716 results about "Mobile phone signal" patented technology

The invention relates to a mobile phone case with a signal shielding function. The mobile phone case consists of a leather housing (1), a graphene film layer (2), a cotton liner (3), a zipper (4), and a graphene film overlapped edge (5), and is characterized in that the graphene film layer (2) is sewn in an interlayer formed by the leather housing (1) and the cotton liner (3); both ends of the leather housing (1) are sewn together by the zipper (4) and then are sewn inside the zipper (4) by the graphene film overlapped edge (5). According to the mobile phone case, all mobile phone signals from the outsides can be effectively shielded, so that a user cannot be entangled due to shutdown when using a mobile phone.

The invention provides a method for detecting traffic state based on mobile phone signals. A virtual sensor network is set up to acquire the real-time signal data sent from all mobile phones within a time interval from a mobile phone network at a fixed time interval, a virtual sensor section and the traveling speed vi can be obtained according to the real-time signal data sent from an i-th mobile phone; the virtual sensor section is superposed onto a road network to obtain the road network section and the traveling speed Vi of the i-th mobile phone; a real-time traffic flow intensity K and a section traffic flow Q can be obtained by collecting the number n of the mobile phones on each road network section and the traveling speed V of each road network section; and finally, through a traffic parameter prediction model, the predicted traffic flow speed V, the traffic flow intensity K and the section traffic flow Q can be obtained. The method has the advantages that the large range of real-time traffic data acquisition in the city can be completed in a short time by fully relying on the existing mobile communication network resources, and utilizing the information in the existing mobile phone communication network, meanwhile, the initial investment is relatively small, the data coverage is wide, and data accuracy is high.

A method and apparatus for automated detection of mobile phone usage by drivers of vehicles includes at least one mobile phone signal receiving device, at least one image capturing device, at least one infrared illuminator and at least one computer. The mobile phone signal receiving device is operative to detect a mobile phone signal transmitted from a vehicle. The at least one image capturing device is operative to capture infrared light reflected off of the driver of the vehicle. The at least one computer is operative to store, in a storage device, information associated with at least one of the mobile phone signals transmitted from the vehicle and the at least one image of the vehicle. The information stored in the storage device may be used to determine if a person associated with the vehicle should be prosecuted for illegal use of a mobile phone while driving the vehicle.

A method, apparatus, and computer-readable media for determining the position of a user terminal comprises receiving at the user terminal a broadcast television signal from a television signal transmitter; determining a first pseudo-range between the user terminal and the television signal transmitter based on a known component of the broadcast television signal; receiving at the user terminal a mobile telephone signal from a mobile telephone base station; determining a second pseudo-range between the user terminal and the mobile telephone base station based on a known component of the mobile telephone signal; and determining a position of the user terminal based on the first and second pseudo-ranges, a location of the television signal transmitter, and a location of the mobile telephone base station; wherein the mobile telephone signal is selected from the group consisting of a EDGE (Enhanced Data Rates for Global System for Mobile Communications (GSM) Evolution) signal; a Code-Division Multiple Access 2000 (cdma2000) signal; and a Wideband Code-Division Multiple Access (WCDMA) signal.

The invention discloses a user residing location identification method based on mobile signaling data. The method firstly establishes a mapping relation between a base station and a geographic position, then processes user signaling data to build a daily trace sequence of the user, further identifies user residing points in combination with a judging rule, and then calculates residing duration and residing weight ratio of each residing point and identifies the residing location of the user according to a residing location identification function. The method provided by the invention has the advantages of taking mobile phone signaling data of which cost is low and coverage area is wide as input, building the trace sequence of the user through a clustering method, reducing amount of calculation and improving calculation efficiency; meanwhile, an identification mechanism based on the residing weight ratio of the user is used for identifying the residing location of the user, thus, accuracy of identification of the residing location of the user is improved. The method provided by the invention can be used for quickly and automatically identifying the residing location of the user.

The invention relates to a mobile phone information processing method, in particular to a mobile phone signaling trip chain-based OD matrix acquisition method. The method includes the following steps that: mobile phone signaling trip chain data of a specified date are acquired according to sampling requirements; an origin point (O point) and a destination point (D point) of a trip are determined according to the mobile phone signaling trip chain data; a sample is expanded according to a sampling coefficient; coarse granularity information OD matrix data are obtained; mode divisional OD matrix data are obtained; a multiple-trip OD matrix data are obtained; and a trip occurrence attraction histogram and a corresponding OD expectation graph are outputted. According to the mobile phone signaling trip chain-based OD matrix acquisition method of the invention, the trip chain data which are depicted by mobile phone signaling information and are simple in acquisition mode, low in acquisition cost, large in sample information and flexible in sampling time are utilized to construct a coarse granularity information OD matrix, a trip mode divisional OD matrix and a multi-destination and multi-trip OD matrix. The mobile phone signaling trip chain-based OD matrix acquisition method has the advantages of high real-time performance and high precision.

