CN117640463B - Satellite broadband short message communication and vital sign health monitoring method and system - Google Patents
Satellite broadband short message communication and vital sign health monitoring method and system Download PDFInfo
- Publication number
- CN117640463B CN117640463B CN202410104104.0A CN202410104104A CN117640463B CN 117640463 B CN117640463 B CN 117640463B CN 202410104104 A CN202410104104 A CN 202410104104A CN 117640463 B CN117640463 B CN 117640463B
- Authority
- CN
- China
- Prior art keywords
- time delay
- delay
- network
- abnormal
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 152
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000004891 communication Methods 0.000 title claims abstract description 40
- 230000036541 health Effects 0.000 title claims abstract description 36
- 230000002159 abnormal effect Effects 0.000 claims abstract description 219
- 238000012937 correction Methods 0.000 claims abstract description 43
- 238000005457 optimization Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000007781 pre-processing Methods 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims description 25
- 230000011664 signaling Effects 0.000 claims description 10
- 239000008186 active pharmaceutical agent Substances 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000001934 delay Effects 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- 230000005856 abnormality Effects 0.000 abstract description 8
- 238000007405 data analysis Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to the technical field of satellite processing data analysis, in particular to a satellite broadband short message communication and vital sign health monitoring method and system, comprising an information acquisition module, a time delay monitoring module, an abnormal time delay analysis module and an intelligent optimization module; the information acquisition module acquires the first monitoring information and the second monitoring information and sends the acquired information to the time delay monitoring module; the time delay monitoring module acquires an abnormal time delay signal of network time delay according to the acquired information and performs preprocessing; the abnormal time delay analysis module calculates and analyzes the frequency of the abnormal signal to obtain a feedback signal, and sends the feedback signal to the intelligent optimization module; and the intelligent optimization module calculates a network delay correction coefficient according to the feedback signal, analyzes and obtains an alarm judgment result, and optimizes the alarm judgment result. The method and the device are used for solving the technical problems of abnormal time delay of the network equipment for satellite broadband short message communication monitoring and alarming of the abnormality.
Description
Technical Field
The invention relates to the technical field of satellite processing data analysis, in particular to a satellite broadband short message communication and vital sign health monitoring method and system.
Background
Satellite broadband short message communication is a communication mode for transmitting short messages or data through a satellite network. Broadband refers to satellite broadband short message communication, which can provide larger data transmission bandwidth and allow more information to be transmitted compared with traditional satellite communication; short messages refer to short messages or packets. Vital sign health monitoring methods are techniques and means for monitoring vital signs and health conditions of a human body.
The current satellite short message provides a brand new choice for our communication mode, and has considerable development prospect and very wide application scene. Satellite broadband short message communication can provide communication coverage on a global scale, support emergency communication, and can be used for monitoring, control and data acquisition. However, certain communication time delay is introduced in satellite communication, and the time delay of the satellite communication is relatively high, which means that a certain time is required for data transmission from the vital sign sensor to the monitoring center, so that the problem that the time delay of the network equipment is abnormal and the abnormality cannot be timely warned is solved, and the accuracy and the reliability of the satellite broadband short message communication and the vital sign health monitoring system are reduced. Therefore, the invention provides a satellite broadband short message communication and vital sign health monitoring method and system.
Disclosure of Invention
The invention aims to solve the problems in the background technology, and provides a satellite broadband short message communication and vital sign health monitoring method and system.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a satellite broadband short message communication and vital sign health monitoring system, comprising: the system comprises an information acquisition module, a time delay monitoring module, an abnormal time delay analysis module and an intelligent optimization module;
the information acquisition module is used for acquiring the first monitoring information and the second monitoring information and transmitting the first monitoring information and the second monitoring information to the time delay monitoring module;
the time delay monitoring module is used for analyzing the acquired first monitoring information and second monitoring information, obtaining an abnormal time delay signal of network time delay through analysis, preprocessing the acquired abnormal time delay signal of the network time delay, and sending the main network time delay abnormal signal and the access network time delay abnormal signal obtained after preprocessing to the abnormal time delay analysis module, wherein the time delay monitoring module comprises a time delay receiving unit and a time delay preprocessing unit;
The abnormal time delay analysis module is used for receiving the main network time delay abnormal signal and the access network time delay abnormal signal, calculating and analyzing the frequency of the abnormal signal through a sinusoidal curve, judging and recording the receiving condition of the network time delay abnormal signal and the frequency thereof, obtaining a network time delay abnormal frequency value Pa, automatically generating a feedback signal, and simultaneously sending the feedback signal to the intelligent optimization module;
The intelligent optimization module is used for calculating a network delay correction coefficient according to the feedback signal, analyzing to obtain an alarm judgment result, and optimizing the alarm judgment result; the intelligent optimization module comprises an alarm calibration unit and an alarm optimization unit, wherein the alarm calibration unit is used for receiving feedback signals, calculating network delay correction coefficients, setting a critical threshold value for comparison, analyzing to obtain alarm judgment results, and sending the alarm judgment results to the alarm optimization unit; the alarm optimizing unit is used for receiving and displaying the data of the alarm calibrating unit in real time, and simultaneously taking corresponding optimizing measures according to the primary alarm instruction and the secondary alarm instruction, and comprises a visual display end and an intelligent alarm end.
