384 results about "Slow response" patented technology

The present invention discloses an intelligent measurement and control system for a withdrawable switch cabinet and a control method thereof, which relate to the technical field of automatic control of electric power systems, and solve the problems of slow response speed, inflexible control strategy and difficulty in coping with extreme weather conditions in existing intelligent measurement and control systems when responding to changes in power grids; real-time data acquisition and analysis are realized by integrating an edge processing module, and state prediction and anomaly detection are performed in combination with a long short-term memory network; an adaptive control module is used to optimize the control strategy according to dynamic monitoring results; at the same time, the emergency response module monitors environmental variables through a SCADA system, and an intelligent scheduling algorithm adjusts the switch cabinet operation mode and switches standby equipment; the present invention greatly improves the safety and reliability of the switch cabinet, significantly enhances the rapid response capability and adaptive control capability of the power system to changes in the power grid, and ensures the stability and safety of the power supply.

The invention discloses a network security dynamic early warning method and system based on multi-source data fusion, particularly relates to the technical field of network security monitoring and early warning, and evaluates the network protection quality and measures the protection strength and effectiveness by fusing multi-source data; building an attack probability prediction model based on the long-short-term memory network, and obtaining the attack probability of the network in a future time period T; analyzing the user operation behavior, and identifying an abnormal behavior parameter which is not consistent with the normal behavior mode; inputting the abnormal behavior parameters into an operation behavior analysis model to obtain an operation behavior abnormal index; the problems of one-sided information, inaccurate evaluation, inaccurate prediction and slow response are effectively solved, and dynamic early warning of the network security situation is realized; and when the Anx is lower than the security threshold, an early warning mechanism is triggered immediately, so that efficient and comprehensive technical support is provided for network security management, and the stability and security of a network environment are ensured.

The invention discloses a micro-service dynamic weight load balancing method and related equipment. The method comprises the following steps: asynchronously acquiring a multi-dimensional real-time load index of a micro-service instance, obtaining a load prediction value by virtue of a model, fusing the real-time index, the prediction value and a service health degree, calculating a dynamic weight by depending on service load data, distributing a request according to the weight, and feeding back an adjustment coefficient. According to the method, by asynchronously collecting the multi-dimensional real-time indexes, an accurate basis is provided for weight calculation, so that the request allocates the actual load of the matched instance, and the situation that the response of a high-load instance is slow due to too many requests is avoided; by introducing a load prediction value, load change can be pre-judged in advance, a weight strategy is adjusted in advance, overload when an instance load suddenly increases is prevented, and the fluctuation resistance of the system is improved; the weight is calculated by fusing multi-dimensional data, so that the comprehensive load of the instance can be comprehensively reflected, and evaluation deviation caused by a single index is avoided; a feedback mechanism can enable weight calculation to continuously adapt to a system state, and load unevenness caused by weight fixing or adjustment lag is avoided.

The invention relates to the technical field of power generation, power transformation or power distribution, and discloses a control method for preventing overload of an energy storage system transformer, which comprises the following steps: monitoring the three-phase total power and the power of each phase of a power grid side ammeter in real time, and calculating the three-phase unbalance degree based on the three-phase total power when the three-phase unbalance phenomenon occurs; when the three-phase unbalance degree is greater than a preset unbalance degree threshold value, dynamically adjusting the charging power of the energy storage converter according to a starting threshold value, a charging limiting threshold value and a charging forbidding threshold value by adopting a multi-threshold value dynamic adjustment mechanism; the phase with the maximum deviation between the power of each phase and the average power of the three phases is calculated as an overload phase, load reduction is performed on the overload phase based on a load increasing and decreasing strategy, load increasing is performed on a non-overload phase, and the adjusted three-phase power is obtained; a power distribution instruction is calculated in real time in combination with a dynamic response mechanism, and the three-phase unbalance degree does not exceed a safety threshold value in cooperation with total power control. The problems of easy overload, three-phase imbalance and slow response of a transformer in the prior art are solved, and the purposes of accurate load control, high system stability and high response speed are achieved.

