CN117318796B - Edge data computing and evaluating system based on satellite communication - Google Patents
Edge data computing and evaluating system based on satellite communication Download PDFInfo
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Abstract
The invention discloses an edge data calculation evaluating system based on satellite communication, which belongs to the field of evaluating systems and comprises a calculation efficiency acquisition module, a temperature and humidity acquisition module, a running time acquisition module, a data receiving module, a data analysis module, a data importing module, an evaluating and grading module, a master control module and a notification module; the computing efficiency acquisition module is used for acquiring delay time and computing time of the current edge data computing equipment and network fluctuation data; the temperature and humidity acquisition module is used for acquiring temperature and humidity data in the current edge data computing equipment and temperature and humidity data in an external environment; the run-time acquisition module is used for acquiring the run-time of the current edge data computing device. The invention can comprehensively evaluate the running state and the environment of the edge data computing equipment, thereby facilitating the staff to further know the performance of the edge data computing equipment.
Description
Technical Field
The invention relates to an evaluation system, in particular to an edge data calculation evaluation system based on satellite communication.
Background
Satellite communication is communication between radio communication stations on earth (including the ground and the lower atmosphere) using satellites as relays. The satellite communication system consists of two parts of satellite and earth station, and has the features of wide communication range, high reliability, fast circuit opening, flexible circuit setting, capacity of dispersing concentrated telephone traffic, capacity of being used in different directions or different areas, etc. Satellite communication is an important result of combining the aerospace technology and the modern communication technology, and has wide application in the fields of military, emergency, broadcast television, mobile communication, internet access and the like.
Edge data computing devices are widely used in the satellite communications field, and edge data computing devices refer to hardware devices that are located at the edge of a network, and through distributed computing capabilities, can perform computations and provide various services in close proximity to data sources and end users.
The prior art has the following problems: the staff can not comprehensively evaluate the operation state and the environment of the edge data computing equipment, so that the staff can not know the performance of the edge data computing equipment further conveniently. Accordingly, a system for computing and evaluating edge data based on satellite communication is provided by those skilled in the art to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide an edge data computing and evaluating system based on satellite communication, which can comprehensively evaluate the running state and the environment of edge data computing equipment, so that a worker can conveniently further know the performance of the edge data computing equipment, and the problems in the background technology are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The system comprises a calculation efficiency acquisition module, a temperature and humidity acquisition module, a running time acquisition module, a data receiving module, a data analysis module, a data importing module, an evaluation grading module, a master control module and a notification module;
The computing efficiency acquisition module is used for acquiring delay time and computing time of the current edge data computing equipment and network fluctuation data; the temperature and humidity acquisition module is used for acquiring temperature and humidity data in the current edge data computing equipment and temperature and humidity data in an external environment; the running time acquisition module is used for acquiring the running time of the current edge data computing equipment; the data receiving module is used for receiving the data acquired by the calculation efficiency acquisition module, the temperature and humidity acquisition module and the running time acquisition module and inputting the received data to the data analysis module; the data importing module is used for importing normal data of the edge data computing equipment and inputting the normal data into the data analyzing module; the data analysis module analyzes all data after receiving the data transmitted by the data importing module and the data receiving module, and inputs the analyzed data to the evaluation grading module; the evaluation and measurement grade module is used for evaluating and grading the data transmitted by the data analysis module and inputting the evaluation and grading result and the acquired data to the master control module; the master control module integrates the received information and sends the integrated information to the notification module; the notification module sends the integration information to relevant staff after receiving the integration information.
