CN111935268B - Data transmission signal detection system and method based on block chain and Internet of things - Google Patents

Data transmission signal detection system and method based on block chain and Internet of things Download PDF

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CN111935268B
CN111935268B CN202010768709.1A CN202010768709A CN111935268B CN 111935268 B CN111935268 B CN 111935268B CN 202010768709 A CN202010768709 A CN 202010768709A CN 111935268 B CN111935268 B CN 111935268B
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卢卫征
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Beijing Donghua Botai Technology Co.,Ltd.
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Abstract

The invention discloses a data transmission signal detection system and a method based on a block chain and the Internet of things, the system comprises a transmission signal directional transmission area measurement module, a transmission signal waiting feedback confirmation module, a response signal loss difference analysis module, a transmission signal priority path marking module and an Internet of things service platform, wherein the transmission signal directional transmission area measurement module is used for monitoring a transmission signal value in a directional transmission channel in the network, the transmission signal waiting feedback confirmation module is used for a sender to perform response signal waiting confirmation, the response signal loss difference analysis module is used for analyzing the response signal loss value, the transmission signal priority path marking module is used for performing priority access on the transmission channel selected by a transmission model, the Internet of things service platform is used for coordinating all modules and acquiring data and aiming at performing parameter detection on the current signal transmission channel, and intelligently switching the optimal channel to transmit signals when the current channel quality is poor.

Description

Data transmission signal detection system and method based on block chain and Internet of things
Technical Field
The invention relates to the field of signal transmission, in particular to a data transmission signal detection system and method based on a block chain and the Internet of things.
Background
The transmission signal is short for a signal suitable for transmission, and includes an analog transmission signal and a digital transmission signal. The transmission signal is a short name of a signal suitable for transmission, and includes an analog signal and a digital signal. Analog signal transmission: transmission means for transmitting information in analog signals in a transmission medium. Analog transmission is a transmission without regard to its content, and is a way of conducting energy, which must be lost during transmission, and whose signal strength is amplified by an amplifier. In long-distance transmission, a stage is needed to amplify the energy, but the noise increases along with the energy, so-called distortion. Digital signal transmission: transmission means for transmitting information in a transmission medium as a digital signal. The digital transmission also needs to amplify signals in the transmission process, and the digital signals are simply recombined and regenerated by utilizing a threshold voltage formed by a circuit to generate new signals which completely eliminate attenuation or distortion.
The transmission signals can be divided into the following four types of transmission: analog data is transmitted in analog signals: traditional telephone systems, which employ hierarchical switching; the long-distance trunk line adopts a frequency division multiplexing transmission mode, namely carrier telephone. Digital data is transmitted in analog signals: for digital transmission in an analog channel, the digital signal must first be converted to an analog signal. The solution is as follows: the positive (remaining) string analog signal of a certain frequency is selected as a carrier signal to carry the digital signal to be transmitted. The specific implementation method comprises the following steps: modulation and demodulation. Analog data is transmitted as digital signals: the sending end converts the analog signal into a digital signal through a decoder, and then the receiving end restores the received digital signal into the analog signal through the decoder. The digital data is transmitted as digital signals: data is encoded to improve the efficiency of data transmission and realize the signal synchronization of both communication parties.
At present, in the process of network model transmission, signal quality difference between a signal sender and a signal receiver can cause signal interruption, so that the signal receiver cannot receive signals, when the transmission signal quality is poor, a network can select a transmission channel according to the nearest distance to resend or resend after waiting for manual maintenance.
Disclosure of Invention
The invention aims to provide a data transmission signal detection system and method based on a block chain and the Internet of things, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
a data transmission signal detection system based on a block chain and the Internet of things comprises a transmission signal directional transmission area measurement module, a transmission signal waiting feedback confirmation module, a response signal loss difference analysis module, a transmission signal priority path marking module and an Internet of things service platform, wherein the transmission signal directional transmission area measurement module, the transmission signal waiting feedback confirmation module, the response signal loss difference analysis module and the transmission signal priority path marking module are sequentially connected through an intranet;
the system comprises a transmission signal directional transmission area measuring module, a transmission signal waiting feedback confirming module, a receiving party, a responding signal analyzing module, a responding signal loss difference value analyzing module, a transmission signal priority path marking module and an Internet of things service platform, wherein the transmission signal directional transmission area measuring module is used for monitoring a transmission signal value in a directional transmission channel in the network, the transmission signal waiting feedback confirming module is used for sending a transmission signal to the receiving party by a sending end, the receiving party sends a responding signal after receiving the transmission signal, the sending party waits for confirmation, the responding signal loss difference value analyzing module is used for analyzing the responding signal.
