CN115345513A - Smart city system terminal equipment big data information acquisition system - Google Patents
Smart city system terminal equipment big data information acquisition system Download PDFInfo
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Abstract
The invention discloses a big data information acquisition system for terminal equipment of a smart city system, and belongs to the technical field of power distribution. After entering the management of the user-intelligent diagnosis of the switch, the station-line fault: displaying the line fault information, and searching the line fault information according to conditions; user management: editing, inquiring and deleting personnel list information, and modifying account passwords; entering an important user: displaying important users, providing import important user information, and searching the important user information according to conditions; system setup-role management: adding, deleting and editing role information in role management, and searching role names and role codes according to conditions; in step S6, system setup-dictionary management: adding, deleting, inquiring and editing a dictionary; system setup-security management: password change period, password login limit and idle time setting can be set; system setup-menu management: the menu can be newly added, deleted and modified, and the menu information can be searched according to the conditions.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a big data information acquisition system of smart city system terminal equipment.
Background
The smart city originates from the media field, and means that in the fields of city planning, design, construction, management and operation and the like, through the application of intelligent computing technologies such as internet of things, cloud computing, big data, spatial geographic information integration and the like, key infrastructure components and services formed by cities such as city management, education, medical treatment, real estate, transportation, public utilities, public safety and the like are more interconnected, efficient and intelligent, so that better life and work services are provided for citizens, a more favorable commercial development environment is created for enterprises, and a more efficient operation and management mechanism is energized for governments. In the system data acquisition process of the smart city, the information acquisition system is an indispensable system.
Patent No. CN201810350627.8 discloses an agricultural big data information collecting and processing system, comprising: an agricultural big data information acquisition and processing system is characterized by comprising a big data information acquisition and processing platform, a sensing device, a safety monitoring device, a remote control device, an information real-time display platform, an information analysis application platform and a user terminal; the information acquisition and processing platform is used for receiving the agricultural data information acquired by the sensor and sending the agricultural data information to the halo calculation server for processing and feedback; meanwhile, various data are sent to a display platform and an analysis application platform, and remote control is carried out on the agricultural facilities according to the data.
The method solves the problems that huge data calculation cannot be finished, farmland information acquisition systems are independent of one another and operate in a closed mode, information is difficult to integrate, analyze and share, and data fusion and analysis can be effectively carried out; but the collected data information cannot be classified, processed and displayed.
Disclosure of Invention
1. Technical problem to be solved
The invention aims to provide a smart city system terminal equipment big data information acquisition system which cannot search fault information and solve the problem of fault troubleshooting so as to solve the problems in the background technology.
2. Technical scheme
A big data information acquisition system of smart city system terminal equipment comprises the following steps:
s1: logging in a system program, monitoring and counting through a workbench, inputting an account and a password of an operation user, and clicking a login program;
s2: the data acquisition area, the standard data display area, the fault data display area and the appeal display area are accessed through the workbench to operate;
s3: inputting data in the data acquisition area into a work order of a workbench for operation;
s4: and (4) inquiring the acquired data through the classified diagnosis area, checking a data error display list in step S4, providing a exporting function, exporting the data to paper in an imaging way, searching fault information according to conditions, and counting faults, recovery and total number of the data, wherein the faults, recovery and total number of the data can be searched according to data conditions.
Preferably, after entering the diagnosis of the classification diagnosis area in step S4, the user clicks to enter the initial data duplication checking: in the stage of displaying the history of the initial data, the historical data can be searched according to conditions;
click-through plan data: displaying the plan data information, and searching the historical data information according to conditions;
click-in data conversion flow: displaying the sequence, change and final form of data conversion in the whole process, and screening according to the process state of the condition data;
click-through intelligent diagnosis-data expansion: displaying the state of the data, and searching the data information state of each time period according to conditions;
click-through statistics: and counting data information, data quantity and data matched with the data information and the data quantity of each stage.
Preferably, after entering the management-intelligent diagnosis of the user in step S4, the data-data arrangement is collected to present: and displaying basic information of the line, and searching line fault information according to conditions.
S5: and after the system is set and user management is clicked, managing the users, wherein in the step S5, user management comprises the following steps: editing, inquiring and deleting list information of the operating personnel, modifying, resetting and cancelling account passwords of users, and entering important users: showing important users, providing import important user information, searching the important user information according to conditions, and in the step S5, system setting-role management: the role information is added, deleted and edited in the role management, and the role name and the role code can be searched according to conditions.
