58results 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 discloses an intelligent infant sleep monitoring system. The intelligent infant sleep monitoring system comprises a data-collection front end and a center monitoring platform which are connected through a network. The center monitoring platform is connected with a user client terminal through the network; the data-collection front end comprises a pressure sensor, a temperature and humidity sensor and a microcontroller; the center monitoring platform comprises a database module, a data mining module and an analyzing and early warning module. According to the intelligent infant sleep monitoring system, pressure data and temperature and humidity data in the infant sleep process are collected through a sensor, the sleep postures of infants are identified with the data mining technology, intelligent monitoring and reminding services of all behaviors for infants are achieved, the infant supervising time and cost are saved, and the convenience and the safety are improved; historical data is combined, users are reminded to correct the sleep postures of infants, and occurrence of infant diseases is effectively prevented; compared with an existing camera serving as a monitoring device, the privacy of users can be better protected, and the accuracy and the timeliness of early warning are guaranteed.

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 invention provides an NB-IOT(Narrow Band)-based intelligent wireless methane monitoring device, a system and a method. The device can comprise a main control MCU, an NB-IOT module, a methane sensor, a GPS chip and a sound-light alarm module,the NB-IOT module, the methane sensor, the GPS chip and the sound-light alarm module are all communicated with the main control MCU through serial ports, and the main control MCU receives methane concentration obtained by monitoring a to-be-detected environment through the methane sensor, controls the GPS chip to obtain position information of the to-be-detected environment and controls the NB-IOT module transmit the methane concentration and location information to a data and service center on the Internet of Things cloud platform through a transmission network; and the main control MCU controls the sound-light alarm module to give an alarm when the methane concentration reaches a preset threshold value.

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 provides a high-parallelism rendering method based on AI (artificial intelligence) algorithm capability, which comprises the following steps: learning a user task and rendering software through AI, splitting the user task into a plurality of subtasks according to a splitting principle, and splitting the rendering software into a plurality of granularities according to the requirements of the user task; a learning model is input, the completion time and the resource demand of each subtask are predicted through AI, the minimum waiting time and the maximum resource utilization rate set value are output, and an efficient parallel task scheduling execution plan is generated; distributing corresponding multi-granularity software for each subtask according to the execution plan, and determining an execution sequence of the parallel rendering tasks according to the dependency relationship, priority and resource requirements of the subtasks; and collecting execution data as feedback information, inputting the feedback information into the learning model, and carrying out iterative optimization on the learning model. According to the method, the AI algorithm capability is adopted to improve the degree of parallelism of rendering software, and the execution efficiency and quality of cloud rendering tasks can be improved.

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 discloses a printing process supervision method and system based on the Internet of Things. The method comprises the following steps: monitoring multi-dimensional parameter data of printing equipment in a printing process; according to the multi-dimensional parameter data, the overall operation efficiency index of the printing process is calculated; obtaining a preset target efficiency value of the printing process, and comparing the overall operation efficiency index with the preset target efficiency value to calculate a printing quality risk score of the printing process; whether the printing quality risk score exceeds a preset risk threshold value or not is judged, and if yes, an early warning signal is sent to a printing control terminal through the Internet of Things, so that an operator of the printing control terminal supervises the printing process. By utilizing the embodiment of the invention, the printing process can be intelligently supervised and optimized by utilizing real-time monitoring and analysis of the multi-dimensional parameter data and combining the overall operation efficiency index and the printing quality risk score.

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 supervision method based on image recognition, related equipment and a storage medium, and is applied to the field of smart cities. The method comprises the following steps: acquiring an environment image collected by monitoring equipment, preprocessing the environment image to obtain a target image corresponding to the environment image, performing matrix conversion processing on the target image to obtain a target matrix, determining a matching degree between the target matrix and each abnormal matrix, and determining an environment abnormal type of a supervision area based on the matching degree; and obtaining object information of the to-be-supervised object, generating exception handling information according to the object information and the environment exception type, determining a target grid to which the to-be-supervised object belongs according to the position information, and sending the exception handling information to the supervision platform and environment supervision equipment corresponding to the target grid. By adopting the embodiment of the invention, the supervision processing efficiency can be effectively improved. The invention relates to a block chain technology, for example, an abnormal image corresponding to an abnormal scene can be written into a block chain.