As a further scheme of the invention: the specific analysis process of the data analysis module to the data acquired by the calculation efficiency acquisition module is as follows:
S1: the method comprises the steps of marking delay time data of collected current edge data computing equipment as T1, marking the computing time data of the collected current edge data computing equipment as A1, and marking the network fluctuation data of the collected current edge data computing equipment as B1;
s2: the delay time data imported by the data importing module is marked as T2, the calculation time data imported by the data importing module is marked as A2, and the network fluctuation data imported by the data importing module is marked as B2;
S3: the delay time data difference T can be obtained by the formula T1-t2=t;
s4: the calculated time data difference a can be obtained by the formula a1-a2=a;
S5: the network fluctuation data difference B can be obtained through the formula B1-b2=b;
s6: when t is larger than a preset value, the delay of the current edge data computing device is severe, and when t is within a preset range value, the delay of the current edge data computing device is slight;
S7: when a is larger than a preset value, the computing capacity of the current edge data computing equipment is seriously reduced, and when t is within a preset range value, the computing capacity of the current edge data computing equipment is slightly reduced;
S8: when b is larger than a preset value, the network fluctuation of the current edge data computing equipment is severe, and when t is within a preset range value, the network fluctuation of the current edge data computing equipment is slight;
S9: all analysis information is displayed on the display screen.
As still further aspects of the invention: the specific analysis process of the data analysis module to the data acquired by the temperature and humidity acquisition module is as follows:
(1): marking the temperature data inside the collected current edge data computing equipment as C1, marking the humidity data inside the collected current edge data computing equipment as D1, marking the temperature data outside the collected current edge data computing equipment as E1, and marking the humidity data outside the collected current edge data computing equipment as F1;
(2): marking the internal temperature data of the edge data computing equipment imported by the data importing module as C2, marking the internal humidity data of the edge data computing equipment imported by the data importing module as D2, marking the external temperature data of the edge data computing equipment imported by the data importing module as E2, and marking the external humidity data of the edge data computing equipment imported by the data importing module as F2;
(3): the difference value C of the internal temperature data of the edge data computing device can be obtained through the formula of C1-C2=c;
(4): the difference D of the internal humidity data of the edge data computing device can be obtained through the formula D1-D2=d;
(5): the external temperature data difference E of the edge data computing device can be obtained through the formula E1-E2=e;
(6): the external humidity data difference F of the edge data computing device can be obtained through the formula F1-f2=f;
(7): when c is larger than a preset value, the internal temperature of the current edge data computing device is higher, and when c is within a preset range value, the internal temperature of the current edge data computing device is lower;
(8): when e is larger than a preset value, the external temperature of the current edge data computing equipment is higher, so that the internal temperature of the edge data computing equipment is influenced, and when e is within a preset range value, the external temperature of the current edge data computing equipment is lower, and the internal temperature of the edge data computing equipment is not related to the external temperature;
(9): when d is larger than a preset value, the internal humidity of the current edge data computing equipment is higher, and when d is within a preset range value, the internal humidity of the current edge data computing equipment is lower;
(10): when f is greater than a preset value, the external humidity of the current edge data computing equipment is higher, so that the internal humidity of the edge data computing equipment is influenced, and when f is within a preset range value, the external humidity of the current edge data computing equipment is lower, and the internal humidity of the edge data computing equipment is not related to the external humidity;
(11): all analysis information is displayed on the display screen.
As still further aspects of the invention: the specific analysis process of the data analysis module to the data collected by the running time collection module is as follows:
1): marking the running time of the acquired current edge data computing device as G1;
2): the operation time of the edge data computing device imported by the data importing module is marked as G2;
3): the difference in runtime data G can be obtained by the formula g1-g2=g;
4): when g is larger than a preset value, the running time of the current edge data computing device is longer, and when t is within a preset range value, the running time of the current edge data computing device is shorter;
5): all analysis information is displayed on the display screen.
