172 results about "Evidence collection" patented technology

The invention provides a multi-agent cooperative processing system and method for multi-scene legal complaint consultation, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a legal or complaint consultation text inputted by a user, and generating structured consultation request data; automatically generating an evidence obtaining template, and forming a standardized evidence obtaining data packet; constructing a demonstration tree and outputting a multi-scheme decision matrix; performing multi-objective optimization by combining the success rate, the timeliness, the cost and the regional qualification index, and outputting a comprehensive recommendation result; generating a knowledge unit set, and updating a regulation index and agent prompt template library; predicting a re-complaint risk and generating a remedy and optimization suggestion; and outputting review result data, and reversely updating the review result data to the agent configuration strategy in the step of the knowledge construction module. According to the method and the device, the technical targets of multi-agent cooperative processing and dynamic optimization management in the whole legal complaint consultation process can be realized, and the technical effects of improving consultation processing efficiency, enhancing scheme recommendation accuracy, reducing manual participation cost and ensuring data compliance and risk controllability are achieved.

The invention discloses a building construction quality on-line monitoring system based on digital twinning, particularly relates to the field of building engineering informatization, is used for solving the problem of quality judgment deviation caused by dislocation breakpoints of multi-source evidences on a construction site, and is characterized in that a process event label is triggered through an event anchoring module to limit a window boundary and record an event identifier; the object binding module is used for immediately binding and generating object event table alignment records according to a component identity list and a positioning line, and the sequential judgment module is used for extracting a video key point frame and a sensing track, calculating an action synchronization difference and a form coincidence difference, constructing a deviation sequence and inputting the deviation sequence into a single-side CUSUM to obtain a judgment signal and fragment positioning; the judgment issuing module reads a signal calling rule base to generate quality judgment disposal guidance and recheck script issuing execution, and the recheck write-back module receives result write-back, lightly updates a fragment boundary and responds to a neighborhood record version to realize compact transmission from evidence obtaining to judgment execution to write-back so as to form a stable and traceable quality closed loop.

The invention relates to the technical field of VR panoramic road safety illegal behavior snapshot scheme design, in particular to a VR panoramic road safety illegal behavior snapshot method and system. The method comprises the following steps: acquiring an intersection panoramic video stream through a single panoramic device; illegal evidence obtaining is triggered based on space overlapping of the vehicle track and the electronic fence; synchronously judging a red light running behavior by combining a signal lamp state; identifying retrograde motion by comparing the motion vector with the lane direction vector; all-weather overspeed monitoring is realized by using a millimeter wave radar; and generating an evidence packet containing the two-dimensional panorama and the three-dimensional reconstruction model. The system is composed of a panoramic acquisition module, an electronic fence module, a behavior analysis module, an illegal evidence obtaining module and a data communication module. The method has the core advantages that all-intersection coverage is achieved through single equipment, the illegal recognition accuracy is improved through multi-source data fusion, the evidence effectiveness is enhanced through the three-dimensional reconstruction technology, and the law enforcement cost and the dispute risk are remarkably reduced.

The invention discloses a natural resource big data off-line comprehensive analysis, annotation and proof system and method, and belongs to the technical field of natural resource informatization and geographic information processing. The system comprises the following components: a spatial data fusion module, which is used for realizing unified management and efficient processing of heterogeneous spatial data; the spatial index optimization module is used for realizing quick retrieval and high-performance query optimization of spatial data; the intelligent annotation and arrangement module is used for realizing low-code rapid configuration and business process automatic arrangement of different natural resource investigation scenes; the off-line analysis module is used for realizing buffer area analysis, space superposition and terrain analysis in an off-line environment; the real-time visualization module is used for realizing multi-level map display, track recording, vector element editing and multimedia evidence collection; and the data quality management module is used for realizing automatic quality inspection of geometry, topology and attributes and statistical analysis, version control and export management of annotation results.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a wide-area reconnaissance and hovering fine investigation cooperation method and system for putting multiple rotors into a fixed wing, and provides the following scheme: a mother aircraft executes a wide-area reconnaissance task, generates a fine investigation task based on a wide-area clue, and encodes the fine investigation task into a plurality of task seeds; the task seeds comprise task skeleton information and rule information; task seeds are mapped into a complementary evidence collection combination through a complementary codebook, and wingman distribution is formed by combining wingman capabilities; and the wing aircrafts complete task pre-compilation before delivery, and expand and execute hovering fine check based on rules after delivery. According to the method, complementary collection of the accurate verification evidence can be realized under the condition that the multiple wing aircrafts are parallel, redundancy is reduced, and the resource utilization efficiency and the task execution reliability are improved.