The invention discloses a submarine cable detection method and device and a nonvolatile storage medium. The method comprises the following steps: acquiring the position of a fault point under the condition that a submarine cable is detected to have a fault; determining a first target search range corresponding to the position of the fault point based on the fault positioning response time, the submarine cable routing information processing time and the ocean current speed; determining a fault probability of each routing section of the submarine cable in the first target search range based on the submarine cable depth data, the water depth data and the environment data in the first target search range; and sorting the fault probabilities of the routing segments to obtain a routing segment sequence, and scheduling the patrol ship to perform fault detection based on the routing segment sequence. According to the method and the device, the technical problems of low response speed and low processing efficiency caused by inaccurate positioning and large range of the fault range propagated by the fault point when the submarine cable is identified to have a fault when the submarine cable is monitored in the related technology are solved.

The invention relates to the technical field of data processing, in particular to an artificial intelligence-based person and post matching system, which comprises an acquisition module, a judgment module, an evaluation module, a determination module, an adjustment module, a correction module and a matching module. The method comprises the following steps: acquiring various key data, judging concerned posts in combination with browsing frequency and browsing speed according to keywords of resumes and recruitment, evaluating recruitment indexes and resume indexes by utilizing a model, and determining a candidate post list in combination with historical training frequency and historical promotion speed; the resume index or the similarity threshold value is dynamically adjusted according to the delivery and interview success rate of the candidate post list, the candidate post list is corrected according to the number of times of adjustment, and the recommended post is matched, so that the recommendation result better fits the target and the post, the matching accuracy and effectiveness are improved, and the user experience is improved. The problems of inaccurate matching and slow response speed caused by incomplete data acquisition and excessive dependence on a static model are effectively solved.

The invention discloses a mine earthquake intelligent identification method based on multi-mode deep learning and signal processing, and belongs to the technical field of mine earthquake identification. Aiming at the problems that a traditional mine earthquake signal processing method cannot fully utilize spatial relevance and frequency domain characteristics of signals in a sensor network, the automation level is relatively low, the response speed is slow, and the emergency processing effect is influenced, seismic waveform data and multi-modal characteristic input are adopted, so that the emergency processing effect is influenced. Based on text semantic features generated by a large language model (LLMs), frequency domain features extracted by Fourier transform and time sequence features after obspy processing, a dynamic graph recognition model of a fusion graph neural network (GNN) and Transform is constructed; graph structure edge weights are dynamically updated through cross correlation between signals, and the structure change of complex environments such as mine roadways is self-adapted.

The invention provides an automatic chip aging test method and system and a medium, and relates to the technical field of semiconductors, and the method comprises the steps: after a type identifier of a to-be-tested chip is identified, calling an aging test parameter group corresponding to the type identifier, and carrying out the aging test of the to-be-tested chip through the aging test parameter group, after the key electrical parameters of the to-be-tested chip in the aging test process are collected, comparison is carried out to obtain a comparison result, when the comparison result exceeds a preset threshold range, abnormal recording operation is automatically carried out, and the current aging test link of the to-be-tested chip is terminated. By automatically recording abnormal information and terminating the aging process, full-automatic closed-loop processing from data acquisition and analysis to decision and control is realized, the test efficiency is improved, test equipment and samples are effectively protected, resource waste and misjudgment risks are reduced, and the problems of low aging trend identification precision and slow response speed are solved.

The invention provides a pipeline welding all-position welding seam identifying and tracking system and method, and belongs to the technical field of pipeline welding automation. In order to solve the problems of strong arc light interference, low tracking precision, slow response speed and insufficient robustness in the existing pipeline all-position welding tracking technology, the system comprises a sensing layer, a processing layer, a decision-making layer and an execution layer. The welding seam identifying and tracking method comprises the following steps: S1, calibrating the welding seam identifying and tracking system; s2, all-position welding tracking is carried out; and S3, performing adaptive adjustment on different scenes. According to the method, dynamic weighted fusion and fuzzy PID control are adopted, multi-posture welding such as flat welding, vertical position welding, horizontal position welding and overhead position welding can be automatically adapted, parameters do not need to be manually adjusted, and the operation threshold is lowered.

The invention provides a countercurrent tracking control method of an energy storage system and a related device, and relates to the technical field of power system control. According to the countercurrent tracking control method and system for the energy storage system provided by the invention, the problems of low response speed and poor adaptability of a traditional method are solved by dynamically adjusting the output power of the energy storage converter and establishing a multi-stage protection mechanism, and the countercurrent tracking control method and system have the advantages of improving the safety and the operation efficiency of a power grid.