The invention discloses a method for collecting abnormal data of a TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) wireless communication network user terminal. The method comprises the following steps: firstly, collecting key information of a wireless communication network at real time when a wireless communication network service is used by a user, thereby generating a data log file; comparing the collected network information with a built-in database so as to judge the network state; if the fact that the network is abnormal is detected, judging a reason and writing an abnormal reason and abnormal mobile phone signaling information into the data log file; automatically giving an uploading prompt and automatically uploading the log data onto an appointed back-stage management platform after being agreed by the user; and lastly managing and automatically analyzing the log data in the back-stage management platform. The method can be used for finding out abnormal phenomenon in daily service process based on a commercial terminal, more approaching to network use perception of an ordinary user, efficiently ensuring the consistency of user action and testing result as well as user perception, and more comprehensively estimating the property and the service quality of the whole network.

An improved device for receiving and transmitting mobile telephony signals comprises at least 4 channels. Each of the at least 4 channels (K1, K2, K3, K4) can be controlled with a transmission signal, that is different from the other channels, which can be generated with a separate channel module (KM1, KM2, KM3, KM4) from various data streams. A controller device is provided for, via which several or all of the power amplifiers, which are connected in several or all channels (K; K1, K2, K3, K4), can be operated in-phase or phase-locked with each other, in such a way that the transmission signals (TX) amplified in the channels concerned (K; K1, K2, K3, K4) can be synchronized and interconnected. As a result, a transmission signal can be radiated with a higher transmission power.

The invention discloses a highway human-vehicle correlation system comprising a camera, a mobile phone signal probe and a processor. The camera is used for acquiring the vehicle image information on the highway. The mobile phone signal probe is used for acquiring the mobile phone IMEI/IMSI information of the passenger on the highway. The processor is used for judging whether the vehicle and the passenger are in the same position at the same moment according to the vehicle driving tracks and the passenger movement tracks and whether the speed is identical in the same position; and if the vehicle and the passenger are in the same position at the same moment and identical in speed, the passenger is judged to be on the vehicle, one or multiple passengers of the same speed and the same positionare correlated with the vehicle and passenger judgment of the vehicle can be realized. The highway human-vehicle correlation system is used for realizing simultaneous supervision of the vehicle and the passenger, and the vehicle and the passenger are correlated so that the highway management personnel are enabled to be clear about the operation situation of the vehicle and understand the carryingsituation of the vehicle and the movement situation of the passenger, the working efficiency of the highway management personnel can be enhanced, and the system can be widely applied to the field ofpeople and traffic management and control and monitoring of the traffic accident.

The invention discloses a preprocessing method of a mobile phone signaling trajectory based on clustering outlier analysis, which reasonably and effectively cleans and denoises base station location data to remove abnormal data, so as to acquire relatively accurate trajectory data on the premise of ensuring original motion characteristics of the data. The method comprises the following steps: on the basis of removing a time repeated sampling value and an invalid sampling value of the trajectory data, performing sub-trajectory segmentation by recognizing the abnormal sampling interval; using an outlier detection algorithm to detect outliers, and dealing with larger system noises; and using Kalman filtering to deal with inherent noises, so that the trajectory data which can perform subsequent mining processing can be obtained. Compared with the prior art, the preprocessing method of the mobile phone signaling trajectory provided by the invention has the following beneficial effects: reasonable and effective multi-level pretreatment, cleaning, denoising and anomalies removal are performed on the base station location data, so that relatively accurate trajectory data can be obtained on the premise of ensuring the original motion characteristics of the data.

The present invention provides a method for calculating a highway section average speed based on mobile phone signaling data. The method comprises a step of obtaining base station information and the GIS information of a target highway, and converting information into a coordinate, (2) gridding on a highway, and establishing the mapping relation between a base station and the highway, (3) carrying out section dividing according to the border cell corresponding projection point of a position area, (4) obtaining the mobile phone signaling data in several continuous time periods T, and constructing a user mobile trajectory, (5) carrying out road matching by using the similarity, motion direction and speed of a base station sequence in the user trajectory, and thus identifying a highway vehicle-borne mobile phone user, and (6) according to the highway vehicle-borne mobile phone user identified by the step (5) and the mapping table of the base station and a mapping point established in the step (2), calculating the travel speed vp of each vehicle-borne mobile phone in a road section i, and then calculating the average travel speed vi in the road section i. According to the method, the existing mobile network information is fully utilized so as to improve the accuracy of speed calculation, and a data support is provided for the low-cost, all-weather, large-range and real-time traffic state monitoring of the highway.

