418results about How to "The monitoring results are accurate" patented technology

The invention relates to an intelligent mattress warning system. The intelligent mattress warning system comprises a collection device, an anomaly monitoring module, a cloud server, a mobile terminal and an early warning module. The anomaly monitoring module monitors sleep data collected by the collection device, judges the individual type, and judges whether a direct early warning mode or an analysis early warning mode based on the anomaly variation of the sleep data relative to the individual type; the cloud server counts physiological information of at least one individual based on the sleep data collected by the collection device, recognizes a sleep mode, interactively associates the physiological information, the individual type, the sleep mode and / or abnormal data so as to analyze the abnormal state level of a user, and sends corresponding early warning request information to the early warning module and / or the mobile terminal according to the abnormal state; the early warning module sends out corresponding early warning information based on the early warning request information; the mobile terminal sends assistance information to preset assistance personnel and / or an assistance agency based on the early warning information. According to the intelligent mattress alarm system, early warning is conducted based on the individual type, and the early warning is accurate and rapid.

The invention discloses a distributed monitoring system based on a Hadoop cluster and a distributed monitoring method thereof. The system comprises a client, a master computer and a slave computer. The system is characterized in that: the master computer and the slave computer in the system are constructed based on a MapReduce framework of the Hadoop cluster; the client is used for submitting a monitoring work request to the master computer; after responding to the monitoring work request, the master computer divides monitoring work and distributes the divided monitoring work to the salve computer for independent completion; and the slave computer is used for completing an independent monitoring work task, integrating a result through the master computer and returning data to the client. By the invention, data such as the task schedule and the like of a distributed computing network MapReduce can be effectively monitored, the monitoring result can be precisely obtained in real time, and independent dynamic switching is realized under the condition of not influencing work execution.

The invention discloses a mobile ECG (electrocardiogram) monitoring system and monitoring method. ECG signals are collected; in addition, IR-UWB (impulse radio-ultra wide band) radar signals are collected; after the collected ECG signals and the IR-UWB radar signals are synchronized and processed, a cascade connection CNN (convolutional neural network) is used for feature extraction, integration analysis and diagnosis classification to obtain monitoring results to be output. According to the embodiment of the invention, the IR-UWB radar signals are introduced to be used as the supplement of the monitored ECG signals during the monitoring; through the synchronization on the two signals, the correlation between the two signals is obtained; the monitoring accuracy is improved. The cascade connection CNN with high applicability and stable performance is used for feature extraction, integration analysis and diagnosis classification; the system performance stability is effectively ensured.

The invention designs a method for monitoring an oil well fracturing microseismic ground-borehole crack, which is characterized by comprising the following steps of: receiving microseismic waves by monitoring substations arranged at the circumference of a wellhead by utilizing the propagation characteristic of an elastic wave field in a stratum medium, forming a series of equation sets according to the arrival time difference of the microseismic waves of each substation, and solving the series of equation sets to determine the position of a microseismic source and further determine stratum parameters of crack distribution, such as the azimuth, the length, the height, the ground stress direction and the like. The background noise in a well is small, filtration processing is carried out on a ground observation signal through an underground observation signal, fracturing microseismic signals and ground interferences are screened and distinguished, a detector placed in the well is a reference value of a whole set of system collected signals, the signal collected by a ground seismometer is identified by people through the reference value to filter an interference signal, so that a monitored result of the people can be more true and reliable.

The invention discloses a remote monitoring system and method for ice coating process of power transmission lines and belongs to the field of power industry monitoring system products. The remote monitoring system includes a simulation wire, a tension sensor connected with the simulation wire, a binocular camera and a control box; a data acquisition module connected with the binocular camera, a control module connected with the tension sensor, a communication module connected with a central control terminal and the like are arranged in the control box; the remote monitoring method is a method for obtaining three-dimensional geometric information of an object from multiple images based on the principle of parallax, wherein two digital images of the measured object can be obtained simultaneously by the binocular camera from different angles, the three-dimensional geometric information of the object is restored based on the principle of parallax, the three-dimensional profile and position of the object are reconstructed, and the three-dimensional image data is transmitted to the central control terminal for calculation, so as to master the dynamic changes of ice coating in real time. According to the invention, the ice coating data monitoring accuracy and convenience can be satisfied, the expansibility is excellent, and the data monitoring sensitivity is improved.

