291 results about "Evidence collection" patented technology

The invention provides an audit report automatic generation method based on natural language processing, and relates to the technical field of natural languages, and the method comprises the steps: obtaining audit document data passing the examination and approval, the audit document data comprising an audit manuscript, an audit problem, an audit evidence obtaining sheet and an audit verification sheet; performing semantic analysis on the audit document data through a natural language processing model, and extracting key information of an audit subject, a risk point and a compliance conclusion; inputting the key information into a structured processing algorithm to generate structured data matched with a preset auditing template; and inputting the structured data into a pre-training text generation model for language reconstruction, generating an audit report text, automatically filling the audit report text into a corresponding field of an audit template, and outputting a complete audit report.

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 relates to the technical field of block chains, and discloses a data encryption system for evidence collection and storage based on a block chain technology. According to the data encryption system for evidence collection and storage based on the block chain technology, a hash value can be generated based on a timestamp of data chaining, so that integrity of storage data is regulated and controlled, data tampering detection is realized, a user permission access range can be regulated and controlled in combination with a key distribution mechanism, sensitive data leakage is effectively prevented, and user experience is improved. The consistency of the encryption step is verified according to the intelligent contract execution logic, the multi-node synchronization error is eliminated, the error of the encrypted data storage link is verified through the Hash verification algorithm, and the consistency of the block data is ensured.

The invention provides an accident liability intelligent determination method and system fused with video tracking, and the method comprises the steps: S1, carrying out the alignment evidence collection of a video, an IMU, a GPS, and an OBD, and forming an evidence chain through framing Hash, chain Hash, and a timestamp; s2, completing detection segmentation on the shared trunk multi-branch network; s3, in combination with appearance re-identification and a motion model, realizing cross-frame association, and outputting track, speed and shielding recovery; s4, mapping the trajectory to BEV according to depth and calibration, and constructing a space-time scene graph by fusing lanes, signals, speed limit and the like; s5, extracting events such as lane changing, line merging and signal rushing, and positioning a conflict point and a way giving relation; s6, generating error factors according to a rule base and priority judgment; s7, quantifying the responsibility proportion according to the weight, the collision participation time and the reaction time; and S8, generating a report evidence of the key frame and the rule list. The system is composed of an acquisition evidence obtaining module, a video understanding tracking module, a space-time reconstruction module, an event extraction module, a rule reasoning module, a responsibility quantification module and a report evidence storage module.

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 discloses an EDR-oriented traceability model and a method of a behavior chain preservation mechanism of the EDR-oriented traceability model. According to the method, traceability analysis of network attack behaviors is realized through functional modules such as data collection, threat detection, forensic analysis, archiving storage and attack traceability, and behavior chains are stored as electronic forensic evidences. The method comprises the following specific steps: collecting data such as system logs, operation logs and memory mirror images from terminal equipment through an EDR system and a GRR tool; a threat detection algorithm and MITRE ATTamp which are built in the EDR are utilized; the CK framework performs real-time behavior analysis, discovers potential threats and triggers a response; analyzing a memory mirror image and file data in combination with a third-party evidence obtaining tool, and reconstructing an attack behavior chain; through a hybrid mechanism of decentralized storage (IPFS) and local storage and a block chain technology, the integrity and non-tampering property of data are ensured; and finally, analyzing the relevance between the behavior chains by using an attack traceability module, and constructing a complete attack traceability graph. According to the method, the accuracy of attack behavior tracing and the security of data storage are effectively improved, the risk of data loss and tampering in a traditional tracing method is reduced, and powerful support is provided for subsequent network security event investigation and legal evidence obtaining.

The invention discloses a deep counterfeit face image source tracing evidence obtaining method and system based on a diffusion model, and relates to the technical field of deep counterfeit face image evidence obtaining. The method comprises the following steps: constructing a robust watermark framework based on a diffusion model, wherein the framework comprises a diffusion model encoder, a watermark decoder and a freeze parameter auto-encoder; in a training stage, a face image and a watermark are constructed as conditions, a diffusion model encoder is guided to denoise, and a corresponding watermark image is predicted; the trained robust watermark framework based on the diffusion model is used for testing, a specific depth forging model is added in the sampling stage for guiding, and a more robust watermark image is generated through iterative denoising; in the evidence obtaining stage, the watermark in the forged image to be subjected to evidence obtaining is obtained through the watermark decoder. The method can effectively cope with different counterfeiting technologies, provides a more robust and reliable deep counterfeiting traceability evidence obtaining scheme, and has strong adaptability and wide application prospects.

