CN117939502A - Remote control method and system for wireless network system under complex environment condition - Google Patents
Remote control method and system for wireless network system under complex environment condition Download PDFInfo
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Abstract
The invention relates to the technical field of wireless network communication, in particular to a remote control method and a system of a wireless network system under complex environmental conditions, wherein the method comprises the following steps: detecting path loss and constructing a signal attenuation model; deploying a signal terminal; judging whether a judging reference for judging whether the network condition of the signal terminal is qualified meets a standard; judging whether the network condition of the signal terminal is qualified or not according to the average data transmission speed, and determining the reason of the disqualification; adjusting the distance between the signal terminals; and deploying the signal terminal. According to the invention, the data analysis module judges whether the judging standard for judging whether the network condition of the signal terminals is qualified or not according to the average data transmission speed, so that the analysis accuracy of the network condition under the complex environment condition is improved, the control accuracy of the network condition is improved, the distance between the signal terminals is adjusted to the corresponding value according to the average data transmission speed, and the rationality of the signal terminal deployment under the complex environment condition is improved.
Description
Technical Field
The present invention relates to the field of wireless network communication technologies, and in particular, to a method and a system for remotely controlling a wireless network system under a complex environmental condition.
Background
The tunnel wireless communication system mainly comprises three parts: the system comprises a base station, relay equipment and user equipment, wherein the relay equipment is arranged in a tunnel, network signals can be transmitted to a deeper part of the tunnel, the network coverage area is enlarged, the prior art is connected with a relay wireless switching system through a wireless mesh network, underground high-definition video monitoring and stable remote control of the equipment are realized, but network conditions are not analyzed, the network conditions are unqualified due to unreasonable arrangement of signal terminals, and the information transmission efficiency is low.
Chinese patent application No.: CN201720399631.4 discloses a coal mine wireless network monitoring system, which relates to a coal mine monitoring system, in particular to a coal mine wireless network monitoring system, comprising a ground server, a core switch, a convergence wireless switching system, a relay wireless switching system, a combination switch and an explosion-proof camera, wherein the ground server is connected with the core switch through a network cable, the core switch is connected with the convergence wireless switching system through an optical fiber or a network cable, the convergence wireless switching system is connected with the relay wireless switching system through a wireless mesh network, and the relay wireless switching system is connected with the combination switch and/or the explosion-proof camera. The invention provides a wireless network monitoring system for a coal mine, which has the advantages of large bandwidth, stable network, long delay and no packet loss, and realizes remote control of underground high-definition video monitoring and equipment stability. From this, it can be seen that the wireless network monitoring system for coal mine has the following problems: the network condition is not analyzed, the signal terminal does not meet the standard, so that the network condition is unqualified, and the information transmission efficiency is low.
Disclosure of Invention
Therefore, the invention provides a remote control method and a remote control system for a wireless network system under a complex environment condition, which are used for solving the problems that in the prior art, network conditions are unqualified and information transmission efficiency is low due to the fact that network conditions are not analyzed and a signal terminal does not meet standards.
In order to achieve the above object, the present invention provides a remote control method for a wireless network system under complex environmental conditions. Comprising the following steps:
step S1, a detection module detects the path loss of a signal in the current environment, and a construction module constructs a signal attenuation model according to the path loss;
step S2, a network deployment module deploys a signal terminal according to the signal attenuation model;
Step S3, the data analysis module judges whether a judging reference for judging whether the network condition of the signal terminal is qualified or not accords with a standard according to the signal attenuation model, and adjusts the judging reference to a corresponding value when judging that the judging reference does not accord with the standard;
Step S4, the data analysis module judges whether the network condition of the signal terminal is qualified according to the average data transmission speed, and determines the reason of the unqualified network condition according to the average data transmission speed when the network condition is judged to be unqualified, wherein the reasons include: the version is too low, and the arrangement of the signal terminals is not qualified;
Step S5, when the data analysis module judges that the ratio of the signal terminals is unqualified, the distance between the signal terminals is adjusted to a corresponding value according to the average data transmission speed;
and S6, the network deployment module deploys the signal terminal according to the analysis result of the data analysis module.
