CN114449565A - Network demodulation abnormity testing method, device and equipment - Google Patents
Network demodulation abnormity testing method, device and equipment Download PDFInfo
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The application discloses a method, a device and equipment for testing network demodulation abnormity, wherein the method comprises the following steps: the network demodulation abnormity testing method is applied to terminal equipment and comprises the following steps: when the test is abnormal, acquiring background noise scanning data of target node equipment corresponding to the abnormality; and carrying out drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image. This application belongs to ad hoc network technical field, and this application draws the scanning data of making an uproar of making a dynamic state of making an uproar of making a dynamic state of making an uproar of.
Description
Technical Field
The present application relates to the field of ad hoc network technologies, and in particular, to a method, an apparatus, and a device for testing network demodulation anomalies.
Background
In an ad hoc network scene, the problem of abnormal network demodulation often occurs during an external field test, more unstable factors causing the abnormal problem are generated, and adjacent channel interference, poor bottom noise, interference of similar equipment, system bugs and the like are possible, so that abnormal investigation needs to be performed on the network.
At present, when equipment is abnormal, a frequency spectrograph is often used for scanning to obtain the environmental noise condition, but because each node equipment in the ad hoc network is far away, the problem position is random, and the uncertainty of a space signal is high, so that the scanning by the frequency spectrograph is poor in flexibility and high in manufacturing cost, and the rapid positioning and troubleshooting cannot be realized.
Disclosure of Invention
The application mainly aims to provide a network demodulation abnormity testing method, device and equipment, and aims to solve the technical problem that abnormity in a testing process in the prior art cannot be rapidly positioned and checked.
In order to achieve the above object, the present application provides a network demodulation anomaly testing method, which is applied to a terminal device, and the network demodulation anomaly testing method includes:
when the test is abnormal, acquiring background noise scanning data of target node equipment corresponding to the abnormality;
and carrying out drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
Optionally, the step of obtaining the background noise scanning data of the target node device corresponding to the anomaly when the test anomaly occurs includes:
when the test is abnormal, acquiring identification information of target node equipment corresponding to the abnormality;
and establishing the connection between the terminal equipment and the target node equipment based on the identification information so as to acquire the background noise scanning data of the target node equipment.
Optionally, the background noise scanning data comprises a packaging format,
the step of obtaining the background noise scanning data of the target node device includes;
receiving a data event after the bottom noise scanning data is packaged according to the packaging format;
and analyzing the data event to obtain the background noise scanning data.
Optionally, the step of performing a mapping process on the bottom noise scanning data to obtain a dynamic bottom noise scanning map, so that a user may find an abnormal source according to a variation range of noise in the bottom noise scanning map includes:
and when the bottom noise scanning data meet the drawing condition, drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image.
The application also provides a network demodulation abnormity testing method, which is applied to node equipment, and the network demodulation abnormity testing method comprises the following steps:
when the transmitting communication state is closed, acquiring original background noise data of the node equipment based on a preset frequency;
performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
and packaging the bottom noise scanning data and sending the bottom noise scanning data to terminal equipment.
Optionally, the node device further includes a baseband, and the preset frequency is set according to a fixed parameter of the baseband.
Optionally, the step of encapsulating the background noise scanning data and sending the background noise scanning data to a terminal device includes:
acquiring a data capacity value of the background noise scanning data;
when the data capacity value reaches a preset capacity value, packaging the bottom noise scanning data into a data event according to a packaging format;
and sending the data event to terminal equipment, wherein the data event comprises background noise scanning data.
The application also provides a network demodulation abnormity testing device, which is applied to terminal equipment, and the network demodulation abnormity testing device comprises:
the acquisition module is used for acquiring the background noise scanning data of the target node equipment corresponding to the abnormity when the test abnormity occurs;
and the drawing module is used for drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
The application also provides a network demodulation abnormity testing device, which is applied to node equipment, and the network demodulation abnormity testing device comprises:
the acquisition module is used for acquiring original background noise data of the node equipment based on a preset frequency when the transmission communication state is closed;
the calculation module is used for performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
and the packaging module is used for packaging the bottom noise scanning data and sending the bottom noise scanning data to the terminal equipment.
