398 results about "Signal parameter" patented technology

Disclosed in the present invention is a non-autoregressive Transformer-based modeling method for a 4-level pulse amplitude modulation high-speed transmitter. The method involves establishing a deep learning model having an encoder-decoder architecture to predict the behavior of a 4-level pulse amplitude modulation transmitter. An encoder processes unordered non-sequential inputs, including an input signal parameter and link parameters, to generate a context vector and then transmit same to a decoder. The decoder uses both the context vector generated by the encoder and a transmitter output signal sequence to generate a categorical probability distribution for each point in the sequence one by one. The model is trained using a random masking strategy, and inference is performed by means of non-autoregressive decoding and filtering, so that the model can perform parallel prediction on an output sequence, and perform a filtering process to predict an output signal. Compared to traditional simulation methods, the present invention achieves a significant acceleration effect, particularly when processing multi-link systems.

The invention relates to the technical field of power management, in particular to a multi-source data fusion photovoltaic power scheduling control system, which comprises a sensing extraction module, a disturbance identification module, an offset trend analysis module, a path switching module and a frequency band suppression module. According to the method, a disturbance pre-judgment interval is identified by constructing a time derivative sequence and combining illumination and wind speed trend change in a continuous period, a disturbance time period is accurately discriminated, the disturbance interval is confirmed and disturbance characteristics are extracted through conjoint analysis of photovoltaic and energy storage current change trend and grid-connected point fluctuation amplitude, and the disturbance accuracy is improved. An offset trend curve is formed by calculating photovoltaic and energy storage current change differences, the energy supply offset degree is judged in real time to trigger scheduling conditions, dynamic suppression adjustment is performed on regulation and control signal parameters according to spectrum energy distribution, the accuracy and timeliness of disturbance recognition, energy supply offset judgment and frequency band regulation and control are improved from multiple levels, and the energy storage and energy supply efficiency is improved. And more stable and efficient optical storage combined scheduling control is realized.

The invention relates to the technical field of unmanned aerial vehicle monitoring and trajectory processing, and discloses a low-altitude unmanned aerial vehicle dynamic trajectory tracking and predicting method based on multi-base-station cooperation. The method comprises the steps that signal parameters are obtained through multi-base-station collaborative observation, and a multi-modal position prediction set is generated; and performing classification and scoring according to the spatial distribution characteristics of the candidate points and the historical track points, and screening out an optimal prediction position point. And inputting the optimal prediction point and the historical trajectory into a generative model, and dynamically adjusting the number of trajectory points by analyzing the point distribution probability to form a preliminary smooth trajectory. And performing physical feasibility verification and fine adjustment on the trajectory according to kinematics constraints to obtain a final smooth continuous trajectory. And matching degree calculation is carried out by fusing alternative trajectories generated by a multi-kinematic model, and the most probable target trajectory is identified. According to the method, the robustness of trajectory prediction and the structural rationality of the generated trajectory in a complex observation environment are improved.

The invention discloses an unmanned aerial vehicle countering method and countering device for radio detection, and relates to the field of signal processing, and the method comprises the steps: scanning and capturing a transient radio frequency pulse signal through a radio frequency receiving array, carrying out the time-frequency domain conjoint analysis, constructing a signal intensity space distribution matrix, and extracting a parameter set; matching with a protocol feature library, identifying an unmanned aerial vehicle remote control link protocol type, and calculating an unmanned aerial vehicle position and a threat level in combination with a signal time difference of arrival and a frequency difference; generating adaptive interference signal parameters according to the protocol type and the threat level; the method comprises the following steps: generating a directional beam through a two-dimensional phased-array antenna, focusing the position of an unmanned aerial vehicle to transmit an interference signal, monitoring signal intensity change and protocol response delay in real time, calculating a communication suppression ratio, and iteratively optimizing an interference strategy until a suppression threshold is reached. The method has the advantages that efficient and accurate signal capture and interference are realized through multi-channel radio frequency detection, accurate positioning and adaptive interference technologies, and the countering efficiency and adaptability are remarkably improved.