S6: and (6) after role management is entered through system setting, modifying and comparing all data, and in the step S6, the system setting-dictionary management: adding, deleting, inquiring and editing a dictionary, and setting a system-safety management: password change period, password login limit, idle time setting, system setup-menu management: the menu can be added, deleted and modified, and the menu information can be searched according to the conditions;
s7: clicking data in system setting to acquire various data information of the user, and in step S7, system setting-data acquisition: the data acquisition function can be started, and the validation time, the data acquisition period, the system name, the system address, the login account and the login password are set.
Preferably, in step S2:
a data acquisition area: collecting big data information distributed in a city, and simultaneously converting the big data information into information data;
and a standard data display area: displaying the information which does not exceed the threshold, and displaying the displayed data in front of the staff through display equipment;
and a fault data display area: displaying the information exceeding the threshold, and collecting and processing the displayed data in a processing terminal;
appeal display area: displaying fault information data and non-fault information data so as to search a processing scheme capable of solving;
preferably, in step S4, the data error display list is checked, a exporting function is provided, the data is exported to the paper in an imaging manner, fault information is searched according to conditions, and faults, recovery and total number of statistical data can be searched according to data conditions.
Preferably, after entering the diagnosis of the classification diagnosis area in step S4, the user clicks to enter the initial data duplication checking: in the history stage of displaying the initial data, historical data can be searched according to conditions;
click-through plan data: displaying the plan data information, and searching the historical data information according to conditions;
click-in data conversion flow: displaying the sequence, change and final form of data conversion in the whole process, and screening according to the process state of condition data;
click-through intelligent diagnosis-data expansion: displaying the state of the data, and searching the data information state of each time period according to conditions;
click-through statistics: and counting data information, data quantity and data matched with the data information and the data quantity of each stage.
Preferably, after the management-intelligence diagnosis of the user is performed in step S4, the data is collected and displayed in a data arrangement manner: and displaying basic information of the line, and searching line fault information according to conditions.
Preferably, in step S5, the user manages: editing, inquiring and deleting the list information of the operating personnel, and modifying, resetting and cancelling the account password of the user;
entering an important user: and displaying the important users, providing the imported important user information, and searching the important user information according to conditions.
Preferably, in step S5, the system sets-role management: the role information is added, deleted and edited in the role management, and the role name and the role code can be searched according to conditions.
Preferably, in step S6, the system setting-dictionary management: adding, deleting, inquiring and editing a dictionary;
system setup-security management: password change period, password login limit and idle time setting can be set;
system setup-menu management: the menu can be added, deleted and modified, and the menu information can be searched according to the conditions;
preferably, in step S7, the system sets-data acquisition: the data acquisition function can be started, and the effective time, the data acquisition period, the system name, the system address, the login account and the login password are set.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
1. and logging in a system program, performing monitoring statistics through the workbench, inputting an account number and a password of an operation user, clicking the logging program, entering a data acquisition area, a standard data display area, a fault data display area and a appeal display area through the workbench to perform operation, and inputting data in the data acquisition area into a work order of the workbench to perform operation.
2. The acquired data is inquired and processed through the classification diagnosis area, user management is carried out after user management is clicked in system setting, all data are modified and compared after role management is carried out through the system setting, and all data information of the user is obtained by clicking data in the system setting.
Drawings
Fig. 1 is a schematic flow chart of a big data information acquisition system of smart city system end equipment according to the present invention.
Detailed Description
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "provided", "fitted/connected", "connected", and the like, are to be interpreted broadly, such as "connected", which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, the present invention provides a technical solution:
a big data information acquisition system of smart city system end equipment comprises the following steps:
s1: logging in a system program, monitoring and counting through a workbench, inputting an account and a password of an operation user, and clicking the logging-in program;
s2: entering a data acquisition area, a standard data display area, a fault data display area and an appeal display area through a workbench for operation;
s3: inputting data in the data acquisition area into a work order of a workbench for operation, and in the step S3: customer service work order: checking a customer service work order list, providing a exporting function, searching work order information according to conditions, and searching for statistics of accepted, processed and archived data of each power supply station according to conditions;
s4: and (4) inquiring the acquired data through the classified diagnosis area, checking a data error display list in step S4, providing a exporting function, exporting the data to paper in an imaging way, searching fault information according to conditions, and counting faults, recovery and total number of the data, wherein the faults, recovery and total number of the data can be searched according to data conditions.