The invention discloses a bus communication inspection method based on a master-slave communication mode and related equipment, and relates to the field of communication. The method comprises the following steps: determining a starting slave from a plurality of slaves; an inspection command frame is generated based on the address of the starting slave, and in the inspection command frame, the receiving address is the address of the starting slave, and the sending address is the address of the host; after the inspection command frame is sent to the bus, data transmitted on the bus is monitored, starting slave response data from the starting slave are obtained, and a slave target address in the starting slave response data is the address of the next to-be-inspected slave; after the starting slave response data are received, data transmitted on the bus are continuously monitored, current slave response data from the current slave are obtained, and a slave target address in the current slave response data is the address of a next to-be-inspected target slave after the current slave. According to the invention, more efficient and real-time bus communication inspection can be realized, and the problem of slow response of host inspection is relieved.

The invention provides an intelligent optimization control method for stable operation of a hydraulic system in a complex environment, which comprises the following steps of: aiming at an abnormal mode, optimizing power configuration parameters by adopting a genetic algorithm, determining a standby pump activation threshold value and a main pump switching condition, and obtaining a power redundancy scheme; according to the slow response reason, pipeline interface data are obtained, a feedback control mechanism is adopted to adjust valve group cooperation parameters, and a rapid pressure adjustment sequence is obtained; acquiring real-time feedback data according to the final optimization instruction, and processing high-temperature and high-dust influence through an iterative updating process to obtain stable operation configuration; according to the stable operation configuration, the state of the whole system is judged, and if the state meets the preset standard, a cooperative control result is output and used for maintaining continuous operation of the hydraulic system in the complex environment.

The invention relates to the technical field of data monitoring, and discloses an intelligent power distribution monitoring system and method, and the method comprises the steps: collecting current and voltage signals of a preset point location, and building a signal data link; preprocessing the signal data chain based on a windowing function to obtain a windowed data chain, and determining an overlapping proportion according to the length of the windowed data chain to perform window division to obtain a plurality of frequency spectrums; the spectrums are compared in pairs, and whether abnormal early warning is carried out or not is judged according to the comparison result; when early warning is judged, processing each frequency spectrum based on Hilbert transform to obtain an instantaneous envelope and an instantaneous phase, and obtaining a phase difference value of two harmonics with the same frequency in all the frequency spectrums; and comparing the phase difference value and the spectrum similarity as feature data with a historical early warning data set for early warning. According to the method, the problems that a traditional method depends on a fixed threshold value and is slow in response and high in false alarm rate are solved, and the identification accuracy and response timeliness of dynamic harmonic abnormity are improved.

The invention discloses an operation and maintenance management system for intelligent detection equipment, which relates to the technical field of operation and maintenance management of the intelligent detection equipment and comprises a detection acquisition module, an operation and maintenance analysis module, an operation and maintenance management module and a management execution module. Problems existing in an existing system include incomplete data acquisition, delayed monitoring, insufficient fault diagnosis accuracy and relatively slow response speed to equipment state change. According to the invention, the detection acquisition module is used for acquiring the state data of the company server, the operation and maintenance analysis module analyzes the state data, and the operation and maintenance management module analyzes the state data of the company server and then performs scheduling management; potential problems can be quickly responded, an alarm is triggered or a strategy is automatically adjusted, so that the downtime and the maintenance cost are reduced, and the overall operation and maintenance efficiency is improved; the utilization rate of resources is improved, the capability of dealing with emergencies is enhanced, and more reliable IT infrastructure support is provided for companies.

The invention provides an intelligent generation method and device for a mold design code, relates to the field of computer systems, and solves the technical problems of high development threshold and low response speed in the secondary development process of a UG system in the prior art. The method comprises the steps of obtaining a mold development demand input by a user; a natural language reasoning model is adopted to analyze a mold development requirement, and the mold development requirement is disassembled into a plurality of task instruction units executed according to a process sequence; the task instruction unit comprises a user intention, an operation target and a constraint condition; based on a rule driving mechanism and a semantic vector matching mechanism, matching a target function of each task instruction unit from a mold development knowledge base; and generating a mold development code based on the task instruction unit and the target function, the mold development code being used for calling the target function based on the process sequence to realize a plurality of operation intentions executed according to the process sequence. The method and device are used in the intelligent generation process of the mold design codes.

