11 results about "Total response" patented technology

The invention discloses a resource scheduling method, device and equipment, a medium and a product. The method comprises the steps of obtaining a total privacy calculation task load, total response time corresponding to the total privacy calculation task load, a total privacy budget corresponding to the total privacy calculation task load, accumulated privacy budget consumption, a global instantaneous privacy budget consumption rate and a physical resource index of a calculation cluster; determining a target resource scheduling strategy according to the total privacy calculation task load, the total response time corresponding to the total privacy calculation task load, the total privacy budget corresponding to the total privacy calculation task load, the accumulated privacy budget consumption, the global instantaneous privacy budget consumption rate and the physical resource index of the calculation cluster; according to the technical scheme, the privacy budget can be prevented from being exhausted too early, and it is guaranteed that the privacy calculation task is completed efficiently and reliably.

The invention relates to an intelligent deployment method and device for a to-be-deployed service and computer equipment. The method comprises the following steps: clustering response time key value pairs of each server according to response time intervals to obtain a plurality of clustering intervals; selecting a container IP of a deployed service according to the constructed dependency relationship triple, searching for an available clustering interval fastest to the container IP and a corresponding server IP list, and determining a to-be-matched service according to upstream and downstream of the deployed service, matching the server IP with the most available specifications from the server IP list according to the specification key value pair of the to-be-matched service to obtain a corresponding deployment result; sequencing the serial numbers in the dependency relationship triad to obtain a serial number linear table, calculating total response time according to deployment key value pairs corresponding to the serial numbers in the serial number linear table to obtain a minimum response time linear table, and performing service deployment according to the minimum response time linear table. By adopting the method, the network delay can be reduced, the balanced distribution of the load is improved, and intelligent service deployment is realized.

The application relates to the technical field of model scheduling, and discloses a multi-model unified access scheduling method and system, wherein the method comprises the following steps: acquiring real-time queue depths and average processing time consumptions of each model instance, and generating an estimated total response delay; dividing the instances into a safe layer, a critical layer and an over-limit layer according to the ratio of the estimated total response delay to a delay tolerance threshold, and removing the over-limit layer instances; retrieving historical quality scores from a feature association memory structure, calculating quality scheduling weights according to an upper confidence bound strategy, and generating a delay penalty factor for the critical layer instances; generating comprehensive scheduling weights and selecting target instances; recording actual response delays and quality scores, and updating the feature association memory structure.

The invention relates to an anti-interference electrochemical sensor based on a differential signal and an MOFs molecular sieve and a preparation method. The anti-interference electrochemical sensor comprises a first working electrode, a second working electrode, a reference electrode and a counter electrode, wherein the surface of the first working electrode is modified with a first functional material, and the first functional material is used for performing non-selective electro-catalysis on a target object and an interferent to generate a total response signal; the surface of the second working electrode is modified with a second functional material, and the second functional material is used for physically screening the target object according to the molecular size, allowing the interferent to pass through and performing electro-catalysis on the interferent to generate an interferent response signal; wherein the second functional material comprises a metal organic framework material; and performing differential operation on the total response signal and the interferent response signal to obtain a target object response signal. According to the sensor, accurate stripping of interference signals is achieved, intrinsic response only related to the concentration of a target object is obtained, and accurate interference resistance from the source is achieved.

The present invention discloses a transaction processing method and device, wherein the method comprises: when receiving a total transaction, parsing the total transaction process, initiating multiple sub-transactions according to the parsing result, and sending each sub-transaction to a corresponding microservice or host; receiving sub-response message information returned by the corresponding microservice or host; when determining that the sub-response message information contains authorization information and / or warning information, adding the sub-response message information to an exchange area; when determining that the number of authorization information in the exchange area is greater than one, setting a preset response identifier for the total response message corresponding to the total transaction; according to the preset response identifier, and the authorization information and / or warning information in the exchange area, obtaining the final total response message, and processing the total transaction according to the total response message. The present invention can realize the unified processing of multiple sub-transaction authorization information, and only needs to be authorized once, and the complexity and repeatability of authorization processing are low, thereby improving the efficiency of transaction processing.

