CN117649212B - Public security and control integrated management cloud platform based on big data analysis - Google Patents
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Abstract
The invention belongs to the technical field of security control management, and particularly discloses a security control comprehensive management cloud platform based on big data analysis.
Description
Technical Field
The invention belongs to the technical field of security control management, and particularly relates to a security control comprehensive management cloud platform based on big data analysis.
Background
With the growth of population and the acceleration of urban mass, urban areas with dense population face more security challenges, and meanwhile, the complex environment in the city also aggravates security control difficulty, thereby greatly influencing security control effect and control efficiency, community residents can more easily find and report abnormal conditions due to better understanding of local environment, help law enforcement agencies to intervene and process potential problems more rapidly, so that the advantage of the public participation in security is more and more highlighted, and in this case, the public is more and more participated in the security control of jurisdictions now, thereby forming group control.
In order to facilitate the implementation of group prevention and control, a group prevention and control platform is generally constructed, and the masses report the alarm condition on the platform by using the mobile terminal, so that the alarm is given according to the reported alarm condition information, but the group prevention and control implemented in the prior art has the following defects: 1. the warning situation reporting behaviors of the masses at the mobile end are not restrained and controlled, so that the degree of freedom of warning situation reporting is too high, warning situation reporting abuse is easy to cause, false, incomplete, subjective or misleading warning situation information frequently enters a platform, excessive occupation of law enforcement resources exists, and the emergency response speed of law enforcement institutions to real emergency situations is slowed down.
2. Since the alarm condition of the masses at the mobile end is not subjected to constraint control, the reporting authenticity of the alarm condition information is limited, hidden danger of false alarm or misleading law enforcement personnel exists, the verification of the alarm condition information on the masses in the prior art mainly depends on manual verification of the law enforcement personnel, and the manual verification needs to consume a great deal of time, especially the verification efficiency is seriously affected under the condition of processing a great deal of reporting, in addition, the manual judgment of the law enforcement personnel can be influenced by subjective factors, and the possibility of misjudgment exists.
3. Police information reported by the masses at the mobile end can relate to collection of a large amount of personal information, but the prior art lacks privacy treatment on the police information, so that the police information is easily directly exposed on a platform, privacy leakage risks exist, and personal safety guarantee of a reporter and the police information is not facilitated.
Disclosure of Invention
In view of the above, the present invention aims to provide a security and protection integrated management cloud platform based on big data analysis, which effectively solves the problems provided in the above background technology by restricting the alarm reporting behavior of the mobile terminal masses and optimizing the verification mode of the alarm information, and increasing the privacy processing of the alarm information.
The aim of the invention can be achieved by the following technical scheme: public security control integrated management cloud platform based on big data analysis includes: and the warning condition reporting storage module is used for reporting the warning condition to the management cloud platform in real time by using the mobile terminal by the masses in the jurisdiction, and the reported warning condition information is stored in the background.
The alarm information extraction module is used for extracting reported alarm information from the background of the management cloud platform when the alarm is reported, and the reported alarm information comprises alarm description information, alarm occurrence positions and reporting account numbers.
And the alarm condition upper Application for Inspection verification module is used for carrying out two-stage verification on the reported alarm condition information, wherein the two-stage verification comprises platform auditing and investigation verification, and verification results and verification conditions are obtained.
And the verification processing module is used for processing the alarm reporting person based on the verification condition.
And the police-out resource intelligent allocation module is used for extracting police-out related parameters from the police-out verification information after verification is passed, and specifically comprises the number of involved persons and the number of event-affected persons, so that police-out resource allocation and police-out route planning are carried out.
The police dispatch list generation auditing module is used for generating an police dispatch list from the intelligently distributed police dispatch resources and the police dispatch route, transmitting the police dispatch list to the security and protection control center for auditing, and transmitting the police dispatch list to the police dispatch center after the auditing is successful, and issuing the police dispatch list to appointed law enforcement personnel.