The invention is applied to the rail traffic field, and provides a path recognition method based on mobile phone signaling data. The path recognition method comprises the steps that the mobile phone signaling data of a passenger is mapped to a geographic information database, and path information of traveling of the passenger is acquired; information recognition is conducted according to the pathinformation to obtain path recognition information including an inbound station, a transfer station and an outbound station of the passenger; the path recognition information and time information in the mobile phone signaling data are matched with a train running schedule to obtain a riding scheme set of the passenger; and the riding scheme set of the passenger is matched with the mobile phone signaling data to obtain traveling train number information of the passenger. According to the path recognition method based on the mobile phone signaling data, the traveling time and the traveling trainnumber information of the passenger are matched by combining the mobile phone signaling data of the passenger with the train running schedule, base station information and the like, and the defect that in the prior art, the space-time path information of traveling of the passenger cannot be acquired is overcome.

The invention provides a dynamic population distribution density detecting method based on mobile phone positioning data, which is characterized by including the steps: dividing an analysis area coverage, needing population distribution density analysis, of a target city into different subareas, subsequently, establishing a virtual sensor network, obtaining the mapping relation between each subarea and the virtual sensor network, and obtaining a sum of the population in each subarea according to mobile phone signals. The dynamic population distribution density detecting method based on the mobile phone positioning data has the advantage that dynamic population distribution density detection is realized by fully depending on existing mobile communication network resources, utilizing mass mobile phone signal data as input and employing a distinguishing mechanism based on traveling track continuous tracking and stay duration time in the area. The method can be used for automatically detecting population distribution density information at a high frequency.

The invention discloses an SIM card compatibility automated test method and an SIM card compatibility automated device. The SIM card compatibility automated test method comprises the following steps:step01: a computer, an SIM card set and a mobile phone are connected; step02: the computer sends out an instruction to connect one SIM card of a SIM card set and a mobile phone signal, wherein, the SIM card is defined as a working SIM card; step03: the computer sends out an instruction to test whether the working SIM card and the mobile phone are compactable or not; step04: the computer judges weather all SIM cards in the SIM card set finish the test or not; if all the SIM cards in the SIM card set finish the test, step 06 is executed, and otherwise, the step 05 is executed; step05, the computer sends out an instruction for connecting a next SIM card of the working SIM card in the SIM card set and the mobile phone signal, and the next SIM card is defined as a working SIM card, and then thestep 03 is executed; and step06: logout. The invention has the advantages that automated test can be realized.

A shielding arrangement for preventing AM radio interference when a wireless charger is used in a vehicle has a plurality of parallel conductors arranged at a distance from one another responsive to a frequency desired to be attenuated. An interconnection arrangement includes a solid conductive junction and connects the conductors to one another without forming loops, and to ground. The conductors are traces disposed on a PCB. Additional parallel conducts are disposed on the other side of the PCB at an orthogonal orientation with respect to the first conductors. The spacing between the conductors is determined in response to the frequency desired to be attenuated, as well as frequencies thereabove that are desired to be propagated therethrough, such as mobile telephone signals. The solid conductive junction that is disposed on the printed circuit board is electrically and thermally conductive, such as copper.

The invention relates to resident travel OD matrix calibration method by use of mobile phone signaling big data and dynamic traffic distribution. The method comprises the following major steps: a city road simulation network model is constructed, simulation parameters of each road in a constructed city road network are calibrated by use of microwave and bayonet data, a real traffic flow in an actual road network is obtained by use of a microwave detector, a traffic flow of an initial OD matrix is obtained by use of mobile phone signaling data, through a dynamic traffic distribution method, an initial traffic flow is dynamically adjusted so as to be enabled to be close to the real traffic flow in the road network, an error between a simulation estimation traffic flow and the real traffic flow is calculated, if the error satisfies a threshold, calibration ends, and otherwise, dynamic distribution based on simulation is continuously carried out until the calibration ends. According to the invention, a dynamic OD matrix of resident travel is calibrated by use of the mobile phone signaling big data, and the method has the advantages of stable and objective data information sources, large sample size, wide coverage scope, high data precision, high dynamic performance and the like.

