15415results about How to "Improve user experience" patented technology

The invention belongs to the technical field of artificial intelligence, and relates to a power document intelligent question and answer method and system based on a large language model. The method comprises the steps of obtaining document data according to a preset period; preprocessing the document data to obtain an adaptive document; constructing a vector retrieval library through an embedded model according to the adaptive document; obtaining a user query question, inputting the user query question into a vector retrieval library, performing retrieval based on a vector similarity retrieval method and a keyword retrieval method to obtain related text blocks, and screening out the most related text block from the related text blocks through a two-stage rearrangement technology; a user queries the question and the most relevant text block and inputs the question and the most relevant text block into the large language model to obtain preliminary intelligent answer information; and correcting the preliminary intelligent answer information based on a preset self-provincial inversion mechanism to obtain final intelligent answer information. Multiple rounds of questions and answers and context understanding are supported based on a correction mechanism, context consistency can be kept in continuous query of complex technical questions, and the accuracy of multiple rounds of questions and responses is ensured.

The invention relates to the technical field of knowledge question answering, in particular to an intelligent question answering method and system based on multi-module collaborative optimization, and the method comprises the steps: inputting a question to be answered into a knowledge question answering model, and outputting a knowledge question answering result by the knowledge question answering model; a knowledge range judgment module in the model judges whether the problem can be solved by relying on own knowledge, and if not, a dynamic retrieval module is entered; the dynamic retrieval module performs similarity retrieval on the content of the memory knowledge base according to the question to be answered, and if the retrieval result does not meet the requirement, the multi-level question rewriting module is entered; the multi-level question rewriting module rewrites questions to be answered and inputs the rewritten questions into the knowledge screening module; the knowledge screening module outputs the screened documents according to the rewritten questions, the auto-reflection optimization module generates preliminary answers according to the documents and the questions and judges whether the preliminary answers are reasonable or not, auto-reflection optimization is carried out if the preliminary answers are not reasonable, and a new solution is provided for development of the intelligent question and answer technology.

The invention provides a real-time data analysis and visualization method and system in a big data environment, and relates to the technical field of data processing, and the method comprises the steps: obtaining and preprocessing a to-be-processed document; carrying out hierarchical structure analysis and semantic understanding analysis; semantic index mapping is established; receiving a natural language processing instruction input by a user; performing intention understanding and semantic analysis; matching a semantic understanding task; processing the corresponding semantic fragment units; and obtaining the target document and visually displaying the target document. According to the method, intelligent processing and analysis of different types of documents can be realized, and the data processing efficiency is improved.

The invention relates to a knowledge-enhanced large model data analysis agent visualization method, which comprises the following steps of: performing syntactic analysis by using a PCFG algorithm, identifying syntactic components and relationships of sentences, and splitting the sentences into sub-sentences with complete logic; extracting keywords and entity words of the sentences by combining a word segmentation technology with a business word segmentation library; recommending and summarizing candidate segmented words through a recall strategy, carrying out rough arrangement, fine arrangement and fine arrangement on the candidate segmented words, and correcting and complementing a segmented word result; splitting and analyzing the natural language problem based on the fine-tuned large model, and generating SQL statements meeting business requirements; analyzing the data set generated by the SQL, extracting field information and business meanings, and identifying an association relationship between fields; and automatically recommending chart styles according to data features and user preferences, assembling an analysis report and distributing the analysis report according to a specified frequency. According to the method, knowledge enhancement and large model technologies are combined, so that the efficiency and effect of data analysis and visualization are remarkably improved.

The invention discloses a saliency target detection method for an intelligent auxiliary driving system, and the method comprises the following steps: 1, obtaining a driving scene image based on a driver visual region in real time through a vehicle-mounted image collection device, and carrying out the preprocessing of the image; step 2, performing bottom-layer multi-scale feature extraction, interaction and global enhancement of feature information on the backbone network, and extracting rich multi-scale feature information; step 3, the neck network comprises an AESwinTransform attention module, and a cross-layer feature guide fusion module and a multi-level feature interaction fusion module in the TFG network, and the multi-level features extracted from the backbone network are fused together; step 4, detecting and classifying the feature map; and 5, inputting the adversarial sample and the normal sample into the model in a mixed manner, and performing adversarial training by using the trained model. According to the method, the detection precision of the small saliency target can be improved, the generalization ability and robustness of the model in a complex environment are improved, and the interference of irrelevant scene information is reduced.

