36results about How to "Realize intelligent supervision" patented technology

The invention relates to an intelligent remote monitoring system which comprises a center controller, at least one monitoring subsystem, at least one intelligent holder, a monitoring server, a mobile terminal and a fixed terminal, wherein the center controller is used for transmitting a control command to each monitoring subsystem and transmitting site data to the monitoring server; each monitoring subsystem is used for controlling linkage between the intelligent holders in a corresponding monitoring region and managing the site data; each intelligent holder is used for acquiring the site data and transmitting the site data to the corresponding monitoring subsystem and the monitoring server; the monitoring server is used for receiving the site data transmitted by the center controller and the monitoring subsystems and sending site data information to the mobile terminal and the fixed terminal; the mobile terminal is connected with the monitoring server through the mobile Internet and is used for monitoring the site in real time; and the fixed terminal is directly connected with the monitoring server and is used for monitoring the site in real time. The intelligent remote monitoring system realizes intelligent monitoring for the site, is suitable for teaching management and can be applied to monitoring in the fields of public police, traffic and the like after being slightly changed.

The invention provides an intelligent control system and method for a climbing frame, and relates to the technical field of building equipment. The intelligent control system comprises a main controlelectric box, a secondary control electric box, an Internet of Things sensor, and a cloud big-data platform, wherein the main control electric box is used for controlling the lifting and starting-stopping of the climbing frame, and comprises an intelligent module, a communication module and an electrical working condition sensor module; the secondary control electric box is connected with a lifting device and supplies power to the lifting device, and is taken as a relay for communication of the Internet of Things sensor; and the cloud big-data platform carries out data transmission with the main control electric box through a mobile communication module, and is used for remote storage, management and monitoring for data; and then remote intelligent supervision and control for the climbingframe are realized.

The invention belongs to the technical field of video monitoring, video image processing and analysis technology and machine vision, and particularly relates to a method for estimating the volume change rate of stacked materials based on image features. The method for estimating the volume change rate of stacked materials based on image features is characterized by including the steps of: (1) obtaining an image collected at a front end according to the image shot by a camera; (2) setting a reference stacked material state according to the acquired image; (3) analyzing a reference stacked material state image, and estimating the reference volume; (4) after reaching a set time, estimating the volume of the stacked materials again; and (5) utilizing volume values obtained by two times to calculate the volume change rate. The method has the beneficial effects that intelligent supervision of stacked materials in industry is realized, input cost is greatly reduced, the volume change rate of the stacked materials can be automatically detected in real time, manual measurement and detection are not needed, and processes of installation and maintenance of measuring equipment and complex operation are avoided.

The invention relates to the technical field of artificial intelligence, and discloses a video monitoring method, which comprises the steps of: controlling a video monitoring device to perform video monitoring on a preset application scene; transmitting the monitoring video acquired by the video monitoring device to a monitoring center through a network, selecting one or more candidate monitoringareas from the monitoring video by using a preset method, and continuously tracking and monitoring the candidate monitoring areas through an image matching technology; and performing target identification detection on the monitoring video and/or the candidate monitoring area by utilizing one or more pre-trained classifiers, identifying a violation scene of a preset type, intercepting a video stream with the violation scene from the monitoring video and/or the candidate monitoring area, and storing the video stream at a preset position. The invention further provides a video monitoring deviceand a computer readable storage medium. According to the invention, intelligent supervision can be carried out on kitchen and other application scenes, and the supervision efficiency is improved.

The invention provides a medical material intelligent management system. The medical material intelligent management system comprises a server, a material cabinet interacting with the server and a management terminal. The material cabinet comprises an upper computer and at least one cabinet grid. The cabinet grids are provided with RFID reading devices interacting with the upper computer; the upper computer is used for acquiring the label information in the RFID label scanned by the RFID reading device, is also used for updating material storage information, wherein the material storage information comprises the label information, the cabinet grid positions of the materials, the warehousing duration and the use frequency, and is also used for judging whether the warehousing duration and/orthe use frequency are/is greater than or equal to the longest use time and/or the maximum use frequency or not; if yes, the material recording module sends out an alarm signal. The system automatically records the access information of the medical materials, improves the inventory efficiency of medical material management, and achieves the intelligent supervision of the medical materials.

The embodiment of the invention provides an information processing method and device for automatically supervising heating. The method comprises the steps of obtaining the first temperature of a firstresident room; Obtaining the average temperature of all resident rooms in the community; Obtaining a first temperature difference according to the first temperature and the average temperature; Judging whether the first temperature difference is higher than a first preset condition or not; And when the first temperature difference is higher than a first preset condition, obtaining first early warning information, wherein the first early warning information is the early warning information to be maintained for heating of the first resident room. The technical problems that in the prior art, the heating condition is not supervised in time, the room temperature of a resident cannot be obtained in real time, and the resident experience feeling is poor are solved, and the technical effects that the room temperature of the resident is obtained in real time, the room with insufficient heating is maintained in time, the resident experience feeling is improved, and intelligent supervision is achieved are achieved.

