103 results about "Environment surveillance" patented technology

The invention relates to the technical field of engineering monitoring, measurement and control, in particular to an intelligent acquisition instrument based on AI analysis and self-adaptive sampling and a self-adaptive interrogation method. According to the technical scheme, the device comprises a multi-source sensing interface module, an edge intelligent processing module, a self-adaptive sampling module, a communication module, a storage module, a key interrogation module, a power supply protection module and a structure packaging module, multi-dimensional feature fusion and edge decision making are achieved, the self-adaptive sampling module automatically adjusts sampling frequency according to an AI analysis result and an environment threshold value and has a dynamic threshold value adjusting function, the communication module supports various wireless protocols, and the key interrogation module can achieve automatic sensor recognition and instant data acquisition and uploading. The system can be widely applied to the fields of industrial monitoring, environment monitoring and equipment health management, and efficient and intelligent data acquisition and management are realized.

The invention discloses a coal storage and transportation intelligent management method and system, relates to the technical field of intelligent management systems, and aims to solve the problems of lack of environment monitoring, scheduling decision lag, extensive safety response and serious data island in the prior art. The method comprises the following steps: collecting the physical state, environmental parameters and operation behavior data of a coal storage yard in real time through a distributed sensor network; constructing a three-dimensional dynamic digital twinborn model and inputting the model into a time sequence neural network to predict the risk of spontaneous combustion, collapse or dust explosion in the future; and generating a dynamic scheduling instruction in combination with the task priority and the equipment state, and triggering a multi-level security response mechanism. The system comprises a sensor network module, a data fusion modeling module, a risk prediction module, a scheduling optimization module, and a closed-loop control and safety response module. According to the scheme, safety early warning preposition, scheduling decision intelligent optimization and resource energy efficiency collaborative improvement in the storage and transportation process are achieved, and the response capability and operation reliability of the coal supply chain are remarkably enhanced.

The invention discloses a highway service area intelligent environment monitoring and management system based on the Internet of Things, and relates to the field of environment monitoring and management, and the system comprises an acquisition module which is used for uploading the carbon emission source data of each energy consumption unit of a target service area, synchronously acquiring the carbon concentration in the environment of the target service area and the associated meteorological parameters of the same time interval, and transmitting the acquired data to a cloud server; constructing a carbon footprint basic data set; the traceability module is used for receiving the carbon footprint basic data set, constructing a traceability link based on the data set, analyzing carbon emission key nodes, and identifying a carbon emission ratio and a generation path of each node; according to the method, carbon emission related data and associated meteorological information are collected, a complete carbon footprint data basis is constructed, carbon emission key links and formation paths are carded out through reasonable analysis, the emission reduction potential of each link is calculated in combination with the actual operation condition of a service area, and links needing to be regulated and controlled are determined according to double judgment standards.

The invention discloses a communication machine room environment monitoring system and device, and relates to the technical field of machine room environment monitoring, and the communication machine room environment monitoring system comprises a fusion alarm module, a fault root cause analysis module and a dynamic air duct optimization energy saving module. The fusion alarm module significantly reduces false alarms through heterogeneous sensor space-time alignment, confidence weighting and sound vibration interference filtering; the fault root cause analysis module constructs an equipment dependence graph based on CAD topology and CFD wind resistance, and uses a Bayesian network to lock root cause equipment in a second level and perform 3D visual positioning; the dynamic air duct optimizing and energy-saving module controls a fan and a flow guide plate in a closed-loop mode through a high-resolution thermodynamic diagram and reinforcement learning, cold energy is precisely put according to needs, energy is saved, and consumption is reduced. The system effectively improves the alarm reliability, shortens the fault positioning time, and reduces the PUE of a machine room.

