cabinet in real time, and the information analysis module is utilized to analyze theoverload current information to obtain the average value of the circuit loss rate and the difference current, so that a worker can check the average value conveniently, and the circuit loss conditionin the switch cabinet can be evaluated in time; whether shutdown is needed for equipment maintenance or not is judged, the time of manual detection is saved, the working efficiency is improved, the working state of each part in the switch cabinet is known in real time by monitoring the opening and closing condition, the temperature condition and the sound condition of a knife switch in the switchcabinet, and the monitoring efficiency is improved. Safety accidents caused by the fact that working states of parts in the cabinet cannot be fed back timely are avoided.

The invention belongs to the technical field of carbon dioxide emission accounting of traffic and transportation departments, and particularly relates to a method for accounting urban road traffic day-by-day carbon dioxide emission. The method comprises the following steps: calculating reference year road traffic carbon dioxide emission of a region where a target city is located; calculating the annual road traffic carbon dioxide discharge amount of the target city all the year round in the reference year and the average daily road traffic carbon dioxide discharge amount of the target city; based on the target city road network hourly road network interval average speed and the traffic jam index, establishing a dynamically changing road network information database; establishing a road speed-traffic jam index-traffic flow prediction model and a road speed-traffic jam index-carbon emission accounting model, and accounting the carbon dioxide emission of the target road within a specified time range; calculating the day-by-day road traffic carbon dioxide emission of the target city road network; and accumulating the day-by-day road traffic carbon dioxide emissions of the target city road network to obtain the annual road traffic carbon dioxide emissions of the target city road network.