Further, the process of collecting the first monitoring information and the second monitoring information by the information collecting module includes:
Acquiring first monitoring information and second monitoring information in a preset time period; the first monitoring information comprises time information corresponding to a monitoring target and signaling through a main network device, the second monitoring information comprises time information corresponding to the monitoring target and signaling through an access network device, and the monitoring target is monitoring information of health of all vital signs;
It should be noted that, the first monitoring information and the second monitoring information are acquired data of vital signs including data such as temperature, heart rate, respiration rate, sleep mode, etc., and the actual vital sign health monitoring method also needs sensors and other technologies; the signaling is signaling data transmitted by the network equipment and the base station.
Further, the process of the delay receiving unit for acquiring the abnormal delay signal includes:
the time delay receiving unit receives the first monitoring information and the second monitoring information;
determining main network time delay according to the first monitoring information, wherein the main network time delay is the time delay of a monitoring target in main network equipment;
Determining access network time delay according to the second monitoring information, wherein the access network time delay is the time delay of a monitoring target in access network equipment;
acquiring main network time delay and access network time delay data in a monitoring period, and respectively numbering Zi and Jk, i=1, 2,3, … … and m; k=1, 2,3, … …, n; m and n are positive integers; setting a first preset time delay DY;
Marking the summation result of the main network delay Zi and the access network delay Jk as ZJ;
comparing ZJ with DY, if ZJ is larger than DY, determining that abnormal time delay exists in the main network time delay Zi and the access network time delay Jk, and generating a network abnormal time delay signal; if ZJ is not greater than DY, determining that the time delay in the main network time delay Zi and the time delay in the access network time delay Jk is normal, and generating a network normal time delay signal;
numbering and marking the corresponding network abnormal time delay according to the network abnormal time delay signal, and simultaneously sending the network abnormal time delay signal to a time delay preprocessing unit to further analyze and process the network abnormal time delay.
Further, the process of preprocessing the network abnormal time delay signal by the time delay preprocessing unit comprises the following steps:
the delay preprocessing unit receives a network abnormal delay signal;
setting a second preset time delay DE and a third preset time delay DS; judging whether the main network delay Zi is larger than a second preset delay DE and whether the access network delay Jk is larger than a third preset delay DS;
if the main network delay Zi is larger than the second preset delay DE, determining that the abnormal delay comprises the main network delay Zi and generating a main network delay abnormal signal; if the access network delay Jk is larger than a third preset delay DS, determining that the abnormal delay comprises the access network delay Jk and generating an access network delay abnormal signal;
and sending the main network delay abnormal signal and the access network delay abnormal signal to an abnormal delay analysis module.
Further, the process of calculating and analyzing the frequency of the abnormal signal and obtaining the feedback signal by the abnormal time delay analysis module comprises the following steps:
s401, an abnormal time delay analysis module receives a main network time delay abnormal signal and an access network time delay abnormal signal;
S402, acquiring abnormal signal transmitting frequencies of all network time delays in a system, and obtaining a maximum frequency Pmax and a minimum frequency Pmin;
S403, when the abnormal time delay analysis module receives the network time delay, calculating again to obtain abnormal signal transmitting frequencies of all network time delay, and updating the maximum frequency Pmax and the minimum frequency Pmin;
S404, presetting a first preset time value; calculating and analyzing the average time interval T1 of the occurrence of the maximum frequency abnormal signal and the average time interval T2 of the occurrence of the minimum frequency abnormal signal within a first preset time, and calculating the maximum common factor T0 of the T1 and the T2;
s405, taking T0 as a period, receiving abnormal signals of all network time delays in a system, wherein the peak value and the valley value of a sinusoidal period are Pmax and Pmin respectively, and the average time interval for receiving the abnormal signals is (T1 +T2)/2;
s406, judging whether an abnormal signal of network delay is received in each curve period; if yes, setting the next cycle time of the curve cycle to be half of the current cycle, and executing step S407; otherwise, not executing the operation;
S407, presetting a second preset time value; checking whether the abnormal signal of the network delay in step S406 is received again within a second predetermined time; if yes, go to step S408; otherwise, the curve period is restored to the initial state T0, and the step S406 is returned;
S408, recording the received abnormal signal of the network time delay and the frequency thereof; marking the abnormal signal of the network delay and the frequency thereof as a network delay abnormal frequency value Pa, automatically generating a feedback signal according to the network delay abnormal frequency value Pa and sending the feedback signal to the corresponding network delay, and simultaneously interconnecting the feedback signal and the corresponding network delay to control the network delay;
the method is characterized in that the frequency of the network delay abnormal signal is obtained by utilizing the receiving mode of the sinusoidal variation to the network delay abnormal signal, so that the efficiency and the reliability of data processing are improved;
S409, sending the feedback signal to the intelligent optimization module.
Further, the process of calculating the network delay correction coefficient by the alarm calibration unit according to the feedback signal includes:
the alarm calibration unit receives the feedback signal;
sequentially counting the total times of main network delay abnormal signals and the total times of access network delay abnormal signals according to a preset arrangement sequence of feedback signals, and marking the total times as ZS and JS respectively; obtaining problem influence factors YZ corresponding to different abnormal signals;
Acquiring the numerical values of the frequencies of the main network time delay and the access network time delay, matching the acquired network time delay frequency with the total number of abnormal signals of the corresponding network time delay to acquire a corresponding frequency correlation value, and marking the corresponding frequency correlation value as PL;
The total times of main network delay abnormal signals of the network delay marks, the total times of abnormal signals of the access network delay and corresponding frequency correlation values are extracted and integrated in parallel, and a network delay correction coefficient S corresponding to the network delay is obtained through calculation, wherein the calculation formula of the network delay correction coefficient S is as follows: ; wherein, f1 and f2 are preset different proportion coefficients and 1< f2; f1 is 1.472 and f2 is 2.358.
