CN114358439A - Wisdom supervisory systems - Google Patents
Wisdom supervisory systems Download PDFInfo
- Publication number
- CN114358439A CN114358439A CN202210047193.0A CN202210047193A CN114358439A CN 114358439 A CN114358439 A CN 114358439A CN 202210047193 A CN202210047193 A CN 202210047193A CN 114358439 A CN114358439 A CN 114358439A
- Authority
- CN
- China
- Prior art keywords
- early warning
- supervision
- submodule
- module
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/44—Program or device authentication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Computer Security & Cryptography (AREA)
- Tourism & Hospitality (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Software Systems (AREA)
- Computer Hardware Design (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent monitoring system, which comprises: the home page view module is used for displaying corresponding home page information for a user; the data management module is used for setting an early warning rule and/or a white list of each index; the early warning and monitoring module is used for monitoring a target scene and acquiring corresponding index data according to a data acquisition rule; the supervision flow module is used for generating early warning information by utilizing a preset early warning rule and a white list according to the collected index data and processing the early warning information according to a preset flow; the monitoring key case module is used for inquiring and exporting the early warning information of the target scene for management; and the system management module is used for setting the authority. The invention generates corresponding early warning information by data modeling and threshold setting, and realizes intelligent supervision of production management and operation activities.
Description
Technical Field
The invention relates to the technical field of data supervision, in particular to an intelligent supervision system.
Background
With the widespread application of the informatization technology, many companies are configured with relevant management software systems, such as an ERP system, a financial management and control system, a vehicle management system, and the like, which generate a large amount of data, but the data are not fully utilized, for example, whether a violation problem exists in a relevant operation or not cannot be judged based on the data generated by the management software systems.
Disclosure of Invention
It is an object of the present invention to overcome one or more of the deficiencies of the prior art and to provide an intelligent surveillance system.
The purpose of the invention is realized by the following technical scheme: an intelligent surveillance system, comprising:
the home page view module is used for displaying corresponding home page information for a user, wherein the home page information comprises one or more of city company early warning information, service type early warning information, map selection points, early warning trends, supervision results and my backlog;
the data management module is used for setting an early warning rule and/or a white list of each index;
the early warning and monitoring module is used for monitoring a target scene and acquiring corresponding index data according to a data acquisition rule, wherein the target scene comprises one or more of a marketing scene, an engineering project scene, a financial scene, a key minority scene and a vehicle management scene;
the supervision flow module is used for generating early warning information by utilizing a preset early warning rule and a white list according to the collected index data and processing the early warning information according to a preset flow;
the monitoring key case module is used for inquiring and exporting the early warning information of the target scene for management;
and the system management module is used for setting authority, and the authority setting comprises one or more of setting role authority, setting user authority and setting menu function authority.
Preferably, the intelligent supervision system further includes:
and the data backup module is used for performing data backup in a mode of regular full volume and regular increment and performing recovery verification irregularly.
Preferably, the intelligent supervision system further includes:
and the encryption and decryption module is used for decrypting the received data and encrypting the sent data.
Preferably, the home view module includes:
the city company early warning submodule is used for displaying early warning information of each unit in a histogram mode;
the service type early warning sub-module is used for displaying early warning information and percentage ratio information of each target scene in a pie chart mode;
the map point selection submodule is used for displaying the early warning information of each city in a city block map mode;
the early warning trend submodule is used for displaying the trend of the quantity of the early warning information in a preset time period;
the supervision result submodule is used for displaying supervision results of the early warning problems in a graphic mode, and the supervision results comprise comparison information of the problems which are finished, rectified and corrected and are to be handled;
and the My to-do submodule is used for displaying all the to-do problems.
Preferably, in the map point selection sub-module, the cities with different early warning numbers are displayed in different colors and are displayed according to the arrangement of the information of the early warning numbers.
Preferably, the data management module includes:
the data rule management submodule is used for setting an early warning rule and a corresponding threshold value of each index and setting a data acquisition rule of each index;
the white list submodule is used for setting a white list;
and the data export submodule is used for exporting the selected data in an excel format.
