CN116399404B - Network communication management system and method based on big data analysis - Google Patents
Network communication management system and method based on big data analysis Download PDFInfo
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- CN116399404B CN116399404B CN202310662400.8A CN202310662400A CN116399404B CN 116399404 B CN116399404 B CN 116399404B CN 202310662400 A CN202310662400 A CN 202310662400A CN 116399404 B CN116399404 B CN 116399404B
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Abstract
The invention relates to a network communication management system and a network communication management method based on big data analysis, which belong to the technical field of electric digital data processing, and a work abnormality monitoring scheme is designed for a key module part and a heat dissipation device in intelligent equipment for network communication management, when the work abnormality occurs in a module part or the heat dissipation device, the abnormal situation possibly occurring in the module part or the heat dissipation device can be effectively monitored through orderly matched starting among a displacement detection device, a vibration detection device, a module loosening detection device, a heat dissipation loosening detection device, a module displacement detection device and a heat dissipation displacement detection device, so that the visual economic loss and the like caused by network communication faults, communication safety protection failure, communication data leakage are avoided.
Description
Technical Field
The invention belongs to the technical field of electric digital data processing, and particularly relates to a network communication management system and method based on big data analysis.
Background
The network communication safety protection systems of all levels adopt different architectures, so that a set of host computers capable of uniformly managing all network communication safety projects of all levels of areas does not exist, and the data of the network communication safety protection systems of different areas cannot be comprehensively managed, so that the whole system is low in operation efficiency and is not beneficial to comprehensive analysis and operation and maintenance management of big data.
The intelligent equipment for network communication management at present adopts components such as a host machine cabinet, a main control module, a storage module, a switch module, a communication module, a safety protection module, a heat abstractor and the like, can comprehensively manage network communication of all levels of areas, greatly improves the efficiency of data management and system operation and maintenance, and ensures that the heat generated by the whole equipment can be rapidly emitted by the heat abstractor designed by the intelligent equipment, thereby ensuring the stability and reliability of the operation of a network communication management system. The main control module, the storage module, the communication module and the safety protection module are often arranged in a certain area of the intelligent equipment in a centralized way and used for guaranteeing the conventional work of network communication management; the heat dissipation device is arranged in another area of the intelligent equipment and used for guaranteeing heat dissipation work of the intelligent equipment; the two parts are used as the most critical links of the intelligent equipment, but no corresponding working abnormality monitoring scheme is designed for the two links at the present stage, when working abnormality occurs to each component or the radiating device (such as collision occurs in the equipment transportation and carrying processes, so that the installation of the internal components of the equipment is loose, the normal operation of the intelligent equipment at the later stage is influenced), network communication faults and communication safety protection failure can be directly caused, and thus, communication data leakage is caused to cause visual economic loss and the like.
Therefore, a network communication management system and method based on big data analysis are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a network communication management system and a network communication management method based on big data analysis, which are used for solving the technical problems in the prior art, and a corresponding work abnormality monitoring scheme aiming at guaranteeing network communication management and heat dissipation design of intelligent equipment is not available at the present stage, and when work abnormality occurs in each component or heat dissipation device, network communication faults and communication safety protection failure can be directly caused, so that communication data leakage is caused to cause visual economic loss and the like.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the network communication management system based on big data analysis comprises a displacement detection device, a vibration detection device, a module loosening detection device, a heat dissipation loosening detection device, a module displacement detection device, a heat dissipation displacement detection device and a main control device;
the displacement detection device is used for detecting whether the intelligent equipment managed by the network communication is displaced or not;
the vibration detection device is used for detecting whether the intelligent equipment for network communication management vibrates or not and judging whether the vibration intensity reaches the preset vibration intensity or not;
the module loosening detection device is used for detecting whether loosening occurs to a module part in the intelligent equipment or not;
the heat dissipation looseness detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment loosens or not;
the module displacement detection device is used for detecting whether a module part in the intelligent equipment is displaced or not;
the heat dissipation displacement detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment is displaced or not;
the main control device controls the displacement detection device to be normally opened, and controls the vibration detection device, the module loosening detection device, the heat dissipation loosening detection device, the module displacement detection device and the heat dissipation displacement detection device to be normally closed;
when the displacement detection device detects that the intelligent equipment managed by the network communication is displaced, the main control device controls the vibration detection device to be started;
when the vibration detection device detects that the intelligent equipment for network communication management vibrates and the vibration strength reaches the preset vibration strength, the main control device controls the module loosening detection device and the heat dissipation loosening detection device to be started;
if the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the main control device controls the module shifting detection device to be started; if the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the main control device controls the heat dissipation shifting detection device to be started.