The invention relates to the technical field of cold-chain logistics and information processing, and provides a cold-chain logistics information distribution and tracing system for data management, which comprises a server, a distributed verification module, a node sampling prediction module, a logistics data push module and an environment monitoring module, the distributed verification module is used for collecting data port states of a plurality of logistics nodes and performing consistency verification on node data so as to form an inter-node trusted data set; the node sampling prediction module is used for carrying out periodic sampling on a freight vehicle, storage equipment and a temperature control device, calculating a freight priority index Freight Priority Index and generating prediction data; the logistics data pushing module is used for dynamically pushing node data according to a freight transport priority index and a system load index (Network Load), and generating a delivery feedback index (Delivery Feedback) on the basis of feedback information; the environment monitoring module is used for monitoring cold chain transportation and storage environment parameters in real time, and recording and tracing temperature control states and safety alarm information of all nodes.

The application discloses a kind of server fault monitoring systems related to server technical field, and the data acquisition terminal of deployment in computer room gathers the environmental monitoring data and software monitoring data of server, and as server monitoring data is sent to corresponding edge server.Edge server detects that software / hardware monitoring data exists exception, then from corresponding server monitoring data extraction relevant exception data, and generate exception report log.Central server determines that server exists fault according to exception report log and relevant exception data, then generate fault data information.Monitoring terminal locates the graphic object of fault server corresponding according to equipment identification in three-dimensional computer room virtual model, and the display state of server graphic object is updated to fault state, simultaneously generate fault data interaction label according to fault data information.The application can solve the problem that related technical fault response delay is larger, and can effectively improve server fault monitoring efficiency.

The invention discloses an intelligent control method and system for air purification and environment monitoring of a radiotherapy machine room, and relates to the technical field of industrial control. The intelligent control method and system for air purification and environment monitoring of the radiotherapy machine room comprises the following steps: S1, collecting original environment data of a plurality of key positions in the radiotherapy machine room, and preprocessing the original environment data; s2, monitoring the state and interference characteristics of radiotherapy equipment, marking a high interference period in real time, and adding a label structure to original environment data; s3, performing stability and reliability evaluation on the original environment data; s4, performing prediction correction compensation on the low-credibility original environment data; and S5, wind pressure intensity control is started by integrating the interference intensity grade, the stable and reliable evaluation result and the prediction correction compensation result. The problem that the data quality is unstable due to the fact that the sensor is prone to jumping and failure in the strong electromagnetic and irradiation environment is solved.

The invention discloses a monitoring method and device for an intelligent digital air conditioner system, and belongs to the technical field of intelligent air conditioner control and environment monitoring. Triggering the environment data collaborative awareness protocol layer to perform composite sampling on the target area, writing sampling data into the first cache area, and analyzing disturbance factor weights corresponding to the monitoring indexes; when the weight accumulated value reaches a dynamic threshold value, a response event identification signal is generated, and a response model corresponding to the control level is selected; loading the model to a decision scheduling layer, and generating a fine tuning instruction; after the instruction is issued, feedback information is collected to a second cache region; when the feedback deviation exceeds a correction threshold value, the sampling process is restarted, and the disturbance weight distribution matrix is updated; quick recognition and response control of multi-parameter coupling disturbance can be achieved, and the environmental adaptability and control precision of the air conditioning system are improved.

The utility model discloses an intelligent storehouse environment monitoring collection terminal relates to environment monitoring technical field, include: collection terminal body and terminal seal cover, and terminal seal cover fixes through bolt and collection terminal body, and the inner wall surface of terminal seal cover is installed heat exchange structure, and the lower wall surface of collection terminal body is installed cooling structure, and the lateral wall surface of collection terminal body is installed collection fixed structure, and the inside movable mounting of collection fixed structure has collection structure, the utility model discloses a sealing structure, to the whole closed processing of collection terminal, can make collection terminal and external environment insulate, guarantee its working environment's temperature normal at the same time, still can avoid the influence of collection terminal by external environment, and then guarantee its working stability. And the utility model adopts magnetic attraction fixed and contact connection to sensor, and convenient operating personnel replace sensor, that is, convenient operating personnel collect different data of warehouse environment.

