Walking type static load detection counter-force platform and cloud data interconnection method

Abstract

The invention discloses a walking type static load detection counter-force platform and a cloud data interconnection method, and the platform comprises a walking type static load detection counter-force platform, a cloud data processor disposed on the walking type static load detection counter-force platform, and an interconnection cloud center. The cloud data interconnection method comprises a step of receiving an authentication request, a step of confirming an index relationship, a step of determining a cloud domain and a step of sending data. Data can be transmitted, stored and processed in real time through the cloud data processor and the interconnection cloud center which are installed on the walking type static load detection counter-force platform.

Description

Technical Field

[0001] The present invention relates to the field of cloud data interconnection, and in particular to a walking static load detection reaction force platform and a cloud data interconnection method. Background Art

[0002] With the development and progress of society and the rapid development of the construction industry, pile driving and force measurement are required during construction and construction areas. The current test reaction platforms are mostly jack and pressure block structures, and the counterweight blocks need to be extracted back and forth by crane. The operation is complicated, time-consuming and labor-intensive, and the work efficiency is low. At the same time, construction cannot be carried out in rainy and snowy weather, which reduces the practicality of the platform. Now the Chinese patent named "A walking static load detection reaction force platform (patent number ZL201820612431.7)" discloses a walking static load detection reaction force platform. This device has high working efficiency, the equipment can work normally regardless of the weather, and it is easy to operate. However, since this type of equipment is still bulky and requires special personnel to operate, data transmission and subsequent processing are very troublesome, and it cannot be remotely operated in real time online. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0004] To this end, the technical solution adopted by the present invention to solve the technical problem is: a walking static load detection reaction force platform and a cloud data interconnection method, including a walking static load detection reaction force platform, a cloud data processor installed on the walking static load detection reaction force platform and an interconnected cloud center, and the cloud data interconnection method includes the following steps:

[0005] a. Receiving authentication request step: When the cloud data processor determines that it does not store data, it sends an authentication request to the interconnected cloud center;

[0006] b. Confirming the index relationship step: The interconnected cloud center uses the attribute information of the stored data and the index relationship of the cloud domain according to the authentication request;

[0007] c. Determine the cloud domain step: The interconnected cloud center determines the cloud domain where the data is stored through the index relationship;

[0008] d. Data sending step: The cloud data processor sends the data to the cloud domain storing the data, so that the data is transmitted between the cloud domain storing the data and the cloud data processor.

[0009] Preferably, the cloud data interconnection method further includes a data processing step, and the data processing step includes a data statistics step and a data detection step.

[0010] Preferably, the data statistics step is to count the data and perform multiple backups after the data sending step.

[0011] Preferably, the data detection step is to perform regular sampling detection and local detection on the cloud data.

[0012] Preferably, in the data detection step, a detection program in the interconnected cloud center is used to scan all the data to ensure the security of the data.

[0013] Preferably, the cloud data interconnection method also includes a data downloading step, which includes using a detection program in the interconnected cloud center to perform a complete scan of the data to ensure the security of the downloaded data before downloading. During the download process, if the network is interrupted, data protection will be enabled to interrupt the download process. After the network is connected, the download will be performed again.

[0014] Preferably, the detection program is a data quality detection tool, a data mining and analysis tool, a data monitoring and alarm tool.

[0015] Preferably, data mining and analysis tools include big data learning using all data from the interconnected cloud center to perform predictive analysis, cluster analysis, and association rule learning.

[0016] As a preferred option, the cloud data processor also includes a fully automatic static load detector, which uses the Internet of Things digital wireless system to achieve automatic networking between the front-end machine and the host, and the signal is stable and reliable. It has fast transmission speed and strong anti-interference ability. The front-end machine has built-in GPS positioning, and the host has built-in 4G module to achieve integrated detection and monitoring, and has a mobile phone remote control function, which enables remote observation of real-time data and control of the test process by mobile phone.

[0017] The beneficial effects of the present invention are as follows: (1) data can be transmitted, stored and processed in real time through the cloud data processor and the interconnected cloud center installed on the walking static load detection reaction force platform;

[0018] (2) The use of data mining and analysis tools in the data processing step includes using all the data in the interconnected cloud center to conduct big data learning, predictive analysis, cluster analysis, and association rule learning, thereby using big data to quickly process data;

[0019] (3) The cloud data processor also includes a fully automatic static load detector, which uses the Internet of Things digital wireless system to achieve automatic networking between the front-end machine and the host machine, and the signal is stable and reliable. The transmission speed is fast and the anti-interference ability is strong. The front-end machine has its own GPS positioning, and the host machine has its own 4G module to achieve integrated detection and monitoring. It has a mobile phone remote control function, which enables remote observation of real-time data and control of the test process by mobile phone, further improving the processing speed and efficiency. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the embodiments, but is not limited to the contents of the description.