Further, the construction module constructs the signal attenuation model according to the path loss measured by the detection module, sets a signal attenuation model s=l0/lxw, wherein L0 is a preset distance preset in the data analysis module, L is a shortest distance between a current position and a signal terminal, W is a preset signal attenuation coefficient preset in the data analysis module, the data analysis module calculates the signal attenuation model of the current position, judges whether a preset average data transmission speed preset by the data analysis module meets a standard according to the signal attenuation model of the current position, and selects a corresponding correction coefficient to correct the preset average data transmission speed to a corresponding value when judging that the preset average data transmission speed does not meet the standard.
Further, after the network deployment module deploys the preset number of signal terminals, the data analysis module judges whether the network condition of the signal terminal in the current environment is qualified or not according to the average data transmission speed of the single signal terminal in the preset period measured by the detection module, judges that the network condition of the signal terminal in the current environment is unqualified when the network condition of the signal terminal in the current environment is judged to be unqualified, the data analysis module carries out secondary judgment on whether the network condition of the signal terminal is qualified or not according to the transmission speed of the signal terminal in the history record,
Or determining the reason of disqualification of the network condition according to the average data transmission speed.
Further, the data analysis module calculates a variance of the transmission rate of the signal terminal in the history record in a preset time period when determining whether the network condition of the signal terminal is qualified according to the transmission rate of the signal terminal in the history record, determines whether the network condition of the signal terminal is qualified according to the variance, and determines that the reason of the unqualified network condition is that the transmission data amount is too large when determining that the network condition of the signal terminal is unqualified.
Further, when the reason that the network condition is unqualified is determined as that the transmission data volume is too large, the data analysis module marks the difference value between the variance and the preset variance preset in the data analysis module as a first-level difference value, and a plurality of adjustment modes aiming at the compression multiplying power of the data to be transmitted are arranged according to the first-level difference value, wherein the adjustment modes are different.
Further, the data analysis module determines a cause of disqualification of the network condition for the signal terminal according to the average data transmission speed when determining the cause of disqualification of the network condition according to the average data transmission speed, or performs secondary determination of the cause of disqualification of the network condition for the signal terminal according to the average data transmission speed, the causes including: the version is too low, or the arrangement of the signal terminals is disqualified;
and the data analysis module updates the signal terminal when the version is judged to be too low.
Further, the data analysis module determines, when determining that the reason for the network condition failure of the signal terminal is secondarily determined, the reason for the network condition failure of the signal terminal according to the average data transmission speed, the reasons including: the terminal is damaged, and the arrangement of the signal terminals is disqualified;
and the data analysis module sends out a replacement notification when judging that the terminal is damaged.
Further, when the reason that the network condition of the signal terminal is unqualified is determined by the data analysis module, a plurality of arrangement modes aiming at the signal terminal are set on the basis of the average data transmission speed, and the adjustment modes aiming at the distances between a single signal terminal and the previous signal terminal are different.
Further, when the data analysis module finishes determining the arrangement mode of the signal terminals, the distance between the single signal terminal and the previous signal terminal is balanced according to the number of the signal terminals preset in the data analysis module.
The invention provides a remote control system of a wireless network system under complex environmental conditions. Comprising the following steps:
A detection module for detecting the path loss of the signal and the average data transmission speed of the signal terminal;
the construction module is connected with the detection module and used for constructing a signal attenuation model according to the path loss measured by the detection module;
The data analysis module is connected with the detection module and the construction module and is used for judging whether the network condition of the signal terminal is qualified according to the signal attenuation model constructed by the construction module, judging whether the network condition of the signal terminal is qualified according to the average data transmission speed of the signal terminal measured by the detection module, and adjusting the corresponding parameters to the corresponding values or sending corresponding instructions when the network condition of the signal terminal is judged to be unqualified;
the network deployment module is connected with the data analysis module and used for deploying the signal terminal according to the analysis result of the data analysis module.
Compared with the prior art, the method has the beneficial effects that the data analysis module judges whether the network condition of the signal terminals is qualified or not according to the average data transmission speed, so that the analysis accuracy of the network condition under the complex environment condition is improved, the data analysis module judges whether the network condition of the signal terminals is qualified or not according to the signal attenuation model, the control accuracy of the network condition is improved, the data analysis module adjusts the distance between the signal terminals to the corresponding value according to the average data transmission speed, the signal terminal deployment is more in accordance with the actual application scene, and the information transmission speed is improved.