And the alarm task progress uploading module is used for transmitting alarm progress information to the management cloud platform in real time by appointed law enforcement personnel executing the alarm task in the alarm process, and specifically comprises an alarm position and whether alarm processing is completed.
The warning route dynamic adjustment module is used for carrying out desensitization treatment on the reported warning information, pushing the treated warning information to the main interface, carrying out warning information updating and reporting by the masses, and further carrying out warning route dynamic adjustment by the management cloud platform according to the updated warning information and warning progress information.
The public security management and control library is used for storing the reference warning condition expression words, storing the warning condition hazard index range corresponding to each warning condition hazard level and storing the number of required warning personnel corresponding to each warning condition hazard level.
In an alternative embodiment, the alert report supports text report, picture report and video report, and digital signature is performed after the report is completed.
In an alternative embodiment, the platform audit is performed as follows: and (1) acquiring a reporting mode of the warning condition, if the reporting mode is text, executing the step (2), and if the reporting mode is pictures or videos, executing the step (3).
(2) Dividing words of the police condition description text to obtain a plurality of word groups, marking the parts of speech of each divided word group, extracting word groups with parts of speech of verbs and names from the word groups to serve as target word groups, and matching the target word groups with reference police condition expression words in a public security management and control library in the management cloud platform, so that the successfully matched target word groups are counted.
(3) And respectively carrying out authenticity detection on the warning picture or the warning video to obtain the authenticity, comparing the authenticity with the set standard-reaching authenticity, and carrying out warning related object recognition and warning related action recognition from the warning picture or the warning video if the authenticity reaches the standard-reaching authenticity, otherwise, not carrying out processing.
In an alternative embodiment, the investigation and verification process is as follows: the first step: the method comprises the steps of extracting an alarm condition occurrence position from reported alarm condition information, searching cameras near the alarm condition occurrence position from a map of an district in a management cloud platform to serve as target cameras, determining the shooting distance of the target cameras by means of the setting position of the target cameras and the alarm condition occurrence position, adjusting the focal length of the target cameras, and controlling the target cameras to shoot alarm condition videos to the alarm condition occurrence position.
And a second step of: processing the shot warning condition videos according to the step (3), and counting the number of the recognized warning condition related objects and the number of the warning condition related actions, thereby calculating the warning condition relation degreeWherein/>In/>、/>Respectively expressed as the number of the police-situation-related objects and the number of the police-situation-related actions,/>Expressed as weight factors corresponding to preset warning related objects,/>Expressed as a natural constant.
And a third step of: comparing the alarm condition relation with the effective alarm condition relation set by the platform, and passing through an audit modelObtain investigation and audit result/>Wherein/>Indicating that the audit is passed,Indicating that the audit was not passed.
In an alternative embodiment, the verification result is obtained as follows: if the reporting mode is characters, extracting an alarm condition associated object and an alarm condition associated action from a photographed alarm condition video, comparing the alarm condition associated object and the alarm condition associated action with successfully matched target word groups in an alarm condition description text, counting the number of the target word groups with the same comparison, and calculating。
If the reporting mode is a picture or a video, the warning related object and the warning related action extracted from the photographed warning video are compared with the warning related object and the warning related action extracted from the warning picture or the warning video in the warning reporting information, the number of the warning related objects and the number of the warning related actions which are consistent in statistics and comparison are calculated, and the degree of association is calculatedIn/>、/>Respectively expressed as the number of the police condition associated objects and the number of the police condition associated actions which are consistent in comparison、/>The number of the warning condition associated objects extracted from the warning condition picture or the warning condition video in the warning condition reporting information is respectively represented as the number of the warning condition associated actions.
Importing the association degree and investigation auditing result into a verification result modelObtaining verification results and corresponding verification conditions thereof, and/>, in the modelRepresented as a preconfigured up-to-standard association.
In an alternative embodiment, the processing operation of the alarm on the basis of the verification condition is as follows: if the verification conditions containThe alarm is not processed, if the verification condition contains/>Pushing the report account number of the alarm condition reporter to the security control center.
