CN114500615A - Intelligent terminal based on thing allies oneself with sensing technology - Google Patents
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Abstract
The invention relates to the technical field of sensors of the Internet of things, and aims to solve the problems that in the management process of the sensors of the Internet of things, the control mode of the existing intelligent terminal has large one-sidedness and error, the stability of information exchange of the sensors of the Internet of things is difficult to ensure, and the accurate pre-judgment analysis of the data delay of the sensors of the Internet of things is difficult to realize, so that the efficient development of the sensing technology of the Internet of things is greatly hindered; according to the invention, the running state of the sensor of the Internet of things is accurately analyzed from different layers, the comprehensiveness and the accuracy of the management and control of the sensor of the Internet of things are improved, and the high-efficiency development of the sensing technology industry of the Internet of things is promoted.
Description
Technical Field
The invention relates to the technical field of sensors of the Internet of things, in particular to an intelligent terminal based on the technology of sensing of the Internet of things.
Background
The internet of things sensing technology is also called as internet of things sensor technology, and is a network for connecting any article with the internet to exchange and communicate information according to an agreed protocol through information sensing equipment such as Radio Frequency Identification (RFID), an infrared sensor, a global positioning system, a laser scanner and the like so as to realize intelligent identification, positioning, tracking, monitoring and management, so that the intelligent management and control of the internet of things sensing technology are very important;
however, in the management process of the internet of things sensor, most of the existing intelligent terminals only can monitor and control the appearance condition of the internet of things sensor, and cannot efficiently monitor and analyze the running state of the internet of things sensor, so that the control mode of the internet of things sensor technology has large one-sidedness and error, the stability of information exchange of the internet of things sensor is difficult to ensure, accurate pre-judgment analysis of data delay of the internet of things sensor is difficult to realize, and real control of the internet of things sensor is impossible to realize, so that the development of the internet of things sensor technology is greatly hindered;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the high-efficiency development of the IOT sensing technology is greatly hindered due to the fact that the stability of information exchange of the IOT sensor is difficult to guarantee and the accurate pre-judgment analysis on the data delay of the IOT sensor is difficult to realize and the real control on the IOT sensor cannot be realized in the management process of the IOT sensor by the existing intelligent terminal, the operation states of a plurality of IOT sensors are integrated and analyzed by means of symbol calibration, model establishment and data analysis, the initial pre-judgment analysis on the overall operation state condition of the IOT sensor is further carried out, and the operation state efficiency of the IOT sensor is accurately analyzed from different levels and angles by means of formulaic processing, threshold value substitution comparison and signal cross judgment, therefore, when the high-efficiency management and control and monitoring of the IOT sensor are realized, the comprehensiveness and the accuracy of the management and control of the IOT sensor are promoted, the management and control analysis of the operation efficiency of the IOT sensor in the real sense is realized, the stability of the information exchange of the IOT sensor is ensured, the high-efficiency development of the IOT sensing technology industry is greatly promoted, and the intelligent terminal based on the IOT sensing technology is provided.
The purpose of the invention can be realized by the following technical scheme:
the intelligent terminal based on the internet of things sensing technology comprises a terminal control platform, wherein a server is arranged in the terminal control platform, and the server is in communication connection with a data acquisition unit, a delay analysis unit, an integration demonstration unit, a distribution demonstration unit, an early warning output unit and a display terminal;
the terminal management and control analysis platform is used for analyzing the operation efficiency of each Internet of things sensor in each Internet of things sensing technology, acquiring data operation information of each Internet of things sensor through the data acquisition unit and respectively sending the data operation information to the delay analysis unit, the integration demonstration unit and the distribution demonstration unit, wherein the delay analysis unit is used for carrying out delay layer directional analysis processing on the received data operation information of each Internet of things sensor, generating a normal delay signal and an abnormal delay signal according to the delay information, sending the normal delay signal to the integration demonstration unit and sending the abnormal delay signal to the distribution demonstration unit;
the integration demonstration unit is used for receiving the normal delay signal, calling data operation information of each sensor of the Internet of things according to the normal delay signal, performing data integration analysis processing, generating a high-level operation judgment signal, a medium-level operation judgment signal and a low-level operation judgment signal according to the data integration analysis processing, and sending the high-level operation judgment signal, the medium-level operation judgment signal and the low-level operation judgment signal to the early warning output unit;
the distribution demonstration unit is used for receiving the abnormal delay signals, calling the data operation information of each sensor of the Internet of things according to the abnormal delay signals, carrying out item-by-item prejudgment analysis processing on the data operation information, generating high-level operation judgment signals, middle-level operation judgment signals and low-level operation judgment signals according to the data operation information, and sending the high-level operation judgment signals, the middle-level operation judgment signals and the low-level operation judgment signals to the early warning output unit;
the early warning output unit judges, analyzes and processes the received operation judgment signals of all levels, generates low-level warning signals, middle-level warning signals and high-level warning signals according to the judgment signals, and sends the low-level warning signals, the middle-level warning signals and the high-level warning signals to the display terminal in a text word description mode to display and explain the low-level warning signals, the middle-level warning signals and the high-level warning signals.