Further, the data analysis module judges whether the preset average data transmission speed is qualified or not according to the signal attenuation model, and when the preset average data transmission speed is judged to be unqualified, the corresponding correction coefficient is selected to correct the preset average data transmission speed to a corresponding value, so that the control precision of a judgment standard for judging whether the network condition of the signal terminal is qualified or not is further improved.
Further, the data analysis module judges whether the network condition of the signal terminal is qualified according to the average data transmission speed, and judges whether the network condition of the signal terminal is qualified according to the transmission speed of the signal terminal in the history when the network condition of the signal terminal in the current environment is judged to be unqualified, so that the control precision of the network condition of the signal terminal is further improved.
Further, the data analysis module judges whether the network condition of the signal terminal is qualified according to the variance of the transmission rate, and judges that the reason of the unqualified network condition is that the transmission data volume is too large when the unqualified network condition is judged, thereby improving the control precision of the reason of the unqualified network condition in the complex environment.
Further, the data analysis module judges the reasons of unqualified network conditions according to the second-level difference values, improves the control precision of complex environments, judges the network conditions according to the data transmission speed, and improves the analysis accuracy of the network conditions.
Further, the data analysis module balances the distance between the signal terminals according to the number of the preset signal terminals, and ensures the network condition while controlling the cost.
Drawings
FIG. 1 is a block diagram of a remote control system of a wireless network system under complex environmental conditions according to the present invention;
FIG. 2 is a flow chart of a method for remotely controlling a wireless network system under complex environmental conditions according to the present invention;
FIG. 3 is a flow chart of the present invention directed to determining whether the network condition of the signal terminal is acceptable in the current environment;
fig. 4 is a flow chart of the present invention for secondarily determining whether the network condition of the signal terminal is acceptable.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that, the data in this embodiment are obtained by comprehensively analyzing and evaluating the historical detection data and the corresponding historical detection results in three months before the current detection by the system of the present invention. The system comprehensively determines the numerical value of each preset parameter standard aiming at the current detection according to the data transmission speed of the signal terminal which is accumulatively detected in the first three months before the current detection. It will be understood by those skilled in the art that the determination manner of the system according to the present invention for the parameters mentioned above may be that the value with the highest duty ratio is selected as the preset standard parameter according to the data distribution, the weighted summation is used to take the obtained value as the preset standard parameter, each history data is substituted into a specific formula, and the value obtained by using the formula is taken as the preset standard parameter or other selection manner, as long as different specific conditions in the single item determination process can be definitely defined by the obtained value by the system according to the present invention are satisfied.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Fig. 1 is a block diagram of a remote control system of a wireless network system under a complex environment condition according to the present invention.
The remote control system of the wireless network system under the complex environmental condition in the embodiment of the invention comprises:
A detection module for detecting the path loss of the signal and the average data transmission speed of the signal terminal;
the construction module is connected with the detection module and used for constructing a signal attenuation model according to the path loss measured by the detection module;
The data analysis module is connected with the detection module and the construction module and is used for judging whether the network condition of the signal terminal is qualified according to the signal attenuation model constructed by the construction module, judging whether the network condition of the signal terminal is qualified according to the average data transmission speed of the signal terminal measured by the detection module, and adjusting the corresponding parameters to the corresponding values or sending corresponding instructions when the network condition of the signal terminal is judged to be unqualified;
the network deployment module is connected with the data analysis module and used for deploying the signal terminal according to the analysis result of the data analysis module.
Fig. 2 is a flowchart of a remote control method of a wireless network system under the complex environmental condition according to the present invention.