The invention relates to the technical field of indoor 5G network optimization, and discloses an indoor 5G network optimization system based on ray tracing, which is characterized in that a network signal state parameter set is dynamically acquired through a signal parameter acquisition module, a signal coverage risk is judged, and a collaborative analysis instruction is triggered to execute a ray tracing analysis module and an interference characteristic analysis module; and respectively acquiring a propagation stability index and an interference evaluation value. And the multi-source fusion judgment module receives the two values to carry out cooperative analysis on the network coverage adaptability, and generates antenna adjustment and power optimization signals. And the optimization parameter generation module is matched with the strategy to generate antenna angle adjustment and power correction parameters. The system further comprises a coverage coupling analysis module monitoring signal and building structure coordination and a dynamic feedback execution module to form a closed-loop control link, and intelligent optimization of an indoor 5G network is achieved.

The invention belongs to the technical field of power system protection, and discloses a circuit breaker fault diagnosis method and system, and the method comprises the steps: obtaining a real-time vibration signal parameter and a current signal parameter in the operation process of a circuit breaker; identifying an aging drift signal cluster according to amplitude fluctuation in the vibration signal parameters and phase deviation in the current signal parameters; acquiring the drift response level of the aging drift signal cluster at each moment according to the signal direction change and amplitude stability of the aging drift signal cluster; screening a high-priority diagnosis cluster based on the drift response level; according to the drift response level of the high-priority diagnosis cluster at each moment and the current signal parameter of the high-priority diagnosis cluster at the same moment, obtaining a diagnosis guidance index of the corresponding diagnosis cluster; and dynamically adjusting a health baseline threshold value based on the diagnosis guidance index so as to realize adaptive diagnosis of the circuit breaker fault. And the accuracy of fault diagnosis of the circuit breaker is greatly improved.

The invention discloses a rock stratum drilling in-situ identification method based on physical information machine learning and an application thereof, which are used for solving the technical problem of in-situ sensing of unknown rock mass properties in a drilling process. Multi-source signal parameters including drilling pressure, drilling rod torque, drilling rod rotating speed, drilling speed and drilling vibration and acoustic emission signals are collected in the drilling process, CEEMDAN-VMD combined denoising and feature extraction are carried out, and fused feature vectors are input into a physical information machine learning model; and outputting the strength prediction value of the drilled rock stratum and the prediction value of the rock mass category on line in real time. The method is applied to innovative combination of freeze-thaw environment simulation, rock drilling process test and lithology intelligent identification, an advanced means is provided for drillability evaluation of freeze-thaw rock mass, data support can be provided for blasting parameter intelligent design and slope stability early warning, and the method has good engineering applicability and popularization value.

The invention relates to the technical field of natural gas transportation safety, in particular to a hydrogen embrittlement risk online monitoring system and method for a hydrogen-doped natural gas pipeline based on multi-parameter fusion, and the system comprises a sentry sensing unit which adopts a metal short pipe which is the same as a to-be-monitored hydrogen-doped natural gas main pipeline in property, material, process, wall thickness and service history, an internal circulating medium is kept consistent with the main pipeline; the risk sensor is provided with a multi-parameter sensor to obtain risk sensing parameters including hydrogen permeation current, pipe wall micro-strain and temperature signal parameters; the signal processing unit is connected with the sentry sensing unit, receives the risk sensing parameters and analyzes and generates hydrogen embrittlement risk indexes through a risk analysis model; and the risk warning unit is connected with the signal processing unit, and triggers a danger prompt signal when the hydrogen embrittlement risk index is greater than a preset safety index. The method has the effect of meeting the danger monitoring effectiveness of safe operation of the hydrogen-doped natural gas pipeline.

The application provides a base station installation optimization method and system based on signal twin model analysis, and belongs to the field of base station layout optimization. The method comprises the following steps: randomly configuring a base station distribution position list and matching a base station cell list; determining a theoretical signal receiving power distribution and a theoretical signal to noise ratio distribution of a target area; correcting the theoretical signal receiving power and the theoretical signal to noise ratio to determine a corrected signal receiving power and a corrected signal to noise ratio; partitioning the target area to obtain an abnormal signal area; and when the abnormal signal area is equal to 0, setting the base station distribution position list as a base station installation target scheme. The application solves the technical problem that the determination of the base station installation position in the prior art only depends on theoretical signal analysis, which leads to a deviation between the actual signal coverage effect after the base station is deployed and the theoretical expectation, and achieves the technical effect that the theoretical signal parameters are corrected by combining the actual environment, the base station installation layout is optimized, and the actual deployment effect meets the theoretical expectation.

