CN113779761B - Crowd air defense organization data analysis system and method - Google Patents
Crowd air defense organization data analysis system and method Download PDFInfo
- Publication number
- CN113779761B CN113779761B CN202110912626.XA CN202110912626A CN113779761B CN 113779761 B CN113779761 B CN 113779761B CN 202110912626 A CN202110912626 A CN 202110912626A CN 113779761 B CN113779761 B CN 113779761B
- Authority
- CN
- China
- Prior art keywords
- data
- air defense
- professional
- population
- crowd
- 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
- 230000007123 defense Effects 0.000 title claims abstract description 137
- 230000008520 organization Effects 0.000 title claims abstract description 103
- 238000007405 data analysis Methods 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims abstract description 63
- 238000004458 analytical method Methods 0.000 claims abstract description 57
- 238000010276 construction Methods 0.000 claims abstract description 32
- 238000013210 evaluation model Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims abstract description 14
- 238000004140 cleaning Methods 0.000 claims abstract description 3
- 238000013499 data model Methods 0.000 claims description 13
- 230000009471 action Effects 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 108010028930 invariant chain Proteins 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 230000002194 synthesizing effect Effects 0.000 claims description 3
- 230000008094 contradictory effect Effects 0.000 claims description 2
- 238000007726 management method Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims 1
- 230000008521 reorganization Effects 0.000 abstract 1
- 238000012549 training Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a crowd air defense organization data analysis system and method, comprising the following steps: selecting the check index content of the crowd air defense organization to be evaluated; matching corresponding crowd air defense organization service data; constructing a corresponding evaluation model according to the difference of the assessment index items; based on the constructed evaluation model, carrying out synthetic calculation to obtain an evaluation value by loading required public air defense organization service resource data; and comparing the obtained evaluation value with the content of the public air defense organization assessment index to generate a comprehensive evaluation result. The invention can provide collection and receiving of the business data of the crowd air defense organization, and can obtain effective data through data cleaning, reorganization and analysis, and construct an evaluation model according to the evaluation requirement of the crowd air defense organization, and obtain an evaluation result through calculation, thereby solving the problems of single construction and evaluation mode of the current crowd air defense organization and unsound evaluation system.
Description
Technical Field
The invention belongs to the technical field of civil air defense data analysis, and particularly relates to a system and a method for analyzing public air defense organization data based on a specific service model.
Background
In the annual training assessment task of the civil air defense organization, the annual group training condition, the team assessment condition, the construction condition, the expansion condition and the like of the crowd air defense organization are required to be assessed so as to summarize the problems and the defects of the annual crowd air defense organization in work and training and provide support for better improving the capacity of the crowd air defense organization.
How to objectively and accurately evaluate the construction condition and training effect of the crowd air defense organization, the business data of different fields of the crowd air defense organization needs to be collected and received, meanwhile, a reasonable evaluation model and an index system are built according to different configurations of evaluation and assessment contents, a proper evaluation model is selected according to assessment indexes, and a scientific and reasonable evaluation algorithm is adopted to obtain an evaluation result.
At present, all levels of civil air defense units do not acquire special crowd air defense organization data, and meanwhile, a special crowd air defense organization assessment system does not exist, so that the mining and utilization of crowd air defense organization data are still in a blank stage, and no effective means exists how to construct an analysis model according to the crowd air defense organization data and carry out scientific and reasonable assessment according to assessment indexes.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a system and a method for analyzing the data of the crowd air defense organization, which can provide the collection and the reception of the business data of the crowd air defense organization, clean and integrate the data, analyze the effective data, construct an evaluation model according to the evaluation requirement of the crowd air defense organization, calculate to obtain an evaluation result, and solve the problems of single construction and evaluation mode of the current crowd air defense organization and unhealthy evaluation system.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the invention relates to a crowd air defense organization data analysis system, which comprises: the system comprises a data acquisition unit, a data analysis unit, a data model construction unit and a data comprehensive evaluation unit;
the data acquisition unit is used for acquiring and receiving the public air defense organization service data;
the data analysis unit is used for carrying out standardization and unification treatment on the collected and received crowd air defense organization data, classifying the data according to different fields of the crowd air defense organization, and sending the structured crowd air defense organization data of different categories obtained after the analysis treatment to the data model construction unit;
the data model construction unit is used for carrying out analysis model construction setting on the data analyzed by the data analysis unit according to the evaluation requirement, and sending the constructed and set mass air defense organization business data analysis model to the data comprehensive evaluation unit;
the data comprehensive evaluation unit selects corresponding public air defense organization business data analysis models for different public air defense organizations according to the assessment and evaluation indexes set by the public air defense organizations, and generates evaluation results of the public air defense organization business data according to the results analyzed by the data analysis unit.
Further, the data acquisition unit establishes a data acquisition mode according to the data standard of the public air defense organization, and the data acquisition mode comprises a data acquisition table and an information system data acquisition mode.
Further, the data analysis unit cleans, compiles and analyzes the data acquired and received by the data acquisition unit, and performs classification management on the data;
the data cleaning, structuring and analyzing comprises the following steps: checking data consistency, processing invalid values and missing values, classifying and summarizing data and performing data statistical analysis;
checking data consistency refers to checking whether collected data is satisfactory or not according to the value range and the correlation of the crowd air defense organization data, and if the data exceeding the normal range, unreasonable logic or contradictory data is found to be the consistency check failed;
the processing of invalid values and missing values refers to processing the problems that the entry of crowd air defense organization data is not standard, the filling errors and the filling items are not filled in possibly exist in the acquisition process, and aiming at the problems of the invalid values and the missing values, the filling is re-checked by data acquisition personnel to ensure the authenticity, the effectiveness and the integrity of the data;
the data classification and summarization means that collected data of the crowd air defense organization are classified according to the class of the crowd air defense organization, so that the data of the crowd air defense organization is physicochemical and systemized;
the data statistical analysis refers to analysis according to different classification of the crowd air defense organization data, and comprises civil air defense professional team data analysis, civil air defense volunteer team data analysis and expert team data analysis.
Further, the data model construction unit constructs a crowd air defense organization business data analysis model by defining different analysis requirements, wherein the data model construction unit comprises a population number analysis model and an expanded population number analysis model;
the building of the people number analysis model comprises the following steps: urban total population number Ci, urban population group professional team number proportion [ CPIMin, CPIMax ], professional team occupation ratio number Ti, in-formation professional team number Mi, in-formation professional team population number Pi, required professional team population number Si, and group number analysis result RZ;
the city total population number Ci refers to the sum of the current selected city resident population and the floating population;
the urban population builds the number proportion of professional teams [ CPIMin, CPIMax ] according to different protection levels of the current city, the number proportion of the built professional teams is different; the construction proportion of the protection area in the key city is 2-3 per mill; the construction proportion of the protection area in the class II key cities is 1-2 permillage; three types of important cities, wherein the construction proportion of the protection area is 1 per mill;
the professional teams occupy the quantity Ti which refers to the situation of the required professional teams occupying the quantity according to different protection levels in the current city;
the number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the required professional team population number Si refers to the required professional team population number calculated according to the current urban general population, the professional team building proportion and the professional team occupation ratio;
the analysis result RZ of the number of the constructors refers to the result obtained by analyzing and comparing the number of the professional team population according to the requirement with the current number of the professional team population.
Further, the expanded population analysis model includes: the method comprises the steps of programming the number Mi of professional teams, the number Pi of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the professional teams, the number Hi of the reserve strength population, the number YKi of the professional teams and the analysis result RK of the number of the expansion teams;
the number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the expanded professional team population number Ki refers to the sum of the population numbers of the professional teams which are expanded according to the requirements of civil air defense actions at present;
the fight time expanding proportion KPi refers to the proportion quantity which is required to be expanded by the fight time civil air defense professional team according to the requirements of the civil air defense action scheme in each place;
the population number XKi of the professional teams to be expanded refers to the population number synthesis of the professional teams to be expanded, which is calculated based on the population number of the professional teams in the current city and the expansion proportion in the war;
the backup strength population quantity Hi refers to the sum of the population quantities of backup strengths existing at present;
the number YKi of the professional teams to be expanded refers to the number of the professional teams to be expanded at present and the number of the professional teams to be expanded at present, and the number of the professional teams to be expanded at last is calculated;
the expanded population analysis result RK is calculated according to the population number of professional teams to be expanded and the population number of backup forces to obtain a final expanded population analysis result.
Further, the data comprehensive evaluation unit selects to load corresponding evaluation data and an evaluation model based on specific evaluation requirements, and an evaluation result is obtained through calculation.
Further, the evaluation result refers to the construction number analysis result RZ, and the calculation method comprises the following steps: RZ=Si-Pi, if RZ >0, the number of people is matched with the current people's air defense movement requirements; if RZ is less than 0, the number of people is not in line with the current demand of people for air defense, and expansion is needed.
Further, the evaluation result refers to an expanded population analysis result RK, and the calculation method comprises the following steps: RK=Hi-YKi, if RK is more than 0, the number of people meets the demand of civil air defense actions at present, and expanding actions are not needed; if RK is less than 0, the number of people does not meet the demand of people for air defense, and expansion is needed.
The invention relates to a crowd air defense organization data analysis method, which comprises the following steps:
1) Selecting the check index content of the crowd air defense organization to be evaluated;
2) Matching corresponding crowd air defense organization service data;
3) Constructing a corresponding evaluation model according to the difference of the assessment index items;
4) Based on the constructed evaluation model, carrying out synthetic calculation to obtain an evaluation value by loading required public air defense organization service resource data;
5) And comparing the obtained evaluation value with the content of the public air defense organization assessment index to generate a comprehensive evaluation result.
Further, the step 1) specifically includes: according to the examination requirements of the public air defense organization, whether the number of the expanded people of the public air defense organization in the current year meets the requirement of the expanded people of the public air defense organization in the set area is selected.
Further, the step 2) specifically includes: the method comprises the steps of selecting and matching corresponding crowd air defense organization service data according to the requirement of the expanded number of people evaluation indexes, wherein the crowd data comprises the number Mi of the professional teams, the number Pi of the population of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the population of the professional teams to be expanded, the number Hi of the spare force population and the number YKi of the population of the professional teams to be expanded.
Further, the step 3) specifically includes: and constructing an expanded number analysis model for the expanded number of the crowd air defense organization according to the checked index.
Further, the step 4) specifically includes: and (3) synthesizing and calculating an expanded number analysis result RK by loading the business data in the step (2) according to the checked indexes and the constructed expanded number analysis model.
Further, the step 5) specifically includes: and comparing the examination index content of the annual mass air defense organization with the expanded number analysis result RK to obtain a conclusion whether the expanded number of the annual mass air defense organization meets the index requirement.
The invention has the beneficial effects that:
the invention provides a method for analyzing the data of the crowd air defense organization based on a specific model, which can construct a corresponding evaluation model according to different analysis requirements to calculate and obtain a result, provide scientific basis for supervision and inspection of the crowd air defense organization construction and evaluation of the crowd air defense department, supervise and urge continuous improvement and perfection of the crowd air defense organization construction work, and improve the ordinary service capacity and the war time instant capacity of the crowd air defense organization.
Drawings
Fig. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The invention will be further described with reference to examples and drawings, to which reference is made, but which are not intended to limit the scope of the invention.
Referring to fig. 1, a crowd air defense organization data analysis system of the present invention includes: the system comprises a data acquisition unit, a data analysis unit, a data model construction unit and a data comprehensive evaluation unit;
the data acquisition unit is used for acquiring and receiving the public air defense organization service data according to the public air defense organization data standard; the method is characterized in that a data acquisition mode is established according to the data standard of the public air defense organization, and the data acquisition mode comprises a data acquisition table and an information system data acquisition mode.
The data analysis unit is used for carrying out standardization and unification treatment on the collected and received crowd air defense organization data, classifying the data according to different fields of the crowd air defense organization, and sending the structured crowd air defense organization data of different categories obtained after the analysis treatment to the data model construction unit;
the data model construction unit is used for carrying out analysis model construction setting on the data analyzed by the data analysis unit according to the evaluation requirement, and sending the constructed and set mass air defense organization business data analysis model to the data comprehensive evaluation unit;
the data model construction unit constructs a mass air defense organization business data analysis model by defining different analysis requirements, and comprises a population number analysis model and an expanded population number analysis model.
The building of the people number analysis model comprises the following steps: urban total population number Ci, urban population group professional team number proportion [ CPIMin, CPIMax ], professional team occupation ratio number Ti, in-formation professional team number Mi, in-formation professional team population number Pi, required professional team population number Si, and group number analysis result RZ;
the city total population number Ci refers to the sum of the current selected city resident population and the floating population;
the urban population builds the number proportion of professional teams [ CPIMin, CPIMax ] according to different protection levels of the current city, the number proportion of the built professional teams is different; the construction proportion of the protection area in the key city is 2-3 per mill; the construction proportion of the protection area in the class II key cities is 1-2 permillage; three types of important cities, wherein the construction proportion of the protection area is 1 per mill;
the professional team duty ratio number Ti refers to the situation of the required professional team duty ratio number according to different protection levels in the current city.
The number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the required professional team population number Si refers to the required professional team population number calculated according to the current urban general population, the professional team building proportion and the professional team occupation ratio;
the analysis result RZ of the number of the constructors refers to the result obtained by analyzing and comparing the number of the professional team population according to the requirement with the current number of the professional team population.
The expanded population analysis model comprises: the method comprises the steps of programming the number Mi of professional teams, the number Pi of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the professional teams, the number Hi of the reserve strength population, the number YKi of the professional teams and the analysis result RK of the number of the expansion teams;
the number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the expanded professional team population number Ki refers to the sum of the population numbers of the professional teams which are expanded according to the requirements of civil air defense actions at present;
the fight time expanding proportion KPi refers to the proportion quantity which is required to be expanded by the fight time civil air defense professional team according to the requirements of the civil air defense action scheme in each place;
the population number XKi of the professional teams to be expanded refers to the population number synthesis of the professional teams to be expanded, which is calculated based on the population number of the professional teams in the current city and the expansion proportion in the war;
the backup strength population quantity Hi refers to the sum of the population quantities of backup strengths existing at present;
the number YKi of the professional teams to be expanded refers to the number of the professional teams to be expanded at present and the number of the professional teams to be expanded at present, and the number of the professional teams to be expanded at last is calculated;
the expanded population analysis result RK is calculated according to the population number of professional teams to be expanded and the population number of backup forces to obtain a final expanded population analysis result.
The data comprehensive evaluation unit selects corresponding crowd air defense organization business data analysis models for different crowd air defense organizations according to the assessment and evaluation indexes set by the crowd air defense organizations, and generates evaluation results of the crowd air defense organization business data according to the results analyzed by the data analysis unit;
the data comprehensive evaluation unit selects to load corresponding evaluation data and an evaluation model based on specific evaluation requirements, and obtains an evaluation result through calculation.
The evaluation result refers to the analysis result RZ of the number of people, and the calculation method comprises the following steps: RZ=Si-Pi, if RZ >0, the number of people is matched with the current people's air defense movement requirements; if RZ is less than 0, the number of people is not in line with the current demand of people for air defense, and expansion is needed.
The evaluation result refers to an expanded population number analysis result RK, and the calculation method comprises the following steps: RK=Hi-YKi, if RK is more than 0, the number of people meets the demand of civil air defense actions at present, and expanding actions are not needed; if RK is less than 0, the number of people does not meet the demand of people for air defense, and expansion is needed.
The invention relates to a crowd air defense organization data analysis method, which comprises the following steps:
1) Selecting the check index content of the crowd air defense organization to be evaluated;
according to the examination requirements of the public air defense organization, whether the number of the expanded people of the public air defense organization in the current year meets the requirement of the expanded people of the public air defense organization in the set area is selected.
2) Matching corresponding crowd air defense organization service data;
the method comprises the steps of selecting and matching corresponding crowd air defense organization service data according to the requirement of the expanded number of people evaluation indexes, wherein the crowd data comprises the number Mi of the professional teams, the number Pi of the population of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the population of the professional teams to be expanded, the number Hi of the spare force population and the number YKi of the population of the professional teams to be expanded.
3) Constructing a corresponding evaluation model according to the difference of the assessment index items;
and constructing an expanded number analysis model for the expanded number of the crowd air defense organization according to the checked index.
4) Based on the constructed evaluation model, carrying out synthetic calculation to obtain an evaluation value by loading required public air defense organization service resource data;
the step 4) specifically comprises the following steps: and (3) synthesizing and calculating an expanded number analysis result RK by loading the business data in the step (2) according to the checked indexes and the constructed expanded number analysis model.
5) Comparing the obtained evaluation value with the content of the public air defense organization assessment index to generate a comprehensive evaluation result;
the step 5) specifically comprises the following steps: and comparing the examination index content of the annual mass air defense organization with the expanded number analysis result RK to obtain a conclusion whether the expanded number of the annual mass air defense organization meets the index requirement.
The present invention has been described in terms of the preferred embodiments thereof, and it should be understood by those skilled in the art that various modifications can be made without departing from the principles of the invention, and such modifications should also be considered as being within the scope of the invention.
Claims (6)
1. A crowd air defense organization data analysis system, comprising: the system comprises a data acquisition unit, a data analysis unit, a data model construction unit and a data comprehensive evaluation unit;
the data acquisition unit is used for acquiring and receiving the public air defense organization service data;
the data analysis unit is used for carrying out standardization and unification treatment on the collected and received crowd air defense organization data, classifying the data according to different fields of the crowd air defense organization, and sending the structured crowd air defense organization data of different categories obtained after the analysis treatment to the data model construction unit;
the data model construction unit is used for carrying out analysis model construction setting on the data analyzed by the data analysis unit according to the evaluation requirement, and sending the constructed and set mass air defense organization business data analysis model to the data comprehensive evaluation unit;
the data comprehensive evaluation unit selects corresponding crowd air defense organization business data analysis models for different crowd air defense organizations according to the assessment and evaluation indexes set by the crowd air defense organizations, and generates evaluation results of the crowd air defense organization business data according to the results analyzed by the data analysis unit;
the data model construction unit constructs a mass air defense organization business data analysis model by defining different analysis requirements, and comprises a population number analysis model and an expanded population number analysis model;
the building of the people number analysis model comprises the following steps: urban total population number Ci, urban population group professional team number proportion [ CPIMin, CPIMax ], professional team occupation ratio number Ti, in-formation professional team number Mi, in-formation professional team population number Pi, required professional team population number Si, and group number analysis result RZ;
the city total population number Ci refers to the sum of the current selected city resident population and the floating population;
the urban population builds the number proportion of professional teams [ CPIMin, CPIMax ] according to different protection levels of the current city, the number proportion of the built professional teams is different; the construction proportion of the protection area in the key city is 2-3 per mill; the construction proportion of the protection area in the class II key cities is 1-2 permillage; three types of important cities, wherein the construction proportion of the protection area is 1 per mill;
the professional teams occupy the quantity Ti which refers to the situation of the required professional teams occupying the quantity according to different protection levels in the current city;
the number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the required professional team population number Si refers to the required professional team population number calculated according to the current urban general population, the professional team building proportion and the professional team occupation ratio;
the building number analysis result RZ refers to a result obtained by analyzing and comparing the number of the professional team population according to the requirement with the current number of the professional team population;
the expanded population analysis model comprises: the method comprises the steps of programming the number Mi of professional teams, the number Pi of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the professional teams, the number Hi of the reserve strength population, the number YKi of the professional teams and the analysis result RK of the number of the expansion teams;
the number Mi of the professional teams is the number of the professional teams currently in the current city;
the number Pi of the professional teams currently being compiled refers to the sum of the numbers Pi of the professional teams currently being compiled in the current city;
the expanded professional team population number Ki refers to the sum of the population numbers of the professional teams which are expanded according to the requirements of civil air defense actions at present;
the fight time expanding proportion KPi refers to the proportion quantity which is required to be expanded by the fight time civil air defense professional team according to the requirements of the civil air defense action scheme in each place;
the population number XKi of the professional teams to be expanded refers to the population number synthesis of the professional teams to be expanded, which is calculated based on the population number of the professional teams in the current city and the expansion proportion in the war;
the backup strength population quantity Hi refers to the sum of the population quantities of backup strengths existing at present;
the number YKi of the professional teams to be expanded refers to the number of the professional teams to be expanded at present and the number of the professional teams to be expanded at present, and the number of the professional teams to be expanded at last is calculated;
the expanded number analysis result RK is calculated according to the number of professional teams to be expanded and the number of backup strength population to obtain a final expanded number analysis result;
the data comprehensive evaluation unit selects to load corresponding evaluation data and an evaluation model based on specific evaluation requirements, and obtains an evaluation result through calculation;
the evaluation result refers to the analysis result RZ of the number of people, and the calculation method comprises the following steps: RZ=Si-Pi, if RZ >0, the number of people is matched with the current people's air defense movement requirements; if RZ is less than 0, the number of people is not in line with the current demand of people for air defense, and expansion is needed.
2. The system according to claim 1, wherein the data analysis unit cleans, compiles and analyzes the data collected and received by the data collection unit, and performs classification management on the data;
the data cleaning, structuring and analyzing comprises the following steps: checking data consistency, processing invalid values and missing values, classifying and summarizing data and performing data statistical analysis;
checking data consistency refers to checking whether collected data is satisfactory or not according to the value range and the correlation of the crowd air defense organization data, and if the data exceeding the normal range, unreasonable logic or contradictory data is found to be the consistency check failed;
the processing of invalid values and missing values refers to processing the problems that the entry of crowd air defense organization data is not standard, the filling errors and the filling items are not filled in possibly exist in the acquisition process, and aiming at the problems of the invalid values and the missing values, the filling is re-checked by data acquisition personnel to ensure the authenticity, the effectiveness and the integrity of the data;
the data classification and summarization means that collected data of the crowd air defense organization are classified according to the class of the crowd air defense organization, so that the data of the crowd air defense organization is physicochemical and systemized;
the data statistical analysis refers to analysis according to different classification of the crowd air defense organization data, and comprises civil air defense professional team data analysis, civil air defense volunteer team data analysis and expert team data analysis.
3. The system according to claim 1, wherein the evaluation result is an expanded number analysis result RK, and the calculation method is as follows: RK=Hi-YKi, if RK is more than 0, the number of people meets the demand of civil air defense actions at present, and expanding actions are not needed; if RK is less than 0, the number of people does not meet the demand of people for air defense, and expansion is needed.