The present application further provides a network demodulation anomaly testing device, which includes: a memory, a processor and a program stored on the memory for implementing the network demodulation exception test method applied to the terminal device,
the memory is used for storing a program for realizing the network demodulation abnormity testing method applied to the terminal equipment;
the processor is configured to execute a program for implementing the network demodulation abnormity testing method applied to the terminal device, so as to implement the steps of the network demodulation abnormity testing method applied to the terminal device.
The present application further provides a network demodulation anomaly testing device, which includes: a memory, a processor, and a program stored on the memory for implementing the network demodulation exception testing method applied to a node device,
the memory is used for storing a program for realizing the network demodulation abnormity testing method applied to the node equipment;
the processor is configured to execute a program for implementing the network demodulation exception test method applied to the node device, so as to implement the steps of the network demodulation exception test method applied to the node device.
The embodiment of the present application provides a storage medium, and the storage medium stores one or more programs, and the one or more programs are further executable by one or more processors for implementing any of the steps of the network demodulation anomaly testing method applied to the terminal device.
The embodiment of the present application provides a storage medium, and the storage medium stores one or more programs, and the one or more programs are further executable by one or more processors for implementing any of the steps of the network demodulation anomaly testing method applied to a node device.
Compared with the prior art that an abnormal source in the network demodulation abnormal test process cannot be rapidly positioned and checked, the method, the device and the equipment for testing the network demodulation abnormality provided by the application acquire the background noise scanning data of the target node equipment corresponding to the abnormality when the test abnormality occurs; the method comprises the steps of carrying out drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image, and enabling a user to find an abnormal source according to the variation range of noise points in the bottom noise scanning image, namely determining target node equipment according to the abnormal conditions, and obtaining the bottom noise scanning data collected based on the target node equipment, wherein the bottom noise scanning data comprises information data of background noise of the target node equipment, drawing the bottom noise scanning data to obtain a static bottom noise scanning image, and the static bottom noise scanning image is changed and updated along with the real-time and continuous obtaining of the bottom noise scanning data, so that the dynamic bottom noise scanning image is obtained, and the abnormal source which causes test abnormity is visually and accurately found according to the variation range of the noise points in the bottom noise scanning image.
Drawings
FIG. 1 is a schematic diagram of an apparatus architecture of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flowchart illustrating a first embodiment of a network demodulation anomaly testing method according to the present application;
fig. 3 is a flowchart illustrating a second embodiment of the network demodulation anomaly testing method according to the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present application.
The terminal in the embodiment of the application may be a PC, or may be a mobile terminal device having a display function, such as a smart phone, a tablet computer, an e-book reader, an MP3 (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4 (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 3) player, a portable computer, or the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a network operation control application program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be used to invoke a network operation control application stored in the memory 1005.
Referring to fig. 2, an embodiment of the present application provides a network demodulation anomaly testing method, which is applied to a terminal device, and the network demodulation anomaly testing method includes:
step S100, when the test is abnormal, acquiring background noise scanning data of target node equipment corresponding to the abnormality;
and step S200, drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image, so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
The method comprises the following specific steps:
step S100, when the test is abnormal, acquiring background noise scanning data of target node equipment corresponding to the abnormality;
in this embodiment, it should be noted that the network demodulation anomaly testing method may be applied to a terminal device, where the terminal device belongs to a network demodulation anomaly testing system, and the network demodulation anomaly testing system belongs to a network demodulation anomaly testing device.
In this embodiment, the specific application scenarios may be:
in an ad hoc network scene, the problem of abnormal network demodulation often occurs during an external field test, more unstable factors causing the abnormal problem are generated, and adjacent channel interference, poor bottom noise, interference of similar equipment, system bugs and the like are possible, so that abnormal investigation needs to be performed on the network.
At present, when equipment is abnormal, a frequency spectrograph is often used for scanning to obtain the environmental noise condition, but because each node equipment in the ad hoc network is far away, the problem position is random, and the uncertainty of a space signal is high, so that the scanning by the frequency spectrograph is poor in flexibility and high in manufacturing cost, and the rapid positioning and troubleshooting cannot be realized.