Further, the process of analyzing the calculation result of the network delay correction coefficient by the alarm calibration unit to obtain the alarm judgment result includes:
setting a critical threshold of a network delay correction coefficient, and marking the critical threshold of the network delay correction coefficient as S0;
Comparing the network delay correction coefficient S with a critical threshold S0 of the network delay correction coefficient, and obtaining an alarm judgment result Q; if the difference value of the two is not more than 0.7, outputting Q=0, and marking a network delay correction coefficient corresponding to the difference value of not more than 0.7 as a secondary alarm instruction; if the difference value of the two is larger than 0.7, outputting Q=1, and marking a network delay correction coefficient corresponding to the difference value larger than 0.7 as a first-level alarm instruction;
The alarm calibration unit sends the alarm judgment result Q to the alarm optimization unit.
Further, the process of processing and optimizing by the alarm optimizing unit in combination with the alarm judging result comprises the following steps:
The visual display end receives the data of the alarm calibration unit and transmits the data to the computer end, and the data is displayed on a graphical display interface of the computer end in real time;
When q=0, sending a secondary alarm instruction to a network equipment manager through an intelligent alarm terminal, and performing optimization operation; when q=1, the first-level alarm instruction is sent to the network equipment manager through the intelligent alarm terminal for on-line management, and the optimization measure is formulated by inquiring the problem immediately, and meanwhile, the first-level alarm information is reported to the responsible person of the first-level manager.
A satellite broadband short message communication and vital sign health monitoring method comprises the following steps:
collecting first monitoring information and second monitoring information, and sending the collected information to a time delay monitoring module;
Receiving and processing the information sent by the information acquisition module, and obtaining an abnormal time delay signal;
Calculating and analyzing the abnormal time delay signals to obtain main network time delay abnormal signals and access network time delay abnormal signals, and sending the signals to an abnormal time delay analysis module;
according to the main network delay abnormal signal and the access network delay abnormal signal, calculating and analyzing the frequency of the abnormal signal to obtain a feedback signal;
calculating a network delay correction coefficient according to the feedback signal and analyzing to obtain an alarm judgment result;
And respectively taking corresponding measures for optimizing the alarm judgment result.
Compared with the prior art, the invention provides the satellite broadband short message communication and vital sign health monitoring method and system, which have the advantages that:
the method comprises the steps of collecting first monitoring information and second monitoring information through an information collecting module, and sending the first monitoring information and the second monitoring information to a time delay monitoring module;
The method comprises the steps of analyzing the acquired first monitoring information and second monitoring information through a time delay monitoring module to obtain an abnormal time delay signal of network time delay, preprocessing the acquired abnormal time delay signal of the network time delay, and sending a main network time delay abnormal signal and an access network time delay abnormal signal obtained after preprocessing to an abnormal time delay analysis module;
The invention receives the main network delay abnormal signal and the access network delay abnormal signal through the abnormal delay analysis module, calculates and analyzes the frequency of the abnormal signal by means of a sinusoidal curve, judges and records the receiving condition of the network delay abnormal signal and the frequency thereof, obtains the network delay abnormal frequency value Pa, automatically generates a feedback signal, and simultaneously sends the feedback signal to the intelligent optimization module;
According to the invention, an intelligent optimization module calculates a network delay correction coefficient according to a feedback signal, and analyzes and obtains an alarm judgment result, and the alarm judgment result is optimized; the alarm calibration unit is used for receiving the feedback signal, calculating a network delay correction coefficient, setting a critical threshold value for comparison, analyzing to obtain an alarm judgment result, and sending the alarm judgment result to the alarm optimization unit; the alarm optimizing unit is used for receiving the data of the alarm calibrating unit, displaying the data in real time, and simultaneously taking corresponding optimizing measures according to the primary alarm instruction and the secondary alarm instruction, so that the alarm instruction is more accurate, and the real-time monitoring and analysis processing of the time delay abnormality problem of the network equipment are facilitated.
In summary, the invention can monitor and count the delay abnormality of the network equipment including the main network delay abnormality and the access network delay abnormality according to the actual situation, calculate and analyze to obtain the alarm judgment result, and meanwhile, take corresponding processing optimization measures according to the result, improve the real-time performance and reliability of the alarm function, so that the monitoring alarm function of the delay abnormality of the network equipment can respond quickly and be processed more timely, and ensure the normal monitoring work of the subsequent satellite broadband short message communication and vital sign health monitoring system through comprehensive network delay abnormality data analysis and alarm optimization processing.
Drawings
Fig. 1 is a block diagram of a satellite broadband short message communication and vital sign health monitoring system according to the present invention.