The invention relates to an online examination monitoring method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining examinee information which comprisesimage information and voice information; Performing identity verification according to the image information and the voice information; When the identity verification is passed, pushing examination task data; obtaining Examinee behavior dynamic data, and obtaining examinee behavior feature data based on the skeleton tracking principle; According to the examinee behavior characteristic data, analyzing the examinee cheating probability; And pushing a preset alarm message according to the cheating probability analysis result. In the Whole monitoring process, After the examinee passes the identity verification, the examination task data is pushed, when the examinee carries out an examination, the behavior characteristic data in the examinee behavior is obtained based on the skeleton trackingprinciple, the examinee cheating probability is analyzed, the alarm message is sent, automatic invigilation is achieved, manual real-time attention monitoring is not needed, the monitoring result is accurate, and the invigilation efficiency is improved.

The invention discloses a device for monitoring the state and diagnosing the fault of a power electronic circuit. The device has a structure that: a magnetic field detection module detects the magnetic field strength of the power electronic circuit, a signal conditioning module amplifies a voltage signal and an analog-to-digital conversion module performs analog-to-digital conversion; a fault diagnosis module comprises a time-domain and frequency-domain conversion module, a characteristic sort module and a comprehensive diagnosis module; the time-domain and frequency-domain conversion module is used for extracting the frequency characteristics of a time-domain waveform and supplies the frequency characteristics to characteristic sort sub-modules respectively; the characteristic sort sub-modules compare the received subsets to obtain partial diagnosis results corresponding to each characteristic subset and supply the results to the comprehensive diagnosis module; and the comprehensive diagnosis module synthesizes the partial diagnosis results of each characteristic subset to obtain a final diagnosis result. The device realizes the natural isolation of a detector from a main circuit; the different kinds of information carried by the magnetic field signal are treated respectively and then comprehensively judged, so the accuracy is higher; and the device can be applied to various power electronic circuits.

The invention provides a method for monitoring an underway ship in real time based on AIS and VTS information integration. The method comprises the steps of collecting signals; acquiring AIS static information, AIS dynamic information, information related to the voyage number and information about the security of a target ship through an AIS; detecting VTS dynamic information of the target ship through a VTS, and reflecting information about the size and the shape of the target by using VTS radar target echoes; building a D-S evidence theory identification framework through analyzing the difference between the AIS dynamic information and the VTS dynamic information acquired by the AIS and the VTS radar respectively; and constructing a focal element confidence function based on a Kalman prediction algorithm, carrying out evidence synthesis within the D-S evidence theory identification framework, and judging monitoring results. The method provided by the invention is based on the two existing real-time monitoring modes for ships, utilizes the D-S evidence theory identification framework, and constructs the focal element confidence function based on the Kalman prediction algorithm so as to achieve more accurate monitoring results.

The invention provides a portable device, system and method for monitoring physical condition. The device comprises: a master controller, a chemical biosensor disposed close to the surface side of a subject, and a display element; the chemical biosensor detects physiological and biochemical data of the body of the subject and transmits the data to the master controller; the master controller receives the physiological and biochemical data, determines internal water condition and physical fatigue degree of the subject according to the physiological and biochemical data, and transmits the internal water condition and physical fatigue degree to the display element; the display element receives and displays the physiological and biochemical data as well as the internal water condition and physical fatigue degree. In an embodiment of the invention, the internal physiological and biochemical data of the subject is detected using the chemical biosensor by chemical means so as to monitor internal water and physical fatigue degree, it is possible to accurately indicate the current physical condition of the subject and prevent the physical health of a sporter from being harmed due to untimely water supple and untimely fatigue relief.

The invention discloses a simulation experimental device for the coupling effects of solid-liquid-gas three phase media in a coal mine stope. The device comprises a pedestal, a main body frame, side guard plates, a mining assembly, a simulation material layer and a monitoring instrument. With a framed structure, the main body frame is provided with a filling hole on the top, with the bottom connected to the pedestal through a bearing. The side guard plates, made of synthetic glass, are mounted on the front and back side faces of the main body frame to serve as transparent observation windows on the front and back sides. The mining assembly includes a support model in the mining face and a blast pipe and a return air pipe of a ventilation unit. With accurate monitoring results and integrated monitoring means, the device makes fully use of the systematic advantages to conduct timely, field and scientific monitoring and carry out precise prediction, thus providing reliable theoretical basis and guidance for the design and production practice.