The utility model provides an integrated air conditioner which comprises an outer shell, an indoor air containing area, an indoor air supply area, an air inlet and an air outlet. The fan volute is arranged in a mounting space defined by the shell, a containing space, an air inlet area and an air outlet area are formed in the fan volute, the containing space is used for containing an indoor fan, and the air inlet area communicates with the air outlet area through the containing space; air flow entering through the indoor air containing area and the air inlet area is guided to the air outlet area and the indoor air supply area by the fan volute; and the liquid storage container is used for storing liquid for humidification, the liquid storage container is arranged on the bottom side of the fan volute, and a liquid inlet of the liquid storage container communicates with the containing space, so that liquid injected from the indoor air supply area is guided into the liquid storage container by the fan volute. When water needs to be supplemented to the liquid storage container, no extra operation on the container needs to be carried out, water can be directly added into the shell from the indoor air supply area, and the liquid supplementing operation of the liquid storage container is greatly facilitated.

The invention discloses an LED large screen automatic repair and fault-tolerant display system and method, and relates to the technical field of LED display. The method comprises the steps that a sensor network and a high-definition camera collect data in real time; when an abnormal area is found, an intelligent diagnosis algorithm carries out comprehensive judgment according to sensor data and an image processing result, and the position and the type of a fault lamp bead are determined; starting an automatic repair process; redundant pixels are started to carry out hardware restoration; the dynamic reconstruction algorithm automatically adjusts the arrangement and brightness of redundant pixels, so that the redundant pixels replace fault lamp beads to participate in display; the system automatically adjusts the resolution and the display mode of the large screen according to the number and the distribution of the fault lamp beads. The problem that the display effect of an existing LED large screen is reduced when part of LED lamp beads are damaged is solved, it is ensured that the large screen can still maintain the good display effect under the fault condition through an innovative automatic repair and fault-tolerant mechanism, and the reliability of the system and the user experience are improved.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

The invention relates to the technical field of intelligent data processing and artificial intelligence in the electric power industry, and provides an electric power semantic large model adaptive data query and dynamic response method and system.The method comprises the steps that electric power industry natural language query and related images are obtained, and after feature extraction is conducted through a large language model and a deep learning model, the images are obtained; the knowledge graph and the visual question and answer graph neural network are utilized, features of different modes are unified into the same representation in a bidirectional fusion mode, fused features are obtained, after intelligent error correction and natural language query optimization are conducted through the hypergraph neural network and multiple rounds of interaction, an extended query statement is obtained through hypergraph reasoning, and a query result is obtained. Converting the extended query statement into a structured query statement through an autoregression model to obtain a query result; and performing dynamic permission adaptation, sensitive data protection and compliance and security check on a query result to realize dynamic response. And the query accuracy and efficiency of the power industry are greatly improved.

The invention relates to a glass assembly and a vehicle. The glass assembly comprises a glass assembly body, and a first mounting part and a second mounting part are arranged on the glass assembly body at intervals; a lamp group; the lamp set is arranged on the side face, facing the glass assembly, of the cover plate, the cover plate is provided with a first connecting part and a second connecting part, the first connecting part is detachably connected with the first mounting piece, and the second connecting part is detachably connected with the second mounting piece. When the lamp set breaks down and needs to be maintained or replaced after being used for a period of time, the first connecting part and the first mounting part can be detached, the second connecting part and the second mounting part can be detached, and then the cover plate and the lamp set can be detached from the glass assembly together in a fast, convenient and labor-saving mode. Compared with the installation mode that the lamp set is directly or indirectly bonded and fixed to the glass assembly in the prior art, according to the scheme, the disassembly operation difficulty of the lamp set can be greatly reduced, the maintenance and replacement cost is reduced, time and labor are saved in the lamp set disassembly operation, and the use experience feeling of a user is easily improved.