The invention relates to an address processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining a positioning address corresponding to a positioning coordinate; if the first text similarity value of the positioning address and the order address is smaller than a similarity threshold value, searching a plurality of candidate positions, wherein the distances between the candidate positions and the positioning coordinates are smaller than a first distance threshold value; obtaining a candidate address corresponding to each candidate position; according to the second text similarity value of each candidate address and the order address, determining a plurality of recommendation addresses in each candidate address, and displaying each recommendation address; and in response to the selection operation, determining a target address in each recommended address. By adopting the method, the auditing difficulty of authenticity verification through field evidence collection can be reduced, and the labor cost is saved.

The invention provides an intelligent law enforcement evidence obtaining method and system based on comprehensive information integration, and relates to the technical field of data processing, and the method comprises the steps: synchronously obtaining the original data of a photoelectric evidence obtaining device, a navigation radar, a ship automatic recognition system and a unification device through a multi-source data collection interface, and protocol analysis and standardization processing are carried out to form a unified structured data stream. Space-time fusion of the radar track and the AIS information is realized based on the data stream, a fusion target object is generated, and a dynamic situation target set is constructed; utilizing the abnormal behavior model to automatically identify suspicious behaviors and outputting an alarm; identifying a target type and a board number in combination with the photoelectric video stream, and updating or newly adding a ship file; meanwhile, a photoelectric guiding instruction is generated through azimuth calculation, and automatic target tracking and video collection are achieved; and finally, performing time correlation and integration on the multi-source data, generating a law enforcement evidence chain and automatically outputting an evidence obtaining report. The efficiency of the law enforcement evidence obtaining process can be improved.

The invention relates to the technical field of natural language processing and artificial intelligence, in particular to an open domain question and answer task processing method and a comprehensive processing framework system. A complete, reliable and explainable reasoning chain from an original question to an explicit reasoning basis and then to a final answer is constructed. According to the framework, the accuracy and robustness of a question answering system are remarkably improved, and the illusion problem of a large language model in an open domain scene is effectively relieved. According to the method, through three innovation mechanisms of question enhancement, collaborative evidence collection and multi-stage abstract integration, substantial technical progress is made in the aspects of accuracy, robustness, interpretability, information integration capability and the like, and an effective solution is provided for constructing a high-reliability large language model open domain question-answering system.

The invention belongs to the technical field of fire investigation, and particularly discloses a smoked airflow direction judgment method and system based on a camera and a program product, which are low in equipment threshold and low in cost, can complete field smoked airflow direction judgment without depending on expensive equipment and instruments, and can reduce the misjudgment rate and improve the detection efficiency compared with a pure experience visual inspection judgment mode. The efficiency and the accuracy are obviously improved; quantitative output can be achieved, subjective visual inspection is avoided, and repeatability is good; illumination and material difference interference can be resisted, and systematic errors caused by exposure and surface reflectivity difference are reduced; normal vectorization and superposition are carried out from the smoke back side to the smoke receiving side of each measuring point, a main direction sector can be directly obtained, and direction judgment is visual; a conclusion can be quickly drawn, the method is suitable for large-area and time-sensitive field evidence collection, transparent and reviewable uncertainty expression and basis can be provided, and judicial credit collection is facilitated; the method is wide in application range and high in expandability, can be compatible with existing image data, and improves the utilization rate of existing case images.

This utility model provides a fixing device for mounting a shooting device, including an antenna, a fixing mechanism for fixing and connecting the shooting device, and a connecting mechanism. The fixing mechanism includes a fixing base, an adjustment component rotatably mounted on the side wall of the fixing base, and two clamping arms disposed on opposite sides of the fixing base for clamping the shooting device. A fixing hole is provided through the fixing base. The connecting mechanism includes a connecting base and a signal transmission component disposed on the connecting base for electrically connecting the shooting device. The surface of the connecting base facing the fixing base is recessed inward to form a connecting groove for mounting the signal transmission component. The fixing device provided by this utility model ensures the stability and reliability of the connection between the shooting device and the antenna, thereby ensuring stable antenna signal transmission, ensuring the continuity and credibility of key data, and thus ensuring the effectiveness of law enforcement evidence collection and improving work efficiency.