[0021] Embodiment 1: A walking static load detection reaction force platform and a cloud data interconnection method, comprising a walking static load detection reaction force platform, a cloud data processor installed on the walking static load detection reaction force platform and an interconnection cloud center, wherein the cloud data interconnection method comprises the following steps:

[0022] a. Receiving authentication request step: When the cloud data processor determines that it does not store data, it sends an authentication request to the interconnected cloud center;

[0023] b. Confirming the index relationship step: The interconnected cloud center uses the attribute information of the stored data and the index relationship of the cloud domain according to the authentication request;

[0024] c. Determine the cloud domain step: The interconnected cloud center determines the cloud domain where the data is stored through the index relationship;

[0025] d. Data sending step: The cloud data processor sends the data to the cloud domain storing the data, so that the data is transmitted between the cloud domain storing the data and the cloud data processor.

[0026] The cloud data interconnection method also includes a data processing step, which includes a data statistics step and a data detection step.

[0027] The data statistics step is to count the data and perform multiple backups after the data sending step.

[0028] The data detection step is to perform regular sampling detection and local detection on the cloud data.

[0029] In the data detection step, the detection program in the interconnected cloud center is used to scan all the data to ensure the security of the data.

[0030] The cloud data interconnection method also includes a data downloading step, which includes using a detection program in an interconnected cloud center to perform a complete scan of the data to ensure the security of the downloaded data before downloading. During the download process, if the network is interrupted, data protection will be enabled to interrupt the download process. After the network is connected, the download will be performed again.

[0031] The detection programs are data quality detection tools, data mining and analysis tools, data monitoring and alarm tools.

[0032] Data mining and analysis tools include big data learning using all data from the interconnected cloud center to conduct predictive analysis, cluster analysis, and association rule learning.

[0033] The cloud data processor also includes a fully automatic static load detector, which uses the Internet of Things digital wireless system to realize the automatic networking of the front-end machine and the host machine, and the signal is stable and reliable. The transmission speed is fast and the anti-interference ability is strong. The front-end machine has its own GPS positioning, and the host machine has its own 4G module to realize the integration of detection and monitoring. It has the function of remote control by mobile phone, which can realize the remote observation of real-time data and control by mobile phone during the test process.

[0034] The above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. Any obvious changes or modifications derived from the technical solution of the present invention are still within the scope of protection of the present invention.

Claims

1. A walking static load detection reaction force platform and a cloud data interconnection method, characterized in that: The invention comprises a walking static load detection reaction force platform, a cloud data processor installed on the walking static load detection reaction force platform and an interconnected cloud center, and the cloud data interconnection method comprises the following steps: a. Receiving authentication request step: when the cloud data processor determines that it does not store data, it sends an authentication request to the interconnected cloud center; b. Confirming the index relationship step: The interconnected cloud center uses the attribute information of the stored data and the index relationship of the cloud domain according to the authentication request; c. Determine the cloud domain step: the interconnected cloud center determines the cloud domain storing the data through the index relationship; d. Data sending step: the cloud data processor sends the data to the cloud domain storing the data, so that the data is transmitted between the cloud domain storing the data and the cloud data processor.

2. The walking static load detection reaction force platform and cloud data interconnection method according to claim 1, characterized in that: The cloud data interconnection method also includes a data processing step, which includes a data statistics step and a data detection step.

3. The walking static load detection reaction force platform and cloud data interconnection method according to claim 2, characterized in that: The data statistics step is to count the data and perform multiple backups after the data sending step.

4. The walking static load detection reaction force platform and cloud data interconnection method according to claim 2, characterized in that: The data detection step is to perform regular sampling detection and local detection on the cloud data.

5. The walking static load detection reaction force platform and cloud data interconnection method according to claim 4, characterized in that: In the data detection step, the detection program in the interconnected cloud center is used to scan all the data to ensure the security of the data.

6. The walking static load detection reaction force platform and cloud data interconnection method according to claim 1, characterized in that: The cloud data interconnection method also includes a data downloading step, which includes using a detection program in the interconnected cloud center to perform a complete scan of the data to ensure the security of the downloaded data before downloading. During the download process, if the network is interrupted, data protection will be enabled to interrupt the download process. After the network is connected, the download will be performed again.

7. A walking static load detection reaction force platform and cloud data interconnection method according to claim 5 or 6, characterized in that: The detection programs are data quality detection tools, data mining and analysis tools, and data monitoring and alarm tools.

8. The walking static load detection reaction force platform and cloud data interconnection method according to claim 7, characterized in that: The data mining and analysis tools include using all the data in the interconnected cloud center to conduct big data learning, predictive analysis, cluster analysis, and association rule learning.

9. The walking static load detection reaction force platform and cloud data interconnection method according to claim 1, characterized in that: The cloud data processor also includes a fully automatic static load detector.