CN111552972B - Deep learning system based on big data - Google Patents
Deep learning system based on big data Download PDFInfo
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- CN111552972B CN111552972B CN202010525502.1A CN202010525502A CN111552972B CN 111552972 B CN111552972 B CN 111552972B CN 202010525502 A CN202010525502 A CN 202010525502A CN 111552972 B CN111552972 B CN 111552972B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/562—Static detection
- G06F21/563—Static detection by source code analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/08—Error detection or correction by redundancy in data representation, e.g. by using checking codes
- G06F11/10—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's
- G06F11/1004—Adding special bits or symbols to the coded information, e.g. parity check, casting out 9's or 11's to protect a block of data words, e.g. CRC or checksum
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
- G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication
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Abstract
The invention discloses a deep learning system based on big data, and particularly relates to the technical field of big data information acquisition. The invention is provided with the field effect tube, the protective resistor, the self-recovery fuse and the overcurrent protection rheostat, and the field effect tube, the protective resistor, the self-recovery fuse and the overcurrent protection rheostat are utilized to jointly form a circuit overcurrent protection system, so that the system device is not easy to have the accident problems of shutdown and paralysis, and the working quality and the working efficiency of the device are improved.
Description
Technical Field
The invention relates to the technical field of big data information acquisition, in particular to a deep learning system based on big data.
Background
Definition of big data: the big data has stronger decision-making power, insight discovery power and process optimization capability to adapt to massive, high-growth rate and diversified information assets only by a new processing mode, is technically inseparable as the front and back surfaces of a coin, obviously cannot be processed by a single computer, and is technically characterized in that distributed data mining is carried out on massive data, but the big data needs distributed processing, a distributed database, cloud storage and virtualization technologies of cloud computing, so that basic information and main information of each website can be acquired, the big data needs special technologies to effectively process massive data within a time period, and the technology is suitable for big data.
However, in practical use, there still exist some disadvantages, such as:
1. when the existing big data acquisition information acquires the confidence by using a distributed architecture, the existing big data acquisition technology cannot ensure that each acquisition node can be detected and protected in real time, once external virus codes attack data collected by each node, the virus damage file can be renamed, deleted, replaced, inverted or copied, part of program codes are lost, the writing time is blank, the file is divided or counterfeited, a file cluster is lost, the data file is lost and the like, the file damaged by the virus cannot be used if the virus is not killed in time, and therefore the information protection effect of the device is poor.
2. When the existing big data learning system is used, a circuit protection device is lacked in a circuit of the system, once the information acquisition inside the big data learning system is too fast, the memory occupies a large amount, the temperature of a hardware device of the whole system can be increased, and the device is short-circuited, cut off and shut down, so that the safety of the device in normal use is not facilitated, the practical effect of the device is reduced, when the system is serious, important files of the whole system can be lost due to sudden power failure, and the use value of the device is greatly reduced.
3. When the existing device is used, because the inside of the device lacks an overcurrent protection device for the whole circuit system, the whole device is easy to have the unexpected problems of short circuit, power failure and shutdown when running at high speed, and once the device is paralyzed, the working progress of the device can be influenced, the usability of the device is reduced, the working quality and the working efficiency of the device are reduced, and the normal engineering progress of the device is not facilitated.
It is therefore desirable to provide a big data based deep learning system with over-current protection and virus intrusion prevention.