Fig. 2 is a flowchart of a satellite broadband short message communication and vital sign health monitoring method according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a satellite broadband short message communication and vital sign health monitoring system comprises an information acquisition module, a time delay monitoring module, an abnormal time delay analysis module and an intelligent optimization module;
the information acquisition module is used for acquiring the first monitoring information and the second monitoring information and transmitting the first monitoring information and the second monitoring information to the time delay monitoring module;
the time delay monitoring module is used for analyzing the acquired first monitoring information and second monitoring information, obtaining an abnormal time delay signal of network time delay through analysis, preprocessing the acquired abnormal time delay signal of the network time delay, and sending the main network time delay abnormal signal and the access network time delay abnormal signal obtained after preprocessing to the abnormal time delay analysis module, wherein the time delay monitoring module comprises a time delay receiving unit and a time delay preprocessing unit;
The abnormal time delay analysis module is used for receiving the main network time delay abnormal signal and the access network time delay abnormal signal, calculating and analyzing the frequency of the abnormal signal through a sinusoidal curve, judging and recording the receiving condition of the network time delay abnormal signal and the frequency thereof, obtaining a network time delay abnormal frequency value Pa, automatically generating a feedback signal, and simultaneously sending the feedback signal to the intelligent optimization module;
The intelligent optimization module is used for calculating a network delay correction coefficient according to the feedback signal, analyzing to obtain an alarm judgment result, and optimizing the alarm judgment result; the intelligent optimization module comprises an alarm calibration unit and an alarm optimization unit, wherein the alarm calibration unit is used for receiving feedback signals, calculating network delay correction coefficients, setting a critical threshold value for comparison, analyzing to obtain alarm judgment results, and sending the alarm judgment results to the alarm optimization unit; the alarm optimizing unit is used for receiving and displaying the data of the alarm calibrating unit in real time, and simultaneously taking corresponding optimizing measures according to the primary alarm instruction and the secondary alarm instruction, and comprises a visual display end and an intelligent alarm end.
The process of the information acquisition module for acquiring the first monitoring information and the second monitoring information comprises the following steps:
S101, acquiring first monitoring information and second monitoring information in a preset time period; the first monitoring information comprises time information corresponding to a monitoring target and signaling through a main network device, the second monitoring information comprises time information corresponding to the monitoring target and signaling through an access network device, and the monitoring target is monitoring information of health of all vital signs;
It should be noted that, the first monitoring information and the second monitoring information are acquired data of vital signs including data such as temperature, heart rate, respiratory rate, sleep mode, etc., and the actual vital sign health monitoring method also needs sensors and other technologies; the signaling is signaling data transmitted by the network equipment and the base station, and the monitoring target is information of health of all vital signs.
The process for acquiring the abnormal time delay signal by the time delay receiving unit comprises the following steps:
S201, a time delay receiving unit receives first monitoring information and second monitoring information;
S202, determining main network time delay according to the first monitoring information, wherein the main network time delay is the time delay of a monitoring target in main network equipment;
S203, determining access network time delay according to the second monitoring information, wherein the access network time delay is the time delay of a monitoring target in access network equipment;
s204, acquiring main network delay and access network delay data in a monitoring period, and respectively numbering Zi, jk, i=1, 2,3, … … and m; k=1, 2,3, … …, n; m and n are positive integers; setting a first preset time delay DY;
s205, marking a summation result of the main network delay Zi and the access network delay Jk as ZJ;
S206, comparing ZJ with DY, if ZJ is larger than DY, determining that abnormal time delay exists in the main network time delay Zi and the access network time delay Jk, and generating a network abnormal time delay signal; if ZJ is not greater than DY, determining that the time delay in the main network time delay Zi and the time delay in the access network time delay Jk is normal, and generating a network normal time delay signal;
S207, numbering and marking the corresponding network abnormal time delay according to the network abnormal time delay signal, and simultaneously sending the network abnormal time delay signal to a time delay preprocessing unit to further analyze and process the network abnormal time delay.
The process of the time delay preprocessing unit for preprocessing the network abnormal time delay signal comprises the following steps:
s301, a delay preprocessing unit receives a network abnormal delay signal;
S302, setting a second preset time delay DE and a third preset time delay DS; judging whether the main network delay Zi is larger than a second preset delay DE and whether the access network delay Jk is larger than a third preset delay DS;
S303, if the main network delay Zi is greater than the second preset delay DE, determining that the abnormal delay comprises the main network delay Zi and generating a main network delay abnormal signal; if the access network delay Jk is larger than a third preset delay DS, determining that the abnormal delay comprises the access network delay Jk and generating an access network delay abnormal signal;
s304, the main network delay abnormal signal and the access network delay abnormal signal are sent to an abnormal delay analysis module.
The process of calculating and analyzing the frequency of the abnormal signal and obtaining the feedback signal by the abnormal time delay analysis module comprises the following steps:
s401, an abnormal time delay analysis module receives a main network time delay abnormal signal and an access network time delay abnormal signal;
S402, acquiring abnormal signal transmitting frequencies of all network time delays in a system, and obtaining a maximum frequency Pmax and a minimum frequency Pmin;
S403, when the abnormal time delay analysis module receives the network time delay, calculating again to obtain abnormal signal transmitting frequencies of all network time delay, and updating the maximum frequency Pmax and the minimum frequency Pmin;
S404, presetting a first preset time value; calculating and analyzing the average time interval T1 of the occurrence of the maximum frequency abnormal signal and the average time interval T2 of the occurrence of the minimum frequency abnormal signal within a first preset time, and calculating the maximum common factor T0 of the T1 and the T2;
s405, taking T0 as a period, receiving abnormal signals of all network time delays in a system, wherein the peak value and the valley value of a sinusoidal period are Pmax and Pmin respectively, and the average time interval for receiving the abnormal signals is (T1 +T2)/2;
s406, judging whether an abnormal signal of network delay is received in each curve period; if yes, setting the next cycle time of the curve cycle to be half of the current cycle, and executing step S407; otherwise, not executing the operation;
S407, presetting a second preset time value; checking whether the abnormal signal of the network delay in step S406 is received again within a second predetermined time; if yes, go to step S408; otherwise, the curve period is restored to the initial state T0, and the step S406 is returned;
S408, recording the received abnormal signal of the network time delay and the frequency thereof; marking the abnormal signal of the network delay and the frequency thereof as a network delay abnormal frequency value Pa, automatically generating a feedback signal according to the network delay abnormal frequency value Pa and sending the feedback signal to the corresponding network delay, and simultaneously interconnecting the feedback signal and the corresponding network delay to control the network delay;
the method is characterized in that the frequency of the network delay abnormal signal is obtained by utilizing the receiving mode of the sinusoidal variation to the network delay abnormal signal, so that the efficiency and the reliability of data processing are improved;
S409, sending the feedback signal to the intelligent optimization module.
