20results about How to "Avoid violations" patented technology

The invention provides an Internet of Vehicles key information classification early warning method and a vehicle-mounted device. The Internet of Vehicles key information classification early warning method comprises the steps: acquiring Internet of Vehicles information of a target vehicle; determining current driving state information of the target vehicle according to the Internet of Vehicles information; and determining the type of information sent to the target vehicle according to the driving state information. According to the invention, the information with different emergency degrees can be sent to the user according to the current driving state information, multi-channel grading early warning is realized according to the information type, and the effects of assisting driving, promoting safety and improving user experience are achieved.

The invention discloses a self-adaptive global preset performance formation control design method for an unmanned ship cluster, and relates to the technical field of unmanned ship control, and the method comprises the steps: building an unmanned ship dynamics model with sensor fault and saturation input; constructing a topological communication network of the unmanned ship cluster, and defining a formation adjacent tracking error according to the expected formation offset; constructing a generalized global preset performance function with a saturation tolerance characteristic, and obtaining an equivalent error variable by designing a barrier function; establishing a coordinate conversion equation according to the equivalent error variable, and constructing a self-adaptive predetermined time global preset performance formation controller based on a self-adaptive backstepping control method; and analyzing the stability of the closed-loop system based on the Lyapunov stability theory, and determining a to-be-designed control gain. According to the self-adaptive global preset performance formation control method provided by the invention, the formation tracking performance can be effectively improved, and formation control of an unmanned ship cluster is ensured to be realized under the conditions of sensor faults and limited input.

The present invention provides a debt collection device based on an intelligent mobile terminal, which belongs to the field of mobile communication technology, and specifically comprises: a speech-to-text conversion module is responsible for acquiring the conversation voice of a debt collector in real time and converting it into speech-to-text; a sensitive word recognition module is responsible for constructing a text record of the debt collector based on speech-to-text, communication records of instant messaging software, and text message records, and performing sensitive word recognition; a compliance evaluation module is responsible for evaluating the compliance of the debt collector; a communication frequency determination module is responsible for determining the communication frequency between the debt collector and the debtor; a repayment willingness determination module is responsible for obtaining the debtor's repayment willingness based on the number of positive keywords, the number of collection times, the weight of the positive keywords, and the debtor's repayment willingness; a result output module is responsible for warning the debt collector or suspending the collection process according to the compliance and determining the debtor's collection frequency according to the debtor's repayment willingness, thereby further reducing the compliance risk in the collection and the pertinence and efficiency of the collection.

The invention discloses a data cross-border circulation security risk supervision system and method based on a big data technology, and relates to the technical field of data supervision, and the method comprises the steps: extracting data features of each piece of cross-border data, and classifying all the cross-border data according to the data features; performing primary data classification on the supervision platform; the circulation position of each piece of cross-border data in the historical record is extracted, and secondary position classification is carried out on the supervision platform; calculating the sensitivity of each supervision platform to the cross-border data according to the collected data standard; constructing a collaborative supervision flow; establishing a data sharing center in each collaborative supervision flow; selecting an optimal circulation route, and correspondingly determining a cooperative supervision flow of the optimal circulation route; whether the cross-border data meet the standard of the supervision platform is judged, early warning is carried out, and an early warning signal generated after judgment is transmitted to a data sharing center; and adjusting the cross-border data circulation route according to the subsequent supervision platform sensitivity in the collaborative supervision flow.

The present invention relates to the field of charging pile parking space management, and specifically to a charging pile parking space management method and system. Based on basic data, departure volume, a traffic flow causal model of several roads within a certain range around a parking lot that affect its charging pile parking space, and a weather causal model, a neural network model for predicting the occupancy of charging pile parking spaces at any time is finally constructed. Then, based on the parking request information of fuel vehicle users to enter the parking lot obtained in real time, if it is predicted that the charging pile parking space is full within the departure time, the current vehicle income when the current fuel vehicle user is allowed to enter and the charging vehicle income when the current fuel vehicle user is not allowed to enter are calculated respectively, and whether the current fuel vehicle is allowed to enter the parking lot is determined in a manner with the highest income. The problem that it is difficult to determine whether it is necessary to open the charging pile parking space to fuel vehicles in the prior art, thereby ensuring the maximum income of the parking lot, is solved.

