Intelligent factory data acquisition method based on multi-point data synchronous analysis
By distributing multiple sensors and data collectors in the factory, and setting up encryption modules and alarm modules on the data analysis sub and the overall server, the problem of excessive workload and safety hazards on the data analysis end is solved, real-time monitoring and data are realized Secure synchronous analysis.
Patent Information
- Application Number
- CN202411505816.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-28
- Publication Date
- 2024-12-13
AI Technical Summary
The existing factory data acquisition technology leads to excessive workload on the data analysis side, which is prone to crashes, and lacks data encryption processing, posing security risks and data leakage risks.
Multiple sensors and data collectors are used to connect to the data analysis sub-server. Each sub-server is equipped with an encryption module and an alarm module. The data is summarized from the sub-server to the total server for final analysis and encryption processing. An alarm mechanism is set to prevent unauthorized data. access.
It effectively alleviates the workload of the total server, improves data security, prevents data leakage, and ensures the reliability and security of real-time monitoring and analysis.
Smart Images
Figure CN119126645A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data acquisition, and in particular to a smart factory data acquisition method based on multi-point data synchronous analysis. Background Art
[0002] At present, factory data collection generally sets sensors at multiple locations where data needs to be collected, and then aggregates the data collected by multiple sensors to the data analysis end for data analysis, helping enterprises understand the sound field conditions and find problems at any time. This method of transmitting data collected by multiple sensors to the same data analysis end for analysis undoubtedly increases the workload of the data analysis end and is prone to crashes. At the same time, multi-point sensors and data collection are prone to leakage due to the lack of encryption processing, which leads to the leakage of internal enterprise data and creates security risks, which urgently needs to be improved. Summary of the invention
[0003] The purpose of the present invention is to provide a smart factory data acquisition method based on multi-point data synchronous analysis to address the defects and shortcomings of the prior art, which can solve the above-mentioned defects.
[0004] To achieve the above-mentioned purpose, the present invention adopts the following technical scheme: it includes a plurality of sensors and data collectors; the plurality of sensors and data collectors are distributed in the parts of the factory where data collection is required, and each sensor is connected to a corresponding data collector; each data collector is connected to a corresponding data analysis sub-server, each data analysis sub-server is connected to a sub-encryption module and a sub-alarm module, and each sub-alarm module is connected to an alarm; a plurality of data analysis sub-servers are connected to a data analysis main server, a main encryption module and a main alarm module are connected to the data analysis main server, and an alarm is connected to the main alarm module.
[0005] By adopting the above design scheme, several sensors are installed at various locations that need to be monitored inside the factory for real-time monitoring. The sensors transmit the detected data to the data collector in real time. The data collector stores the monitoring data and uploads it to the data analysis sub-server. The data analysis sub-server compares and screens the data and performs preliminary preprocessing and other operations. The staff can view the data collection and analysis of the corresponding monitoring points from the data analysis sub-server; the sub-encryption module encrypts the data in the data analysis sub-server, and when the number of wrong passwords entered into the data analysis sub-server exceeds the preset number, the sub-alarm module triggers the alarm; several data analysis sub-servers transmit the screened and preprocessed data to the data analysis main server, and the staff can view the final data analysis from the data analysis main server; the final analysis and summary are performed in the data analysis main server, and when the number of wrong passwords entered into the data analysis main server exceeds the preset number, the main alarm module triggers the alarm.
[0006] Furthermore, the sensors are divided into fixed sensors and mobile sensors, and both are provided with high temperature resistant and dustproof protective covers.
[0007] Furthermore, the mobile sensor and the data collector equipped therewith are installed on a mobile vehicle and run in a factory workshop.
[0008] Furthermore, the data analysis sub-server is used to separately analyze and process the collected data of the data collector.
[0009] Furthermore, the sub-encryption module is used to encrypt the analyzed data.
