CN116822885A - Information management method and system based on gridding - Google Patents
Information management method and system based on gridding Download PDFInfo
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- CN116822885A CN116822885A CN202310801674.0A CN202310801674A CN116822885A CN 116822885 A CN116822885 A CN 116822885A CN 202310801674 A CN202310801674 A CN 202310801674A CN 116822885 A CN116822885 A CN 116822885A
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- 238000012544 monitoring process Methods 0.000 claims abstract description 45
- 238000004458 analytical method Methods 0.000 claims abstract description 22
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- 238000010224 classification analysis Methods 0.000 claims abstract description 7
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses an information management method and a management system based on gridding, which divide gridding areas according to the total amount of work tasks and the distribution situation of the work tasks in a work task instruction, acquire work data fed back by appointed workers in the task area grid points, perform standardization processing and analysis, generate task progress monitoring data corresponding to the task area grid points, divide the received task progress monitoring data into three types of satisfaction grade data, qualification grade data and disqualification grade data by adopting a classification analysis method, and pertinently allocate the task area grid corresponding to the disqualification grade data and all workers allocated to the task area grid for the second time, so that optimization of task allocation can be realized, and the work and the sub-responsibility have the best matching degree, thereby orderly propelling the work, and being beneficial to efficient implementation of the work.
Description
Technical Field
The invention relates to the technical field of information management, in particular to an information management method and system based on gridding.
Background
The information management can provide scientific basis for the upper level to make leading guidelines and decision instructions, is helpful for promoting policy implementation of guidelines on the basic level, and has important significance for self construction and development.
With the continuous development and progress of technology, basic groups can acquire information through some modern technical means, such as official websites, internal files, newspaper magazines, broadcast televisions and the like, but for some work of policy organization activities, the work is often advanced by means of visit and investigation of basic staff, and due to lack of scientific management methods, the work encounters various barriers in the basic-level advancing implementation process, and the work is mainly reflected in that task allocation is unreasonable or work task responsible persons and work tasks are not matched, so that the work progress is slow, and the work implementation period is increased. Therefore, we propose a gridding-based information management method and management system.
Disclosure of Invention
The invention mainly aims to provide an information management method and an information management system based on gridding, which can effectively solve the problems in the background technology.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a gridding-based information management method, the method comprising:
acquiring a work task instruction sent by an administrator;
acquiring all information which participates in the work and is numbered Ai, wherein i is the number of a worker participating in the work, i=1, 2 and 3..n;
dividing task area grids according to the specific content of the work task instruction, numbering the divided grid points in sequence, wherein the number is Gi, i is a grid serial number, and i=1, 2 and 3..m, wherein the division principle of the task area grids is to divide areas such as cities, streets, communities and villages into different grids according to the total amount of work tasks and the distribution situation of the work tasks in the work task instruction, and the work task amount errors in any two grid areas are controlled to be within a reasonable threshold value range;
the second analysis module adopts a classification analysis method to divide the received task progress monitoring data into three types of satisfaction grade data, qualification grade data and disqualification grade data;
the specific implementation steps of the classification analysis method are as follows:
step 1, acquiring task progress monitoring data Pi corresponding to all task area grid points G i;
step 2, creating a sample set by using the numerical value of the task progress monitoring data Pi, and recording as { P } 1 ，P 2 ，、、、，P n }；
Step 3, obtaining the mean value and standard deviation in the sample set, and normalizing the data by using the mean value and standard deviation, wherein the normalization formula is as followsIn the formula, z is a standard parameter, sigma is the variance of sample data, and mu is the mean value of the sample data;
step 4, after finishing the markAfter normalization, standard parameters are utilizedAdjust the value interval to [0,1 ]]Between them;
step 5, classifying the task progress monitoring data value by using the function value of f (k), wherein the classification mechanism is as follows:
when (when)The task progress monitoring data value is classified into a failure grade;
when (when)The task progress monitoring data value is classified into a qualified grade;
when (when)The task progress monitoring data value is classified into a satisfaction level;
the task area with the number of G i is distributed to appointed staff according to a distribution principle;
