A data acquisition terminal management system and management method
The data acquisition terminal management system classifies the terminal data, which solves the problem of low efficiency caused by direct cloud storage of terminal data in the prior art, and realizes the timeliness and efficiency of data processing.
Patent Information
- Application Number
- CN202110173741.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-02-06
- Publication Date
- 2025-07-01
- Estimated Expiration
- 2041-02-06
AI Technical Summary
In the prior art, the terminal collects data directly and stores it directly in the cloud and querys service data, which affects the efficiency of service data processing.
The data acquisition terminal management system is adopted, including the data acquisition module, query module, classification processing module, service management module and storage management module. Through data type classification processing, non-service data is directly stored in the cloud, and the service data is sent to the designated service port and confirmed that the reception is completed before uploading to the cloud.
It improves the timeliness and efficiency of data processing, ensures that service data is promptly feedback, and reduces the waste of time to manually load service data.
Smart Images

Figure CN114911665B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and particularly to a data acquisition terminal management system and a management method thereof. Background Art
[0002] A data terminal, that is, a computer display terminal, is an input and output device of a computer system. The computer display terminal emerged along with the centralized processing mode of the mainframe era and has continuously developed with the development of computing technology. So far, computing technology has gone through three development periods: the mainframe era, the PC era, and the network computing era. The terminal has adapted to the three stages of the development of computing technology, and its applications have also gone through three forms: character dumb terminals, graphic terminals, and network terminals.
[0003] When the existing terminal collects and stores data, it often directly stores all data in the cloud and then views various types of data. When the queried data is service data, it is sent to the specified service port. This method requires simultaneous retrieval of a large amount of data stored in the cloud, resulting in slow efficiency and affecting the processing efficiency of service data.
[0004] Based on this, the present invention designs a data acquisition terminal management system and a management method to solve the above problems. Summary of the Invention
[0005] In order to solve the technical problems mentioned in the current background art, the purpose of the present invention is to provide a data acquisition terminal management system and a management method thereof.
[0006] In order to achieve the above purpose, the present invention adopts the following technical solutions:
[0007] A data acquisition terminal management system includes a data acquisition module, a data query module, a classification processing module, a service management module, and a storage management module;
[0008] The data acquisition module is used to uniformly collect all data information of the terminal;
[0009] The data query module is used to query and extract the data type of the collected data information;
[0010] The classification processing module is used to classify and package the collected data according to the data type and monitor the completion signal of querying service data;
[0011] The service management module is used to receive service data reminders and send them to the service port, and collect the completion signal received by the server;
[0012] The storage management module is used to receive the packaged data from the classification processing module and store it in the cloud.
[0013] Preferably, the data query module includes a data extraction module, a data comparison module, a comparison data storage module, and a data type extraction module;
[0014] The data extraction module is used to extract various types of data information collected;
[0015] The comparison data storage module is used to store the comparison big data information of each data type;
[0016] The data comparison module is used to compare the similarity between the collected data information and the comparison data;
[0017] The data type extraction module is used to extract the data type information of the comparison data that reaches the specified similarity.
[0018] Preferably, the classification processing module includes a classification data packaging module and a data volume monitoring module;
[0019] The classification data packaging module is used to classify and package each data according to the data type;
[0020] The data volume monitoring module is used to monitor the completion signal of the classified and packaged data sent to the service port.
[0021] Preferably, the storage management module includes a data transmission control module and a cloud storage module;
[0022] The data transmission control module is used to receive the monitoring completion signal of the classification processing module and control the packaged data to be stored in the cloud storage module;
[0023] The cloud storage module is used to store the classified and packaged data in the cloud.
[0024] Preferably, the service management module includes a service port query module, a sending reminder module, and a completion signal acquisition module;
[0025] The service port query module is used to query the service port information corresponding to various service data;
[0026] The sending reminder module is used to send the service data of the corresponding service type to the specified service port and give a reminder after sending;
[0027] The completion signal acquisition module is used to acquire the completion signal of the service port receiving the service data.