The present application discloses a lane change control method, device, equipment, vehicle and medium, which includes: obtaining the control signal generated by the turn signal lever of the current vehicle during driving; determining the target lane according to the control signal; judging whether the current vehicle switches to the target lane according to the body distribution of the initial lane and the target lane of the current vehicle before changing lanes, and the change of the control signal; and controlling the current vehicle to change lanes according to the judgment result. The technical solution of the embodiment of the present application judges whether the current vehicle switches to the target lane according to the body distribution of the vehicle in the initial lane and the target lane, and the change of the control signal. This can accurately determine the driver's true intention to change lanes, prevent possible violations or accidents caused by the manipulation of the turn signal lever during the lane change, improve driving safety, and enhance the driver's driving experience.

The utility model provides a remote drainage container monitoring device which comprises a container which is located in a ward and used for containing patient drainage liquid, and further comprises a fixing base which is installed at the bottom of a sickbed and used for containing the container, a camera which is installed on the fixing base and used for monitoring the state of the container, and a server which is arranged at a nurse station and used for receiving and analyzing camera information. The monitor is used for outputting an analysis result of the server, the operation table is used for operating display content of the monitor, and the alarm device is used for giving an alarm according to a preset value of the server. According to the utility model, real-time monitoring can be realized in a nurse station, the workload of nurses is greatly reduced, a quiet environment can be provided for a ward, and meanwhile, medical personnel can intensively know the state of drainage liquid of each patient and timely process the state of the drainage liquid in the patient.

This invention provides a scaling method and system for a vGPU-based SLO-aware model in a computing power network. The method includes: designing and deploying a Prometheus-based monitoring system to collect load metrics from the GPU and instance sides of the Kubernetes cluster, obtaining monitoring metrics; constructing an output length predictor based on a fine-tuned BERT-base lightweight model, and combining it with the real-time system status to build a joint prediction model for first-token latency, inter-token latency, and end-to-end latency, obtaining latency prediction results; based on the monitoring metrics, adopting a two-stage scheduling strategy to achieve dual-level load balancing at the GPU and instance levels; and designing an SLO-aware elastic scaling mechanism based on the monitoring metrics and latency prediction results, dynamically selecting scaling strategies according to SLO violation risks. This invention achieves an optimized balance between operating costs and service performance.

The present invention relates to the filed of automatic drive and intelligent transportation system, an adaptive cruise control system and an adaptive cruise control method supporting traffic light recognition are provided. The adaptive cruise control system in the present invention includes: a wireless receiving module adaptive with a wireless transmission module of the traffic light and configured to receive first traffic light state information about a traffic light on the current lane sent by the wireless transmission module; and a main controller being in communication with the wireless receiving module and configured to obtain the first traffic light state information received from the wireless receiving module, and perform a stop control or adaptive cruise control based on the first traffic light state information. In the present invention, the wireless receiving module adaptive with the wireless transmission module of the traffic light is introduced to obtain the state information of the traffic lights, and an adaptive cruise control for avoiding a driver from violation of traffic light is further realized based on the state information of the traffic lights, so that a safety of driving can be improved.

The invention relates to the technical field of vehicles, in particular to a vehicle overload reminding method and device, a vehicle and a storage medium, and the method comprises the steps: calculating the weight change data of each wheel of the vehicle through a preset weight formula based on the height change data of the vehicle, and carrying out the differential compensation of each wheel, when the final weight data is larger than preset bearing standard data, it is judged that the vehicle is overloaded, overload information of the vehicle is obtained, an overload alarm signal is generated according to the overload information, and the final weight data, the overload information and the overload alarm signal are sent to a vehicle-mounted display unit to be displayed. And overload reminding is carried out on the user. Therefore, the problem that the bearing condition of the vehicle cannot be accurately judged due to lack of an effective loading detection alarm method in the prior art is solved, and a user is helped to know the overall state of the vehicle at any time through the overload reminding function, so that the bearing condition of the vehicle is accurately judged, and unnecessary violation behaviors are avoided.

