CN113885387A - SDP-based big data monitoring method and device, terminal equipment and platform - Google Patents
SDP-based big data monitoring method and device, terminal equipment and platform Download PDFInfo
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- CN113885387A CN113885387A CN202111179782.6A CN202111179782A CN113885387A CN 113885387 A CN113885387 A CN 113885387A CN 202111179782 A CN202111179782 A CN 202111179782A CN 113885387 A CN113885387 A CN 113885387A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000012423 maintenance Methods 0.000 claims abstract description 24
- 230000017525 heat dissipation Effects 0.000 claims abstract description 5
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000013500 data storage Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 6
- 238000012806 monitoring device Methods 0.000 claims description 6
- 238000009423 ventilation Methods 0.000 claims description 4
- 230000003321 amplification Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000009191 jumping Effects 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
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Abstract
The invention discloses a method, a device, terminal equipment and a platform for monitoring big data based on SDP (service provider profile), which relate to the technical field of computer processing data, and comprise an environment creation module, a data acquisition module, an operation module, an environment monitoring module, an early warning module, a maintenance module and a terminal display module, wherein the environment creation module is used for firstly building software and hardware of a computer and classifying and acquiring operation data by using the data acquisition module, the operation module is used as an operation carrier for SDP big data application, and the environment monitoring module is used for monitoring the operation environment of the data in the operation process; the invention carries out environment creation, data acquisition and maintenance operation on the operation system, carries out real-time monitoring on the big data of the computer, strengthens the controllability of the data operation of the computer, and effectively strengthens the stability of the operation of the equipment and prolongs the service life of the equipment by matching with the heat dissipation structure of the added equipment based on the terminal equipment provided with the movable monitor.
Description
Technical Field
The invention relates to the technical field of computer data processing, in particular to a method, a device, terminal equipment and a platform for monitoring big data based on SDP.
Background
Big data refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, is a massive, high-growth-rate and diversified information asset which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode, and attracts more and more attention along with the coming of the cloud era;
at present, a corresponding safety monitoring platform is lacked for a computer and processed big data, and the precision and stability of data operation are influenced, so that the limitation exists; therefore, a method, a device, terminal equipment and a platform for monitoring big data based on SDP are provided.
Disclosure of Invention
The invention mainly aims to provide a method, a device, a terminal device and a platform for monitoring big data based on SDP, so as to solve the problems in the background.
In order to achieve the purpose, the invention adopts the technical scheme that: the utility model provides a big data monitoring platform based on SDP, includes environment creation module, data acquisition module, operating module, environment monitoring module, early warning module, maintenance module and terminal display module, the environment creation module at first builds of computer software and hardware, and utilizes data acquisition module carries out the categorised collection of operational data, operating module utilizes as the operation carrier that the big data of SDP was used environment monitoring module monitors the operational environment of data in the operation process, and utilizes early warning module carries out the safety warning, maintenance module carries out the safety maintenance after the early warning to big data, and by terminal display module carries out the terminal of whole data running state and shows.
Preferably, the environment creation module comprises a device heat dissipation mechanism, a stabilizing mechanism, an installation mechanism and a running center, and further comprises a temperature sensor and a humidity sensor, wherein the temperature sensor and the humidity sensor are electrically connected with the environment monitoring module.
Preferably, the data acquisition module comprises a signal input unit, a data storage unit and a signal output unit, wherein the signal input unit is in communication connection with the data storage unit, and the data storage unit is in communication connection with the signal output unit.
Preferably, the data acquisition module is electrically connected with the operation module, the operation module analyzes and arranges the big data, and the arrangement form of the big data comprises the size according to data content, data loading time and data generation type.
Preferably, the early warning module is electrically connected with the terminal display module, the early warning module transmits early warning information to the terminal display module for display, and the display form is the amplification, the top setting and the jumping of information data.