[0028] A method for managing a data acquisition terminal includes the following steps:
[0029] S1. Uniformly collect the data information of the acquisition terminal and obtain the data type information of each data;
[0030] S2. Pack the data according to the data type and monitor whether the data is service data;
[0031] S3. When service data is detected, send the data to the server, and control it to be sent to the cloud after confirming the completion of reception; when non-service data is detected, directly upload it to the cloud.
[0032] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: by classifying the data collected by the terminal according to the data type, directly packing and uploading it to the cloud when the data is found to be non-service data, and when the data is service data, dispatching it to the specified service port according to the service type and uploading it to the cloud after the server receives it, the timeliness and efficiency of data processing can be improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:
[0034] Figure 1 It is the overall system architecture diagram of the present invention;
[0035] Figure 2 It is the system sub-diagram of the service management module of the present invention;
[0036] Figure 3 It is the flowchart of the management method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0037] The following specific embodiments illustrate the implementation manners of the present invention, and those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification.
[0038] Please refer to Figures 1 to 2 . The present invention provides a technical solution: a data acquisition terminal management system, including a data acquisition module, a data query module, a classification processing module, a service management module, and a storage management module;
[0039] The data acquisition module is used to uniformly acquire all data information by the terminal;
[0040] The data query module is used to query and extract the data type of the acquired data information;
[0041] The classification processing module is used to classify and pack the acquired data according to the data type, and monitor the completion signal of querying service data;
[0042] The service management module is used to receive the service data reminder and send it to the service port, and collect the completion signal of the server receiving;
[0043] The storage management module is used to receive the packaged data from the classification processing module and perform cloud storage.
[0044] It should be noted that in the process of using the data acquisition terminal management system of the present invention to collect and manage terminal data, all terminal data information is obtained through the data acquisition module, and the data type of the collected data is queried through the data query module, and the data is classified and packaged into a specified data type through the classification processing module, and then it is detected whether the data is service data. When it is detected that it is non-service data, the packaged data is directly sent to the storage management module for storage. When it is detected that it is service data, the data is first sent to the service port, and when a reception signal is collected, the data is directly sent to cloud storage; such terminal data management can well achieve the classification processing of different types of data and the convenient management of service data.
[0045] A further implementation manner is that the data query module includes a data extraction module, a data comparison module, a comparison data storage module, and a data type extraction module;
[0046] The data extraction module is used to extract various data information collected.
[0047] The comparison data storage module is used to store the comparison big data information of each data type.
[0048] The data comparison module is used to compare the similarity between the collected data information and the comparison data.
[0049] The data type extraction module is used to extract the data type information of the comparison data that reaches the specified similarity; when querying data, the collected data is extracted and compared with the comparison big data of each data type to find the data type information of the data, so as to facilitate the classification management of the data.
[0050] A further implementation manner is that the classification processing module includes a classification data packaging module and a data volume monitoring module;
[0051] The classification data packaging module is used to classify and package each data according to the data type.
[0052] The data volume monitoring module is used to monitor the completion signal of the classified and packaged data sent to the service port; during the process of classifying the data, the data is packaged according to different data types, and then it is detected whether the data is service data. The non-service data is directly stored in the storage management module, and the service data is sent to the service port. When the reception feedback signal is received, the service data is then sent to the storage management module for storage. This way can well ensure the data management work before data storage.
[0053] A further implementation manner is that the storage management module includes a data transmission control module and a cloud storage module;
[0054] The data transmission control module is used to receive the monitoring completion signal of the classification processing module and control the packaged data to be stored in the cloud storage module;
[0055] The cloud storage module is used to store the classified and packaged data in the cloud; during the process of storing the packaged data in the cloud, by receiving the detection completion signal, it controls various types of packaged data to be classified and stored in the cloud.
[0056] A further implementation manner is that the service management module includes a service port query module, a sending reminder module, and a completion signal acquisition module;
[0057] The service port query module is used to query the service port information corresponding to various types of service data;
[0058] The sending reminder module is used to send the service data of the corresponding service type to the specified service port and give a reminder after sending;
[0059] The completion signal acquisition module is used to collect the completion signal of the service port receiving the service data; during the process of managing the service data, according to the service data type, various types of service data are sent to the specified service port and a reminder for reception is given, and after receiving the feedback signal, it is then uploaded to the cloud to ensure that the service data can be processed in time before uploading.