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 bicycle intelligent supervision anti-theft system and method based on the Internet of Things technology. The system comprises a remote server, an intelligent lock terminal and a client. The remote server generates a key array which takes effect in different time periods and sends the key array to the intelligent lock terminal; the client sends a key obtaining request to the remote server, encrypts the timestamp according to the obtained key and then sends an encryption result to the intelligent lock terminal; and the intelligent lock terminal encrypts the timestamps of the keys in the corresponding time periods and then compares the encrypted timestamps with encryption results, when the encryption results are the same, unlocking is carried out, and if not, unlocking failure information is sent to the client. If the system can be connected with the remote server after unlocking is completed, the remote server generates a new secret key array, and the intelligent lock terminal performs synchronous updating. And if the communication cannot be temporarily carried out, the control module and the remote server utilize a predetermined algorithm to modify the effective time of the key, so that the situation that the same key is used for multiple times in a short time is avoided, and the security is improved.

The invention discloses a water service customer service supervision system based on a cloud platform, which belongs to the technical field of water service customer service and comprises a water service timeliness module, a monitoring module, a monitoring analysis module and a management module. The water affair timeliness module is used for carrying out service supervision on water affair tasks of customer service staff, carrying out dynamic timeliness evaluation and adjustment on data of the water affair tasks and setting timeliness coefficients corresponding to the water affair tasks; the monitoring module is used for monitoring the service process of customer service staff in real time to obtain service monitoring data of each customer service staff for each water task; the monitoring analysis module is used for monitoring and analyzing each water affair task of each customer service, acquiring evaluation data of each water affair task in real time, and evaluating a task service value of the corresponding water affair task according to the evaluation data and service monitoring data; generating a service evaluation curve according to each task service value; evaluating the customer service according to the service evaluation curve to obtain a comprehensive service score of the customer service; and the management module is used for performing management according to the comprehensive service score of each customer service.

The invention discloses an intelligent supervision system, and the system comprises a home page view module which is used for displaying corresponding home page information for a user; the data management module is used for setting an early warning rule and / or a white list of each index; the early warning supervision module is used for supervising a target scene and collecting corresponding index data according to a data collection rule; the supervision process module is used for generating early warning information by utilizing a preset early warning rule and a white list according to the collected index data, and processing the early warning information according to a preset process; the supervision condition module is used for querying and exporting the early warning information of the target scene for management; and the system management module is used for performing permission setting. According to the invention, corresponding early warning information is generated through data modeling and threshold setting, and intelligent supervision of production management and operation activities is realized.

The invention discloses an intelligent supervision system for network engineering design and installation, which belongs to the technical field of monitoring and comprises a scene module, a monitoring arrangement module and a monitoring module. The scene module is used for establishing a scene model of a monitoring area, and the scene model is a three-dimensional data model; the monitoring arrangement module is used for carrying out arrangement analysis on each monitoring device and establishing a scene database; identifying a scene model, and matching each initial point from the scene database according to the scene model; performing intrusion analysis adjustment on each initial point to obtain each monitoring point; arranging monitoring equipment according to each monitoring point; the monitoring module is used for monitoring a monitoring area in real time to obtain monitoring data, identifying and analyzing the monitoring data according to a preset intrusion database, judging whether abnormal behaviors exist in the monitoring data or not, and obtaining intrusion identification data; performing corresponding early warning processing according to the intrusion identification data; and generating tracing analysis data according to the intrusion identification data, and inputting the tracing analysis data into the scene initial model.

The invention belongs to the technical field of informatization management, and provides a land reclamation supervision platform, which comprises a background server for providing data service; a project library module used for inputting and uploading construction project information and accessories and realizing electronic storage of the project information; an on-line supervision module used for supervising a project range through front-end monitoring equipment and realizing early warning and on-line supervision; a clock-in management module used for realizing clock-in management of workers; and a mobile patrol module issuing an offline patrol task according to the early warning information. According to the invention, the front-end equipment is used for sensing early warning, the early warning is transmitted to the background server through the network cable, the switch and the like, the monitoring content and the early warning information are displayed, and intelligent supervision of land reclamation project behaviors is realized.

The present invention provides a smart happy farm management system and method, which realizes intelligent supervision of students' entry and exit, and the use of tools and equipment through the setting of a smart campus system platform, a flow control access control integrated machine, a happy farm intelligent terminal management cabinet, a monitoring device and an electric control system, and can obtain various labor data of students in real time, and summarize them on the smart campus platform for statistical analysis, thereby realizing intelligent management, guidance and supervision of students' labor, and enabling students to understand and master the basic principles of labor operations and methods of using tools, and gradually develop an attitude of serious work and a behavioral habit of loving labor.

The invention belongs to the field of video monitoring, video image processing and analysis technology, and machine vision technology, and in particular relates to a method for estimating the volume change rate of stockpiles based on image features. The method for estimating the volume change rate of stockpiles based on image features is characterized in that it includes the following steps: (1), according to the images captured by the camera, obtain the images collected by the front end; (2), according to the obtained images, set the reference pile (3) Analyze the image of the reference stockpiling state, and estimate its reference volume; (4), after reaching the set time, estimate the stockpiling volume again; (5), use the volume value obtained twice to calculate the volume rate of change. The beneficial effects of the present invention are: realize the intelligent supervision of stockpiling in industry, greatly reduce the input cost, can automatically detect the volume change rate of stockpiling in real time, without manual measurement and detection, and avoid installation and maintenance of measuring equipment, complicated operations, etc. process.

The invention relates to the technical field of vehicle-mounted monitoring alarm, belongs to the technical field of computer production management, and particularly relates to an MES production management system for computer production, which comprises a manufacturing resource module, a project management module, a system docking module, a production management module, a quality management and control module, a personnel management module, a material management module and a plan management module, through the functions of the modules, the accuracy of production management data can be accurately and quickly identified in a production management monitoring image, the data can be analyzed, judged, monitored, managed and tracked, and risk early warning can be carried out when the reject ratio occurs, so that intelligent supervision of equipment production management data type deficiency is realized; the production efficiency of workers is greatly improved, and meanwhile a large amount of manpower and material resources are saved.

This invention discloses an integrated intelligent server rack system for data centers, relating to the field of data center technology. To address the problems existing in current technologies, the system specifically includes multiple server racks and an internal private network. Each server rack contains an intelligent control manager for monitoring its operational status, power supply equipment, cooling equipment, and multiple servers. The system has a two-tiered organizational structure consisting of an upper-layer framework and a lower-layer framework. Each server is connected to an external public network via a network cable and also to the internal private network via a network cable, managed and controlled by the intelligent control manager. The power supply equipment integrates a main power supply, a backup power supply, and a dual-input intelligent switching switch. By introducing an intelligent control manager and an internal private network, this invention achieves intelligent supervision, management, and control of all server racks and servers within the data center, improving the security, management efficiency, and operational efficiency of the data center.

The invention belongs to the technical field of vacuum pumps, and particularly relates to a rental vacuum pump with an access authority control function, comprising: a pump body used for connecting each component; the code scanning assembly is arranged on the pump body, and the code scanning assembly is used for performing code scanning control on the pump body and performing real-time control on operation starting of the vacuum pump; the protection assembly is arranged on the pump body, the protection assembly is connected with the code scanning assembly, and the protection assembly is used for performing protection treatment on the code scanning assembly; the control system is connected with the pump body, the code scanning assembly and the protection assembly, the control system is used for conducting intelligent management on operation control of the vacuum pump, the operation efficiency and the management level of the vacuum pump are improved through automatic and intelligent management, the payment process is simplified through integration of the code scanning payment function, and the user experience is improved; and safe and stable operation of the equipment is ensured through real-time monitoring and automatic operation functions, and the fault risk is reduced.

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.