the specific implementation steps of the task area allocation are as follows:
step 1, acquiring specific contents of the work task instruction;
step 2, evaluating the total amount of the work tasks in the specific content of the work task instruction;
step 3, analyzing the distribution situation of the work task in the specific content of the work task instruction, and obtaining a work task distribution scatter diagram;
step 4, dividing areas such as cities, streets, communities, villages and the like into different grids according to the evaluation result of the total amount of the work tasks and the acquired work task distribution scatter diagram;
step 5, setting a reasonable task amount error threshold, comparing the magnitudes of the work task amounts in any two grid areas, and completing task allocation when the difference value of the work task amounts in any two grid areas is within the set reasonable task amount error threshold;
when the situation that the difference value of the work task amounts in the two grid areas is outside the set task amount error reasonable threshold value exists, returning to the step 3 until the task allocation is completed;
acquiring the work data fed back by the designated staff member responsible for the task area grid point G i, integrating the acquired work data, performing normalization processing, analyzing the normalized data, generating task progress monitoring data P i corresponding to the task area grid point G i, wherein, pu is the amount of completed tasks, pt is the total amount of tasks;
the generated task progress monitoring data are sent to the second analysis module;
the second analysis module analyzes the received task progress monitoring data, adjusts the allocation principle according to an analysis result, and the object for adjusting the allocation principle is a task area grid corresponding to the unqualified level of the task progress monitoring data and all staff allocated to the task area grid.
A gridding-based information management system for implementing the steps of the information management method as claimed in claim 1,
the system comprises:
the first sending terminal is used for sending a work task instruction by an administrator;
the first acquisition module is used for acquiring the work task instruction information sent by the administrator through the first sending terminal;
the second acquisition module is used for acquiring all the information participating in the work;
the first distribution module is used for distributing the task area to the appointed staff;
a third obtaining module, configured to obtain working data fed back by the designated worker responsible for the task area grid point G i;
the first analysis module is used for integrating the acquired working data, then carrying out normalization processing, and analyzing the normalized data to generate task progress monitoring data P i corresponding to the task area grid points G i;
the second sending terminal is used for sending the generated task progress monitoring data to the second analysis module;
and the second analysis module is used for analyzing the received task progress monitoring data, adjusting the distribution principle according to the analysis result and generating a new distribution strategy.
The system further comprises:
the first numbering module is used for numbering all staff participating in the work;
the second numbering module is used for dividing the task area grids and numbering the divided grid points;
and the second distribution module is used for carrying out secondary distribution on the task area grid corresponding to the unqualified grade of the task progress monitoring data and all staff distributed to the task area grid according to the newly generated distribution strategy.
The system further comprises:
the task evaluation module is used for analyzing the specific content of the work task instruction and acquiring the total amount information of the work task;
the task distribution scatter diagram drawing module is used for obtaining a task distribution scatter diagram by carrying out task distribution conditions in specific contents of the task instructions;
the task quantity comparison module is used for comparing the magnitudes of the work task quantities in any two grid areas and obtaining a work task quantity difference value;
the system further includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor performs the steps of the method when the program is executed.
The invention has the following beneficial effects:
(1) According to the technical scheme, areas such as cities, streets, communities and villages are divided into different grids according to the total work task amount and the work task distribution conditions in a work task instruction, the divided task areas are matched with appointed workers, work data fed back by the appointed workers in charge of the task area grid points are obtained, the obtained work data are integrated and normalized, the normalized data are analyzed to generate task progress monitoring data corresponding to the task area grid points, the received task progress monitoring data are divided into three types of satisfaction grade data, qualification grade data and disqualification grade data by adopting a classification analysis method, task area grids corresponding to the disqualification grade data and all workers distributed in the task area grids are subjected to secondary distribution in a targeted manner, optimization of task distribution can be achieved, the best matching degree between work and responsibility distribution is achieved, and therefore the orderly progress of work is promoted, and efficient implementation of work is facilitated.