A buffering hardware hinge outside a cup comprises a hinge cup and a hinge arm, the hinge cup and the hinge arm are connected in a hinged mode through an upper connecting rod and a lower connecting rod, a guide groove penetrating through a body is formed in the bottom of the hinge cup, and a driving plate is installed at the outer bottom of the hinge cup in a covering mode; a sliding block is arranged on the top of the driving plate and installed in the guide groove in a sliding mode. The end, facing the hinge cup, of the upper connecting rod extends outwards to form a driving arm, and when the hinge is closed, the driving arm acts on the sliding block to push the sliding block to slide in the guide groove; a buffer is fixedly mounted at the outer bottom of the hinge arm, a piston rod or a cylinder body part of the buffer is connected with the driving plate, and the buffer has a damping effect on the movement of the driving plate, so that the damping effect when the hinge is closed is realized. The device has the beneficial effects that the buffer is installed outside the hinge arm, through the design of the guide groove and the driving plate, the external space is effectively utilized, and the problem that the internal space is limited is avoided.

The invention provides a context understanding-based software operation prompt automatic optimization method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting the multi-dimensional context feature data of user software operation, carrying out the feature coding through a multi-modal feature fusion network, modeling the time sequence dependence through a bidirectional long-short-term memory network, and carrying out the feature coding through the bidirectional long-short-term memory network. And a context semantic representation vector is generated based on a multi-head attention mechanism, and a prompt generation strategy is continuously optimized in combination with reinforcement learning. According to the method, personalized customization of software operation prompts can be realized, the accuracy and timeliness of prompt contents are improved, and the software use experience of a user is enhanced.

The invention discloses a dynamic load adjusting method and system for dish-washing machine energy efficiency and water efficiency test, and the method comprises the steps: setting a test set of different dirt degrees and types of tableware proportions, carrying out the transient performance analysis of each washing mode, predicting the fluid flow and temperature distribution in a cavity of a dish-washing machine, and recognizing an abnormal region; a first objective function based on the washing effect is constructed to optimize water pump parameters to improve a water flow path, a second objective function is constructed to adjust heating element parameters, energy efficiency and water efficiency testing is conducted to determine the optimal washing period, the water pump parameters and the heating element parameters as optimal operation parameters, and a decision tree algorithm is introduced; and learning a mapping relation between the test condition and the optimal operation parameters, and adjusting the operation parameters of the dish-washing machine in real time by means of a control algorithm according to the tableware dirt degree and proportion. According to the method, the energy efficiency and water efficiency balance of the dish washing machine under different load conditions can be effectively improved, the washing effect is enhanced, energy consumption and water consumption are reduced, and meanwhile good interpretability is achieved.

The invention relates to the technical field of piston ring group wear monitoring, in particular to a piston ring group wear life prediction method and system. The method comprises the following steps: collecting working state data of a piston ring group in real time, de-noising by using improved wavelet transform, processing missing data by using a KNN interpolation method, standardizing and normalizing the processed data, adopting a filtering label generation and auditing mechanism to ensure the ordered homogeneity of the data, and constructing an over-limit learning machine model to obtain a piston ring group model; a hidden layer weight and an offset vector are randomly generated to calculate a hidden layer output matrix, a whale optimization algorithm is adopted to optimize model parameters, the prediction precision is improved, then the residual life is predicted, a final prediction result is used for calculating a fault risk coefficient and comparing the fault risk coefficient with a preset threshold value, maintenance suggestions are provided, and real-time data and the prediction result are displayed. And a user is assisted to make a maintenance decision. The advanced signal processing technology and the machine learning algorithm are combined, and the maintenance efficiency of the piston ring set and the reliability of equipment operation are improved.

The invention relates to the technical field of sickbed control, in particular to a control system of an intelligent bed and a control method thereof. The method comprises the following steps: acquiring structural data of the intelligent bed; carrying out human body fitting area gravity sensor deployment on the intelligent bed structure data to obtain sickbed sensor deployment data; performing gravity sensor data acquisition on the sickbed sensor deployment data to obtain an initial gravity sensor data set; carrying out data matrix processing on the gravity sensor data set to generate a multi-dimensional pressure sensing matrix; acquiring user pain part data and bed board motor initial position data; and performing pressure distribution mode recognition on the multi-dimensional pressure sensing matrix to obtain a uniform distribution mode and a concentrated distribution mode. According to the invention, through the personalized support regulation, global attitude optimization and real-time feedback mechanism of the intelligent bed, the control accuracy and intelligence of the intelligent bed are improved.

