CN113961726B - Command task matching method and system - Google Patents
Command task matching method and system Download PDFInfo
- Publication number
- CN113961726B CN113961726B CN202111557714.9A CN202111557714A CN113961726B CN 113961726 B CN113961726 B CN 113961726B CN 202111557714 A CN202111557714 A CN 202111557714A CN 113961726 B CN113961726 B CN 113961726B
- Authority
- CN
- China
- Prior art keywords
- command
- task
- historical
- command task
- name
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/383—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/194—Calculation of difference between files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- General Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- Library & Information Science (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a command task matching method and a system, wherein the method comprises the following steps: acquiring the name of a command task to be formulated; searching the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated; determining the matching degree based on the name of the command task to be formulated and the name of the historical command task; determining a comprehensive evaluation value of the historical command task according to the matching degree and the number of the persons completing the historical command task corresponding to the matching degree; and formulating a command task according to the comprehensive evaluation value. The instructor can check the basic information of the historical command task according to the comprehensive evaluation value and formulate the command task, so that the efficiency and the accuracy of formulating the command task are improved.
Description
Technical Field
The invention relates to the field of command task matching, in particular to a command task matching method and a command task matching system.
Background
Under the condition of current high-technology battle, the command task is a complex task, has the characteristics of emergent performance, instability, nonlinearity, uncertainty, unpredictability, complex influence factors and the like, and requires that a commander can modify and adjust a plan in real time according to the change of battlefield situation, so that higher requirements are provided for formulating command simulation training or actually commanding a drill task and improving the capability of the commander for a team.
In order to meet the command requirements under high technical conditions, the advantages and the defects of the army commanders in task execution need to be known, the advantage improvement short board is consolidated, a matching analysis system of historical command tasks and newly-prepared command tasks is established, the tasks with poor completion conditions of the commanders are searched in a certain mode, and experience reference and reason analysis are carried out before the new tasks are prepared.
At present, the research results of the system and the method for matching the command task are many, but most of the research results focus on a pure algorithm without physical significance, or the operation is complex and a large amount of operations are needed. This method is often time consuming, not economical to implement, and not efficient.
Disclosure of Invention
The invention aims to provide a command task matching method and a command task matching system, which aim to solve the problem of low matching efficiency of the command task matching method in the prior art.
In order to achieve the purpose, the invention provides the following scheme:
a command task matching method comprises the following steps:
acquiring the name of a command task to be formulated;
searching the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated; the database comprises historical command tasks;
determining the matching degree based on the name of the command task to be formulated and the name of the historical command task;
determining a comprehensive evaluation value of the historical command task according to the matching degree and the number of the persons completing the historical command task corresponding to the matching degree;
and formulating a command task according to the comprehensive evaluation value.
Optionally, the retrieving, based on the database, the name of the command task to be formulated to obtain a plurality of historical command tasks matched with the name of the command task to be formulated specifically includes:
acquiring a keyword of the name of the command task to be formulated;
and determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
Optionally, the determining the matching degree based on the name of the command task to be formulated and the name of the historical command task specifically includes:
determining semantic similarity between the name of the command task to be formulated and the name of each historical command task by using a semantic similarity algorithm; and taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
Optionally, the determining a comprehensive evaluation value of the historical command task according to the matching degree and the number of the staff completing the historical command task corresponding to the matching degree specifically includes:
carrying out normalization processing on the matching degree to obtain a standardized matching degree;
and determining the comprehensive evaluation value of each historical command task according to the standardized matching degree and the number of the finished personnel.
Optionally, the determining a comprehensive evaluation value of each historical commanding task according to the standardized matching degree and the number of the completing staff specifically includes:
according to the formula
Determining a comprehensive evaluation value of each historical command task; wherein the content of the first and second substances,W i is as followsiThe comprehensive evaluation value of each historical command task;Y i is as followsiThe standardized matching degree of each historical command task;S i is as followsiThe number of persons completing each historical command task.
A command task matching system, comprising:
the name acquisition module is used for acquiring the name of the command task to be formulated;
the retrieval module is used for retrieving the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated; the database comprises historical command tasks;
the matching degree determining module is used for determining the matching degree based on the name of the command task to be formulated and the name of the historical command task;
the comprehensive evaluation value determining module is used for determining the comprehensive evaluation value of the historical command task according to the matching degree and the number of the finished personnel of the historical command task corresponding to the matching degree;
and the task formulation module is used for formulating a command task according to the comprehensive evaluation value.
