43results about How to "Improve monitoring work efficiency" patented technology

The invention relates to a machine room monitoring system fusing an Ethernet protocol with an Internet of Things protocol, and an information processing and control method. An intelligent machine room monitoring platform is composed of an environmental monitoring host, a monitoring server and a network monitoring host, the monitoring is connected with the environmental monitoring host through a communication bus, the environmental monitoring computer is connected with an MQTT engine of the monitoring server through an MQTT protocol, and meanwhile the machine room environmental monitoring host is connected with a local sound-light alarm; the monitoring server uploads monitoring data to a client terminal device, and the monitoring server is connected with the network monitoring host through an SNMP proxy; and the network monitoring host is connected with a server cluster through an SNMP. The invention provides an automatic, intelligent and efficient machine room monitoring method based on the computer technology and a centralized device management mode, which realizes the unified release, unified display and unified management of monitoring control information.

The invention discloses an internet-of-things based intelligent alarm management system for intensive care. The system comprises a data acquisition and control module, a communication module and a central monitoring system, wherein the data acquisition and control module is used for acquiring running state data of an ICU (Intensive Care Unit) monitoring device and vital sign data of a patient in real time and sending the acquired running state data of the ICU monitoring device and vital sign data of the patient to the central monitoring system; the central monitoring system is used for performing analysis processing on the running state data of the ICU monitoring device, identifying a type and a working state of the ICU monitoring device and performing emergent grading alarm on device fault information; and the central monitoring system is further used for performing real-time analysis and comparison on the vital sign data of the patient and a set alarm range and performing emergent grading alarm on abnormal vital sign data of the patient. According to the system, the safety of nursing can be enhanced, the harm of alarm can be effectively reduced, the treatment delay due to 'alarm fatigue' of medical personnel is avoided, and the medical quality can be improved.

The invention relates to a soil erosion real-time monitoring device. The invention is aimed at providing the device which is characterized in high monitoring accuracy, high monitoring efficiency, and capability of automatic sampling, automatic weighing and wireless data transmission to meet the requirements of side monitoring. The technical proposal comprises the following steps that: the soil erosion real-time monitoring device comprises a machine frame, a water inlet mechanism, a weighing mechanism, a water pouring mechanism, a cell and a control circuit; the main frame in the control circuit is connected with each electric control components through an input output interface; the weighing mechanism comprises a weighing sensor which is suspended through at least one suspending connecting device, a weighing rack and a weighing tipper; the water pouring mechanism comprises a rotating shaft on the weighing rack, a tipper shifting block in coaxial coupling with the rotating shaft, a tipper motor positioned on the weighing rack and a tipper shifting lever on a tipper motor shaft; the water inlet mechanism comprises a mobile pipe motor, a shifting fork on a mobile pipe motor shaft anda mobile pipe which is held by the shifting fork and is suspended above the weighing tipper. The suspending connecting device is a universal joint or a weighing connecting hinge.

The present application is a cash register queuing analysis method and system, which uses the head target detection model and the cash register target detection model to confirm the location information and confidence of the personnel in the store and the cash register; Cashiers, and distinguish queued customers from non-queuing customers according to the geometric relationship between head images; count the number of cashiers and queued customers, and judge the peak passenger flow of the store when the quantitative relationship between the number of cashiers and the number of queued customers meets the set value There are cash register violations during the period, which solves the technical problem of low judgment accuracy or even missed supervision due to the huge workload per capita caused by manually checking whether there are cash register violations in the store during the peak passenger flow period, and greatly reduces the number of staff workload, improve monitoring accuracy, and avoid missed monitoring.

The invention discloses a method for laying out a Beidou GNSS monitoring system based on slope stability analysis, comprising: establishing a three-dimensional geological model of the slope through oblique photography and dividing a typical two-dimensional section to establish a two-dimensional analysis model; obtaining the rock and soil of the slope The physical and mechanical parameters of the body; the numerical analysis method is used to calculate the slope stability of the two-dimensional analysis model under extreme conditions, and the dangerous sliding surface is obtained; taking the obtained sliding surface as a reference, the leading edge of the landslide is cut and the trailing edge is pulled The fissure zone is projected to the corresponding position of the three-dimensional geological model to form a dangerous sliding surface projection line from the trailing edge to the leading edge of the landslide, and the Beidou GNSS monitoring instrument is arranged to form a monitoring area; different profile lines are selected, and the above steps are repeated. The Beidou GNSS monitoring instruments are deployed to form multiple monitoring areas. The present invention realizes the deployment of the monitoring network; realizes 360° no dead angle detection in the field, and has strong applicability; combines numerical simulation with engineering practice, and improves the monitoring work efficiency.