A big data monitoring method based on SDP comprises the following steps:
the method comprises the following steps: based on the SDP, building an operation carrier by using computer equipment;
step two: acquiring corresponding data by using corresponding data acquisition equipment;
step three: analyzing and sorting the acquired data;
step four: after the monitoring, the data environment monitoring is carried out, including the monitoring of software and hardware of the equipment, and the running state of the external environment is kept;
step five: the monitoring result is connected with the early warning end, and the early warning end gives an alarm when the monitoring is abnormal;
step six: based on the steps, displaying the abnormal alarm on the terminal module, and displaying the abnormal alarm on a terminal display;
step seven: and maintaining the data, correcting the data to keep normal, and finishing monitoring based on SDP big data.
Preferably, in the seventh step, data maintenance is performed, including software maintenance and hardware maintenance, manual maintenance and active maintenance of the system.
The utility model provides a big data monitoring device based on SDP, includes casing, display and removal wheel, the casing side surface is connected with the display, casing bottom threaded connection has the removal wheel, the watch-dog is installed to the casing upper end, the watch-dog bottom is connected with the slider, the casing upper surface is provided with the spout, the slider suits with the spout position, just slider and spout sliding fit, the casing bottom is provided with the recess, recess internally mounted has the radiator, the radiator is connected with the recess buckle, radiator bottom side surface is connected with the aviation duct, casing side surface mounting has the ventilative board, the output and the ventilative board of aviation duct are connected, the casing side surface still is provided with a plurality of data interface and a plurality of power source respectively.
Preferably, a controller is mounted on the side surface of the shell, and the controller is electrically connected with the monitor and the radiator respectively.
Preferably, the ventilation plate is in threaded connection with the housing.
The invention has the following beneficial effects:
the invention is based on an SDP big data monitoring platform, and carries out real-time monitoring on computer big data by carrying out environment establishment, data acquisition and maintenance operation on an operating system, thereby enhancing the controllability of computer data operation.
Secondly, the invention enhances the precision and reliability of data operation by monitoring and alarming the computer operation data based on the SDP big data monitoring method, and the method has high operation efficiency and strong adaptability in the computer data operation monitoring.
Thirdly, the invention is based on the SDP big data monitoring terminal equipment, and can effectively enhance the running stability of the equipment and prolong the service life of the equipment by installing a movable monitor and matching with a heat dissipation structure of the additional equipment.
Drawings
Fig. 1 is an architecture diagram of a SDP-based big data monitoring platform according to the present invention;
fig. 2 is a flowchart of a SDP-based big data monitoring method according to the present invention;
fig. 3 is a schematic diagram of the overall structure of a SDP-based big data monitoring apparatus according to the present invention;
FIG. 4 is a schematic view of a connecting structure of an air duct of the SDP-based big data monitoring device according to the present invention;
fig. 5 is a schematic bottom structure diagram of a SDP-based big data monitoring apparatus according to the present invention.
In the figure: 1. a housing; 2. a display; 3. a controller; 4. a monitor; 5. a slider; 6. a chute; 7. a groove; 8. a heat sink; 9. an air guide pipe; 10. a ventilation plate; 11. a data interface; 12. a power interface; 13. the wheel is moved.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
The first embodiment is as follows:
please refer to fig. 1: the utility model provides a big data monitoring platform based on SDP, including the environment module of establishing, the data acquisition module, operation module, the environment monitoring module, the early warning module, maintenance module and terminal display module, the environment module of establishing at first carries out the buildding of computer software and hardware, and utilize the data acquisition module to carry out the categorised collection of operational data, operation module is as the operation carrier that the big data of SDP was used, utilize the environment monitoring module to monitor the operational environment of data in operation process, and utilize the early warning module to carry out the safety warning, the maintenance module carries out the safety maintenance after the early warning to big data, and carry out the terminal display of whole data running state by terminal display module.
The environment creation module comprises a device heat dissipation mechanism, a stabilizing mechanism, an installation mechanism and an operation center, and further comprises a temperature sensor and a humidity sensor which are electrically connected with the environment monitoring module.
The data acquisition module comprises a signal input unit, a data storage unit and a signal output unit, wherein the signal input unit is in communication connection with the data storage unit, and the data storage unit is in communication connection with the signal output unit.