In the application, for a network demodulation anomaly test system, the terminal device determines a target node device according to an abnormal condition occurring in a test process, and acquires ground noise scanning data acquired based on the target node device, wherein the ground noise scanning data includes information data of background noise of the target node device, and the ground noise scanning data is plotted to obtain a static ground noise scanning map, and the static ground noise scanning map is changed and updated along with real-time and continuous acquisition of the ground noise scanning data, so that a dynamic ground noise scanning map is obtained. And according to the variation range of the noise point in the bottom noise scanning image, intuitively and accurately checking an abnormal source causing test abnormity.
That is, in the application, when a test abnormality occurs, the other background noise scanning data of the target node with the abnormality is acquired in time so as to rapidly troubleshoot an abnormality source, and the abnormality troubleshooting efficiency is improved.
In this embodiment, the network demodulation anomaly testing method is applied to a wireless ad hoc network scene, the wireless ad hoc network is a portable communication mode, a set of decentralized network environment can be quickly established in an environment without any network, and the method does not depend on conventional infrastructure such as a machine room network. In both the visible and non-visible range situations, the ad hoc network system can simply carry out networking and transmit the front-end language, video and data. It should be noted that each node device of the wireless ad hoc network device may form an acentric same-frequency network.
In this embodiment, the terminal device may be a portable mobile device such as a mobile phone, a tablet, a computer, and the like, and the terminal device may be dynamically accessed wirelessly and may be used as an application terminal to implement a user interaction function, which is not specifically limited in this embodiment.
In this embodiment, when an ad hoc network is in an actual use process or a function debugging process and has an abnormality such as a decoding error code, it is necessary to quickly scan the background noise condition of the wireless point wave for the environment, and quickly analyze and locate the problem. It should be noted that the reason causing the abnormal condition may be that the receiving end of the node device is abnormal, and may also be caused by interference generated by other devices, so when the abnormal source is checked, the transmitting function of the target node device having the abnormal condition and the node device communicating with the target node device to transmit data is turned off, so that the test system is only in the receiving state, the environmental noise of the target node device is intercepted, the bottom noise scanning data is obtained according to the data of the tested radio wave signal strength, and the terminal device obtains the bottom noise scanning data, and can check the abnormal source.
For example, if abnormal noise occurs in the base noise scanning map obtained by the network demodulation abnormality testing method, it is determined that the cause of the ad hoc network communication abnormality is caused by interference of other devices.
If the variation range of each noise point in the bottom noise scanning graph obtained by the network demodulation anomaly testing method is relatively stable, no interference is generated at the moment, the node equipment is determined to be abnormal, namely the ad hoc network is abnormal, and the ad hoc network can be further checked.
Further, the step of acquiring the background noise scanning data of the target node device corresponding to the abnormality when the test abnormality occurs includes:
step S110, when the test is abnormal, acquiring the identification information of the target node equipment corresponding to the abnormality;
step S120, establishing a connection between the terminal device and the target node device based on the identification information, so as to obtain the background noise scanning data of the target node device.
In this embodiment, when an anomaly is found in the test process, the background noise scanning function may be triggered by accessing a web page of the node device. Specifically, when a test abnormality occurs, identification information of a target node device in which the abnormality occurs is obtained, where the identification information refers to an identification identifier of the target node device, such as an IP address, IP information, an IP route, an IP protocol, and an authority password. The method comprises the steps that identification information of target node equipment is accessed, a web page of the target node equipment is entered, connection between terminal equipment and the target node equipment is established, a background noise scanning function is triggered, the target node equipment starts to scan environmental noise of the target node equipment, background noise scanning data are obtained, the terminal equipment obtains the background noise scanning data through connection between the terminal equipment and the target node equipment, and an abnormal source of abnormal conditions is checked through the background noise scanning data in the follow-up process.
The background noise scanning function consists of three parts, namely a front-end page program of the terminal equipment, such as html + js of a webpage and the like; an embedded web server running on the mesh device; the mesh device itself. The mesh device refers to each node device in the ad hoc network.
