326 results about "Public security" patented technology

The invention provides a knowledge graph-based public security multi-source risk factor association identification analysis method, which relates to the technical field of risk identification, and comprises the steps of obtaining multi-source risk factor data, extracting information from unstructured data, constructing an initial association network, performing feature analysis and calculating a similarity matrix; and the close association subgroups are identified through community discovery, a multi-level association network is constructed, a conduction path is analyzed, a weight is calculated, and finally risk early warning information is generated. According to the invention, the complex association between public security risk factors can be effectively identified, and the risk prediction accuracy is improved.

The invention belongs to the technical field of public safety, and particularly relates to a map-based focused person management and control large model visualization system and method, and the system comprises a multi-source data collection layer which is used for constructing a multi-modal data set comprising identities, tracks and biological characteristics; the large model analysis layer comprises a space-time trajectory prediction model, a risk integral calculation engine, a group event early warning model and data processing; the visual interaction layer dynamically renders personnel tracks, risk thermodynamic diagrams and police resource distribution based on a three-dimensional map engine, and supports hierarchical early warning display and emergency plan linkage; the monitoring and tracking layer is matched with the tracking and early warning layer, frequently-going / non-frequently-going areas are divided through an improved space-time ST-DBSCAN algorithm, dangerous behaviors of management and control personnel are monitored and tracked, and a differential early warning mechanism is triggered. The multi-modal data fusion technology is combined, real-time loading of ten thousand people-level track points is achieved, data collaborative training of public security organizations in multiple places is supported, and dangerous behaviors of management and control personnel can be monitored and tracked.

The invention provides a multi-feature trajectory prediction and cross-defense early warning method for edge and coast defense control objects, relates to the technical field of trajectory prediction and intelligent control, and solves various limitation problems of poor trajectory continuity, lack of environmental constraints and the like of an existing trajectory prediction technology in edge and coast defense scenes. The method comprises the following steps: firstly, acquiring multi-channel monitoring video data, performing environment adaptation preprocessing, and detecting each target and category; based on a detection result, splicing the track fragments in the single-path monitoring range, and obtaining global track data of the target after preset constraint inspection; extracting features of the global trajectory data from a plurality of preset dimensions, and performing feature fusion to obtain high-dimensional vector representation of the target trajectory; and constructing a multi-dimensional feature constraint trajectory prediction model, respectively modeling through time dependence and space interaction, and outputting a subsequent trajectory of the target under a preset constraint. The method can effectively realize prediction and cross-defense risk identification of future trajectories of key control objects, and is applied to the field of public security.

The invention provides a data quality rule automatic matching method, system and device for public security service data, and belongs to the technical field of computer information processing. The method comprises the following steps: structurally analyzing a public security data element standard document; constructing a basic rule and an association rule according to an analysis result; constructing a quality rule knowledge graph, creating four types of entity nodes including data element nodes, rule nodes, standard nodes and synonymous name nodes, and establishing three types of relation edges including a dependency relation, a synonymous name relation and a reference relation; extracting multi-modal features of the to-be-retrieved field, wherein the multi-modal features comprise semantic features and structured features; a rule is generated through a hierarchical matching engine, and matching processes of an accurate matching layer, a semantic matching layer and a statistical matching layer are executed in sequence; and executing online optimization. According to the method, the bottleneck problems of insufficient rule coverage, semantic understanding deficiency, poor dynamic adaptability and the like of a traditional method are solved, and the method has remarkable technical progress and practical value.

The invention discloses an urban sewage pipe network system operation and maintenance effect evaluation system and method, and belongs to the technical field of sewage pipe network operation and maintenance management. According to the method, through four core models of data quality scoring, improved AHP-entropy weight method combination weighting, pipe network toughness approximate quantification and public security risk Bayesian updating, robust evaluation of data incomplete and error scenes is realized; and in combination with a core-maneuvering-wide area three-layer three-dimensional perception network and a four-step progressive data governance process, outputting a system health index with a confidence interval, designing a double-layer performance payment function associated with data quality, and generating a data short board diagnosis report. According to the method, the problem that efficiency quantification is difficult in the landing of an effect-based payment mechanism is solved, an enhanced closed loop of evaluation, data improvement and accurate operation and maintenance is constructed, a scientific quantification basis is provided for performance management of the sewage pipe network, and the method is suitable for operation and maintenance evaluation of the urban sewage pipe network under various data conditions.