The invention relates to the field of charging pile parking space management, in particular to a charging pile parking space management method and system. Based on the basic data, the departure amount, and the traffic flow causal model and the weather causal model of a plurality of roads influencing the charging pile parking spaces within a certain range around the parking lot, a neural network model for predicting the charging pile parking space occupation amount at any moment is finally constructed; according to the parking request information of the vehicle user of the fuel vehicle to enter the parking lot, which is obtained in real time, if it is predicted that the parking space of the charging pile is full within the leaving time, the parking space of the charging pile is full; if yes, the current vehicle income when the current fuel vehicle user is allowed to enter the parking lot and the charging vehicle income when the current fuel vehicle user is not allowed to enter the parking lot are calculated, and whether the current fuel vehicle is allowed to enter the parking lot or not is judged in the mode that the income is the highest; the problem that in the prior art, it is difficult to determine whether a charging pile parking space needs to be opened for a fuel vehicle or not, and consequently it is difficult to guarantee the maximum benefit of a parking lot is solved.

The invention discloses an infrared thermal imaging multi-modal integrated mirror, which belongs to the technical field of minimally invasive surgery, and comprises: a fixed mirror body, a mirror body handle and a lens assembly; a wireless radio frequency transmitting module and a battery compartment are arranged on the mirror body handle; one end of the fixed mirror body is detachably connected to the mirror body handle; the lens assembly comprises: a lens front end and a tilting lens; one end of the lens front end is movably connected to the other end of the fixed mirror body; one end of the tilting lens is connected to the other end of the lens front end, and the other end of the tilting lens is tilted in a direction away from the axis of the tilting lens, and a visible light camera and a thermal imaging camera are arranged on the oblique surface of the tilting lens for photographing targets in the monitoring environment; the wireless radio frequency transmitting module is communicatively connected to the tilting lens, and is used to transmit the image information obtained by the tilting lens to an external display through a wireless signal. When performing a segmentectomy, it is not necessary to inflate the lung, so as to realize the proofreading of the visible light image and the infrared image.

The application discloses an audio material auditing and warehousing method and system, relates to the technical field of audio auditing, and has the technical scheme as follows: obtaining a target audio material to be audited, and performing compliance screening on the target audio material; if the compliance of the target audio material cannot be determined, determining a propagation scene label after analyzing metadata information and audio waveform features of the target audio material; if the propagation scene label belongs to a cross-channel propagation type, extracting cross-channel audit records of audio of the same type from a historical cross-channel audit database, and calculating a feature correlation coefficient between the historical audio and the target audio material; separating a to-be-determined audio segment from the target audio material, generating an audit report after judging the multi-channel compliance of the to-be-determined audio segment according to the feature correlation coefficient and a real-time audit rule library of each channel, and formulating an adaptive strategy to complete warehousing determination; and the effect is to provide strong support for the standardized management and effective propagation of audio materials.

The present application discloses a person monitoring alarm method and system, which uses a camera module to shoot a scene, uses a human target judgment module to judge a human target, uses a human behavior judgment module to determine whether the human target has violated regulations, and uses a display module to mark and display alarms for human targets with violations, thereby achieving real-time monitoring of staff behavior and effectively avoiding staff violations.

The present invention discloses a path search method for large-scale integrated circuit wiring based on design rules, comprising the steps of: S10, data preprocessing stage: constructing a three-dimensional fast lookup table according to a circuit description file; the three-dimensional fast lookup table is established according to the through holes in the circuit description file to quickly screen whether there is a cutting spacing violation at the current position; S20, wiring stage: in the path search process, establishing an adaptive cutting spacing consideration method, using the adaptive cutting spacing consideration method to consider the cutting spacing in advance, avoiding the cutting spacing violation existing in the path in advance, reducing the final design rule violation, and obtaining the path. The present invention effectively reduces the design rule violation problem and ensures the manufacturability of the chip.