[0010] Furthermore, the sub-alarm module is used to monitor and alarm the data analysis sub-server in real time. When the number of incorrect password entry errors reaches the data analysis sub-server, the sub-alarm module triggers an alarm.
[0011] Furthermore, the data analysis main server summarizes and analyzes the data analyzed by several data analysis sub-servers.
[0012] Furthermore, the general encryption module is used to encrypt the processed data of the data analysis main server.
[0013] Furthermore, the total encryption module is used to perform real-time monitoring and alarm on the data analysis server. When the number of incorrect password entry errors on the data analysis server reaches the number, the total encryption module triggers the alarm.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an intelligent factory data acquisition method based on multi-point data synchronous analysis, which utilizes a number of sensors, data collectors and data analysis sub-servers to perform real-time synchronous monitoring and analysis of multiple monitoring points, effectively alleviating the workload of the main server, and is provided with an alarm to perform data security alarms on multiple points and the main server, thereby improving the security of data information. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a framework diagram of the present invention.
[0016] Description of reference numerals: Sensor 1, data collector 2, data analysis sub-server 3, sub-encryption module 4, sub-alarm module 5, data analysis main server 6, main encryption module 7, main alarm module 8. DETAILED DESCRIPTION
[0017] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. The preferred embodiments in the description are only used as examples, and all other embodiments obtained by those skilled in the art without making any creative work are within the scope of protection of the present invention.
[0018] like Figure 1As shown, this specific implementation adopts the following technical scheme: it includes a plurality of sensors and data collectors; a plurality of sensors 1 and data collectors 2 are distributed in the parts of the factory where data collection is required, and each sensor 1 is connected to a corresponding data collector 2, the sensors 1 are divided into fixed sensors and mobile sensors, and are both provided with high temperature resistant dustproof protective covers; the mobile sensors and the data collectors 2 equipped therewith are installed on a mobile vehicle and run in the factory workshop; each data collector 2 is connected to a corresponding data analysis sub-server 3 (connected by a wireless network), the data analysis sub-server 3 is used to analyze and process the collected data of the data collector 2 separately, each data analysis sub-server 3 is connected to a sub-encryption module 4 and a sub-alarm module 5, the sub-encryption module 4 is used to encrypt the analyzed and processed data, each Each sub-alarm module 5 is connected to an alarm, and the sub-alarm module 5 is used to perform real-time monitoring and alarm on the data analysis sub-server 3. When the data analysis sub-server 3 reaches the number of incorrect password entry times, the sub-alarm module 5 triggers the alarm to alarm; several data analysis sub-servers 3 are connected to the data analysis main server 6 (connected using a wireless network), and the data analysis main server 6 summarizes and analyzes the data analyzed by several data analysis sub-servers 3. The data analysis main server 6 is connected to a total encryption module 7 and a total alarm module 8. The total encryption module 7 is used to encrypt the processed data of the data analysis main server 6. The main alarm module 8 is connected to an alarm, and the total encryption module 7 is used to perform real-time monitoring and alarm on the data analysis main server 6. When the data analysis main server 6 reaches the number of incorrect password entry times, the total encryption module 7 triggers the alarm to alarm.
[0019] When using the present invention, several fixed sensors 1 and data collectors 2 are installed at the positions to be monitored in the factory, and several mobile sensors 1 and data collectors 2 are installed on a mobile car (robot car). The walking route is preset according to the environment to be monitored, and real-time monitoring is performed. The sensor 1 transmits the detected data to the data collector 2 in real time, and the data collector 2 stores and uploads the monitoring data to the data analysis sub-server 3. The data analysis sub-server 3 performs operations such as comparison, screening, preliminary pre-processing, etc. on the data, and the staff can view the data collection and analysis of the corresponding monitoring point from the data analysis sub-server 3; the sub-encryption module 4 encrypts the data in the data analysis sub-server 3, and when the number of wrong passwords entered by the data analysis sub-server 3 exceeds the preset number, the sub-alarm module 5 triggers the alarm to alarm; several data analysis sub-servers 3 transmit the screened and pre-processed data to the data analysis main server 6, and the staff can view the final data analysis from the data analysis main server 6; the final analysis and summary are performed in the data analysis main server 6, and when the number of wrong passwords entered by the data analysis main server 6 exceeds the preset number, the main alarm module 8 triggers the alarm to alarm.