The embodiment of the invention discloses an equipment pointing control method and system. The method comprises the following steps: in response to a gesture action of a user, sending a UWB signal to each UWB anchor point, and receiving signal arrival time recorded by each UWB anchor point; determining target position information of the control terminal in the three-dimensional space based on the signal arrival time and a preset positioning algorithm; determining signal parameter information from the target equipment to the control terminal when the control terminal points to the target equipment, and locking the pointed target equipment based on the target position information and the signal parameter information; and determining gesture motion track information based on the acquired acceleration data, and matching a control instruction based on the gesture motion track information and a preset track template so as to send a corresponding control instruction to the target equipment. According to the technical scheme, the pointing accuracy and the pointing success rate of the equipment can be improved, and centimeter-level precision non-inductive control is achieved.

The invention relates to an engineering machinery remote control method and device based on the Internet of Things, equipment and a medium. The method comprises the following steps: acquiring multi-source data of a working site, and after preprocessing, separating key features by using an optimized support vector machine model to obtain a key feature set; based on the set, utilizing a deep neural network to fuse multi-source data to generate an integration state model, and synchronously and dynamically adjusting data acquisition frequency according to network bandwidth fluctuation to obtain a final integration state model; the transmission delay of the data is evaluated, semantic classification and compression are carried out on the optimized data, and a visual interface is generated after transmission analysis; and acquiring interface interaction data, converting the interface interaction data into a control instruction, calculating a signal parameter modification value, verifying control delay compliance, and finally generating remote control response data containing execution confirmation information. By adopting the method, the intelligent level and the operation safety of remote control of the engineering machinery are remarkably improved, and the labor and operation and maintenance cost is reduced.

A gimbal, a balancing method, a control method, a balancing motor and a gimbal assembly are provided. The balancing method includes: controlling a driving motor to rotate, and obtain a first electric signal parameter of the driving motor, where the gimbal includes a rotating assembly and a balancing motor, and the rotating assembly includes a gimbal component, a transmission mechanism and a driving motor. The driving motor is configured to drive the gimbal component to rotate so as to adjust the attitude of the gimbal. The balancing motor is configured to drive at least part of the gimbal component to move via the transmission mechanism so as to adjust the center of gravity of the gimbal. The operation of the balancing motor may be controlled based on the first electrical signal parameter to make the gimbal in a balanced state in an adjustment direction of the balancing motor.

The application provides a communication method and a communication device. The method comprises the following steps: receiving first configuration information sent by a network device, wherein the first configuration information indicates measurement parameters and multiple sets of low-power wake-up signal (LP-WUS) parameter sets; measuring a reference signal based on the measurement parameters to obtain a first signal measurement result, wherein the first signal measurement result is used to determine a first LP-WUS parameter set from the multiple sets of LP-WUS parameter sets; sending the first signal measurement result, wherein the first signal measurement result is used to determine the first LP-WUS parameter set used for sending an LP-WUS; and receiving the LP-WUS based on the first LP-WUS parameter set. The method can adapt to a dynamically changing wireless environment, so that the terminal device and the network device can interact with each other in time, and the network performance is improved.

This disclosure relates to a control method, apparatus, electronic device, and storage medium for a device. When the electronic device is running, the method acquires the input current signal of the PFC circuit within the electronic device. When the input current signal is greater than or equal to a first preset current threshold and less than a preset current protection value, the method acquires signal parameters corresponding to the input current signal. These signal parameters include a first duration or a first count. Based on these signal parameters, the method controls the electronic device. This disclosure controls the operation or shutdown of the electronic device using the signal parameters corresponding to the input current signal, avoiding the damage caused to the electronic device by directly shutting down when the input current signal reaches the preset current protection value, extending the device's lifespan, and improving the user experience.

The application discloses a line detection method, device and equipment based on direct current signal test sending and a medium, and the method comprises the following steps: obtaining the operation parameters of a to-be-detected power distribution line, and obtaining a direct current test signal parameter set of the to-be-detected power distribution line according to the operation parameters; wherein the direct current test signal parameter set comprises a target voltage value, a target current value, a pulse width and a repetition period; controlling a direct current signal source according to the direct current test signal parameter set, so as to test the direct current signal to the to-be-detected power distribution line, and collecting a line direct current response data set in the test process; performing power distribution line state analysis according to the line direct current response data set, and obtaining a line detection result; wherein the power distribution line state analysis comprises line insulation state analysis and electrical performance analysis. The application can improve the reliability of the power distribution line detection result through automatic direct current signal test sending.