The invention discloses a multipath load control acquisition device and system and a load control acquisition method, the device adopts an architecture in which a master device and a slave device cooperate, the master device comprises a master controller, a master communication module, a user display interface and a master interface unit, and the slave device comprises a slave interface unit, a slave controller, an acquisition unit and a slave communication module. Flexible marshalling management is achieved by distributing electronic identity numbers to the breakers, load parameters and the states of the breakers are synchronously collected through the collection unit, a two-way data transmission channel is constructed by means of the master-slave communication module, a control signal is generated based on preset logic and real-time data through the master controller, and the state of the breakers is controlled. And the slave controller issues an instruction to drive the circuit breaker electric operation mechanism to realize millisecond-level rapid switching-on and switching-off operation. According to the invention, the problems of insufficient number of loops, lack of state monitoring, slow response and the like of an existing load control system are solved, and accurate, rapid and intelligent management of multi-path loads on a client side is realized.

The invention discloses a sheep house temperature and humidity intelligent regulation and control system based on artificial intelligence, and aims at solving the problems that a traditional regulation and control system is generally poor in partition control capability, low in response speed, lack of pertinence and the like. The system is composed of temperature and humidity sensors, a data acquisition unit, a temperature and humidity adjustment execution device and an artificial intelligence control unit which are arranged in different functional zones in a sheep house. Wherein the temperature and humidity sensor acquires environmental parameters and is connected with the data acquisition unit through a bus; the data acquisition unit summarizes multi-point sensing data and then transmits the summarized multi-point sensing data to the artificial intelligence control unit at a fixed frequency. According to the invention, an adaptive partition control scheme driven by an artificial intelligence algorithm is adopted, the intelligence level and the refinement degree of sheep house environment regulation and control are effectively improved, breakthrough is realized in the aspects of in-house temperature and humidity distribution uniformity, equipment response rate and regulation and control measure pertinence, and a new thought is provided for large-scale sheep farm environment management.

The invention discloses a maintenance and operation fault dynamic early warning system based on a high-speed railway communication network, and relates to the technical field of high-speed railway communication networks. The invention aims to solve the problems of inaccurate fault early warning, slow response speed and the like in the prior art. The system realizes real-time monitoring and intelligent analysis of a railway line through three-level elastic section classification, four layers of intelligent processing modules and a cross-domain cooperation module. The monitoring intensity is dynamically defined according to the annual average failure rate in the third-level elastic section classification; the four-layer intelligent processing module has the functions of multi-module sensing, edge calculation, digital twinning, decision control and the like; and the cross-domain collaboration module ensures the overall efficiency of the system. According to the invention, the accuracy and timeliness of fault early warning are improved, the maintenance cost is reduced, and a powerful guarantee is provided for safe operation of the high-speed railway. In the future, the system is continuously optimized, more application scenes are explored, and the system performance and the user experience are improved.

The invention provides an intelligent redundancy control method based on functional safety, and the method comprises the steps: 1, collecting key parameters in real time, and outputting a safety score S according to a fuzzy logic formula S = 0.3 XTnorm + 0.2 Vstable + 0.5 Cdelay; 2, preprocessing the key parameters, the safety score, the environmental data and the historical fault records, constructing a risk assessment model through the preprocessed data, and performing risk grade division; 3, triggering redundancy strategy adjustment according to the risk level and the safety score; and step 4, when the redundancy strategy is adjusted to a high-risk scene, triggering switching logic through hardware interruption, and completing redundancy control. According to the technical scheme provided by the invention, the problems that the existing scheme is high in cost, slow in response, incapable of adapting to a dynamic risk environment and easy to cause simultaneous failure of multiple nodes are effectively solved.

The embodiment of the invention discloses a resource supply method, electronic equipment and a computer readable storage medium, and the method comprises the steps: if the electronic equipment is in a target business scene, after the electronic equipment determines a target thread of the target business scene, the electronic equipment identifies other threads of the target business scene through a thread wake-up relation based on the target thread, the threads of the target business scene are determined to be key threads, resource supply of the key threads is adjusted, resource supply after adjustment is stronger than resource supply before adjustment, the threads of the target business scene comprise the target threads and other threads, and the target threads are threads used for outputting data. Thus, under the conditions of thread name updating, thread name synchronization and the like, the key thread can be accurately recognized based on the relatively fixed target thread, the probability of misrecognition and missed recognition of the key thread is reduced, then the problems of system jamming, low response speed and the like are reduced, and the use experience of a user is improved.