The remote control method of the wireless network system under the complex environment condition comprises the following steps:
step S1, a detection module detects the path loss of a signal in the current environment, and a construction module constructs a signal attenuation model according to the path loss;
step S2, a network deployment module deploys a signal terminal according to the signal attenuation model;
Step S3, the data analysis module judges whether a judging reference for judging whether the network condition of the signal terminal is qualified or not accords with a standard according to the signal attenuation model, and adjusts the judging reference to a corresponding value when judging that the judging reference does not accord with the standard;
step S4, the data analysis module judges whether the network condition of the signal terminal is qualified according to the average data transmission speed, and determines the reason of the unqualified network condition according to the average data transmission speed when the network condition is judged to be unqualified, wherein the reasons include: the version is too low, and the arrangement of the signal terminals is not qualified;
Step S5, when the data analysis module judges that the ratio of the signal terminals is unqualified, the distance between the signal terminals is adjusted to a corresponding value according to the average data transmission speed;
and S6, the network deployment module deploys the signal terminal according to the analysis result of the data analysis module.
According to the invention, the data analysis module judges whether the network condition of the signal terminals is qualified or not according to the average data transmission speed, so that the analysis accuracy of the network condition under the complex environment condition is improved, the data analysis module judges whether the network condition of the signal terminals is qualified or not according to the signal attenuation model, the control accuracy of the network condition is improved, the data analysis module adjusts the distance between the signal terminals to a corresponding value according to the average data transmission speed, the signal terminal deployment is more in accordance with the actual application scene, and the information transmission rate is improved.
Specifically, the construction module constructs the signal attenuation model according to the path loss measured by the detection module, sets a signal attenuation model s=l0/lxw, wherein L0 is a preset distance preset in the data analysis module, L is a shortest distance between a current position and a signal terminal, W is a preset signal attenuation coefficient preset in the data analysis module, the data analysis module calculates the signal attenuation model of the current position, and determines whether a preset average data transmission speed preset by the data analysis module meets a standard according to the signal attenuation model of the current position, wherein:
The first determining mode is that the data analysis module judges that the preset average data transmission speed accords with a standard; the first determination mode meets the condition that a signal attenuation model of the current position is smaller than or equal to a first preset signal attenuation model preset in the data analysis module;
The second determining mode is that the data analysis module determines to select a first correction coefficient alpha 1 to correct the preset average data transmission speed to a corresponding value, and the corrected preset average data transmission speed Vi' =α1×vi is set, wherein i=1, 2 and Vi are initial preset average data transmission speeds before correction; the second determining mode meets the condition that a signal attenuation model of the current position is larger than the first preset signal attenuation model and smaller than or equal to a second preset signal attenuation model preset in the data analysis module;
A third determining mode is that the data analysis module determines to select a second correction coefficient alpha 2 to correct the preset average data transmission speed V to a corresponding value, and the corrected preset average data transmission speed Vi' =alpha 2 multiplied by Vi is set; and the third determining mode meets the condition that the signal attenuation model of the current position is larger than the second preset signal attenuation model.
In the embodiment of the invention, the preset distance L0 is 20m, the preset signal attenuation coefficient is 0.02dB/m, the first preset signal attenuation model is 0.01dB/m, the second preset signal attenuation model is 0.03dB/m, the first correction coefficient alpha 1 is 1.1, and the second correction coefficient alpha 2 is 1.2.
According to the invention, the data analysis module judges whether the preset average data transmission speed is qualified or not according to the signal attenuation model, and when the preset average data transmission speed is judged to be unqualified, the corresponding correction coefficient is selected to correct the preset average data transmission speed to a corresponding value, so that the control precision of a judgment standard for judging whether the network condition of the signal terminal is qualified or not is further improved.
Specifically, after the network deployment module deploys a preset number of signal terminals, the data analysis module determines whether the network condition of the signal terminal in the current environment is qualified according to the average data transmission speed of the single signal terminal in the preset period, which is measured by the detection module, wherein:
The first judging mode is that the data analysis module judges that the network condition of the signal terminal in the current environment is qualified; the first judging mode meets the condition that the average data transmission speed is smaller than or equal to the first preset average data transmission speed;
The second judging mode is that the data analysis module judges that the network condition of the signal terminal in the current environment is unqualified, and judges whether the network condition of the signal terminal is qualified or not for the second time according to the transmission rate of the signal terminal in the history record; the second judging mode meets the condition that the average data transmission speed is larger than the first preset average data transmission speed and smaller than or equal to a second preset average data transmission speed preset in the data analysis module;
the third judging mode is that the data analysis module judges that the network condition of the signal terminal in the current environment is unqualified, and determines the reason of the unqualified network condition according to the average data transmission speed; the third determination means satisfies that the average data transmission speed is greater than the second preset average data transmission speed.