Integrally, the terminal device may further include an application program, such as a browser, and when a test abnormality occurs, the application program obtains identification information of the target node device input in a web page of the terminal device, where the identification information is input by a user opening the web page of the browser of the terminal device, and the network demodulation abnormality test system opens the web page of the target node device according to the identification information, so that a server of the target node device runs the test application program, triggers a bottom noise scanning function, and listens and scans background noise of the target node device to obtain bottom noise scanning data.
Further, the step of obtaining the background noise scanning data of the target node device includes;
step A1, receiving a data event after the encapsulation of the ground noise scanning data according to the encapsulation format;
and A2, analyzing the data event to obtain the background noise scanning data.
In this embodiment, due to the characteristic of data transmission between the terminal device and the target node device, the bottom noise scanning data obtained by the terminal device includes a package format, that is, the terminal device receives a data event that the bottom noise scanning data is packaged by the target node device based on a certain package format, and therefore, after receiving the data event, the terminal device needs to analyze the data event to obtain the bottom noise scanning data.
It should be noted that the encapsulation format may be a json format, and when a js page of the terminal device receives a data event, the json format data event is analyzed to obtain the bottom noise scanning data.
And step S200, drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image, so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
In this embodiment, the obtained bottom noise scanning data is subjected to drawing processing, a single scanning data is drawn into a continuously distributed bottom noise scanning map, the bottom noise scanning map is presented on a page of the terminal device, so that a user or a manager can visually check the variation range of the bottom noise point according to the bottom noise scanning map, and an abnormal source is checked through the variation range of the noise point, wherein the state of the variation range of the noise point or the sample point in the bottom noise scanning map may be:
in state one, if the value at the mth noise point in the bottom noise scan is significantly higher than other noise points, then there is a larger interference signal at the mth sample point, which will affect normal communications. And (4) according to the found interference signal, checking an interference source or replacing a frequency point to avoid interference.
In the second state, the bottom noise value of each noise point in the bottom noise scanning diagram tends to be stable and small, and no signal exists at the moment. Determining that the target node equipment or the ad hoc network has abnormity, and further checking the reason.
It should be noted that, in the process of drawing the background scan data, a scatter plot library of ECharts (ECharts is a JavaScript-based data visualization chart library, and provides an intuitive, vivid, interactive, and personalizable data visualization chart) is used for drawing, where the drawing tool is not limited to ECharts, and may be other related charts libraries.
In the embodiment, the abnormal source to be investigated is caused by interference information or the self-networking abnormality through the variation range of the noise value of each noise point or sample point in the bottom noise scanning graph, so that the abnormal source can be quickly analyzed and positioned, and the efficiency of investigating the network demodulation abnormality is improved.
Further, the step of performing drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning map, so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning map includes:
and step B1, when the bottom noise scanning data meets the drawing condition, drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image.
In this embodiment, a display data size or a data window size may be specified for the drawn noise floor scan, that is, a drawing condition for drawing is set, where the drawing condition is that a currently cached data amount satisfies the specified display data size or data window size. The drawing condition can be set according to the use requirement of a user or a manager, the larger the value of the display data size is, the larger the data volume for drawing the background noise scanogram is, the stronger the adaptability of the obtained scanogram result is, and the higher the accuracy rate is; the smaller the value of the display data size is, the faster the drawing processing process is, and the scanning map of the bottom noise can be obtained quickly for analyzing and checking an abnormal source.
It can be understood that, if the data window size is 20000 parts of data, the plotted bottom noise scan graph is formed by plotting 20000 parts of data, and the obtained bottom noise scan graph represents the noise value variation amplitude of 20000 parts of bottom noise data. When the received or obtained bottom noise scanning data is 10000 parts, the terminal device caches the 10000 parts of data first, and continues to receive the bottom noise scanning data sent by the target node device until the data reaches the same volume as the set display data, that is, when the data reaches 20000 parts, the 20000 parts of data are subjected to drawing processing, so as to obtain a pair of bottom noise scanning graphs. And finally, presenting a dynamic background noise scanning image on the webpage of the terminal equipment along with the real-time updating and filling of the background noise scanning data.