Further, the displacement detection device comprises a first processor, a displacement sensor and a data memory, wherein the first processor is respectively connected with the displacement sensor, the data memory and the main control device;
the displacement sensor is used for detecting whether the intelligent equipment managed by the network communication is displaced or not and recording current displacement data;
the data memory stores preset displacement data;
and the first processor compares the displacement data with the preset displacement data, and if the displacement data accords with the preset displacement data, the detection result of the displacement detection device is that the intelligent equipment managed by the network communication is displaced.
Further, the displacement detection device further comprises a vibration sensor, and the vibration sensor is connected with the first processor;
the vibration sensor is used for detecting whether abnormal vibration occurs to the displacement detection device.
Further, the displacement detection device further comprises an image acquisition unit and an auxiliary illumination unit, and the first processor is respectively connected with the image acquisition unit and the auxiliary illumination unit;
the image acquisition unit is used for acquiring real-time image data of the displacement detection device;
the auxiliary illumination unit is used for providing auxiliary illumination for the image acquisition unit.
Further, the displacement detection device is fixedly arranged in the intelligent equipment;
the first processor controls the displacement sensor and the vibration sensor to be normally open, and controls the image acquisition unit and the auxiliary lighting unit to be normally closed;
when the first processor judges that the displacement data accords with the preset displacement data and the vibration sensor detects that the displacement detection device generates abnormal vibration, the first processor controls the image acquisition unit and the auxiliary lighting unit to be started;
the first processor judges whether the displacement detection device falls off or not according to the real-time image data.
Further, the device also comprises an abnormality warning device, and the main control device is connected with the abnormality warning device;
the main control device controls the abnormality warning device to be normally closed;
when the displacement detection device detects that the intelligent equipment for network communication management is displaced, the vibration detection device detects that the intelligent equipment for network communication management is vibrated, the vibration strength reaches the preset vibration strength, the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the module displacement detection device detects that the module part inside the intelligent equipment is displaced, or the heat dissipation displacement detection device detects that the heat dissipation device configured by the intelligent equipment is displaced, the main control device controls the abnormal warning device to carry out corresponding warning.
Further, the system also comprises a wireless communication device and a big data center, wherein the main control device is connected with the big data center through the wireless communication device.
The network communication management method based on big data analysis adopts the network communication management system based on big data analysis to carry out network communication management.
Compared with the prior art, the invention has the following beneficial effects:
one of the beneficial effects of this scheme lies in, design an unusual monitoring scheme of work to key module part and heat abstractor among the intelligent device of network communication management, when the work is unusual for subassembly part or heat abstractor (appear colliding with etc. in equipment transportation, handling, lead to the inside subassembly of equipment to appear the installation loose, influence the normal operating of later stage intelligent device), through displacement detection device, shock detection device, the not hard up detection device of module, the not hard up detection device of heat dissipation, module shift detection device, the orderly cooperation start between the shift detection device of heat dissipation, the unusual circumstances that can effectively monitor subassembly part or heat abstractor probably appear, thereby avoid leading to network communication trouble and communication safety protection inefficacy, communication data reveal and cause audio-visual economic loss etc.. The devices are started successively, so that most of the devices are prevented from being in an invalid action state for a long time, the energy consumption of the system is reduced, detection and collection of a large amount of invalid data can be avoided, and the storage space of the system is saved. Through the transportation and carrying processes of the displacement detection corresponding equipment, the detection result of the displacement detection device is used as a trigger condition for the system operation, and the misoperation of the system under other conditions can be avoided. In the transportation and carrying processes of the intelligent equipment, if the vibration intensity is weak, the probability of abnormality of the intelligent equipment is extremely low; therefore, the vibration detection device is designed to serve as a secondary detection link, and when the vibration intensity is larger, the subsequent loosening detection and displacement detection are triggered, so that the detection efficiency and the detection accuracy are ensured.