The process of calculating the network delay correction coefficient by the alarm calibration unit according to the feedback signal comprises the following steps:
S501, an alarm calibration unit receives a feedback signal;
S502, sequentially counting the total times of main network delay abnormal signals and the total times of access network delay abnormal signals according to a preset arrangement sequence according to feedback signals, and marking the total times as ZS and JS respectively; obtaining problem influence factors YZ corresponding to different abnormal signals;
S503, obtaining the frequency values of the main network time delay and the access network time delay, matching the obtained network time delay frequency with the total number of the abnormal signals of the corresponding network time delay to obtain a corresponding frequency correlation value, and marking the corresponding frequency correlation value as PL;
S504, extracting the total times of main network delay abnormal signals of the network delay marks, the total times of abnormal signals of the access network delay and corresponding frequency correlation values, integrating the main network delay abnormal signals, the total times of the access network delay abnormal signals and the corresponding frequency correlation values, and obtaining a network delay correction coefficient S corresponding to the network delay through calculation, wherein the calculation formula of the network delay correction coefficient S is as follows: ; wherein, f1 and f2 are preset different proportion coefficients and 1< f2; f1 is 1.472 and f2 is 2.358.
The process of analyzing the calculation result of the network delay correction coefficient by the alarm calibration unit to obtain the alarm judgment result comprises the following steps:
s601, setting a critical threshold of a network delay correction coefficient, and marking the critical threshold of the network delay correction coefficient as S0;
S602, comparing the network delay correction coefficient S with a critical threshold S0 of the network delay correction coefficient, and obtaining an alarm judgment result Q; if the difference value of the two is not more than 0.7, outputting Q=0, and marking a network delay correction coefficient corresponding to the difference value of not more than 0.7 as a secondary alarm instruction; if the difference value of the two is larger than 0.7, outputting Q=1, and marking a network delay correction coefficient corresponding to the difference value larger than 0.7 as a first-level alarm instruction;
S603, the alarm calibration unit sends an alarm judgment result Q to the alarm optimization unit.
The process of processing and optimizing by the alarm optimizing unit in combination with the alarm judging result comprises the following steps:
S701, receiving data of the alarm calibration unit by the visual display end, transmitting the data to the computer end, and displaying the data on a graphical display interface of the computer end in real time;
S702, when Q=0, sending a secondary alarm instruction to a network equipment manager through an intelligent alarm terminal, and performing optimization operation; when q=1, the first-level alarm instruction is sent to the network equipment manager through the intelligent alarm terminal for on-line management, and the optimization measure is formulated by inquiring the problem immediately, and meanwhile, the first-level alarm information is reported to the responsible person of the first-level manager.
In the embodiment of the invention, the first monitoring information and the second monitoring information are acquired through the information acquisition module and are sent to the time delay monitoring module, the first monitoring information and the second monitoring information are received through the time delay monitoring module, the network time delay abnormal signal is obtained according to the first monitoring information and the second monitoring information, the main network time delay abnormal signal and the access network time delay abnormal signal are obtained through preprocessing, the main network time delay abnormal signal and the access network time delay abnormal signal are sent to the abnormal time delay analysis module, the main network time delay abnormal signal and the access network time delay abnormal signal are received through the abnormal time delay analysis module, the frequency of the abnormal signal is calculated and analyzed by means of a sinusoidal curve, the abnormal signal of the network time delay and the receiving condition of the frequency thereof are judged and recorded, the network time delay abnormal frequency value Pa is obtained, the feedback signal is automatically generated, the feedback signal is sent to the intelligent optimization module, the accuracy of the feedback information is ensured, the network time delay correction coefficient is calculated according to the feedback signal, the alarm judgment result is obtained through analysis, the alarm judgment result is optimized, the alarm instruction is more accurate, the real-time delay of the network equipment is monitored and the alarm judgment result is favorable for the satellite time delay of the abnormal equipment, the purpose of the broadband communication system is achieved, and the purpose of the abnormal communication system is achieved based on the health condition of the broadband communication system. In summary, the embodiment of the invention relates to data acquisition analysis, result generation and decision of optimization measures, and solves the problems of abnormal time delay of network equipment and alarm processing of the abnormal time delay of the satellite broadband short message communication and vital sign health monitoring method and system. In practice, more data and context information may be needed to make specific decisions and optimization schemes.
Referring to fig. 2, a satellite broadband short message communication and vital sign health monitoring method includes:
collecting first monitoring information and second monitoring information, and sending the collected information to a time delay monitoring module;
Receiving and processing the information sent by the information acquisition module, and obtaining an abnormal time delay signal;
Calculating and analyzing the abnormal time delay signals to obtain main network time delay abnormal signals and access network time delay abnormal signals, and sending the signals to an abnormal time delay analysis module;
according to the main network delay abnormal signal and the access network delay abnormal signal, calculating and analyzing the frequency of the abnormal signal to obtain a feedback signal;
calculating a network delay correction coefficient according to the feedback signal and analyzing to obtain an alarm judgment result;
And respectively taking corresponding measures for optimizing the alarm judgment result.