The invention discloses a security unmanned aerial vehicle system based on STM32, and relates to the technical field of security unmanned aerial vehicles. The strategic value of the unmanned aerial vehicle in the public safety field is verified, the technical iteration and application deepening of the unmanned aerial vehicle can continuously promote the modernization of social governance, and the novel 7 * 24-hour all-weather security unmanned aerial vehicle system is provided for solving the problems that an existing unmanned aerial vehicle is poor in endurance, single in application scene, low in working efficiency and the like. The problem of endurance is solved by adopting a new technology and a new thought, and the system has the advantages of low cost, low power consumption, high efficiency, energy conservation, environmental protection and the like; the YOLOv5 algorithm and the ArcFace algorithm can form complementation in function, complete more complex tasks together, and realize more efficient and accurate face recognition and pedestrian analysis; the Hungary tracking algorithm and the Kalman filter are combined and used, so that multi-target tracking can be effectively realized, and the tracking accuracy and reliability are improved.

The invention relates to the field of combat command and dispatch, in particular to a multistage linkage combat unit command and dispatch system. According to the invention, a basic-level minimum emergency unit element information base is constructed through a data acquisition module; generating an electronic map supporting 2D and 3D switching; an intelligent analysis early warning module identifies abnormal conditions and generates early warning information; a plurality of multi-level linkage combat unit topology networks are generated through the multi-level linkage command architecture module; generating a command data large screen for dynamically aggregating public security indexes and a global situation visualization electronic map through a global situation visualization module; an early warning area is circled and selected through the intelligent scheduling module; and associating the corresponding multi-stage linkage combat unit to generate a deployment instruction. According to the multi-level linkage combat unit command and dispatch system provided by the invention, the multi-level linkage combat unit is effectively combined with a dynamic visual geographical environment from data acquisition, analysis and early warning to command and dispatch through cooperation of multiple modules, so that the command and dispatch efficiency is remarkably improved.

The invention discloses a multi-dimensional graph series-parallel and visualization method for telecommunication network fraud cases based on a graph database. According to the method, intelligent series-parallel analysis across time-space cases is realized by constructing a knowledge graph containing various entities such as cases, personnel, accounts and equipment and deeply fusing a hard association matching algorithm and a soft similarity graph algorithm. The system has the functions of white list filtering, time sequence behavior analysis, NLP information extraction and the like, and can effectively identify criminal gangs, track fund flow directions and mine crime modes. And finally, dynamic visual display is carried out through a plurality of interactive views such as a force-oriented graph, a time axis and a mulberry-based graph, and clue intelligent pushing and report automatic generation are supported. According to the method, the case association mining depth, the serial-parallel analysis efficiency and the interpretability of a complex network are remarkably improved, and an efficient technical support is provided for the public security organization to fight against telecommunication network fraud.

The invention relates to the field of social security management data processing, and discloses a social security information intelligent analysis system based on dynamic closed-loop regulation, and the system comprises an analysis prediction unit which calculates a risk score based on a feature weight; the subthreshold residual cutoff unit captures weak score data lower than a trigger threshold value; the space-time entropy aggregation unit calculates the Shannon entropy of the weak data; the agility bias unit reduces the trigger threshold according to the low-entropy aggregation state; the self-adaptive damping correction unit utilizes a predicted and feedback difference vector to reversely correct a feature weight, the environmental background pressure is sensed by calculating a space-time entropy value of discarded residual data, a trigger threshold value is dynamically biased according to the environmental background pressure, a damping mechanism correction model is introduced into a feedback closed loop, and a damping mechanism correction model is introduced into the feedback closed loop. The problem of weak risk report omission caused by a fixed threshold value is solved, and self-adaptive dynamic balance of system sensitivity and false alarm rate is realized.

The invention discloses an intelligent public opinion research and judgment method and system for public security actual combat, and the method achieves the high-throughput data capture and real-time public opinion inflow through multi-source crawler, breakpoint resume, incremental collection and asynchronous concurrent processing, and greatly reduces the workload of manual screening. A unified, quantifiable and structured public opinion risk grading standard is established, and risk grading standard unification is realized by constructing three types of structured public opinion dictionaries of event subjects, event properties and sensitivity grades; the grading rule is quantified and objective and adapts to the grading system of the public security actual combat, and the subjectivity and inconsistency of research and judgment are remarkably reduced; and the recessive public opinion recognition capability is improved through the deep semantic model. According to the method, the BERT model, keyword vector fusion and the police affair large model are combined, so that accurate analysis of complex semantics such as metaphor, black talk and irony mood is realized; high-robustness semantic matching and duplicate removal are carried out; through accurate extraction of risk factors and event identification, the problem of high missed judgment rate in the prior art is improved.

The invention discloses a voiceprint recognition and identity authentication method and system based on public safety management and a medium, and relates to the field of voiceprint recognition, and the method comprises the following steps: S1, carrying out the preprocessing of an original voice signal, extracting three types of features in parallel, and splicing the three types of features into a joint feature for representation; s2, coding the joint feature representation, outputting a high-level shared feature vector, and generating a voiceprint identification vector and a living body attribute vector through branches; s3, when high-security-level authentication is judged, dynamic challenge content is sent, response voice is received, and instant behavior characteristics are analyzed; and S4, calculating voiceprint matching similarity and living body attribute probability, fusing the voiceprint matching similarity, the living body attribute probability and the selectable dynamic evidence score, and generating a final authentication decision. By introducing the joint feature coding method based on the correlation constraint, the deep discrimination information can be better reserved, the defense capability on advanced speech synthesis and conversion attacks is enhanced, and the overall security level of the system is improved.

The invention discloses an intelligent early warning system based on fusion of a large model and a professional algorithm in the security field, and relates to the technical field of public security early warning. Overall efficiency upgrading is realized by relying on the decision-making capability of the large model, combining the scheduling advantage of intelligent routing and the capability of deeply activating a professional algorithm library; according to the method, efficient and accurate early warning of public security hidden dangers is realized through precise distinguishing of complex scenes by a large model and secondary judgment of a professional algorithm recognition result in combination with the fine recognition capability of a professional algorithm in the security field, the false alarm rate of a traditional early warning system is greatly reduced, and the early warning efficiency is improved. And reliable technical support is provided for work such as fire control, industrial production safety guarantee and the like.

The invention discloses a glass breaking device, and relates to the field of public security and antiriot. The glass breaker comprises a glass breaking structure and a load releasing device, the glass breaking structure comprises a shell and a tip part, and a plurality of through holes are formed in the shell; the load releasing device comprises an excitation mechanism and a load mechanism, the output side of the load mechanism communicates with the through hole, and the excitation mechanism is used for exciting the load mechanism so that the load mechanism can output an acting agent to be diffused and released to the outside through the through hole. In a specific operation process, in an emergency occasion, public security personnel can throw or launch the glass breaking device to directly break a window by using the sharp head part and force a target person to lose action ability by using released action load so as to stop adverse behaviors of the target person, and in this way, the window breaking function and the load releasing function are integrated into the glass breaking device, so that the window breaking function and the load releasing function are integrated into the glass breaking device, and the service life of the glass breaking device is prolonged. A mode of directly hitting the target person in the vehicle through one-time operation is provided, and an effective and reliable countering means is provided for public security personnel to flexibly implement disposal according to occasions.

The invention provides a personalized interactive intelligent report method based on a large language model. The method comprises the following eight steps: multi-modal prompt engineering, SQL expert model fine tuning, output correction and safety performance correction, intention perception and context construction, dynamic query generation and execution, multi-granularity insight extraction and narrative arrangement, interactive report presentation and multi-round dialogue. And a set of intelligent and adaptive data analysis report generation system is constructed. The system supports grassroots policemen to perform real-time interaction in a natural language form, automatically generates a structured query language (SQL) query or calls a preset application programming interface (API), and ensures query accuracy, security and high efficiency in combination with a multi-agent review mechanism and a dynamic knowledge graph. Meanwhile, the system has the deep data insight ability, narrative text abstracts and visual charts can be generated, and multi-round dialogue analysis is supported. The intelligent level and application efficiency of data analysis in the public security industry are remarkably improved, and the data use threshold is lowered.

The invention belongs to the technical field of wireless communication safety monitoring and intelligent supervision, and particularly relates to a distributed low-cost hotel view-stealing and photo-stealing intelligent supervision system which comprises a wireless probe and a sky-wing cloud wireless analysis management and control platform. The wireless probe is connected to a hotel room router, collects space electromagnetic signals and terminal and AP wireless data, and pre-processes and reports the space electromagnetic signals and the terminal and AP wireless data; the cloud platform is constructed based on OpenStack, network mapping is updated through an ANO adversarial online automatic learning algorithm, wired / wireless attributes and event characteristics are subjected to correlation analysis by means of a VAE-CWGAN model, risks are identified, and an alarm is issued. The system realizes lightweight deployment, low-cost operation and maintenance, real-time intelligent supervision and room-level accurate positioning, can detect hundreds of wireless security incidents and dozens of cameras, is suitable for the fields of secrecy, national security and public security, and assists in security guarantee of smart civilized cities.

The invention discloses a fire alarm inspection system and method based on big data, and relates to the technical field of intelligent fire protection and public safety. The problems that a traditional fire fighting system is serious in data island phenomenon, single in risk perception dimension, static and rigid in early warning model, high in false alarm rate and low in inspection efficiency are solved. According to the method, a fire-fighting theme database is constructed, and based on a multi-dimensional dynamic analysis model, comprehensive analysis of space aggregation risks, time sequence evolution trends and equipment linkage logic is realized, and dynamic fire danger hidden danger indexes are calculated; a key monitoring object is positioned through a visual thermodynamic diagram, grading alarm is triggered, differentiated inspection tasks and an optimal route are generated based on the intelligence, and emergency disposal linkage is supported; closed-loop management from global risk perception, intelligent analysis and early warning to precise inspection treatment is realized, and early recognition and early warning accuracy and resource scheduling efficiency of fire hazards are remarkably improved.

Particular example embodiments described herein can provide for a system, an apparatus, and a method for creating a geofence around an event, creating a phase one gate around the geofence, receiving a communication at a public safety answering point (PSAP), and conditioned upon general location data included in the communication received at the PSAP indicating the communication originated inside the phase one gate, delaying the communication until precise location data for the communication determines if the communication originated inside the geofence or outside of the geofence.

The invention belongs to the technical field of visual agent construction, and particularly relates to a public safety visual agent construction method and system based on multi-scene requirements. According to the method, by dynamically evaluating multi-scene computing power requirements, allocating resources in proportion, avoiding resource waste or overload, integrally improving computing power utilization efficiency, accurately matching each safety scene with a special model and combining front-end deployment and real-time monitoring, efficient reasoning is ensured, time delay and load conditions can be mastered in real time, historical data and real-time feedback construct a closed loop, and real-time real-time monitoring is realized. Model parameters and structures are iteratively optimized, it is ensured that model performance is continuously improved along with actual scene evolution, an ultralimit rollback mechanism is provided, system stability is guaranteed, a model library and a scheduling mechanism are designed in a separated mode, and model types and computing power scheduling strategies can be flexibly expanded according to newly added scenes or algorithm iteration; and the long-term requirements of diversification and complication of public security are met.

A method is implemented by a device and includes receiving a position ID; determining whether a first input was received on a first pad of the device within a predetermined period of the receiving; transmitting a device communication request via a first wireless connection of the device, wherein the communication request indicates the position ID; and receiving, via the first wireless connection, a communication response including audio of a telephone call.

The invention relates to the technical field of software systems and data processing, in particular to a mass address data-oriented space boundary region matching optimization method and device, and the method comprises the following steps: constructing an address set, modeling a space boundary, carrying out set-level matching, associating an application layer, and establishing an incremental updating mechanism. Address matching efficiency is greatly improved, one-by-one comparison is changed into set comparison, unnecessary repeated operation is greatly reduced, computing resource consumption is remarkably reduced, interaction frequency with a space library is reduced, CPU and memory resources are saved, system response capability is enhanced, low delay can still be kept under the condition of high concurrency, and the method is easy to expand and maintain. The method is flexible in set division, convenient to adapt to different regions and different data formats, and supports incremental updating, and in conclusion, the method is suitable for various application scenes and can be applied to multiple fields such as population monitoring, smart cities, social governance and public safety.

The invention discloses a mechanical arm anti-collision analysis system based on an explosive ordnance disposal robot, and relates to the technical field of public safety, the mechanical arm anti-collision analysis system comprises a multi-source heterogeneous data acquisition module, a space-time alignment characteristic distillation module, an attribute-track coupling prediction module and the like, and precise anti-collision is achieved by fusing obstacle attributes and tracks and gradient protection boundaries. The system has the advantages that attribute data such as obstacle material components and mechanical arm state data are synchronously obtained through the multi-source heterogeneous data acquisition module, features are extracted through fusion of the space-time alignment and feature distillation module, and a standardized data set containing rigid, explosive and quality tags is generated; and the attribute tag is incorporated into a state space by the obstacle attribute-track coupling prediction model, and the obstacle attribute and the motion track are associated to carry out collaborative analysis, so that the defect of separation of dynamic obstacle attribute and track analysis in the prior art is effectively overcome, and an accurate attribute-track association basis is provided for anti-collision analysis.

The invention belongs to the technical field of public safety monitoring, and particularly discloses an abnormal behavior analysis and prediction system and method based on an unmanned aerial vehicle monitoring system, and the system comprises a feature extraction module which is used for extracting scene global and object visual and text semantic features through panoramic segmentation and CLIP; the interaction module is used for modeling space-time association through space-time pooling and an attention mechanism; the judgment planner splits abnormal correlation features and antagonism features and performs calibration; a prediction decoder guides dual path attention with a query vector, outputting a future anomaly probability. According to the method, a whole-process closed loop from video stream input to abnormal probability output is realized, the limitation that a traditional method can only detect occurred behaviors is broken through, the early warning timeliness is improved through end-to-end analysis, and the method is adaptive to a high-dynamic monitoring scene.

The invention relates to a mobile personnel security management method and system based on an intelligent lock, and the method comprises the steps: installing an intelligent lock and a personnel access monitoring device on a door where mobile personnel check in, enabling the check-in personnel to collect and register the identity information and human body biological characteristics in advance, enabling the intelligent lock to carry out the comparison of the biological characteristics, and opening the door to enter a room; the number of people entering and exiting the room, the number of times of entering and exiting and the entering and exiting time are automatically recorded and monitored in real time through the personnel entering and exiting monitoring device, data are transmitted to the local public security management system, and when abnormity is monitored, warning information is sent out and related personnel are notified to handle on-site. According to the invention, the confusion condition that one person registers other people to check in and one person registers multiple people to check in is avoided, room cards are not needed, the check-in experience of guests is improved, the supervision of floating people and the accurate attack of illegal and criminal behaviors can be facilitated, the public security management level of society is greatly improved, and the system has wide popularization and market application prospects.

1. The name of the design product: multifunctional waistcoat. 2. The use of the design product: worn on the body when on duty for public security, with the functions of carrying tools for duty and warning. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a thin product, and the bottom view, top view, left view and right view are omitted.

The invention discloses a judicial cooperation management mechanism and implementation method oriented to enterprise environment conservation motivation and constraint, and the mechanism comprises a multi-source environment conservation data center which is used for collecting and storing enterprise-related environment data from ecological environment departments, courts, procuratorials, public security and other related institutions in a real-time and standardized manner, the data at least comprises enterprise basic information, environment monitoring data, administrative penalty records, judicial referee information, rectification feedback information and a law-of-conservation credit rating. The problems of different evidence formats, information lag and repeated verification in an existing mechanism are solved through a unified evidence transfer rule, block chain evidence storage and a standardized mapping table, the collaboration period is shortened by 40% or above, the judicial credit collection accuracy is improved to 98% or above, and based on a three-dimensional layered label and an intelligent portrait model, the method is simple and convenient to implement. Differentiated excitation and pre-constraint are carried out on enterprises of different industries, scales and historical records, the law-keeping power of small, medium and micro enterprises is enhanced, and meanwhile potential risks are intervened in advance.

The application relates to the technical field of public security risks, and provides a community public security risk compensation measure generation method and system based on atlas retrieval enhancement generation. The method performs text segmentation and vectorization on obtained domain knowledge data in the field of public security risks, generates knowledge slices in the field of public security risks and corresponding knowledge vectors, and stores the knowledge slices and the knowledge vectors into a vector database; meanwhile, a domain knowledge atlas in the field of community public security risks is constructed, and an index relationship between the domain knowledge atlas and the knowledge vectors is stored in the vector database, so as to construct a domain knowledge base in the field of public security risks; then, a user risk query is analyzed through a large language model, risk elements related to the user risk query are searched in the domain knowledge atlas, and knowledge slices corresponding to the risk elements are searched in the domain knowledge base according to the index relationship, so as to generate public security risk compensation measures corresponding to the user risk query.

The utility model relates to the technical field of public security management and control, in particular to a temporary public security management and control isolation fence which comprises a first fence, a plurality of second fences, a first connecting block, a second connecting block, a hinge rod, a mounting box, a rotating shaft and a pawl. Ratchet wheels are fixedly connected to the surfaces of the two-way lead screws, knobs are fixedly connected to the top ends of the two-way lead screws, and disengaging devices are arranged on the surfaces of the pawls; during storage, the driving lever is pulled firstly and drives the pawl to rotate on the surface of the rotating shaft, separation between the pawl and the ratchet wheel can be achieved, accordingly, the rotary knob is rotated reversely to achieve opposite movement of the two first connecting blocks on the inner wall of the first guardrail, storage of the guardrail is achieved, and after storage is completed, the driving lever is loosened and drives the ratchet to limit the ratchet wheel again. The problems that a rotary knob and a two-way lead screw are prone to rotating due to mistaken touch, a hinged plate rotates to open a guardrail, and the storage and carrying effects are affected are solved.

The invention discloses an aerial Kongming lantern capturing and fire extinguishing device based on an unmanned aerial vehicle, and relates to the technical field of public safety protection, and the aerial Kongming lantern capturing and fire extinguishing device comprises a capturing assembly which comprises a telescopic rod and a hook arranged on the outer wall of the telescopic rod; the fire extinguishing assembly is arranged below the grabbing assembly and comprises a storage bin, an adjusting piece arranged on the outer wall of the storage bin and a spraying piece arranged on the outer wall of the adjusting piece; the connecting assembly is arranged on the outer wall of the grabbing assembly; the grabbing assembly, the fire extinguishing assembly and the unmanned aerial vehicle are connected through the connecting assembly, the grabbing assembly hooks the Kongming lantern, and flames of the Kongming lantern are extinguished through the fire extinguishing assembly. By arranging the connecting assembly, the grabbing assembly and the fire extinguishing assembly are connected with the unmanned aerial vehicle, a rigid ring frame at the bottom of the Kongming lantern floating in the air is hooked through a hook, fire extinguishing materials in a storage bin are sprayed through a spraying piece, flames are rapidly extinguished, wreckage is safely brought back, and the risk of secondary pollution or wreckage falling is avoided; and the safety and the reliability of the disposal operation are obviously improved.

The application discloses a method, device and medium for notarizing premarital property based on a blockchain, comprising: establishing a blockchain for storing premarital property information, wherein nodes of the blockchain at least include one of a public security organ, a procuratorate, a court and a notary office; receiving the premarital property information of a user; calling data processing logic of the blockchain, sending the property status information to the notary office for notarization; and writing the notarized premarital property information into the blockchain. The application uses the characteristics of transparency and non-tamperability of the blockchain to record notarization information of premarital property of both parties in a marriage, and guarantees fairness and authority of such information. Meanwhile, the blockchain information network is used to create a unified information data management platform, facilitating standardized management of information.

The present application belongs to the technical field of information security, and particularly relates to a BLS traceable security threshold signature method and system based on distributed key generation. The method comprises the following steps: S1, generating a bilinear pairing environment, and initializing public security parameters; S2, determining a group mapping relationship based on a symmetric balanced incomplete block design, each participant interacting in a group to generate respective key shares and a system global public key; S3, a signer performing partial signature and zero-knowledge proof corresponding to the partial signature on a message according to the corresponding key share; S4, an aggregator collecting and verifying the partial signature, screening out an effective signature set, aggregating to generate a final signature, and generating a commitment ciphertext; S5, a verifier verifying the final signature, and confirming the signature as valid if the verification is passed; S6, when the verification is not passed, a tracing mechanism is activated, and a tracer traces the signature group; and S7, according to the group mapping relationship, regularly performing active refreshing of the key shares.