[0020] Compared with the prior art, the present invention has the following beneficial effects: Using several sensors, data collectors and data analysis sub-servers, multiple monitoring points can be monitored and analyzed synchronously in real time, effectively alleviating the workload of the main server; An alarm is set up to issue data security alarms to multiple points and the main server to improve the security of data information.
[0021] For those skilled in the art, they can modify the technical solutions described in the aforementioned embodiments and make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A smart factory data acquisition method based on multi-point data synchronous analysis, Features: It comprises a plurality of sensors and data collectors; the plurality of sensors (1) and data collectors (2) are distributed in the parts of the factory where data collection is required, and each sensor (1) is connected to a corresponding data collector (2); each data collector (2) is connected to a corresponding data analysis sub-server (3), each data analysis sub-server (3) is connected to a sub-encryption module (4) and a sub-alarm module (5), and each sub-alarm module (5) is connected to an alarm; the plurality of data analysis sub-servers (3) are connected to a data analysis main server (6), the data analysis main server (6) is connected to a main encryption module (7) and a main alarm module (8), and the main alarm module (8) is connected to an alarm; A plurality of sensors (1) are installed at various locations within the factory that need to be monitored for real-time monitoring. The sensors (1) transmit the detected data to a data collector (2) in real time. The data collector (2) stores the monitoring data and uploads it to a data analysis sub-server (3). The data analysis sub-server (3) performs operations such as comparison, screening, and preliminary pre-processing on the data. A staff member can view the data collection and analysis status of the corresponding monitoring point from the data analysis sub-server (3). The sub-encryption module (4) encrypts the data in the data analysis sub-server (3). When the number of wrong passwords entered by the data analysis sub-server (3) exceeds a preset number, the sub-alarm module (5) triggers an alarm. The plurality of data analysis sub-servers (3) transmit the screened and pre-processed data to a data analysis main server (6). The staff member can view the final data analysis status from the data analysis main server (6). The final analysis and summary are performed in the data analysis main server (6). When the number of wrong passwords entered by the data analysis main server (6) exceeds a preset number, the main alarm module (8) triggers an alarm.
2. According to claim 1, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The sensor (1) is divided into a fixed sensor and a mobile sensor, and both are provided with a high temperature resistant dustproof protective cover.
3. According to claim 2, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The mobile sensor and the data collector (2) equipped therewith are both installed on a mobile vehicle and run in a factory workshop.
4. According to claim 3, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The data analysis sub-server (3) is used to independently analyze and process the collected data of the data collector (2).
5. According to claim 4, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The sub-encryption module (4) is used to encrypt the analyzed data.
6. According to claim 5, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The sub-alarm module (5) is used to perform real-time monitoring and alarming on the data analysis sub-server (3); when the number of incorrect password entry errors on the data analysis sub-server (3) reaches the number, the sub-alarm module (5) triggers an alarm to sound an alarm.
7. According to claim 6, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The data analysis main server (6) aggregates and analyzes the data analyzed by the plurality of data analysis sub-servers (3).
8. According to claim 7, a smart factory data acquisition method based on multi-point data synchronous analysis, Features: The total encryption module (7) is used to encrypt the processed data of the data analysis main server (6).
9. The intelligent factory data collection method based on multi-point data synchronous analysis according to claim 8, Features: The total encryption module (7) is used to perform real-time monitoring and alarming on the data analysis server (6); when the number of incorrect password inputs on the data analysis server (6) reaches a certain number, the total encryption module (7) triggers an alarm.