Further, the data operation information comprises a conversion value, an execution value, a transmission value and a response value.
Further, the specific operation steps of the delay level oriented analysis processing are as follows:
s1: capturing response quantity values in data operation information of all the internet of things sensors at the same time point, calibrating the response quantity values into xyli, carrying out mean value analysis on the response quantity values of all the internet of things sensors at the same time point, and obtaining a mean value response coefficient Jxyl, wherein i is {1, 2, 3 … n };
s2: setting a time interval value j for the operation of each Internet of things sensor, wherein j is {1, 2, 3 … m }, capturing the response quantity value xylij of each Internet of things sensor in the time interval value, and performing model comparison analysis processing on the response quantity value xylij of each Internet of things sensor in the time interval value to generate an efficient response value, a normal response value and an inefficient response value;
s3: according to step S2, the high-efficiency response value, the normal response value, and the low-efficiency response value generated by each internet of things sensor are subjected to data statistical analysis, and a normal delay signal and an abnormal delay signal are generated accordingly.
Further, the specific operation steps of the model comparison analysis processing are as follows:
taking time as an abscissa and response magnitude as an ordinate, establishing a dynamic rectangular coordinate system according to the time, and drawing a mean response coefficient Jxyl as a reference line on the dynamic rectangular coordinate system, namely Y is Jxyl;
and the response quantity value of each internet of things sensor in the time interval value is drawn on a dynamic rectangular coordinate system in a point drawing mode, the response quantity value above the reference line Y-Jxyl is calibrated to be an inefficient response value, the converted quantity value above the reference line Y-Jxyl is calibrated to be a normal response value, and the response quantity value above the reference line Y-Jxyl is calibrated to be an efficient response value.
Further, the specific operation steps of the data statistical analysis processing are as follows:
respectively counting the number sum of high-efficiency response values, normal response values and low-efficiency response values of the sensors of the Internet of things in the time interval value, and respectively marking the high-efficiency response values, the normal response values and the low-efficiency response values as Sy1i, Sy2i and Sy3i, if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than Sy3i, marking the corresponding sensors of the Internet of things as positive response signals, and if Sy1i is more than Sy2i + Sy3i or Sy1i + Sy2i is more than or equal to Sy3i, marking the corresponding sensors of the Internet of things as negative response signals;
counting the number of the sensors of the internet of things which are calibrated to be positive response signals and negative response signals in the n sensors of the internet of things, calibrating the number of the sensors of the internet of things which are calibrated to be the positive response signals to be SL1, calibrating the number of the sensors of the internet of things which are calibrated to be the negative response signals to be SL2, generating normal delay signals if SL1 is larger than SL2, and generating abnormal delay signals if SL1 is larger than or equal to SL 2.
Further, the specific operation steps of the data integration analysis processing are as follows:
when a normal delay signal is received, calling a conversion value, an execution value, a transmission value and a response value in data operation information of each internet of things sensor, respectively marking the conversion value, the execution value, the transmission value and the response value as zhli, zxli, csli and xyli, and performing formula processing on the conversion value, the execution value, the transmission value and the response value, and obtaining an operation coefficient Yani of each internet of things sensor according to a formula Yani-e 3 × csli ÷ (e 1 × zhli + e2 × zxli + e4 × xyli), wherein e1, e2, e3 and e4 are weight factor coefficients of the conversion value, the execution value, the transmission value and the response value respectively, and e4 > e2 > e1 > e3 > 0, e1 + e2 e3 + e4 is 3.025;
setting a delay reference interval value Yu1, comparing and analyzing the delay reference interval value Yu1 with the operation coefficient Yani of each Internet of things sensor, generating positive signals when the operation coefficient Yani is in the range of the delay reference interval value Yu1 or when the operation coefficient Yani is larger than the maximum value of the delay reference interval value Yu1, and generating negative signals when the operation coefficient Yani is smaller than the minimum value of the delay reference interval value Yu 1;
counting the number sum of each type of signals, generating a high-level operation judgment signal when the number sum of positive signals is greater than the number sum of negative signals, generating a medium-level operation judgment signal when the number sum of positive signals is equal to the number sum of negative signals, and generating a low-level operation judgment signal when the number sum of positive signals is less than the number sum of negative signals.