As still further aspects of the invention: the evaluation and grading module is used for evaluating and grading the data transmitted by the data analysis module, and the specific process of the evaluation and grading is as follows:
When the delay time data difference value t is larger than a preset value, the calculation time data difference value a is larger than a preset value, the network fluctuation data difference value b is larger than a preset value, and a three-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
when any two of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are larger than a preset value, a secondary abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
When any one of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b is larger than a preset value, a first-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
When the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are all within a preset range value, issuing an evaluation result of normal operation state of the edge data calculation equipment;
when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within the preset range value, and an evaluation result of the normal environment where the edge data computing equipment is located is issued;
when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are larger than preset values, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within preset range values, and an evaluation result of four-level abnormality of the environment where the edge data computing equipment is located is issued;
When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are both larger than a preset value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are both larger than the preset value, and an evaluation result of three-level abnormality of the environment where the edge data computing equipment is located is issued;
When any one of the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment is larger than a preset value, any one of the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment is larger than the preset value, an evaluation result of the secondary abnormality of the environment where the edge data computing equipment is located is issued;
When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are larger than the preset value, and an evaluation result of the first-level abnormality of the environment where the edge data computing equipment is located is issued;
when the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is larger than a preset value, outputting a comprehensive evaluation grading result to be qualified at one stage;
When the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result to be qualified in the second stage;
when the operation state of the edge data computing equipment and the environment are abnormal and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result as a first-level disqualification;
when the operation state of the edge data computing equipment and the environment are abnormal and the difference value g of the operation time data is larger than a preset value, outputting a comprehensive evaluation grading result to be a secondary disqualification;
And calculating and outputting a failure index according to the comprehensive evaluation grading result of the primary failure and the secondary failure.
As still further aspects of the invention: the specific calculation process of the disqualification index is as follows:
Adding a weight value to the operation state of the edge data computing equipment, wherein the weight value of the three-level abnormal evaluation result is 0.6, the weight value of the two-level abnormal evaluation result is 0.4, the weight value of the first-level abnormal evaluation result is 0.2, and the weight value of the operation state is 0;
Adding a weight value to the environment where the edge data computing equipment is located, wherein the weight value of a four-level abnormal evaluation result is 0.4, the weight value of a three-level abnormal evaluation result is 0.3, the weight value of a second-level abnormal evaluation result is 0.2, the weight value of a first-level abnormal evaluation result is 0.1, and the weight value of the environment where the edge data computing equipment is located is normal is 0;
And adding the additional weight value of the operation state of the edge data computing equipment and the additional weight value of the environment where the edge data computing equipment is positioned to obtain the disqualification index.
As still further aspects of the invention: the notification module sends information to notify related staff in a short message notification or intelligent voice phone mode.
Compared with the prior art, the invention has the beneficial effects that:
According to the application, through collecting the delay time and calculation time of the current edge data calculation equipment, network fluctuation data, temperature and humidity data in the current edge data calculation equipment and temperature and humidity data of an external environment and then comprehensively analyzing the current edge data calculation equipment by combining the running time of the current edge data calculation equipment, the running state and the environment of the edge data calculation equipment can be comprehensively evaluated, and the evaluation result is graded, so that the performance of the edge data calculation equipment can be more intuitively known by staff.
Drawings
FIG. 1 is a block diagram of a system for computing and evaluating edge data based on satellite communications.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 1, in an embodiment of the present application, an edge data computing and evaluating system based on satellite communication includes a computing efficiency acquisition module, a temperature and humidity acquisition module, a running time acquisition module, a data receiving module, a data analysis module, a data importing module, an evaluating and grading module, a master control module, and a notification module; the computing efficiency acquisition module is used for acquiring delay time and computing time of the current edge data computing equipment and network fluctuation data; the temperature and humidity acquisition module is used for acquiring temperature and humidity data in the current edge data computing equipment and temperature and humidity data in an external environment; the running time acquisition module is used for acquiring the running time of the current edge data computing equipment; the data receiving module is used for receiving the data acquired by the calculation efficiency acquisition module, the temperature and humidity acquisition module and the running time acquisition module and inputting the received data to the data analysis module; the data importing module is used for importing normal data of the edge data computing equipment and inputting the normal data into the data analyzing module; the data analysis module is used for analyzing all data after receiving the data transmitted by the data importing module and the data receiving module, and inputting the analyzed data to the evaluation grading module; the evaluation grading module is used for evaluating and grading the data transmitted by the data analysis module and inputting an evaluation grading result and the acquired data into the master control module; the master control module integrates the received information and sends the integrated information to the notification module; the notification module sends the integration information to relevant staff after receiving the integration information. The application can comprehensively evaluate the running state and the environment of the edge data computing equipment, thereby facilitating the staff to further know the performance of the edge data computing equipment.