The invention discloses a blind person auxiliary interaction method and system based on a multi-modal large model and a storage medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: obtaining a user voice instruction and an external environment image, and carrying out the preprocessing of the obtained data; inputting the preprocessed data into a pre-trained multi-modal large model to obtain an environment understanding result; integrating the environment understanding result into feedback information for voice output, and adjusting output intonations according to environment characteristics; the acquisition method of the pre-trained multi-modal large model comprises the following steps: acquiring historical multi-modal data; and inputting the historical multi-modal data into a pre-constructed multi-modal large model, carrying out fine tuning on the trained multi-modal large model through a base layer in a frozen model to obtain a trained multi-modal large model, fusing multi-modal information through the multi-modal large model, accurately identifying a user intention and a corresponding object in a complex environment, and carrying out real-time identification on the user intention and the corresponding object in the complex environment. Therefore, accurate scene description is fed back.

The invention discloses an intelligent agent control method and device and an intelligent agent, and belongs to the field of intelligent agents. The intelligent agent control method comprises the steps of generating a target task execution plan based on a three-dimensional scene graph corresponding to a target scene and a target scene graph; controlling the intelligent agent based on the target task execution plan; wherein the three-dimensional scene graph is dynamically updated based on a feedback result of the intelligent agent in the process of executing the target task execution planning, and the target scene graph is determined based on the target task. According to the intelligent agent control method, the dynamic target task plan is generated by the three-dimensional scene graph dynamically updated based on the feedback result of the intelligent agent in the process of executing the target task plan, and the intelligent agent is controlled to execute the related task based on the dynamic target task plan. Target task planning is optimized in reverse based on the actual sensing condition of the intelligent agent in the task execution process, the unknown environment is better adapted, and the task execution effect in the unknown environment is improved.

The invention relates to a floor brush and a floor scrubber, and the floor brush comprises a housing which is provided with a first end and a second end; the rolling brush is rotatably arranged on the shell and partially extends out of the shell, and the first end and the second end are located on the two sides of the rolling brush at intervals respectively; the dirt scraping assembly comprises a first scraping strip movably arranged at the first end and a second scraping strip arranged at the second end, and the first scraping strip has a ground contact state abutting against the cleaned face and a suspended state separated from the cleaned face; wherein the first scraping strip is in a suspended state when the rolling brush moves in the first direction and is in a ground contact state when the rolling brush moves in the second direction opposite to the first direction, the second scraping strip abuts against the cleaned face when the first scraping strip is in the suspended state, and the first direction is the direction from the second end to the first end. By means of the floor brush, stains remaining on the cleaned face can be reduced when the floor washing machine moves backwards along the cleaned face for operation, the cleaning effect is improved, and the use experience of a user is improved.

The invention provides an intelligent customer service question answering method and device, electronic equipment, a storage medium and a product. The method comprises the steps of obtaining a current question text; inputting the current question text and the historical dialogue text into a pre-trained large language model to obtain a query word; performing information query based on the query word to obtain a query result text; inputting the current question text, the historical dialogue text, the query word and the query result text into the pre-trained large language model to obtain an answer text; and returning the answer text. According to the method, early dialogue content is considered, intelligent customer service questions and answers are carried out in combination with a retrieval enhancement generation technology, the limitation in a long dialogue processing scene can be avoided, the quality and relevance of answers can be improved, and therefore the intelligent customer service use experience of a user is improved.

The invention discloses a micro-pressure oxygen cabin control system and a control method thereof, and relates to the technical field of medical treatment, and the system comprises an oxygen cabin operation monitoring module which is used for monitoring and obtaining information data of a micro-pressure oxygen cabin in real time during working, comprise the running state of the micro-pressure oxygen cabin, the air pressure value in the oxygen cabin, the oxygen concentration in the oxygen cabin and the vital sign state of a user in the oxygen cabin; and a data processing and analyzing module. According to the micro-pressure oxygen cabin control system and the control method thereof, a data processing and analysis module, especially a coupling relation analysis unit, is introduced, an oxygen and pressure dynamic change model is constructed by utilizing an algorithm, the safety of equipment and a user is protected, and the safety of the equipment and the user is improved through an intelligent and automatic control means. The problems of an existing micro-pressure oxygen cabin are effectively solved, the treatment effect and the use safety are improved, and the more advanced and reliable micro-pressure oxygen cabin control system and the control method thereof are provided for the medical field.