In the embodiment of the invention, the preset period is 5h, the first preset average data transmission speed is 20Mbps, and the second preset average data transmission speed is 24Mbps.
According to the invention, the data analysis module judges whether the network condition of the signal terminal is qualified according to the average data transmission speed, and when the network condition of the signal terminal in the current environment is judged to be unqualified, the data analysis module carries out secondary judgment on whether the network condition of the signal terminal is qualified according to the transmission speed of the signal terminal in the history record, so that the control precision of the network condition of the signal terminal is further improved.
Specifically, the data analysis module calculates a variance of a transmission rate of a signal terminal in a history in a preset time period in the second determination mode, and determines a secondary determination mode for whether a network condition of the signal terminal is qualified according to the variance, wherein:
The first secondary judgment mode is that the data analysis module judges that the network condition of the signal terminal is qualified; the first secondary judgment mode meets the condition that the variance is smaller than or equal to a preset variance preset in the data analysis module;
The second secondary judgment mode is that the data analysis module judges that the network condition of the signal terminal is unqualified, and judges that the reason of the unqualified network condition is that the transmission data volume is overlarge; the second secondary decision mode satisfies that the variance is greater than the preset variance.
In the embodiment of the invention, the preset variance is 20.
In the embodiment of the invention, the data analysis module records the transmission rate of the signal terminal every 3 seconds, and the preset time period is 4 hours.
According to the invention, the data analysis module judges whether the network condition of the signal terminal is qualified according to the variance of the transmission rate, and judges that the reason of the unqualified network condition is that the transmission data volume is too large when the unqualified network condition is judged, thereby improving the control precision of the reason of the unqualified network condition in the complex environment.
Specifically, the data analysis module marks the difference between the variance and the preset variance as a first-level difference in the second secondary judgment mode, and determines an adjustment mode of compression ratio for data to be transmitted according to the first-level difference, wherein:
The first adjusting mode is that the data analyzing module selects a first adjusting coefficient beta 1 to adjust the compression multiplying power D of the data to be transmitted to a corresponding value, and the adjusted compression multiplying power D' =β1×D0 is set, wherein D0 is the initial compression multiplying power before adjustment; the first adjustment mode meets the condition that the primary difference value is smaller than or equal to a preset primary difference value preset in the data analysis module;
the second adjusting mode is that the data analyzing module selects a second adjusting coefficient beta 2 to adjust the compression multiplying power D of the data to be transmitted to a corresponding value, and the adjusted compression multiplying power D' =beta 2 multiplied by D0 is set; the second adjusting mode meets the condition that the first-level difference value is larger than the preset first-level difference value.
In the embodiment of the invention, the first adjustment coefficient beta 1 is 1.2, the second adjustment coefficient beta 2 is 1.4, the initial compression multiplying power is 0.8, and the first-order difference value is the variance minus the preset variance.
Specifically, the data analysis module marks the difference between the average data transmission speed and the second preset average data transmission speed as a second-level difference under the third determination mode, and determines a reason determination mode for disqualification of the network condition of the signal terminal according to the second-level difference, wherein:
The first reason judging mode is that the data analysis module judges that the reason that the network condition of the signal terminal is unqualified is that the version is too low, and updates the signal terminal; the first reason judging mode meets the condition that the second-level difference value is smaller than or equal to a first preset second-level difference value preset in the data analysis module;
The second reason judging mode is that the data analysis module judges that the reason of the disqualification of the network condition of the signal terminal is secondarily judged according to the secondary difference value; the second reason judging mode meets the condition that the second-level difference value is larger than the first preset second-level difference value and smaller than or equal to a second preset second-level difference value preset in the data analysis module;
The third cause judgment mode is that the data analysis module judges that the reason that the network condition of the signal terminal is unqualified is that the arrangement of the signal terminal is unqualified; the third cause judgment mode meets the condition that the second level difference value is larger than the second preset second level difference value.