Preferably, the early warning supervision module includes:
the marketing supervision submodule is used for supervising indexes of a first supervision model and acquiring index data according to a data acquisition rule, and the first supervision model is used for supervising power charge errors, illegal errors and power charge refunding, illegal splitting capacity and illegal private increase transformers caused by transformation ratio errors of a marketing scene;
the financial supervision submodule is used for supervising indexes of a second supervision model and acquiring index data according to a data acquisition rule, and the second supervision model is used for monitoring the occurrence conditions of conference fees and education training fees in real time;
the engineering project supervision sub-module is used for supervising indexes of a third supervision model and acquiring index data according to a data acquisition rule, and the third supervision model is used for supervising the first preset personnel supplier and supplier relevance;
the key minority supervision submodule is used for supervising indexes of a fourth supervision model, acquiring index data according to data acquisition rules, and performing statistical analysis on party wind and low administrative ledger information in a low administrative audit model, wherein the fourth supervision model is used for supervising second preset personnel violation business enterprises;
and the vehicle management and supervision submodule is used for supervising indexes of a fourth supervision model and acquiring index data according to the data acquisition rule, and the fourth supervision model is used for supervising the abnormal vehicle using procedures and abnormal vehicle using behaviors in vehicle management.
Preferably, the honest and clean audit model is used for alternately extracting the contents of two forms to form an analysis result according to two forms with fixed formats imported by a user.
Preferably, the supervision flow module includes:
the problem list submodule is used for calculating the early warning information of all indexes through data modeling according to the early warning rule of each index and displaying the early warning information in a list mode;
the problem issuing sub-module is used for issuing the early warning information to the corresponding local city units or business departments;
the problem reporting submodule is used for feeding back the processing result of the early warning information issued by the superior unit by the city and the business department;
and the problem filing submodule is used for confirming the processing result of the early warning information reported by the prefecture department and the business department by the superior department and closing the early warning information after confirmation.
Preferably, the system management module includes:
the role management submodule is used for setting role accounts of three-level organizations of province, city and county and setting corresponding permissions for the role accounts;
and the menu function authority submodule is used for setting a role account capable of accessing the menu for each menu.
The invention has the beneficial effects that: according to the invention, the data generated by the existing management software system is acquired, and the corresponding early warning information is generated in a data modeling and threshold setting mode, so that the intelligent supervision of major cheap and clean risks in daily production management and operation activities is realized.
Drawings
Fig. 1 is a block diagram of an intelligent monitoring system.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, the present embodiment provides an intelligent monitoring system:
as shown in fig. 1, an intelligent monitoring system includes a home page view module, a data management module, an early warning and monitoring module, a monitoring process module, a monitoring critical situation module, and a system management module.
The home page view module is used for displaying corresponding home page information for a user, wherein the home page information comprises one or more of city company early warning information, business type early warning information, map selection points, early warning trends, supervision results and my backlog. Namely, after the user logs in the intelligent monitoring system, the home page view module displays the city company early warning information, the business type early warning information, the map point selection, the early warning trend, the supervision result, the my to-do information and the like to the user.
Specifically, the home page view module comprises a city company early warning sub-module, a business type early warning sub-module, a map point selection sub-module, an early warning trend sub-module, a supervision effect sub-module and a my to-do sub-module. The city company early warning submodule is used for displaying the early warning information of each unit in a histogram mode, and a user can conveniently check the early warning information of the unit to which the user belongs. The business type early warning submodule is used for displaying the early warning information and the percentage proportion information of each target scene in a pie chart mode, a user can conveniently check the type of the early warning information and the proportion (percentage) of each type of early warning information of a unit to which the user belongs, and the target scene generally comprises one or more of a marketing scene, an engineering project scene, a financial scene, a key minority scene and a vehicle management scene. The map point selection submodule is used for displaying the early warning information of each city in a city block map mode, displaying the cities with different early warning quantities in different colors, and displaying the cities according to the arrangement of the high and low information of the early warning quantities; the early warning information of each city is displayed in a city block map mode, so that a user can distinguish the early warning information of each city intuitively; the cities with different amounts of early warning information are distinguished and displayed in different colors, so that users can distinguish the cities with different amounts of early warning information conveniently. The early warning trend submodule is used for displaying the trend of the quantity of the early warning information in a preset time period, and a user can intuitively know the change condition of the quantity of the early warning information; the supervision achievement submodule is used for displaying supervision achievements of the early warning problems in a graphic mode, the supervision achievements comprise comparison information of completed rectification, rectification and to-be-handled problems, and a user can visually know rectification and rectification processing conditions of the problems related to the early warning information; the module to be handled is used for displaying all the problems to be handled, and is convenient for users to check the items needing to be processed.