Disclosure of Invention
In order to overcome the above defects in the prior art, embodiments of the present invention provide a deep learning system based on big data, and a virus checking and self-protection system is composed of a master control system center, a multi-bit CRC check module, a heuristic intelligent code analysis module, a memory detoxification module, a dynamic data recovery module, and an autoimmune module, and is formed by using the master control system center, the multi-bit CRC check module, the heuristic intelligent code analysis module, the memory detoxification module, the dynamic data recovery module, and the autoimmune module, so that the virus checking and self-protection system can perform a detection and checking work on each confidence collecting node in the system in real time, ensure a normal work of the device and an operation of preventing Trojan virus intrusion, and solve the problems proposed in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a deep learning system based on big data comprises a power supply, wherein the output end of the power supply is electrically connected with an alternating current transmission line, the output end of the alternating current transmission line is electrically connected with a voltage stabilizing circuit, the output end of the alternating current transmission line is electrically connected with a main control circuit, the output end of the voltage stabilizing circuit is electrically connected with a field effect tube, the output end of the field effect tube is electrically connected with a protection resistor, the output end of the main control circuit is electrically connected with a main control switch, the output end of the voltage stabilizing circuit is electrically connected with a self-recovery fuse, the output end of the voltage stabilizing circuit is electrically connected with a branching switch, and the output end of the self-recovery fuse is electrically connected with an overcurrent protection rheostat;
the output electric connection of master control circuit has system software, system software's output electric connection has administrator's authentication, administrator's authentication's output electric connection has password information to verify, password information verifies's output electric connection has the input endpoint to select, the output electric connection that input endpoint selected has the start protection device, the output electric connection that input endpoint selected always accomodates storage CPU, always accomodate storage CPU's output electric connection has teacher's information system, teacher's information system's output electric connection has parent's information system, always accomodate storage CPU's output electric connection has student's information system, teacher's information system's output electric connection has preliminary information processing, preliminary information processing's output electric connection has information preliminary detection, preliminary information processing's output electric connection has information collection CPU, master control system's output electric connection has teacher's system center, master control system center's output electric connection has many CRC module, master control system center's output electric connection has heuristic intelligent code analysis module, master control system center's output electric connection has memory module, master control system center's output electric connection has the electric connection of detoxification module, master control system center has dynamic data reduction module, system center's output electric connection has the electrical connection of many CRC module self, immunization module.
In a preferred embodiment, the field effect transistor, the protection resistor, the self-recovery fuse and the overcurrent protection varistor form a circuit overcurrent protection system together.
In a preferred embodiment, the main control switch and the branch switch work independently without interference, and both the main control switch and the branch switch adopt intelligent self-cut-off switch devices.
In a preferred embodiment, the teacher information system, the student information system and the family information system are controlled by a total storage CPU, and the teacher information system, the student information system and the family information system belong to the same level and work independently without interference.
In a preferred embodiment, the output ends of the teacher information system, the student information system and the family information system are electrically connected with a primary information processing, primary information detecting and information collecting CPU, and the primary information processing, primary information detecting and information collecting CPU jointly form an information collecting device, and the information collecting device collects, stores and carries information through each website.
In a preferred embodiment, the total storage CPU extracts and backups the information in each information collection CPU.
In a preferred embodiment, the master control system center, the multi-bit CRC check module, the heuristic intelligent code analysis module, the memory detoxification module, the dynamic data recovery module and the autoimmune module together form a virus killing and self-protection system, and the multi-bit CRC check module, the heuristic intelligent code analysis module, the memory detoxification module, the dynamic data recovery module and the autoimmune module are directly controlled by the master control system center.
The invention has the technical effects and advantages that:
1. the virus checking and killing and self-protection system is formed by the master control system center, the multi-bit CRC check module, the heuristic intelligent code analysis module, the memory detoxification module, the dynamic data recovery module and the self-immunity module, so that the virus checking and killing and self-protection system can detect and kill each confidence collection node in the system in real time, and the normal work of the device and the operation of preventing the invasion of Trojan viruses are ensured.
2. According to the invention, the field effect tube, the protection resistor, the self-recovery fuse and the overcurrent protection rheostat are arranged, the field effect tube, the protection resistor, the self-recovery fuse and the overcurrent protection rheostat are utilized to jointly form a circuit overcurrent protection system, and the current and voltage of the whole system device are adjusted and detected in real time by utilizing the circuit overcurrent protection system, so that the information acquisition in the big data learning system is too fast, the memory occupation is larger, and when the temperature of a hardware device of the whole system is increased, the circuit overcurrent protection system avoids the accidental problems of short circuit, power failure and shutdown of the device, and the safety of the device in normal use is improved.