In the embodiment of the invention, the first preset secondary difference value is 2Mbps, the second preset secondary difference value is 4Mbps, and the secondary difference value is the average data transmission speed minus the second preset average data transmission speed.
According to the invention, the data analysis module judges the reasons of unqualified network conditions according to the second-level difference value, so that the control precision of the complex environment is improved, the network conditions are judged according to the data transmission speed, and the analysis accuracy of the network conditions is improved.
Specifically, the data analysis module determines, according to the ratio of the second level difference value to the second preset second level difference value in the second cause determination mode, a cause determination mode for failure in network conditions of the signal terminal, where:
the first cause determining mode is that the data analysis module judges that the reason of unqualified network conditions of the signal terminal is terminal damage and sends out a replacement notification; the first cause determining mode meets the condition that the ratio is larger than or equal to a preset ratio preset in the data analysis module;
The second cause determining mode is that the data analysis module judges that the reason that the network condition of the signal terminal is unqualified is that the arrangement of the signal terminal is unqualified; the second cause determination means satisfies that the ratio is smaller than the preset ratio.
In the embodiment of the invention, the preset ratio is 0.8, and the ratio is the second-level difference value to the second preset second-level difference value.
Specifically, the data analysis module marks the difference between the second level difference and the second preset second level difference as a third level difference under a first preset condition, and determines an arrangement mode for the signal terminal according to the third level difference, wherein:
The first arrangement mode is that the data analysis module selects a first arrangement coefficient gamma 1 to adjust the distance M between a single signal terminal and a previous signal terminal to a corresponding value, and the adjusted distance M' =gamma 1 multiplied by M0 is set, wherein M0 is the initial distance before adjustment; the first arrangement mode meets the condition that the three-level difference value is smaller than or equal to a preset three-level difference value preset in the data analysis module;
The second arrangement mode is that the data analysis module selects a second arrangement coefficient gamma 2 to adjust the distance M between a single signal terminal and a previous signal terminal to a corresponding value, and the adjusted distance M' =gamma 2 multiplied by M0 is set; the second arrangement mode meets the condition that the three-level difference value is larger than the preset three-level difference value;
The first preset condition is that the data analysis module judges that the reason that the network condition of the signal terminal is unqualified is that the arrangement of the signal terminal is unqualified.
In the embodiment of the invention, the first arrangement coefficient gamma 1 is 0.6, the second arrangement coefficient gamma 2 is 0.76, the initial distance is 150m, the preset three-level difference value is 1.5Mbps, and the three-level difference value is the two-level difference value minus the second preset two-level difference value.
Specifically, when the data analysis module finishes determining the arrangement mode of the signal terminals, the data analysis module balances the distance between a single signal terminal and the previous signal terminal according to the number of the signal terminals preset in the data analysis module.
According to the invention, the data analysis module balances the distance between the signal terminals according to the number of the preset signal terminals, and ensures the network condition while controlling the cost.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for remotely controlling a wireless network system under complex environmental conditions, comprising:
step S1, a detection module detects the path loss of a signal in the current environment, and a construction module constructs a signal attenuation model according to the path loss;
step S2, a network deployment module deploys a signal terminal according to the signal attenuation model;
Step S3, the data analysis module judges whether a judging reference for judging whether the network condition of the signal terminal is qualified or not accords with a standard according to the signal attenuation model, and adjusts the judging reference to a corresponding value when judging that the judging reference does not accord with the standard;
Step S4, the data analysis module judges whether the network condition of the signal terminal is qualified according to the average data transmission speed, and determines the reason of the unqualified network condition according to the average data transmission speed when the network condition is judged to be unqualified, wherein the reasons include: the version is too low, and the arrangement of the signal terminals is not qualified;
Step S5, when the data analysis module judges that the ratio of the signal terminals is unqualified, the distance between the signal terminals is adjusted to a corresponding value according to the average data transmission speed;
and S6, the network deployment module deploys the signal terminal according to the analysis result of the data analysis module.