It should be noted that, when the acquired bottom noise data is calculated and packaged with time, the size of the display data may also be a time value, and it can be understood that, if the bottom noise data is acquired in a unit of 2s of time, the size of the display data may be 10s, that is, the terminal device receives the bottom noise scanning data, caches the data of 10s, and performs drawing processing on the data of 10s to obtain a bottom noise scanning map. And finally, presenting a dynamic background noise scanning image on the webpage of the terminal equipment along with the real-time updating and filling of the background noise scanning data.
In this embodiment, a drawing condition with a certain display data size is set, and drawing processing is started when current data meets the drawing condition, so that a dynamic background noise scanning image is finally presented on a webpage of a terminal device along with real-time updating and filling of background noise scanning data, so that a user or a manager can analyze and troubleshoot an abnormal source according to the background noise scanning image.
Further, after the step of performing drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning map for a user to find an abnormal source according to the variation range of noise points in the bottom noise scanning map, the method includes:
the method comprises the steps of obtaining information of closing a webpage of a terminal device, closing the webpage corresponding to the information to quit a scanning state, and reentering a normal ad hoc network working process, namely, opening a transmitting state of a test system to enable an ad hoc network to be in a normal transmitting and receiving state, and carrying out normal communication and data transmission.
Compared with the prior art that an abnormal source in the network demodulation abnormal test process cannot be rapidly positioned and checked, the method, the device and the equipment for testing the network demodulation abnormality provided by the application acquire the background noise scanning data of the target node equipment corresponding to the abnormality when the test abnormality occurs; the method comprises the steps of carrying out drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image, and enabling a user to check abnormal sources according to the variation range of noise points in the bottom noise scanning image, namely determining target node equipment according to abnormal conditions, and obtaining the bottom noise scanning data collected based on the target node equipment, wherein the bottom noise scanning data comprise information data of background noise of the target node equipment, drawing the bottom noise scanning data to obtain a static bottom noise scanning image, and the static bottom noise scanning image is changed and updated along with the real-time and continuous acquisition of the bottom noise scanning data to obtain the dynamic bottom noise scanning image.
Based on the first embodiment, the present application further provides another embodiment, in which, referring to fig. 3, the method is applied to a node device, and the method for testing network demodulation abnormality includes:
step C100, when the transmitting communication state is closed, acquiring original background noise data of the node equipment based on a preset frequency;
step C200, performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
and step C300, packaging the bottom noise scanning data and sending the bottom noise scanning data to the terminal equipment.
In this embodiment, the node device refers to a device of each node in an ad hoc network, where the ad hoc network is a network combining mobile communication and a computer network, a packet switching mechanism in the computer network is used for information exchange of the network, a user terminal is a portable terminal that can be moved, and each user terminal in the ad hoc network has two functions of a router and a host. The target node device refers to a node device with an abnormal condition in the test process, and the target node device comprises an embedded web server running on the node device and an application program of the node device.
In this embodiment, after triggering the bottom noise scanning function, the target node device collects the environmental noise to obtain bottom noise scanning data, and encapsulates the bottom noise scanning data and then sends the encapsulated bottom noise scanning data to the terminal device, so that the terminal device can analyze and locate the abnormal source based on the bottom noise scanning data. The target node equipment can be connected with the terminal equipment in a wired or wireless mode, and the background noise scanning data is transmitted to the terminal equipment through a software protocol so that the terminal equipment can visually obtain the background noise information of the current frequency point based on the background noise scanning data, and therefore problems can be quickly located or processed.
The method comprises the following specific steps:
step C100, when the transmitting communication state is closed, acquiring original background noise data of the node equipment based on a preset frequency;
in this embodiment, when the target node device collects and scans the background noise, the network demodulation anomaly testing system closes the transmission communication state, so that the system is only in the receiving state, and collects the original bottom noise data of the target node device, that is, the bottom noise information of the current frequency point, based on the preset frequency.