In this specification, all embodiments are described in a progressive manner, and identical and similar parts of the embodiments are all referred to each other, and each embodiment is mainly described as different from other embodiments. In particular, for the device embodiments, since they are basically based on the method embodiments, the description is relatively simple, and the relevant points are referred to in the description of the method embodiments.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in the same piece or pieces of software and/or hardware when implementing the present application.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Secondly: in the drawings of the disclosed embodiments, only the structures related to the embodiments of the present disclosure are referred to, other structures can refer to the general design, and the same embodiment and different embodiments of the present disclosure can be combined with each other under the condition of no conflict;
Finally: the foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical solution of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (9)
1. A satellite broadband short message communication and vital sign health monitoring system is characterized in that: the system comprises an information acquisition module, a time delay monitoring module, an abnormal time delay analysis module and an intelligent optimization module;
the information acquisition module is used for acquiring the first monitoring information and the second monitoring information and transmitting the first monitoring information and the second monitoring information to the time delay monitoring module;
the time delay monitoring module is used for analyzing the acquired first monitoring information and second monitoring information, obtaining an abnormal time delay signal of network time delay through analysis, preprocessing the acquired abnormal time delay signal of the network time delay, and sending the main network time delay abnormal signal and the access network time delay abnormal signal obtained after preprocessing to the abnormal time delay analysis module, wherein the time delay monitoring module comprises a time delay receiving unit and a time delay preprocessing unit;
The abnormal time delay analysis module is used for receiving the main network time delay abnormal signal and the access network time delay abnormal signal, calculating and analyzing the frequency of the abnormal signal through a sinusoidal curve, judging and recording the receiving condition of the network time delay abnormal signal and the frequency thereof, obtaining a network time delay abnormal frequency value Pa, automatically generating a feedback signal, and simultaneously sending the feedback signal to the intelligent optimization module;
The intelligent optimization module is used for calculating a network delay correction coefficient according to the feedback signal, analyzing to obtain an alarm judgment result, and optimizing the alarm judgment result; the intelligent optimization module comprises an alarm calibration unit and an alarm optimization unit, wherein the alarm calibration unit is used for receiving feedback signals, calculating network delay correction coefficients, setting a critical threshold value for comparison, analyzing to obtain alarm judgment results, and sending the alarm judgment results to the alarm optimization unit; the alarm optimizing unit is used for receiving and displaying the data of the alarm calibrating unit in real time, and simultaneously taking corresponding optimizing measures according to the primary alarm instruction and the secondary alarm instruction, and comprises a visual display end and an intelligent alarm end.
2. The satellite broadband short message communication and vital sign health monitoring system according to claim 1, wherein: the process of the information acquisition module for acquiring the first monitoring information and the second monitoring information comprises the following steps:
Acquiring first monitoring information and second monitoring information in a preset time period; the first monitoring information comprises time information corresponding to a monitoring target and signaling through the main network equipment, the second monitoring information comprises time information corresponding to the monitoring target and signaling through the access network equipment, and the monitoring target is monitoring information of all vital sign health.
3. The satellite broadband short message communication and vital sign health monitoring system according to claim 1, wherein: the process for acquiring the abnormal time delay signal by the time delay receiving unit comprises the following steps:
the time delay receiving unit receives the first monitoring information and the second monitoring information;
determining main network time delay according to the first monitoring information, wherein the main network time delay is the time delay of a monitoring target in main network equipment;
Determining access network time delay according to the second monitoring information, wherein the access network time delay is the time delay of a monitoring target in access network equipment;
acquiring main network time delay and access network time delay data in a monitoring period, and respectively numbering Zi and Jk, i=1, 2,3, … … and m; k=1, 2,3, … …, n; m and n are positive integers; setting a first preset time delay DY;
Marking the summation result of the main network delay Zi and the access network delay Jk as ZJ;
comparing ZJ with DY, if ZJ is larger than DY, determining that abnormal time delay exists in the main network time delay Zi and the access network time delay Jk, and generating a network abnormal time delay signal; if ZJ is not greater than DY, determining that the time delay in the main network time delay Zi and the time delay in the access network time delay Jk is normal, and generating a network normal time delay signal;
numbering and marking the corresponding network abnormal time delay according to the network abnormal time delay signal, and simultaneously sending the network abnormal time delay signal to a time delay preprocessing unit to further analyze and process the network abnormal time delay.
4. The satellite broadband short message communication and vital sign health monitoring system according to claim 3, wherein: the process of the time delay preprocessing unit for preprocessing the network abnormal time delay signal comprises the following steps:
the delay preprocessing unit receives a network abnormal delay signal;
setting a second preset time delay DE and a third preset time delay DS; judging whether the main network delay Zi is larger than a second preset delay DE and whether the access network delay Jk is larger than a third preset delay DS;
if the main network delay Zi is larger than the second preset delay DE, determining that the abnormal delay comprises the main network delay Zi and generating a main network delay abnormal signal; if the access network delay Jk is larger than a third preset delay DS, determining that the abnormal delay comprises the access network delay Jk and generating an access network delay abnormal signal;
and sending the main network delay abnormal signal and the access network delay abnormal signal to an abnormal delay analysis module.