By adopting the technical scheme: the transmission signal directional transmission area measuring module comprises a transmission signal monitoring submodule at different moments and a signal critical value comparison submodule, wherein the transmission signal monitoring submodule at different moments is used for monitoring and analyzing transmission signals of a sending end at different moments, analysis data are sent to the signal critical value comparison submodule, the signal critical value comparison submodule is used for comparing transmission signal analysis data at different moments with a set signal critical value, when the transmission signal analysis data at different moments are lower than the set signal critical value, a monitoring value of the transmission signal is directly sent to an Internet of things service platform for manual feedback, when the transmission signal analysis data at different moments are not lower than the set signal critical value, the transmission signal is sent to a receiving end, and the transmission signal waiting feedback confirming module carries out signal feedback on the signal.
By adopting the technical scheme: the monitoring submodule for transmitting signals at different moments monitors D values of the transmitting terminal at different moments1、D2、D3、…、Dn-1、Dn(unit: dbm), setting the minimum value D of the signal monitoring values at different current momentsnmin is an initial value of an access signal, an average monitoring value of signals at different current moments is set to be DO, and according to a formula:
Figure BDA0002615659530000041
calculating to obtain average monitoring values of signals at different current moments, setting a current signal critical value as [ -90dbm, -50dbm ], when DO is less than or equal to-90 dbm or DO is greater than-50 dbm, directly sending the monitoring value of the transmission signal to an Internet of things service platform for manual feedback, suspending sending the transmission signal, when DO belongs to [ -90dbm, -50dbm), sending the transmission signal to a receiving end, and waiting for a feedback confirmation module to perform signal feedback on the signal.
By adopting the technical scheme: the transmission signal waiting feedback confirmation module comprises a sending end equipment response signal receiving submodule and a secondary inquiry confirmation information sending submodule, wherein the sending end equipment response signal receiving submodule is used for receiving a response signal sent by a signal receiving end after receiving information, a signal sending end confirms the response signal, and the secondary inquiry confirmation information sending submodule is used for inquiring the signal receiving end by sending a secondary confirmation signal after the signal sending end does not receive the response signal sent by the signal receiving end within a specified time.
By adopting the technical scheme: the response signal loss difference analysis module comprises a response signal sectional type loss rate detection submodule and a standby signal transmission channel interference rate analysis switching submodule, wherein the response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiver and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, the loss rate data of the channel is sent to the standby signal transmission channel interference rate analysis switching submodule, the signal sender uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch.
By adopting the technical scheme: the transmission signal priority path marking module comprises a first path signal transmission quality value real-time monitoring submodule and a transmission signal parameter statistical feedback submodule, wherein the first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, the switched standby signal transmission channel is set with a first path, monitoring the signal transmission quality value in the first path, sending the monitoring data to a transmission signal parameter statistic feedback sub-module, wherein the transmission signal parameter statistic feedback sub-module is used for carrying out statistics on the signal transmission quality and the channel interference rate parameter in the channel, and when the signal quality value is lower than a first set threshold and the channel interference rate is higher than a second set threshold, feeding back the transmission signal parameters in the current standby signal transmission channel to the standby signal transmission channel interference rate analysis switching submodule to carry out the switching of the standby channel again.
By adopting the technical scheme: the service platform of the Internet of things comprises a signal parameter real-time acquisition submodule and a manual processing channel, wherein the signal parameter real-time acquisition submodule is used for acquiring current transmission signal measurement data monitored by different modules and interference rates of different transmission channels in real time, and the manual processing channel is used for performing manual processing in time when the channel quality exceeds a critical value.