The invention discloses a collector with a real-time monitoring function. The collector comprises a laser emission device, a fine particle collecting device and a laser receiving device, wherein the fine particle collecting device comprises a shell, a sampling channel and a grading channel; the sampling channel and the grading channel are separately arranged in the shell; the grading channel is used for firstly grading the particles for the gas entering into the shell; the bigger particles are drained from the grading channel; to-be-monitored fine particles enter into the sampling channel; a barrier plate is arranged in the sampling channel; a flow-guiding hole is arranged on the barrier plate; a second collecting unit for collecting the fine particles is arranged in the flow-guiding hole; the laser emission device is located right above the flow-guiding hole; a receiving unit of the laser receiving device is located right under the flow-guiding hole; a laser beam emitted from the laser emission device passes through the second collecting unit and then enters into the receiving unit of the laser receiving device; and a calculating unit of the laser receiving device is used for calculating the concentration of the fine particles collected on the second collecting unit according to a light intensity signal measured by the receiving unit.

The invention discloses a solar-based soil environment monitoring device which comprises a monitoring shell and a protection energy storage mechanism, wherein the protection energy storage mechanism comprises a protection energy storage cover, the protection energy storage cover is connected with a telescopic lifting rod, the telescopic lifting rod is connected with the monitoring shell, the outerwall of the monitoring shell is connected with a supporting isolation plate, a water guide groove is formed in the surface of the protection energy storage cover, a solar power generation panel is arranged between every two adjacent water guide grooves, and a control system is arranged in the monitoring shell, the control system comprises a CPU processor, and the output end of the CPU processor is connected with an alarm mechanism, and the input end of the CPU processor is connected with a temperature sensor, a humidity sensor and a soil element detection device, wherein a depth detection mechanism is arranged at the bottom of the monitoring shell, the device has a good protection energy storage mechanism, can effectively utilize the solar energy, and is also capable of protecting the device from being invaded by rainwater and sand, the deep soil can be more conveniently detected, the environment monitoring effect is better, and the device is worthy of popularization.

The invention discloses an anti-cavitation protection device of a feedwater pump, which comprises two pressure detection units, a difference value comparison unit and a control system. The difference value comparison unit is used for comparing the difference value of signals detected by the two pressure detection units and comparing and judging a difference value comparison result with a set protection value Dp=NpSH* Rhog, the control system is used for controlling the feedwater pump to trip according to a comparison and judgment result of the difference value comparison unit and carrying out cavitation protection, the two pressure detection units are used for respectively detecting the suction inlet pressure of the feedwater pump and the internal pressure of a deaerator in real time, and the difference value comparison unit and the control system are connected and synchronously transmit the difference value comparison result to the control system. The invention has reasonable design, simple structure, convenient arrangement and real-time, dynamic and accurate reflection of the practical operation working conditions of the feedwater pump, is more scientific, reasonable and reliable than the traditional cavitation protection, and effectively overcomes the defects of necessary big-head booster pump arrangement, easy cavitation protection malfunction, poor use effect, and the like of a traditional feedwater pump.

The invention relates to an online service abnormity monitoring method. The method comprises the following steps that a service reliability experience module, a simulation terminal user access monitoring module and a local service end security agent assistive monitoring and reporting module, respectively intensively and widely sample needed all-level information and relative history online service information of a network layer, an operating system layer, an online Web system and application layer, a database layer and a file system layer which are related to online services, and then, according to sampling results, expert knowledge base information and user feedback base information, determines whether an abnormal event is generated, transmits a determination result to an event management server, an expert feedback module and a user feedback module; and if an abnormal event is generated, a post hoc log analysis and remote local end linked module automatically analyzes every system log, and the event management server gives alarms or displays monitoring results according to analysis results. Compared with the prior art, the method and the system are comprehensive, and have the advantages of high accuracy, high adaptability and the like.

The invention discloses a landslide monitoring method and a monitoring system applying the same. A mountain body movement state is monitored in a mode of creatively combining a tilt sensor and GPS / Beidou differential positioning, and accurate original data is provided for landslide judgment and early warning. The GPS / Beidou-based differential positioning method is applied to monitoring landslide mass, position data of a plurality of monitoring points of a mountain body is monitored, fixed errors of satellite clock, satellite ephemeris, ionized layer time delay and troposphere time delay and the like are eliminated, and the GPS / Beidou positional accuracy is greatly improved.

