A method, system, terminal and storage medium for remotely measuring network environment

Abstract

The present invention relates to a method, system, terminal and storage medium for remotely measuring a network environment, and relates to the field of network equipment, which includes: controlling a preset network device to send a preset test data packet; controlling a preset measuring device to obtain an actual data packet; analyzing network environment parameters from a preset network environment analysis model according to the test data packet and the actual data packet; when the network environment parameters fall into a preset interference interval, obtaining an environmental image around the network device; judging whether there is an interference feature around the network device from a preset interference feature judgment model according to the environmental image; when there is an interference feature around the network device, matching the interference position and the interference source strength value from a preset interference identification model based on the interference feature; controlling the preset measuring device to send information to a preset receiving device. The present application has the effect of improving the accuracy of network environment measurement and reducing the interference of the outside world to the network environment.

Description

Technical Field

[0001] The present invention relates to the field of network equipment, and in particular to a method, system, terminal and storage medium for remotely measuring a network environment. Background Art

[0002] The network environment refers to the indicators used to measure the network's availability, transmission rate, reliability, latency and other performance in network communications.

[0003] In the existing technology, the network environment is generally measured from aspects such as network bandwidth, delay, jitter and packet loss rate. The installation and maintenance of NB-IoT terminal equipment require understanding of the on-site network environment. Generally, staff use dongle to measure the on-site network environment. The dongle connects to the network device through the port to obtain network environment parameters. The staff then measures the quality of the network environment through the network environment parameters.

[0004] When there are interferences such as high-power devices around the network equipment, the network environment is easily disturbed, resulting in the inability to obtain accurate network environment parameters. Summary of the invention

[0005] In order to improve the accuracy of network environment measurement and reduce external interference to the network environment, the present invention provides a method, system, terminal and storage medium for remotely measuring the network environment.

[0006] In a first aspect, the present invention provides a method for remotely measuring a network environment, which adopts the following technical solution:

[0007] A method for remotely measuring a network environment, comprising:

[0008] Controlling a preset network device to send a preset test data packet;

[0009] Controlling a preset measuring device to obtain actual data packets;

[0010] Analyze network environment parameters from a preset network environment analysis model based on test data packets and actual data packets;

[0011] When the network environment parameter falls into a preset interference range, acquiring an environment image around the network device;

[0012] Judging whether there are interference features around the network device from a preset interference feature judgment model according to the environment image;

[0013] When there are interference features around the network device, the interference location and interference source strength value are matched from a preset interference identification model based on the interference features;

[0014] The preset measuring device is controlled to send the network environment parameters, interference location and interference source strength to the preset receiving device.

[0015] By adopting the above technical solution, the quality of the network environment is judged by comparing the actual data packet received by the measuring device with the test data packet sent by the network device, and the network environment parameters are sent to the receiving device through the measuring device, so that the network environment can be remotely detected, and when there are interferers that interfere with the network environment, the location of the interferer and the strength of the interference source are sent to the receiving device to facilitate the staff to deal with the interferer in time.

[0016] Optionally, an interference shielding method is also included, and the interference shielding method includes:

[0017] When there are interference features around the network device, obtaining a measurement position of the measurement device and a transmission position of the network device;

[0018] Matching a measurement route from a preset measurement route matching model according to the measurement position and the sending position;

[0019] According to the interference source strength, interference location and measurement route, the interference strength value of the interference feature on the measurement route is matched from a preset interference strength recognition model;

[0020] When the interference intensity value falls into the preset shielding interval, the shielding direction is matched from the preset shielding direction matching model according to the interference position and the measurement route;

[0021] Matching the shielding plate number from a preset shielding plate number matching model according to the shielding direction;

[0022] The preset shielding plate is controlled to rise according to the shielding plate number to reduce the interference of the interference feature to the network device.

[0023] By adopting the above technical solution, a shielding plate is added between the interference feature and the network device to reduce the impact of the interference feature on the network device, thereby reducing the situation where the interference feature affects the network environment and causes the network parameters to decrease, thereby improving the accuracy of network environment measurement.