A data transmission signal detection method based on a block chain and the Internet of things comprises the following steps:
s1: monitoring transmission signal values in directional transmission channels in a network of a transmission signal directional transmission area measurement module, monitoring transmission signals of a sending end at different moments by a transmission signal monitoring submodule, analyzing the transmission signals of the sending end at different moments, sending analysis data to a signal critical value comparison submodule, and comparing the transmission signal analysis data at different moments with a set signal critical value by the signal critical value comparison submodule;
s2: a transmission signal waiting feedback confirmation module is utilized to send a transmission signal to a receiver, the receiver sends a response signal after receiving the transmission signal, the sender waits for confirmation, a response signal receiving submodule of the equipment of the sending end receives the response signal sent by a signal receiving end after receiving information, the signal sender confirms the response signal, a secondary inquiry confirmation information sending submodule does not receive the response signal sent by the signal receiver in a specified time, and the signal receiver sends a secondary confirmation signal for inquiry;
s3: the method comprises the steps that a response signal loss difference value analysis module is used for analyzing a response signal loss value, a response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiving party and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, loss rate data of a channel is sent to a standby signal transmission channel interference rate analysis switching submodule, a signal sending party uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch;
s4: the method comprises the steps that a transmission channel selected by a transmission model is accessed preferentially by a transmission signal priority path marking module, a first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, a first path is set for the switched standby signal transmission channel, the signal transmission quality value in the first path is monitored, monitoring data are sent to a transmission signal parameter statistics feedback submodule, the transmission signal parameter statistics feedback submodule performs statistics on the signal transmission quality and channel interference rate parameters in the channel, and when the signal quality value is lower than a set threshold value I and the channel interference rate is higher than a set threshold value II, the transmission signal parameters in the current standby signal transmission channel are fed back to a standby signal transmission channel interference rate analysis switching submodule to switch the standby channel again;
s5: the service platform of the Internet of things is used for coordinating all the modules and acquiring data, the signal parameter real-time acquisition sub-module acquires the current transmission signal measurement data monitored by different modules and the interference rates of different transmission channels in real time, and the manual processing channel performs manual processing in time when the channel quality exceeds a critical value.
By adopting the technical scheme: in step S1, the method includes monitoring a transmission signal value in a directional transmission channel inside a network of a directional transmission area measurement module for transmission signals, analyzing the transmission signals of a transmitter at different times after monitoring the transmission signals, and sending analysis data to a signal critical value comparison sub-module, which compares the analysis data of the transmission signals at different times with a set signal critical value, and further includes the following steps:
a1, using signal critical value comparison submodule to obtain data of transmission signal monitoring submodule at different time to monitor transmission signal at different time of sending end, comparing monitored transmission signal data with set signal critical value;
a2: when the analysis data of the transmission signals at different moments are lower than a set signal critical value, directly sending the monitoring values of the transmission signals to an Internet of things service platform for manual feedback;
a3: and when the analysis data of the transmission signals at different moments are not lower than the set signal critical value, the transmission signals are sent to a receiving end, and the transmission signal waiting feedback confirmation module performs signal feedback on the signals.
By adopting the technical scheme: in step S3, the method further includes the following steps that a response signal loss difference analysis module is used for analyzing a response signal loss value, a response signal sectional loss rate detection submodule is used for monitoring a response signal sent by a signal receiver in a sectional manner, analyzing loss rates of different sections of the response signal, and when the loss rate is higher than 7%, sending loss rate data of the channel to a standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching:
the response signal sectional type loss rate detection submodule carries out sectional type loss rate monitoring on the current response signal and sets sectional monitoring data with different response signal loss rates as C1、C2、C3、…、Cn-1、CnSetting the basic transmission loss of the current signal to be 5%, according to the formula:
Figure BDA0002615659530000081
when the response signal sectional type loss rate detection submodule meets the formula for the current response signal loss rate sectional type monitoring data, the current signal transmission loss rate is in a reasonable range and is not processed;
when the sectional type loss rate detection submodule of the response signal does not satisfy the formula for the sectional type monitoring data of the current response signal loss rate, extracting the maximum value of the current signal transmission loss rate as Cnmax, setting the interference rate of the current signal transmission channel to be 3%, setting the signal attenuation coefficient in the signal transmission process to be 1%, setting the actual loss rate of the current response signal to be C0, according to the formula:
C0=Cnmax*(1-3%)*(1-1%)
and calculating to obtain the actual loss rate of the response signal, when the actual loss rate of the response signal is less than or equal to 7%, the current signal transmission loss rate is within the signal transmission stable range, sending the actual loss rate of the monitored response signal to the service platform of the Internet of things for manual judgment, and when the actual loss rate of the response signal is greater than 7%, sending the loss rate data of the channel to the standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching.
Compared with the prior art, the invention has the beneficial effects that: the invention aims to detect the parameters of the current signal transmission channel, send the virtual signal to the backup channel, thereby detecting the parameters of the backup channel, and intelligently switch the optimal channel to transmit the signal when the current channel has poor channel quality;
the method comprises the steps that a transmission signal directional transmission area measuring module is used for monitoring a transmission signal value in a directional transmission channel inside a network, a transmission signal waiting feedback confirming module is used for sending a transmission signal to a receiving party by a sending end, the receiving party sends a response signal after receiving the transmission signal, the sending party waits for confirmation, a response signal loss difference analyzing module is used for analyzing a response signal loss value, a transmission signal priority path marking module is used for carrying out priority access on the transmission channel selected by a transmission model, and an internet of things service platform is used for coordinating all modules and acquiring data.