The application discloses an industrial adjustable load response cost optimization system, which comprises a task acquisition and analysis module, an adjustable load screening module, an individual dynamic cost calculation module and a collaborative optimization decision module. The task acquisition and analysis module acquires a demand response task and analyzes target response capacity and total response time length. The adjustable load screening module screens a candidate load set from a pre-built industrial adjustable load characteristic library based on the total response time length. The individual dynamic cost calculation module calculates individual dynamic response costs of each device in the candidate load set based on operation data of each device in the candidate load set through a trained response cost coupling model. The collaborative optimization decision module establishes an optimization decision model with the minimum total cost as a target and a penalty term constructed in combination with collaborative operation constraints among devices, and obtains an optimal response device combination and optimal response depth of each device through solution. The application effectively reduces user-side response costs under the premise of meeting power grid regulation requirements.

The invention discloses a power load dynamic regulation and control method and system based on multi-agent reinforcement learning and a storage medium, and the method comprises the following steps: S1, collecting data, and classifying demand side subjects based on an improved K-Means clustering algorithm; s2, a regulation and control task is generated and issued, and each aggregator generates a bidding vector used for responding to the regulation and control task; s3, bidding vectors of all aggregators are evaluated based on a comprehensive revenue function, and regulation and control tasks are distributed according to a comprehensive revenue proportion; s4, the aggregator to which the task is allocated generates a response strategy according to local state information of each demand side main body in each aggregator by adopting a multi-agent depth deterministic strategy gradient algorithm; s5, the total response power of each aggregator is verified, and if the deviation exceeds a threshold value, coordination correction is carried out; s6, executing the corrected response instruction, and feeding back data; the method can timely and flexibly respond and efficiently allocate resources in the face of complex and changeable load resource scheduling requirements.

This invention provides a device for testing the total response time of respiratory gas monitors, comprising: a base with a medium pipeline for connecting test gas cylinders and multiple respiratory gas monitors; a timer and a monitor mounted on the base, the monitoring area of ​​the monitor covering the timer and each respiratory gas monitor. During the test, test gas is introduced from the test gas cylinders to each respiratory gas monitor through the medium pipeline. The monitor monitors the parameters displayed on the screens of each respiratory gas monitor and obtains the response time of each respiratory gas monitor based on the timer's count. In summary, in the first aspect, the testing device of this application can achieve batch testing of multiple respiratory gas monitors, thereby improving testing efficiency; in the second aspect, only one timer is needed to test the response time of multiple respiratory gas monitors, saving material costs.

This application relates to a power demand response regulation method, apparatus, computer equipment, storage medium, and computer program product. Applied to a demand response device, the demand response device is installed between the terminal block of the electrical equipment and the power supply line. The method includes: acquiring real-time operating parameters of the electrical equipment; analyzing the real-time operating parameters to obtain the real-time response power of the electrical equipment; sending the real-time response power to the power supply end; receiving a first demand response regulation command returned by the power supply end based on a comparison between the adjustable total response power of the electrical unit and a preset response power to determine if the regulation demand is met; the adjustable total response power of the electrical unit is determined according to each real-time response power; and adjusting the demand response of the electrical equipment based on the first demand response regulation command. This method allows for demand response regulation of the electrical equipment based on its actual situation, making the entire regulation process more accurate and rapid.

The present invention belongs to the technical field of gear fault diagnosis. A gear local fault vibration phenomenological modeling method, a fault diagnosis method and a system are provided. According to the location and size of the local fault, the time interval #imgabs0# between the start and the end of the local fault is calculated; a rectangular window function with a window width of #imgabs1# is used to simulate the modulation response caused by the local fault; two impulse functions with an interval of #imgabs2# are used to simulate the impulse response caused by the local fault; and the sum of the modulation response and the impulse response is used as the total response of the system vibration signal caused by the local fault. The present invention can not only accurately simulate the modulation effect caused by the fault, but also capture the transient impulse response when the fault occurs, accurately calculate the time point when the fault occurs, determine the time width of the rectangular window and the time interval between the impulse response, so as to achieve more accurate fault simulation and fault diagnosis.