Police officers use conducted electrical weapons (“CEWs”) and cameras. A camera and a CEW may cooperate to improve the performance and use of the CEW and evidence collection by the camera. A camera and a CEW may also cooperate to improve the safety of the user and the target. Improvements may include improving targeting of the CEW, identifying and classifying body parts of the target as suitable or unsuitable for electrode deployment, adjusting electrode trajectory prior to launch, and automating electrode launch. Evidence collection may be improved by recording placement of electrodes on the target. Safety of the target may be improved by monitoring the movements of the target and altering characteristics of the delivered stimulus signal if potential harm to the target may occur.

The invention relates to the technical field of smart home and mobile terminals, and discloses a smart home anti-theft system based on a smart mobile terminal, which comprises a dynamic behavior learning module, a multi-modal sensor collaborative network, a dual-channel verification unit and a cross-platform emergency linkage engine. According to the smart home anti-theft system based on the smart mobile terminal, a false alarm scene is effectively eliminated and the false alarm rate is reduced through a multi-modal sensor collaborative network and a dual-channel verification unit, and a personalized security policy is dynamically generated by adopting a mixed learning algorithm and an edge-cloud collaborative computing architecture, so that the privacy data of a user is protected; through the cross-platform emergency linkage engine, hierarchical alarm and multi-dimensional response are supported, the intrusion event processing efficiency is improved, it is ensured that an evidence chain cannot be tampered, judicial evidence obtaining standards are met, and the problem that evidence of a traditional system is prone to being lost or tampered is solved.

The present invention discloses an in-road berth evidence-taking system for unmanned aerial vehicles and a method thereof, belonging to the technical field of parking charging. The system includes a plurality of berths arranged on the roadside; a lamp post is provided near the berth, and a flight evidence-taking device is further provided on the lamp post. The flight evidence-taking device includes an unmanned aerial vehicle and an apron. When a parked vehicle parks in the berth, the unmanned aerial vehicle approaches the parked vehicle and orbits around the parked vehicle as the center; the imaging module takes panoramic evidence-taking photos of the parked vehicle. The unmanned aerial vehicle is connected to a liftable and hidden male pole on the apron through a female pole for power taking, energy supply and data transmission, so as to realize rapid charging, effectively extend the endurance time of the unmanned aerial vehicle, and solve the problem of insufficient endurance. The unmanned aerial vehicle is equipped with an imaging module, which can orbit around and photograph the parked vehicle to obtain panoramic evidence-taking photos, associate the berth, the parked vehicle and the surrounding environment, and improve the accuracy and reliability of evidence-taking.

The invention discloses an electronic signature security generation method based on multi-factor identity verification, and relates to the technical field of signature generation. Comprising the following steps: counting each identity factor parameter based on a user historical identity verification behavior, calculating a stability transfer coefficient, and forming an initial verification path index chain; identifying an identity factor state, generating a behavior state sequence, and constructing a signature authority level through a preset mapping table; triggering state rollback based on the identity factor behavior state sequence, and updating a verification path index chain and a signature permission level; if the new grade and the historical grade have an inheritance relationship, marking that the current signature is generated by state transition; generating a path state abstract and binding the path state abstract to a signature structure body; and if the state transition is generated, extracting a last signature identifier, and constructing a signature chain tracking structure together with the path state abstract. The method has good signature traceability and asymmetric verification ability, and is convenient for later auditing and evidence obtaining.

The invention relates to the technical field of evidence collection, in particular to an evidence chain generation method and system, computer equipment and a storage medium. The method comprises the following steps: receiving event description information of a current case input by a user; determining an evidence requirement list according to the event description information, and feeding back the evidence requirement list to the user; various evidences which are uploaded by the user and correspond to the evidence requirement list are received; matching the event description information in a preset file knowledge base to obtain a historical case of which the type is the same as that of the current case, and constructing a fact judgment chain of the historical case; and reasoning the evidences according to the fact judgment chain to obtain a current evidence chain. By adopting the method, the evidence chain generation efficiency can be improved.