Drawings
In order that the present invention may be more readily and clearly understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
Fig. 1 is a schematic diagram of a block chain and internet of things-based data transmission signal detection system according to the present invention;
fig. 2 is a schematic diagram illustrating steps of a data transmission signal detection method based on a block chain and the internet of things according to the present invention;
fig. 3 is a detailed step diagram of step S1 of the data transmission signal detection method based on the blockchain and the internet of things according to the present invention;
fig. 4 is a schematic diagram of an implementation process of the data transmission signal detection method based on the block chain and the internet of things.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 4, in the embodiment of the present invention, a data transmission signal detection system and method based on a block chain and an internet of things include a transmission signal directional transmission area measurement module, a transmission signal waiting feedback confirmation module, a response signal loss difference analysis module, a transmission signal priority path marking module and an internet of things service platform, where the transmission signal directional transmission area measurement module, the transmission signal waiting feedback confirmation module, the response signal loss difference analysis module and the transmission signal priority path marking module are sequentially connected through an intranet, and the internet of things service platform is respectively connected with the transmission signal directional transmission area measurement module, the response signal loss difference analysis module and the transmission signal priority path marking module through the intranet;
the system comprises a transmission signal directional transmission area measuring module, a transmission signal waiting feedback confirming module, a receiving party, a responding signal analyzing module, a responding signal loss difference value analyzing module, a transmission signal priority path marking module and an Internet of things service platform, wherein the transmission signal directional transmission area measuring module is used for monitoring a transmission signal value in a directional transmission channel in the network, the transmission signal waiting feedback confirming module is used for sending a transmission signal to the receiving party by a sending end, the receiving party sends a responding signal after receiving the transmission signal, the sending party waits for confirmation, the responding signal loss difference value analyzing module is used for analyzing the responding signal.
By adopting the technical scheme: the transmission signal directional transmission area measuring module comprises a transmission signal monitoring submodule at different moments and a signal critical value comparison submodule, wherein the transmission signal monitoring submodule at different moments is used for monitoring and analyzing transmission signals of a sending end at different moments, analysis data are sent to the signal critical value comparison submodule, the signal critical value comparison submodule is used for comparing transmission signal analysis data at different moments with a set signal critical value, when the transmission signal analysis data at different moments are lower than the set signal critical value, a monitoring value of the transmission signal is directly sent to an Internet of things service platform for manual feedback, when the transmission signal analysis data at different moments are not lower than the set signal critical value, the transmission signal is sent to a receiving end, and the transmission signal waiting feedback confirming module carries out signal feedback on the signal.
By adopting the technical scheme: the monitoring submodule for transmitting signals at different moments monitors D values of the transmitting terminal at different moments1、D2、D3、…、Dn-1、Dn(unit: dbm), setting the minimum value D of the signal monitoring values at different current momentsnmin is an initial value of an access signal, an average monitoring value of signals at different current moments is set to be DO, and according to a formula:
Figure BDA0002615659530000121
calculating to obtain average monitoring values of signals at different current moments, setting a current signal critical value as [ -90dbm, -50dbm ], when DO is less than or equal to-90 dbm or DO is greater than-50 dbm, directly sending the monitoring value of the transmission signal to an Internet of things service platform for manual feedback, suspending sending the transmission signal, when DO belongs to [ -90dbm, -50dbm), sending the transmission signal to a receiving end, and waiting for a feedback confirmation module to perform signal feedback on the signal.
By adopting the technical scheme: the transmission signal waiting feedback confirmation module comprises a sending end equipment response signal receiving submodule and a secondary inquiry confirmation information sending submodule, wherein the sending end equipment response signal receiving submodule is used for receiving a response signal sent by a signal receiving end after receiving information, a signal sending end confirms the response signal, and the secondary inquiry confirmation information sending submodule is used for inquiring the signal receiving end by sending a secondary confirmation signal after the signal sending end does not receive the response signal sent by the signal receiving end within a specified time.
By adopting the technical scheme: the response signal loss difference analysis module comprises a response signal sectional type loss rate detection submodule and a standby signal transmission channel interference rate analysis switching submodule, wherein the response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiver and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, the loss rate data of the channel is sent to the standby signal transmission channel interference rate analysis switching submodule, the signal sender uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch.