The invention discloses a method and a device for adjusting a high-load sector and electronic equipment. The method comprises the following steps: determining a target high-load sector in a target operator network; the scene type of the target high-load sector is determined at least based on a high-load sector wide table, and the high-load sector wide table is used for quantifying the network performance of the target operator; an adjustment strategy corresponding to the scene type of the target high-load sector is determined according to the knowledge graph, and the adjustment strategy is used for adjusting network parameters of the target high-load sector; and adjusting the network parameters of the target high-load sector by adopting an adjustment strategy. The technical problem that the utilization efficiency of network resources is low due to the fact that the adjustment means of the high-load sector depends on manual intervention, the response speed is low, and the requirements of different high-load scenes cannot be effectively met is solved.

The invention discloses a laser resonant cavity thermal drift suppression method and system and a laser, relates to a thermal lens effect and cavity length drift adaptive compensation technology of a high-power laser system, and aims to solve the problems of low cavity length adjustment sensitivity and slow response speed in the prior art. The method comprises the following steps: monitoring the central wavelength of a Raman Stokes spectral line in a laser resonant cavity in real time by adopting a spectral analysis module and obtaining the drift distance of the Raman Stokes spectral line; the FPGA controller determines the cavity length compensation amount of the laser resonant cavity according to the drift distance; and the FPGA controller controls the piezoelectric actuator according to the cavity length compensation amount to adjust the cavity length of the laser resonant cavity in real time so as to suppress thermally induced wavelength drift. The laser comprises a pumping source, a laser resonant cavity, a crystal arranged in the laser resonant cavity and a laser resonant cavity thermal drift suppression system, pumping light generated by the pumping source enters the laser resonant cavity, and Stokes light output by the laser resonant cavity enters the laser resonant cavity thermal drift suppression system.

The invention provides a data processing method and device of a camera control system, a vehicle and a storage medium. The method comprises the following steps: in response to the fact that an automatic driving domain controller is identified to be powered on, performing state detection on a cabin domain controller to obtain a first state detection result; in response to the first state detection result, determining that the cockpit domain controller is a current master control domain controller, and sending permission switching request information to the cockpit domain controller; permission switching response information corresponding to the permission switching request information is received; switching the current master control domain controller from the cockpit domain controller to an automatic driving domain controller in response to determining that the permission switching request information meets a preset switching condition based on the permission switching response information; and receiving environment image data of the camera module by using the automatic driving domain controller. According to the invention, the technical problems of high energy consumption and low response speed during data processing of a camera control system in the prior art are solved.

The invention relates to the technical field of fan monitoring, in particular to a BMC (Baseboard Management Controller)-based fan state monitoring method and system. Demand level and energy efficiency modeling; matching coupling judgment is abnormal; carrying out abnormal mechanism cross positioning; performing combined construction of trend portraits; and outputting classification abnormity prompts. According to the invention, on the basis of a collaborative acquisition and hierarchical coupling analysis mechanism of BMC multi-source operation parameters, parameters such as a complete machine load rate, power supply input power, a fan rotating speed, a PWM duty ratio, a motor driving current, an air inlet and exhaust speed and a key heating device temperature are brought into a unified energy efficiency response relation set for modeling and analysis; the sensitivity, the accuracy and the interpretability of abnormal recognition are greatly improved, and the problems that due to the fact that only a single temperature parameter and fault triggering type control are relied on, fan performance degradation is recognized in time, the precision is low, and the response speed is low are effectively solved.

The invention discloses a dynamic interface contract mapping method based on external configuration, which comprises the following steps: obtaining routing information and mapping rules of a target interface in an external configuration source, the mapping rules comprising a request mapping rule and a response mapping rule; and dynamically registering the HTTP path according to the routing information to receive the original request data. And after original request data is received, executing a first mapping operation according to the request mapping rule, and generating first service entity data. And after the first service entity data is subjected to core service logic processing to obtain second service entity data, executing a second mapping operation according to a response mapping rule, generating target response data and outputting the target response data. Through external configuration and dynamic processing, flexible configuration and hot update of interface routing and mapping logic are realized, interface change can be adapted without code modification, the problems of high development and maintenance cost, slow response and poor flexibility of interface mapping in the prior art are effectively solved, and the system efficiency and expandability are remarkably improved.