The data management module is used for setting an early warning rule and/or a white list of each index, and specifically, the data management module comprises a data rule management submodule, a white list submodule and a data derivation submodule. The data rule management submodule is used for setting an early warning rule and a corresponding threshold value of each index, namely setting a normal interval of each index value, and when the index exceeds the normal interval, the supervision flow module carries out early warning to generate early warning information; the data rule management submodule is also used for setting data acquisition rules of all indexes, namely how to acquire numerical values (acquisition time, frequency and the like of the numerical values of the indexes) of all indexes, which numerical values of the indexes are acquired and the like. The white list submodule is used for setting a white list, and the white list is used for filtering data of partial indexes so as to filter invalid early warning generated under special conditions, namely for indexes and the like in the white list, early warning information cannot be generated even if the numerical values of the indexes exceed a normal range interval. The data export submodule is used for exporting the selected data in an excel format
The early warning and supervision module is used for supervising a target scene and acquiring corresponding index data according to a data acquisition rule, wherein the target scene comprises one or more of a marketing scene, an engineering project scene, a financial scene, a key minority scene and a vehicle management scene.
The early warning supervision module comprises a marketing supervision submodule, a financial supervision submodule, an engineering project supervision submodule, a key minority supervision submodule and a vehicle management supervision submodule.
The marketing supervision submodule is used for supervising indexes of a first supervision model and acquiring index data according to a data acquisition rule, and the first supervision model is used for supervising power charge errors, illegal errors, power charge refunding, illegal splitting capacity and illegal private increase transformers caused by transformation ratio errors of a marketing scene.
The financial supervision submodule is used for supervising indexes of a second supervision model and acquiring index data according to data acquisition rules, and the second supervision model is used for monitoring the occurrence conditions of meeting fees and education training fees in real time, namely supervising illegal fund consumption and education training fund consumption.
The engineering project supervision submodule is used for supervising indexes of a third supervision model and collecting index data according to data collection rules, and the third supervision model is used for supervising a first preset personnel belt supplier (such as an engineering project leader belt supplier) and supplier relevance.
The key minority supervision submodule is used for supervising indexes of a fourth supervision model, acquiring index data according to data acquisition rules, and statistically analyzing party wind and low administrative ledger information in the low administrative auditing model, and the fourth supervision model is used for supervising second preset personnel (for example, leaders of key minority and violation business enterprises of close relatives of the key minority) violation business enterprises. The honest and clean administration auditing model is used for alternately extracting the contents of two tables to form an analysis result according to the two fixed-format tables imported by a user: specifically, a user finally displays an analysis result on a system front-end interface by importing two fixed-format tables into the honest audit model; the analysis result is formed by utilizing code logic to extract the contents of the two tables in a crossed manner, and the intelligent feedback of the working conditions of the workers is realized by collecting key information such as leader names, jobs, letter and visit reflecting abstracts, problem clues, processing positions and the like.
The vehicle management and supervision sub-module is used for supervising indexes of a fourth supervision model and acquiring index data according to data acquisition rules, and the fourth supervision model is used for supervising vehicle use procedure abnormity and vehicle use behavior abnormity of vehicle management. In some embodiments, the method for supervising vehicle management of vehicular procedure exception is as follows: monitoring whether vehicle management is standard, whether vehicles are dispatched and approved on line or not in use, and whether GPS equipment of the vehicles is normal or not; specifically, the vehicles which do not pass through the online approval process may have the risk of private use of the bus, so that the use conditions of the vehicles which do not pass through the online vehicle dispatching process are screened, and then the use conditions can be investigated to check whether the private use of the bus exists; the vehicle without the GPS signal for a long time may have the risk of private use of a bus, and gives early warning to the vehicle which has the GPS in the continuous time and is not used for a certain period of time. In some embodiments, the method for supervising abnormal behavior of the vehicle comprises the following steps: whether the starting position of the vehicle is the same as the stopping position of the vehicle in the last use or not is checked, the possibility of artificial interference on the GPS exists under the condition that the positions are different, and the private risk of the bus is high; specifically, if the starting position of the vehicle is different from the stopping position of the vehicle when the vehicle is used last time, it is indicated that the GPS device is abnormal between the two vehicles, which may be the case of artificially interfering the GPS device, and the use condition of the vehicle cannot be supervised during the period, so that the risks of private use of the bus, illegal use of the vehicle and the like exist.
And the supervision flow module is used for generating early warning information by utilizing a preset early warning rule and a white list according to the acquired index data and processing the early warning information according to a preset flow. The supervision flow module comprises a problem list submodule, a problem issuing submodule, a problem reporting submodule and a problem filing submodule. The problem list submodule is used for calculating the early warning information of all indexes through data modeling according to the early warning rule of each index and displaying the early warning information in a list mode; the problem issuing sub-module is used for issuing the early warning information to the corresponding local city unit or business department; the problem reporting submodule is used for feeding back a processing result of early warning information issued by a superior unit by a city and a business department; and the problem filing submodule is used for confirming the processing result of the early warning information reported by the prefecture department and the business department by the superior department, and closing the early warning information after confirmation to form filing.