Further, the specific operation steps of item-by-item pre-judging analysis processing are as follows:
when the abnormal delay signal is received, a conversion value zhli, an execution value zxli and a transmission value csli in the data operation information of each internet of things sensor are called and are compared and analyzed with corresponding preset reference values Ca1, Ca2 and Ca3 respectively;
when the conversion value zhli is smaller than or equal to the corresponding preset reference value Ca1, generating a conversion qualified signal, when the conversion value zhli is larger than the corresponding preset reference value Ca1, generating a conversion unqualified signal, when the execution value zxli is smaller than or equal to the corresponding preset reference value Ca2, generating an execution unqualified signal, when the execution value zxli is larger than the corresponding preset reference value Ca2, generating a transmission qualified signal, when the transmission value csli is larger than or equal to the corresponding preset reference value Ca3, and when the transmission value csli is smaller than the corresponding preset reference value Ca3, generating a transmission unqualified signal;
and performing cross set analysis processing on the generated signals to generate a high-level operation judgment signal, a medium-level operation judgment signal and a low-level operation judgment signal.
Further, the specific operation steps of the cross set analysis processing are as follows:
recording the conversion qualified signal and the conversion unqualified signal as H-1 and H-2 respectively, recording the execution qualified signal and the execution unqualified signal as X-1 and X-2 respectively, and recording the transmission qualified signal and the transmission unqualified signal as S-1 and S-2 respectively;
if the simultaneously acquired signals satisfy H-1. n.X-1. n.S-1, high-level operation determination signals are generated, if the simultaneously acquired signals satisfy H-1. n.X-2. n.S-1, H-2. n.X-1. n.S-1, or H-1. n.X-1. n.S-2, middle-level operation determination signals are generated, and otherwise, low-level operation determination signals are generated.
Further, the specific operation steps of the judgment analysis processing are as follows:
when receiving the high-level operation judgment signal, generating a low-level warning signal, and sending a text word of 'the working state of each current sensor of the internet of things is in a relatively efficient and stable operation level stage without organizing any measures' to a display terminal;
when a middle-level operation judgment signal is received, a middle-level warning signal is generated, and text characters of 'the current working state of each Internet of things sensor is in a normal operation level stage, and no measures need to be organized' are sent to a display terminal;
when a low-level operation judgment signal is received, a high-level warning signal is generated, and text characters of 'the current work of each internet of things sensor is in a low-efficiency operation level stage and management and control measures need to be organized' are sent to a display terminal.
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the method, the state condition of the response quantity value of each Internet of things sensor is accurately analyzed in the modes of symbolic calibration, coordinate model establishment and data statistical analysis, so that the data delay state condition of each Internet of things sensor is further clarified, and the operation states of the plurality of Internet of things sensors are integrated and analyzed in combination with the modes of classification summation, data comparison and signal output, so that the foundation is laid for subsequent deep management and control analysis of the Internet of things sensing technology while the initial pre-judgment analysis is carried out on the overall operation state condition of the Internet of things sensors;
(2) according to the method, the operation efficiency of the sensor of the Internet of things is accurately and comprehensively judged and analyzed from the data analysis layer through the modes of symbolic calibration, formulaic processing, threshold value substitution comparison and data signal output, so that the comprehensiveness and the accuracy of the management and control of the sensor of the Internet of things are promoted while the high-efficiency management and control and monitoring of the sensor of the Internet of things are realized, the management and control analysis of the operation efficiency of the sensor of the Internet of things in a real sense is realized, and the high-efficiency development of the industry of the sensing technology of the Internet of things is greatly promoted;
(3) according to the method, the operating efficiency of the sensor of the Internet of things is accurately and comprehensively judged and analyzed from the aspect of signal-by-signal comparison and analysis by means of symbol calibration, reference value setting and signal cross judgment, so that the accurate pre-judgment analysis of the data delay of the sensor of the Internet of things is realized while the operating state of the sensor of the Internet of things is efficiently monitored and analyzed, the stability of information exchange of the sensor of the Internet of things is further ensured, and the development and application of the sensor technology of the Internet of things are promoted.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a schematic diagram of a rectangular coordinate system of the delay level orientation analysis processing step of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, the intelligent terminal based on the internet of things sensing technology comprises a terminal control platform, wherein a server is arranged in the terminal control platform, and the server is in communication connection with a data acquisition unit, a delay analysis unit, an integration demonstration unit, a distribution demonstration unit, an early warning output unit and a display terminal;
the terminal management and control analysis platform is used for analyzing the operating efficiency of each Internet of things sensor in each Internet of things sensing technology, acquiring data operating information of each Internet of things sensor through the data acquisition unit and respectively sending the data operating information to the delay analysis unit and the integration demonstration unit;