In this embodiment: the specific analysis process of the data analysis module to the data acquired by the calculation efficiency acquisition module is as follows: s1: the method comprises the steps of marking delay time data of collected current edge data computing equipment as T1, marking the computing time data of the collected current edge data computing equipment as A1, and marking the network fluctuation data of the collected current edge data computing equipment as B1; s2: the delay time data imported by the data importing module is marked as T2, the calculation time data imported by the data importing module is marked as A2, and the network fluctuation data imported by the data importing module is marked as B2; s3: the delay time data difference T can be obtained by the formula T1-t2=t; s4: the calculated time data difference a can be obtained by the formula a1-a2=a; s5: the network fluctuation data difference B can be obtained through the formula B1-b2=b; s6: when t is larger than a preset value, the delay of the current edge data computing device is severe, and when t is within a preset range value, the delay of the current edge data computing device is slight; s7: when a is larger than a preset value, the computing capacity of the current edge data computing equipment is seriously reduced, and when t is within a preset range value, the computing capacity of the current edge data computing equipment is slightly reduced; s8: when b is larger than a preset value, the network fluctuation of the current edge data computing equipment is severe, and when t is within a preset range value, the network fluctuation of the current edge data computing equipment is slight; s9: all analysis information is displayed on the display screen. The setting learns the operational efficiency of the edge data computing device by analyzing the latency, computing power, and network fluctuations of the current edge data computing device.
In this embodiment: the specific analysis process of the data analysis module to the data acquired by the temperature and humidity acquisition module is as follows: (1): marking the temperature data inside the collected current edge data computing equipment as C1, marking the humidity data inside the collected current edge data computing equipment as D1, marking the temperature data outside the collected current edge data computing equipment as E1, and marking the humidity data outside the collected current edge data computing equipment as F1; (2): marking the internal temperature data of the edge data computing equipment imported by the data importing module as C2, marking the internal humidity data of the edge data computing equipment imported by the data importing module as D2, marking the external temperature data of the edge data computing equipment imported by the data importing module as E2, and marking the external humidity data of the edge data computing equipment imported by the data importing module as F2; (3): the difference value C of the internal temperature data of the edge data computing device can be obtained through the formula of C1-C2=c; (4): the difference D of the internal humidity data of the edge data computing device can be obtained through the formula D1-D2=d; (5): the external temperature data difference E of the edge data computing device can be obtained through the formula E1-E2=e; (6): the external humidity data difference F of the edge data computing device can be obtained through the formula F1-f2=f; (7): when c is larger than a preset value, the internal temperature of the current edge data computing device is higher, and when c is within a preset range value, the internal temperature of the current edge data computing device is lower; (8): when e is larger than a preset value, the external temperature of the current edge data computing equipment is higher, so that the internal temperature of the edge data computing equipment is influenced, and when e is within a preset range value, the external temperature of the current edge data computing equipment is lower, and the internal temperature of the edge data computing equipment is not related to the external temperature; (9): when d is larger than a preset value, the internal humidity of the current edge data computing equipment is higher, and when d is within a preset range value, the internal humidity of the current edge data computing equipment is lower; (10): when f is greater than a preset value, the external humidity of the current edge data computing equipment is higher, so that the internal humidity of the edge data computing equipment is influenced, and when f is within a preset range value, the external humidity of the current edge data computing equipment is lower, and the internal humidity of the edge data computing equipment is not related to the external humidity; (11): all analysis information is displayed on the display screen. The setting is used for analyzing the internal and external humiture of the current environment of the edge data computing equipment to obtain the operation environment of the edge data computing equipment.
In this embodiment: the specific analysis process of the data analysis module to the data collected by the running time collection module is as follows: 1): marking the running time of the acquired current edge data computing device as G1; 2): the operation time of the edge data computing device imported by the data importing module is marked as G2; 3): the difference in runtime data G can be obtained by the formula g1-g2=g; 4): when g is larger than a preset value, the running time of the current edge data computing device is longer, and when t is within a preset range value, the running time of the current edge data computing device is shorter; 5): all analysis information is displayed on the display screen. The setting learns whether the edge data computing device is capable of long-time operation without occurrence of an abnormality by analyzing a current operation time of the edge data computing device.