The invention discloses a cold chain transportation system applying a Beidou system, relates to the field of cold chain transportation, and particularly aims to solve the problems of information asymmetry, multiple monitoring blind areas, low response speed and the like in the traditional cold chain transportation and refrigeration process. In the prior art, the requirements of the modern logistics industry for high efficiency, transparency, traceability, real-time positioning, temperature monitoring, data management and other functions are difficult to meet, the cold chain transportation system applying the Beidou system is arranged, and the system architecture can be divided into a sensing layer, a network layer and an application layer; real-time monitoring and intelligent regulation and control of key parameters such as temperature and humidity in the cold chain transportation process are achieved, the system can provide accurate temperature control, safety and quality of goods in the transportation process are ensured, meanwhile, a scientific decision basis is provided through data analysis, an enterprise is helped to optimize resource allocation, and market competitiveness is improved.

The invention provides a three-degree-of-freedom micro-motion bonding head for a wafer bonding machine, relates to the technical field of ultra-precision piezoelectric driving, and aims to solve the problems that a traditional bonding head structure is low in response speed and poor in multi-degree-of-freedom cooperative micro-motion stability. An external frame unit and an internal frame unit are fixedly assembled on the micropositioner main substrate; the external frame unit comprises an X-direction piezoelectric actuator, a Y-direction piezoelectric actuator, an X-direction balance weight, a Y-direction balance weight and a parallel guiding flexible hinge, wherein the X-direction balance weight and the Y-direction balance weight are symmetrically distributed, and the external frame unit is used for achieving X-direction linear motion and Y-direction linear motion. The internal frame unit comprises a Z-direction piezoelectric actuator, a wafer bonding head and a tandem decoupling flexible hinge, and is used for realizing Z-direction linear motion; the piezoelectric actuator is used as a driving element and is matched with the flexible hinge to form a guiding and transmission mechanism, three-degree-of-freedom micro-motion of the bonding head in space is achieved, and meanwhile the structural design is optimized to improve motion decoupling performance, compactness and adaptability of stroke and precision.

The invention discloses a mobile application function exception processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the parallel monitoring of a system resource state and business behavior data through a buried point probe, generating a structured log with an exception type identifier, and storing the structured log in a local database; when an exception is responded, triggering an associated diagnostor based on an exception type identifier in the log, and analyzing log data through a predefined rule to judge an exception level; and executing the sub-path response according to the grade. According to the method, the problems of slow response and fuzzy positioning of manual operation and maintenance are solved through probe collaborative collection, dynamic grading of the diagnostor and automatic response closed loop, the key anomaly recognition accuracy is improved, and automatic fault diagnosis and user consultation processing are achieved.

The invention provides a traveling wave rotating ultrasonic motor speed control method and system based on deep reinforcement learning. Firstly, a virtual dynamic model based on a long short-term memory (LSTM) network is constructed, the time-varying behavior of TRUM can be accurately captured, and the average prediction error is within 0.5%. Secondly, designing an intelligent controller based on a near-end strategy optimization PPO algorithm, and optimizing a reward function and structure to enhance the adaptability of a control strategy; simulation and experiment results show that the method realizes the quick response of 0.034 seconds and the tracking error of less than 0.21 rpm, and the error is maximally reduced by 0.42 rpm compared with the traditional controller. According to the method, the problems of insufficient modeling precision, low control precision, slow response speed, poor adaptive capacity to dynamic characteristics and the like in the prior art are effectively solved, and a new path is provided for application of the TRUM in high-precision complex tasks.

The invention discloses an efficient image analysis and question answering system for intelligent customer service, and aims to solve the commercialized problems of slow response and high cost when an existing AI customer service processes user picture questions. In order to improve customer service interaction experience, the system greatly reduces the amount of visual data input into a core language agent through an innovative visual information compression engine, for example, the amount of the visual data is compressed to one fourth of the original amount. By means of the key optimization, the intelligent customer service staff can respond to picture inquiry of customers in real time, and customer loss caused by waiting is avoided. Meanwhile, the system ensures high-precision identification of commodity details through a unique training strategy, provides reliable and accurate answers for customers, and successfully solves the problem that speed and precision are difficult to consider in customer service application in the industry. Finally, a practical solution with instant response and high reliability is provided for the fields such as e-commerce intelligent customer service and the like needing real-time interaction, and commercialized popularization of the advanced AI technology is powerfully promoted.