After entering the classification diagnosis area in the step S4, clicking to enter the initial data duplication checking: in the stage of displaying the history of the initial data, the historical data can be searched according to conditions;
click-through plan data: displaying plan data information, and searching historical data information according to conditions;
click-in data conversion flow: displaying the sequence, change and final form of data conversion in the whole process, and screening according to the process state of condition data;
click-through intelligent diagnosis-data expansion: displaying the state of the data, and searching the data information state of each time period according to conditions;
click-through statistics: and counting data information, data quantity and data matched with the data information and the data quantity of each stage.
After the management-intelligent diagnosis of the user is entered in the step S4, data is collected, and data arrangement is presented: and displaying the basic information of the line, and searching the fault information of the line according to conditions.
S5: and after the system is set and user management is clicked, managing the users, wherein in the step S5, user management comprises the following steps: editing, inquiring and deleting list information of the operating personnel, modifying, resetting and cancelling account passwords of users, and entering important users: showing important users, providing import important user information, searching the important user information according to conditions, and in the step S5, system setting-role management: the role information is added, deleted and edited in the role management, and the role name and the role code can be searched according to conditions.
S6: and (6) after role management is entered through system setting, modifying and comparing all data, and in the step S6, the system setting-dictionary management: adding, deleting, inquiring and editing a dictionary, and setting a system-safety management: password change period, password login limit, idle time setting, system setting-menu management: the menu can be added, deleted and modified, and the menu information can be searched according to the conditions;
s7: clicking data acquisition in system setting to acquire various data information of the user, and in step S7, the system setting-data acquisition: the data acquisition function can be started, and the validation time, the data acquisition period, the system name, the system address, the login account and the login password are set.
Example 1
A data acquisition area: collecting big data information distributed in a city, and converting the big data information into information data; and a standard data display area: displaying the information which does not exceed the threshold, and displaying the displayed data in front of the staff through display equipment; a fault data display area: displaying the information exceeding the threshold, and collecting and processing the displayed data in a processing terminal; appeal show area: displaying fault information data and non-fault information data so as to search a processing scheme capable of solving;
in step S4, a data error display list is checked, a exporting function is provided, data is exported to paper in an imaging mode, fault information is searched according to conditions, and faults, recovery and total number of data can be counted and searched according to data conditions.
After entering the classification diagnosis area in the step S4, clicking to enter the initial data duplication checking: in the stage of displaying the history of the initial data, the historical data can be searched according to conditions;
click-through plan data: displaying the plan data information, and searching the historical data information according to conditions;
click-in data conversion flow: displaying the sequence, change and final form of data conversion in the whole process, and screening according to the process state of the condition data;
click-through intelligent diagnosis-data expansion: displaying the state of the data, and searching the data information state of each time period according to conditions;
click-through statistics: and counting data information, data quantity and data matched with the data information and the data quantity of each stage.
After the management-intelligent diagnosis of the user is entered in the step S4, data is collected, and data is arranged and presented: and displaying basic information of the line, and searching line fault information according to conditions.
Example 2
In step S5, user management: editing, inquiring and deleting the list information of the operating personnel, and modifying, resetting and cancelling the account password of the user; entering an important user: and displaying the important users, providing the imported important user information, and searching the important user information according to conditions. In step S5, system setup-role management: the role information is added, deleted and edited in the role management, and the role name and the role code can be searched according to conditions.
Example 3
In step S6, system setup-dictionary management: adding, deleting, inquiring and editing a dictionary;
system setup-security management: password change period, password login limit and idle time setting can be set; system setup-menu management: the menu can be newly added, deleted and modified, the menu information is searched according to the conditions, and in the step S7, the system is set-data acquisition: the data acquisition function can be started, and the validation time, the data acquisition period, the system name, the system address, the login account and the login password are set.