In the network demodulation anomaly testing method, the preset frequency is determined according to the physical characteristics and fixed parameters of the system baseband of the target node device. It can be understood that, if the preset frequency is 10ms, the application program of the target node device calculates digital power according to the minimum time (10 ms) reported by the baseband, where the digital power refers to the radio wave signal strength of the current frequency point, and the greater the signal strength, the greater the working environment, and the greater the background noise.
Step C200, performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
in this embodiment, the gain calculation is performed on the original noise floor data acquired by the target node device, where the gain calculation is implemented by performing link gain on the original noise floor data to obtain the noise floor scanning data, and a specific gain calculation algorithm is related to the baseband interface, which is not specifically limited herein.
And step C300, packaging the bottom noise scanning data and sending the bottom noise scanning data to the terminal equipment.
In this embodiment, the bottom noise scanning data is encapsulated into a json format message, that is, a data event, and the data event is sent to the terminal device through the websocket interface, so that the terminal device can present the data event on a js page.
The step of packaging the background noise scanning data and sending the background noise scanning data to the terminal device includes:
step C310, acquiring a data capacity value of the background noise scanning data;
step C320, when the data capacity value reaches a preset capacity value, packaging the bottom noise scanning data into a data event according to a packaging format;
and step C330, sending the data event to terminal equipment, wherein the data event comprises background noise scanning data.
In this embodiment, the target node device application may cache data, and may cache background scanning data with a capacity corresponding to a preset capacity value. It can be understood that, when data is cached, the data capacity of the bottom noise scanning data cached every time is obtained, when the data capacity reaches a preset capacity value, the data cache is full, the bottom noise scanning data corresponding to the preset capacity value can be packaged to obtain a data event, and the data event is sent to the terminal device through the websocket interface. The encapsulation processing procedure encapsulates the current data into a json format message.
For example, when the preset volume value is 4000 parts and the data volume value of data acquired in a single time is 1000 parts, the data needs to be cached four times, so that the currently cached data reaches 4000 parts, the data cache is full, and the current data is encapsulated into a json format message.
It should be noted that the preset volume value may also be a time value, for example, the minimum time interval of data acquisition for a single time is 0.5s, if the preset volume value is 2s data buffered, after four times of buffering, 2s data can be obtained, that is, 2s data is refreshed once, so that the bottom noise scanning data corresponding to the volume to be encapsulated can be obtained, and then the bottom noise scanning data is encapsulated to obtain a data event, which is sent to the terminal device to implement the drawing of the bottom noise scanning map.
In this embodiment, after the step of encapsulating the noise floor scan data and sending the noise floor scan data to the terminal device, the method includes:
and monitoring the event state of the websocket interface, and after monitoring the close event of the moral websocket interface, the target node equipment exits the scanning state and reenters the normal ad hoc network working process, the transmitting and receiving states are normal, and normal communication and data transmission can be carried out.
In this embodiment, when the transmission communication state is off, based on a preset frequency, acquiring original noise floor data of the node device; performing gain calculation on the original bottom noise data to obtain bottom noise scanning data; the background noise scanning data are packaged and sent to the terminal equipment, and by the mode, when the test is abnormal, the environmental noise of the target node equipment is scanned through the background noise scanning function, so that real-time background noise scanning data are obtained, the terminal equipment can analyze and locate the abnormal source in time based on the background noise scanning data, and the efficiency and accuracy of acquiring the background noise data are improved.
It should be noted that the network demodulation anomaly testing method in this embodiment may be applied to a network demodulation anomaly testing system, where the network demodulation anomaly testing system includes a terminal device and a node device, and a process of the network demodulation anomaly testing system for testing network demodulation anomalies may be:
when the test is abnormal and the background noise scanning function of the target node equipment is triggered, the target node equipment firstly collects original background noise data of the node equipment based on a preset frequency; then, the target node equipment performs gain calculation on the original bottom noise data to obtain bottom noise scanning data; and after the bottom noise scanning data is obtained, packaging the bottom noise scanning data by the target node equipment, and sending the bottom noise scanning data to the terminal equipment. The node equipment further comprises a baseband, and the preset frequency is set according to the fixed parameters of the baseband. The method comprises the steps that when node equipment is specifically implemented in the network demodulation abnormity testing process, background noise scanning data are cached and packaged, specifically, in the step that target node equipment packages the background noise scanning data and sends the background noise scanning data to terminal equipment, the target node equipment obtains a data capacity value of the background noise scanning data; when the data capacity value reaches a preset capacity value, packaging the bottom noise scanning data into a data event according to a packaging format; and the target node equipment sends the data event to the terminal equipment, wherein the data event comprises the background noise scanning data.