the data operation information is used for representing a type of data information of the operating efficiency of the sensor of the Internet of things, and comprises a conversion value, an execution value, a transmission value and a response value;
when the delay analysis unit receives the data operation information of each sensor of the internet of things to perform delay layer directional analysis processing, the specific operation process is as follows:
capturing response quantity values in data operation information of the sensors of the internet of things at the same time point, calibrating the response quantity values into xyli, carrying out mean value analysis on the response quantity values of the sensors of the internet of things at the same time point, and obtaining a mean value response coefficient Jxyl according to a formula Jxyl (xyl 1 + xyl2 + … … + xyln) ÷ n, wherein i is {1, 2, 3 … n }, wherein i represents the number of the sensors of the internet of things and is a positive integer greater than or equal to 1;
it should be further noted that the response quantity value is a data quantity value representing the length of the response time of the internet of things sensor for analyzing and interpreting the received analog signal in unit time, and it should be noted that the smaller the expression value of the response quantity value, the faster the response speed of the internet of things sensor is, and further the higher the operating efficiency of the internet of things sensor is;
setting a time interval value j for the operation of each internet of things sensor, wherein j is {1, 2, 3 … m }, wherein j represents the number of time points, the time interval value is composed of a plurality of real-time points, j is a positive integer greater than or equal to 1, and captures a response quantity value xylij of each internet of things sensor in the time interval value, and performing model comparison analysis processing on the response quantity value xylij of each internet of things sensor in the time interval value, and the specific operation process is as follows:
as shown in fig. 2, the time is used as the abscissa, the response value is used as the ordinate, and a dynamic rectangular coordinate system is established based on the time, and the mean response coefficient Jxyl is plotted as a reference line on the dynamic rectangular coordinate system, i.e., Y ═ Jxyl;
the response quantity values of the sensors of the internet of things in the time interval value are drawn on a dynamic rectangular coordinate system in a point drawing mode, the response quantity values above a reference line Y (Jxyl) are calibrated to be low-efficiency response values, the conversion quantity values above the reference line Y (Jxyl) are calibrated to be normal response values, and the response quantity values above the reference line Y (Jxyl) are calibrated to be high-efficiency response values;
the method comprises the following steps of carrying out data statistical analysis processing on efficient response values, normal response values and inefficient response values generated by various sensors of the Internet of things, wherein the specific operation process is as follows:
respectively counting the quantity sum of high-efficiency response values, normal response values and low-efficiency response values of the sensors of the Internet of things in the time interval values, and respectively marking the high-efficiency response values, the normal response values and the low-efficiency response values as Sy1i, Sy2i and Sy3i, if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than Sy3i, marking the corresponding sensors of the Internet of things as positive response signals, and if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than or equal to Sy3i, marking the corresponding sensors of the Internet of things as negative response signals;
counting the number of the sensors of the internet of things which are calibrated to be positive response signals and negative response signals in the n sensors of the internet of things, calibrating the number of the sensors of the internet of things which are calibrated to be the positive response signals to be SL1, calibrating the number of the sensors of the internet of things which are calibrated to be the negative response signals to be SL2, and if the number of SL1 is larger than SL2, generating normal delay signals;
and normal delay signals are sent to the integration demonstration unit, when the integration demonstration unit receives the normal delay signals, data operation information of the sensors of the internet of things is called according to the normal delay signals to carry out data integration analysis processing, and the specific operation process is as follows:
when a normal delay signal is received, calling a conversion value, an execution value, a transmission value and a response value in data operation information of each internet of things sensor, respectively marking the conversion value, the execution value, the transmission value and the response value as zhli, zxli, csli and xyli, and performing formulary processing on the conversion value, the execution value, the transmission value and the response value, obtaining an operation coefficient Yani of each internet of things sensor according to a formula Yani-e 3 × csli ÷ (e 1 × zhli + e2 × zhli + e4 × xyli), wherein the operation coefficient Yani of the current internet of things sensor is better when an expression value of the operation coefficient Yani is larger, wherein e1, e2, e3 and e4 are respectively weight factors of the conversion value, the execution value, the transmission value and the response value, and e4 > e2 > e3 > 0, and e1 + 2 e + 3 + 4.025;
it should be noted that the conversion value is used for representing a data value of a time length used by the internet of things sensor to convert the analog signal into the digital signal in one data conversion, wherein when an expression numerical value of the conversion value is smaller, the conversion efficiency of the internet of things sensor is higher, and further the operation efficiency of the internet of things sensor is higher;
the execution quantity value is used for representing a data quantity value of the time used by the sensor of the internet of things for executing one-time information exchange communication, wherein the smaller the expression value of the execution quantity value is, the higher the execution efficiency of the sensor of the internet of things is, and further the higher the operation efficiency of the sensor of the internet of things is, and the transmission quantity value is used for representing a data quantity value of the capacity of a data signal transmitted when the sensor of the internet of things sends and receives one-time data signal;
