8results about How to "Reduce invalid waiting time" patented technology

According to the electric meter intelligent dynamic complementary reading method and device based on big data analysis, the method comprises the steps that historical data are analyzed, the reading data items and the reading priority of an electric meter are intelligently adjusted, task data sets needing complementary reading are combined into a composite task according to requirements, automatic execution is executed in the non-busy time period, and the intelligent dynamic complementary reading efficiency of the electric meter is improved. And the data acquisition efficiency and accuracy are improved. A master station system is used for issuing a configuration scheme and a task to terminal equipment, data items of different electricity meters are sorted, and deep mining and analysis are carried out based on collected data within a past set time (flexible adjustment can be carried out according to specific field requirements); and a set of personalized complementary reading configuration strategy suitable for various ammeters is deeply combed and constructed, so that intelligent dynamic complementary reading is realized. The measure not only effectively guarantees the basic data support of big data processing, but also assists a decision application level to obtain more accurate and effective results.

The invention discloses a quay crane operation queue intelligent scheduling data processing method, and belongs to the technical field of intelligent scheduling, and the method comprises the steps: 1, preparing data, processing the data including ship information, equipment information, queue information and rule configuration, and then setting constraint conditions including a preset limiting condition and a target constraint condition; 2, building a CWP algorithm framework; 3, initializing parameters, carrying out data preprocessing, initializing parameters and variables required by an algorithm, and executing scheduling; step 4, constructing a neural network, establishing a neural network model of reinforcement learning, and realizing data progressive extraction from an input layer, a processing layer, a feature fusion layer, a decision layer to an output layer; and 5, training the network and updating parameters. The defects of a traditional scheduling algorithm are overcome, scheduling mode diversification is achieved, global optimization of intelligent scheduling is achieved, and a more flexible, efficient and intelligent job scheduling solution is provided.

The utility model relates to the technical field of vegetable processing equipment, in particular to a color pepper seed removing and halving device which comprises a conveying mechanism, a seed removing mechanism and a cutting mechanism. The seed removing and halving mechanism is arranged at the upper part of the conveying mechanism and is used for removing seeds and halving the conveyed color peppers; the finished product conveying mechanism is arranged at one end of the conveying mechanism and used for conveying the processed color peppers out; and the seed base transmission belt is arranged at the lower part of the conveying mechanism and is used for conveying the processed seed bases out. The color pepper seed removing and halving device integrates the seed removing function and the halving function, and compared with separated equipment and tedious processing procedures in the prior art, the operation steps are remarkably simplified, and the processing efficiency is greatly improved.

The invention discloses a forklift split rim production system which comprises a first punching machine, an oil press, a second punching machine, an overturning frame and a lathe which are sequentially arranged, and a chopping and feeding device is arranged at the feeding end of the first punching machine; a circulating conveying line is arranged between the lathe and the first punching machine, and a feeding conveying line is arranged at the end, close to the first punching machine, of the circulating conveying line; according to the production line, by arranging the production line, the automation level can be improved, the labor intensity of workers in production can be reduced, meanwhile, the production takt is conveniently adjusted through automatic production, the invalid waiting time between production stations is shortened, and the production efficiency is improved.

This application provides a temperature acquisition device and system. The device includes a microcontroller and multiple sampling chips, each corresponding to multiple sampling channels. The microcontroller sequentially controls each sampling chip to sample each of the corresponding multiple sampling channels. When the first sampling chip completes sampling in the first sampling channel and obtains sampling data, it generates a hardware pulse. The microcontroller triggers an interrupt based on the hardware pulse, reads the sampling data, performs temperature conversion on the sampling data, and switches to the next sampling channel. This device can improve the temperature acquisition response speed.

The invention relates to the technical field of data processing, can be applied to business system platforms of financial science and technology, medical treatment and health and the like, and discloses a task file exception re-reading method, device and equipment and a medium. Generating a to-be-executed task sub-file corresponding to the to-be-executed task main file according to the task configuration parameters; reading a reading progress value and a read data volume corresponding to the to-be-executed task main file, and monitoring a task data reading state of the to-be-executed task main file according to the reading progress value and the read data volume; when the task data reading state is reading failure, reading the to-be-executed task sub-file, and executing the to-be-executed task sub-file based on a reading result of the to-be-executed task sub-file to obtain a sub-file task execution state; identifying a reading abnormal factor of the main file of the task to be executed, and extracting a file configuration parameter of the reading abnormal factor; and synchronously updating the sub-file task execution state and the file configuration parameters to the to-be-executed task main file. According to the method, the task file exception rereading efficiency can be improved.

The application discloses an intelligent collaborative control method for high-temperature-impact coupling test, and belongs to the technical field of civil engineering structure test and intelligent control. The method collects the temperature of a test piece, the running state of a heating device and the preparation state of an impact loading device in real time; determines an effective characteristic temperature according to the temperature of multiple measuring points, calculates the predicted withdrawal duration of the heating device and the predicted falling duration of an impact body; predicts the temperature at the impact contact moment based on the pre-labeled temperature attenuation law, collaboratively determines the withdrawal trigger moment and the release trigger moment; after the withdrawal is completed, dynamically corrects the attenuation coefficient based on the actual withdrawal duration and re-predicts the temperature, and accordingly corrects the release trigger moment; when the conditions are met, the impact body is released and test data is collected. The application takes the temperature at the impact contact moment as a control target, and through pre-prediction, collaborative decision and post-dynamic correction, the control precision of the impact instant temperature is significantly improved, and the repeatability, safety and reliability of the test are enhanced.

The invention discloses a grounding detection method and equipment for underwater automatic cleaning equipment. The grounding detection method comprises the following steps: judging whether the underwater automatic cleaning equipment enters water from water or not; if the underwater automatic cleaning equipment enters the water from the water, whether the underwater automatic cleaning equipment is in a steady state or not is judged, and if the underwater automatic cleaning equipment is in the steady state, it is judged that the underwater automatic cleaning equipment touches the bottom; and the underwater cleaning equipment is controlled to execute cleaning operation after touching the ground. After the equipment is recognized to be in the water, whether the equipment touches the ground or not is judged according to the state of the equipment, judgment according to the falling duration of the equipment in the water is avoided, invalid waiting time is shortened, the starting efficiency of the automatic cleaning equipment is improved, and user experience is improved.