[0024] Optionally, the interference shielding method further includes:

[0025] When there are interference features around the network device, an interference area is matched from a preset interference area matching model based on the interference features and the interference source strength value;

[0026] Matching the shielding plate position and shielding plate direction from a preset shielding plate database according to the shielding plate number;

[0027] Matching the shielding plate height from a preset shielding plate height matching model according to the interference area, the shielding plate position and the shielding plate direction;

[0028] According to the shielding plate number, the preset shielding plate is controlled to rise according to the shielding plate height to reduce the interference of the interference characteristics to the network device.

[0029] By adopting the above technical solution, the height of the shielding plate is controlled according to the range of the interference area, so as to reduce the interference characteristics affecting the network environment through the shielding plate, while reducing the impact of the shielding plate on the surrounding environment.

[0030] Optionally, a data packet receiving method is also included, and the data packet receiving method includes:

[0031] When the interference intensity value exceeds the preset shielding interval, the extension direction is matched from the preset extension direction matching model according to the measurement position, the measurement route and the interference area;

[0032] Matching the extension length from a preset extension length matching model according to the extension direction, the measurement route and the interference area, and obtaining the actual direction and actual length of the signal receiving device preset on the measuring device;

[0033] Matching the extension stroke from a preset extension stroke matching model according to the actual direction, the actual length, the extension direction and the extension length;

[0034] The direction and length of the signal receiving device preset on the measuring device are controlled according to the extension stroke.

[0035] By adopting the above technical solution, the position where the measuring device receives the test data packet sent by the network device is changed through the signal receiving device, thereby reducing the situation where the interference area directly interferes with the measurement route and causes low network environment parameters, thereby improving the accuracy of network environment measurement.

[0036] Optionally, the data packet receiving method further includes:

[0037] When the signal receiving device is extended, acquiring an extended image of the signal receiving device;

[0038] Identify whether the signal receiving device is bent from a preset bending recognition model according to the extended image;

[0039] When the signal receiving device is bent, the bending position is identified from a preset bending position identification model according to the extension image;

[0040] Matching the recovery length from a preset recovery length matching model according to the bending position;

[0041] When the measuring device receives the completion signal, the preset signal receiving device is controlled to retract according to the recovery length.

[0042] By adopting the above technical solution, when the signal receiving device is extended, the signal receiving device is easily bent by external force. At this time, when the signal receiving device is retracted, the bent part is easily damaged secondary, thereby causing damage to the signal receiving device. By identifying the retractable length of the signal receiving device, the damage to the signal receiving device during retraction is reduced.

[0043] Optionally, it further includes a signal sending method, wherein the signal sending method includes:

[0044] When there are interference features around the network device, obtaining a receiving position of the receiving device;

[0045] Matching a sending route from a preset sending route matching model according to the measurement position and the receiving position;

[0046] According to the interference source strength, interference location and transmission route, the disturbance intensity value of the interference feature on the transmission route is matched from the preset interference intensity recognition model;

[0047] When the disturbance intensity value exceeds the preset disturbance interval, the transmission power is matched from the preset transmission power matching model according to the disturbance intensity value;

[0048] The preset measuring device is controlled according to the transmission power to send the network environment parameters, interference location and interference source strength to the preset receiving device.

[0049] By adopting the above technical solution, when the interference characteristics have a large degree of interference on the measurement route, it is easy to cause the receiving device to receive erroneous information or even be unable to receive information. By enhancing the power of the signal emitted by the measuring device to increase the signal transmission range, the accuracy and timeliness of the information received by the receiving device are improved.

[0050] Optionally, the signal sending method further includes:

[0051] Get the current time;

[0052] When the disturbance intensity value does not exceed the preset disturbance interval, the current time is defined as the reference time;

[0053] Based on the situation that the disturbance intensity value exceeds the preset disturbance interval, matching the standby time from the preset standby time matching model according to the current time and the reference time;

[0054] When the standby time exceeds the preset time interval or the disturbance intensity value does not exceed the preset disturbance interval, the preset measuring device controls the network environment parameters, interference location and interference source intensity to the preset receiving device according to the transmission power, and defines the current time as the reference time.

[0055] By adopting the above technical solution, when the interference characteristics have a large degree of interference on the measurement route, the measuring device is first controlled to standby and not send information. When the interference degree becomes smaller or the standby time of the measuring device is too long, the measuring device is controlled to send information, thereby improving the accuracy and timeliness of the information received by the receiving device.