Optionally, the retrieving module specifically includes:
the keyword acquisition unit is used for acquiring keywords of the name of the command task to be formulated;
and the retrieval unit is used for determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
Optionally, the matching degree determining module specifically includes:
the semantic similarity determining unit is used for determining the semantic similarity between the name of the command task to be formulated and the name of each historical command task by utilizing a semantic similarity algorithm; and taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
Optionally, the comprehensive evaluation value determining module specifically includes:
the normalization processing unit is used for performing normalization processing on the matching degree to obtain a normalized matching degree;
and the comprehensive evaluation value determining unit is used for determining the comprehensive evaluation value of each history commanding task according to the standardized matching degree and the number of the finished personnel.
Optionally, the comprehensive evaluation value determining unit specifically includes:
a calculation subunit for calculating according to a formula
Determining a comprehensive evaluation value of each historical command task; wherein the content of the first and second substances,Wiis as followsiThe comprehensive evaluation value of each historical command task;Yiis as followsiThe standardized matching degree of each historical command task;Siis as followsiThe number of persons completing each historical command task.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the command task matching method and system, the names of the command tasks to be formulated are retrieved in the database to obtain a plurality of historical command tasks similar to the command tasks to be formulated, the matching degree of the names of the command tasks to be formulated and the names of the historical command tasks is calculated, the matching degree is combined with the number of the finishing personnel of the historical command tasks corresponding to the matching degree, the comprehensive evaluation value of the historical command tasks is calculated, and a director formulates the command tasks according to the comprehensive evaluation value. The instructor can check the basic information of the historical command task according to the comprehensive evaluation value and formulate the command task, so that the efficiency and the accuracy of formulating the command task are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a method for matching command tasks according to the present invention;
fig. 2 is a structural diagram of a command task matching system provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a command task matching method and a command task matching system, which aim to solve the problem of low matching efficiency of the command task matching method in the prior art.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a flowchart of a command task matching method provided by the present invention, and as shown in fig. 1, the command task matching method includes:
step 101: and acquiring the name of the command task to be formulated.
Step 102: and retrieving the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated. The database comprises historical command tasks.
Step 103: and determining the matching degree based on the name of the command task to be formulated and the name of the historical command task.
Step 104: and determining the comprehensive evaluation value of the historical command task according to the matching degree and the number of the persons completing the historical command task corresponding to the matching degree.
Step 105: and formulating a command task according to the comprehensive evaluation value.
In a specific embodiment, the step 102 specifically includes:
and acquiring the keywords of the name of the command task to be formulated.
And determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
In a specific embodiment, the step 103 specifically includes:
and determining the semantic similarity between the name of the command task to be formulated and the name of each historical command task by using a semantic similarity algorithm. And taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
In a specific embodiment, the step 104 specifically includes:
and carrying out normalization processing on the matching degree to obtain a standardized matching degree.
And determining the comprehensive evaluation value of each historical command task according to the standardized matching degree and the number of the finished personnel.
In a specific embodiment, the determining a comprehensive evaluation value of each historical commanding task according to the normalized matching degree and the number of completed persons specifically includes:
according to the formula
And determining a comprehensive evaluation value of each historical commanding task. Wherein the content of the first and second substances,W i is as followsiThe comprehensive evaluation value of each historical command task;Y i is as followsiThe standardized matching degree of each historical command task;S i is as followsiThe number of persons completing each historical command task.
Fig. 2 is a structural diagram of a command task matching system provided by the present invention, and as shown in fig. 2, the command task matching system includes:
the name obtaining module 201 is configured to obtain a name of a command task to be formulated.
And the retrieval module 202 is configured to retrieve the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated. The database comprises historical command tasks. In practical applications, the retrieval module 202 is mainly used for retrieving historical command tasks in a database matched with new command task names, and can help an instructor to perform a first round of task relevance screening.
And the matching degree determining module 203 is used for determining the matching degree based on the name of the command task to be formulated and the name of the historical command task. In practical application, the matching degree determining module 203 calculates the matching degree between the name of the retrieved historical command task and the name of the command task to be formulated, and lays a foundation for calculating the comprehensive evaluation value of the historical command task later.
And a comprehensive evaluation value determining module 204, configured to determine a comprehensive evaluation value of the historical commanding task according to the matching degree and the number of the completing persons of the historical commanding task corresponding to the matching degree. In practical application, the screened historical command tasks are arranged from high to low according to the matching degree and the comprehensive evaluation value, and the visualization and the logicality of task arrangement are increased.
The comprehensive evaluation value determining module utilizes a formula
And fusing the matching degree of the historical command task and the number of the actually completed personnel of the historical command task into a comprehensive evaluation value.
The instructor can check the tasks which are related to the command task name to be formulated and have poor execution conditions through the comprehensive evaluation value of each historical command task, and a certain degree of experience reference is provided for the instructor to formulate a new command task.
And the task formulation module 205 is used for formulating a command task according to the comprehensive evaluation value.
In a specific embodiment, the retrieving module 202 specifically includes:
and the keyword acquisition unit is used for acquiring the keywords of the names of the command tasks to be formulated.
And the retrieval unit is used for determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
In a specific embodiment, the matching degree determining module 203 specifically includes:
and the semantic similarity determining unit is used for determining the semantic similarity between the name of the command task to be formulated and the name of each historical command task by utilizing a semantic similarity algorithm. And taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
In an embodiment, the comprehensive evaluation value determining module 204 specifically includes:
and the normalization processing unit is used for performing normalization processing on the matching degree to obtain the normalized matching degree.
And the comprehensive evaluation value determining unit is used for determining the comprehensive evaluation value of each history commanding task according to the standardized matching degree and the number of the finished personnel.
In an embodiment, the comprehensive evaluation value determining unit specifically includes:
a calculation subunit for calculating according to a formula
And determining a comprehensive evaluation value of each historical commanding task. Wherein the content of the first and second substances,Wiis as followsiThe comprehensive evaluation value of each historical command task;Yiis as followsiThe standardized matching degree of each historical command task;Siis as followsiThe number of persons completing each historical command task.
In practical application, the command task matching system is connected with a command database in the army, the database comprises basic information of historical command tasks, the historical command tasks comprise historical simulation command tasks and historical actual command drills, and the basic information comprises names, times, the number of finished staff, task contents and the like of the historical command tasks.
When a director formulates a new command task, the name of the command task can be input into the command task matching system, and a retrieval button is clicked, so that data of an internal database of a troop can be comprehensively searched according to a keyword retrieval algorithm, a historical command task matched with a keyword is finally retrieved, and the matching degree of the corresponding task is calculated.
And calculating the matching degree of the corresponding task by using a semantic similarity algorithm of Dekang Li, wherein when the name of a new command task is searched, the semantic similarity algorithm can simultaneously calculate the semantic similarity between the name of the new command task and the name of the historical command task to be used as the matching degree of each task.
And finally, displaying the retrieved history command tasks in a list mode, and arranging the history command tasks according to the matching degree from high to low, wherein the matching degree of the tasks is displayed beside each history command task in the list.
The matching degree of all the retrieved historical command tasks is Tn(n = 1.2.3.4.) the number of corresponding task-completing persons is Sn（n=1.2.3.4...）。
The historical command task matching degree sequence T1，T2......TnProcessing and converting by using a normalization method to obtain a standardized sequence Y of the historical command task matching degree sequence1，Y2......Yn。
The normalization processing formula is as follows:
normalized sequence Y1，Y2......Yn∈[0,1]Is dimensionless and is obviously
。
Standardized sequence Y of matching degree sequence of historical command tasksnAnd the number S of persons who completed the corresponding tasknRespectively multiplying corresponding numerical values in the two sequences to obtain a comprehensive evaluation value of the command taskW i The formula is as follows:
. Wherein the content of the first and second substances,W i is as followsiThe comprehensive evaluation value of each historical command task;Y i is as followsiThe standardized matching degree of each historical command task;S i is as followsiThe number of persons completing each historical command task.
In practical application, a function button of 'comprehensive evaluation' is designed above the list. And clicking a comprehensive evaluation button in the system by an instructor to obtain a comprehensive evaluation value of each historical command task, and rearranging the matched historical command tasks from high to low according to the comprehensive evaluation values in a list manner.
The instructor can view the basic information of the historical commanding task with a lower evaluation value according to the comprehensive evaluation value of the historical commanding task, such as the names, times, the number of finished personnel, task content and the like of the simulation commanding task and the actual commanding and practicing.
The invention provides a command task matching method and a command task matching system, and provides a function of matching historical command tasks and providing reference for an instructor to formulate a new command task. The command task matching system is connected with a database in the army, the name of a new command task formulated by an instructor is matched with the existing historical command tasks in the database, and the command tasks with poor performance of the past personnel are screened out through certain calculation, so that the instructor can take the assessment mode and the assessment content of the historical command tasks as the reference for formulating the new command tasks to analyze reasons, thereby indicating the direction for further improving the short board and the efficiency of the instructor and formulating the command tasks meeting the actual requirements of the instructor.
The invention provides a command task matching method and a system thereof, which have the following advantages:
the historical command task performance condition is used as a basis for formulating a new command task, the data is real and reliable, and the referential performance is strong.
The database of the connecting army is directly matched with tasks, the algorithm is simple, the operation is simple and convenient, the efficiency is high, and the time can be effectively saved.
The two dimensions of the task matching degree and the number of task completion personnel are combined to form a comprehensive evaluation value, certain scientificity and accuracy are achieved, and the unicity and the bias of data judgment caused by a one-sided mode are reduced.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A command task matching method is characterized by comprising the following steps:
acquiring the name of a command task to be formulated;
searching the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated; the database comprises historical command tasks;
determining the matching degree based on the name of the command task to be formulated and the name of the historical command task;
determining a comprehensive evaluation value of the historical command task according to the matching degree and the number of the persons completing the historical command task corresponding to the matching degree;
and formulating a command task according to the comprehensive evaluation value.
2. The command task matching method according to claim 1, wherein the retrieving the name of the command task to be formulated based on the database to obtain a plurality of historical command tasks matching the name of the command task to be formulated specifically comprises:
acquiring a keyword of the name of the command task to be formulated;
and determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
3. The command task matching method according to claim 1, wherein the determining a matching degree based on the name of the command task to be formulated and the name of the historical command task specifically comprises:
determining semantic similarity between the name of the command task to be formulated and the name of each historical command task by utilizing a semantic similarity algorithm; and taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
4. The command task matching method according to claim 1, wherein the determining a comprehensive evaluation value of the historical command task according to the matching degree and the number of the persons completing the historical command task corresponding to the matching degree specifically includes:
carrying out normalization processing on the matching degree to obtain a standardized matching degree;
and determining the comprehensive evaluation value of each historical command task according to the standardized matching degree and the number of the finished personnel.
5. The command task matching method according to claim 4, wherein the determining a comprehensive evaluation value of each historical command task according to the standardized matching degree and the number of the completed persons specifically comprises:
according to the formula
Determining a comprehensive evaluation value of each historical command task; wherein the content of the first and second substances,W i is as followsiThe comprehensive evaluation value of each historical command task;Y i is as followsiThe standardized matching degree of each historical command task;S i is as followsiThe number of persons completing each historical command task.
6. A system for matching command tasks, comprising:
the name acquisition module is used for acquiring the name of the command task to be formulated;
the retrieval module is used for retrieving the names of the command tasks to be formulated based on a database to obtain a plurality of historical command tasks matched with the names of the command tasks to be formulated; the database comprises historical command tasks;
the matching degree determining module is used for determining the matching degree based on the name of the command task to be formulated and the name of the historical command task;
the comprehensive evaluation value determining module is used for determining the comprehensive evaluation value of the historical command task according to the matching degree and the number of the finished personnel of the historical command task corresponding to the matching degree;
and the task formulation module is used for formulating a command task according to the comprehensive evaluation value.
7. The system for matching command tasks according to claim 6, wherein the retrieval module specifically comprises:
the keyword acquisition unit is used for acquiring keywords of the name of the command task to be formulated;
and the retrieval unit is used for determining a plurality of historical command tasks matched with the names of the command tasks to be formulated in the database by utilizing a keyword retrieval algorithm according to the keywords.
8. The system for matching command tasks according to claim 6, wherein the matching degree determination module specifically comprises:
the semantic similarity determining unit is used for determining the semantic similarity between the name of the command task to be formulated and the name of each historical command task by utilizing a semantic similarity algorithm; and taking the semantic similarity as the matching degree of the name of each historical command task and the name of the command task to be formulated.