Drawings
Fig. 1 is a schematic system configuration diagram of the embodiment.
Fig. 2 is a schematic diagram of the system operation principle of the embodiment.
Fig. 3 is a schematic structural diagram of a displacement detection device according to the embodiment.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
As shown in fig. 1, a network communication management system based on big data analysis is proposed, which comprises a displacement detection device, a vibration detection device, a module loosening detection device, a heat dissipation loosening detection device, a module displacement detection device, a heat dissipation displacement detection device and a main control device;
the displacement detection device is used for detecting whether the intelligent equipment managed by the network communication is displaced or not;
the vibration detection device is used for detecting whether the intelligent equipment for network communication management vibrates or not and judging whether the vibration intensity reaches the preset vibration intensity or not;
the module loosening detection device is used for detecting whether loosening occurs to a module part in the intelligent equipment or not;
the heat dissipation looseness detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment loosens or not;
the module displacement detection device is used for detecting whether a module part in the intelligent equipment is displaced or not;
the heat dissipation displacement detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment is displaced or not;
as shown in fig. 2, the main control device controls the displacement detection device to be normally opened, and controls the vibration detection device, the module loosening detection device, the heat dissipation loosening detection device, the module displacement detection device and the heat dissipation displacement detection device to be normally closed;
when the displacement detection device detects that the intelligent equipment managed by the network communication is displaced, the main control device controls the vibration detection device to be started;
when the vibration detection device detects that the intelligent equipment for network communication management vibrates and the vibration strength reaches the preset vibration strength, the main control device controls the module loosening detection device and the heat dissipation loosening detection device to be started;
if the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the main control device controls the module shifting detection device to be started; if the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the main control device controls the heat dissipation shifting detection device to be started.
In the above scheme, design an unusual monitoring scheme of work to key module part and heat abstractor among the intelligent device of network communication management, when the subassembly part or heat abstractor appear work unusual (appear colliding with etc. in like equipment transportation, handling, lead to the inside subassembly of equipment to appear the installation not hard up, influence the normal operating of later stage intelligent device), through displacement detection device, shock detection device, the not hard up detection device of module, the not hard up detection device of heat dissipation, module shift detection device, the orderly cooperation start between the shift detection device of heat dissipation, the unusual circumstances that can effectively monitor subassembly part or heat abstractor probably appear, thereby avoid leading to network communication trouble and communication safety protection inefficacy, communication data reveal and cause audio-visual economic loss etc.. The devices are started successively, so that most of the devices are prevented from being in an invalid action state for a long time, the energy consumption of the system is reduced, detection and collection of a large amount of invalid data can be avoided, and the storage space of the system is saved. Through the transportation and carrying processes of the displacement detection corresponding equipment, the detection result of the displacement detection device is used as a trigger condition for the system operation, and the misoperation of the system under other conditions can be avoided. In the transportation and carrying processes of the intelligent equipment, if the vibration intensity is weak, the probability of abnormality of the intelligent equipment is extremely low; therefore, the vibration detection device is designed to serve as a secondary detection link, and when the vibration intensity is larger, the subsequent loosening detection and displacement detection are triggered, so that the detection efficiency and the detection accuracy are ensured.
Further, as shown in fig. 3, the displacement detection device includes a first processor, a displacement sensor, and a data storage, where the first processor is connected with the displacement sensor, the data storage, and the master control device respectively;
the displacement sensor is used for detecting whether the intelligent equipment managed by the network communication is displaced or not and recording current displacement data;
the data memory stores preset displacement data;
and the first processor compares the displacement data with the preset displacement data, and if the displacement data accords with the preset displacement data, the detection result of the displacement detection device is that the intelligent equipment managed by the network communication is displaced.
In the above scheme, the intelligent equipment is considered to possibly slide slightly in the transportation and carrying processes, so that the preset displacement data is designed as a reference, and when the actual displacement data reach the preset displacement data (reference), the detection result of the displacement detection device is effective, so that erroneous judgment is avoided.