The invention relates to a transformer winding and iron core fault diagnosis method based on a vibration characteristic. The methods comprises the steps that the time domain sequences of an original vibration signal and a to-be-detected vibration signal are collected; the time domain sequences are respectively transformed into respective frequency domain sequences; the frequency domain sequences of an original iron core vibration signal, an original winding vibration signal, a to-be-detected iron core vibration signal and a to-be-detected winding vibration signal are determined; data processing are carried out on the frequency domain sequences of the original iron core vibration signal, the original winding vib ration signal, the to-be-detected iron core vibration signal and the to-be-detected winding vibration signal; and fault diagnosis is carried out according to the data processing result. The method provided by the invention realizes the separation of iron core and winding vibration signals, can effectively reflect the vibration states of a winding and an iron core of a transformer, and has the advantages of accurate monitoring result and strong practicality.

The invention discloses a device and method for monitoring tube push bench head deviation in real time and belongs to the technical field of tube push bench construction. The device and method are used for solving the problem the monitoring of the tube push bench head deviation is either low in efficiency or high in cost. The device comprises a laser light source arranged on a working well, a light target arranged on a bench head, a clinometer arranged on the bench head, a data collecting module arranged on the bench head and a control center. The connecting line of the center position of the light target and the laser light source is parallel to the horizontal axis of a tube push bench. The data collecting module comprises an image collecting module and a data transmitting module, wherein the image collecting module and the data transmitting module are connected in sequence. The control center comprises a data receiving module and a data processing module, wherein the data receiving module and the data processing module are connected in sequence in a wireless or wired mode, and the data processing module is connected with a display device. By means of the method for monitoring the tube push bench head deviation through the device, operation is easy and convenient, the monitoring efficiency is high, and the monitoring result is accurate.

The invention provides coal mine overburden rock fracturing and a well-ground-air joint monitoring method of surface rock movement, and belongs to the technical field of coal mine monitoring. The coalmine overburden rock fracturing and the well-ground-air joint monitoring method of surface rock movement comprise the following steps that step 1, unmanned aerial vehicle remote sensing monitoring iscarried out; step 2, surface level instrument monitoring is carried out; step 3, geological drill monitoring is carried out; step 4, micro-seismic monitoring is carried out; and step 5, comprehensiveanalysis is carried out. The coal mine overburden rock fracturing and the well-ground-air joint monitoring method of surface rock movement have the beneficial effects that the functions of well, ground and air monitoring are integrated into a whole, the monitoring processes interact and mutually complement, monitoring results are more accurate than monitoring through single method, surface subsidence value, surface subsidence time and rock stratum fracture shape can be accurately determined to provide a basis for the stability assessment of surface buildings, the determination of key strata in underground coal mining, and the judgment and prevention of dynamic pressure disasters induced by overburden failure in stopes.

The invention discloses a monitor system for seeding state of a seeding mechanism of a paddy planter. The system comprises an infrared transmitting tube D1 and an infrared receiving tube which are arranged separately at two opposite sides of the seeding tube, a comparator connected with the infrared receiving tube and a control system connected with the comparator. The infrared receiving tube transmits a signal result received from the infrared transmitting tube to the comparator according to the situation of seeds falling, and the comparator compares the preset reference voltage to the signal voltage and outputs a pulse signal of seed state. The control system calculates the seeding quantity and the amount of seeding holes according to the pulse signal, and determines the seeding situation of a seeding port of the paddy planter. The system has the advantage of accurate monitoring result, can monitor the seeding quantity in real time and effectively reduce missing of seeding.

The invention discloses a distributed optical fiber monitoring system for tunnel surrounding rock deformation and construction and monitoring methods thereof. The monitoring system is composed of a first sensor, a second sensor, and an information system. The first sensor and the second sensor can be connected in series and then connected with the host interface of the information system to form a closed loop. According to the construction method, sensing fibers are symmetrically arranged in four grooves in the outer wall of a hollow circular pipe to form vertical and horizontal sensing loops, and sensors are embedded into pre-excavated trenches in the surrounding rock of a tunnel. According to the monitoring method, the vertical displacement distribution of the sensors can be calculated by performing differential and integral operations on the strain of the two fibers in the symmetrical first and second grooves of the hollow circular pipe. Distributed monitoring and real-time and advance monitoring are adopted. The data is stable and reliable. The cost is low. The monitoring system is suitable for dynamic real-time monitoring of the vertical and horizontal deformation of the surrounding rocks of existing highways under tunnels, tunnels, office buildings and other structures, and in influence areas of buildings.