[0056] In a second aspect, the present application provides a remote network environment measurement system, which adopts the following technical solutions:

[0057] A remote network environment measurement system, comprising:

[0058] An acquisition module is used to acquire an environment image, a measurement position, a sending position, an actual direction, an actual length, an extended image, a receiving position and a current time;

[0059] A memory for storing a program of any one of the control methods of the remote measurement network environment method;

[0060] The program in the memory can be loaded and executed by the processor to implement any one of the control methods of the remote measurement network environment method.

[0061] In a third aspect, the present application provides a computer storage medium capable of storing a corresponding program, which is convenient for implementing a method for remotely measuring a network environment, and adopts the following technical solution:

[0062] A computer-readable storage medium, characterized in that it stores a computer program that can be loaded by a processor and execute any method for remotely measuring a network environment.

[0063] In a fourth aspect, the present application provides an intelligent terminal, which adopts the following technical solution:

[0064] An intelligent terminal comprises a memory and a processor. The memory stores a computer program which can be loaded by the processor and execute any method for remotely measuring a network environment.

[0065] By adopting the above technical solution, the network environment parameters are sent to the receiving device through the measuring device, so that the network environment can be remotely detected, and when there are interference objects that interfere with the network environment, the location of the interference object and the strength of the interference source are sent to the receiving device to facilitate the staff to deal with the interference object in time.

[0066] In summary, the present application includes at least one of the following beneficial technical effects:

[0067] 1. The network environment parameters are sent to the receiving device through the measuring device, so that the network environment can be remotely detected, and when there are interference objects that interfere with the network environment, the location and interference source strength of the interference objects are sent to the receiving device to facilitate the staff to deal with the interference objects in a timely manner;

[0068] 2. Add a shielding plate between the interference feature and the network device to reduce the impact of the interference feature on the network device, thereby reducing the situation where the interference feature affects the network environment and causes the network parameters to decrease, thereby improving the accuracy of network environment measurement;

[0069] 3. Control the height of the shielding plate according to the range of the interference area, so as to reduce the interference characteristics affecting the network environment through the shielding plate, while reducing the impact of the shielding plate on the surrounding environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 is a flow chart of a method for remotely measuring a network environment;

[0071] Figure 2 Is the process of interference shielding method Figure 1 ;

[0072] Figure 3 Is the process of interference shielding method Figure 2 ;

[0073] Figure 4 This is the flow of the packet receiving method Figure 1 ;

[0074] Figure 5 This is the flow of the packet receiving method Figure 2 ;

[0075] Figure 6 Is the flow of the signal sending method Figure 1 ;

[0076] Figure 7 Is the flow of the signal sending method Figure 2 . DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the following Figure 1-Figure 7 It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0078] The embodiments of the present application disclose a method, system, terminal and storage medium for remotely measuring a network environment, which are used to remotely obtain network environment conditions while reducing the situation where other devices interfere with network devices and cause inaccurate network environment parameters, thereby improving the accuracy of network environment measurement.

[0079] Reference Figure 1 , a method for remotely measuring a network environment, comprising the following steps:

[0080] Step 100: Control a preset network device to send a preset test data packet.

[0081] Network devices refer to various hardware devices and device components used to build and manage computer networks. Network devices generally include switching devices, routing devices, security devices, etc. Network devices are selected by staff based on actual conditions and will not be elaborated here.

[0082] The test data packet refers to the data packet used to test the quality of the network environment. The test data packet is selected by the staff based on the actual situation and will not be elaborated here.

[0083] Step 101: Control a preset measuring device to obtain an actual data packet.

[0084] The measuring device refers to a device used to receive information sent by a network device. The measuring device generally implements its functions through an integrated chip. For example, chips with model numbers RT2515H, SPX3819M5-L-3-3, XR21V1412, CT2EB, SNS521S and TISN74HC4066 are integrated to form a measuring device. The measuring device is selected by the staff based on actual conditions and will not be elaborated here.

[0085] The actual data packet refers to the test data packet sent by the network device and received by the measuring device. The test data packet is easily affected by the network environment during transmission. The network environment status is analyzed by comparing the actual data packet with the test data packet.