The supervision critical situation module is used for inquiring and exporting the early warning information of the target scene for management.
The system management module is used for setting authority, and the authority setting comprises one or more of setting role authority, setting user authority and setting menu function authority. The system management module comprises a role management submodule and a menu function authority submodule. The role management submodule is used for setting role accounts of three-level organizations of province, city and county and setting corresponding permissions for the role accounts; the menu function authority submodule is used for setting a role account capable of accessing the menu for each menu, and different accounts can only access system resources such as modules, menus, pages and the like within the authority range of the account.
The intelligent supervision system in the embodiment is used for being in butt joint with a data center of a company, and intelligent supervision of major cheap and clean risks in daily production management and operation activities is achieved through data modeling and threshold setting modes by utilizing various data resources (including ERP, financial management and control, a vehicle management system, marketing service application, an industrial unit NC platform and the like) of the data center of the company.
Generally, the intelligent monitoring system further includes a login module, configured to input an account and a corresponding password by a user, verify the account and the password input by the user, and after the verification is passed, the user successfully logs in the intelligent monitoring system.
In some embodiments, the intelligent monitoring system further comprises a data backup module, wherein the data backup module is used for performing data backup in a mode of regular full volume and regular increment and performing recovery verification irregularly, and the data backup improves the safety of the data.
In some embodiments, the intelligent surveillance system further includes an encryption and decryption module, where the encryption and decryption module is configured to decrypt received data and encrypt transmitted data, and data security is improved by encrypting data in a transmission process. The sensitive data storage is encrypted by using a national secret SM4, the sensitive data can be encrypted by using an SM4 and an SM4 secret key by using an SM2 in the transmission process.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An intelligent surveillance system, comprising:
the home page view module is used for displaying corresponding home page information for a user, wherein the home page information comprises one or more of city company early warning information, service type early warning information, map selection points, early warning trends, supervision results and my backlog;
the data management module is used for setting an early warning rule and/or a white list of each index;
the early warning and monitoring module is used for monitoring a target scene and acquiring corresponding index data according to a data acquisition rule, wherein the target scene comprises one or more of a marketing scene, an engineering project scene, a financial scene, a key minority scene and a vehicle management scene;
the supervision flow module is used for generating early warning information by utilizing a preset early warning rule and a white list according to the collected index data and processing the early warning information according to a preset flow;
the monitoring key case module is used for inquiring and exporting the early warning information of the target scene for management;
and the system management module is used for setting authority, and the authority setting comprises one or more of setting role authority, setting user authority and setting menu function authority.
2. The intelligent surveillance system of claim 1, further comprising:
and the data backup module is used for performing data backup in a mode of regular full volume and regular increment and performing recovery verification irregularly.
3. The intelligent surveillance system of claim 1, further comprising:
and the encryption and decryption module is used for decrypting the received data and encrypting the sent data.
4. The intelligent surveillance system of claim 1, wherein the home view module comprises:
the city company early warning submodule is used for displaying early warning information of each unit in a histogram mode;
the service type early warning sub-module is used for displaying early warning information and percentage ratio information of each target scene in a pie chart mode;
the map point selection submodule is used for displaying the early warning information of each city in a city block map mode;
the early warning trend submodule is used for displaying the trend of the quantity of the early warning information in a preset time period;
the supervision result submodule is used for displaying supervision results of the early warning problems in a graphic mode, and the supervision results comprise comparison information of the problems which are finished, rectified and corrected and are to be handled;
and the My to-do submodule is used for displaying all the to-do problems.
5. The intelligent surveillance system according to claim 4, wherein the map selection sub-module displays different colors for different numbers of cities and towns according to the number of early warnings.
6. The intelligent surveillance system of claim 1, wherein the data management module comprises:
the data rule management submodule is used for setting an early warning rule and a corresponding threshold value of each index and setting a data acquisition rule of each index;
the white list submodule is used for setting a white list;
and the data export submodule is used for exporting the selected data in an excel format.
7. The intelligent surveillance system of claim 1, wherein the early warning surveillance module comprises:
the marketing supervision submodule is used for supervising indexes of a first supervision model and acquiring index data according to a data acquisition rule, and the first supervision model is used for supervising power charge errors, illegal errors and power charge refunding, illegal splitting capacity and illegal private increase transformers caused by transformation ratio errors of a marketing scene;
the financial supervision submodule is used for supervising indexes of a second supervision model and acquiring index data according to a data acquisition rule, and the second supervision model is used for monitoring the occurrence conditions of conference fees and education training fees in real time;
the engineering project supervision sub-module is used for supervising indexes of a third supervision model and acquiring index data according to a data acquisition rule, and the third supervision model is used for supervising the first preset personnel supplier and supplier relevance;
the key minority supervision submodule is used for supervising indexes of a fourth supervision model, acquiring index data according to data acquisition rules, and performing statistical analysis on party wind and low administrative ledger information in a low administrative audit model, wherein the fourth supervision model is used for supervising second preset personnel violation business enterprises;
and the vehicle management and supervision submodule is used for supervising indexes of a fourth supervision model and acquiring index data according to the data acquisition rule, and the fourth supervision model is used for supervising the abnormal vehicle using procedures and abnormal vehicle using behaviors in vehicle management.