Further, the displacement detection device further comprises a vibration sensor, and the vibration sensor is connected with the first processor;
the vibration sensor is used for detecting whether abnormal vibration occurs to the displacement detection device.
Further, the displacement detection device further comprises an image acquisition unit and an auxiliary illumination unit, and the first processor is respectively connected with the image acquisition unit and the auxiliary illumination unit;
the image acquisition unit is used for acquiring real-time image data of the displacement detection device;
the auxiliary illumination unit is used for providing auxiliary illumination for the image acquisition unit.
Further, the displacement detection device is fixedly arranged in the intelligent equipment;
the first processor controls the displacement sensor and the vibration sensor to be normally open, and controls the image acquisition unit and the auxiliary lighting unit to be normally closed;
when the first processor judges that the displacement data accords with the preset displacement data and the vibration sensor detects that the displacement detection device generates abnormal vibration, the first processor controls the image acquisition unit and the auxiliary lighting unit to be started;
the first processor judges whether the displacement detection device falls off or not according to the real-time image data.
In the above scheme, considering that the displacement detection device is fixedly arranged inside the intelligent device, if the displacement detection device itself is displaced inside the intelligent device and the intelligent device is not displaced (the displacement detection device falls off inside the intelligent device), the displacement sensor still can detect the displacement data, and erroneous judgment may be caused to the operation of the whole system. Therefore, the displacement sensor and the vibration sensor are designed to cooperate for detection, and detail judgment is carried out through the image acquisition unit, so that the phenomenon of misjudgment can be avoided; the auxiliary lighting unit is designed to cooperate with the image acquisition unit to act, so that the image acquisition unit can be ensured to successfully acquire corresponding image data.
Further, the device also comprises an abnormality warning device, and the main control device is connected with the abnormality warning device;
the main control device controls the abnormality warning device to be normally closed;
when the displacement detection device detects that the intelligent equipment for network communication management is displaced, the vibration detection device detects that the intelligent equipment for network communication management is vibrated, the vibration strength reaches the preset vibration strength, the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the module displacement detection device detects that the module part inside the intelligent equipment is displaced, or the heat dissipation displacement detection device detects that the heat dissipation device configured by the intelligent equipment is displaced, the main control device controls the abnormal warning device to carry out corresponding warning.
In the scheme, the corresponding abnormal conditions are warned through the abnormal warning device, so that relevant staff can conveniently and quickly know details and take corresponding measures.
Further, the system also comprises a wireless communication device and a big data center, wherein the main control device is connected with the big data center through the wireless communication device in a network manner, and the main control device sends all detection data to the big data center for data analysis, so that remote transmission, processing and the like of the detection data are realized.
The network communication management method based on big data analysis adopts the network communication management system based on big data analysis to carry out network communication management.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (8)
1. The network communication management system based on big data analysis is characterized by comprising a displacement detection device, a vibration detection device, a module loosening detection device, a heat dissipation loosening detection device, a module displacement detection device, a heat dissipation displacement detection device and a main control device;
the displacement detection device is used for detecting whether the intelligent equipment managed by the network communication is displaced or not;
the vibration detection device is used for detecting whether the intelligent equipment for network communication management vibrates or not and judging whether the vibration intensity reaches the preset vibration intensity or not;
the module loosening detection device is used for detecting whether loosening occurs to a module part in the intelligent equipment or not;
the heat dissipation looseness detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment loosens or not;
the module displacement detection device is used for detecting whether a module part in the intelligent equipment is displaced or not;
the heat dissipation displacement detection device is used for detecting whether the heat dissipation device configured by the intelligent equipment is displaced or not;
the main control device controls the displacement detection device to be normally opened, and controls the vibration detection device, the module loosening detection device, the heat dissipation loosening detection device, the module displacement detection device and the heat dissipation displacement detection device to be normally closed;
when the displacement detection device detects that the intelligent equipment managed by the network communication is displaced, the main control device controls the vibration detection device to be started;
when the vibration detection device detects that the intelligent equipment for network communication management vibrates and the vibration strength reaches the preset vibration strength, the main control device controls the module loosening detection device and the heat dissipation loosening detection device to be started;
if the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the main control device controls the module shifting detection device to be started; if the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the main control device controls the heat dissipation shifting detection device to be started.