In this embodiment: the evaluation grading module is used for evaluating and grading the data transmitted by the data analysis module, and the specific process of the evaluation grading is as follows: when the delay time data difference value t is larger than a preset value, the calculation time data difference value a is larger than a preset value, the network fluctuation data difference value b is larger than a preset value, and a three-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued; when any two of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are larger than a preset value, a secondary abnormal evaluation result of the operation state of the edge data calculation equipment is issued; when any one of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b is larger than a preset value, a first-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued; When the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are all within a preset range value, issuing an evaluation result of normal operation state of the edge data calculation equipment; when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within the preset range value, and an evaluation result of the normal environment where the edge data computing equipment is located is issued; when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are larger than preset values, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within preset range values, and an evaluation result of four-level abnormality of the environment where the edge data computing equipment is located is issued; When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are both larger than a preset value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are both larger than the preset value, and an evaluation result of three-level abnormality of the environment where the edge data computing equipment is located is issued; when any one of the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment is larger than a preset value, any one of the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment is larger than the preset value, an evaluation result of the secondary abnormality of the environment where the edge data computing equipment is located is issued; When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are larger than the preset value, and an evaluation result of the first-level abnormality of the environment where the edge data computing equipment is located is issued; when the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is larger than a preset value, outputting a comprehensive evaluation grading result to be qualified at one stage; when the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result to be qualified in the second stage; When the operation state of the edge data computing equipment and the environment are abnormal and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result as a first-level disqualification; when the operation state of the edge data computing equipment and the environment are abnormal and the difference value g of the operation time data is larger than a preset value, outputting a comprehensive evaluation grading result to be a secondary disqualification; and calculating and outputting a failure index according to the comprehensive evaluation grading result of the primary failure and the secondary failure. The arrangement can help staff to more intuitively know the performance of the edge data computing device by evaluating and grading the analysis result.
In this embodiment: the specific calculation process of the failure index is as follows: adding a weight value to the operation state of the edge data computing equipment, wherein the weight value of the three-level abnormal evaluation result is 0.6, the weight value of the two-level abnormal evaluation result is 0.4, the weight value of the first-level abnormal evaluation result is 0.2, and the weight value of the operation state is 0; adding a weight value to the environment where the edge data computing equipment is located, wherein the weight value of a four-level abnormal evaluation result is 0.4, the weight value of a three-level abnormal evaluation result is 0.3, the weight value of a second-level abnormal evaluation result is 0.2, the weight value of a first-level abnormal evaluation result is 0.1, and the weight value of the environment where the edge data computing equipment is located is normal is 0; and adding the additional weight value of the operation state of the edge data computing equipment and the additional weight value of the environment where the edge data computing equipment is positioned to obtain the disqualification index. The arrangement facilitates staff to know the severity of the anomaly in the edge data computing device.
In this embodiment: the notification module sends information to notify related staff in a short message notification or intelligent voice phone mode.