5. The satellite broadband short message communication and vital sign health monitoring system according to claim 1, wherein: the process of calculating and analyzing the frequency of the abnormal signal and obtaining the feedback signal by the abnormal time delay analysis module comprises the following steps:
s401, an abnormal time delay analysis module receives a main network time delay abnormal signal and an access network time delay abnormal signal;
S402, acquiring abnormal signal transmitting frequencies of all network time delays in a system, and obtaining a maximum frequency Pmax and a minimum frequency Pmin;
S403, when the abnormal time delay analysis module receives the network time delay, calculating again to obtain abnormal signal transmitting frequencies of all network time delay, and updating the maximum frequency Pmax and the minimum frequency Pmin;
S404, presetting a first preset time value; calculating and analyzing the average time interval T1 of the occurrence of the maximum frequency abnormal signal and the average time interval T2 of the occurrence of the minimum frequency abnormal signal within a first preset time, and calculating the maximum common factor T0 of the T1 and the T2;
s405, taking T0 as a period, receiving abnormal signals of all network time delays in a system, wherein the peak value and the valley value of a sinusoidal period are Pmax and Pmin respectively, and the average time interval for receiving the abnormal signals is (T1 +T2)/2;
s406, judging whether an abnormal signal of network delay is received in each curve period; if yes, setting the next cycle time of the curve cycle to be half of the current cycle, and executing step S407; otherwise, not executing the operation;
S407, presetting a second preset time value; checking whether the abnormal signal of the network delay in step S406 is received again within a second predetermined time; if yes, go to step S408; otherwise, the curve period is restored to the initial state T0, and the step S406 is returned;
S408, recording the received abnormal signal of the network time delay and the frequency thereof; marking the abnormal signal of the network delay and the frequency thereof as a network delay abnormal frequency value Pa, automatically generating a feedback signal according to the network delay abnormal frequency value Pa and sending the feedback signal to the corresponding network delay, and simultaneously interconnecting the feedback signal and the corresponding network delay to control the network delay;
S409, sending the feedback signal to the intelligent optimization module.
6. The satellite broadband short message communication and vital sign health monitoring system according to claim 1, wherein: the process of calculating the network delay correction coefficient by the alarm calibration unit according to the feedback signal comprises the following steps:
the alarm calibration unit receives the feedback signal;
sequentially counting the total times of main network delay abnormal signals and the total times of access network delay abnormal signals according to a preset arrangement sequence of feedback signals, and marking the total times as ZS and JS respectively; obtaining problem influence factors YZ corresponding to different abnormal signals;
Acquiring the numerical values of the frequencies of the main network time delay and the access network time delay, matching the acquired network time delay frequency with the total number of abnormal signals of the corresponding network time delay to acquire a corresponding frequency correlation value, and marking the corresponding frequency correlation value as PL;
The total times of main network delay abnormal signals of the network delay marks, the total times of abnormal signals of the access network delay and corresponding frequency correlation values are extracted and integrated in parallel, and a network delay correction coefficient S corresponding to the network delay is obtained through calculation, wherein the calculation formula of the network delay correction coefficient S is as follows: ; wherein, f1 and f2 are preset different proportion coefficients and 1< f2; f1 is 1.472 and f2 is 2.358.
7. The satellite broadband short message communication and vital sign health monitoring system according to claim 1, wherein: the process of analyzing the calculation result of the network delay correction coefficient by the alarm calibration unit to obtain the alarm judgment result comprises the following steps:
setting a critical threshold of a network delay correction coefficient, and marking the critical threshold of the network delay correction coefficient as S0;
Comparing the network delay correction coefficient S with a critical threshold S0 of the network delay correction coefficient, and obtaining an alarm judgment result Q; if the difference value of the two is not more than 0.7, outputting Q=0, and marking a network delay correction coefficient corresponding to the difference value of not more than 0.7 as a secondary alarm instruction; if the difference value of the two is larger than 0.7, outputting Q=1, and marking a network delay correction coefficient corresponding to the difference value larger than 0.7 as a first-level alarm instruction;
The alarm calibration unit sends the alarm judgment result Q to the alarm optimization unit.
8. The satellite broadband short message communication and vital sign health monitoring system according to claim 7, wherein: the process of processing and optimizing by the alarm optimizing unit in combination with the alarm judging result comprises the following steps:
The visual display end receives the data of the alarm calibration unit and transmits the data to the computer end, and the data is displayed on a graphical display interface of the computer end in real time;
When q=0, sending a secondary alarm instruction to a network equipment manager through an intelligent alarm terminal, and performing optimization operation; when q=1, the first-level alarm instruction is sent to the network equipment manager through the intelligent alarm terminal for on-line management, and the optimization measure is formulated by inquiring the problem immediately, and meanwhile, the first-level alarm information is reported to the responsible person of the first-level manager.