2. The network communication management system based on big data analysis according to claim 1, wherein the displacement detection device comprises a first processor, a displacement sensor and a data storage, and the first processor is respectively connected with the displacement sensor, the data storage and the main control device;
the displacement sensor is used for detecting whether the intelligent equipment managed by the network communication is displaced or not and recording current displacement data;
the data memory stores preset displacement data;
and the first processor compares the displacement data with the preset displacement data, and if the displacement data accords with the preset displacement data, the detection result of the displacement detection device is that the intelligent equipment managed by the network communication is displaced.
3. The big data analysis based network communication management system of claim 2, wherein the displacement detection device further comprises a vibration sensor, the vibration sensor being coupled to the first processor;
the vibration sensor is used for detecting whether abnormal vibration occurs to the displacement detection device.
4. The network communication management system based on big data analysis according to claim 3, wherein the displacement detection device further comprises an image acquisition unit and an auxiliary lighting unit, and the first processor is respectively connected with the image acquisition unit and the auxiliary lighting unit;
the image acquisition unit is used for acquiring real-time image data of the displacement detection device;
the auxiliary illumination unit is used for providing auxiliary illumination for the image acquisition unit.
5. The network communication management system based on big data analysis of claim 4, wherein the displacement detection device is fixedly arranged inside the intelligent device;
the first processor controls the displacement sensor and the vibration sensor to be normally open, and controls the image acquisition unit and the auxiliary lighting unit to be normally closed;
when the first processor judges that the displacement data accords with the preset displacement data and the vibration sensor detects that the displacement detection device generates abnormal vibration, the first processor controls the image acquisition unit and the auxiliary lighting unit to be started;
the first processor judges whether the displacement detection device falls off or not according to the real-time image data.
6. The network communication management system based on big data analysis according to claim 1, further comprising an abnormality warning device, wherein the main control device is connected with the abnormality warning device;
the main control device controls the abnormality warning device to be normally closed;
when the displacement detection device detects that the intelligent equipment for network communication management is displaced, the vibration detection device detects that the intelligent equipment for network communication management is vibrated, the vibration strength reaches the preset vibration strength, the module loosening detection device detects that the module part inside the intelligent equipment is loosened, the heat dissipation loosening detection device detects that the heat dissipation device configured by the intelligent equipment is loosened, the module displacement detection device detects that the module part inside the intelligent equipment is displaced, or the heat dissipation displacement detection device detects that the heat dissipation device configured by the intelligent equipment is displaced, the main control device controls the abnormal warning device to carry out corresponding warning.
7. The network communication management system based on big data analysis of claim 1, further comprising a wireless communication device and a big data center, wherein the master control device is connected to the big data center through the wireless communication device.
8. A network communication management method based on big data analysis, characterized in that the network communication management is performed by using the network communication management system based on big data analysis according to any one of claims 1 to 7.