In summary, the following steps: and logging in a system program, performing monitoring statistics through the workbench, inputting an account number and a password of an operation user, clicking the logging program, entering a data acquisition area, a standard data display area, a fault data display area and a appeal display area through the workbench to perform operation, and inputting data in the data acquisition area into a work order of the workbench to perform operation. The acquired data is inquired and processed through the classified diagnosis area, user management is performed after user management is clicked in system setting, all data are modified and compared after role management is performed through the system setting, and all data information of the user is acquired by clicking data in the system setting.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides a big data information acquisition system of wisdom urban system end equipment which characterized in that: the method comprises the following steps:
s1: logging in a system program, monitoring and counting through a workbench, inputting an account and a password of an operation user, and clicking the logging-in program;
s2: entering a data acquisition area, a standard data display area, a fault data display area and an appeal display area through a workbench for operation;
s3: inputting data in the data acquisition area into a work order of a workbench for operation;
s4: inquiring the acquired data through the classified diagnosis area;
s5: after the system is set and user management is clicked, user management is carried out;
s6: modifying and comparing various data after entering role management through system setting;
s7: and clicking data in system setting to acquire various data information of the user.
2. The smart city system end-device big data information acquisition system as claimed in claim 1, wherein in step S2:
a data acquisition area: collecting big data information distributed in a city, and simultaneously converting the big data information into information data;
and a standard data display area: displaying the information which does not exceed the threshold, and displaying the displayed data in front of the staff through display equipment;
and a fault data display area: displaying the information exceeding the threshold, and collecting and processing the displayed data in a processing terminal;
appeal display area: and displaying the fault type and non-fault type information data so as to search the processing scheme capable of being solved.
3. The smart city system end-point device big data information collecting system as claimed in claim 1, wherein in step S3: and checking the customer service work order list, providing a exporting function, searching the work order information according to conditions, and searching the statistics of the accepted, processed and filed data of each power supply station according to the conditions.
4. The smart city system end-point device big data information collection system of claim 1, characterized in that: in the step S4, a data error display list is checked, a exporting function is provided, data is exported to paper in an imaging mode, fault information is searched according to conditions, and faults, recovery and total number of data can be counted and searched according to data conditions.
5. The smart city system end-point device big data information collection system of claim 1, characterized in that: after entering the classification diagnosis area in the step S4, clicking to enter initial data duplication checking: in the stage of displaying the history of the initial data, the historical data can be searched according to conditions;
click-through plan data: displaying plan data information, and searching historical data information according to conditions;
click-in data conversion flow: and displaying the sequence, change and final form of data conversion in the whole process, and screening according to the process state of the condition data.
Click-through smart diagnosis-data expansion: displaying the state of the data, and searching the data information state of each time period according to conditions;
click-through statistics: and (4) counting data information, data quantity and data matched with the data information and the data quantity of each stage.
6. The smart city system end-device big data information collection system of claim 1, wherein: after the management-intelligent diagnosis of the user is entered in the step S4, data is collected, and data is arranged and presented: and displaying basic information of the line, and searching line fault information according to conditions.
7. The smart city system end-point device big data information collection system of claim 1, characterized in that: in step S5, user management: editing, inquiring and deleting the list information of the operating personnel, and modifying, resetting and logging out the account password of the user;
entering an important user: and displaying the important users, providing the imported important user information, and searching the important user information according to conditions.
8. The smart city system end-device big data information collection system of claim 1, wherein: in step S5, system setting-role management: the role information is added, deleted and edited in the role management, and the role name and the role code can be searched according to conditions.
9. The smart city system end-device big data information collection system of claim 1, wherein: in step S6, system setting-dictionary management: adding, deleting, inquiring and editing a dictionary;
system setup-security management: password change period, password login limit and idle time setting can be set;
system setup-menu management: the menu can be newly added, deleted and modified, and the menu information can be searched according to the conditions.
10. The smart city system end-device big data information collection system of claim 1, wherein: in step S7, system setup-data acquisition: the data acquisition function can be started, and the validation time, the data acquisition period, the system name, the system address, the login account and the login password are set.
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| CN115473769A (en) * | 2022-07-28 | 2022-12-13 | 厦门市政智慧城市科技有限公司 | Intelligent gateway system for monitoring urban facilities |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115473769A (en) * | 2022-07-28 | 2022-12-13 | 厦门市政智慧城市科技有限公司 | Intelligent gateway system for monitoring urban facilities |
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