it should be further noted that the weighting factor coefficients are used to balance the proportion weight of each item of data in the formula calculation, thereby promoting the accuracy of the calculation result, specifically expressed as the importance degree of the conversion value, the execution value, the transmission value and the response value relative to the operation coefficient;
such as the formula: yani-e 3 × csli ÷ (e 1 × zhli + e2 × zhxli + e4 × xyli), and a person skilled in the art collects multiple groups of sample data and sets a corresponding weight factor coefficient for each group of sample data; substituting the set weight factor coefficient and the acquired sample data into a formula, forming a quaternary linear equation set by any four formulas, screening the calculated coefficients and taking the average value to obtain values of e1, e2, e3 and e4 which are respectively 0.348, 0.602, 0.6988 and 1.3762;
setting a delay reference interval value Yu1, comparing and analyzing the delay reference interval value Yu1 with the operation coefficient Yani of each Internet of things sensor, generating positive signals when the operation coefficient Yani is in the range of the delay reference interval value Yu1 or when the operation coefficient Yani is larger than the maximum value of the delay reference interval value Yu1, and generating negative signals when the operation coefficient Yani is smaller than the minimum value of the delay reference interval value Yu 1;
the interval value refers to a range value, and the delay reference interval value Yu1 can be expressed as [20, 50] or [50, 80], etc.;
counting the number sum of each type of signals, generating a high-level operation judgment signal when the number sum of positive signals is larger than the number sum of negative signals, generating a medium-level operation judgment signal when the number sum of positive signals is equal to the number sum of negative signals, and generating a low-level operation judgment signal when the number sum of positive signals is less than the number sum of negative signals;
the generated high-level operation judgment signal, the generated middle-level operation judgment signal and the generated low-level operation judgment signal are all sent to an early warning output unit;
the integration demonstration unit is used for processing various operation data in the data operation information of the internet of things sensor in a formula integration form and a signal integration output mode, so that the accuracy and comprehensiveness of management and control analysis of the internet of things sensor technology are realized, and the stability of information exchange of the internet of things sensor is ensured;
when the early warning output unit receives the high-level operation judgment signal, the middle-level operation judgment signal and the low-level operation judgment signal, the judgment analysis processing is carried out according to the high-level operation judgment signal, the middle-level operation judgment signal and the low-level operation judgment signal, and the specific operation process is as follows:
when receiving the high-level operation judgment signal, generating a low-level warning signal, and sending a text word of 'the working state of each current sensor of the internet of things is in a relatively efficient and stable operation level stage without organizing any measures' to a display terminal;
when a middle-level operation judgment signal is received, a middle-level warning signal is generated, and text characters of 'the current working state of each Internet of things sensor is in a normal operation level stage, and no measures need to be organized' are sent to a display terminal;
when a low-level operation judgment signal is received, a high-level warning signal is generated, and text characters of 'the current work of each internet of things sensor is in a low-efficiency operation level stage and management and control measures need to be organized' are sent to a display terminal.
Example two:
as shown in fig. 1, data operation information of each sensor of the internet of things is acquired by a data acquisition unit and is respectively sent to a delay analysis unit and a distribution demonstration unit;
the delay analysis unit is used for performing delay layer directional analysis processing on the received data operation information of each sensor of the internet of things, and the specific operation process is as follows:
capturing response quantity values in data operation information of the sensors of the internet of things at the same time point, calibrating the response quantity values into xyli, carrying out mean value analysis on the response quantity values of the sensors of the internet of things at the same time point, and obtaining a mean value response coefficient Jxyl according to a formula Jxyl (xyl 1 + xyl2 + … … + xyln) ÷ n, wherein i is {1, 2, 3 … n };
setting a time interval value j for the operation of each Internet of things sensor, wherein j is {1, 2, 3 … m }, wherein j represents the number of time points, the time interval value is composed of a plurality of real-time points, the response quantity value xylij of each Internet of things sensor in the time interval value is captured, model comparison analysis processing is carried out on the response quantity value xylij of each Internet of things sensor in the time interval value, and accordingly, a high-efficiency response value, a normal response value and a low-efficiency response value are generated;
the method comprises the following steps of carrying out data statistical analysis processing on efficient response values, normal response values and inefficient response values generated by various sensors of the Internet of things, wherein the specific operation process is as follows:
respectively counting the quantity sum of high-efficiency response values, normal response values and low-efficiency response values of the sensors of the Internet of things in the time interval values, and respectively marking the high-efficiency response values, the normal response values and the low-efficiency response values as Sy1i, Sy2i and Sy3i, if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than Sy3i, marking the corresponding sensors of the Internet of things as positive response signals, and if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than or equal to Sy3i, marking the corresponding sensors of the Internet of things as negative response signals;