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CN117647285A (en) * | 2024-01-30 | 2024-03-05 | 四川川能智网实业有限公司 | Equipment operation monitoring system and method based on industrial Internet of things |
CN118392254A (en) * | 2024-06-28 | 2024-07-26 | 四川长虹云数信息技术有限公司 | Water and fertilizer equipment operation monitoring system and method based on intelligent data analysis |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101525462B1 (en) * | 2014-12-04 | 2015-06-04 | (주)에이티테크놀러지 | Inspecting system of handler picker for testing semiconductor package |
CN106327349A (en) * | 2016-08-30 | 2017-01-11 | 张琦 | Landscaping fine management device based on cloud computing |
JP6446116B1 (en) * | 2017-11-27 | 2018-12-26 | トーヨーカネツソリューションズ株式会社 | Transport system inspection device |
CN109147978A (en) * | 2018-06-28 | 2019-01-04 | 广东核电合营有限公司 | A kind of circuit loose part monitoring device and its method for nuclear power unit |
CN112254610A (en) * | 2020-11-02 | 2021-01-22 | 神钢压缩机制造(上海)有限公司 | Transportation testing system and method |
KR20210046279A (en) * | 2019-10-18 | 2021-04-28 | 김상갑 | Management system for smart fastener |
CN113819944A (en) * | 2021-09-02 | 2021-12-21 | 国网电子商务有限公司 | Real-time online monitoring system for electric power safety |
CN114563165A (en) * | 2022-04-27 | 2022-05-31 | 成都盛及航空科技发展有限公司 | Landing lamp test device, system, method and storage medium |
KR20220164324A (en) * | 2021-06-04 | 2022-12-13 | 씨스존 주식회사 | Apparatus for collecting location information using low-power based on situation of moving object |
CN218416856U (en) * | 2021-08-11 | 2023-01-31 | 成都鼎毅维元科技有限公司 | A antidetonation type communication rack for mountain area |
CN115937165A (en) * | 2022-12-19 | 2023-04-07 | 中交公路长大桥建设国家工程研究中心有限公司 | Mobile bolt loosening intelligent detection and identification method and system |
CN116009502A (en) * | 2023-03-22 | 2023-04-25 | 深圳华龙讯达信息技术股份有限公司 | Intelligent data acquisition system and method for industrial automation platform |
CN116007686A (en) * | 2023-03-28 | 2023-04-25 | 四川华鲲振宇智能科技有限责任公司 | AI processing chip quality monitoring method, equipment and system |
CN116027870A (en) * | 2023-03-27 | 2023-04-28 | 四川弘智远大科技有限公司 | Heat dissipation device, system and method for data server |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090058593A1 (en) * | 2002-06-11 | 2009-03-05 | Intelligent Technologies International, Inc. | Hazardous Material Transportation Monitoring Techniques |
-
2023
- 2023-06-06 CN CN202310662400.8A patent/CN116399404B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101525462B1 (en) * | 2014-12-04 | 2015-06-04 | (주)에이티테크놀러지 | Inspecting system of handler picker for testing semiconductor package |
CN106327349A (en) * | 2016-08-30 | 2017-01-11 | 张琦 | Landscaping fine management device based on cloud computing |
JP6446116B1 (en) * | 2017-11-27 | 2018-12-26 | トーヨーカネツソリューションズ株式会社 | Transport system inspection device |
CN109147978A (en) * | 2018-06-28 | 2019-01-04 | 广东核电合营有限公司 | A kind of circuit loose part monitoring device and its method for nuclear power unit |
KR20210046279A (en) * | 2019-10-18 | 2021-04-28 | 김상갑 | Management system for smart fastener |
CN112254610A (en) * | 2020-11-02 | 2021-01-22 | 神钢压缩机制造(上海)有限公司 | Transportation testing system and method |
KR20220164324A (en) * | 2021-06-04 | 2022-12-13 | 씨스존 주식회사 | Apparatus for collecting location information using low-power based on situation of moving object |
CN218416856U (en) * | 2021-08-11 | 2023-01-31 | 成都鼎毅维元科技有限公司 | A antidetonation type communication rack for mountain area |
CN113819944A (en) * | 2021-09-02 | 2021-12-21 | 国网电子商务有限公司 | Real-time online monitoring system for electric power safety |
CN114563165A (en) * | 2022-04-27 | 2022-05-31 | 成都盛及航空科技发展有限公司 | Landing lamp test device, system, method and storage medium |
CN115937165A (en) * | 2022-12-19 | 2023-04-07 | 中交公路长大桥建设国家工程研究中心有限公司 | Mobile bolt loosening intelligent detection and identification method and system |
CN116009502A (en) * | 2023-03-22 | 2023-04-25 | 深圳华龙讯达信息技术股份有限公司 | Intelligent data acquisition system and method for industrial automation platform |
CN116027870A (en) * | 2023-03-27 | 2023-04-28 | 四川弘智远大科技有限公司 | Heat dissipation device, system and method for data server |
CN116007686A (en) * | 2023-03-28 | 2023-04-25 | 四川华鲲振宇智能科技有限责任公司 | AI processing chip quality monitoring method, equipment and system |
Non-Patent Citations (1)
Title |
---|
基于大数据技术的电气设备运输状态监测及智能预警系统;郑立中;韩建伟;郑逸非;电子设计工程(第07期);第119-123页 * |
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