6results about How to "Meet constraints" patented technology

The invention provides an optimization method based on an industrial energy consumption big data model. The optimization method comprises the following steps: S1, acquiring a reference data set; s2, a target function with the purpose of minimizing the total energy consumption within the unit industrial production time is determined, and construction of an energy consumption prediction model embedding layer is completed; s3, enriching data background and influence factors through a real-time energy consumption data set Oj collected from a monitoring station j set in the current industrial production cycle, and realizing real-time calibration and display of the fine-tuned model by establishing a contribution matrix; and S4, forming an energy consumption point set. According to the method, the bag-of-words model is constructed by formulating the constraint conditions, so that the construction and output of the bag-of-words model can meet the constraint requirements of the optimization scheduling model, the obtained model input data is text data with constraint, and the subsequent energy consumption model training and prediction process not only considers the statistical characteristics of energy consumption data, but also considers the energy consumption data. And the computing power constraint in the prior art is reduced.

Provided are a rotary state warning device and an electrical cabinet, the rotary state warning device comprises a lock body and a blocking cover which are connected with each other, and the blocking cover is provided with an opening used for being matched with a switch handle; the lock body is provided with a sliding groove, the blocking cover is provided with a side wall, the side wall is in sliding fit with the sliding groove, the blocking cover can rotate between a first angle and a second angle, the rotating type state warning device further comprises a control circuit, a first magnetic induction unit, a second magnetic induction unit and a spring bolt, and the spring bolt can be controlled to stretch out and draw back; the rotary state warning device further comprises a first magnet and a second magnet which are installed on the side wall, a first inserting hole and a second inserting hole are further formed in the side wall, and when the blocking cover is located at the first angle, the spring bolt is inserted into the first inserting hole and limits rotation of the blocking cover. When the blocking cover is located at the second angle, the spring bolt is inserted into the second insertion hole and limits rotation of the blocking cover. The electrical cabinet is provided with a rotary state warning device. Tedious operations of cover dismounting storage management and next searching are avoided, and the problem that the blocking cover is dismounted and lost is solved.

The utility model relates to an operation side upper limb restraint strap which comprises an upper limb restraint cylinder, a positioning piece, a first restraint strap and a second restraint strap, and the positioning piece is sewn and fixed on the outer side wall of the upper limb restraint cylinder; the back face of the first restraint strap is fixed to the back face of the positioning piece, the first restraint strap is perpendicular to the central axis of the upper limb restraint cylinder, one end of the first restraint strap is adjacent to the sewing edge, and the other end of the first restraint strap extends out of the edge of the positioning piece; the back face of the second restraint strap is fixed to the back face of the first restraint strap, the second restraint strap is perpendicular to the central axis of the upper limb restraint cylinder, and the other end of the second restraint strap extends out of the other end of the first restraint strap. The number of the first restraint straps is the same as that of the second restraint straps, and one second restraint strap is fixed on each first restraint strap; the front face of the first restraint strap is a first hook-and-loop attaching face, the front face of the second restraint strap is a second hook-and-loop attaching face, one of the first hook-and-loop attaching face and the second hook-and-loop attaching face is a hook face, and the other one is a loop face.

The present invention provides an optimization method based on an industrial energy consumption big data model, comprising S1, obtaining a benchmark data set; S2, establishing a target function with the goal of minimizing the total energy consumption per unit industrial production time, and completing the construction of an energy consumption prediction model embedding layer; S3, collecting a real-time energy consumption data set O from a monitoring site j set in the current industrial production cycle. j Enrich the data background and influencing factors, and achieve real-time calibration and display of the fine-tuned model by establishing a contribution matrix; S4, forming a set of energy consumption points. The present invention constructs a bag-of-words model by formulating constraint conditions, which can ensure that the construction and output of the bag-of-words model can meet the constraint requirements of the optimization scheduling model. The obtained model input data is text data with constraints, which ensures that the subsequent energy consumption model training and prediction process not only considers the statistical characteristics of the energy consumption data, but also reduces the computing power constraints in the prior art.

This disclosure provides a method, electronic device, storage medium, and program product executed by an electronic device, relating to the field of artificial intelligence. The method includes: acquiring text to be processed and at least one sample, wherein each sample includes at least a question and an answer; using a large language model, based on the at least one sample, determining a first control vector for constraints on at least one network in the large language model; processing the text to be processed using the large language model, and during the processing, updating the activation vectors output by the corresponding networks in the large language model using the at least one first control vector; and obtaining a processing result for the text to be processed based on the updated activation vectors. This disclosure enables finer-grained control of the output of the large language model, allowing the processing result to accurately meet the user's constraint requirements. Optionally, the above method executed by the electronic device can be performed using an artificial intelligence model.

The application provides a multi-sensor fusion robot grasping path planning method and device, and relates to the field of automation. The method comprises the following steps: constructing a first time correction relationship based on multi-source sensor observation parameters; inputting hardware timestamps synchronized to a master clock source into an extended state estimation model based on the first time correction relationship; iteratively updating the multi-source sensor observation parameters based on the extended state estimation model, and constructing a second time correction relationship according to the updated multi-source sensor observation parameters; constructing a pose continuous time trajectory function corresponding to a target robot based on the second time correction relationship; taking the continuous time trajectory function and the multi-source sensor observation parameters as inputs, and outputting a grasping path corresponding to the target robot through a joint optimization model with a time sequence consistency constraint; and controlling the target robot to perform a grasping operation based on the grasping path. The application solves the problem of low precision of the robot grasping path in the prior art.