The application discloses a natural resource field evidence collection task generation method and device, relates to the technical field of task generation, and is applied to an evidence collection scene visualization building platform. The evidence collection scene visualization building platform stores a preset evidence collection database and a preset template warehouse. The method comprises the following steps: responding to a building request of a user for a natural resource field evidence collection task; analyzing the building request, and determining to-be-generated evidence collection task information; querying corresponding evidence collection data from the preset evidence collection database according to the to-be-generated evidence collection task information; selecting a target task template from the preset template warehouse according to the evidence collection data; performing evidence collection task configuration on the target task template by using the evidence collection data, and generating the natural resource field evidence collection task. Through the automatic process, the generation efficiency of the natural resource field evidence collection task is improved, and the complexity and error rate of manual operation are reduced.

A work evidence collection system, a computer-readable recording medium, and a program product collect highly reliable work evidence without communication at a work site in a system for collecting work evidence, which is evidence of a work date and time. A work evidence collection system for collecting work evidence as evidence of the work date and time of a worker is provided with an information terminal device having a display device, and an imaging device. The information terminal device is a portable terminal device, acquires current time information, generates a display screen including time display of the time information, and displays the generated display screen on a display device. The imaging device is held by an operator and records imaging data obtained by imaging a display device of the information terminal device at a work site. The imaging device is, for example, a wearable camera, and records imaging data obtained by imaging a view direction of a worker.

The invention provides a low-altitude security detection countering law enforcement networking cooperation method and system, and relates to the technical field of low-altitude security management, and the system comprises an initial positioning module, a cooperative network generation module, a processing instruction execution module and a law enforcement execution module. The method comprises the following steps: determining initial positioning information of a threat target through a command center according to initial detection data collected by fixed and mobile detection points; screening nearby cooperative nodes based on the initial positioning information, and dynamically generating a local cooperative processing network; according to the real-time state data and the dynamic positioning information, a differential processing instruction is issued to a specific node to execute collaborative evidence obtaining, countering or tracking actions; assigning an optimal law enforcement terminal to execute a law enforcement action according to the processing result data; according to the invention, rapid discovery, accurate positioning, co-processing and normative law enforcement of the low-altitude threat target are realized, and the response speed, the processing precision and the law enforcement reliability of low-altitude safety management and control are effectively improved.

The application provides an accident responsibility intelligent judgment method and system fusing video tracking, comprising: S1 aligning video with IMU, GPS and OBD for evidence collection, adopting frame hashing, chain hashing and timestamp to form an evidence chain; S2 completing detection segmentation on a shared main branch network; S3 realizing cross-frame association by combining appearance re-identification and motion model, and outputting trajectory, speed and occlusion recovery; S4 mapping the trajectory to BEV according to depth and calibration, and constructing a space-time scene graph by fusing lanes, signals, speed limits and the like; S5 extracting events such as lane changing, merging and signal violation, and positioning conflict points and yielding relationships; S6 generating fault factors according to a rule base and priority; S7 quantifying responsibility proportion according to weight, collision participation and reaction time; and S8 generating a report for storing evidence of key frames and rule lists. The system comprises collection and evidence collection, video understanding and tracking, space-time reconstruction, event extraction, rule reasoning, responsibility quantification and report storage modules.

The application relates to the technical field of unmanned aerial vehicles, in particular to an unmanned aerial vehicle illegal parking evidence collection planning method, system, device and storage medium. The unmanned aerial vehicle illegal parking evidence collection planning method comprises the following steps: detecting a target region to be collected by an acoustic radar, collecting vehicle size, surrounding obstacle distribution and road attribute data in real time, and generating point cloud data; based on the point cloud data, a three-dimensional environment model containing multi-dimensional information of a vehicle to be collected, surrounding obstacles and road attributes is generated in real time; based on the three-dimensional environment model, a hovering point of an unmanned aerial vehicle sample and a pitch angle and a focal length of a cloud camera are calculated in real time, and a flight route of the unmanned aerial vehicle is dynamically generated. The application can dynamically generate a flight route and camera shooting parameters of the unmanned aerial vehicle illegal parking evidence collection, and improve the adaptability, efficiency and accuracy of the unmanned aerial vehicle in detecting illegal parking in a complex urban environment.

The invention relates to the technical field of computer information processing, and provides a financial process full-chain tracing system based on a block chain, and the system carries out the unified association of scattered process events through a responsibility chain identification mechanism with a business original initiator as a core, and builds a continuous and traceable process responsibility chain structure. On the basis, the time evolution relationship and the responsibility transfer relationship of the process event are solidified into a chain hash structure, and non-tampering evidence storage is realized in combination with a distributed account book technology, so that the authenticity and the integrity of process evidence are improved; meanwhile, an intelligent discriminant analysis mechanism oriented to a flow structure is introduced, graph structure modeling is conducted on the responsibility chain, and automatic identification and risk assessment of abnormal flow behaviors are achieved; according to the invention, traceability, verifiability and analyzability of the financial process are realized, and technical support is provided for financial verification, auditing evidence obtaining and risk management.

This invention relates to the field of blockchain technology and provides a blockchain-based copyright evidence management method and system. The method includes: comparing the current fragment-level evidence storage time offset with a threshold inflection point; when the offset exceeds the threshold inflection point, generating a corresponding correction factor based on the degree of excess; and correcting the fragment-level redundant evidence storage strength of the target government video archive based on the correction factor. This invention addresses the impact of fragment-level evidence storage time offset on subsequent evidence collection, auditing, or liability determination comparison results in multi-platform distribution and authorization scenarios. It proposes a method to construct the relationship between fragment-level evidence storage time offset and fragment correspondence matching error rate based on historical evidence storage samples. By identifying the threshold inflection point, it transforms time offset differences that were originally considered to be within a tolerable range into quantifiable control criteria.

This invention discloses a blockchain-based evidence storage hardware device for on-site auditing and evidence collection, belonging to the field of audit information technology. The device includes a main control processor, a multimedia acquisition unit, a satellite positioning module, a trusted timestamp module, a blockchain light node chip, a secure storage unit, a communication interface module, a power management module, and an anti-tamper detection module. The core innovations are: hash operations, timestamp generation, and on-chain writing are all completed in a dedicated chip trusted execution environment, with the private key bypassing the software layer; the timestamp module has a built-in hardware clock source calibrated with the National Time Service Center; the positioning module provides hardware-level spatial coordinates; data hash, timestamp, and coordinates are bound together and signed onto the blockchain to form an immutable evidence record; the anti-tamper module triggers private key erasure during unauthorized disassembly; the acquisition unit supports multimodal evidence collection and can embed digital watermarks. This invention achieves the goal of immediate evidence storage upon acquisition and a complete and verifiable evidence chain, enhancing the legal validity of audit evidence.

This invention relates to a knowledge graph question answering method and system based on knowledge subgraph retrieval and multi-agent collaboration. The overall architecture of this method consists of three core stages: the first stage is training a knowledge subgraph retrieval device based on gated flow propagation; the second stage is adaptive knowledge subgraph extraction oriented towards user questions, receiving user questions and outputting adaptive knowledge subgraphs related to the questions; the third stage is multi-agent collaborative reasoning based on structured evidence archives, completing question parsing, evidence collection, and answer evaluation within the subgraph, ultimately outputting the answer and an interpretable evidence chain. This invention designs a subgraph retrieval device based on time-state grids with gated flow propagation; simultaneously, it achieves adaptive dynamic adjustment of the subgraph size through a distribution-aware clustering algorithm, reducing information irrelevant to the user question while ensuring the integrity of key reasoning paths.

The application discloses a kind of multi dual-spectrum camera network cascading motion trajectory analysis methods, it is related to trajectory analysis technical field, for solving the technical problem of target cross lens trajectory tracking under complex scene;Through the networking cooperation of multiple dual-spectrum cameras, cross-view continuous tracking of target and motion trajectory reconstruction are realized, innovatively adopt discrete quality level to carry out the gating splicing of trajectory segment, ensure that trajectory fusion process is accurate and reliable;Conflict detection and evidence backtracking mechanism are introduced, the reliability and auditability of trajectory association are guaranteed, and commitment archiving and on-demand evidence collection process are designed to meet the actual monitoring evidence management requirements;The method can enable a reliable multi-camera cross-domain trajectory analysis system for the skilled person in the art, significantly improve the intelligence and reliability of monitoring target trajectory extraction and evidence management.

A mobile security robot system is disclosed comprising a robot vehicle with pressurized fluid canisters, rotatable spray mechanisms, and a software control system for sensor-based or operator-triggered activation. An integrated invisible ink application module enables covert suspect tagging, while an automated refill interface allows docking with a fluid station for replenishment. The system provides non-lethal deterrence, evidence gathering, and optional environmental uses including plant hydration and wildlife deterrence.

This application proposes an intelligent question-answering analysis method and system for electronic evidence data based on a large model. The large model inputs user requests for intent recognition. Based on the intent recognition results, the large model invokes a case knowledge base, a big data analysis function invocation module, and a Text2SQL module for intelligent question-answering analysis. The Text2SQL module semantically supplements and understands the user's colloquial query requests, correcting the intent recognition results. The big data analysis function invocation module routes user requests to the corresponding function categories based on the content characteristics of the user requests and executes the invocation. The case knowledge base optimizes and sorts the search results and summarizes the results using the Retrieval Enhancement Generation (RAG) technique. The evaluation agent in the dynamic fence module performs quality assessment on the question-answering analysis results and returns a satisfactory result. This application significantly improves the accuracy of electronic evidence collection systems in locating relevant case data and reduces the complexity of electronic evidence collection work.

The application relates to the field of speed measurement radars, and discloses a radar device capable of extending core components for high-speed evidence collection, which comprises a bottom plate, a fixed frame is fixedly connected to the top surface of the bottom plate, a through slot is formed in the front surface of the fixed frame, a speed measurement data display plate is in contact with the inner wall of the through slot, and a speed measurement radar is arranged on the front surface of the speed measurement data display plate. The problem to be solved by the application is that in rainy weather, moisture can easily enter the device through the gap between the speed display plate and the shell, which can easily cause damage to the internal circuit of the device. The application is composed of an expansion mechanism and a sealing mechanism. When the two C-shaped clamping plates are deflected towards each other, one side of the sealing block is extruded, so that the two sealing blocks move towards each other and touch and seal the connection between the speed measurement data display plate and the through slot, thereby ensuring the sealing property between the speed measurement data display plate and the through slot after installation and resetting.

The embodiment of the invention provides an auxiliary proof-giving method, an auxiliary proof-giving system, electronic equipment, a storage medium and a computer program product. The auxiliary proof-proof method comprises the following steps: acquiring right protection request content corresponding to a to-be-proof right protection event; performing case analysis on the right protection request content to obtain a right protection category positioning result matched with the right protection event; retrieving a preset checking template based on a right protection category positioning result to obtain a proof item list for the right protection event; and executing a verification task corresponding to the proof item list based on a mode of iteratively retrieving a preset knowledge base, and obtaining a proof suggestion report corresponding to the right protection event for guiding the user to provide a proof. According to the method, an iterative autonomous retrieval mechanism is driven by a task, an analysis process of manual gradual evidence collection is simulated through multiple rounds of query, and compared with a manual dominant evidence collection process, the evidence collection efficiency is improved, and the recall rate and the accuracy of key evidence are effectively improved.

The invention relates to the field of campus safety prevention and control, and discloses an AI construction campus safety prevention, intervention, evidence obtaining and treatment system and method. The system comprises a data acquisition and alarm subsystem used for outputting monitoring alarm information based on acquired monitoring information; the scene data and business rule configuration subsystem is used for receiving or configuring business rule data and basic information of campus teachers and students; the alarm information analysis subsystem is used for generating personnel alarm information based on the monitoring alarm information and sending an intervention processing instruction based on the personnel alarm information and the business rule data; wherein the personnel alarm information comprises the type of the potential safety hazard event and / or the basic information of a party in the potential safety hazard event; and the intervention device is used for executing field intervention operation in response to the intervention processing instruction so as to perform suppression intervention on a potential safety hazard event corresponding to the personnel alarm information. The physical and psychological safety of students in the campus can be better protected, and the improvement of quality and academic records is facilitated.

This invention relates to an RPA cluster anomaly attribution analysis method, belonging to the field of RPA anomaly handling technology. The method includes: for each RPA process in the RPA cluster, splitting the RPA process into multiple preset process breakpoints, setting anomaly verification rules and evidence collection methods for each process breakpoint, and identifying the first abnormal process breakpoint according to the breakpoint sequence; collecting evidence of the first abnormal process breakpoint and constructing an abnormal process breakpoint fingerprint; collecting the abnormal process breakpoint fingerprints of the first abnormal process breakpoint of each RPA process in the RPA cluster within a preset time window; and performing attribution analysis on all the first abnormal process breakpoints collected within the preset time window to obtain the anomaly cause. Compared with existing technologies, this method can improve the accuracy and processing efficiency of RPA cluster anomaly attribution.

The invention relates to the technical field of electric power spot transaction, and particularly discloses a data acquisition device supporting electric power spot transaction, which comprises a control terminal, an intelligent electric meter and an execution mechanism, the control terminal is deployed in a monitoring center machine room of a power management department; the intelligent electric meter is embedded into a user exclusive electric meter box and is connected in series between an incoming line and an outgoing line of a power supply line, and a protection mechanism is arranged in the intelligent electric meter and can detect power loss; and the execution mechanism stops at a robot base station in an area. According to the data acquisition device supporting the electric power spot transaction, the problems of metering data distortion and settlement disputes in the spot transaction are solved through real-time data interaction and tamper-proof evidence storage, hardware support is provided for fair transaction of the electric power market, and the data acquisition efficiency is improved through the design of intelligent detection, automatic evidence obtaining and self-adaptive locking. The electricity larceny discovery time and the disposal response time are shortened, the anti-damage capability is achieved, the labor cost is reduced, and the operation and maintenance efficiency is improved.

The application provides a smart networked vehicle accident evidence storage and responsibility determination system and a retrieval method. The system comprises a blockchain network module, an intelligent contract module, a blockchain gateway module, a traffic management department evidence collection module and an SCMS link value query module. The blockchain gateway module is used for obtaining communication messages of a vehicle-mounted unit, forming structured evidence storage data and uploading the data to a blockchain intelligent contract. When an accident occurs, the accident is reported to the blockchain intelligent contract, and an accident evidence collection request is sent to surrounding vehicles. After receiving the request, the surrounding vehicles upload their link values to the intelligent contract. After receiving the reported accident and the link values, the traffic management department transmits the link values into the SCMS system, obtains all the link values of the vehicle being collected within the same time period, combines the link values and the accident time, calculates the retrieval key of all possible messages within the space-time range of the accident, and transmits the retrieval key into the blockchain network through a filter and an on-chain mapping query to retrieve relevant evidence.

This application relates to the field of sound source localization technology, and in particular to a method for sound source localization and synchronous video capture for vehicle horn monitoring and evidence collection. The method includes: acquiring acoustic signals through a microphone sensor array and processing the acoustic signals to locate the horn sound source, obtaining a sound source localization result; the target area is a preset detection area or within the field of view of an optical camera; synchronously fusing the sound source localization result with video image data acquired by the optical camera to obtain a fusion result; and capturing images of vehicles honking within the target area based on the fusion result. This method can balance high positioning accuracy, rapid response capability, and strong environmental interference resistance, while also meeting the requirements of low cost and easy deployment in engineering applications.

This invention discloses a method for identifying instant dial-up attacks. The method includes: acquiring security alarm data from network security devices regarding asset access in real time; establishing a sliding time window; for each asset, counting the total number of attacking IP addresses and the average number of attacks per IP address within the current time window; for each asset, determining whether an instant dial-up attack occurs within the current time window; analyzing the instant dial-up attack situation within the time period based on the sliding window to determine the duration of the instant dial-up attack and distinguish different instant dial-up attack events. The method provided by this invention can automatically identify instant dial-up attack events from several time window segments, classifying and representing instant dial-up attack events with unknown durations across numerous time segments; this method can automatically identify whether an enterprise has suffered an instant dial-up attack, avoiding subjective human identification, reducing the enterprise's labor costs, and improving the degree of automated evidence collection.