counting the number of the sensors of the internet of things which are calibrated to be positive response signals and negative response signals in the n sensors of the internet of things, calibrating the number of the sensors of the internet of things which are calibrated to be the positive response signals to be SL1, calibrating the number of the sensors of the internet of things which are calibrated to be the negative response signals to be SL2, and if the conditions that SL1 is not more than SL2 are met, generating abnormal delay signals;
and generating an abnormal delay signal, sending the abnormal delay signal to a distribution demonstration unit, receiving the abnormal delay signal by the distribution demonstration unit, calling data operation information of each sensor of the internet of things according to the abnormal delay signal, and carrying out item-by-item prejudgment analysis processing on the data operation information, wherein the specific operation process is as follows:
calling a conversion value zhli, an execution value zxli and a transmission value csli in the data operation information of each internet of things sensor, and comparing and analyzing the conversion value zhli, the execution value zxli and the transmission value csli with corresponding preset reference values Ca1, Ca2 and Ca3 respectively;
when the conversion value zhli is smaller than or equal to the corresponding preset reference value Ca1, generating a conversion qualified signal, when the conversion value zhli is larger than the corresponding preset reference value Ca1, generating a conversion unqualified signal, when the execution value zxli is smaller than or equal to the corresponding preset reference value Ca2, generating an execution unqualified signal, when the execution value zxli is larger than the corresponding preset reference value Ca2, generating a transmission qualified signal, when the transmission value csli is larger than or equal to the corresponding preset reference value Ca3, and when the transmission value csli is smaller than the corresponding preset reference value Ca3, generating a transmission unqualified signal;
and performing cross set analysis processing between the conversion qualified signal or the conversion unqualified signal and the execution qualified signal or the execution unqualified signal and the transmission qualified signal or the transmission unqualified signal, wherein the specific operation process is as follows:
recording the conversion qualified signal and the conversion unqualified signal as H-1 and H-2 respectively, recording the execution qualified signal and the execution unqualified signal as X-1 and X-2 respectively, and recording the transmission qualified signal and the transmission unqualified signal as S-1 and S-2 respectively;
if the simultaneously acquired signals satisfy H-1 n X-1 n S-1, high-level operation judging signals are generated, if the simultaneously acquired signals satisfy H-1 n X-2 n S-1 or H-2 n X-1 n S-1 or H-1 n X-1 n S-2, medium-level operation judging signals are generated, and otherwise, low-level operation judging signals are generated;
other cases include the following cases: H-2N-X-2N-S-2, H-1N-X-2N-S-2, H-2N-X-1N-S-2, H-2N-X-2N-S-1;
the generated high-level operation judgment signal, the generated middle-level operation judgment signal and the generated low-level operation judgment signal are sent to an early warning output unit;
the distributed demonstration unit is used for processing various operation data in the data operation information of the sensor of the internet of things in a distributed step-by-step analysis output mode, so that the accuracy and comprehensiveness of management and control analysis of the sensor technology of the internet of things are realized, and the information exchange stability of the sensor of the internet of things is ensured;
the early warning output unit judges, analyzes and processes the received operation judgment signals of all levels, generates low-level warning signals, middle-level warning signals and high-level warning signals according to the judgment signals, and sends the low-level warning signals, the middle-level warning signals and the high-level warning signals to the display terminal in a text word description mode to display and explain the low-level warning signals, the middle-level warning signals and the high-level warning signals.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the system is used, the management and control analysis of the operating efficiency condition of the sensors of the internet of things is realized by acquiring the data operation information of the sensors of the internet of things and constructing the intelligent management and control terminal of the networked sensors according to the data operation information;
by collecting the response quantity value in the data operation information of each sensor of the internet of things and utilizing the modes of symbolic calibration, establishment of a coordinate model and data statistical analysis, the state condition of the response quantity value of each sensor of the internet of things is accurately analyzed, and the data delay state condition of each sensor of the internet of things is further clarified;
the operation states of the multiple IOT sensors are integrated and analyzed by means of classification summation, data comparison and signal output, so that the overall operation state condition of the IOT sensors is subjected to preliminary prejudgment analysis, and a normal delay signal and an abnormal delay signal for judging the operation state of the IOT sensors are generated according to the preliminary prejudgment analysis, so that the accurate preliminary prejudgment analysis of the operation states of the IOT sensors is realized while the integrity of management and control of the IOT sensors is established, and a foundation is laid for the subsequent deep management and control analysis of the IOT sensing technology;
according to the normal delay signal data information, all data quantity values in the data operation information of each Internet of things sensor are collected, and the operation efficiency of the Internet of things sensor is accurately and comprehensively judged and analyzed from a general aspect by utilizing the modes of symbolic calibration, formulaic processing, threshold value substitution comparison and data signal output, so that the comprehensive and accurate management and control of the Internet of things sensor are promoted while the high-efficiency management and control and monitoring of the Internet of things sensor are realized, the management and control analysis of the operation efficiency of the Internet of things sensor in a real sense is realized, and the high-efficiency development of the Internet of things sensing technology industry is greatly promoted;