By adopting the technical scheme: the transmission signal priority path marking module comprises a first path signal transmission quality value real-time monitoring submodule and a transmission signal parameter statistical feedback submodule, wherein the first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, the switched standby signal transmission channel is set with a first path, monitoring the signal transmission quality value in the first path, sending the monitoring data to a transmission signal parameter statistic feedback sub-module, wherein the transmission signal parameter statistic feedback sub-module is used for carrying out statistics on the signal transmission quality and the channel interference rate parameter in the channel, and when the signal quality value is lower than a first set threshold and the channel interference rate is higher than a second set threshold, feeding back the transmission signal parameters in the current standby signal transmission channel to the standby signal transmission channel interference rate analysis switching submodule to carry out the switching of the standby channel again.
By adopting the technical scheme: the service platform of the Internet of things comprises a signal parameter real-time acquisition submodule and a manual processing channel, wherein the signal parameter real-time acquisition submodule is used for acquiring current transmission signal measurement data monitored by different modules and interference rates of different transmission channels in real time, and the manual processing channel is used for performing manual processing in time when the channel quality exceeds a critical value.
A data transmission signal detection method based on a block chain and the Internet of things comprises the following steps:
s1: monitoring transmission signal values in directional transmission channels in a network of a transmission signal directional transmission area measurement module, monitoring transmission signals of a sending end at different moments by a transmission signal monitoring submodule, analyzing the transmission signals of the sending end at different moments, sending analysis data to a signal critical value comparison submodule, and comparing the transmission signal analysis data at different moments with a set signal critical value by the signal critical value comparison submodule;
s2: a transmission signal waiting feedback confirmation module is utilized to send a transmission signal to a receiver, the receiver sends a response signal after receiving the transmission signal, the sender waits for confirmation, a response signal receiving submodule of the equipment of the sending end receives the response signal sent by a signal receiving end after receiving information, the signal sender confirms the response signal, a secondary inquiry confirmation information sending submodule does not receive the response signal sent by the signal receiver in a specified time, and the signal receiver sends a secondary confirmation signal for inquiry;
s3: the method comprises the steps that a response signal loss difference value analysis module is used for analyzing a response signal loss value, a response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiving party and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, loss rate data of a channel is sent to a standby signal transmission channel interference rate analysis switching submodule, a signal sending party uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch;
s4: the method comprises the steps that a transmission channel selected by a transmission model is accessed preferentially by a transmission signal priority path marking module, a first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, a first path is set for the switched standby signal transmission channel, the signal transmission quality value in the first path is monitored, monitoring data are sent to a transmission signal parameter statistics feedback submodule, the transmission signal parameter statistics feedback submodule performs statistics on the signal transmission quality and channel interference rate parameters in the channel, and when the signal quality value is lower than a set threshold value I and the channel interference rate is higher than a set threshold value II, the transmission signal parameters in the current standby signal transmission channel are fed back to a standby signal transmission channel interference rate analysis switching submodule to switch the standby channel again;
s5: the service platform of the Internet of things is used for coordinating all the modules and acquiring data, the signal parameter real-time acquisition sub-module acquires the current transmission signal measurement data monitored by different modules and the interference rates of different transmission channels in real time, and the manual processing channel performs manual processing in time when the channel quality exceeds a critical value.
By adopting the technical scheme: in step S1, the method includes monitoring a transmission signal value in a directional transmission channel inside a network of a directional transmission area measurement module for transmission signals, analyzing the transmission signals of a transmitter at different times after monitoring the transmission signals, and sending analysis data to a signal critical value comparison sub-module, which compares the analysis data of the transmission signals at different times with a set signal critical value, and further includes the following steps:
a1, using signal critical value comparison submodule to obtain data of transmission signal monitoring submodule at different time to monitor transmission signal at different time of sending end, comparing monitored transmission signal data with set signal critical value;
a2: when the analysis data of the transmission signals at different moments are lower than a set signal critical value, directly sending the monitoring values of the transmission signals to an Internet of things service platform for manual feedback;
a3: and when the analysis data of the transmission signals at different moments are not lower than the set signal critical value, the transmission signals are sent to a receiving end, and the transmission signal waiting feedback confirmation module performs signal feedback on the signals.