In an alternative embodiment, the alert condition verification information is an alert condition video shot by the target camera.
In an alternative embodiment, the implementation process of the alert resource allocation is as follows: the information related to the police condition is passed through the formulaObtaining the alert hazard index, wherein/>Expressed as number of people involved,/>Expressed as event-wave number,/>Expressed as a preset constant, and/>。
And extracting the warning hazard grades from the public security management and control library based on the warning hazard indexes, and further matching the warning hazard grades with the number of required warning personnel corresponding to each warning hazard grade in the public security management and control library, thereby obtaining the number of required warning personnel.
And acquiring the current distribution position of the law enforcement officers from the current law enforcement officer position distribution map in the management cloud platform, and then selecting appointed law enforcement officers nearby based on the number of police officers required.
In an alternative embodiment, the desensitizing treatment comprises the following specific treatment processes: if the reporting mode is text, the account information of the alarm report is subjected to fuzzy processing.
If the reporting mode is a picture or a video, the account information of the warning report and the faces of the personnel involved in the event and the event in the warning picture or the warning video are subjected to fuzzy processing.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the invention, by carrying out report account record and digital signature when the masses report alarm information, behavior constraint in the report process is realized, and the correlation comparison of the alarm report information and the alarm verification information is increased in the verification of the alarm information, and the report is processed based on the correlation result, so that the behavior constraint in the report verification is realized, thereby reducing the degree of freedom of the alarm report to a certain extent, effectively avoiding the occurrence of alarm report abuse phenomenon, and being beneficial to improving the emergency response speed of law enforcement agencies to real emergency situations.
2. According to the invention, platform audit and investigation verification are carried out on the alarm information reported by the masses at the mobile end, so that dependence on manual verification can be reduced to the greatest extent, verification efficiency can be improved, subjective interference of manual verification can be avoided, misjudgment rate is reduced, intelligence of alarm verification and enhancement of verification force are realized, wherein platform audit can provide convenience for investigation verification, and can further determine whether to enter audit or not based on authenticity detection of the alarm information, so that workload of an audit system can be relieved, audit efficiency is improved, and investigation verification can truly reflect actual states of the alarm information, thereby realizing visual comparison with the alarm information reported by the masses, ensuring authenticity and credibility of the reported alarm information, providing objective and reliable basis for processing of a reporter, and continuing execution when the alarm information is imperfect and inaccurate through investigation, so that missing processing of the real alarm information can be avoided.
3. According to the invention, the police information reported by the masses at the mobile end is stored in the background, and the main interface pushing is carried out after the police information is desensitized after the verification is passed, so that the privacy processing of the police information is realized, the privacy leakage risk can be reduced to the greatest extent, and the personal safety guarantee of the reporting person and the police information related personnel is facilitated.
4. The invention realizes transparent display of the alarm progress by the alarm personnel on the platform in real time when the alarm is sent based on the alarm information passing verification, improves the communication between law enforcement personnel and the management layer on the one hand, can also transmit related information to the public on the other hand, increases the transparency of public security work, can record detailed information of alarm processing on the other hand, and provides useful data for subsequent history review and analysis so as to improve workflow and decision.
5. According to the invention, the desensitized warning information is pushed to the main interface, so that the masses can find the warning information to be processed in time, the masses can be started to update and report the warning information conveniently, the police can know the dynamic change of the warning information in time in the warning process, meanwhile, the platform can adjust the warning route dynamically according to the updated warning information conveniently, the law enforcement personnel can arrive at the scene in time, and the response speed of the law enforcement mechanism to the emergency can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a security and protection control integrated management cloud platform based on big data analysis, which comprises the following components: the alarm condition information processing system comprises an alarm condition reporting storage module, an alarm condition information extraction module, an alarm condition reporting Application for Inspection identification module, a verification processing module, an alarm output resource intelligent allocation module, an alarm output task list generation auditing module, an alarm output task progress uploading module, an alarm output route dynamic adjustment module and a public security management and control library.
The warning information extraction module is connected with the warning information extraction module, the warning information extraction module is respectively connected with the warning information Application for Inspection certification module and the verification processing module, the warning information Application for Inspection certification module is respectively connected with the verification processing module and the warning resource intelligent distribution module, the warning resource intelligent distribution module is connected with the warning task list generation auditing module, the warning task list generation auditing module is connected with the warning task progress uploading module, the warning task progress uploading module is connected with the warning route dynamic adjustment module, and the security management and control library is respectively connected with the warning information Application for Inspection certification module and the warning resource intelligent distribution module.
The connection between modules is shown in fig. 1.
The warning information reporting storage module is used for reporting warning information to the management cloud platform in real time by using the mobile terminal by masses in the jurisdiction, and the reported warning information is stored in the background.
It is known that the personal privacy in the alarm information can be prevented from being revealed by storing the reported alarm information in the background instead of directly displaying the alarm information on the main interface.
The method is applied to the embodiment, and the alarm condition reporting supports text reporting, picture reporting and video reporting, and digital signature is carried out after the reporting is finished.
It will be appreciated that a digital signature may be used for authentication, and only by itself can a valid digital signature be generated, so that security management personnel can be confident that data is created by a particular entity through the digital signature, while the digital signature has anti-repudiation properties, i.e. the creator cannot deny that a certain document has been created or signed, and furthermore the digital signature is used to ensure that the data has not been tampered with during transmission or storage, if the data is modified after signing, the digital signature will fail.
The alarm information extraction module is used for extracting reported alarm information from the background of the management cloud platform when an alarm is reported, and the reported alarm information comprises alarm description information, alarm occurrence positions and reporting accounts.
It is necessary to supplement that the police report can be carried out only by using the mobile terminal to log in the management cloud platform through the account, so that each report person corresponds to a report account.
In the above, when the reporting mode is text, the warning description information is warning description text, and when the reporting mode is picture or video, the warning description information is warning picture or warning video.
The alarm condition up Application for Inspection verification module is used for carrying out two-stage verification on the reported alarm condition information, wherein the two-stage verification comprises platform auditing and investigation verification, and verification results and verification conditions are obtained.
The operation process of the platform audit applied to the embodiment is as follows: and (1) acquiring a reporting mode of the warning condition, if the reporting mode is text, executing the step (2), and if the reporting mode is pictures or videos, executing the step (3).
(2) Dividing the police condition description text into words to obtain a plurality of word groups, marking the parts of speech of each divided word group, extracting word groups with parts of speech of verbs and nouns from the word groups as target word groups, and matching the target word groups with reference police condition expression words in a public security management and control library arranged in a management cloud platform, so as to count successfully matched target word groups.
In a specific embodiment, the reason that the word segmentation group with parts of speech as verbs and nouns is selected as a target word segmentation group is that the verbs reflect actions and behaviors of police situation association personnel, and the nouns reflect police situation association articles such as weapons, packages, banknotes and the like, which can be used as keywords in police situation recognition, so that whether potential police situations exist can be rapidly judged.
In further embodiments, the reference warning statement is robbery, cradling, kicking, gun, knife, etc.
(3) And respectively carrying out authenticity detection on the warning picture or the warning video to obtain the authenticity, comparing the authenticity with the set standard-reaching authenticity, and carrying out warning related object recognition and warning related action recognition from the warning picture or the warning video if the authenticity reaches the standard-reaching authenticity, otherwise, not carrying out processing.
In particular applications, alert-related objects include, but are not limited to, weapons, packages, etc., and alert-related actions include, but are not limited to, beating, kicking, throwing, robbing, etc.
Preferably, the authenticity detection of the warning image or the warning video can be performed by introducing the management cloud platform into an authenticity detection algorithm, for example, checking metadata (such as shooting time, place and equipment information) of the image and the video to verify the authenticity of the image or detecting whether the image is edited, including cutting, modifying, synthesizing and the like, checking whether frames in the video are consistent in time and space, verifying whether audio in the video is consistent with the image or not and the like, and the authenticity of warning can be verified before the recognition of the warning related object through the authenticity detection, so that resource waste caused by continuous warning processing under the condition of false warning is avoided.
It should be understood that the purpose of the invention for carrying out the authenticity detection on the police picture or the police video on the premise that the warning mode is the picture or the video is that the picture and the video are widely used for conveying information, expressing views and spreading news in the current society, and in order to improve the attention, some people can make the picture or the video in the fictional, clipping and synthesizing modes, so that the authenticity of the picture and the video reflecting objective facts is reduced, and therefore, the authenticity detection on the police picture or the police video is necessary.
From the above, the platform can verify that the reported alarm condition can be identified in authenticity on the one hand, so that the credibility and accuracy of the information are ensured, the follow-up processing can be performed under the condition that the authenticity detection reaches the standard, the effective utilization of alarm condition processing resources can be improved, and on the other hand, the specific characteristic disassembly can be performed on the reported alarm condition information, so that convenience is provided for follow-up investigation and verification.
Further applied to the above embodiment, the operation procedure of the investigation and verification is as follows: the first step: the method comprises the steps of extracting an alarm condition occurrence position from reported alarm condition information, searching cameras near the alarm condition occurrence position from a map of an district in a management cloud platform to serve as target cameras, determining the shooting distance of the target cameras by means of the setting position of the target cameras and the alarm condition occurrence position, adjusting the focal length of the target cameras, and controlling the target cameras to shoot alarm condition videos to the alarm condition occurrence position.
And a second step of: processing the shot warning condition videos according to the step (3), and counting the number of the recognized warning condition related objects and the number of the warning condition related actions, thereby calculating the warning condition relation degreeWherein/>In/>、/>Respectively expressed as the number of the police-situation-related objects and the number of the police-situation-related actions,/>Expressed as weight factors corresponding to preset warning related objects,/>The method is expressed as a natural constant, wherein the more the number of the warning related objects is, the more the number of the warning related actions is, and the greater the warning relation degree is.
And a third step of: the alarm relation is compared with the effective alarm relation set by the platform, and the effective alarm relation can be set to be 0.7 through an audit modelObtain investigation and audit result/>Wherein/>Indicating that the audit is passed,/>Indicating that the audit was not passed.
Still further, the acquisition process of the verification result is as follows: if the reporting mode is characters, extracting an alarm condition associated object and an alarm condition associated action from a photographed alarm condition video, comparing the alarm condition associated object and the alarm condition associated action with successfully matched target word groups in an alarm condition description text, counting the number of the target word groups with the same comparison, and calculating。
If the reporting mode is a picture or a video, the warning related object and the warning related action extracted from the photographed warning video are compared with the warning related object and the warning related action extracted from the warning picture or the warning video in the warning reporting information, the number of the warning related objects and the number of the warning related actions which are consistent in statistics and comparison are calculated, and the degree of association is calculatedIn/>、/>Respectively expressed as the number of the police condition associated objects and the number of the police condition associated actions which are consistent in comparison、/>The number of the warning condition associated objects extracted from the warning condition picture or the warning condition video in the warning condition reporting information is respectively represented as the number of the warning condition associated actions.
Importing the association degree and investigation auditing result into a verification result modelObtaining verification results and corresponding verification conditions thereof, and/>, in the modelRepresented as a preconfigured up-to-standard association.
The invention is to say that when the verification result is obtained based on platform auditing and investigation verification, the relevance of the alarm condition reporting and the alarm condition verification is concerned, and the situations that the alarm condition reporting is imperfect and inaccurate are considered, so that the verification result can more follow the actual requirement, and the rationality of the verification result is improved.
According to the invention, platform audit and investigation verification are carried out on the alarm information reported by the masses at the mobile end, so that dependence on manual verification can be reduced to the greatest extent, verification efficiency can be improved, subjective interference of manual verification can be avoided, misjudgment rate is reduced, intelligence of alarm verification and enhancement of verification force are realized, wherein platform audit can provide convenience for investigation verification, and can further determine whether to enter audit or not based on authenticity detection of the alarm information, so that workload of an audit system can be relieved, audit efficiency is improved, and investigation verification can truly reflect actual states of the alarm information, thereby realizing visual comparison with the alarm information reported by the masses, ensuring authenticity and credibility of the reported alarm information, providing objective and reliable basis for processing of a reporter, and continuing execution when the alarm information is imperfect and inaccurate through investigation, so that missing processing of the real alarm information can be avoided.
The verification processing module is used for processing the alarm reporting person based on the verification condition, and the specific processing process is as follows: if the verification conditions containThe alarm is not processed, if the verification condition contains/>Pushing the report account number of the alarm condition reporter to the security control center.
According to the invention, by carrying out report account record and digital signature when the masses report alarm information, behavior constraint in the report process is realized, and the correlation comparison of the alarm report information and the alarm verification information is increased in the verification of the alarm information, and the report is processed based on the correlation result, so that the behavior constraint in the report verification is realized, thereby reducing the degree of freedom of the alarm report to a certain extent, effectively avoiding the occurrence of alarm report abuse phenomenon, and being beneficial to improving the emergency response speed of law enforcement agencies to real emergency situations.
The intelligent alarm resource allocation module is used for extracting alarm condition related parameters from alarm condition verification information after verification is passed, and specifically comprises the number of involved events and the number of event affected persons, so that alarm resource allocation and alarm route planning are carried out.
The medium warning condition verification information is warning condition videos shot by the target camera.
The number of the event involved refers to the number of people involved in the police, such as the number of people involved in robbery, and the number of the event involved refers to the number of people involved in the police.
In the above scheme, the implementation process of the alert resource allocation is as follows: the information related to the police condition is passed through the formulaObtaining the alert hazard index, wherein/>Is expressed as the number of people involved in the event,Expressed as event-wave number,/>Expressed as a preset constant, and/>Exemplary,/>The more people involved, the more events are incident and the greater the warning hazard index.
The police hazard indexes are matched with the police hazard index ranges corresponding to the police hazard grades in the public security management and control library, the police hazard grades are obtained, and then the police hazard grades are matched with the number of required police dispatch personnel corresponding to the police hazard grades in the public security management and control library, and the number of required police dispatch personnel is obtained.
And acquiring the current distribution position of the law enforcement officers from the current law enforcement officer position distribution map in the management cloud platform, and then selecting appointed law enforcement officers nearby based on the number of police officers required.
The alarm task list generation auditing module is used for generating an alarm task list from the intelligently distributed alarm resources and alarm routes, sending the alarm task list to the security and protection control center for auditing, and sending the alarm task list to the alarm dispatching center after the auditing is successful, and issuing alarm tasks to appointed law enforcement personnel by the alarm dispatching center.
The warning task progress uploading module is used for transmitting warning progress information to the management cloud platform in real time by appointed law enforcement personnel executing the warning task in the warning process, and specifically comprises a warning position and whether warning processing is completed.
The invention realizes transparent display of the alarm progress by the alarm personnel on the platform in real time when the alarm is sent based on the alarm information passing verification, improves the communication between law enforcement personnel and the management layer on the one hand, can also transmit related information to the public on the other hand, increases the transparency of public security work, can record detailed information of alarm processing on the other hand, and provides useful data for subsequent history review and analysis so as to improve workflow and decision.
The warning route dynamic adjustment module is used for carrying out desensitization treatment on the reported warning information, pushing the treated warning information to the main interface, carrying out warning information updating and reporting by the masses, and further carrying out warning route dynamic adjustment by the management cloud platform according to the updated warning information and warning progress information.
It is added that when the alarm progress is processed, the alarm route does not need to be dynamically adjusted.
In the implementation of the scheme, the desensitization treatment mode is as follows: if the reporting mode is text, the account information of the alarm report is subjected to fuzzy processing.
If the reporting mode is a picture or a video, the account information of the warning report and the faces of the personnel involved in the event and the event in the warning picture or the warning video are subjected to fuzzy processing.
According to the invention, the police information reported by the masses at the mobile end is stored in the background, and the main interface pushing is carried out after the police information is desensitized after the verification is passed, so that the privacy processing of the police information is realized, the privacy leakage risk can be reduced to the greatest extent, and the personal safety guarantee of the reporting person and the police information related personnel is facilitated.
According to the invention, the desensitized warning information is pushed to the main interface, so that the masses can find the warning information to be processed in time, the masses can be started to update and report the warning information conveniently, the police can know the dynamic change of the warning information in time in the warning process, meanwhile, the platform can adjust the warning route dynamically according to the updated warning information conveniently, the law enforcement personnel can arrive at the scene in time, and the response speed of the law enforcement mechanism to the emergency can be improved.
The public security management and control library is used for storing reference warning condition expression words, storing warning condition hazard index ranges corresponding to the warning condition hazard levels and storing the number of required warning personnel corresponding to the warning condition hazard levels.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (5)
1. Public security control integrated management cloud platform based on big data analysis, characterized by comprising:
The warning condition reporting storage module is used for reporting warning conditions to the management cloud platform in real time by using the mobile terminal by masses in the jurisdiction, and the reported warning condition information is stored in the background;
the alarm information extraction module is used for extracting reported alarm information from the background of the management cloud platform when an alarm is reported, and the reported alarm information comprises alarm description information, alarm occurrence positions and reporting account numbers;
The alarm condition up Application for Inspection verification module is used for carrying out two-stage verification on the reported alarm condition information, wherein the two-stage verification comprises platform auditing and investigation verification, and verification results and verification conditions are obtained;
the verification processing module is used for processing the alarm report based on the verification condition;
The police-out resource intelligent allocation module is used for extracting police-out related parameters from police-out verification information after verification is passed, and specifically comprises the number of involved persons and the number of event-affected persons, so that police-out resource allocation and police-out route planning are carried out;
The police dispatch list generation auditing module is used for generating an police dispatch list from the intelligently distributed police dispatch resources and the police dispatch route, transmitting the police dispatch list to the security control center for auditing, and transmitting the police dispatch list to the police dispatch center after the auditing is successful, and issuing the police dispatch list to appointed law enforcement personnel by the police dispatch center;
The warning task progress uploading module is used for transmitting warning progress information to the management cloud platform in real time by appointed law enforcement personnel executing the warning task in the warning process, and specifically comprises a warning position and whether warning processing is completed or not;
The warning route dynamic adjustment module is used for carrying out desensitization treatment on the reported warning information, pushing the treated warning information to a main interface, carrying out warning information updating and reporting by the masses, and further carrying out warning route dynamic adjustment by the management cloud platform according to the updated warning information and warning progress information;
The public security management and control library is used for storing reference warning condition expression words, storing warning condition hazard index ranges corresponding to the warning condition hazard levels and storing the number of required warning personnel corresponding to the warning condition hazard levels;
the operation process of the platform auditing is as follows:
the method comprises the steps of (1) obtaining a reporting mode of the warning condition, executing (2) if the reporting mode is characters, and executing (3) if the reporting mode is pictures or videos;
(2) Dividing the police condition description text into words to obtain a plurality of word groups, marking the parts of speech of each divided word group, extracting word groups with parts of speech of verbs and names from the word groups to serve as target word groups, and matching the target word groups with reference police condition expression words in a public security management and control library in the management cloud platform, so that the successfully matched target word groups are counted;
(3) Carrying out authenticity detection on the warning image or the warning video respectively to obtain the authenticity, comparing the authenticity with the set standard-reaching authenticity, and carrying out warning related object recognition and warning related action recognition from the warning image or the warning video if the authenticity reaches the standard-reaching authenticity, otherwise, not carrying out processing;
The operation process of the investigation and verification is as follows:
the first step: extracting an alarm condition occurrence position from the reported alarm condition information, searching cameras near the alarm condition occurrence position from a map of an district in the management cloud platform to serve as target cameras, determining the shooting distance of the target cameras by means of the setting position of the target cameras and the alarm condition occurrence position, adjusting the focal length of the target cameras, and controlling the target cameras to shoot alarm condition videos to the alarm condition occurrence position;
And a second step of: processing the shot warning condition videos according to the step (3), and counting the number of the recognized warning condition related objects and the number of the warning condition related actions, thereby calculating the warning condition relation degree Wherein/>In/>、/>Respectively expressed as the number of the police-situation-related objects and the number of the police-situation-related actions,/>Expressed as weight factors corresponding to preset warning related objects,/>Expressed as natural constants;
and a third step of: comparing the alarm condition relation with the effective alarm condition relation set by the platform, and passing through an audit model Obtain investigation and audit result/>Wherein/>Indicating that the audit is passed,Indicating that the audit is not passed;
The verification result is obtained as follows:
If the reporting mode is characters, extracting an alarm condition associated object and an alarm condition associated action from a photographed alarm condition video, comparing the alarm condition associated object and the alarm condition associated action with successfully matched target word groups in alarm condition character description information, counting the number of target word groups with consistent comparison, and calculating the association degree ；
If the reporting mode is a picture or a video, the warning related object and the warning related action extracted from the photographed warning video are compared with the warning related object and the warning related action extracted from the warning picture or the warning video in the warning reporting information, the number of the warning related objects and the number of the warning related actions which are consistent in statistics and comparison are calculated, and the degree of association is calculatedIn/>、/>Respectively expressed as the number of the police condition associated objects and the number of the police condition associated actions which are consistent in comparison、/>Respectively representing the quantity of the police condition associated objects extracted from the police condition picture or the police condition video in the police condition reporting information and the quantity of the police condition associated actions;
importing the association degree and investigation auditing result into a verification result model Obtaining verification results and corresponding verification conditions thereof, and/>, in a verification result modelRepresenting the standard reaching association degree which is preconfigured;
the alarm condition reporting person is processed based on the verification condition as follows:
If the verification conditions contain The alarm is not processed, if the verification condition contains/>Pushing the report account number of the alarm condition reporter to the security control center.
2. The security and protection control integrated management cloud platform based on big data analysis as set forth in claim 1, wherein: the alarm condition reporting supports text reporting, picture reporting and video reporting, and digital signature is carried out after the reporting is finished.
3. The security and protection control integrated management cloud platform based on big data analysis as set forth in claim 1, wherein: the warning condition verification information is warning condition videos shot by the target camera.
4. The security and protection control integrated management cloud platform based on big data analysis as set forth in claim 1, wherein: the implementation process of the alarm resource allocation is as follows:
The information related to the police condition is passed through the formula Obtaining the alert hazard index, wherein/>Expressed as number of people involved,/>Expressed as event-wave number,/>Expressed as a preset constant, and/>；
The police hazard grades are extracted from the public security management and control library based on the police hazard indexes, and then the police hazard grades are matched with the number of required police dispatch personnel corresponding to each police hazard grade in the public security management and control library, so that the number of required police dispatch personnel is obtained;
And acquiring the current distribution position of the law enforcement officers from the current law enforcement officer position distribution map in the management cloud platform, and then selecting appointed law enforcement officers nearby based on the number of police officers required.
5. The security and protection control integrated management cloud platform based on big data analysis as set forth in claim 1, wherein: the specific treatment process of the desensitization treatment comprises the following steps:
if the reporting mode is characters, carrying out fuzzy processing on account information of the alarm report;
if the reporting mode is a picture or a video, the account information of the warning report and the faces of the personnel involved in the event and the event in the warning picture or the warning video are subjected to fuzzy processing.
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