The data acquisition module is electrically connected with the operation module, the operation module analyzes and arranges the big data, and the arrangement form of the big data comprises the size according to data content, data loading time and data generation type.
The early warning module is electrically connected with the terminal display module, and the early warning module transmits early warning information to the terminal display module to display, and the display form is the amplification, the top setting and the jumping of information data.
The environment creating module also comprises an identity login unit, identity authentication is needed to be carried out on the user in the login process, and the authentication mode adopts a digital account password mode.
Example two:
please refer to fig. 2: a big data monitoring method based on SDP comprises the following steps:
the method comprises the following steps: based on the SDP, building an operation carrier by using computer equipment;
step two: acquiring corresponding data by using corresponding data acquisition equipment;
step three: analyzing and sorting the acquired data;
step four: after the monitoring, the data environment monitoring is carried out, including the monitoring of software and hardware of the equipment, and the running state of the external environment is kept;
step five: the monitoring result is connected with the early warning end, and the early warning end gives an alarm when the monitoring is abnormal;
step six: based on the steps, displaying the abnormal alarm on the terminal module, and displaying the abnormal alarm on a terminal display;
step seven: and maintaining the data, correcting the data to keep normal, and finishing monitoring based on SDP big data.
And seventhly, performing data maintenance including software maintenance, hardware maintenance, manual maintenance and active maintenance of the system.
In this scheme, carry out the analysis arrangement to the data collection, adopt the clustering technique, concentrate information under unordered mode, embody data processing's high scalability: as demand and load grow, more servers may be added to the clustered system, in such a configuration, there may be multiple servers performing the same application and database operations; high availability: under the condition of no need of operator intervention, the cluster system can improve the normal operation time to be more than 99.9 percent by transferring the application program on the fault server to the backup server for operation, thereby greatly reducing the downtime of the server and the application program; high manageability: a system administrator manages one, or even a group of clusters from a remote location as in a stand-alone system.
Example three:
please refer to fig. 3-5: a big data monitoring device based on SDP comprises a shell 1, a display 2 and a moving wheel 13, wherein the side surface of the shell 1 is connected with the display 2, the bottom end of the shell 1 is in threaded connection with the moving wheel 13, the upper end of the shell 1 is provided with a monitor 4, the bottom end of the monitor 4 is connected with a sliding block 5, the upper surface of the shell 1 is provided with a sliding groove 6, the sliding block 5 is matched with the sliding groove 6 in position, the sliding block 5 is in sliding fit with the sliding groove 6, the bottom end of the shell 1 is provided with a groove 7, a radiator 8 is arranged inside the groove 7, the radiator 8 is connected with the groove 7 in a buckling mode, the side surface of the bottom end of the radiator 8 is connected with an air guide pipe 9, the side surface of the shell 1 is provided with an air permeable plate 10, the output end of the air guide pipe 9 is connected with the air permeable plate 10, and the side surface of the shell 1 is also provided with a plurality of data interfaces 11 and a plurality of power interfaces 12 respectively;
wherein, the controller 3 is arranged on the side surface of the shell 1, and the controller 3 is respectively electrically connected with the monitor 4 and the radiator 8; the ventilation plate 10 is screwed to the housing 1.
In this scheme, equipment utilizes display 2 to carry out the demonstration of data and relevant information, and utilize data interface 11 to carry out leading-in derivation of data, the operation in-process, watch-dog 4 can carry out the position by slider 5 cooperation spout 6 and remove, the operation is used more in a flexible way, equipment installs radiator 8 additional in the bottom, cooperation guide duct 9 leads directly to the equipment inside, effectively strengthen the radiating efficiency, promote equipment operating stability, wherein, display 2's the rated output that uses is 55W, watch-dog 4's the rated output that uses is 110W, radiator 8's the rated voltage that uses is 160V.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a big data monitoring platform based on SDP which characterized in that: the system comprises an environment creating module, a data acquisition module, an operation module, an environment monitoring module, an early warning module, a maintenance module and a terminal display module, wherein the environment creating module is used for firstly building software and hardware of a computer and utilizing the data acquisition module to carry out classified acquisition of running data, the operation module is used as an operation carrier for SDP (service data package) big data application, the operation carrier is utilized in the operation process, the environment monitoring module is used for monitoring the running environment of the data and utilizing the early warning module to carry out safety warning, the maintenance module carries out safety maintenance after early warning on the big data, and the terminal display module carries out terminal display of the running state of the whole data.