Drawings
FIG. 1 is a schematic diagram of the overall structure of a gridding-based information management system according to the present invention;
fig. 2 is a schematic diagram of task allocation flow of the gridding-based information management method according to the present invention.
Detailed Description
The present invention will be further described with reference to the following detailed description, wherein the drawings are for illustrative purposes only and are presented as schematic drawings, rather than physical drawings, and are not to be construed as limiting the invention, and wherein certain components of the drawings are omitted, enlarged or reduced in order to better illustrate the detailed description of the present invention, and are not representative of the actual product dimensions.
Example 1
As shown in fig. 1-2, the method for managing information based on gridding includes:
acquiring a work task instruction sent by an administrator;
acquiring information of all staff participating in the work and having the number Ai, wherein i is the number of the staff participating in the work, i=1, 2, 3..n;
dividing task area grids according to the specific content of a work task instruction, and numbering the divided grid points in sequence, wherein the number is G i, i is a grid serial number, and i=1, 2 and 3..m;
the task area with the number of G i is distributed to appointed staff according to a distribution principle;
working data fed back by a designated worker responsible for task area grid points G i is acquired, the acquired working data is integrated and normalized, the normalized data is analyzed, task progress monitoring data Pi corresponding to task area grid points G i are generated, wherein, pu is the amount of completed tasks, pt is the total amount of tasks;
the generated task progress monitoring data are sent to a second analysis module;
the second analysis module analyzes the received task progress monitoring data and adjusts the allocation principle according to the analysis result.
The specific implementation steps of the technical scheme of the invention are as follows:
step 1), when work distribution is needed, an administrator sends a terminal work task instruction through a first sending terminal;
step 2), a first acquisition module receives a work task instruction sent by an administrator through a first sending terminal, and acquires relevant information of the work task instruction, such as a task type, a task implementation area, task related personnel and the like;
step 3), according to the obtained relevant information of the work task instruction, the second obtaining module obtains the information of all the workers participating in the work, and numbers all the workers participating in the work through the first numbering module to obtain the staff numbers A1-An;
step 4), dividing the areas such as cities, streets, communities, villages and the like into different grids according to the total amount of the work tasks and the distribution situation of the work tasks in the work task instruction by a second numbering module, and sequentially numbering the divided grid points to obtain grid numbers G1-Gn;
step 5), distributing the task areas to appointed staff through a first distribution module, and in the distribution process, in order to ensure uniform and reasonable distribution, uniformly distributing the task areas by controlling the work task amount errors in any two grid areas within a reasonable threshold range;
the task area allocation method comprises the following specific implementation steps:
step 51, obtaining specific contents of a work task instruction;
step 52, evaluating the total amount of the work tasks in the specific content of the work task instruction through a task evaluation module, and acquiring information of the total amount of the work tasks;
step 53, analyzing the work task distribution situation in the specific content of the work task instruction through a task distribution scatter diagram drawing module, and obtaining a work task distribution scatter diagram;
step 54, dividing the areas such as cities, streets, communities, villages and the like into different grids according to the evaluation result of the total amount of the work tasks and the acquired work task distribution scatter diagram;
step 55, setting a reasonable task amount error threshold value through a task amount comparison module, comparing the magnitude of the work task amount in any two grid areas, and completing task distribution when the difference value of the work task amounts in any two grid areas is within the set reasonable task amount error threshold value;
when the situation that the difference value of the work task amounts in the two grid areas is outside the set task amount error reasonable threshold exists, returning to the step 53 until the task allocation is completed;
step 6), acquiring working data fed back by appointed staff responsible for the task area grid point G i through a third acquisition module, integrating the acquired working data through a first analysis module, then carrying out standardization processing, analyzing the data after the standardization processing, and generating task progress monitoring data Pi corresponding to the task area grid point Gi;
step 7), the generated task progress monitoring data are sent to a second analysis module through a second sending terminal;
step 8), the second analysis module classifies the received task progress monitoring data into three types of satisfaction grade data, qualification grade data and disqualification grade data by adopting a classification analysis method, and the specific steps are as follows:
step 81, acquiring task progress monitoring data P i corresponding to all task area grid points G i;
step 82, creating a sample set using the values of the mission progress monitor data P i, denoted as { P ] 1 ，P 2 ，、、、，P n }；
Step 83, obtaining the mean value and standard deviation in the sample set, and normalizing the data by using the mean value and standard deviation, wherein the normalization formula is as followsIn the formula, z is a standard parameter, sigma is the variance of sample data, and mu is the mean value of the sample data;
step 84, after normalization is completed, the standard parameters are utilizedAdjust the value interval to [0,1 ]]Between them;
step 85, classifying the task progress monitoring data value by using the function value of f (k), wherein the classification mechanism is as follows:
when (when)The task progress monitoring data value is classified into a failure grade;
when (when)The task progress monitoring data value is classified into a qualified grade;
when (when)At the time, the task progress monitoring data value is classified as satisfactory or the likeA stage;
step 9), after a task progress monitoring data value classification result is obtained, performing secondary adjustment on a task area grid corresponding to the unqualified grade of the task progress monitoring data and all staff distributed in the task area grid, and generating a new distribution strategy through a second analysis module;
and step 10), performing secondary distribution on the task area grids corresponding to the unqualified grades of the task progress monitoring data and all staff distributed to the task area grids by a second distribution module according to the newly generated distribution strategy.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The information management method based on gridding is characterized by comprising the following steps of: the method comprises the following steps:
acquiring a work task instruction sent by an administrator;
acquiring information of all staff participating in the work and having the number Ai, wherein i is the number of the staff participating in the work, i=1, 2, 3..n;
dividing task area grids according to the specific content of the work task instruction, and numbering the divided grid points in sequence, wherein the number is Gi, i is a grid serial number, and i=1, 2 and 3..m;
the task area with the number Gi is distributed to appointed staff according to a distribution principle;
acquiring the working data fed back by the appointed staff responsible for the task area grid point Gi, integrating the acquired working data, performing standardization processing, analyzing the data after the standardization processing,task progress monitor data Pi corresponding to the task area grid point Gi is generated, wherein, pu is the amount of completed tasks, pt is the total amount of tasks;
analyzing the received task progress monitoring data, and adjusting the allocation principle according to the analysis result to generate a new allocation strategy;
and performing secondary allocation of the tasks according to the generated new allocation strategy.
2. The gridding-based information management method according to claim 1, characterized in that: the division principle of the task area grids is to divide areas such as cities, streets, communities, villages and the like into different grids according to the total amount of the work tasks and the distribution situation of the work tasks in the work task instructions, and the work task amount errors in any two grid areas are controlled to be within a reasonable threshold range.
3. The gridding-based information management method according to claim 2, characterized in that: the specific implementation steps of the task area allocation are as follows:
step 1, acquiring specific contents of the work task instruction;
step 2, evaluating the total amount of the work tasks in the specific content of the work task instruction;
step 3, analyzing the distribution situation of the work task in the specific content of the work task instruction, and obtaining a work task distribution scatter diagram;
step 4, dividing areas such as cities, streets, communities, villages and the like into different grids according to the evaluation result of the total amount of the work tasks and the acquired work task distribution scatter diagram;
step 5, setting a reasonable task amount error threshold, comparing the magnitudes of the work task amounts in any two grid areas, and completing task allocation when the difference value of the work task amounts in any two grid areas is within the set reasonable task amount error threshold;
and when the situation that the difference value of the work task amounts in the two grid areas is outside the set task amount error reasonable threshold exists, returning to the step 3 until the task allocation is completed.