The invention provides a blue space degradation diagnosis method and system, computer equipment and a medium, and belongs to the field of ecological environment monitoring, and the method comprises the steps: obtaining a remote sensing image, climate data and human activity data of a to-be-diagnosed blue space, and extracting water body images of the to-be-diagnosed blue space at a plurality of time points through the remote sensing image; calculating a multi-class landscape form index of each grid in the water body image; clustering the water body image based on the multi-class landscape form index of each grid to obtain a blue space combination mode corresponding to each grid; inputting the climate data, the human activity data and the landscape form index into a random forest model to obtain a contribution degree; and based on the contribution degree, screening from the climate data, the human activity data and the landscape form index to obtain a water body change driving factor, and determining a degradation diagnosis result of the blue space to be diagnosed. The blue space combination mode constructed by the method can reflect the structural difference of the blue space, and the accuracy of degradation diagnosis of the blue space is guaranteed.

This invention relates to the field of integrated driver-trailer technology for heavy-duty commercial vehicles, specifically to a 360° surround view system for integrated driver-trailer heavy-duty trucks. The system includes an environmental monitoring controller, with its input linearly connected to cameras and its output linearly connected to a multimedia screen. The environmental monitoring controller receives image information from four cameras on the driver vehicle and three cameras on the trailer, processes the image information, and sends it to the multimedia screen. A corner recognition calibration ball is located at the front of the tanker truck, used to identify the hinge angle between the driver and trailer in real time and send the acquired data to the environmental monitoring controller. This system solves the problem of drivers being unable to observe the 360° field of vision around the driver and trailer in real time from inside the cab, resulting in blind spots during vehicle movement, turning, and reversing, which can easily lead to safety accidents. It improves the safety of people, vehicles, and goods during train transportation and effectively reduces the incidence of safety accidents caused by blind spots during transportation.

1. The name of the design product: monitor. 2. The use of the design product: the design product is used for environmental monitoring. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a wireless sensor network distributed guaranteed probability estimation method under a deception attack, and specifically comprises the following steps: a nonlinear system mathematical model under the condition that innovation is deceived is established; a neural network-based distributed state estimator structure model is established according to the nonlinear system mathematical model under the condition that innovation is deceived; a neural network weight matrix adaptive updating strategy is designed; a distributed guaranteed probability state estimator gain is designed; and estimator parameters are optimized to achieve local optimal estimation performance; the application comprehensively considers the nonlinear characteristics and the influence of malicious attacks existing in actual engineering, can be widely applied to military monitoring systems and environmental monitoring systems, estimates the state of a monitoring or monitoring object, is more in line with engineering application, and is high in practicality.

The utility model discloses a bridge hanging basket monitoring and alarming integrated system and a construction system. The integrated system comprises a data processing module, a main beam stress sensor, a frame body stress sensor, a truss tilt angle sensor, a frame rail distance measuring sensor, a video monitor, an environment monitoring sensor and an alarm terminal. The construction system comprises the integrated system. The system has the beneficial effects that through multi-dimensional real-time monitoring and accurate alarm, the stress, displacement or inclination angle abnormity of the hanging basket can be found in time, and the safety in the construction process is ensured; due to the second-level response capability and real-time data transmission of the system, constructors can quickly take measures when abnormity occurs, and the risk of accidents is effectively reduced; in addition, through wireless data transmission and a remote monitoring platform, the system reduces the pressure of on-site manual inspection, and improves the efficiency and precision of construction management.

1. Name of the product in this design: Intelligent Marker Post (DS-C11). 2. Application of this design: for use as a path indicator for underground pipelines in the power, communication, gas, water supply, and railway sectors, and for monitoring the surrounding environment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The utility model provides a kind of monitoring adjustment switching device, first optical lens in first camera, second optical lens in second camera, third optical lens in third camera are all wide-angle lens, fourth optical lens in fourth camera is optical zoom lens, and the collection angle or collection mode of first optical lens, second optical lens, third optical lens, fourth optical lens is different;The lens switching control data output end of control unit is connected with the lens switching control data input end of switching unit, the image data output end of first camera, second camera, third camera, fourth camera is respectively connected with the image data input end of switching unit, the image data output end of switching unit is connected with the image data input end of control unit, can be flexibly switched between first camera, second camera, third camera, fourth camera, reduce monitoring use energy consumption cost.

