CN106780235A - A kind of social security events monitoring and retroactive method - Google Patents
A kind of social security events monitoring and retroactive method Download PDFInfo
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- 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
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- 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
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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
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.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
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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 |
-
2016
- 2016-11-16 CN CN201611009081.7A patent/CN106780235A/en active Pending
Cited By (7)
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 |
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Application publication date: 20170531 |