The application provides a time-frequency domain combined continuous and burst signal detection method. For a piece of signal sampling data generated through collection and preprocessing, frequency domain detection and time domain detection are respectively performed on the signal sampling data in the frequency domain and the time domain, the detection of continuous and burst signals is completed, and time-frequency parameters of the signal are obtained. In the frequency domain, spectrum analysis is performed to determine the existence of signals in the bandwidth. If the signals exist, the actual bandwidth of the signals is determined after the time domain detection is completed. In the time domain, the existing signals are detected as burst signals, and the starting time and signal duration parameters of the burst signals are obtained. The application automatically detects the existing signals and time-frequency parameters by using the time-frequency domain combined detection method, without manual observation and burst signal frame selection to determine the signal parameters. The design of the monitoring equipment is simplified, the manual operation is reduced, the reliability of the engineering implementation is improved, the burst signal detection cost is low, the speed is fast, the detection precision is high, and the stability is high.

The embodiment of the application provides a parameter inversion method, device and electronic equipment, wherein the parameter inversion method comprises: performing interference suppression on a received incomplete SAR signal to obtain a non-interference signal matrix; wherein the non-interference signal matrix comprises a plurality of non-interference pulse signals with time sequence continuity, and the incomplete SAR signal represents that the SAR signal is incomplete; sequentially performing data processing on each non-interference pulse signal to obtain pulse parameters of each non-interference pulse signal; the pulse parameters at least comprise a stationary phase center position, a termination point, a pulse bandwidth, a pulse signal frequency modulation rate and a peak position; based on the pulse parameters of each non-interference pulse signal, signal parameters of the incomplete SAR signal are inverted to obtain transmission parameters of the incomplete SAR signal; the signal parameters at least comprise a pulse width, a bandwidth, a frequency modulation rate, a pulse repetition interval and a pulse repetition frequency.

A sidelink user equipment (UE) receives a group wake up signal (WUS) from a base station and decodes the group WUS based on zone identification (ID) information of the sidelink UE. A base station transmits a wake up signal to a group of sidelink user equipment (UEs) and transmits zone ID information to the group. Group wake up signal parameters are a function of the zone ID information. The base station generates a demodulation reference signal (DMRS) sequence, selects a port for the DMRS, and / or scrambles a control channel or data channel based on a zone ID of a sidelink UE. A sidelink UE compares a zone ID of the sidelink UE to a zone ID of a neighbor UE and initiates a conditional handover to another cell when the zone ID of the sidelink UE is different from the zone ID of the neighbor UE.

The invention provides a radar intra-pulse modulation signal waveform inversion method and device, and relates to the technical field of radar signal processing, and the method comprises the steps: obtaining a signal parameter; generating an intermediate frequency signal for the signal parameter according to the signal generation function, and performing short-time Fourier transform on the intermediate frequency signal to generate a time-frequency diagram; respectively calculating a time range and a frequency range based on waveform parameters of the intermediate frequency signal, and respectively normalizing the time range and the frequency range into a coordinate range of a time-frequency diagram to obtain a detection label; according to the target detection model, training the time-frequency diagram through detection labels, and carrying out positive and negative sample distribution based on a Hungary matching strategy to obtain an improved target detection model; performing unknown parameter target detection on the time-frequency graph based on an improved target detection model to obtain a detection result; and performing inversion processing on the intermediate frequency signal based on the detection result to obtain an inversion result. According to the invention, the problem that the recognition accuracy is greatly reduced is solved.

This invention discloses a method for estimating LFM pulse signal parameters under aliasing conditions, applied in the field of radar technology. Addressing the problem of aliasing in the time-frequency domain of direct-arrival wave signals from multiple external radiation sources with similar parameters, this invention utilizes fractional Fourier transform to accumulate energy in the direct-arrival wave signal. Based on the analytical expression of the peak-to-peak linear frequency modulated (LFM) pulse signal obtained after accumulation and its fractional Fourier transform, a multi-channel signal is constructed. Finally, using the constructed multi-channel signal, the LFM pulse signal is de-aliased in the fractional Fourier transform domain through blind source separation, ultimately improving the signal-to-noise ratio and separating different pulse signals with similar parameters, thereby achieving accurate parameter estimation. The process of this invention can be implemented using the fast fractional Fourier transform method, which is beneficial for engineering implementation.