according to the abnormal delay signal data information, by collecting data quantity values of other factors in the data operation information of each sensor of the Internet of things, the method of marking symbols, setting reference values and cross signal judgment is utilized, and then the operation efficiency of the sensor of the Internet of things is accurately and comprehensively judged and analyzed from the aspect of item-by-item comparison and analysis, so that the operation state of the sensor of the Internet of things is efficiently monitored and analyzed, meanwhile, the accurate prejudgment and analysis of the data delay of the sensor of the Internet of things is realized, the stability of information exchange of the sensor of the Internet of things is further ensured, and the development and application of the technology of the sensor of the Internet of things are promoted.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The intelligent terminal based on the internet of things sensing technology comprises a terminal control platform and is characterized in that a server is arranged in the terminal control platform, and the server is in communication connection with a data acquisition unit, a delay analysis unit, an integration demonstration unit, a distribution demonstration unit, an early warning output unit and a display terminal;
the terminal management and control analysis platform is used for analyzing the operating efficiency of each Internet of things sensor in each Internet of things sensing technology, acquiring data operating information of each Internet of things sensor through the data acquisition unit and respectively sending the data operating information to the delay analysis unit, the integration demonstration unit and the distribution demonstration unit;
the delay analysis unit is used for carrying out delay level directional analysis processing on the received data operation information of each sensor of the Internet of things, generating a normal delay signal and an abnormal delay signal according to the delay analysis processing, sending the normal delay signal to the integration demonstration unit and sending the abnormal delay signal to the distribution demonstration unit;
the integration demonstration unit is used for receiving the normal delay signal, calling data operation information of each sensor of the Internet of things according to the normal delay signal, performing data integration analysis processing, generating a high-level operation judgment signal, a medium-level operation judgment signal and a low-level operation judgment signal according to the data integration analysis processing, and sending the high-level operation judgment signal, the medium-level operation judgment signal and the low-level operation judgment signal to the early warning output unit;
the distribution demonstration unit is used for receiving the abnormal delay signals, calling the data operation information of each sensor of the Internet of things according to the abnormal delay signals, carrying out item-by-item prejudgment analysis processing on the data operation information, generating high-level operation judgment signals, middle-level operation judgment signals and low-level operation judgment signals according to the data operation information, and sending the high-level operation judgment signals, the middle-level operation judgment signals and the low-level operation judgment signals to the early warning output unit;
the early warning output unit judges, analyzes and processes the received running judgment signals of all levels, generates low-level warning signals, middle-level warning signals and high-level warning signals according to the received running judgment signals, and sends the low-level warning signals, the middle-level warning signals and the high-level warning signals to a display terminal in a text word description mode to display and explain the low-level warning signals, the middle-level warning signals and the high-level warning signals.
2. The intelligent terminal based on the internet of things sensing technology as claimed in claim 1, wherein the data operation information comprises a conversion value, an execution value, a transmission value and a response value.
3. The intelligent terminal based on the internet of things sensing technology according to claim 1, wherein the specific operation steps of the delay level orientation analysis processing are as follows:
s1: capturing response quantity values xyli of the sensors of the internet of things at the same time point, wherein i is {1, 2, 3 … n }, and carrying out mean value analysis on the response quantity values of the sensors of the internet of things at the same time point to obtain a mean value response coefficient Jxyl;
s2: setting a time interval value j for the operation of each Internet of things sensor, wherein j is {1, 2, 3 … m }, capturing the response quantity value xylij of each Internet of things sensor in the time interval value, and performing model comparison analysis processing on the response quantity value xylij of each Internet of things sensor in the time interval value to generate an efficient response value, a normal response value and an inefficient response value;
s3: according to step S2, the high-efficiency response value, the normal response value, and the low-efficiency response value generated by each internet of things sensor are subjected to data statistical analysis, and a normal delay signal and an abnormal delay signal are generated accordingly.
4. The intelligent terminal based on the internet of things sensing technology according to claim 3, wherein the specific operation steps of model comparison analysis processing are as follows:
taking time as an abscissa and response magnitude as an ordinate, establishing a dynamic rectangular coordinate system according to the time, and drawing a mean response coefficient Jxyl as a reference line on the dynamic rectangular coordinate system, namely Y is Jxyl;
and the response quantity value of each internet of things sensor in the time interval value is drawn on a dynamic rectangular coordinate system in a point drawing mode, the response quantity value above the reference line Y-Jxyl is calibrated to be an inefficient response value, the converted quantity value above the reference line Y-Jxyl is calibrated to be a normal response value, and the response quantity value above the reference line Y-Jxyl is calibrated to be an efficient response value.