The invention relates to a security reinforcement learning task unloading method and device based on a punishment mechanism. The method comprises the following steps: receiving a computing service request of a user side; acquiring current state information of the user side; the state information is input into a security reinforcement learning model, a decision result for the calculation service request is obtained, the security reinforcement learning model is obtained by training a target function containing a barrier function in a maximized mode, and the decision result is obtained; the barrier function is used for carrying out punitive adjustment on the target function value according to a first constraint condition in the training process of the security reinforcement learning model, and the decision result is to determine which of the plurality of servers to unload a task corresponding to the computing service request for processing; the plurality of servers comprise a cloud server and at least one edge server; and unloading a task corresponding to the computing service request based on the decision result. And the barrier function can automatically trigger a pre-punishment mechanism, so that the occurrence of illegal behaviors is effectively avoided.

The present application discloses an application control method, device and electronic device, which belongs to the field of computer technology. The method comprises: receiving a target request sent by a target application, wherein the target request comprises first information for indicating access to target privacy data; in response to the target request, skipping the operation of accessing the target privacy data, and generating target indication information, wherein the target indication information is used to indicate successful access to the target privacy data; and sending the target indication information to the target application. The embodiment of the present invention solves the problem in the prior art that an APP forcibly requires user authorization to obtain user privacy information on the grounds of denial of service, thereby infringing the user's privacy rights and causing privacy information leakage.

The present application discloses a memory access method, a memory address allocation method and a device, and belongs to the field of information technology. The method comprises: a computer device obtains a memory access request, the memory access request comprises target memory address information, the target memory address information comprises an address bit and a length bit, wherein the address bit is used to carry the target address of the memory to be accessed, and the length bit is used to carry the length of the memory allowed to be accessed starting from the set address; the computer device accesses the memory based on the memory access request. The present application sets the address bit and the length bit in the target memory address information, so that the computer device can access the memory according to the target address of the memory and the length of the memory, enriches the function of the memory address information, and realizes the full and efficient use of the memory address information.

The invention relates to a service provider-oriented self-defined driver penalty handling system, in particular to the field of traffic management, a service provider logs in a rule background to enter a rule configuration page, fills and submits configuration information to enter an approval process and displays the configuration information to a driver background in a notification form, so that comprehensiveness and accuracy of rule configuration can be ensured, and the service provider can conveniently manage the penalty of a driver. A Beidou satellite navigation API interface is connected to collect driving data of a driver, service quality data of the driver is collected in a passenger evaluation and complaint feedback mode, and preprocessing and feature extraction are performed on the driving data and the service quality data of the driver. The method helps a service provider to better understand the behavior and service quality of a driver, constructs a random forest model as an illegal behavior judgment model, achieves the automatic processing of a process, improves the efficiency and accuracy, and selectively stores the illegal behavior data in a cloud and a local database.

The present application relates to the technical field of large models and business management, and particularly relates to a procurement document detection method and system based on necessary response item proportion detection; the procurement document analysis method comprises the following steps: obtaining a multi-source input format file; converting the multi-source input format file into a structured text; tokenizing the structured text to obtain minimum semantic units; and encoding the minimum semantic units based on BERT to output the category label of each Token; based on the Token after the category label is labeled, at least the following features are extracted: a pre-constructed structured synonym knowledge graph, synonym retrieval features of a first target Token in the Token are obtained based on dense vector retrieval; artifacts are generated based on end-to-end detection AI of the Token, and text generation authenticity features of all Tokens are obtained by combining the synonym retrieval features; and information confidence features of a second target Token in the Token and a website entity attribute vector are extracted according to the pre-extracted website entity attribute vector.