By adopting the technical scheme: in step S3, the method further includes the following steps that a response signal loss difference analysis module is used for analyzing a response signal loss value, a response signal sectional loss rate detection submodule is used for monitoring a response signal sent by a signal receiver in a sectional manner, analyzing loss rates of different sections of the response signal, and when the loss rate is higher than 7%, sending loss rate data of the channel to a standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching:
the response signal sectional type loss rate detection submodule carries out sectional type loss rate monitoring on the current response signal and sets sectional monitoring data with different response signal loss rates as C1、C2、C3、…、Cn-1、CnSetting the basic transmission loss of the current signal to be 5%, according to the formula:
Figure BDA0002615659530000161
when the response signal sectional type loss rate detection submodule meets the formula for the current response signal loss rate sectional type monitoring data, the current signal transmission loss rate is in a reasonable range and is not processed;
when response signal sectional type loss rate detection submodule responds to currentThe sectional type monitoring data of the signal loss rate does not satisfy the formula, and the maximum value of the current signal transmission loss rate is extracted as Cnmax, setting the interference rate of the current signal transmission channel to be 3%, setting the signal attenuation coefficient in the signal transmission process to be 1%, setting the actual loss rate of the current response signal to be C0, according to the formula:
C0=Cnmax*(1-3%)*(1-1%)
and calculating to obtain the actual loss rate of the response signal, when the actual loss rate of the response signal is less than or equal to 7%, the current signal transmission loss rate is within the signal transmission stable range, sending the actual loss rate of the monitored response signal to the service platform of the Internet of things for manual judgment, and when the actual loss rate of the response signal is greater than 7%, sending the loss rate data of the channel to the standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching.
Example 1: and (2) limiting conditions, wherein monitoring values of different moments of signals transmitted by the transmitting terminal by the transmission signal monitoring submodules at different moments are-85 dbm, -70dbm, -78dbm, -65dbm and-59 dbm, the minimum value-85 dbm of the monitoring values of the signals at different moments is set as an initial value of an access signal, the average monitoring value of the signals at different moments is set as DO, and according to a formula:
Figure BDA0002615659530000171
calculating to obtain the average monitoring value of the signals at different current moments as-68 dbm, setting the critical value of the current signals as [ -90dbm, -50dbm), and when-68 dbm belongs to [ -90dbm, -50dbm), sending the transmission signals to a receiving end, and waiting for a feedback confirmation module to perform signal feedback on the signals.
Example 2: limiting conditions, carrying out loss rate sectional monitoring on the current response signal by a response signal sectional type loss rate detection submodule, setting different sectional monitoring data of the loss rate of the response signal to be 1%, 2% and 4%, setting the basic transmission loss of the current signal to be 5%, and according to a formula:
Figure BDA0002615659530000181
the response signal sectional type loss rate detection submodule meets the formula for the current response signal loss rate sectional type monitoring data, and the current signal transmission loss rate is in a reasonable range and is not processed;
example 3: limiting conditions, carrying out loss rate sectional monitoring on the current response signal by a response signal sectional type loss rate detection submodule, setting different sectional monitoring data of the loss rate of the response signal to be 1%, 3%, 5% and 8%, setting the basic transmission loss of the current signal to be 5%, and according to a formula:
Figure BDA0002615659530000182
the response signal sectional type loss rate detection submodule does not satisfy the formula for the current response signal loss rate sectional type monitoring data, extracts the maximum value of the current signal transmission loss rate to be 8%, sets the interference rate of the current signal transmission channel to be 3%, sets the signal attenuation coefficient in the signal transmission process to be 1%, sets the actual loss rate of the current response signal to be C0, according to the formula:
C0=8%*(1-3%)*(1-1%)≈7.7%
and calculating to obtain the actual loss rate of the response signal of 7.7 percent, wherein the actual loss rate of the response signal of 7.7 percent is more than 7 percent, and sending the loss rate data of the channel to the standby signal transmission channel interference rate analysis switching submodule to switch the signal transmission channel.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (7)

1. The utility model provides a data transmission signal detecting system based on block chain and thing networking which characterized in that: the system comprises a transmission signal directional transmission area measuring module, a transmission signal waiting feedback confirmation module, a response signal loss difference analyzing module, a transmission signal priority path marking module and an Internet of things service platform, wherein the transmission signal directional transmission area measuring module, the transmission signal waiting feedback confirmation module, the response signal loss difference analyzing module and the transmission signal priority path marking module are sequentially connected through an intranet;
the system comprises a transmission signal directional transmission area measurement module, a transmission signal waiting feedback confirmation module, a receiving party, a sending party and a response signal analyzing module, wherein the transmission signal directional transmission area measurement module is used for monitoring a transmission signal value in a directional transmission channel in a network;
the response signal loss difference analysis module comprises a response signal sectional type loss rate detection submodule and a standby signal transmission channel interference rate analysis switching submodule, wherein the response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiver and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, the loss rate data of the channel is sent to the standby signal transmission channel interference rate analysis switching submodule, a signal sender uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch;
the transmission signal priority path marking module comprises a first path signal transmission quality value real-time monitoring submodule and a transmission signal parameter statistical feedback submodule, wherein the first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, the switched standby signal transmission channel is set with a first path, monitoring the signal transmission quality value in the first path, sending the monitoring data to a transmission signal parameter statistic feedback sub-module, wherein the transmission signal parameter statistic feedback sub-module is used for carrying out statistics on the signal transmission quality and the channel interference rate parameter in the channel, and when the signal quality value is lower than a first set threshold and the channel interference rate is higher than a second set threshold, feeding back the transmission signal parameters in the current standby signal transmission channel to the standby signal transmission channel interference rate analysis switching submodule to carry out the switching of the standby channel again.