[0086] Step 102: Analyze network environment parameters from a preset network environment analysis model according to the test data packet and the actual data packet.

[0087] The network environment analysis model refers to a neural network model obtained in advance through sample training. The network environment analysis model can obtain network parameters such as bandwidth, delay, jitter and packet loss rate by comparing test data packets and actual data packets. The network environment parameters are the data sets of parameters such as bandwidth, delay, jitter and packet loss rate obtained through analysis of the network environment analysis model.

[0088] Step 103: When the network environment parameter falls into a preset interference range, an environment image around the network device is acquired.

[0089] The interference interval refers to the network environment parameter interval where the network environment is poor. When there are interference objects such as high-power electrical appliances around the network device, network parameters such as delay, jitter and packet loss rate are likely to increase. The interference interval is selected by the staff according to the actual situation and will not be described here. If the network environment parameters fall into the interference interval, it means that the network environment is poor at this time and there may be interference objects.

[0090] The environmental image refers to a picture of the environment where the network device is located. The environmental image can be obtained through a camera. The method for obtaining the environmental image is selected by the staff according to the actual situation and will not be elaborated here.

[0091] Step 104: Determine whether there is an interference feature around the network device from a preset interference feature determination model according to the environment image.

[0092] Interference features refer to objects such as high-power electrical appliances that easily interfere with network equipment and cause network environment parameters to deteriorate. The interference feature judgment model refers to a neural network model obtained through sample training in advance. The interference feature judgment model can identify whether there are interference features in the environment image.

[0093] Step 105: When there is an interference feature around the network device, match the interference location and the interference source strength value from a preset interference identification model based on the interference feature.

[0094] The presence of interference features around the network device means that the network environment parameters measured by the measuring device are interfered with and do not conform to the actual parameters of the network device. The interference recognition model refers to a neural network model obtained through sample training in advance. The interference recognition model can identify the location of the interference features from the environmental image, and identify the type of interference from the environmental image, and match the interference source strength value from the pre-set interference strength database according to the type of interference.

[0095] The types of interference objects include appliances that are prone to interference, such as microwave ovens, induction cookers, and refrigerators, as well as materials that are prone to affect signal transmission and reception, such as metal and glass. The interference intensity database refers to a pre-set database that records the types of interference objects and the corresponding interference source intensity values.

[0096] Step 106: Control the preset measuring device to send the network environment parameters, interference location and interference source strength to the preset receiving device.

[0097] The receiving device refers to a device used to receive and display information sent by the measuring device. After the measuring device measures information such as network environment parameters, interference location and interference source strength, it wirelessly sends the information to the receiving device. The receiving device receives the information and displays the network environment parameters, interference location and interference source strength on the screen in a way that is easy to view.

[0098] Reference Figure 2 , the interference shielding method comprises the following steps:

[0099] Step 200: When there are interference features around the network device, obtain the measurement position of the measurement device and the transmission position of the network device.

[0100] The measuring position refers to the coordinate position of the measuring device, and the sending position refers to the coordinate position of the network device. The measuring position and the sending position can be obtained by obtaining pictures of the measuring device and the network device through a camera, and then the measuring position and the sending position are identified from the pictures. The method for obtaining the measuring position and the sending position is selected by the staff according to actual conditions and will not be elaborated here.

[0101] Step 201: Match a measurement route from a preset measurement route matching model according to the measurement position and the sending position.

[0102] The measurement route matching model refers to a neural network model obtained in advance through sample training. The measurement route matching model can match the measurement route that the network device passes through when transmitting information from the sending position to the measuring position.

[0103] Step 202: Match the interference intensity value of the interference feature to the measurement route from a preset interference intensity recognition model according to the interference source intensity, interference location and measurement route.

[0104] The interference intensity recognition model refers to a neural network model obtained through sample training in advance. The interference intensity recognition model can match the maximum interference intensity value of the interference feature on the measurement route, that is, the interference intensity value of the point on the measurement route closest to the interference position.

[0105] Step 203: When the interference intensity value falls into the preset shielding interval, the shielding direction is matched from a preset shielding direction matching model according to the interference position and the measurement route.