The invention relates to a mobile OA system of a mobile phone terminal, comprising a smart mobile phone terminal, a mobile communication network and a mobile MAS server, wherein, the smart mobile phone terminal is taken as a client side of the mobile OA system; and the mobile communication network is used for sending and receiving information, configuring the mobile phone information of the mobile OA system by virtue of a GPRS gateway, setting an access control list and movably allocating fixed IP addresses when a mobile phone accesses a GPRS network; and the mobile MAS server is used for communication between the mobile phone terminal and the server. The mobile OA system of the mobile phone terminal can achieve working anytime and anywhere, improve the working efficiency, ensure the safety of the whole system and promote development of office informationization.

The invention provides a railway transportation junction population type identification method based on mobile phone signaling data. The method comprises the steps of aiming at the specific city hubs,such as the high-speed railway stations, the railway stations, etc., based on the relationship between the geographic information of a hub station and the service range of an operator base station, obtaining a target hub base station, utilizing the space-time information of the mobile phone signaling data to obtain a user travel track occupying the hub base station; according to the different characteristics of various populations in time and air, and by a logic relationship between each stay point in a travel track chain and the hub base station, identifying and judging the types of different populations, so that the qualitative and quantitative basis is provided for the further analysis and planning of the hub transportation, at the same time, by utilizing the characteristics of large sample size, wide coverage, mature and stable acquisition mode, lower cost and the like of the mobile phone big data, the result accuracy is improved, meanwhile, the process cost is reduced, and the research efficiency is improved.

The invention discloses a congestion early warning method for an expressway bottle-neck road segment. The congestion early warning method comprises the following steps that data of all toll stations,flow data of vehicles which enter and leave from the stations and mobile phone signaling data of all users who enter the stations in a selected area are collected; OD matrix models of the toll stations and the road resistance coefficients of all paths in all OD pairs are established, and the optimal paths of all the OD pairs are determined; according to the collected mobile phone signaling data, the vehicle speed is evaluated, and the required time when the vehicles run to the bottle-neck road segment is calculated; the flow of the vehicles which reach the bottle-neck road segment in a specific time period is counted, and if the flow of the vehicles exceeds a traffic flow threshold valve of the bottle-neck road segment, congestion early warning is conducted. The congestion early warning method for the expressway bottle-neck road segment has the advantages that the mobile phone signaling data is used for evaluating the vehicle speed and the flow data of entrances of the toll stations, the flow of the vehicles which pass through the bottle-neck road segment in a certain time range is predicted, early warning can be conducted ahead of schedule, and the running efficiency of an expressway can be improved; application of physical detection devices such as ground sensing coils can also be avoided to a certain extent, and the cost is saved.

The invention discloses a road network matching method and system. The method comprises the following steps: acquiring a road section mapping relation between a base station and a covered region; acquiring mobile phone signaling data of a user; cleaning the mobile phone signaling data; determining all stay points of the user; determining multiple sections of tracks of the user; carrying out feature extraction on each section of the track of the user; determining the trip mode corresponding to each section of the track by adopting a decision tree algorithm; extracting all tracks in which the trip mode are vehicles, and generating a set of to-be-matched tracks; determining similar historical tracks corresponding to each section of the to-be-matched track in the set of the to-be-matched tracks; carrying out interpolation on the to-be-matched tracks according to the similar historical tracks, so as to obtain an updated set of the to-be-matched tracks; converting base station sequences corresponding to each section of the tracks into a road section sequence; and determining a matching road section sequence according to a hidden Markov model, so as to obtain a road network matching result. According to the method and system, the covering range of the road network matching can be increased, and the road network matching precision can be increased.

The invention provides a method used for enhancing signals of a wireless transmission device of a mobile phone. According to the method, at least one metal piece is gap-coupled to a mobile phone to change the frequency response of an antenna arranged on the mobile phone, wherein the at least one metal piece partially overlaps with the mobile phone. The invention further provides a structure using the method, and the structure can be combined with the mobile phone and is used for protecting the mobile phone. The structure comprises a body and at least one metal piece, wherein the body includes a placement surface used for placing the mobile phone and a side surface capable of wrapping the mobile phone after the mobile phone is placed, and the at least one metal piece is connected with the body.

The invention provides a mobile phone application testing method based on mobile phone interface control elements. The method comprises the steps that a client program acquires the description information of all the control elements on a mobile phone interface, wherein the information includes ID, text, element size, element position and whether a control is clickable; a unique identification is generated for each control by means of the information; for each control, the unique identification and an operation instruction aiming at the control are sent to a mobile phone app, and then corresponding operation is conducted on the control by the mobile phone app. According to the method, each control is provided with a unique identification to be recognized, the unique identification of each control is unchanged on different mobile phones with different resolutions, a test case does not need to be rewritten, workload is small, the readability of the case is high, only a small part of system resources is occupied, and testing time is short.