According to the invention, through collecting the delay time and calculation time of the current edge data calculation equipment, network fluctuation data, temperature and humidity data in the current edge data calculation equipment and temperature and humidity data of an external environment and then comprehensively analyzing the current edge data calculation equipment by combining the running time of the current edge data calculation equipment, the running state and the environment of the edge data calculation equipment can be comprehensively evaluated, and the evaluation result is graded, so that the performance of the edge data calculation equipment can be more intuitively known by staff.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The foregoing description 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 (3)
1. The edge data computing and evaluating system based on satellite communication is characterized by comprising a computing efficiency acquisition module, a temperature and humidity acquisition module, a running time acquisition module, a data receiving module, a data analysis module, a data importing module, an evaluating and grading module, a master control module and a notification module;
The computing efficiency acquisition module is used for acquiring delay time and computing time of the current edge data computing equipment and network fluctuation data; the temperature and humidity acquisition module is used for acquiring temperature and humidity data in the current edge data computing equipment and temperature and humidity data in an external environment; the running time acquisition module is used for acquiring the running time of the current edge data computing equipment; the data receiving module is used for receiving the data acquired by the calculation efficiency acquisition module, the temperature and humidity acquisition module and the running time acquisition module and inputting the received data to the data analysis module; the data importing module is used for importing normal data of the edge data computing equipment and inputting the normal data into the data analyzing module; the data analysis module analyzes all data after receiving the data transmitted by the data importing module and the data receiving module, and inputs the analyzed data to the evaluation grading module; the evaluation and measurement grade module is used for evaluating and grading the data transmitted by the data analysis module and inputting the evaluation and grading result and the acquired data to the master control module; the master control module integrates the received information and sends the integrated information to the notification module; the notification module sends the integration information to related staff after receiving the integration information;
the specific analysis process of the data analysis module to the data acquired by the calculation efficiency acquisition module is as follows:
S1: the method comprises the steps of marking delay time data of collected current edge data computing equipment as T1, marking the computing time data of the collected current edge data computing equipment as A1, and marking the network fluctuation data of the collected current edge data computing equipment as B1;
s2: the delay time data imported by the data importing module is marked as T2, the calculation time data imported by the data importing module is marked as A2, and the network fluctuation data imported by the data importing module is marked as B2;
S3: the delay time data difference T can be obtained by the formula T1-t2=t;
s4: the calculated time data difference a can be obtained by the formula a1-a2=a;
S5: the network fluctuation data difference B can be obtained through the formula B1-b2=b;
s6: when t is larger than a preset value, the delay of the current edge data computing device is severe, and when t is within a preset range value, the delay of the current edge data computing device is slight;
S7: when a is larger than a preset value, the computing capacity of the current edge data computing equipment is seriously reduced, and when t is within a preset range value, the computing capacity of the current edge data computing equipment is slightly reduced;
S8: when b is larger than a preset value, the network fluctuation of the current edge data computing equipment is severe, and when t is within a preset range value, the network fluctuation of the current edge data computing equipment is slight;
s9: all analysis information is displayed on a display screen;
the specific analysis process of the data analysis module to the data acquired by the temperature and humidity acquisition module is as follows:
(1): marking the temperature data inside the collected current edge data computing equipment as C1, marking the humidity data inside the collected current edge data computing equipment as D1, marking the temperature data outside the collected current edge data computing equipment as E1, and marking the humidity data outside the collected current edge data computing equipment as F1;
(2): marking the internal temperature data of the edge data computing equipment imported by the data importing module as C2, marking the internal humidity data of the edge data computing equipment imported by the data importing module as D2, marking the external temperature data of the edge data computing equipment imported by the data importing module as E2, and marking the external humidity data of the edge data computing equipment imported by the data importing module as F2;
(3): the difference value C of the internal temperature data of the edge data computing device can be obtained through the formula of C1-C2=c;
(4): the difference D of the internal humidity data of the edge data computing device can be obtained through the formula D1-D2=d;
(5): the external temperature data difference E of the edge data computing device can be obtained through the formula E1-E2=e;
(6): the external humidity data difference F of the edge data computing device can be obtained through the formula F1-f2=f;
(7): when c is larger than a preset value, the internal temperature of the current edge data computing device is higher, and when c is within a preset range value, the internal temperature of the current edge data computing device is lower;
(8): when e is larger than a preset value, the external temperature of the current edge data computing equipment is higher, so that the internal temperature of the edge data computing equipment is influenced, and when e is within a preset range value, the external temperature of the current edge data computing equipment is lower, and the internal temperature of the edge data computing equipment is not related to the external temperature;