2. The SDP big data monitoring platform of claim 1, wherein: the environment creation module comprises a device heat dissipation mechanism, a stabilizing mechanism, an installation mechanism and an operation center, and further comprises a temperature sensor and a humidity sensor which are electrically connected with the environment monitoring module.
3. The SDP big data monitoring platform of claim 1, wherein: the data acquisition module comprises a signal input unit, a data storage unit and a signal output unit, wherein the signal input unit is in communication connection with the data storage unit, and the data storage unit is in communication connection with the signal output unit.
4. The SDP big data monitoring platform of claim 1, wherein: the data acquisition module is electrically connected with the operation module, the operation module analyzes and arranges the big data, and the arrangement form of the big data comprises the size according to data content, data loading time and data generation type.
5. The SDP big data monitoring platform of claim 1, wherein: the early warning module is electrically connected with the terminal display module, the early warning module transmits early warning information to the terminal display module to display, and the display form is the amplification, the top setting and the jumping of information data.
6. A big data monitoring method based on SDP is characterized by comprising the following steps:
the method comprises the following steps: based on the SDP, building an operation carrier by using computer equipment;
step two: acquiring corresponding data by using corresponding data acquisition equipment;
step three: analyzing and sorting the acquired data;
step four: after the monitoring, the data environment monitoring is carried out, including the monitoring of software and hardware of the equipment, and the running state of the external environment is kept;
step five: the monitoring result is connected with the early warning end, and the early warning end gives an alarm when the monitoring is abnormal;
step six: based on the steps, displaying the abnormal alarm on the terminal module, and displaying the abnormal alarm on a terminal display;
step seven: and maintaining the data, correcting the data to keep normal, and finishing monitoring based on SDP big data.
7. The SDP-based big data monitoring method according to claim 6, wherein: and seventhly, performing data maintenance, including software maintenance, hardware maintenance, manual maintenance and active maintenance of the system.
8. The SDP-based big data monitoring device comprises a shell (1), a display (2) and a moving wheel (13), wherein the display (2) is connected to the side surface of the shell (1), the moving wheel (13) is connected to the bottom end of the shell (1) in a threaded manner, and is characterized in that a monitor (4) is installed at the upper end of the shell (1), a sliding block (5) is connected to the bottom end of the monitor (4), a sliding groove (6) is formed in the upper surface of the shell (1), the sliding block (5) is matched with the sliding groove (6) in position, the sliding block (5) is in sliding fit with the sliding groove (6), a groove (7) is formed in the bottom end of the shell (1), a radiator (8) is installed inside the groove (7), the radiator (8) is connected with the groove (7) in a buckling manner, and an air guide pipe (9) is connected to the side surface of the bottom end of the radiator (8), the air-permeable plate (10) is installed on the side surface of the shell (1), the output end of the air guide pipe (9) is connected with the air-permeable plate (10), and the side surface of the shell (1) is further provided with a plurality of data interfaces (11) and a plurality of power interfaces (12) respectively.
9. An SDP-based big data monitoring device according to claim 8, characterized in that a controller (3) is installed on the side surface of the housing (1), and the controller (3) is electrically connected with the monitor (4) and the heat sink (8), respectively.
10. SDP-based big data monitoring device according to claim 9, characterised in that the ventilation board (10) is screwed to the housing (1).
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111179782.6A CN113885387A (en) | 2021-10-11 | 2021-10-11 | SDP-based big data monitoring method and device, terminal equipment and platform |
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| CN202111179782.6A CN113885387A (en) | 2021-10-11 | 2021-10-11 | SDP-based big data monitoring method and device, terminal equipment and platform |
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2021
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