The invention discloses a logistics violation behavior identification method and device, equipment and a storage medium. The method comprises the steps of: S1, collecting and obtaining a plurality ofpictures of logistics violation behaviors; S2, carrying out data labeling on logistics violation behaviors occurring in the plurality of pictures, and carrying out conversion to generate a picture data set in a TFRecord format; S3, based on a TensorFlow object detection API, training a YOLOv3 model which is converted into a TensorFlow solidification model in advance through a picture data set, verifying the trained YOLOv3 model, and obtaining a violation identification model; and S4, identifying the logistics scene through the violation identification model, and judging whether a logistics violation behavior exists or not to obtain an identification result. According to the invention, the YOLOv3 and the TensorFlow object detection API are combined and applied to the field of logistics to carry out violation behaviors; the invention greatly improves the training speed of the model and the precision and speed in the training and supervision process, guarantees the interests of the user,provides the service quality of the user, reduces the loss of the logistics industry, improves the transfer efficiency and quality, and enables the logistics to be closer on an intelligent road.

The invention discloses an intelligent supervision method for ship oily water receiving and transfer. The method comprises the following steps that: liquid level information of an oily water tank in an oily water receiving ship is collected in real time; data processing is carried out on the collected liquid level information, and the receiving behavior and the discharging behavior of oily water are automatically identified based on the liquid level change of the oily water tank; when the oily water receiving behavior is identified, the compliance of the oily water receiving behavior is automatically identified by adopting a spatial proximity method based on the distance between the oily water receiving ship and the nearest ship and the declaration information of the nearest ship; and whenthe discharging behavior of the oily water is identified, the compliance of the oily water discharging behavior is automatically identified by adopting a spatial proximity method based on the distance between the oily water receiving ship and the nearest ashore wharf and the operation record of the nearest ashore wharf. According to the method of the invention, the intelligent supervision of an oily water receiving and transferring process is realized, and two supervision problems, namely, low-value oily water secret discharge and the smuggling of bonded oil by means of an oily water receiving channel are effectively solved.

An embodiment of the invention relates to the technical field of wearable equipment and discloses an environment-based wading early-warning method and wearable equipment. The method comprises the steps as follows: when the wearable equipment is in a wading state, an infrared detection module arranged in the wearable equipment detects the number of surrounding pedestrians with the distance to the wearable equipment smaller than a distance threshold; whether the number is smaller than a preset number threshold is judged; when the number is smaller than the preset number threshold, wading early-warning information is sent to a terminal bound with the wearable equipment. The accuracy of the wearable equipment in wading early-warning can be improved, and intelligent supervision of children canbe realized by use of the wearable equipment.

The invention relates to the technical field of network security, in particular to a network data protection system, which comprises hardware and software, wherein the hardware comprises a plurality of clients; the software comprises an information system entrance safety management system and a business system; the information system entrance safety management system receives files from the business system; the hardware is connected to an identity verification device or the software is provided with an identity verification module; the identity verification device or the identity verificationmodule controls the start of the information system entrance safety management system and the business system; the information system entrance safety management system comprises a data safety area anda cloud storage; the data safety area is used for storing the files downloaded from the business system; and the cloud storage is used for transferring the files stored in the data safety area. The business system comprises an on-line management module, a query module, an alarm module, a device management module, a safety control module and a task pushing module. According to the system, an effect of preventing downloaded core data from being leaked and tampered is achieved, and the system is evidence-based.

The embodiment of the invention discloses a community operation service platform, a community governance method, equipment and a storage medium. The community operation service platform comprises a community gridding supervision system, a gridding mobile terminal supervision system, a grid information acquisition system, a public service applet and a community gridding operation service system. According to the technical scheme provided by the embodiment of the invention, the community gridding supervision system, the gridding mobile terminal supervision system, the grid information acquisition system, the public service applet and the community gridding operation service system are arranged in the community operation service platform in a layered manner for different platforms. All systems under different platform layers interact with one another, intelligent supervision on community operation and community service in the community operation service platform is achieved, a community gridding framework with online and offline linkage, operation and service mutual fusion and information and data intercommunication is built, and community governance convenience is improved.

The invention discloses a parking space management method and device, computer equipment and a storage medium, relates to the field of intelligent transportation, and is used for realizing intelligentsupervision of parking spaces of small vehicles, effectively solving the problem of order splitting caused by vehicle moving, improving roadside parking space management efficiency and saving human resources. According to the main technical scheme, the method comprises the steps of obtaining video frames shot by camera equipment, enabling an algorithm module to identify vehicles and pedestrians in the video frames, and obtaining scene information; tracking a target vehicle in the scene information, and identifying vehicle feature information; and in combination with the target vehicle information, the scene information and the parking space information, processing vehicle events of a target vehicle in a parking space, including a detection entry event, a departure event and a vehicle moving event, and updating the parking space information; and in combination with the parking space information and the scene information, processing the number change of the target vehicles in the parking space, including detecting an off-position event and updating the parking space information.

The invention discloses an elevator safety management system. The elevator safety management system comprises a two-dimensional code arranged in an elevator, a touch screen module and a controller. The two-dimensional code is used for recording basic information of the elevator. The touch screen module is used for maintenance personnel, a manager and passengers to conduct login operation. The maintenance personnel maintains the elevator in time and then registers the maintenance record in the touch screen module, the manager regularly checks the maintenance record in the touch screen module, the passengers check the maintenance record in the touch screen module at any time, and when the manager and the passengers find that the elevator is not maintained in time, the contact information ofsupervision departments is obtained by scanning the two-dimensional code, and elevator situation informing is conducted; and the controller is used for receiving signals transmitted by the touch screen module, and the signals are transmitted to a remote monitoring chamber through a wireless communication module. According to the elevator safety management system, intelligent elevator supervision is achieved, timely overhauling and maintaining of the elevator are ensured, and safety of the elevator is improved.

The invention discloses a special medical food supervision method and system based on a block chain technology. The method comprises the following steps: setting a management chain; setting a service chain; the hyperledger uploads the information data collected in each link to the corresponding block chain node in the corresponding service chain by executing the chain code; calculating a credit score of each block chain node; selecting at least one data sending node from the block chain nodes according to the credit score; uploading information data generated in each link to a corresponding management node through a data sending node; and the management node judges whether the supervision object is abnormal in the corresponding link according to a preset supervision rule based on the received information data, and automatically executes a corresponding supervision law enforcement means according to a judgment result. According to the special medical food supervision characteristics, on the basis of the block chain technology, intelligent supervision of special medical food production enterprises is realized.

The invention relates to a service process risk prevention and control method and system, belongs to the field of service process management, and is used for solving the problems of low service process supervision efficiency and poor supervision effect in an existing service system, the system comprises a server and a terminal, and the method is executed by the server. The method comprises the following steps: acquiring node condition information carrying a node identifier of a service process; and auditing the node condition information according to a preset node auditing rule to determine whether a node corresponding to the node condition information is a violation risk node, and generating node message information carrying a node identifier of the violation risk node. According to the system and the method, intelligent auditing of the nodes of the service process is realized, the auditing efficiency is relatively high, and the auditing result is relatively accurate.

The invention provides a network supervision method and device based on a one-way import device and a medium, and relates to the technical field of computers. The method can be applied to supervision equipment in a one-way import system, and comprises the following steps: receiving target supervision information sent by second one-way import equipment, the target supervision information comprises at least one of the following items: a running state parameter of the first one-way import equipment, a running state parameter of the second one-way import equipment and a running state parameter of the transition equipment; and determining the operation state of each network node in the one-way import system according to the target supervision information, by applying the embodiment of the invention, the comprehensive intelligent supervision of each network node in the one-way import system can be realized, and the supervision efficiency of the one-way import system is improved.

The invention discloses a garbage collection supervision method based on the Internet of Things, an aggregation processing terminal and a garbage collection supervision system. The method comprises the following steps: an aggregation processing terminal receives garbage collection processing information reported by a forwarding node, and analyzes the received garbage collection processing information to obtain a garbage processing condition of an area matched with the forwarding node reporting the garbage collection processing information. Visibly, by implementing the method, the related dataof the garbage in each region can be collected, analyzed and supervised, so that intelligent supervision of the garbage in the recycling process is achieved, and the garbage recycling and cleaning efficiency is improved; related data of the garbage of each region is collected, forwarded and reported in a grading manner, and the analysis efficiency and accuracy of the related data can be improved,so that the supervision efficiency and accuracy of the garbage of each region can be improved, and an accurate and reliable garbage supervision and recovery strategy can be formulated for each region.

The invention discloses a transformer substation thermal infrared scanning personnel positioning method, and the method comprises the steps: scanning and recognizing a human-shaped contour through infrared scanning equipment, controlling the photographing angle of the infrared scanning equipment, tracking the human-shaped contour to the center of an infrared image, and forming a first image; according to the pixel distance Q and the single-pixel real distance C of the infrared camera, solving an opening angle 2alpha of the human-shaped contour; and according to the inclination angle beta, theazimuth angle, the flare angle 2alpha and the height H from the infrared to the ground, solving a coordinate of an actual human body standing position point M corresponding to the human shape contourin a first coordinate system to complete positioning. According to the invention, accurate positioning of personnel in the transformer substation is realized, real-time intelligent supervision of thetransformer substation is realized, waste of human resources is reduced, and the cost is reduced.