2. The method according to claim 1, wherein the construction module constructs the signal attenuation model according to the path loss measured by the detection module, sets a signal attenuation model s=l0/lxw, wherein L0 is a preset distance preset in the data analysis module, L is a shortest distance between a current position and a signal terminal, W is a preset signal attenuation coefficient preset in the data analysis module, the data analysis module calculates the signal attenuation model of the current position, determines whether a preset average data transmission speed preset in the data analysis module meets a standard according to the signal attenuation model of the current position, and selects a corresponding correction coefficient to correct the preset average data transmission speed to a corresponding value when it is determined that the preset average data transmission speed does not meet the standard.
3. The remote control method according to claim 2, wherein the data analysis module determines whether the network condition of the signal terminal in the current environment is acceptable according to the average data transmission speed of the single signal terminal in the preset period measured by the detection module after the network deployment module deploys the preset number of signal terminals, and determines that the network condition of the signal terminal in the current environment is unacceptable when the network condition of the signal terminal in the current environment is determined to be unacceptable, the data analysis module secondarily determines whether the network condition of the signal terminal is acceptable according to the transmission speed of the signal terminal in the history,
Or determining the reason of disqualification of the network condition according to the average data transmission speed.
4. The remote control method of a wireless network system under complex environmental conditions according to claim 3, wherein the data analysis module calculates a variance of a transmission rate of the signal terminal in the history in a preset period of time when determining whether the network condition of the signal terminal is acceptable according to the transmission rate of the signal terminal in the history and determines whether the network condition of the signal terminal is acceptable according to the variance, and determines that a cause of the network condition failure is an excessive transmission data amount when determining that the network condition of the signal terminal is failed.
5. The method according to claim 4, wherein the data analysis module marks a difference between the variance and a preset variance preset in the data analysis module as a first-order difference when the reason for determining that the network condition is unqualified is that the amount of the transmission data is too large, and sets a plurality of adjustment modes for the compression ratio of the data to be transmitted according to the first-order difference, wherein each adjustment mode is different.
6. The remote control method for a wireless network system under complex environmental conditions according to claim 5, wherein the data analysis module determines a cause of disqualification of the network condition for the signal terminal based on the average data transmission speed when determining the cause of disqualification of the network condition based on the average data transmission speed, or secondarily determines the cause of disqualification of the network condition for the signal terminal based on the average data transmission speed, the causes comprising: the version is too low, or the arrangement of the signal terminals is disqualified;
and the data analysis module updates the signal terminal when the version is judged to be too low.
7. The remote control method of a wireless network system under complex environmental conditions according to claim 6, wherein the data analysis module determines the reason for the disqualification of the network condition of the signal terminal based on the average data transmission speed when determining the reason for the disqualification of the network condition of the signal terminal, the reasons comprising: the terminal is damaged, and the arrangement of the signal terminals is disqualified;
and the data analysis module sends out a replacement notification when judging that the terminal is damaged.
8. The remote control method for a wireless network system under complex environmental conditions according to claim 7, wherein the data analysis module sets a plurality of arrangement modes for the signal terminals based on the average data transmission speed when it is determined that the reason that the network condition of the signal terminals is not acceptable is that the arrangement of the signal terminals is not acceptable, and the adjustment modes of the arrangement modes for the distances between a single signal terminal and a previous signal terminal are different.
9. The remote control method for a wireless network system under complex environmental conditions according to claim 8, wherein the data analysis module balances the distance between a single signal terminal and a previous signal terminal according to the number of signal terminals preset in the data analysis module when the determination of the arrangement mode of the signal terminals is completed.
10. A remote control system for a wireless network system under complex environmental conditions implementing the method of any one of claims 1-9, comprising:
A detection module for detecting the path loss of the signal and the average data transmission speed of the signal terminal;
the construction module is connected with the detection module and used for constructing a signal attenuation model according to the path loss measured by the detection module;
The data analysis module is connected with the detection module and the construction module and is used for judging whether the network condition of the signal terminal is qualified according to the signal attenuation model constructed by the construction module, judging whether the network condition of the signal terminal is qualified according to the average data transmission speed of the signal terminal measured by the detection module, and adjusting the corresponding parameters to the corresponding values or sending corresponding instructions when the network condition of the signal terminal is judged to be unqualified;
the network deployment module is connected with the data analysis module and used for deploying the signal terminal according to the analysis result of the data analysis module.
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