The invention discloses a tool and a method for automatically monitoring and collecting fault hard disk logs. A realization process is that firstly the tool for automatically monitoring and collecting the fault hard disk logs is installed in an operation system and then runs; the tool for automatically monitoring and collecting the fault hard disk logs regularly captures RAID card logs, and according to the captured RAID card logs, analyzes and judges whether a hard disk fault exists or not and a fault hard disk has a Smart error or not; and the tool for automatically monitoring and collecting the fault hard disk logs sends the analyzed information to a specified position, thereby prompting a maintainer to perform hard disk monitoring. Compared with the prior art, the tool and the method for automatically monitoring and collecting the fault hard disk logs have the advantages that the limitation of conventional hard disk monitoring is broken through; secondly a hard disk monitoring method is improved, the complexity is simplified, and full automation is realized; and finally a test result is relatively intuitive, whether the hard disk is abnormal or not can be directly judged, the position of the fault hard disk can be positioned, Smart logs of the hard disk are collected, and the practicality is high.

The invention discloses detecting equipment for a water quality environment based on Internet of Things. The detecting equipment comprises a floating body, wherein a support is fixedly arranged at thetop of the floating body; a solar panel is fixedly arranged on the support; overwater cameras are fixedly arranged at the top of the floating body on the side of the support; a first waterproof coveris arranged on each overwater camera in a sleeving manner; LED lamps are arranged on the side of the floating body; the bottom center of the floating body is fixedly connected with one end of a floating lever; a counter weight is fixedly arranged at the end part of the other end of the floating lever; mounting plates are arranged on the floating lever in a sleeving manner; a chloride ion sensor,a dissolved oxygen sensor, a conductivity sensor, a turbidity sensor, a PH value sensor, a water level sensor and a temperature sensor are respectively and fixedly arranged at the bottom of each mounting plate along the circumference. According to the detecting equipment disclosed by the invention, by arranging a GPS positioning module, a remote computer terminal and the mounting plates, the problems that traditional detecting equipment for a water quality environment cannot comprehensively detect data, is lower in accuracy and is difficult to detect in a real-time layering manner are solved.

The invention discloses a high-speed train wheel track contact stress test bench. A rack of the test bench is provided with a left wheel carrier and a right wheel carrier for mounting a wheel set; the wheel axle of the wheel set is mounted on the left and right wheel carriers through bearings; the left end of the wheel axle is also connected with an output shaft of a speed reducer through a dynamic load clutch; an input shaft of the speed reducer is connected with a drive motor shaft through a coupling; the right end of the wheel axle is connected with an output shaft of a static load servo motor through a static load clutch; the static load servo motor is mounted on the rack through a servo motor frame; a strain detection device is mounted on the wheel set and connected with a wireless transmission device; a signal sent by the wireless transmission device is received and processed by a data processing device. The test bench can more truly simulate the stress generated by the train wheel set in the working condition of high-speed rotation, ensures more accurate, complete and correct monitoring results, and provides more reliable experimental data for the improvement of safety and comfort of train operation.

The invention discloses a storage battery pack online monitoring method. The method comprises the following steps that state parameter data of a storage battery pack and state parameter data of each single storage battery are acquired; the acquired state parameter data of the storage battery pack and the state parameter data of each single storage battery are analyzed and processed so that analysis and processing results are obtained; the state parameter data of the storage battery pack are compared with the pre-stored storage battery pack state standard value so that a storage battery pack state feedback result is obtained; and the state parameter number of each single storage battery is compared with the pre-stored single storage battery state standard value so that a single storage battery state feedback result is obtained. The invention also discloses a storage battery pack online monitoring system. Storage battery pack performance online monitoring can be realized without artificial intervention so that the monitoring method is convenient and rapid and the monitoring result is stable and accurate.

The invention relates to a method and system for monitoring a pitch bearing. The pitch bearing (100) comprises bearing end faces (130, 140) and bolt holes (1 to 54) disposed on the bearing end faces (130, 140). The monitoring method comprises: using a fiber bragg grating sensing measuring system (500) to monitor the temperature and strain parameters of the bearing end faces (130, 140) or the bolt holes (1 to 54); and using the temperature parameters to correct the strain parameters of the bearing end faces (130, 140) or the bolt holes (1 to 54) to obtain actual strain parameters.