The invention relates to the technical field of environment monitoring, in particular to an internet-of-things-based breeding environment monitoring system for pond turtles, and the system comprises a turtle movement trajectory tracking module which is used for collecting real-time images of an incubator, comparing pixel differences among continuous image frames to carry out background subtraction, and recognizing a moving foreground target. According to the method, the pixel differences between image frames are continuously compared, the geometric center point of the moving target is calculated, continuous recording of the moving tracks of the water tortoise individuals in the cultivation box is achieved, the moving area is gridded, the occurrence probability is calculated by counting the frequency that coordinates fall into all units, an objective data basis is provided for environment optimization, and the method is suitable for large-scale popularization and application. Meanwhile, multiple groups of temperature sensors are arranged at key positions such as a spawning area and a drying platform, multiple paths of environment sensing redundant numerical values are obtained, the state range is predicted according to a water body thermal inertia model, multiple paths of readings are updated and calibrated, deviation data are effectively recognized and eliminated, and the reliability of environment monitoring data and the fault tolerance of the system are improved.

The invention discloses an intelligent management method and system based on hospital infection environment monitoring, and relates to the technical field of intelligent management systems. The method comprises the following steps: constructing a digital twinborn model integrating building information, a heating ventilation air conditioner, a multi-source sensor and personnel positioning data; based on the model, constructing a dynamic weighted space-time atlas which takes a functional region as a node and takes a potential propagation path as an edge; predicting a future infection risk index based on the atlas in a rolling manner by adopting a space-time diagram neural network model; when the risk exceeds a threshold value or a case report exists, a causal inference-based module is activated, and an infection source and a propagation path are accurately traced; and finally, generating an optimal intervention strategy suggestion according to prediction and traceability results by using a reinforcement learning model. According to the invention, by constructing a closed-loop management process, the problems of monitoring data isolation, early warning lagging, tracing difficulty and the like in the prior art are solved, the conversion from passive response to active prediction is realized, and the global risk perception, accurate tracing and intelligent decision-making capabilities are improved.

The invention belongs to the technical field of vehicle testing, and particularly relates to an intelligent analysis method, system and device for intelligent network connection vehicle test data and a medium, initial test data is received, and a test item identifier is printed based on a test event; generating a candidate test item option set according to a user test demand, and aggregating related data to form a target test item; generating a test strategy including test scenes, steps and evaluation indexes in combination with the knowledge base; analyzing data required by the strategy, and outputting an execution scheme; monitoring the environment and the data flow in real time during execution, and automatically repairing and recording when the environment and the data flow are abnormal; and if the test case fails, re-checking the associated exception record, and retrying after repairing if it is confirmed that the test case is caused by the exception. According to the invention, the intelligent and automatic formulation of the test scheme is realized, the reuse rate of historical test data is improved, and the reliability of test execution and the result accuracy are improved through environment monitoring and failure analysis.

1. Name of the product in this design: Graphical User Interface for Intelligent Management Platform for Engineering Construction of Electronic Equipment. 2. Purpose of this design: For use in an electronic device to achieve large-screen display and human-computer interaction. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: to display the overall situation of the construction site on a large screen, realize the animation display of key construction progress nodes, and monitor the construction site video and environment. 7. Description of the changing states of the graphical user interface: Design 1's main view is the homepage interface of the intelligent management platform for engineering construction. Clicking the "Project Progress" button in Design 1's main view switches to the changing state diagram of Design 1's interface, enabling multi-angle roaming of the engineering construction scene and animated display of key engineering nodes; Design 2's main view is the homepage interface of the intelligent management platform for engineering construction. Clicking the "Intelligent Monitoring" button in Design 2's main view switches to the changing state diagram of Design 2's interface, enabling retrieval of on-site video monitoring of the engineering construction site, dynamic display of environmental monitoring information at the construction site, and real-time viewing of equipment online status data. 8. Other situations requiring explanation: In the interface, X indicates replaceable content.

The invention relates to the field of environment monitoring, in particular to an environment monitoring method and system based on a low-code platform, and the method comprises the steps: collecting observation data of a management region, carrying out the digital simulation of the management region based on the low-code platform according to the observation data, and obtaining a region simulation model; and performing simulation deployment of the environment monitoring network on the regional simulation model through the low-code platform to analyze deployment effect characteristics of the environment monitoring network, and performing feedback optimization on a deployment form of the environment monitoring network according to the deployment effect characteristics to obtain a regional monitoring deployment scheme.

The application discloses a kind of wireless multi-sense data monitoring terminal systems for wisdom rice fish, it is related to data monitoring technical field, including data setting module, set initial monitoring frequency;Environment monitoring module, real-time monitoring rice fish growth condition, soil data and aquatic animal state, timely capture rice fish growth environment change;Data processing module, according to the feature data related to rice fish growth environment change and breeding object anomaly of environment monitoring module extraction, quantize rice fish growth environment change degree;Early warning module, predict growth environment change by machine learning model, when predicting rice fish growth environment change appears anomaly, automatically send early warning signal;Dynamic adjustment module, the monitoring frequency of dynamic adjustment monitoring equipment, to cope with rice fish growth environment change.The application can significantly improve the robustness, timeliness and decision accuracy of the system by adjusting the monitoring frequency to dynamically adapt to the rate of environmental change.

The invention provides an intelligent screen interaction method and system based on panoramic nursing and intelligent membership service, and a medium, and the method comprises the steps: collecting full-view environment image data of a target region, carrying out the real-time analysis of the environment image data, and obtaining environment monitoring and user behavior characteristics; calling a user portrait database to obtain user identity information, and obtaining user historical habit data and scene preference data; constructing a personalized service model, and generating personalized member content and service information based on the personalized service model; acquiring a user interaction instruction to obtain user execution information; the personalized member content is matched with the service information based on the user execution information to obtain push content, and the push content is transmitted to a smart screen in real time to be displayed; full-view environment coverage is realized by integrating a panoramic camera, accurate recognition of user behaviors and identity information is carried out in cooperation with an image recognition algorithm, family nursing requirements are met, and active pushing of personalized contents and services is realized.

The application relates to the technical field of power environment data monitoring, and discloses a power environment monitoring data visualization platform and an abnormality diagnosis method, which comprises the following steps: identifying abnormal data in power environment data; constructing a causal abnormality graph of the power environment data; exploring a fault path for each item of abnormal data based on the causal abnormality graph; calculating the fault confidence of each node in each fault path; screening and pruning each fault path based on the fault confidence of the node; obtaining a weight value of the node based on the causal abnormality graph, and calculating the comprehensive causal strength of each fault path based on the fault confidence and the weight value of the node; and determining an actual fault path and diagnosing a fault source based on the comprehensive causal strength. The application improves the accuracy of abnormality diagnosis results and the reliability of fault source positioning of a power environment monitoring system.

The invention discloses a line surrounding environment monitoring and management method based on hidden danger discharge, relates to the technical field of hidden danger discharge identification, and solves the problem that the staged development characteristics of tree barrier discharge cannot be identified and dynamic risk management and control cannot be implemented according to the staged development characteristics in the prior art. According to the invention, the fingerprint characteristics (peak value, frequency spectrum, fractal dimension and the like) of the discharge current are captured through the broadband sensor, and the three stages of corona, spark and flashover are accurately identified by using the AI model, so that the early warning period is prolonged; a dynamic risk index R (x, y) is constructed in combination with a strike distance theory, three elements of tree height, distance and discharge intensity are fused in real time, seasonal weights are automatically adjusted, and the risk misjudgment rate is reduced; finally, a closed-loop management process of'monitoring and early warning, work order distribution, pruning verification and efficiency iteration 'is formed, and the fundamental transformation from'blind person groping type' passive first-aid repair to'cloud and day shifting type 'accurate prevention is realized.

The invention relates to the technical field of Internet of Things environment detection, in particular to a clean environment monitoring and early warning method and system based on the Internet of Things. The method comprises the following steps: acquiring a monitoring range, dividing the monitoring range into a plurality of sub-regions, deploying a multi-modal sensing node with an identifier in each sub-region, and collecting multi-dimensional environmental parameters of each sub-region; identifying a cross-region diffusion risk and a collaborative abnormal situation, and judging the cleanliness level of the current sub-region; a parameter multi-level threshold value is preset, multi-level early warning is divided in combination with a correlation analysis result, and corresponding sub-region equipment is linked to carry out differential regulation and control; the system comprises a sub-region multi-parameter acquisition module, a multi-sub-region association module and a cleanliness grading early warning module. By means of the mode, the multi-mode sensing nodes are dynamically deployed, a multi-level early warning and differentiation regulation and control mechanism is established, the accuracy and effectiveness of hospital environment infection control are improved, the medical quality and patient safety are guaranteed, the detection accuracy is improved, and the refined and real-time infection control requirement is met.

The invention provides a cloud environment-oriented data security policy automatic adjustment system. The system is composed of a data acquisition module, a data analysis module, a security policy adjustment module, a monitoring feedback module and a training data module. The data acquisition module acquires user access records, network traffic and system log data. A data analysis module analyzes these data and generates security event alarms and risk assessments in combination with a risk knowledge base. And the security policy adjustment module formulates and updates security parameters according to the evaluation result, and generates and pushes a new security policy to the cloud environment. And the monitoring feedback module monitors network flow and user behaviors, compares the network flow and the user behaviors with a preset baseline, and feeds back when finding abnormity. And the training data module performs scene simulation training by using historical data, optimizes a data analysis model, and improves the safety performance of the system.

The invention relates to the technical field of environment monitoring, and discloses an intelligent compact shelving environment safety monitoring system. A multi-source signal acquisition module of the system obtains real-time monitoring signals from various environment sensors at all monitoring points of the compact shelving, and a standardized signal sequence is generated; the time-space correlation analysis module analyzes a time synchronization relationship and a spatial dependency relationship among different monitoring point signals according to the standardized signal sequence, and generates a time-space correlation graph; the dynamic fluctuation evaluation module extracts fluctuation characteristics of a signal of each monitoring point on a plurality of time scales to generate a dynamic fluctuation index; the interference feature extraction module identifies an abnormal mode of each monitoring point signal, calculates an interference probability and forms an interference feature vector; the system error estimation module calculates the overall nonlinear error probability of the system; and the intelligent control module dynamically adjusts environment control parameters according to the nonlinear error probability, and performs closed-loop control on the compact shelving environment through the execution mechanism.

The utility model discloses an environment monitoring device based on artificial intelligence Internet of Things, which belongs to the technical field of environment monitoring, and comprises a mounting rack, a rotating assembly fixed at the bottom of the mounting rack, a fire-fighting detector mounted on the rotating assembly, and an Internet monitoring camera, and the rotating assembly is connected with a rotation driving mechanism; the rotation driving mechanism comprises a transmission half gear, transmission gears meshed with the transmission half gear and a bidirectional motor, and driving shafts at the two ends of the bidirectional motor are connected with the two transmission gears respectively. One half of the transmission half gear is a tooth-shaped cambered surface, the other half is an arc surface, one end of the tooth-shaped cambered surface is in meshing transmission with the transmission gear, and one end of the arc surface is fixed to the rotating assembly. The environment monitoring device has the advantages of adjusting the monitoring direction and installing various monitoring devices, and solves the problem that emergency measures cannot be taken in time due to the fact that a conventional environment monitoring device can observe a plurality of visual angles in time and carry out environment monitoring.

The invention provides an environment monitoring detection system and device based on an intelligent video identification analysis technology, and relates to the technical field of air pollution detection. The environment monitoring and detecting system based on the intelligent video recognition and analysis technology comprises a communication module, a processing module, a sensing module, a switching module, a power supply module, a conveying module and a sampling module, wherein the processing module comprises a control unit and a storage unit. The environment monitoring and detecting device comprises a mounting mechanism, the mounting mechanism comprises a mounting box, and an air inlet hole and an air outlet hole are formed in the mounting box. According to the scheme, the sensing module monitors the air pollution degree of an indoor key area on site in real time finally, and when it is detected that the pollutant concentration exceeds the standard, the system conducts identification, early warning and automatic sampling immediately, locates a specific position and prompts maintenance and management after air pollution sampling; the comfort and safety of the hospital environment are improved, and support is provided for hospital infection prevention and control.