The invention discloses a multi-path frequency-adjustable signal generation system based on an FPGA (Field Programmable Gate Array), and belongs to the technical field of signal generation. The system comprises an adjustable frequency signal generation module, an FPGA register read-write control module, an SPI communication module and a top layer module. The top layer module adopts a generate block statement to realize batch instantiation of a multi-path signal output module, a positioning register mechanism is introduced, and a group of register resources are used for controlling a multi-path output channel, so that the problem of register resource waste caused by repeated instantiation of the module in the traditional design is effectively solved. According to the system, remote configuration of an FPGA internal register by a CPU is achieved through an SPI communication interface, and the frequency-adjustable signal generation module supports independent adjustment of parameters such as frequency, high pulse width and low pulse width. And when the positioning register is matched with a specific output channel and the data updating flag bit is valid, the system accurately sends the characteristic parameters to the corresponding channel, so that the accuracy of each path of signal parameters is ensured. According to the method, the code redundancy and the development time are remarkably reduced, and the system maintainability is improved.

This disclosure presents a method for constructing and parsing signal event descriptors for electromagnetic environment simulation. The construction method includes: acquiring an electromagnetic scene simulation description file; extracting at least one set of group-level control parameters and at least one set of service signal parameters constrained by the group-level control parameters from the electromagnetic scene simulation description file; performing quantization encoding conversion on the group-level control parameters and service signal parameters to obtain integer parameters recognizable by the signal generation hardware device; encapsulating the integer group-level control parameters and integer service signal parameters into group header frames and member frames, respectively; sequentially combining the group header frames and member frames with control constraints to the group header frames to generate signal event descriptor groups; and sequentially sending the signal event descriptor groups, frame by frame, to the signal generation hardware device. This method achieves standardized, structured construction, and ordered transmission of signal parameters through grouped encapsulation and integer quantization encoding.

The application provides a signal semantic segmentation and parameter extraction method based on RepViT, which is suitable for communication signal monitoring, radar target identification, spectrum sensing and electronic countermeasure scenes in complex electromagnetic environments, and comprises: multi-signal-to-noise ratio signal data set construction and preprocessing, design of a signal semantic segmentation model based on RepViT, model training and optimization, signal semantic segmentation reasoning, and extraction of key signal parameters; the application realizes end-to-end, automatic and high-precision extraction from deep learning semantic segmentation masks to signal start time, duration, center frequency and bandwidth parameters, and effectively improves the intelligent level and processing efficiency of signal parameter analysis.

Techniques are discussed herein for providing multiple positioning reference signal (PRS) configurations to a user equipment (UE). An example method for measuring a positioning reference signal includes receiving positioning assistance data including a first portion of a plurality of positioning reference signal configurations and scheduling information for a second portion of the plurality of positioning reference signal configurations, selecting a first positioning reference signal configuration based on the first portion of the plurality of positioning reference signal configurations, obtaining a plurality of positioning reference signal parameters associated with the first positioning reference signal configuration based on the scheduling information, wherein the plurality of positioning reference signal parameters are included in the second portion of the plurality of positioning reference signal configurations, and measuring one or more positioning reference signals, the one or more positioning reference signals being based at least in part on the plurality of positioning reference signal parameters.

The invention discloses a hematology analyzer and a detection method for hole blockage of a flow chamber, in the hematology analyzer provided by the invention, in the process that sample liquid enters the flow chamber for sample detection, a control unit can also obtain signal parameters based on optical signals of the sample liquid flowing through the flow chamber; whether the flow chamber is blocked or not is judged, the safety of the flow chamber is improved, and the detection efficiency of an optical detection system on sample liquid is improved. Meanwhile, in the process of detecting the sample liquid, whether the flow chamber has the hole blocking problem or not can be judged, the step of judging the hole blocking of the flow chamber does not need to be additionally set, the operation efficiency of the hematology analyzer is improved, and the use experience of a user on the hematology analyzer is improved.