The invention relates to an agricultural facility remote sensing extraction method and device based on fine classification. The agricultural facility remote sensing extraction method introduces a deeplearning technology into agricultural facility remote sensing extraction, realizes full-automatic acquisition of agricultural facility contour boundaries, the number and the area, avoids the complexfeature selection process in a traditional pixel classification method and an object-oriented classification method, remarkably improves the agricultural facility extraction precision, and saves manpower and time. The agricultural facility remote sensing extraction method also subdivides agricultural facilities into common single plastic agricultural facilities, multi-span agricultural facilities,multi-span or single agricultural facilities covered with sunshade nets, greenhouse agricultural facilities, agricultural facilities without thin film coverage and equipment rooms. The agricultural facility remote sensing extraction method performs training and extracting on the agricultural facilities in different scenes, and fuses the results of the different types of agricultural facilities inthe final result.

The invention discloses an oil reservoir water injection self-adaptive deep global regulation device and a construction method. The regulation device comprises agent dissolution and storage equipment and agent injection equipment which is connected with the agent dissolution and storage equipment through a connection pipeline. The agent dissolution and storage equipment comprises a cleaning and unchoking agent dissolution tank, a plurality of regulation agent dissolution tanks, an agent liquid mixer, an agent storage tank and a main liquid intake pipe. The agent injection equipment comprises a main liquid delivery pipe, a plunger pump installed on the main liquid delivery pipe, a liquid distributor connected with a liquid outlet of the main liquid delivery pipe, and a plurality of liquid injection pipes. The construction method includes the following steps that firstly, a well area to be regulated is determined; secondly, the equipment is placed in position and connected through the pipeline; thirdly, water is injected, and a pressure drop curve is tested before regulation; fourthly, cleaning and unchoking are conducted before regulation; fifthly, oil reservoir water injection self-adaptive deep global regulation is conducted on a target stratum. The oil reservoir water injection self-adaptive deep global regulation device is reasonable in design, convenient to install and lay, easy and convenient to operate, good in use effect and capable of effectively improving water displacing oil work efficiency and crude oil recovery efficiency.

The invention discloses a multiparameter sensed transformer optical fiber sensor installation method. The method comprises installation methods of a winding temperature-measuring optical fiber sensor,a winding press-boots dynamic pressure optical fiber sensor, a vibration optical fiber sensor and a local discharge optical fiber sensor, wherein the winding temperature-measuring optical fiber sensor comprises a single-point type temperature-measuring optical fiber and a quasi-distributed optical fiber grating string, the single-point type temperature-measuring optical fiber is buried in a cushion block between wire cake and used for measuring hotspot temperature of the winding, and the distributed optical fiber grating string is buried in a winding outer stay and used for measuring temperature field intensity distribution of the winding. The installation method disclosed by the invention provides a solution scheme for the comprehensive sensing of the transformer state and the online andreal-time monitoring on the multiple parameters of internal temperature, pressure, vibration and local discharge.

A performance monitoring method for thermal power equipment based on big data analysis mining mainly comprises the following steps: step 1, implementing correlation analysis and principal component analysis on the health running data of a power station; and step 2, obtaining principal component variables of equipment by using the correlation of the equipment data and performing principal component analysis, establishing a three-dimensional cluster for normal operating conditions by performing density-based clustering analysis, and monitoring the performance of the equipment by using the cluster. Compared with a traditional performance monitoring method for the thermal power equipment, the performance monitoring method using the big data can fully use a large number of the thermal power plant operating data, and thus the real-time performance of the equipment can be reflected, and the monitoring accuracy can be increased.

The embodiment of the invention discloses a driving navigation method, device and system, used for providing accurate road information for a driving vehicle and improving the driving navigation precision and accuracy. The driving navigation method provided in the embodiment of the invention is applied to a first server in the driving navigation system; the driving navigation system further comprises a road facility and a terminal; the first server respectively communicates with the road facility and the terminal; the first server receives first road monitoring information periodically sent bythe road facility; the first road monitoring information comprises a monitoring result of a road, where the road facility is; the first server obtains the road information of the position, where the terminal is, according to the first road monitoring information; the range of the road, where the road facility is, covers the position, where the terminal is; and the first server sends the road information of the position, where the terminal is, so that the terminal performs driving navigation processing according to the road information of the position, where the terminal is.