5. The intelligent terminal based on the internet of things sensing technology according to claim 3, wherein the specific operation steps of data statistical analysis processing are as follows:
respectively counting the quantity sum of high-efficiency response values, normal response values and low-efficiency response values of the sensors of the Internet of things in the time interval values, and respectively marking the high-efficiency response values, the normal response values and the low-efficiency response values as Sy1i, Sy2i and Sy3i, if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than Sy3i, marking the corresponding sensors of the Internet of things as positive response signals, and if Sy1i is more than or equal to Sy2i + Sy3i or Sy1i + Sy2i is more than or equal to Sy3i, marking the corresponding sensors of the Internet of things as negative response signals;
counting the number of the sensors of the internet of things which are calibrated to be positive response signals and negative response signals in the n sensors of the internet of things, calibrating the number of the sensors of the internet of things which are calibrated to be the positive response signals to be SL1, calibrating the number of the sensors of the internet of things which are calibrated to be the negative response signals to be SL2, generating normal delay signals if SL1 is larger than SL2, and generating abnormal delay signals if SL1 is larger than or equal to SL 2.
6. The intelligent terminal based on the internet of things sensing technology according to claim 1, wherein the specific operation steps of data integration, analysis and processing are as follows:
when a normal delay signal is received, transferring a conversion value zhli, an execution value zxli, a transmission value csli and a response value xyli of each internet of things sensor, performing formula processing on the conversion value, the execution value, the transmission value and the response value, and obtaining an operation coefficient Yani of each internet of things sensor according to a formula Yani which is e3 × csli ÷ (e 1 × zhli + e2 × zxli + e4 × xyli), wherein e1, e2, e3 and e4 are weight factor coefficients of the conversion value, the execution value, the transmission value and the response value respectively, and e4 > e2 > e1 > e3 > 0;
setting a delay reference interval value Yu1, comparing and analyzing the delay reference interval value Yu1 with the operation coefficient Yani of each Internet of things sensor, generating positive signals when the operation coefficient Yani is in the range of the delay reference interval value Yu1 or when the operation coefficient Yani is larger than the maximum value of the delay reference interval value Yu1, and generating negative signals when the operation coefficient Yani is smaller than the minimum value of the delay reference interval value Yu 1;
counting the number sum of each type of signals, generating a high-level operation judgment signal when the number sum of positive signals is greater than the number sum of negative signals, generating a medium-level operation judgment signal when the number sum of positive signals is equal to the number sum of negative signals, and generating a low-level operation judgment signal when the number sum of positive signals is less than the number sum of negative signals.
7. The intelligent terminal based on the internet of things sensing technology according to claim 1, wherein the specific operation steps of item-by-item prejudging analysis processing are as follows:
when the abnormal delay signal is received, calling a conversion value zhli, an execution value zxli and a transmission value csli of each internet of things sensor, and comparing and analyzing the conversion value zhli, the execution value zxli and the transmission value csli with corresponding preset reference values Ca1, Ca2 and Ca3 respectively;
when the conversion value zhli is smaller than or equal to the corresponding preset reference value Ca1, generating a conversion qualified signal, when the conversion value zhli is larger than the corresponding preset reference value Ca1, generating a conversion unqualified signal, when the execution value zxli is smaller than or equal to the corresponding preset reference value Ca2, generating an execution unqualified signal, when the execution value zxli is larger than the corresponding preset reference value Ca2, generating a transmission qualified signal, when the transmission value csli is larger than or equal to the corresponding preset reference value Ca3, and when the transmission value csli is smaller than the corresponding preset reference value Ca3, generating a transmission unqualified signal;
and performing cross set analysis processing on the generated signals to generate a high-level operation judgment signal, a medium-level operation judgment signal and a low-level operation judgment signal.
8. The intelligent terminal based on the internet of things sensing technology according to claim 7, wherein the specific operation steps of the cross set analysis processing are as follows:
recording the conversion qualified signal and the conversion unqualified signal as H-1 and H-2 respectively, recording the execution qualified signal and the execution unqualified signal as X-1 and X-2 respectively, and recording the transmission qualified signal and the transmission unqualified signal as S-1 and S-2 respectively;
if the simultaneously acquired signals satisfy H-1. n.X-1. n.S-1, high-level operation determination signals are generated, if the simultaneously acquired signals satisfy H-1. n.X-2. n.S-1, H-2. n.X-1. n.S-1, or H-1. n.X-1. n.S-2, middle-level operation determination signals are generated, and otherwise, low-level operation determination signals are generated.
9. The intelligent terminal based on the internet of things sensing technology according to claim 1, wherein the specific operation steps of judging, analyzing and processing are as follows:
when receiving the high-level operation judgment signal, generating a low-level warning signal, and sending a text word of 'the working state of each current sensor of the internet of things is in a relatively efficient and stable operation level stage without organizing any measures' to a display terminal;
when a middle-level operation judgment signal is received, a middle-level warning signal is generated, and text characters of 'the current working state of each Internet of things sensor is in a normal operation level stage, and no measures need to be organized' are sent to a display terminal;
when a low-level operation judgment signal is received, a high-level warning signal is generated, and text characters of 'the current work of each internet of things sensor is in a low-efficiency operation level stage and management and control measures need to be organized' are sent to a display terminal.
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