The network demodulation abnormity test is characterized in that after the node equipment specifically realizes the acquisition of the bottom noise scanning data, the analysis and the processing of the bottom noise scanning data are also specifically realized at the terminal equipment, and the following implementation scheme is specifically adopted:
when the terminal equipment is abnormal in test, acquiring background noise scanning data of target node equipment corresponding to the abnormality; after acquiring the bottom noise scanning data, the terminal equipment performs drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image, so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image. In the implementation process of obtaining the background noise scanning data, establishing connection between the terminal device and the target node device for transmitting the background noise scanning data, specifically, when the test is abnormal, the terminal device obtains identification information of the target node device corresponding to the abnormality; and establishing the connection between the terminal equipment and the target node equipment based on the identification information so as to acquire the background noise scanning data of the target node equipment. The method comprises the steps that the bottom noise scanning data comprise a packaging format, so that when the terminal equipment obtains the bottom noise scanning data of the node equipment in a concrete implementation mode, the terminal equipment receives a data event which is obtained by packaging the bottom noise scanning data according to the packaging format; and analyzing the data event to obtain the bottom noise scanning data. And when the bottom noise scanning data meet the drawing conditions, the terminal equipment performs drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image, and the bottom noise scanning image is displayed on a webpage of the terminal equipment so that a user or a manager can visually analyze and investigate an abnormal source through the bottom noise scanning image.
The specific implementation of the network demodulation anomaly testing system of the present application is basically the same as the embodiments of the network demodulation anomaly testing method described above, and is not described herein again.
The present application further provides a network demodulation anomaly testing device, which includes: a memory, a processor and a program stored on the memory for implementing the network demodulation exception test method applied to the terminal device,
the memory is used for storing a program for realizing the network demodulation abnormity testing method applied to the terminal equipment;
the processor is configured to execute a program for implementing the network demodulation abnormity testing method applied to the terminal device, so as to implement the steps of the network demodulation abnormity testing method applied to the terminal device.
The specific implementation of the network demodulation abnormality testing device applied to the terminal device in the present application is basically the same as that of the above-mentioned network demodulation abnormality testing method applied to the terminal device, and is not described herein again.
The present application further provides a network demodulation anomaly testing device, which includes: a memory, a processor, and a program stored on the memory for implementing the network demodulation exception testing method applied to a node device,
the memory is used for storing a program for realizing the network demodulation abnormity testing method applied to the node equipment;
the processor is configured to execute a program for implementing the network demodulation exception test method applied to the node device, so as to implement the steps of the network demodulation exception test method applied to the node device.
The specific implementation of the network demodulation anomaly testing device applied to the node device in the present application is basically the same as the above-mentioned embodiments of the network demodulation anomaly testing method applied to the node device, and is not described herein again.
The application also provides a network demodulation abnormity testing device, which is applied to terminal equipment, and the network demodulation abnormity testing device comprises:
the acquisition module is used for acquiring the background noise scanning data of the target node equipment corresponding to the abnormity when the test abnormity occurs;
and the drawing module is used for drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
The specific implementation of the network demodulation anomaly testing device of the present application is substantially the same as the embodiments of the network demodulation anomaly testing method applied to the terminal device, and is not described herein again.
The application also provides a network demodulation abnormity testing device, which is applied to node equipment, and the network demodulation abnormity testing device comprises:
the acquisition module is used for acquiring original background noise data of the node equipment based on a preset frequency when the transmission communication state is closed;
the calculation module is used for performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
and the packaging module is used for packaging the bottom noise scanning data and sending the bottom noise scanning data to the terminal equipment.
The specific implementation of the network demodulation anomaly testing device of the present application is basically the same as that of the above-mentioned embodiments applied to the network demodulation anomaly testing method of the node device, and is not described herein again.
The embodiment of the present application provides a storage medium, and the storage medium stores one or more programs, and the one or more programs are further executable by one or more processors for implementing any of the steps of the network demodulation anomaly testing method applied to the terminal device.
The specific implementation of the storage medium of the present application is substantially the same as the embodiments of the network demodulation anomaly testing method applied to the terminal device, and is not described herein again.
The embodiment of the present application provides a storage medium, and the storage medium stores one or more programs, and the one or more programs are further executable by one or more processors for implementing any of the steps of the network demodulation anomaly testing method applied to a node device.
The specific implementation of the storage medium of the present application is substantially the same as the embodiments of the network demodulation anomaly testing method applied to the node device, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all the equivalent structures or equivalent processes that can be directly or indirectly applied to other related technical fields by using the contents of the specification and the drawings of the present application are also included in the scope of the present application.
Claims (9)
1. A network demodulation abnormity testing method is applied to terminal equipment and comprises the following steps:
when the test is abnormal, acquiring background noise scanning data of target node equipment corresponding to the abnormality;
and carrying out drawing processing on the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
2. The method for testing network demodulation abnormality according to claim 1, wherein the step of acquiring the noise floor scan data of the target node device corresponding to the abnormality when the test abnormality occurs includes:
when the test is abnormal, acquiring identification information of target node equipment corresponding to the abnormality;
and establishing the connection between the terminal equipment and the target node equipment based on the identification information so as to acquire the background noise scanning data of the target node equipment.
3. The method for testing network demodulation abnormality according to claim 2, wherein said noise floor scan data includes a package format,
the step of obtaining the background noise scanning data of the target node device includes;
receiving a data event after the bottom noise scanning data is packaged according to the packaging format;
and analyzing the data event to obtain the background noise scanning data.
4. The method according to claim 1, wherein the step of performing a mapping process on the noise floor scan data to obtain a dynamic noise floor scan for a user to find an abnormal source according to a variation range of noise in the noise floor scan comprises:
and when the bottom noise scanning data meet the drawing condition, drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image.
5. A network demodulation abnormity test method is applied to node equipment and comprises the following steps:
when the transmitting communication state is closed, acquiring original background noise data of the node equipment based on a preset frequency;
performing gain calculation on the original bottom noise data to obtain bottom noise scanning data;
and packaging the bottom noise scanning data and sending the bottom noise scanning data to terminal equipment.
6. The method according to claim 5, wherein the node device further comprises a baseband, and the preset frequency is set according to a fixed parameter of the baseband.
7. The method for testing network demodulation abnormality according to claim 5, wherein said step of encapsulating said noise floor scan data and transmitting said noise floor scan data to a terminal device includes:
acquiring a data capacity value of the background noise scanning data;
when the data capacity value reaches a preset capacity value, packaging the bottom noise scanning data into a data event according to a packaging format;
and sending the data event to terminal equipment, wherein the data event comprises background noise scanning data.
8. A network demodulation abnormality test apparatus, characterized in that the network demodulation abnormality test apparatus comprises:
the acquisition module is used for acquiring the background noise scanning data of the target node equipment corresponding to the abnormity when the test abnormity occurs;
and the drawing module is used for drawing the bottom noise scanning data to obtain a dynamic bottom noise scanning image so that a user can check an abnormal source according to the variation range of noise points in the bottom noise scanning image.
9. A network demodulation abnormality test apparatus, characterized in that the network demodulation abnormality test apparatus comprises: a memory, a processor, and a network demodulation exception test program stored on the memory and executable on the processor, the network demodulation exception test program configured to implement the steps of the network demodulation exception test method of any one of claims 1 to 4, or the network demodulation exception test program configured to implement the steps of the network demodulation exception test method of any one of claims 5 to 7.
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