2. The system according to claim 1, wherein the system comprises: the transmission signal directional transmission area measuring module comprises a transmission signal monitoring submodule at different moments and a signal critical value comparison submodule, wherein the transmission signal monitoring submodule at different moments is used for monitoring and analyzing transmission signals of a sending end at different moments, analysis data are sent to the signal critical value comparison submodule, the signal critical value comparison submodule is used for comparing transmission signal analysis data at different moments with a set signal critical value, when the transmission signal analysis data at different moments are lower than the set signal critical value, a monitoring value of the transmission signal is directly sent to an Internet of things service platform for manual feedback, when the transmission signal analysis data at different moments are not lower than the set signal critical value, the transmission signal is sent to a receiving end, and the transmission signal waiting feedback confirming module carries out signal feedback on the signal.
3. A block chain based sum according to claim 2Data transmission signal detection system of thing networking, its characterized in that: the monitoring submodule for transmitting signals at different moments monitors D values of the transmitting terminal at different moments1、D2、D3、…、Dn-1、Dn(unit: dbm), setting the minimum value D of the signal monitoring values at different current momentsnmin is an initial value of an access signal, an average monitoring value of signals at different current moments is set to be DO, and according to a formula:
Figure FDA0002953352090000031
calculating to obtain average monitoring values of signals at different current moments, setting a current signal critical value as [ -90dbm, -50dbm ], when DO is less than or equal to-90 dbm or DO is greater than-50 dbm, directly sending the monitoring value of the transmission signal to an Internet of things service platform for manual feedback, suspending sending the transmission signal, when DO belongs to [ -90dbm, -50dbm), sending the transmission signal to a receiving end, and waiting for a feedback confirmation module to perform signal feedback on the signal.
4. The system according to claim 1, wherein the system comprises: the transmission signal waiting feedback confirmation module comprises a sending end equipment response signal receiving submodule and a secondary inquiry confirmation information sending submodule, wherein the sending end equipment response signal receiving submodule is used for receiving a response signal sent by a signal receiving end after receiving information, a signal sending end confirms the response signal, and the secondary inquiry confirmation information sending submodule is used for inquiring the signal receiving end by sending a secondary confirmation signal after the signal sending end does not receive the response signal sent by the signal receiving end within a specified time.
5. The system according to claim 1, wherein the system comprises: the service platform of the Internet of things comprises a signal parameter real-time acquisition submodule and a manual processing channel, wherein the signal parameter real-time acquisition submodule is used for acquiring current transmission signal measurement data monitored by different modules and interference rates of different transmission channels in real time, and the manual processing channel is used for performing manual processing in time when the channel quality exceeds a critical value.