4. The gridding-based information management method according to claim 1, characterized in that: the second analysis module adopts a classification analysis method to divide the received task progress monitoring data into three types of satisfaction grade data, qualification grade data and disqualification grade data.
5. The gridding-based information management method according to claim 4, wherein: the specific implementation steps of the classification analysis method are as follows:
step 1, acquiring task progress monitoring data Pi corresponding to all task area grid points Gi;
step 2, creating a sample set by using the numerical value of the task progress monitoring data Pi, and recording as { P } 1 ，P 2 ，、、、，P n }；
Step 3, obtaining the mean value and standard deviation in the sample set, and normalizing the data by using the mean value and standard deviation, wherein the normalization formula is as followsIn the formula, z is a standard parameter, sigma is the variance of sample data, and mu is the mean value of the sample data;
step 4, after the standardization is completed, utilizing the standard parametersAdjust the value interval to [0,1 ]]Between them;
step 5, classifying the task progress monitoring data value by using the function value of f (k), wherein the classification mechanism is as follows:
when (when)The task progress monitoring data value is classified into a failure grade;
when (when)The task progress monitoring data value is classified into a qualified grade;
when (when)At this time, the task progress monitor data value is classified as a satisfaction level.
6. The gridding-based information management method according to claim 1, characterized in that: and the object for adjusting the allocation principle is a task area grid corresponding to the unqualified grade of the task progress monitoring data, and all staff allocated to the task area grid.
7. The information management system based on gridding is characterized in that: the system is adapted to implement the steps of the information management method as claimed in claim 1,
the system comprises:
the first sending terminal is used for sending a work task instruction by an administrator;
the first acquisition module is used for acquiring the work task instruction information sent by the administrator through the first sending terminal;
the second acquisition module is used for acquiring all the staff information participating in the work;
the first distribution module is used for distributing the task area to the appointed staff;
the third acquisition module is used for acquiring the work data fed back by the appointed staff responsible for the task area grid point Gi;
the first analysis module is used for integrating the acquired working data, then carrying out standardization processing, and analyzing the data after the standardization processing to generate task progress monitoring data Pi corresponding to the task area grid points Gi;
the second sending terminal is used for sending the generated task progress monitoring data to the second analysis module;
and the second analysis module is used for analyzing the received task progress monitoring data, adjusting the distribution principle according to the analysis result and generating a new distribution strategy.
8. The gridding-based information management system of claim 7, wherein: the system further comprises:
the first numbering module is used for numbering all staff participating in the work;
the second numbering module is used for dividing the task area grids and numbering the divided grid points;
and the second distribution module is used for carrying out secondary distribution on the task area grid corresponding to the unqualified grade of the task progress monitoring data and all staff distributed to the task area grid according to the newly generated distribution strategy.
9. The gridding-based information management system of claim 7, wherein: the system further comprises:
the task evaluation module is used for analyzing the specific content of the work task instruction and acquiring the total amount information of the work task;
the task distribution scatter diagram drawing module is used for obtaining a task distribution scatter diagram by carrying out task distribution conditions in specific contents of the task instructions;
the task quantity comparison module is used for comparing the magnitudes of the work task quantities in any two grid areas and obtaining a work task quantity difference value;
10. the gridding-based information management system of claim 7, wherein: the system further comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1-6 when the program is executed by the processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310801674.0A CN116822885A (en) | 2023-07-03 | 2023-07-03 | Information management method and system based on gridding |
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| CN202310801674.0A CN116822885A (en) | 2023-07-03 | 2023-07-03 | Information management method and system based on gridding |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649069A (en) * | 2023-11-07 | 2024-03-05 | 北京城建设计发展集团股份有限公司 | Multi-area operation and maintenance resource overall scheduling method based on genetic algorithm |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649069A (en) * | 2023-11-07 | 2024-03-05 | 北京城建设计发展集团股份有限公司 | Multi-area operation and maintenance resource overall scheduling method based on genetic algorithm |
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