3. The invention is provided with the field effect tube, the protective resistor, the self-recovery fuse and the overcurrent protection rheostat, and the field effect tube, the protective resistor, the self-recovery fuse and the overcurrent protection rheostat are utilized to jointly form a circuit overcurrent protection system, so that the system device is not easy to have the accident problems of shutdown and paralysis, the working quality and the working efficiency of the device are increased, and the normal engineering progress of the device is ensured.
Drawings
Fig. 1 is a schematic view of the overall structure of the present invention.
Fig. 2 is a schematic view of the whole information collection process of the campus system according to the present invention.
FIG. 3 is a schematic view of the flow of killing Trojan virus according to the present invention.
FIG. 4 is a schematic diagram of a virus killing and self-protection system according to the present invention.
Fig. 5 is a schematic structural diagram of a circuit overcurrent protection system according to the present invention.
The reference signs are: 1. a power source; 2. an AC transmission line; 3. a voltage stabilizing circuit; 4. a master control circuit; 5. a field effect transistor; 6. a protection resistor; 7. a master switch; 8. a self-recovery fuse; 9. a branching switch; 10. an overcurrent protection varistor; 11. system software; 12. verifying the identity of an administrator; 13. verifying the password information; 14. selecting an input endpoint; 15. starting a protection device; 16. a general storage CPU; 17. a teacher information system; 18. a parental information system; 19. a student information system; 20. preliminary information processing; 21. Preliminary detection of information; 22. an information collection CPU; 23. a master control system center; 24. a multi-bit CRC check module; 25. a heuristic intelligent code analysis module; 26. a memory detoxification module; 27. a dynamic data reduction module; 28. an autoimmune module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The deep learning system based on big data shown in fig. 1-5 comprises a power supply 1, wherein the output end of the power supply 1 is electrically connected with an alternating current transmission line 2, the output end of the alternating current transmission line 2 is electrically connected with a voltage stabilizing circuit 3, the output end of the alternating current transmission line 2 is electrically connected with a main control circuit 4, the output end of the voltage stabilizing circuit 3 is electrically connected with a field effect transistor 5, the output end of the field effect transistor 5 is electrically connected with a protection resistor 6, the output end of the main control circuit 4 is electrically connected with a main control switch 7, the output end of the voltage stabilizing circuit 3 is electrically connected with a self-recovery fuse 8, the output end of the voltage stabilizing circuit 3 is electrically connected with a branching switch 9, and the output end of the self-recovery fuse 8 is electrically connected with an overcurrent protection rheostat 10;
the output end of the master control circuit 4 is electrically connected with a system software 11, the output end of the system software 11 is electrically connected with a manager identity authentication 12, the output end of the manager identity authentication 12 is electrically connected with a password information authentication 13, the output end of the password information authentication 13 is electrically connected with an input end point selection 14, the output end of the input end point selection 14 is electrically connected with a start protection device 15, the output end of the input end point selection 14 is electrically connected with a total storage CPU16, the output end of the total storage CPU16 is electrically connected with a teacher information system 17, the output end of the teacher information system 17 is electrically connected with a parent information system 18, the output end of the total storage CPU16 is electrically connected with a student information system 19, the output end of the teacher information system 17 is electrically connected with a primary information processing system 20, the output end of the primary information processing system 20 is electrically connected with a primary information detection 21, the output end of the primary information processing system 20 is electrically connected with an information collection CPU22, the output end of the teacher information system 17 is electrically connected with a master system center 23, the output end of the master control system center 23 is electrically connected with a multi-bit CRC check module 24, the output end of the master control system center 23 is electrically connected with a heuristic intelligent code analysis module 25, the master control system center 23 and a branch control switch 7, the master control switch 23 are electrically connected with a branch control switch 7, the master control switch 16, the master control system center 23, the master control switch 7 and the master control switch 16 are connected with a branch control switch 9, and teacher information system 17, student information system 19 and head of a family information system 18 belong to the tie, the independent work, each other does not interfere, teacher information system 17, student information system 19 and head of a family information system 18's the equal electrically connected with of output has preliminary information processing 20, information detects 21 and information collection CPU22 preliminarily, and preliminary information processing 20, information detects 21 and information collection CPU22 and has constituteed an information collection device jointly, the information collection device carries out the work of information acquisition and storage transport through each website, always accomodate and store CPU16 and draw and backup the storage with the inside information of each information collection CPU 22.