The invention discloses an intelligent analysis-based security vulnerability intelligent research and judgment and co-processing system and method, and relates to the technical field of network security, and the system comprises a multi-source data collection module which obtains security data in real time by adopting a multi-level intelligent hierarchical collection architecture; the intelligent analysis module adopts a three-level progressive analysis architecture to analyze and collect data; the intelligent agent scheduling module designs a unified control framework, realizes standardized management and control of security equipment through hierarchical abstraction, receives analysis results, integrates a self-adaptive scheduling algorithm based on multi-objective optimization and an alarm vulnerability intelligent circulation strategy relying on an optimization mechanism of the self-adaptive scheduling algorithm, and executes a security mechanism by means of an adapter factory mode, a strategy arrangement engine and a four-level execution guarantee mechanism. Equipment self-adaptive management, strategy intelligent scheduling and vulnerability grading processing are supported, and a processing result is fed back; and the report generation and evidence collection module displays the disposal result and automatically generates an electronic evidence collection package meeting the standard. According to the invention, intelligent research and judgment of vulnerabilities and automatic generation of disposal suggestions can be realized.

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 an unmanned aerial vehicle-oriented nest site selection method for traffic off-site rapid evidence obtaining, and belongs to the technical field of unmanned aerial vehicle nest site selection, and the method comprises the steps: firstly searching for an accident high-incidence intersection, obtaining and processing intersection traffic data in a selected region, carrying out the weight distribution of each index in the data through an entropy weight method, and carrying out the calculation of the weight distribution of each index; calculating a comprehensive score of each intersection by using a TOPSIS method, determining a risk threshold value, determining an accident high-incidence intersection as a risk point and allocating a weight, establishing a rectangular plane coordinate system for the accident risk point obtained in the above step, comparing the risk point to the coordinate system, and obtaining a position coordinate of the risk point; and then establishing a traffic accident non-field evidence obtaining unmanned aerial vehicle nest site selection model, and solving the unmanned aerial vehicle nest site selection model based on an NSGA-II algorithm to obtain an optimal nest site selection scheme.

The invention relates to the technical field of artificial intelligence monitoring, in particular to a bid evaluation site multi-modal behavior compliance monitoring method and system, and the method comprises the following steps: deploying an array microphone and a high-definition camera in a bid evaluation room, and synchronously collecting the sound and image data of bid evaluation experts and workers; meanwhile, personnel position information is collected in real time through a Bluetooth low-power-consumption or ultra-wideband tag; the bid evaluation method has the beneficial effects that sensitive languages, private communication, file or storage medium transmission, illegal use of electronic equipment, unauthorized leaving and other behaviors of judges and workers are recognized in real time in the bid evaluation process, and risk early warning or forced intervention is generated in real time, so that hidden dangers of camera obscura operation and serial fraud are eliminated. Meanwhile, the invention also aims to automatically store traceable audio and video evidence and behavior logs and provide reliable support for subsequent auditing and law enforcement evidence collection, so that the openness, justice and compliance levels of bid evaluation activities are comprehensively improved.

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 discloses a telecommunication fraud treatment method and system based on model pre-judgment and AI outbound forensics, and the method comprises the steps: introducing a characteristic factor of a scene user based on the specific behavior data of a telecommunication fraud case, constructing a scene user portrait, and constructing a user group prediction model through a machine learning algorithm; acquiring a risk number in real time, and predicting a suspicious number by adopting a user group prediction model; determining a called number according to the suspicious number, and carrying out call return visit on the called number by adopting an AI outbound robot; acquiring and analyzing the voice content of the revisited person in the call revisit process, performing voice conversation according to preset interaction logic, analyzing to determine a revisit result, and determining a telecommunication fraud judgment result of the suspicious number; and performing preset governance processing on the suspicious number according to the telecommunication fraud judgment result. Through the technical scheme of the invention, the timeliness and coverage rate of the local drainage fraud model are improved, and the judgment accuracy of telecommunication fraud is improved.

The invention discloses an automatic collection and intelligent analysis platform for law enforcement evidence, and the platform comprises a data integration module which supports a plurality of data sources, integrates the data of different sources into the platform, and is internally provided with an intelligent data analysis engine for cleaning, converting and preprocessing the data; the real-time analysis module has a real-time data processing pipeline and a flow calculation technology, can access dynamic data in real time, gives an alarm according to a self-defined key index and a threshold value, and displays the latest data change through a real-time data analysis instrument panel; the method has the advantages that multi-source data access is supported, by means of an intelligent analysis engine, the data management process is simplified, comprehensive data is rapidly gathered, a data foundation is built for law enforcement analysis, and the data collection and arrangement time is greatly shortened; dynamic data are docked in real time by means of a real-time data processing pipeline and flow computing technology; and an index threshold value is customized, an alarm is given immediately when an emergency comes, law enforcement officers can respond at the first time, and the social order is efficiently maintained.

The invention provides an electricity larceny behavior monitoring and evidence obtaining system based on an intelligent fusion terminal, and relates to the technical field of power distribution networks, and the system comprises an electricity utilization information collection master station system, the intelligent fusion terminal, an electricity larceny prevention online monitoring device, and a loop state monitoring unit. The loop state monitoring unit is used for monitoring the state of the metering loop to obtain real-time monitoring electric energy parameters of the metering loop; the intelligent fusion terminal performs analysis according to the real-time monitored electric energy parameters to obtain a current abnormal data record; the electricity consumption information acquisition master station system performs electricity stealing suspicion judgment according to the current abnormal data record and the remote meter reading data of the intelligent fusion terminal; and the power utilization information acquisition master station system is in communication connection with the electricity larceny prevention online monitoring device so as to control the electricity larceny prevention online monitoring device to perform image acquisition when it is judged that the intelligent fusion terminal has an electricity larceny suspicion currently, and a first monitoring image of a scene where the intelligent fusion terminal is located is obtained so as to perform electricity larceny behavior evidence obtaining.

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 discloses a key management method, an electronic device, a storage medium and a program product, and relates to the technical field of data storage security and key management. According to the application, when a data leakage event exists, a key version, an operation main body and a timeline corresponding to leaked data can be quickly positioned according to blockchain evidence storage data, so that the data leakage is avoided; the evidence obtaining time is greatly shortened, and the processing efficiency of data leakage events is improved; authority verification is achieved through the predefined strategy table, the efficiency of dynamic verification of the multi-tenant authority is improved, and the risk of authority retention is reduced; the integrity and authenticity of a key operation record are guaranteed by utilizing the non-tampering characteristic of the block chain, and illegal access of a tenant to key data is avoided through an independent block chain storage area and authority control; by associating the key version, the I / O operation and the tenant information, the responsibility subject can be determined when an abnormal condition occurs, and the problem that the responsibility definition of the log system is fuzzy is solved.

The invention provides a digital copyright protection method and system based on an exchange password watermark and a block chain. The method comprises the following steps: firstly, enabling data to complete digital watermark embedding and extraction in a ciphertext state by utilizing the exchangeability of an exchange password watermark technology so as to avoid data leakage, and then utilizing a Merkle Tree structure to link and store data and watermark (fingerprint) operation domain information so as to complete data integrity verification and distribution traceability; data forgery is prevented, and the block chain storage overhead is reduced; in the traceability process, an interactive credible traceability algorithm is utilized to complete traceability of illegal distributors, the algorithm reduces a dispute range of a traceability calculation result under a chain through a watermark challenge-response protocol, and a block chain recalculates and verifies a result of the dispute range to realize credible traceability. The block chain records the data distribution information and the verification process in the whole process, it is guaranteed that the traceability evidence obtaining process is open and transparent, and traceability of users who illegally distribute and illegally use data is achieved on the premise that the data security is protected.

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 discloses a judicial evidence storage protection method and system for preventing data tampering of Root / jailbreak equipment, and relates to the field of judicial evidence storage safety of mobile terminals. A trusted root is constructed based on a built-in TEE of a mobile terminal, the trusted state of the equipment is verified, then a trusted timestamp is generated through multi-source heterogeneous time synchronization, position verification is completed by combining GPS, Wi-Fi and base station data, camera drive and sensor parameters are verified to guarantee credibility of an acquisition source, and finally evidence storage data is signed by the TEE and then uploaded to a judicial block chain alliance chain. Through hardware-level protection and multi-dimensional verification, source-level tampering is thoroughly blocked, evidence is ensured to be true and legal, the evidence can be reproduced on mobile terminals such as mobile phones and tablet computers supporting TEE, and the method is suitable for various judicial evidence obtaining scenes.

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.