[0060] Please refer to Figure 3 . A method for managing a data acquisition terminal includes the following steps:
[0061] S1. Uniformly collect the data information of the acquisition terminal and obtain the data type information of each data;
[0062] S2. Package the data according to the data type and monitor whether the data is service data;
[0063] S3. When service data is detected, send the data to the server, and after confirming the completion of reception, control it to be sent to the cloud; when non-service data is detected, directly upload it to the cloud for processing.
[0064] In the process of managing the data collected by the terminal using the data collection terminal management method of the present invention, by classifying the collected data according to the data type, then querying whether the data is service data, then sending it to the specified service processing port according to the type of service data, and then uploading the service data to the cloud, it can ensure that all service data can be uploaded after being timely feedback, reducing the time wasted by manually loading service data to the cloud and improving the timeliness of service data processing.
[0065] It should be noted that the structures, ratios, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the conditions under which the present invention can be implemented. Therefore, they do not have technical substance. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope that can be covered by the technical content disclosed in the present invention. At the same time, the terms such as "upper", "lower", "left", "right", "middle", and "one" cited in this specification are only for the convenience of clear description and are not used to limit the scope of implementation of the present invention. The change or adjustment of their relative relationships, without substantial change in the technical content, should also be regarded as the scope of implementation of the present invention.
[0066] The above embodiments are only illustrative of the principles and effects of the present invention and are not used to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present invention should still be covered by the claims of the present invention.
Claims
1. A data acquisition terminal management system, characterized in that, It includes a data acquisition module, a data query module, a classification processing module, a service management module, and a storage management module; The data acquisition module is used to uniformly acquire all data information by the terminal; The data query module is used to query and extract the data types of the acquired data information; The classification processing module is used to classify and package the acquired data according to the data type and detect service data; among them, it detects whether the data is service data. When service data is detected, the data is sent to the server, and after confirming the completion of reception, it is controlled to be sent to the cloud; when non-service data is monitored, it is directly uploaded to the cloud for processing; when the data is service data, it is dispatched to the specified service port according to the service type, and after the server receives it, it is uploaded to the cloud; The service management module is used to receive service data and send it to the service port, and collect the completion signal of the service port for receiving the service data; The storage management module is used to receive the packaged data from the classification processing module for cloud storage.
2. The data acquisition terminal management system according to claim 1, wherein The data query module includes a data extraction module, a data comparison module, a comparison data storage module, and a data type extraction module; The data extraction module is used to extract various types of acquired data information; The comparison data storage module is used to store the comparison data information of each data type; The data comparison module is used to compare the similarity between the acquired data information and the comparison data; The data type extraction module is used to extract the data type information of the comparison data that reaches the specified similarity.
3. The data acquisition terminal management system according to claim 1, characterized in that, The classification processing module includes a classification data packaging module and a data volume monitoring module; The classification data packaging module is used to classify and package each data according to the data type; The data volume monitoring module is used to monitor the completion signal of the classified and packaged data sent to the service port.
4. A data acquisition terminal management system according to claim 1, characterized in that, The storage management module includes a data transmission control module and a cloud storage module; The data transmission control module is used to receive the monitoring completion signal from the classification processing module and control the packaged data to be stored in the cloud storage module; The cloud storage module is used to store the classified and packaged data in the cloud.
5. A data acquisition terminal management system according to claim 1, characterized in that, The service management module includes a service port query module, a dispatch reminder module, and a completion signal collection module; The service port query module is used to query the service port information corresponding to various service data; The dispatch reminder module is used to send the service data of the corresponding service type to the specified service port and give a reminder after dispatch; The completion signal collection module is used to collect the completion signal of the service port for receiving the service data.
6. A data acquisition terminal management method, characterized in that, For the data acquisition terminal management system according to any one of claims 1-5, it includes the following steps: S1. Uniformly acquire the terminal data information and obtain the data type information of each data; S2. Package the data according to the data type and detect whether the data is service data; S3. When service data is detected, send the data to the server, and after confirming the completion of reception, control it to be sent to the cloud; when non-service data is detected, directly upload it to the cloud for processing.
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