Referring to fig. 4 of the specification specifically, the master control system center 23, the multi-bit CRC check module 24, the heuristic intelligent code analysis module 25, the memory detoxification module 26, the dynamic data recovery module 27, and the autoimmune module 28 together form a virus killing and self-protection system, and the multi-bit CRC check module 24, the heuristic intelligent code analysis module 25, the memory detoxification module 26, the dynamic data recovery module 27, and the autoimmune module 28 are all directly controlled by the master control system center 23.
The implementation mode specifically comprises the following steps: a virus searching and killing and self-protection system is formed by the aid of the master control system center 23, the multi-bit CRC checking module 24, the heuristic intelligent code analysis module 25, the memory detoxification module 26, the dynamic data restoration module 27 and the self-immunity module 28, so that the virus searching and killing and self-protection system can detect and check and kill each confidence collection node in the system in real time, and normal work of the device and operation of preventing Trojan virus invasion are guaranteed.
Referring to the attached figure 5 of the specification, a field effect transistor 5, a protection resistor 6, a self-recovery fuse 8 and an overcurrent protection varistor 10 jointly form a circuit overcurrent protection system.
The implementation mode specifically comprises the following steps: the circuit overcurrent protection system is utilized to adjust and detect the current and the voltage of the whole system device in real time, so that the information acquisition in the big data learning system is too fast, the memory occupies a large amount, when the temperature of the hardware device of the whole system rises, the circuit overcurrent protection system avoids the accidental problems of short circuit, power failure and shutdown of the device, and the safety of the device in normal use is improved.
The working principle of the invention is as follows:
the first step is as follows: the operator first assembles the various components of the device normally and then starts the device normally.
The second step is that: the virus checking and killing and self-protection system is used for detecting and killing each confidence collecting node in the system in real time, so that the normal work of the device and the operation of preventing Trojan virus invasion are ensured, and then the current and the voltage of the whole system device are adjusted and detected in real time by using the circuit overcurrent protection system, so that the circuit overcurrent protection system avoids the accidental problems of short circuit, power failure and shutdown of the device, and the safety of the device in normal use is improved.