6. A data transmission signal detection method based on a block chain and the Internet of things is characterized in that:
s1: monitoring transmission signal values in directional transmission channels in a network of a transmission signal directional transmission area measurement module, monitoring transmission signals of a sending end at different moments by a transmission signal monitoring submodule, analyzing the transmission signals of the sending end at different moments, sending analysis data to a signal critical value comparison submodule, and comparing the transmission signal analysis data at different moments with a set signal critical value by the signal critical value comparison submodule;
s2: a transmission signal waiting feedback confirmation module is utilized to send a transmission signal to a receiver, the receiver sends a response signal after receiving the transmission signal, the sender waits for confirmation, a response signal receiving submodule of the equipment of the sending end receives the response signal sent by a signal receiving end after receiving information, the signal sender confirms the response signal, a secondary inquiry confirmation information sending submodule does not receive the response signal sent by the signal receiver in a specified time, and the signal receiver sends a secondary confirmation signal for inquiry;
s3: the method comprises the steps that a response signal loss difference value analysis module is used for analyzing a response signal loss value, a response signal sectional type loss rate detection submodule is used for carrying out sectional type monitoring on a response signal sent by a signal receiving party and analyzing the loss rate of different sections of the response signal, when the loss rate is higher than 7%, loss rate data of a channel is sent to a standby signal transmission channel interference rate analysis switching submodule, a signal sending party uniformly sends virtual signals to all standby signal transmission channels and monitors the virtual signal interference rate of the standby signal transmission channels, and the standby signal transmission channel interference rate analysis switching submodule is used for sequencing the virtual signal interference rate and selecting the standby signal transmission channel with the lowest virtual signal interference rate to switch;
s4: the method comprises the steps that a transmission channel selected by a transmission model is accessed preferentially by a transmission signal priority path marking module, a first path signal transmission quality value real-time monitoring submodule is used for accessing a switched standby signal transmission channel, a first path is set for the switched standby signal transmission channel, the signal transmission quality value in the first path is monitored, monitoring data are sent to a transmission signal parameter statistics feedback submodule, the transmission signal parameter statistics feedback submodule performs statistics on the signal transmission quality and channel interference rate parameters in the channel, and when the signal quality value is lower than a set threshold value I and the channel interference rate is higher than a set threshold value II, the transmission signal parameters in the current standby signal transmission channel are fed back to a standby signal transmission channel interference rate analysis switching submodule to switch the standby channel again;
s5: the service platform of the Internet of things is used for coordinating all modules and acquiring data, the signal parameter real-time acquisition sub-module acquires the current transmission signal measurement data monitored by different modules and the interference rates of different transmission channels in real time, and the manual processing channel performs manual processing in time when the channel quality exceeds a critical value;
in step S3, the method further includes the following steps that a response signal loss difference analysis module is used for analyzing a response signal loss value, a response signal sectional loss rate detection submodule is used for monitoring a response signal sent by a signal receiver in a sectional manner, analyzing loss rates of different sections of the response signal, and when the loss rate is higher than 7%, sending loss rate data of the channel to a standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching:
the response signal sectional type loss rate detection submodule carries out sectional type loss rate monitoring on the current response signal and sets sectional monitoring data with different response signal loss rates as C1、C2、C3、…、Cn-1、CnSetting the basic transmission loss of the current signal to be 5%, according to the formula:
Figure FDA0002953352090000061
when the response signal sectional type loss rate detection submodule meets the formula for the current response signal loss rate sectional type monitoring data, the current signal transmission loss rate is in a reasonable range and is not processed;
when the sectional type loss rate detection submodule of the response signal does not satisfy the formula for the sectional type monitoring data of the current response signal loss rate, extracting the maximum value of the current signal transmission loss rate as Cnmax, setting the interference rate of the current signal transmission channel to be 3%, setting the signal attenuation coefficient in the signal transmission process to be 1%, setting the actual loss rate of the current response signal to be C0, according to the formula:
C0=Cnmax*(1-3%)*(1-1%)
and calculating to obtain the actual loss rate of the response signal, when the actual loss rate of the response signal is less than or equal to 7%, the current signal transmission loss rate is within the signal transmission stable range, sending the actual loss rate of the monitored response signal to the service platform of the Internet of things for manual judgment, and when the actual loss rate of the response signal is greater than 7%, sending the loss rate data of the channel to the standby signal transmission channel interference rate analysis switching submodule for signal transmission channel switching.
7. The method for detecting the data transmission signal based on the blockchain and the internet of things according to claim 6, wherein the method comprises the following steps: in step S1, the method includes monitoring a transmission signal value in a directional transmission channel inside a network of a directional transmission area measurement module for transmission signals, analyzing the transmission signals of a transmitter at different times after monitoring the transmission signals, and sending analysis data to a signal critical value comparison sub-module, which compares the analysis data of the transmission signals at different times with a set signal critical value, and further includes the following steps:
a1, using signal critical value comparison submodule to obtain data of transmission signal monitoring submodule at different time to monitor transmission signal at different time of sending end, comparing monitored transmission signal data with set signal critical value;
a2: when the analysis data of the transmission signals at different moments are lower than a set signal critical value, directly sending the monitoring values of the transmission signals to an Internet of things service platform for manual feedback;
a3: and when the analysis data of the transmission signals at different moments are not lower than the set signal critical value, the transmission signals are sent to a receiving end, and the transmission signal waiting feedback confirmation module performs signal feedback on the signals.
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