[0106] The shielding interval refers to the interference intensity value interval where the interference feature has too much interference on the measurement route. The shielding interval is selected by the staff according to the actual situation and will not be described here. If the interference intensity value falls into the shielding interval, it means that the interference of the interference feature on the measurement route needs to be reduced at this time.

[0107] The shielding direction matching model refers to a neural network model obtained in advance through sample training. The shielding direction matching model can match the shielding interference characteristics according to the interference position and the shielding direction that does not interfere with the measurement route.

[0108] Step 204: Match the shielding plate number from a preset shielding plate number matching model according to the shielding direction.

[0109] The shielding plate refers to a device used to reduce the impact of interference characteristics on network equipment, thereby improving the accuracy of the network environment parameter model obtained by the measuring device. The shielding plate is generally made of metal and other materials that are not easily penetrated by electromagnetic waves. The shielding plate is selected by the staff according to the actual situation and will not be described in detail here. The shielding plate number matching model refers to the digital number set for the shielding plate in advance. Each shielding plate number corresponds to a shielding plate. The shielding plate number is selected by the staff according to the actual situation and will not be described in detail here.

[0110] The shielding plate number matching model refers to a neural network model obtained in advance through sample training. The shielding plate number matching model can match the shielding plate numbers of the shielding plates located in the shielding direction.

[0111] Step 205: Control the preset shielding plate to rise according to the shielding plate number to reduce the interference of the interference feature to the network device.

[0112] By erecting a shielding plate between the interference feature and the network device, the interference intensity of the interference feature on the network device is reduced, thereby improving the accuracy of the network environment parameters measured by the measuring device.

[0113] Reference Figure 3 , the interference shielding method also includes the following steps:

[0114] Step 206: When there is an interference feature around the network device, an interference area is matched from a preset interference area matching model based on the interference feature and the interference source strength value.

[0115] The interference area refers to the area where the interference intensity value reaches the lower limit of the shielding interval. The interference area matching model refers to a neural network model obtained through sample training in advance. The interference area matching model can obtain the shape of the interference feature from the environmental image and match the interference area in combination with the interference source intensity value.

[0116] Step 207: Match the shielding plate position and shielding plate direction from a preset shielding plate database according to the shielding plate number.

[0117] The shielding plate database refers to a database that records shielding plate numbers and corresponding shielding plate positions and shielding plate directions.

[0118] Step 208: Match the shielding plate height from a preset shielding plate height matching model according to the interference area, the shielding plate position and the shielding plate direction.

[0119] The shielding plate height matching model refers to a neural network model obtained through sample training in advance. The shielding plate height matching model can match the shielding plate height that can just block the interference area to form a required shielding plate.

[0120] Step 209: Control the preset shielding plate to rise according to the shielding plate number to reduce the interference of the interference feature to the network device.

[0121] When the shielding plate is used to reduce the interference of interference characteristics to the network device, the shielding plate is likely to affect the radio communication such as the communication between the measuring device and the receiving device. The height of the shielding plate is reduced to reduce the influence of the shielding plate on the communication of other devices.

[0122] Reference Figure 4, the data packet receiving method comprises the following steps:

[0123] Step 300: When the interference intensity value exceeds the preset shielding interval, the extension direction is matched from a preset extension direction matching model according to the measurement position, the measurement route and the interference area.

[0124] The signal receiving device refers to a device that is arranged on the measuring device for receiving information sent by the network device, and extends out of the measuring device to change the position of receiving the information sent by the network device to reduce the interference of interference characteristics on the measuring route. The signal receiving device generally adopts a retractable antenna driven by a motor. The signal receiving device is selected by the staff according to actual conditions and will not be elaborated here.

[0125] The extension direction matching model refers to a neural network model obtained in advance through sample training. The extension direction matching model can match the extension direction that the signal receiving device needs to extend in order to minimize the interference intensity value and not extend the length of the measurement route.

[0126] Step 301: Match the extension length from a preset extension length matching model according to the extension direction, the measurement route and the interference area, and obtain the actual direction and actual length of the signal receiving device preset on the measuring device.

[0127] The extension length matching model refers to a neural network model obtained through sample training in advance. The extension length matching model can match the shortest extension length required to reduce the interference intensity value to fall into the shielding interval.