8. The intelligent surveillance system as claimed in claim 1, wherein the honest audit model is configured to extract the contents of two forms alternately to form the parsing result according to two forms of fixed format that are imported by the user.
9. The intelligent surveillance system of claim 1, wherein the surveillance process module comprises:
the problem list submodule is used for calculating the early warning information of all indexes through data modeling according to the early warning rule of each index and displaying the early warning information in a list mode;
the problem issuing sub-module is used for issuing the early warning information to the corresponding local city units or business departments;
the problem reporting submodule is used for feeding back the processing result of the early warning information issued by the superior unit by the city and the business department;
and the problem filing submodule is used for confirming the processing result of the early warning information reported by the prefecture department and the business department by the superior department and closing the early warning information after confirmation.
10. The intelligent surveillance system of claim 1, wherein the system management module comprises:
the role management submodule is used for setting role accounts of three-level organizations of province, city and county and setting corresponding permissions for the role accounts;
and the menu function authority submodule is used for setting a role account capable of accessing the menu for each menu.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210047193.0A CN114358439A (en) | 2022-01-17 | 2022-01-17 | Wisdom supervisory systems |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210047193.0A CN114358439A (en) | 2022-01-17 | 2022-01-17 | Wisdom supervisory systems |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114358439A true CN114358439A (en) | 2022-04-15 |
Family
ID=81091237
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210047193.0A Pending CN114358439A (en) | 2022-01-17 | 2022-01-17 | Wisdom supervisory systems |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114358439A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116109041A (en) * | 2023-03-06 | 2023-05-12 | 中建安装集团有限公司 | Engineering information security management system and method for digital project level |
| CN117830002A (en) * | 2023-12-29 | 2024-04-05 | 五矿资本控股有限公司 | Capital data management system and method |
-
2022
- 2022-01-17 CN CN202210047193.0A patent/CN114358439A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116109041A (en) * | 2023-03-06 | 2023-05-12 | 中建安装集团有限公司 | Engineering information security management system and method for digital project level |
| CN117830002A (en) * | 2023-12-29 | 2024-04-05 | 五矿资本控股有限公司 | Capital data management system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106557991B (en) | Voltage monitoring data platform | |
| CN114358439A (en) | Wisdom supervisory systems | |
| CN101470887A (en) | Credit early-warning system and method | |
| CN111738549A (en) | Food safety risk assessment method, device, equipment and storage medium | |
| CN103941652A (en) | Method and device suitable for security protection and security audit of various DCS production control systems | |
| CN103955787A (en) | Tax risk management and control system | |
| CN112241543A (en) | Sensitive data combing method based on data middling stage | |
| CN114094705A (en) | Low-voltage distribution room electricity stealing monitoring system based on line loss and user electricity consumption | |
| CN116628722B (en) | Financial data safety management processing system | |
| CN111047143A (en) | Power grid OMS-based regional and county team index management system | |
| CN113516337A (en) | Method and device for monitoring data security operation | |
| CN112348316A (en) | Safety management system for realizing risk and hidden danger classification | |
| CN114357473A (en) | Virtual power plant aggregation and distributed regulation and control system and method based on block chain | |
| CN111815290A (en) | Territorial space planning system based on GIS | |
| Argyriou et al. | Occupational fraud detection through visualization | |
| CN112232843B (en) | Drug supervision system and method based on big data technology | |
| Wei et al. | Analysis Of Countermeasures For Risk Management Of Construction Engineering | |
| CN103106555B (en) | Maintaining-managing system based on the integration of online off-line and method | |
| CN111667243A (en) | Business audit system based on ERP system | |
| CN109933798A (en) | A kind of audit log analysis method and device | |
| CN113869758A (en) | Intelligent two-ticket management and operation site risk early warning system | |
| CN114021171A (en) | Data security protection method based on big data | |
| CN113554408A (en) | Capital efficiency supervision big data platform | |
| CN111046428A (en) | Client data information security protection system and method for scientific and technological service | |
| CN112800437B (en) | Information security risk evaluation system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |