CN106780235A - A kind of social security events monitoring and retroactive method - Google Patents

A kind of social security events monitoring and retroactive method Download PDF

Info

Publication number
CN106780235A
CN106780235A CN201611009081.7A CN201611009081A CN106780235A CN 106780235 A CN106780235 A CN 106780235A CN 201611009081 A CN201611009081 A CN 201611009081A CN 106780235 A CN106780235 A CN 106780235A
Authority
CN
China
Prior art keywords
index
warning
prediction
model
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611009081.7A
Other languages
Chinese (zh)
Inventor
陈杨
唐世兵
何佳
何正国
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guang'an City Chuanxing Emergency Technical Services LLC
Original Assignee
Guang'an City Chuanxing Emergency Technical Services LLC
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guang'an City Chuanxing Emergency Technical Services LLC filed Critical Guang'an City Chuanxing Emergency Technical Services LLC
Priority to CN201611009081.7A priority Critical patent/CN106780235A/en
Publication of CN106780235A publication Critical patent/CN106780235A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Abstract

The invention discloses a kind of monitoring of social security events and retroactive method, the method includes:Set up prediction and warning database, case library, prediction scheme storehouse and expert judging storehouse;The achievement data of setting burst security incident;Data to newly calling in prediction and warning database carry out model calculation, analyze and predict the tendency of social security events, and are predicted the outcome using figure shows;Tendency according to prediction social security events generates advanced warning grade, and is policymaker's provided auxiliary decision-making.The present invention can carry out big data analysis to burst Mass disturbance, serious crime and public health emergency, and early warning is modeled to the data after analysis, to reach tendency and the prediction to social public security, and abnormal index is marked and paid close attention to, early warning can be provided to decision-maker and shown and aid decision scheme.

Description

A kind of social security events monitoring and retroactive method
Technical field
The present invention relates to social public security field, particularly a kind of social security events are monitored and retroactive method.
Background technology
Social security events easily cause great negative effect to civil order and social stability, thus in time, effectively Prediction and early warning society unexpected incidents, for ensuring that social even running is of great immediate significance.Social safety with The early warning mechanism of stabilization, is to build socially harmonious inevitable requirement.
Traditional social safety analysis is the prediction that feasibility is obtained by manual analysis data, this artificial searching solution There is substantial amounts of subjective factor in certainly countermeasure and manual analysis, the early warning mechanism of its social safety that cannot function as authority is set up.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of social security events monitoring and the side of reviewing Method, the method can carry out big data analysis to burst Mass disturbance, serious crime and public health emergency, and right Data after analysis are modeled early warning, to reach tendency and the prediction to social public security, and abnormal index are carried out Mark and pay close attention to, early warning can be provided to decision-maker and shown and aid decision scheme.
The purpose of the present invention is achieved through the following technical solutions:A kind of social security events monitoring and the side of reviewing Method, some small monitoring sections are divided into by monitor area, and each monitoring section is provided with data monitoring point, and data monitoring point includes data Input system and internet detecting system, each data entry system are connected with image analysis apparatus and expert judging terminal, often Individual data control point is connected with central analysis evaluation system, and it is comprised the following steps:
A, prediction and warning database, case library, prediction scheme storehouse and expert judging storehouse are set up, prediction and warning database Direct Acquisition image Analytical equipment initial analysis judge after early warning image, and early warning image after initial analysis is judged uploads to expert judging Storehouse, being pushed to expert judging terminal carries out case judge, if expert judging meets early warning event, calls in case library, if expert Judge does not meet early warning event, then call in prediction and warning database;
B, the achievement data of setting burst security incident, the achievement data of the burst security incident include burst Mass disturbance Index, serious crime index and public health emergency index;
C, the data to newly calling in prediction and warning database carry out model calculation, analyze and predict walking for social security events Gesture, and predicted the outcome using figure shows;
D, the tendency generation advanced warning grade according to prediction social security events, and be policymaker's provided auxiliary decision-making, the auxiliary Decision-making is the most safe social security events tendency obtained by the calculation of prediction and warning model, and the burst Mass disturbance corresponding to it refers to Mark, serious crime index and public health emergency index;
E, the tendency according to the prediction social security events for having generated, review current burst Mass disturbance index, serious criminal Abnormal data in case index and public health emergency index.
Preferably, burst Mass disturbance prediction and warning includes step in detail below:
Obtain burst canopy index data;
Extraction model parameter, the model parameter includes weights, threshold values and sorting parameter, and dynamic to the model parameter foundation of acquisition Predicted to prediction and warning model, status predication Early-warning Model and linear trend and calculated;
Display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, the prediction and warning of serious crime includes step in detail below:
The achievement data of serious crime is obtained, the achievement data includes that GDP annual growths index, town population account for total population Than upper annual growth rate index, Gini coefficient index, birthrate of population index, floating population in town annual growth rate index, punishment Thing case puts on record several years growth rate and serious crime is put on record number;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, the prediction and warning of burst social hygiene event includes step in detail below:
The achievement data of burst social hygiene event is obtained, the achievement data includes network public-opinion attention rate warning index, life Necessity supply early warning index, peripheral path volume of traffic warning index, hospital admission number growth rate early warning index, public security shape Condition early warning index and social mentality's crisis alert prompting index;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, it is set in after step e, also including being marked to abnormal data and the step of emphasis is monitored.
The beneficial effects of the invention are as follows:
(1)Big data analysis can be carried out to burst Mass disturbance, serious crime and public health emergency, and to dividing Data after analysis are modeled early warning, to reach tendency and the prediction to social public security;
(2)Abnormal index is marked and paid close attention to, early warning can be provided to decision-maker and shown and aid decision scheme.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the invention.
Specific embodiment
Technical scheme is described in further detail below in conjunction with the accompanying drawings, but protection scope of the present invention is not limited to It is as described below.
Embodiment:
As shown in figure 1, a kind of social security events monitoring and retroactive method, are divided into some small monitoring sections, often by monitor area Individual monitoring section is provided with data monitoring point, and data monitoring point includes data entry system and internet detecting system, each data Input system is connected with image analysis apparatus and expert judging terminal, each data monitoring point with central analysis evaluation system phase Even, it is comprised the following steps:
A, prediction and warning database, case library, prediction scheme storehouse and expert judging storehouse are set up, prediction and warning database Direct Acquisition image Analytical equipment initial analysis judge after early warning image, and early warning image after initial analysis is judged uploads to expert judging Storehouse, being pushed to expert judging terminal carries out case judge, if expert judging meets early warning event, calls in case library, if expert Judge does not meet early warning event, then call in prediction and warning database;
B, the achievement data of setting burst security incident, the achievement data of the burst security incident include burst Mass disturbance Index, serious crime index and public health emergency index;
C, the data to newly calling in prediction and warning database carry out model calculation, analyze and predict walking for social security events Gesture, and predicted the outcome using figure shows;
D, the tendency generation advanced warning grade according to prediction social security events, and be policymaker's provided auxiliary decision-making, the auxiliary Decision-making is the most safe social security events tendency obtained by the calculation of prediction and warning model, and the burst Mass disturbance corresponding to it refers to Mark, serious crime index and public health emergency index;
E, the tendency according to the prediction social security events for having generated, review current burst Mass disturbance index, serious criminal Abnormal data in case index and public health emergency index.
Preferably, burst Mass disturbance prediction and warning includes step in detail below:
Obtain burst canopy index data;
Extraction model parameter, the model parameter includes weights, threshold values and sorting parameter, and dynamic to the model parameter foundation of acquisition Predicted to prediction and warning model, status predication Early-warning Model and linear trend and calculated;
Display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, the prediction and warning of serious crime includes step in detail below:
The achievement data of serious crime is obtained, the achievement data includes that GDP annual growths index, town population account for total population Than upper annual growth rate index, Gini coefficient index, birthrate of population index, floating population in town annual growth rate index, punishment Thing case puts on record several years growth rate and serious crime is put on record number;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, the prediction and warning of burst social hygiene event includes step in detail below:
The achievement data of burst social hygiene event is obtained, the achievement data includes network public-opinion attention rate warning index, life Necessity supply early warning index, peripheral path volume of traffic warning index, hospital admission number growth rate early warning index, public security shape Condition early warning index and social mentality's crisis alert prompting index;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
Preferably, it is set in after step e, also including being marked to abnormal data and the step of emphasis is monitored.
Embodiment described above only expresses specific embodiment of the invention, and its description is more specific and detailed, but simultaneously Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention Shield scope.

Claims (5)

1. a kind of social security events are monitored and retroactive method, it is characterised in that monitor area is divided into some small monitoring sections, Each monitoring section is provided with data monitoring point, and data monitoring point includes data entry system and internet detecting system, per number Be connected with image analysis apparatus and expert judging terminal according to input system, each data monitoring point with central analysis evaluation system It is connected, it is comprised the following steps:
A, prediction and warning database, case library, prediction scheme storehouse and expert judging storehouse are set up, prediction and warning database Direct Acquisition image Analytical equipment initial analysis judge after early warning image, and early warning image after initial analysis is judged uploads to expert judging Storehouse, being pushed to expert judging terminal carries out case judge, if expert judging meets early warning event, calls in case library, if expert Judge does not meet early warning event, then call in prediction and warning database;
B, the achievement data of setting burst security incident, the achievement data of the burst security incident include burst Mass disturbance Index, serious crime index and public health emergency index;
C, the data to newly calling in prediction and warning database carry out model calculation, analyze and predict walking for social security events Gesture, and predicted the outcome using figure shows;
D, the tendency generation advanced warning grade according to prediction social security events, and be policymaker's provided auxiliary decision-making, the auxiliary Decision-making is the most safe social security events tendency obtained by the calculation of prediction and warning model, and the burst Mass disturbance corresponding to it refers to Mark, serious crime index and public health emergency index;
E, the tendency according to the prediction social security events for having generated, review current burst Mass disturbance index, serious criminal Abnormal data in case index and public health emergency index.
2. a kind of social security events are monitored and retroactive method according to claim 1, it is characterised in that burst colony sexual behavior Part prediction and warning includes step in detail below:
Obtain burst canopy index data;
Extraction model parameter, the model parameter includes weights, threshold values and sorting parameter, and dynamic to the model parameter foundation of acquisition Predicted to prediction and warning model, status predication Early-warning Model and linear trend and calculated;
Display model figure and index, and mark abnormal model parameter, there is provided aid decision.
3. a kind of social security events are monitored and retroactive method according to claim 1, it is characterised in that serious crime Prediction and warning include step in detail below:
The achievement data of serious crime is obtained, the achievement data includes that GDP annual growths index, town population account for total population Than upper annual growth rate index, Gini coefficient index, birthrate of population index, floating population in town annual growth rate index, punishment Thing case puts on record several years growth rate and serious crime is put on record number;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
4. a kind of social security events are monitored and retroactive method according to claim 1, it is characterised in that burst social hygiene The prediction and warning of event includes step in detail below:
The achievement data of burst social hygiene event is obtained, the achievement data includes network public-opinion attention rate warning index, life Necessity supply early warning index, peripheral path volume of traffic warning index, hospital admission number growth rate early warning index, public security shape Condition early warning index and social mentality's crisis alert prompting index;
The threshold values of index parameter is set up, and extracts the parameter in serious crime achievement data, set up trend Early-warning Model, shape State warning module and trend prediction model;
Difference display model figure and index, and mark abnormal model parameter, there is provided aid decision.
5. a kind of social security events are monitored and retroactive method according to claim 1, it is characterised in that be set in step e Afterwards, also including being marked to abnormal data and the step of emphasis is monitored.
CN201611009081.7A 2016-11-16 2016-11-16 A kind of social security events monitoring and retroactive method Pending CN106780235A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611009081.7A CN106780235A (en) 2016-11-16 2016-11-16 A kind of social security events monitoring and retroactive method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611009081.7A CN106780235A (en) 2016-11-16 2016-11-16 A kind of social security events monitoring and retroactive method

Publications (1)

Publication Number Publication Date
CN106780235A true CN106780235A (en) 2017-05-31

Family

ID=58969253

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611009081.7A Pending CN106780235A (en) 2016-11-16 2016-11-16 A kind of social security events monitoring and retroactive method

Country Status (1)

Country Link
CN (1) CN106780235A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108480A (en) * 2018-01-04 2018-06-01 华北电力科学研究院有限责任公司 The newer method of dynamic and system of electric power trade information safety education equipment
CN108304580A (en) * 2018-03-05 2018-07-20 上海思贤信息技术股份有限公司 A kind of major event method for early warning and system towards urban grid management
CN109118411A (en) * 2018-08-15 2019-01-01 浙江省绍兴市人民检察院 Criminal execution prosecution system and method based on intelligent assistance platform and mobile terminal
CN109408620A (en) * 2018-10-11 2019-03-01 杭州安恒信息技术股份有限公司 A kind of method, apparatus, equipment and the storage medium of network public opinion trend prediction
CN109635995A (en) * 2018-10-25 2019-04-16 中国电子科技集团公司电子科学研究院 A kind of social security events anomaly method and device based on multidimensional data
CN111178702A (en) * 2019-12-17 2020-05-19 博康智能信息技术有限公司 Social security state assessment method based on alarm condition

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108480A (en) * 2018-01-04 2018-06-01 华北电力科学研究院有限责任公司 The newer method of dynamic and system of electric power trade information safety education equipment
CN108304580A (en) * 2018-03-05 2018-07-20 上海思贤信息技术股份有限公司 A kind of major event method for early warning and system towards urban grid management
CN109118411A (en) * 2018-08-15 2019-01-01 浙江省绍兴市人民检察院 Criminal execution prosecution system and method based on intelligent assistance platform and mobile terminal
CN109118411B (en) * 2018-08-15 2022-02-22 浙江省绍兴市人民检察院 Criminal execution inspection system and method based on intelligent auxiliary platform and mobile terminal
CN109408620A (en) * 2018-10-11 2019-03-01 杭州安恒信息技术股份有限公司 A kind of method, apparatus, equipment and the storage medium of network public opinion trend prediction
CN109635995A (en) * 2018-10-25 2019-04-16 中国电子科技集团公司电子科学研究院 A kind of social security events anomaly method and device based on multidimensional data
CN111178702A (en) * 2019-12-17 2020-05-19 博康智能信息技术有限公司 Social security state assessment method based on alarm condition

Similar Documents

Publication Publication Date Title
CN106780235A (en) A kind of social security events monitoring and retroactive method
CN104363106B (en) A kind of communicating for power information fault pre-alarming analysis method based on big data technology
CN108928700B (en) Hospital elevator safety three-dimensional monitoring cloud platform, system and method thereof, and elevator system
CN108648403A (en) A kind of self study security against fire method for early warning and system
CN108052734A (en) A kind of method and system predicted based on meteorologic parameter amplitude of lightning current
CN105516659B (en) A kind of intelligent safety and defence system and method based on face's Emotion identification
CN111178598A (en) Passenger flow prediction method and system for railway passenger station, electronic device and storage medium
CN105915402A (en) Industrial control network security protection system
CN112349015B (en) Shelter management and control system and method based on Internet of things
CN110807908A (en) Intelligent alarm method for hydropower station cluster monitoring system
CN115345568A (en) Monitoring and early warning method and system based on drainage pipe network GIS
CN111914687A (en) Method for actively identifying accident based on Internet of vehicles
CN107920224B (en) Abnormity warning method, abnormity warning equipment and video monitoring system
CN103309235A (en) Industrial control system active safety method
CN116721550B (en) Traffic management system based on grid computing
CN116777085B (en) Coal mine water damage prediction system based on data analysis and machine learning technology
CN116010886B (en) Security monitoring method, device, electronic equipment and storage medium
CN106408220A (en) Method and device for generating super warning in unattended manner
CN109981358A (en) A kind of adaptive network performance method for early warning based on built-up pattern
CN113653534B (en) Mine water damage early warning system and method
CN106411620A (en) Power communication abnormal event filtering method
CN108256663B (en) Real-time prediction method for nuclear power operation accident risk
CN114611944B (en) Mine goaf risk prevention and control management method, controller and system
CN110363395A (en) A kind of method for prewarning risk of mountainous region Substation Electric Equipment
CN108416530A (en) A kind of coal mine accident emergency response Application of risk decision method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170531