9. The system for matching command tasks according to claim 6, wherein the overall evaluation value determining module specifically comprises:
the normalization processing unit is used for performing normalization processing on the matching degree to obtain a normalized matching degree;
and the comprehensive evaluation value determining unit is used for determining the comprehensive evaluation value of each history commanding task according to the standardized matching degree and the number of the finished personnel.
10. The system for matching a command task according to claim 9, wherein the comprehensive evaluation value determining unit specifically includes:
a calculation subunit for calculating according to a formula
Determining a comprehensive evaluation value of each historical command task; wherein the content of the first and second substances,Wiis as followsiThe comprehensive evaluation value of each historical command task;Yiis as followsiThe standardized matching degree of each historical command task;Siis as followsiThe number of persons completing each historical command task.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111557714.9A CN113961726B (en) | 2021-12-20 | 2021-12-20 | Command task matching method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111557714.9A CN113961726B (en) | 2021-12-20 | 2021-12-20 | Command task matching method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113961726A CN113961726A (en) | 2022-01-21 |
| CN113961726B true CN113961726B (en) | 2022-03-01 |
Family
ID=79473301
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111557714.9A Active CN113961726B (en) | 2021-12-20 | 2021-12-20 | Command task matching method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113961726B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101847228A (en) * | 2010-03-29 | 2010-09-29 | 清华大学 | Workflow static planning method based on process mode |
| US7885844B1 (en) * | 2004-11-16 | 2011-02-08 | Amazon Technologies, Inc. | Automatically generating task recommendations for human task performers |
| CN102724272A (en) * | 2011-12-30 | 2012-10-10 | 新奥特（北京）视频技术有限公司 | Backup method of television service publishing data |
| CN102810098A (en) * | 2011-06-02 | 2012-12-05 | 腾讯科技（深圳）有限公司 | User satisfaction analyzing method and device |
| CN105069010A (en) * | 2015-07-07 | 2015-11-18 | 西安电子科技大学 | Resource polymerization method based on Agent |
| CN106485616A (en) * | 2016-09-28 | 2017-03-08 | 杭州电子科技大学 | A kind of adaptive mobile network's teaching hierarchy model and system |
| CN107909238A (en) * | 2017-10-09 | 2018-04-13 | 中国电子科技集团公司第二十八研究所 | A kind of city collaboration processing and interlinked command system and command hall |
| CN108734405A (en) * | 2018-05-24 | 2018-11-02 | 国信优易数据有限公司 | A kind of data value Evaluation Platform and method |
| CN110264039A (en) * | 2019-05-22 | 2019-09-20 | 深圳壹账通智能科技有限公司 | A kind of generation method and equipment of working report |
| CN110458410A (en) * | 2019-07-15 | 2019-11-15 | 联动优势科技有限公司 | A kind of method and apparatus of task distribution |
| CN111680085A (en) * | 2020-05-07 | 2020-09-18 | 北京三快在线科技有限公司 | Data processing task analysis method and device, electronic equipment and readable storage medium |
| CN112579273A (en) * | 2020-12-15 | 2021-03-30 | 京东数字科技控股股份有限公司 | Task scheduling method and device and computer readable storage medium |
| CN112633857A (en) * | 2021-01-04 | 2021-04-09 | 广联达科技股份有限公司 | Construction progress recommendation method and device, computer equipment and readable storage medium |
| CN113065780A (en) * | 2021-04-09 | 2021-07-02 | 平安国际智慧城市科技股份有限公司 | Task allocation method, device, storage medium and computer equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9171232B2 (en) * | 2012-12-18 | 2015-10-27 | Xerox Corporation | Method and system for a selection of a solution technique for a task |
-
2021
- 2021-12-20 CN CN202111557714.9A patent/CN113961726B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7885844B1 (en) * | 2004-11-16 | 2011-02-08 | Amazon Technologies, Inc. | Automatically generating task recommendations for human task performers |
| CN101847228A (en) * | 2010-03-29 | 2010-09-29 | 清华大学 | Workflow static planning method based on process mode |
| CN102810098A (en) * | 2011-06-02 | 2012-12-05 | 腾讯科技（深圳）有限公司 | User satisfaction analyzing method and device |
| CN102724272A (en) * | 2011-12-30 | 2012-10-10 | 新奥特（北京）视频技术有限公司 | Backup method of television service publishing data |
| CN105069010A (en) * | 2015-07-07 | 2015-11-18 | 西安电子科技大学 | Resource polymerization method based on Agent |
| CN106485616A (en) * | 2016-09-28 | 2017-03-08 | 杭州电子科技大学 | A kind of adaptive mobile network's teaching hierarchy model and system |
| CN107909238A (en) * | 2017-10-09 | 2018-04-13 | 中国电子科技集团公司第二十八研究所 | A kind of city collaboration processing and interlinked command system and command hall |
| CN108734405A (en) * | 2018-05-24 | 2018-11-02 | 国信优易数据有限公司 | A kind of data value Evaluation Platform and method |
| CN110264039A (en) * | 2019-05-22 | 2019-09-20 | 深圳壹账通智能科技有限公司 | A kind of generation method and equipment of working report |
| CN110458410A (en) * | 2019-07-15 | 2019-11-15 | 联动优势科技有限公司 | A kind of method and apparatus of task distribution |
| CN111680085A (en) * | 2020-05-07 | 2020-09-18 | 北京三快在线科技有限公司 | Data processing task analysis method and device, electronic equipment and readable storage medium |
| CN112579273A (en) * | 2020-12-15 | 2021-03-30 | 京东数字科技控股股份有限公司 | Task scheduling method and device and computer readable storage medium |
| CN112633857A (en) * | 2021-01-04 | 2021-04-09 | 广联达科技股份有限公司 | Construction progress recommendation method and device, computer equipment and readable storage medium |
| CN113065780A (en) * | 2021-04-09 | 2021-07-02 | 平安国际智慧城市科技股份有限公司 | Task allocation method, device, storage medium and computer equipment |
Non-Patent Citations (4)
| Title |
|---|
| A mission-impact-based approach to INFOSEC alarm correlation;Porras P A 等;《International Workshop on Recent Advances in Intrusion Detection》;20021010;第95-114页 * |
| 一种基于任务匹配的联盟生成策略;蒋建国 等;《系统工程理论与实践》;20070903;第27卷(第7期);第85-91页 * |
| 基于聚类分群与模板匹配的态势估计方法研究;吉祥;《中国优秀博硕士学位论文全文数据库(硕士)信息科技辑》;20190115(第1期);第I138-1967页 * |
| 战术信息分发管理原型系统;陈洁 等;《计算机工程》;20091115;第35卷(第21期);第270-273+276页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113961726A (en) | 2022-01-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106991092B (en) | Method and equipment for mining similar referee documents based on big data | |
| CN111611458B (en) | Method for realizing system data architecture carding based on metadata and data analysis technology in big data processing | |
| US20140317001A1 (en) | Methods for evaluating term support in patent-related documents | |
| US20080228752A1 (en) | Technical correlation analysis method for evaluating patents | |
| CN108334610A (en) | A kind of newsletter archive sorting technique, device and server | |
| US20110082803A1 (en) | Business flow retrieval system, business flow retrieval method and business flow retrieval program | |
| US20110191335A1 (en) | Method and system for conducting legal research using clustering analytics | |
| CN110569273A (en) | Patent retrieval system and method based on relevance sorting | |
| CN107577744A (en) | Nonstandard Address automatic matching model, matching process and method for establishing model | |
| US20090024591A1 (en) | Device, method and program for producing related words dictionary, and content search device | |
| JP2019086940A (en) | Relevant score calculating system, method and program | |
| CN114491081A (en) | Electric power data tracing method and system based on data blood relationship graph | |
| CN113961726B (en) | Command task matching method and system | |
| CN116166717B (en) | Artificial intelligence information extraction method applied to resume | |
| CN109918420B (en) | Competitor recommendation method and server | |
| CN112069833A (en) | Log analysis method, log analysis device and electronic equipment | |
| CN116467286A (en) | Building engineering cost consultation database establishing method and system | |
| JP4059970B2 (en) | Information source recommendation device | |
| CN108710620B (en) | Book recommendation method based on k-nearest neighbor algorithm of user | |
| EP4359958A1 (en) | A system and method for examining relevancy of documents | |
| CN111061771A (en) | Big data information acquisition and transmission system | |
| CN110727792A (en) | Method for constructing judicial judgment rule database, database and query method | |
| CN113656658B (en) | Fault cause determining method, device, equipment and storage medium | |
| KR20150096848A (en) | Apparatus for searching data using index and method for using the apparatus | |
| CN100481071C (en) | Portable database search proxy processing system and correcting method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |