182 results about "Public security" patented technology

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 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 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 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 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 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 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.

Aspects of the subject disclosure may include, for example, selecting a frequency band for user equipment in a mobile network based on a service to be accessed by the user equipment, selecting an infrastructure core network from a plurality of available infrastructure core networks, selecting a service core network from among a plurality of available service core networks. Artificial intelligence or machine learning may assist in all selections. Other embodiments are disclosed.

Particular example embodiments described herein can provide for a system, an apparatus, and a method for analyzing a communication from an electronic device to a public-safety answering point (PSAP), determining a harassment confidence score that indicates a likelihood the communication is a harassment communication, and sending the communication and the determined harassment confidence score for the communication to a human operator at the PSAP. In some examples, the harassment communication is a swatting attempt.

The application discloses an identity card offline intelligent identification and correction system for public security actual combat, relates to the technical field of image processing and artificial intelligence, and comprises an image input module, an image correction module, an OCR identification engine module, an intelligent field extraction module, a backend reasoning core, a front-end interaction interface, a standardized output module and a local storage unit, and all calculations are completed on a local terminal and are independent of a network; the overall execution process is as follows: S1, image input; S2, certificate detection and correction; S3, text detection; S4, character recognition; S5, field extraction; and S6, result output. The identity card offline intelligent identification and correction system for public security actual combat adopts a full offline localization architecture, all image acquisition, model reasoning, data identification and result output are completed on a local terminal, are independent of a network and do not upload to a cloud, the risk of public security sensitive information leakage is avoided from the root, and the data security and confidentiality are significantly improved.

The invention relates to the field of data processing, and particularly discloses a multi-dimensional data processing system and method for public security management, and the method comprises the steps: firstly obtaining a public security area monitoring video collected by a camera and public security management feedback text information uploaded to a cloud platform by a user, and then carrying out the deep learning technology, and feature extraction and correlation analysis are carried out on the public security information and the public security information, and finally a classification result is obtained through a classifier to judge whether a public security management early warning is sent, so that the accuracy and timeliness of public security management are improved, and the modernization and intelligentization of a public security management system are promoted.

This invention discloses a method and system for full life-cycle management of roads and bridges, relating to the field of road and bridge technology. The method includes acquiring the BIM model of the bridge during the design phase and structural state data and environmental-load data for each stage of the bridge's life-cycle, and constructing a unified model for structural performance degradation. A performance function is generated through multi-factor temporal coupling processing. The performance function is then spatiotemporally aligned and fused with the BIM model, structural state data, and environmental-load data for each stage of the bridge's life-cycle to form a digital structural ontology. Structural state data is extracted from the digital structural ontology, and a dynamic knowledge graph with semantic reasoning capabilities is constructed to output the structural health status. Based on the performance function and structural health status, the failure probability trend is determined and high-risk components are identified, taking into account the bridge's road network level, design capacity, and preset weights for traffic interruption losses, public safety risks, and ecological environment disturbances.

The application discloses a gun positioner wireless charging method and system and a charging seat, relates to the technical field of public safety intelligent equipment, and realizes real-time and synchronous acquisition of charging seat sensor array data and charging process parameter data; according to an in-place monitoring signal, an RFID induction circuit reads data of an RFID label built in a positioner, data binding is completed in combination with a preset gun number database, and a real-time gun number-charging state binding result is generated; the binding result and the charging process parameter data are constructed into structured charging state data flow and transmitted to a remote server to generate a remote instruction; and based on the remote instruction, a charging control instruction is dynamically generated through an adaptive control algorithm. The application realizes unique binding of a gun number and a charging state through RFID label binding and a double sensor, eliminates data mismatch caused by position change, compares pressure and infrared signals to verify that the positioner is in place, solves the problems of missing identity recognition and rigid in-place detection, and improves the accuracy of gun management.

The present application relates to the technical field of electrical fire detection and positioning, and relates to an electrical fire early precise detection and positioning device based on multi-parameter fusion, which obtains data of a power distribution system, constructs a current power distribution topology network model according to on-off states, and then divides monitored and unmonitored branch set; calculates the abnormal contribution degree value of the unmonitored area; when the contribution degree exceeds a preset threshold, the unmonitored branch set is locked as a fault candidate area according to the power distribution topology network model, and electrical state inference is performed from the multi-level perspective of the whole and local correlation of the system, which significantly improves the accuracy and timeliness of fault identification in the unmonitored area, reduces the risk of large-area power failure caused by fault spread, further avoids possible production interruption and economic loss, and also helps to reduce the potential threat to public safety and the environment caused by secondary accidents such as electrical fires.

1. The name of the design product: laser searchlight. 2. The use of the design product: the design product is used for lighting in various outdoor work such as railway, public security, traffic, power grid, inspection and repair, and can also be used for industrial lighting, commercial lighting and civil lighting. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model relates to the technical field of public security management, and discloses an unmanned aerial vehicle storage station for public security management, which comprises a base, a sealing door, a cabinet body and a storage plate, electric cylinders A are mounted at the two ends of the top of the base through mounting seats, output shafts of the electric cylinders A are connected with a cabinet body through butt joint discs, electric cylinders B are mounted at the top of the cabinet body through mounting seats, connecting plates are mounted on output shafts of the electric cylinders B through mounting holes, and a sealing door is mounted on one side of each connecting plate through screws; a penetrating opening is formed in one side of the cabinet body, the sealing door is located in the penetrating opening, a dehumidifying opening is formed in the upper end of the back side of the cabinet body, and a dehumidifying fan is installed in the dehumidifying opening through an installation base; according to the unmanned aerial vehicle storage station for public security management, automatic opening and closing of the sealing door can be conveniently achieved, dehumidification is automatically achieved, and the situation that storage of the unmanned aerial vehicle is affected due to the fact that moisture in the storage station is large is avoided.

This invention discloses an intelligent building security monitoring method, relating to the field of security monitoring technology. This intelligent building security monitoring method divides the public security area into standardized monitoring grid units, establishing a unified minimum scheduling unit for all network cameras and perimeter radars across the entire area. Then, by calculating the monitoring demand intensity of each monitoring grid unit, a unified quantitative basis is provided for the scheduling of equipment across the entire area. By traversing the device configuration grid by grid, for single-device scenarios, the baseline parameters corresponding to the maximum monitoring range are directly used as the optimal monitoring parameters. For dual-device scenarios, under unified collaborative constraints, the network camera parameters are first adjusted to identify areas not covered by video surveillance, and then the perimeter radar parameters are specifically adjusted to fill in the uncovered areas. This achieves standardized and unified scheduling of security equipment across the entire area, with no coverage gaps and no invalid overlaps, resulting in optimal collaborative control across the entire area.

The invention relates to the field of public safety. The invention discloses a suspected target avoidance behavior pattern recognition method, which comprises the following steps: abnormity study and judgment: S1, quantifying a target trajectory space-time entropy, and distinguishing abnormal and non-abnormal behaviors; and S2, analyzing a track missing area by using a mining algorithm, identifying information black holes, and generating an abnormal target list. Abnormality early warning: A1, according to a black hole surrounding track and a background element, a target position path in a black hole is assumed; a2, establishing a recurrence period model to identify abnormal access; and A3, determining a suspicion schedule in combination with movement continuity and a recurrence period, and assisting interception monitoring. The method is divided into two stages of anomaly study and judgment and early warning, breaks through the limitation of a traditional technology, identifies a suspected target by taking an information black hole as a core and by means of space-time entropy, space-time prisms and the like, and fills the blank of no observation area behavior mining; the two-stage framework converts data into intelligence, constructs a new analysis system, expands location big data application, and improves public security dynamic management and control and interception efficiency.

The invention discloses a dense target positioning method based on module optimization, and the method comprises the steps: generating a foreground confidence graph through introducing a DINOv2 encoder and a context perception classifier, and generating a point prompt based on the foreground confidence graph to guide an SAM model to pay attention to a human head region. According to the method, the adapter module is embedded in the segmentation trunk of the SAM model, so that the structure perception and detail modeling capability is enhanced. And by adopting a post-processing module based on region segmentation of a watershed algorithm and a minimum enclosing rectangle supplement strategy, the problems of target shielding and overlapping are effectively solved. Through experimental verification of various data sets, the positioning method provided by the invention is superior to the existing mainstream method in indexes such as F1 score, precision and recall rate, and shows strong cross-scene adaptive capacity. The method not only improves the positioning precision under dense crowds and complex backgrounds, but also has high cross-scene adaptability, and is widely applied to the fields of public safety, urban traffic management, large-scale activity analysis and the like.

The invention discloses a public safety agent perception planning control system and method, and the system comprises a multi-mode perception module, an intelligent planning module, a precise control module, and a model training and optimization module. The intelligent planning module and the multi-modal sensing module are respectively connected with the precise control module, and the model training and optimizing module is respectively connected with the multi-modal sensing module, the intelligent planning module and the precise control module. The invention aims to endow various public safety equipment and systems with accurate environment perception, efficient task planning and reliable action control capabilities, thereby improving the intelligent management level in the public safety field, effectively coping with safety challenges in complex scenes such as crime prevention, disaster emergency disposal and crowd-intensive place management and control, and improving the safety of the public safety equipment and systems. And a solid technical support is provided for guaranteeing the social public safety.

The utility model discloses a security device of public safety equipment, and relates to the field of public safety equipment. The device comprises a protection supporting piece, the protection supporting piece is used for supporting the access control equipment, a protection semi-ring block is installed at the top end of the protection supporting piece and comprises a fixed ring plate, an arc-shaped rainproof shade and an arc-shaped light shield, and the fixed ring plate is installed at the top end of the protection semi-ring block and used for shielding rainwater at the top; the arc-shaped rainproof shade is slidably connected in the protective semi-ring block, and the arc-shaped light shield is also slidably connected in the protective semi-ring block. The device is used for enhancing the anti-falling capacity of the entrance guard supporting column, in addition, by arranging a slidable protection semi-ring block, the arc-shaped light shielding cover can be opened when a strong light source exists at night, and the arc-shaped rain-proof light shielding cover can be opened for targeted protection in rainy days such as severe convection weather, so that the anti-falling capacity of the entrance guard supporting column is improved. Therefore, the access control can still play the function of the public safety equipment under various conditions.

The invention discloses a pedestrian dynamic modeling method and device considering panic emotion and a medium, and the method comprises the steps: firstly completing spatial discretization, static field calculation and obstacle processing through scene initialization, determining the distance from a grid to an exit through Euclidean distance, generating a static field value, and determining the spatial constraint of pedestrian motion; then, in a pedestrian motion calculation link, a multi-dimensional dynamic coupling panic factor quantification system is innovatively constructed, crowd density, environmental stimulation intensity, distances between pedestrians and stimulation sources and the like are synthesized, accurate quantification of panic emotions is achieved through a distance attenuation and time attenuation mechanism, and the panic emotions are deeply bound with motion parameters. According to the method, through deep fusion of the panic emotion and the OSM model, irrational behaviors and differentiated movement tracks of pedestrians in an emergency scene are effectively reproduced, the simulation precision of a complex evacuation scene is remarkably improved, a scientific quantitative basis can be provided for evacuation scheme optimization and crowd management and control strategy formulation, and the method is of great significance in improving the public safety management level.

1. Name of the designed product: Explosive-removing robot (large). 2. Use of the designed product: Used for removing dangerous goods and explosives in public security and army. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The utility model relates to security equipment technical field discloses a riot control equipment rack, including base, base is U type frame structure, the vertical shield lock support is equipped on the bottom plate of base, is equipped with shield lock on shield lock support, the inside lateral of one side board is equipped with riot control steel fork lock support, is equipped with at least one steel fork placement hole and riot control steel fork lock on riot control steel fork lock support, the inside of base is equipped with electric control module, electric control module is connected with shield lock, riot control steel fork lock communication, electric control module has remote control equipment and is connected wirelessly, and the electric control module is awakened through remote control equipment and realizes the unlocking of shield lock, riot control steel fork lock. The utility model is used for respectively independent storage of the most commonly used riot control shield, riot control steel fork in public security riot control work, and the electric control module, special lock are configured to lock and control independently to each riot control equipment, protect riot control equipment, reach the purpose of riot control equipment accurate application, on-demand use.

The embodiment of the invention discloses a public security and traffic management integrated processing method and system and a computer storage medium, and the method comprises the steps: collecting original sensing data which at least comprises vehicle data, road test sensing data and traffic participant data; preprocessing the collected original sensing data to obtain preprocessed target data; performing fusion processing on the target data to obtain multi-source heterogeneous fusion data; traffic events are identified and supervised according to the multi-source heterogeneous fusion data; and visually displaying the identification and supervision result, and providing a traffic control processing strategy corresponding to the identification and supervision result.

This invention discloses a multimodal perception-based intelligent integration system and method for duty information, specifically relating to the field of public security duty information processing technology. It addresses the problem of mismatch between existing front-end data compression methods and the specific task requirements of back-end big data analysis platforms, leading to the loss of key feature information and affecting analysis reliability. By parsing task instructions to form a feature requirement set, and based on this, evaluating the task contribution and cross-modal collaborative gain of the original perception data, it intelligently generates a compression control strategy tailored to the current analysis task. Finally, it performs differentiated compression and reorganization of the original data, forming a task-optimized data stream that is fed back to the back-end platform. This improves the value density and analytical relevance of the returned data, effectively ensuring the efficiency and accuracy of the back-end big data analysis platform under resource-constrained conditions.