The third step: firstly, an operator normally closes the device, then the operator checks whether the fixity among all components of the device is normal, then parts which are seriously aged and worn in the device are replaced and maintained, then the operator packs and filters the collected information to extract, and finally the device completes the work flow of overcurrent protection and virus killing and protection of the system.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiment of the invention, only the structures related to the disclosed embodiment are related, other structures can refer to common design, and the same embodiment and different embodiments of the invention can be combined mutually under the condition of no conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. The utility model provides a degree of deep learning system based on big data, includes power (1), the output electric connection of power (1) has alternating current transmission line (2), the output electric connection of alternating current transmission line (2) has voltage stabilizing circuit (3), the output electric connection of alternating current transmission line (2) has master control circuit (4), its characterized in that: the output end of the voltage stabilizing circuit (3) is electrically connected with a field effect transistor (5), the output end of the field effect transistor (5) is electrically connected with a protection resistor (6), the output end of the main control circuit (4) is electrically connected with a main control switch (7), the output end of the voltage stabilizing circuit (3) is electrically connected with a self-recovery fuse (8), the output end of the voltage stabilizing circuit (3) is electrically connected with a branching switch (9), and the output end of the self-recovery fuse (8) is electrically connected with an overcurrent protection rheostat (10);
the output end of the master control circuit (4) is electrically connected with system software (11), the output end of the system software (11) is electrically connected with administrator identity verification (12), the output end of the administrator identity verification (12) is electrically connected with password information verification (13), the output end of the password information verification (13) is electrically connected with input end point selection (14), the output end of the input end point selection (14) is electrically connected with a starting protection device (15), the output end of the input end point selection (14) is electrically connected with a general storage CPU (16), the output end of the general storage CPU (16) is electrically connected with a teacher information system (17), the output end of the teacher information system (17) is electrically connected with a parent information system (18), the output end of the general storage CPU (16) is electrically connected with a student information system (19), the output end of the teacher information system (17) is electrically connected with a primary information processing (20), the output end of the primary information processing (20) is electrically connected with a primary information detection (21), the output end of the primary information processing (20) is electrically connected with an information collection CPU (22), the output end of the teacher information system (17) is electrically connected with a multi-position electrical checking module (23), the output end of the master control system center (23) is electrically connected with a heuristic intelligent code analysis module (25), the output end of the master control system center (23) is electrically connected with a memory detoxification module (26), the output end of the master control system center (23) is electrically connected with a dynamic data recovery module (27), and the output end of the master control system center (23) is electrically connected with an autoimmune module (28).
2. The big-data-based deep learning system according to claim 1, wherein: the field effect tube (5), the protective resistor (6), the self-recovery fuse (8) and the overcurrent protection rheostat (10) jointly form a circuit overcurrent protection system.
3. The big-data-based deep learning system according to claim 1, wherein: the main control switch (7) and the branching switch (9) work independently and do not interfere with each other, and the main control switch (7) and the branching switch (9) both adopt intelligent self-cut-off switch devices.
4. The big data-based deep learning system according to claim 1, wherein: teacher information system (17), student information system (19) and head of a family information system (18) are controlled by total storage CPU (16) jointly, and teacher information system (17), student information system (19) and head of a family information system (18) belong to the tie level, and the independent work does not mutually interfere.
5. The big-data-based deep learning system according to claim 1, wherein: teacher information system (17), student information system (19) and head of a family information system (18)'s the equal electric connection of output has preliminary information processing (20), information preliminary detection (21) and information collection CPU (22), and just preliminary information processing (20), information preliminary detection (21) and information collection CPU (22) have constituteed an information collection device jointly, and the information collection device carries out information acquisition and stores the work of transport through each website.
6. The big-data-based deep learning system according to claim 1, wherein: the total storage CPU (16) extracts and backups the information in each information collection CPU (22).
7. The big-data-based deep learning system according to claim 1, wherein: the master control system center (23), the multi-bit CRC check module (24), the heuristic intelligent code analysis module (25), the memory detoxification module (26), the dynamic data recovery module (27) and the autoimmune module (28) jointly form a virus killing and self-protection system, and the multi-bit CRC check module (24), the heuristic intelligent code analysis module (25), the memory detoxification module (26), the dynamic data recovery module (27) and the autoimmune module (28) are directly controlled by the master control system center (23).
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| CN105592107B (en) * | 2016-03-01 | 2018-10-23 | 南京富岛信息工程有限公司 | A kind of safe harvester of industrial process data based on FPGA and method |
| CN108572587A (en) * | 2017-12-25 | 2018-09-25 | 人民电器集团上海有限公司 | A kind of microcomputer background monitoring system |
| CN107920137A (en) * | 2018-01-12 | 2018-04-17 | 成都互聚科技有限公司 | A kind of safe communication system |
| CN109308062A (en) * | 2018-11-28 | 2019-02-05 | 广东百应信息科技有限公司 | A kind of production equipment monitoring network integrated system |
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