(9): when d is larger than a preset value, the internal humidity of the current edge data computing equipment is higher, and when d is within a preset range value, the internal humidity of the current edge data computing equipment is lower;
(10): when f is greater than a preset value, the external humidity of the current edge data computing equipment is higher, so that the internal humidity of the edge data computing equipment is influenced, and when f is within a preset range value, the external humidity of the current edge data computing equipment is lower, and the internal humidity of the edge data computing equipment is not related to the external humidity;
(11): all analysis information is displayed on a display screen;
the specific analysis process of the data analysis module to the data collected by the running time collection module is as follows:
1): marking the running time of the acquired current edge data computing device as G1;
2): the operation time of the edge data computing device imported by the data importing module is marked as G2;
3): the difference in runtime data G can be obtained by the formula g1-g2=g;
4): when g is larger than a preset value, the running time of the current edge data computing device is longer, and when t is within a preset range value, the running time of the current edge data computing device is shorter;
5): all analysis information is displayed on a display screen;
the evaluation and grading module is used for evaluating and grading the data transmitted by the data analysis module, and the specific process of the evaluation and grading is as follows:
When the delay time data difference value t is larger than a preset value, the calculation time data difference value a is larger than a preset value, the network fluctuation data difference value b is larger than a preset value, and a three-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
when any two of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are larger than a preset value, a secondary abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
When any one of the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b is larger than a preset value, a first-level abnormal evaluation result of the operation state of the edge data calculation equipment is issued;
When the delay time data difference value t, the calculation time data difference value a and the network fluctuation data difference value b are all within a preset range value, issuing an evaluation result of normal operation state of the edge data calculation equipment;
when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within the preset range value, and an evaluation result of the normal environment where the edge data computing equipment is located is issued;
when the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are larger than preset values, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are within preset range values, and an evaluation result of four-level abnormality of the environment where the edge data computing equipment is located is issued;
When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are both larger than a preset value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are both larger than the preset value, and an evaluation result of three-level abnormality of the environment where the edge data computing equipment is located is issued;
When any one of the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment is larger than a preset value, any one of the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment is larger than the preset value, an evaluation result of the secondary abnormality of the environment where the edge data computing equipment is located is issued;
When the internal temperature data difference value c of the edge data computing equipment and the internal humidity data difference value d of the edge data computing equipment are within a preset range value, the external temperature data difference value e of the edge data computing equipment and the external humidity data difference value f of the edge data computing equipment are larger than the preset value, and an evaluation result of the first-level abnormality of the environment where the edge data computing equipment is located is issued;
when the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is larger than a preset value, outputting a comprehensive evaluation grading result to be qualified at one stage;
When the operation state of the edge data computing equipment is normal, the environment is normal, and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result to be qualified in the second stage;
when the operation state of the edge data computing equipment and the environment are abnormal and the operation time data difference value g is within a preset range value, outputting a comprehensive evaluation grading result as a first-level disqualification;
when the operation state of the edge data computing equipment and the environment are abnormal and the difference value g of the operation time data is larger than a preset value, outputting a comprehensive evaluation grading result to be a secondary disqualification;
And calculating and outputting a failure index according to the comprehensive evaluation grading result of the primary failure and the secondary failure.
2. The system for computing and evaluating edge data based on satellite communication according to claim 1, wherein the specific computing process of the failure index is as follows:
Adding a weight value to the operation state of the edge data computing equipment, wherein the weight value of the three-level abnormal evaluation result is 0.6, the weight value of the two-level abnormal evaluation result is 0.4, the weight value of the first-level abnormal evaluation result is 0.2, and the weight value of the operation state is 0;
Adding a weight value to the environment where the edge data computing equipment is located, wherein the weight value of a four-level abnormal evaluation result is 0.4, the weight value of a three-level abnormal evaluation result is 0.3, the weight value of a second-level abnormal evaluation result is 0.2, the weight value of a first-level abnormal evaluation result is 0.1, and the weight value of the environment where the edge data computing equipment is located is normal is 0;
And adding the additional weight value of the operation state of the edge data computing equipment and the additional weight value of the environment where the edge data computing equipment is positioned to obtain the disqualification index.
3. The system for computing and evaluating edge data based on satellite communication according to claim 2, wherein the notification module sends information to notify the relevant staff in a manner of a short message notification or a smart voice phone.
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