This application provides a device and method for processing spatial environmental noise in electronic devices. The device includes: a communication antenna for receiving communication signals and spatial environmental noise; a detection antenna for real-time detection of the spatial environmental noise; a switching network connecting the signal paths of the communication antenna and the detection antenna respectively, for switching the device's operating mode; a signal processing module connected to the signal path of the detection antenna for amplifying, attenuating, and phase-shifting the detected noise signal; a coupler whose through port is connected to the signal path of the communication antenna, its coupling port is connected to the signal path of the detection antenna, and its output is connected to a radio frequency system; and a control module for adjusting the attenuation and phase shift of the signal processing module according to the noise signal parameters received by the communication antenna and the detection antenna, so that the two noise signals are superimposed in antiphase in the coupler. This application improves the receiving performance of wireless communication devices through active detection and cancellation.

This invention discloses a method and system for determining the type and parameters of interference signals based on microwave photonics technology. The method utilizes microwave photonics technology to modulate broadband interference signals into the optical domain. By dynamically matching the LCT transform kernel function with the reference signal parameters, the LCT operation is directly performed in the analog domain, focusing the interference signal in the optimal LCT domain. Based on the time-frequency characteristics after focusing, real-time type judgment and parameter estimation of the interference signal are achieved, completely avoiding the digital domain iterative operations of existing electronic methods. The computational complexity is reduced to microseconds, and the parameter estimation delay reaches the microsecond level, without any broadband throughput bottleneck. The parameter tuning delay depends only on the control rate of the reference signal, adapting to the type identification and parameter estimation requirements of various types of broadband interference signals, such as linear frequency modulation, frequency hopping, slice combination, and intermittent sampling and forwarding. The resistance to environmental interference and stability are significantly enhanced.

The application discloses a positioning method and device based on a level fingerprint, equipment and a storage medium, relates to the technical field of communication, and comprises the following steps: starting 5G wireless measurement of a UE through a 4G base station, starting 4G wireless measurement of the UE through a 5G base station, receiving 4GMRO and 5GMRO collected by the 4G base station and the 5G base station respectively, and determining 5G outdoor wireless data under a 5G network based on the 4GMRO, 4G minimization of drive test data and the 5GMRO; dividing a region to be positioned into a plurality of grids with grid numbers according to longitude and latitude; mapping each signal parameter to each grid according to longitude and latitude information to obtain a 5G level fingerprint library. The application only needs to temporarily start the inter-system measurement function of the base station in the stage of collecting the level fingerprint library, receives the 4GMRO and the 5GMRO collected by the 4G base station and the 5G base station, does not need to start the inter-system measurement function of the base station in the stage of matching the level fingerprint library, reduces the influence on the user, the base station and OMC-R and other network equipment, and thus the load of positioning the user equipment through the 5G cellular network can be reduced.

The application relates to the technical field of radar detection, in particular to a pulse compression ultra-low sidelobe nonlinear frequency modulation waveform design method based on dimension layering and two-stage optimization, which comprises the following steps: given signal parameters, GA parameters and a coefficient vector; the coefficient vector is initialized, a global search is performed by using a GA algorithm, genetic operations are performed, and after being crossed and mutated, energy projection normalization is performed to meet an energy constant constraint; when a termination condition is met, the global search is stopped and a candidate solution set is output; on the basis of the candidate solution set, a parameter space distance threshold is introduced to perform diversity screening, K candidate solutions which are dispersed from each other and excellent in performance are extracted and are zero-padded and dimensioned to obtain K seed vectors; the seed vectors are taken as initial values, a quasi-Newton method is respectively run to perform local optimization and finishing, a coefficient vector corresponding to an initial value which makes the sidelobe energy minimum is selected as an optimal coefficient vector, and a nonlinear frequency modulation waveform with the characteristics of an ultra-low sidelobe is generated based on the optimal coefficient vector.

The invention relates to a method and system for establishing a network connection across a relay with multimodal signals. The relay includes an antenna, an outdoor unit, and an indoor unit. The method includes detecting a radio signal at the antenna, converting it to an electrical signal, and transmitting it to the outdoor unit. Signal parameters are measured at the antenna and outdoor unit to predict the signal's outdoor status. The electrical signal is converted to an optical signal, sent to the indoor unit, and converted to an electrical signal. Signal parameters are measured at the indoor unit to predict the indoor status. A recommended action for developing the network connection is identified based on the combined statuses and provided to the user.