4. A method for analyzing crowd air defense organization data based on the system of claim 1, characterized by the steps of:
1) Selecting the check index content of the crowd air defense organization to be evaluated;
2) Matching corresponding crowd air defense organization service data;
3) Constructing a corresponding evaluation model according to the difference of the assessment index items;
4) Based on the constructed evaluation model, carrying out synthetic calculation to obtain an evaluation value by loading required public air defense organization service resource data;
5) And comparing the obtained evaluation value with the content of the public air defense organization assessment index to generate a comprehensive evaluation result.
5. The method for analyzing the data of the crowd air defense organization according to claim 4, wherein the step 2) specifically comprises: the method comprises the steps of selecting and matching corresponding crowd air defense organization service data according to the requirement of the expanded number of people evaluation indexes, wherein the crowd data comprises the number Mi of the professional teams, the number Pi of the population of the professional teams, the number Ki of the expanded professional teams, the expansion proportion KPi in war, the number XKi of the population of the professional teams to be expanded, the number Hi of the spare force population and the number YKi of the population of the professional teams to be expanded.
6. The method for analyzing the data of the crowd air defense organization according to claim 5, wherein the step 4) specifically comprises: and (3) synthesizing and calculating an expanded number analysis result RK by loading the business data in the step (2) according to the checked indexes and the constructed expanded number analysis model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110912626.XA CN113779761B (en) | 2021-08-10 | 2021-08-10 | Crowd air defense organization data analysis system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110912626.XA CN113779761B (en) | 2021-08-10 | 2021-08-10 | Crowd air defense organization data analysis system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113779761A CN113779761A (en) | 2021-12-10 |
| CN113779761B true CN113779761B (en) | 2023-11-24 |
Family
ID=78837209
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110912626.XA Active CN113779761B (en) | 2021-08-10 | 2021-08-10 | Crowd air defense organization data analysis system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113779761B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20010044582A (en) * | 2001-03-08 | 2001-06-05 | 김준호 | Business model system offering on-line and off-line military management service |
| CN104504453A (en) * | 2014-11-20 | 2015-04-08 | 昆明理工大学 | Optimal scheduling method for multi-objective optimization military transportation process |
| CN107545349A (en) * | 2016-06-28 | 2018-01-05 | 国网天津市电力公司 | A kind of Data Quality Analysis evaluation model towards electric power big data |
| RU179781U1 (en) * | 2017-10-27 | 2018-05-24 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Михайловская военная артиллерийская академия" Министерства обороны Российской Федерации | AUTOMATED CALCULATION AND INFORMATION MODELING COMPLEX OF THE ARTILLERY-TECHNICAL SUPPORT OF MISSILE TROOPS AND ARTILLERY |
| CN109190948A (en) * | 2018-08-20 | 2019-01-11 | 北京航空航天大学 | A kind of association analysis method of large aerospace hinge operation and urban traffic blocking |
| CN109739922A (en) * | 2019-01-10 | 2019-05-10 | 江苏徐工信息技术股份有限公司 | A kind of industrial data intelligent analysis system |
| CN111210115A (en) * | 2019-12-23 | 2020-05-29 | 浙江中控技术股份有限公司 | Safety index early warning analysis method for specific area |
| CN112685514A (en) * | 2021-01-08 | 2021-04-20 | 北京云桥智联科技有限公司 | AI intelligent customer value management platform |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040030570A1 (en) * | 2002-04-22 | 2004-02-12 | Neal Solomon | System, methods and apparatus for leader-follower model of mobile robotic system aggregation |
-
2021
- 2021-08-10 CN CN202110912626.XA patent/CN113779761B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20010044582A (en) * | 2001-03-08 | 2001-06-05 | 김준호 | Business model system offering on-line and off-line military management service |
| CN104504453A (en) * | 2014-11-20 | 2015-04-08 | 昆明理工大学 | Optimal scheduling method for multi-objective optimization military transportation process |
| CN107545349A (en) * | 2016-06-28 | 2018-01-05 | 国网天津市电力公司 | A kind of Data Quality Analysis evaluation model towards electric power big data |
| RU179781U1 (en) * | 2017-10-27 | 2018-05-24 | Федеральное государственное казенное военное образовательное учреждение высшего образования "Михайловская военная артиллерийская академия" Министерства обороны Российской Федерации | AUTOMATED CALCULATION AND INFORMATION MODELING COMPLEX OF THE ARTILLERY-TECHNICAL SUPPORT OF MISSILE TROOPS AND ARTILLERY |
| CN109190948A (en) * | 2018-08-20 | 2019-01-11 | 北京航空航天大学 | A kind of association analysis method of large aerospace hinge operation and urban traffic blocking |
| CN109739922A (en) * | 2019-01-10 | 2019-05-10 | 江苏徐工信息技术股份有限公司 | A kind of industrial data intelligent analysis system |
| CN111210115A (en) * | 2019-12-23 | 2020-05-29 | 浙江中控技术股份有限公司 | Safety index early warning analysis method for specific area |
| CN112685514A (en) * | 2021-01-08 | 2021-04-20 | 北京云桥智联科技有限公司 | AI intelligent customer value management platform |
Non-Patent Citations (1)
| Title |
|---|
| 人防行动方案推演评估系统设计研究;张叶 等;《信息技术与信息化》;95-98 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113779761A (en) | 2021-12-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | Do built environment effects on travel behavior differ between household members? A case study of Nanjing, China | |
| Achillas et al. | Prioritize strategies to confront environmental deterioration in urban areas: Multicriteria assessment of public opinion and experts’ views | |
| Tomao et al. | Can composite indices explain multidimensionality of tree risk assessment? A case study in an historical monumental complex | |
| CN112948595B (en) | Urban group running state knowledge graph construction method, system and equipment | |
| Ramachandran et al. | NCDOT quality control methods for weigh-in-motion data | |
| CN106127392A (en) | Developer's contribution analysis method based on multiple aspect entity sensor model | |
| CN113779761B (en) | Crowd air defense organization data analysis system and method | |
| Salling | A new approach to feasibility risk assessment within transport infrastructure appraisal | |
| Bouman et al. | Detecting activity patterns from smart card data | |
| CN105975640A (en) | Big data quality management and useful data mining device | |
| CN113505980A (en) | Reliability evaluation method, device and system for intelligent traffic management system | |
| CN103268391A (en) | Naive-Bayes-based adaptive lightning disaster risk estimation method | |
| Asadzadeh | Conceptualizing the concept of disaster resilience: a hybrid approach in the context of earthquake hazard | |
| CN105894325A (en) | Method for quantitatively analyzing power market index system | |
| CN106651630A (en) | Key electricity consumption industry identification method and system | |
| Huntsinger et al. | Value of life cycle in explaining trip-making behavior and improving temporal stability of trip generation models | |
| CN114240226A (en) | Safety risk index evaluation system | |
| Cziraky et al. | Covariance structure analysis of regional development data: An application to municipality development assessment | |
| Lucas Souza et al. | MUNICIPAL SOLID WASTE MANAGEMENT: ANALYSIS OF SUSTAINABILITY INDICATORS IN THE METROPOLITAN AREA OF FORTALEZA, CEARÁ. | |
| Vaisi et al. | Developing the Ecological Footprint Assessment for a University Campus, the Component-Based Method. Sustainability 2021, 13, 9928 | |
| KR20230173256A (en) | Community disaster safety diagnosis method | |
| CN109377022B (en) | Method and system for evaluating cross-regional influence of rainstorm and secondary disaster on power grid | |
| Bracewell et al. | High-Occupancy Vehicle monitoring and evaluation framework | |
| Gautam et al. | Digitalization of Government Financial Services and its Impact on Sustainable Development Goals in India | |
| Yang et al. | Estimation of Value of Travel Time Savings Using Willingness-to-Pay 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 |