[0128] The actual direction refers to the actual orientation of the signal receiving device, and the actual length refers to the actual length of the signal receiving device. The actual direction and actual length can be obtained by obtaining a picture of the signal receiving device through a camera, and then identifying and obtaining the actual direction and actual length from the picture. The method for obtaining the actual direction and actual length is selected by the staff based on actual conditions and will not be elaborated here.

[0129] Step 302: Match the extension stroke from a preset extension stroke matching model according to the actual direction, the actual length, the extension direction and the extension length.

[0130] The extended stroke matching model refers to a neural network model obtained through sample training in advance. The extended stroke matching model can match the extended stroke that the signal receiving device passes through when it turns from the actual direction to the extended direction and then extends from the actual length to the extended length.

[0131] Step 303: Control the direction and length of the signal receiving device preset on the measuring device according to the extension stroke.

[0132] The signal of the network device is received by the signal receiving device and transmitted to the measuring device, thereby changing the measuring route into a route from the network device to the end of the signal receiving device. By adjusting the orientation and length of the signal receiving device to change the position of the end of the signal receiving device, the measuring route is adjusted to make the measuring route away from the interference features, thereby reducing the influence of the interference features on the measuring route.

[0133] Reference Figure 5 , the data packet receiving method further comprises the following steps:

[0134] Step 304: After the signal receiving device is extended, an extended image of the signal receiving device is acquired.

[0135] The extended image refers to a picture of the signal receiving device obtained after the signal receiving device is extended. The extended image can be obtained by a camera. The method for obtaining the extended image is selected by the staff according to actual conditions and will not be elaborated here.

[0136] Step 305: Identify whether the signal receiving device is bent from a preset bending recognition model according to the extended image.

[0137] The bend recognition model refers to a neural network model obtained through sample training in advance. The bend recognition model can recognize whether a signal receiving device is bent.

[0138] Step 306: When the signal receiving device is bent, the bending position is identified from a preset bending position identification model according to the extended image.

[0139] When the signal receiving device is bent, the resistance to the retraction of the signal receiving device increases, which may easily cause the signal receiving device to be damaged secondary and then cause the signal receiving device to fail. The bending position recognition model refers to a neural network model obtained through sample training in advance. The bending position recognition model can recognize the bending position of the signal receiving device from the extension image.

[0140] Step 307: Match the recovery length from a preset recovery length matching model according to the bending position.

[0141] The recovery length matching model refers to a neural network model obtained in advance through sample training. The recovery length matching model can match the maximum recovery length that the signal receiving device can extend and retract after being bent.

[0142] Step 308: After the measuring device receives the completion signal, the preset signal receiving device is controlled to retract according to the recovery length.

[0143] When the signal receiving device is bent, the recovery length is identified according to the bending position, and the signal receiving device is controlled to retract according to the recovery length, thereby reducing the possibility of malfunction of the signal receiving device.

[0144] Reference Figure 6 , the signal sending method comprises the following steps:

[0145] Step 400: When there are interference features around the network device, obtain the receiving position of the receiving device.

[0146] The receiving position refers to the coordinate position of the receiving device. The receiving position can be obtained through a positioning device built into the receiving device. The method for obtaining the receiving position is selected by the staff according to actual conditions and will not be elaborated here.

[0147] Step 401: Match a sending route from a preset sending route matching model according to the measurement position and the receiving position.

[0148] The transmission route matching model refers to a neural network model obtained in advance through sample training. The transmission route matching model can match the transmission route through which the measuring device transmits the signal from the measuring position to the receiving device at the receiving position.

[0149] Step 402: Match the disturbance intensity value of the interference feature on the transmission route from a preset interference intensity recognition model according to the interference source intensity, interference location and transmission route.

[0150] The interference intensity recognition model refers to a neural network model obtained through sample training in advance. The interference intensity recognition model can match the maximum disturbance intensity value of the interference feature on the transmission route, that is, the disturbance intensity value of the point on the transmission route closest to the interference position.

[0151] Step 403: When the disturbance intensity value exceeds the preset disturbance interval, the transmit power is matched from a preset transmit power matching model according to the disturbance intensity value.

[0152] The disturbance interval refers to the disturbance intensity value interval where the interference feature has less interference on the transmission route. The disturbance interval is selected by the staff according to the actual situation and will not be elaborated here. The disturbance intensity value beyond the disturbance interval means that the interference feature has greater interference on the transmission route. The transmission power matching model refers to the neural network model obtained through sample training in advance. The transmission power matching model can match the transmission power required by the measuring device to stably send information to the receiving device under the disturbance intensity value.

[0153] Step 404: Control the preset measuring device according to the transmission power to send the network environment parameters, interference location and interference source strength to the preset receiving device.

[0154] When the interference characteristics have a greater impact on the transmission route, the power of the signal sent by the measuring device is increased so that the receiving device can receive the information.

[0155] Reference Figure 7 , the signal sending method further comprises the following steps:

[0156] Step 405: Get the current time.

[0157] The current time refers to the time information obtained by the measuring device. The current time can be obtained through a timer. The method for obtaining the current time is selected by the staff according to the actual situation and will not be elaborated here.

[0158] Step 406: When the disturbance intensity value does not exceed the preset disturbance interval, the current time is defined as the reference time.

[0159] The disturbance intensity value does not exceed the disturbance interval, which means that the interference characteristics have little interference on the transmission route at this time. The reference time refers to the starting time for calculating the length of time that the measuring device is in a situation where the disturbance intensity value exceeds the disturbance interval.

[0160] Step 407: Based on the situation that the disturbance intensity value exceeds the preset disturbance interval, the standby time is matched from a preset standby time matching model according to the current time and the reference time.

[0161] The standby time matching model refers to a neural network model obtained in advance through sample training. The standby time matching model can match the length of time from the reference time to the current time. When the disturbance intensity value exceeds the disturbance interval, the reference time at this time is the time before the disturbance intensity value exceeds the disturbance interval, and the length of time from the reference time to the current time is the length of time the measuring device is in a situation where the disturbance intensity value exceeds the disturbance interval. The standby time is the length of time the measuring device is in a situation where the disturbance intensity value exceeds the disturbance interval obtained by the standby time matching model.

[0162] Step 408: When the standby time exceeds the preset time interval or the disturbance intensity value does not exceed the preset disturbance interval, the preset measuring device controls the network environment parameters, interference location and interference source intensity to the preset receiving device according to the transmission power, and defines the current time as the reference time.

[0163] The time interval refers to the maximum length of time that the measuring device does not send information continuously. When the measuring device does not send information for a long time, it is easy for the receiving device to be unable to obtain network environment parameters in time, which in turn causes the staff to be unable to view the network environment in real time. The time interval is selected by the staff according to actual conditions and will not be elaborated here.

[0164] When the disturbance intensity value is too large, the measuring device stops sending information, and sends it when the disturbance intensity value is smaller or the standby time is too long.

[0165] Based on the same inventive concept, an embodiment of the present invention provides a system for remotely measuring a network environment, including:

[0166] An acquisition module is used to acquire an environment image, a measurement position, a sending position, an actual direction, an actual length, an extended image, a receiving position and a current time;

[0167] A memory for storing a program of any one of the control methods of the remote measurement network environment method;

[0168] The program in the memory can be loaded and executed by the processor to implement any one of the control methods of the remote measurement network environment method.

[0169] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0170] An embodiment of the present invention provides a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing a method for remotely measuring a network environment.

[0171] Computer storage media include, for example, USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks, and other media that can store program codes.

[0172] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute a method for remotely measuring a network environment.

[0173] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0174] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A method for remotely measuring a network environment, characterized in that: include: Controlling a preset network device to send a preset test data packet; Controlling a preset measuring device to obtain actual data packets; Analyze network environment parameters from a preset network environment analysis model based on test data packets and actual data packets; When the network environment parameter falls into a preset interference range, acquiring an environment image around the network device; Judging whether there are interference features around the network device from a preset interference feature judgment model according to the environment image; When there are interference features around the network device, the interference location and interference source strength value are matched from a preset interference identification model based on the interference features; Controlling a preset measuring device to send network environment parameters, interference location and interference source strength to a preset receiving device; The method also includes an interference shielding method, the interference shielding method comprising: When there are interference features around the network device, obtaining a measurement position of the measurement device and a transmission position of the network device; Matching a measurement route from a preset measurement route matching model according to the measurement position and the sending position; According to the interference source strength, interference location and measurement route, the interference strength value of the interference feature on the measurement route is matched from a preset interference strength recognition model; When the interference intensity value falls into the preset shielding interval, the shielding direction is matched from the preset shielding direction matching model according to the interference position and the measurement route; Matching the shielding plate number from a preset shielding plate number matching model according to the shielding direction; The preset shielding plate is controlled to rise according to the shielding plate number to reduce the interference of the interference feature to the network device.

2. A method for remotely measuring a network environment according to claim 1, characterized in that: The interference shielding method further includes: When there are interference features around the network device, an interference area is matched from a preset interference area matching model based on the interference features and the interference source strength value; Matching the shielding plate position and shielding plate direction from a preset shielding plate database according to the shielding plate number; Matching the shielding plate height from a preset shielding plate height matching model according to the interference area, the shielding plate position and the shielding plate direction; According to the shielding plate number, the preset shielding plate is controlled to rise according to the shielding plate height to reduce the interference of the interference characteristics to the network device.

3. A method for remotely measuring a network environment according to claim 2, characterized in that: Also included is a data packet receiving method, the data packet receiving method comprising: When the interference intensity value exceeds the preset shielding interval, the extension direction is matched from the preset extension direction matching model according to the measurement position, the measurement route and the interference area; Matching the extension length from a preset extension length matching model according to the extension direction, the measurement route and the interference area, and obtaining the actual direction and actual length of the signal receiving device preset on the measuring device; Matching the extension stroke from a preset extension stroke matching model according to the actual direction, the actual length, the extension direction and the extension length; The direction and length of the signal receiving device preset on the measuring device are controlled according to the extension stroke.

4. A method for remotely measuring a network environment according to claim 3, characterized in that: The data packet receiving method further comprises: When the signal receiving device is extended, acquiring an extended image of the signal receiving device; Identifying whether the signal receiving device is bent from a preset bending recognition model according to the extended image; When the signal receiving device is bent, the bending position is identified from a preset bending position identification model according to the extension image; Matching the recovery length from a preset recovery length matching model according to the bending position; When the measuring device receives the completion signal, the preset signal receiving device is controlled to retract according to the recovery length.

5. A method for remotely measuring a network environment according to claim 1, characterized in that: The method further includes a signal sending method, wherein the signal sending method includes: When there are interference features around the network device, obtaining a receiving position of the receiving device; Matching a sending route from a preset sending route matching model according to the measurement position and the receiving position; According to the interference source strength, interference location and transmission route, the disturbance intensity value of the interference feature on the transmission route is matched from the preset interference intensity recognition model; When the disturbance intensity value exceeds the preset disturbance interval, the transmission power is matched from the preset transmission power matching model according to the disturbance intensity value; The preset measuring device is controlled according to the transmission power to send the network environment parameters, interference location and interference source strength to the preset receiving device.

6. A method for remotely measuring a network environment according to claim 5, characterized in that: The signal sending method further includes: Get the current time; When the disturbance intensity value does not exceed the preset disturbance interval, the current time is defined as the reference time; Based on the situation that the disturbance intensity value exceeds the preset disturbance interval, matching the standby time from the preset standby time matching model according to the current time and the reference time; When the standby time exceeds the preset time interval or the disturbance intensity value does not exceed the preset disturbance interval, the preset measuring device controls the network environment parameters, interference location and interference source intensity to the preset receiving device according to the transmission power, and defines the current time as the reference time.

7. A remote network environment measurement system, characterized in that: include: An acquisition module is used to acquire an environment image, a measurement position, a sending position, an actual direction, an actual length, an extended image, a receiving position and a current time; A memory, used to store a program of a control method for a remote method for measuring a network environment according to any one of claims 1 to 6; The program in the memory can be loaded and executed by the processor to implement the control method of the method for remotely measuring a network environment as claimed in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The device stores a computer program that can be loaded by a processor and executes a method for remotely measuring a network environment according to any one of claims 1 to 6.

9. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a method for remotely measuring a network environment as claimed in any one of claims 1 to 6.

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