9. A vital sign health monitoring method applied to satellite broadband short message communication and vital sign health monitoring method as set forth in any one of claims 1-8, characterized in that the vital sign health monitoring method includes:
collecting first monitoring information and second monitoring information, and sending the collected information to a time delay monitoring module;
Receiving and processing the information sent by the information acquisition module, and obtaining an abnormal time delay signal;
Calculating and analyzing the abnormal time delay signals to obtain main network time delay abnormal signals and access network time delay abnormal signals, and sending the signals to an abnormal time delay analysis module;
according to the main network delay abnormal signal and the access network delay abnormal signal, calculating and analyzing the frequency of the abnormal signal to obtain a feedback signal;
calculating a network delay correction coefficient according to the feedback signal and analyzing to obtain an alarm judgment result;
And respectively taking corresponding measures for optimizing the alarm judgment result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410104104.0A CN117640463B (en) | 2024-01-25 | 2024-01-25 | Satellite broadband short message communication and vital sign health monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410104104.0A CN117640463B (en) | 2024-01-25 | 2024-01-25 | Satellite broadband short message communication and vital sign health monitoring method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117640463A CN117640463A (en) | 2024-03-01 |
| CN117640463B true CN117640463B (en) | 2024-04-19 |
Family
ID=90035800
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410104104.0A Active CN117640463B (en) | 2024-01-25 | 2024-01-25 | Satellite broadband short message communication and vital sign health monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117640463B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103211578A (en) * | 2013-03-26 | 2013-07-24 | 中国人民解放军成都军区总医院 | System for monitoring environmental parameters and human body vital signs |
| CN205195724U (en) * | 2015-12-10 | 2016-04-27 | 云南电网有限责任公司昭通供电局 | Time monitoring system |
| CN112787877A (en) * | 2019-11-07 | 2021-05-11 | 华为技术有限公司 | Network delay detection method and related equipment |
| CN113014505A (en) * | 2021-03-30 | 2021-06-22 | 北京邮电大学 | Transmission control method for time delay differentiation in high dynamic topology satellite network |
| CN114666889A (en) * | 2020-12-23 | 2022-06-24 | 大唐移动通信设备有限公司 | Positioning method, device, equipment and readable storage medium |
| CN114745042A (en) * | 2022-03-28 | 2022-07-12 | 广东天镝科技有限公司 | Method and device for transmitting data of broadband and narrowband integrated satellite network |
| CN116405089A (en) * | 2023-03-06 | 2023-07-07 | 清华大学 | Path verification method and device for satellite Internet |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11671340B1 (en) * | 2021-11-12 | 2023-06-06 | At&T Intellectual Property I, L.P. | Latency diagnostics for multiparty systems |
-
2024
- 2024-01-25 CN CN202410104104.0A patent/CN117640463B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103211578A (en) * | 2013-03-26 | 2013-07-24 | 中国人民解放军成都军区总医院 | System for monitoring environmental parameters and human body vital signs |
| CN205195724U (en) * | 2015-12-10 | 2016-04-27 | 云南电网有限责任公司昭通供电局 | Time monitoring system |
| CN112787877A (en) * | 2019-11-07 | 2021-05-11 | 华为技术有限公司 | Network delay detection method and related equipment |
| CN114666889A (en) * | 2020-12-23 | 2022-06-24 | 大唐移动通信设备有限公司 | Positioning method, device, equipment and readable storage medium |
| CN113014505A (en) * | 2021-03-30 | 2021-06-22 | 北京邮电大学 | Transmission control method for time delay differentiation in high dynamic topology satellite network |
| CN114745042A (en) * | 2022-03-28 | 2022-07-12 | 广东天镝科技有限公司 | Method and device for transmitting data of broadband and narrowband integrated satellite network |
| CN116405089A (en) * | 2023-03-06 | 2023-07-07 | 清华大学 | Path verification method and device for satellite Internet |
Non-Patent Citations (2)
| Title |
|---|
| 面向卫星网络的延迟监测算法及仿真实现;徐帆江;李之棠;;计算机仿真;20100515(05);全文 * |
| 面向智能电网的天地一体化混合路由算法;徐慧慧;李德识;王继业;汪洋;刘鸣柳;;电力信息与通信技术;20200525(05);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117640463A (en) | 2024-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10496466B2 (en) | Preprocessor of abnormality sign diagnosing device and processing method of the same | |
| CN1929412B (en) | Apparatus and method for dynamically debugging a multi-node network | |
| US10416210B2 (en) | Method for measuring dynamics of a flow of energy and relevant device and system | |
| CN109347688A (en) | A kind of method and apparatus of positioning failure in a wireless local area network | |
| CN112734977B (en) | Equipment risk early warning system and algorithm based on Internet of things | |
| CN116980958B (en) | Radio equipment electric fault monitoring method and system based on data identification | |
| KR20190093339A (en) | Advanced remote meter reading system | |
| CN117640463B (en) | Satellite broadband short message communication and vital sign health monitoring method and system | |
| WO2016136391A1 (en) | Fault point locating device and method, electric power system monitoring system, and facility planning support system | |
| CN112729884B (en) | Equipment fault diagnosis method and device based on big data | |
| CN113464414A (en) | Energy-saving operation method of air compression station | |
| KR101886210B1 (en) | Measuring instrument reliability evaluation apparatus and operating method thereof | |
| CN113839706B (en) | Fault point determination method and device for weak light ONU, storage medium and computer equipment | |
| CN101923605B (en) | Wind pre-warning method for railway disaster prevention | |
| CN114740425A (en) | Bluetooth positioning method and system fusing path planning information | |
| CN108345650A (en) | Electronic invoice business monitors method for early warning and system in real time | |
| CN111176931A (en) | Operation monitoring method, operation monitoring device, server and storage medium | |
| CN116744321B (en) | Data regulation and control method for intelligent operation and maintenance integrated platform for 5G communication | |
| CN215006900U (en) | Environmental monitoring system | |
| CN115900635B (en) | Tunnel deformation data monitoring method, device and system | |
| CN117336202B (en) | Multichannel management system and method based on vibration meter controller | |
| CN117559937B (en) | Impedance matching network adjusting method | |
| CN111818044B (en) | Security event reporting system based on multi-level mode | |
| CN116684327B (en) | Mountain area communication network fault monitoring and evaluating method based on cloud computing | |
| JP2001175972A (en) | Abnormality monitoring device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |