9results about How to "Real-time management" patented technology

The invention provides a sewage treatment plant drainage water quality evaluation method and system, and the method comprises the steps: collecting and processing water quality parameters of a plurality of point locations of a sewage treatment plant, recognizing abnormal data points through a deep learning anomaly detection model, and carrying out the dynamic correction or elimination of the abnormal data points through employing a particle swarm optimization-based adaptive filtering algorithm, thereby achieving the evaluation of the drainage water quality of the sewage treatment plant. Obtaining normal water quality data; constructing a water quality prediction model by using an integrated learning method, and predicting a water quality change trend; generating a target water quality improvement measure combination by using a first water quality improvement strategy recommendation mechanism based on a multi-objective optimization algorithm; and establishing a closed-loop feedback mechanism, evaluating the application effect of the target water quality improvement measure combination by using a reinforcement learning algorithm, adjusting key parameters of the water quality prediction model and the multi-target optimization algorithm, optimizing the first water quality improvement strategy recommendation mechanism, and generating an optimal target water quality improvement measure combination. The system realizes comprehensive, accurate and real-time monitoring and management of the drainage water quality of the sewage treatment plant, and improves the water quality improvement effect.

The invention relates to the technical field of power system control, and discloses a flexible load control technical method based on a high-current switch built-in electric energy meter, which comprises the following steps: monitoring current and voltage in real time, and inputting data into a fuzzy logic control system; formulating a fuzzy rule, and judging a current state through fuzzy logic control; implementing a safe load removal and reset strategy for a super-capacitance power utilization scene, and executing an overcurrent opening operation; setting a maximum load threshold value according to different power utilization environment characteristics, and formulating a load control strategy; and a multi-stage power control scheme is implemented, and a load control security authentication mechanism is established. According to the method, electricity utilization characteristic research in typical application scenes is carried out, a load flexible control technology is researched in combination with a switch built-in scheme, a multi-scene and multi-cost control strategy is made through multi-stage power control, overcurrent opening and self-adaptive closing functions, flexible control over power consumers is achieved, and the electricity utilization management level is improved.

The invention discloses a water cup which comprises the components of a cup body which comprises a cup opening and is internally provided with an accommodating cavity; the cup cover covers the cup opening; the suction nozzle is arranged on the cup cover and is communicated with the accommodating cavity; the water quantity detection device is used for measuring flow data of the liquid flowing out of the containing cavity and / or liquid level data of the liquid in the containing cavity; the display device is arranged on the cup cover and / or the cup body; and the display device is used for displaying the flow data measured by the water volume detection device and / or the drinking water information determined based on the flow data. According to the water cup, the combination of the water volume detection device and the display device is adopted, the water volume detection device can detect data information related to the water volume in the water cup and display the data information in the display device, and therefore a user can check the data information through the display device at any time, and real-time monitoring and management of the individual water drinking volume are achieved.

The application discloses a kind of construction methods of unmanned aerial vehicle swarm dynamic topology network, comprising: according to unmanned aerial vehicle communication load capacity, air node is divided into middle large unmanned aerial vehicle and small unmanned aerial vehicle;With middle large unmanned aerial vehicle as fixed cluster head, build first level relay network, with small unmanned aerial vehicle as cluster subnode, build lower layer swarm network;In lower layer swarm network, temporary cluster head is elected, and temporary cluster head is formed as the relay machine subcluster network;Through orthogonal frequency hopping pattern, bidirectional information interaction is carried out between first level relay network and subcluster network.This scheme can make unmanned aerial vehicle swarm establish dynamic topology structure, and efficiently utilize wireless spectrum resource, improve the network communication performance of unmanned aerial vehicle swarm.

The invention discloses an intelligent waistband and a medical data monitoring management system.The intelligent waistband comprises a waistband body, and the waistband body is provided with a sensing chip used for sensing vital sign signals of the human body, a pressure sensor assembly used for monitoring pressure distribution of different areas of the waist of the human body and a data display assembly; the sensing chip and the pressure sensor assembly are in wireless connection with the data display assembly respectively, measured data are transmitted to the data display assembly and displayed, and the sitting posture state of a user is judged by comparing a pressure value monitored by the pressure sensor assembly with a preset standardized pressure threshold value. The waistband not only can sense vital sign signals of a human body, but also can monitor pressure distribution of different areas of the waist of the human body, and can visually display monitored data. The invention further discloses a medical data monitoring and management system comprising the intelligent waistband, and comprehensive monitoring, real-time collection and efficient management of the health data of the user are achieved.

The invention discloses a transportation process management method and system based on the Internet of Things, and relates to the technical field of logistics transportation, and the method comprises the steps: carrying out the analysis of the transportation historical data of goods through deep learning; predicting possible delay or problems, and collecting feedback information to optimize a prediction result; constructing a multi-objective optimization model, and solving an optimal solution through a Pareto optimization algorithm; and re-planning a path and optimizing a transportation strategy based on an optimized prediction result. According to the method, the overall efficiency of logistics transportation is greatly improved, the cargo transportation time is shortened, the transportation cost is reduced, and the logistics industry is promoted to develop in the greener and sustainable direction by considering environment and energy factors. According to the invention, the flexibility and adaptability of logistics transportation are enhanced, various emergencies can be responded quickly and accurately, and safe and on-time arrival of goods is ensured. By using the Internet of Things technology, real-time monitoring and management of the logistics transportation process are realized, and the accuracy and timeliness of decision making are improved.

The invention relates to the technical field of power grid dispatching, and discloses a power grid remote electricity charge management method, which comprises the following steps: collecting electric energy use data of a current user and current environment data; the method comprises the following steps: constructing a total power consumption prediction model through collected electric energy use data and current environment data of a current user, analyzing the real-time electric energy use data and the current environment data, and generating a scheduling strategy; according to the scheduling strategy, generating a corresponding power grid scheduling instruction, and performing optimization and real-time demand response management on the power distribution network; and generating a user power consumption bill based on the charging rule. The power grid can realize efficient and flexible scheduling by adjusting the generating capacity, the power transmission line and the user demand response in real time in combination with strategy optimization and artificial intelligence model updating, guarantees the stability and economy of power supply, and promotes the consumption of renewable energy sources and the participation of users at the same time.

The utility model discloses a spraying device for construction engineering construction, which comprises a spraying mechanism and a quick-drying mechanism, the quick-drying mechanism is fixedly connected to the front side of the spraying mechanism, the quick-drying mechanism comprises a quick-drying box, the back side of the inner cavity of the quick-drying box is fixedly connected with a motor assembly, and the output end of the motor assembly is fixedly connected with a gear assembly. A toothed plate assembly is arranged at the top of the gear assembly, the bottom of the toothed plate assembly is meshed with the gear assembly, an L-shaped plate assembly is fixedly connected to the front face of the toothed plate assembly, the side, away from the toothed plate assembly, of the L-shaped plate assembly is slidably connected with the inner wall of the quick-drying box, and a vertical plate assembly is fixedly connected to the top of the toothed plate assembly. The top of the vertical plate assembly penetrates to the top of the quick-drying box. According to the spraying device disclosed by the utility model, the phenomenon that the traditional sprayed coating is low in condensation speed is changed, and the quick-drying fan is adopted to quickly dry the coating, so that the efficiency is not very low, the coating cannot be quickly dried, and the spraying quality is not influenced.

The invention discloses a fractionating tower production operation optimization method, device and equipment and a storage medium, and the method comprises the steps: determining the production operation condition rating of m fractionating towers according to the process parameters corresponding to m fractionating towers, m being a positive integer; determining target process parameters corresponding to a to-be-optimized target fractionating tower based on the production operation condition rating; the target process parameters are input into an integrated prediction model, the carbon number conversion rate corresponding to the sidedraw temperature output by the integrated prediction model is obtained, and the integrated prediction model comprises a plurality of sub-prediction models based on different machine learning algorithms; and establishing an optimization model taking the minimum carbon number conversion rate as an optimization target, and optimizing the production operation of the target fractionating tower to be optimized based on the optimization model. According to the invention, the technical problem that the production operation of the fractionating tower cannot be timely and accurately optimized in the prior art is solved.