The invention provides a motorcycle unlocking and locking method based on low-frequency radio frequency, Bluetooth and communication protocols, and the method comprises the steps: carrying out the phase compensation of a received signal through an iterative optimization equalizer coefficient until the phase distortion is effectively suppressed; a Kalman filtering algorithm is adopted to filter signals of a receiving end, and a filtered high-quality signal is obtained by establishing a state space model of the signals and updating state estimation by using observation values, so that interference of a multipath effect on a pairing process is reduced; in combination with a retransmission mode of a pairing protocol, dynamically adjusting retransmission parameters by tracking the response time and the success rate of a connection request; a Bluetooth pairing process is simulated, and connection success rates under different environment parameter settings are analyzed through a large number of simulation experiments, so that parameter selection of a pairing protocol is optimized.

The utility model provides a fluid supply cup which comprises a rigid outer cup and a cup cover which are matched with each other, a plurality of locking slots are formed in the inner circumference of a cup opening of the rigid outer cup, a plurality of clamping elements are correspondingly arranged on the outer edge of the cup cover, and the clamping elements can be guided into the corresponding locking slots to enable the rigid outer cup to be connected with the cup cover. An anti-falling structure is arranged between the clamping element and the corresponding locking groove gap, the clamping element is screwed into the locking groove gap, the clamping element is gradually transited to the locking matching area from the clearance fit area, and the damping force of the anti-falling structure is matched in the clearance fit area. Limiting matching and locking matching of the clamping element and the locking groove gap are separately arranged, the sequential and ordered matching mode is achieved, when the clamping element is screwed out of the locking groove gap, screwing force overcomes wedge-shaped locking force of a thread structure firstly and then overcomes stopping force of an anti-falling structure, and therefore the problem that disassembly and assembly are difficult due to the fact that the clamping element and the locking groove gap face two kinds of composite resistance at the same time can be avoided; and the problem that the outer cup is easily separated from the cup cover can be avoided.

The invention provides a prediction and management method and system suitable for pollen multi-dimensional information, and the method comprises the steps: carrying out the statistics of historical item data of a display region, inputting the data into a plurality of first-stage models in an initial prediction model, carrying out the training, obtaining an intermediate prediction result, carrying out the combination, inputting the combined data into a second-stage model, and carrying out the training, and generating a pollen prediction model; receiving a plurality of allergy factors set by the user side, acquiring real-time data of the display area based on the allergy factors, inputting the real-time data into the pollen forecasting model to obtain pollen concentration data, and inputting the pollen concentration data into the pollen health influence model for calculation to obtain a pollen influence logarithm; when the pollen influence logarithm is greater than a preset influence value, generating an initial diffusion region corresponding to each planting region based on an allergen display strategy and the planting region of each allergy factor in the display region; and receiving area data of the display area, adjusting the initial diffusion area to determine an allergen area, generating early warning information based on the real-time position information of the user side and the allergen area, and sending the early warning information to the user side.

The utility model discloses an automatic vacuumizing device for a vacuumizing container, and relates to the technical field of vacuumizing containers. The device comprises an upper housing, a lower housing, a control panel mounted in the lower housing, and a vacuumizing pump, an electromagnetic valve and a battery which are connected with a singlechip on the control panel, the device consists of a lower housing with an inverted n-shaped section, an upper housing with an inverted U-shaped section, a vacuum pump, an electromagnetic valve and a battery, wherein the vacuum pump, the electromagnetic valve and the battery are arranged in the lower housing; the connecting ring with the scraping ring is attached to the flat notch in the top of the bottle body, so that the bottle body structure with the flat notch can be used after being tightly attached, and the bottle cover is suitable for being used in cooperation with the bottle body with the smaller size and the smaller upper opening hole diameter. And through clamping cooperation of the first clamping structures and the second clamping structures, the whole automatic vacuumizing device does not need to be locked and fixed through bolts, can be efficiently assembled and is good in stability.

The utility model discloses a coffee machine grinding fine adjusting structure which comprises a grinding cylinder and a grinding assembly located in a grinding cavity of the grinding cylinder, the grinding assembly comprises a movable grinding wheel, a static grinding wheel and a transmission shaft, the transmission shaft is arranged in a base in the center of the grinding cavity, and the input end of the transmission shaft is connected with a driving device of a coffee machine. The movable grinding wheel is arranged at the output end of the transmission shaft, a transmission plate is arranged at the bottom of the movable grinding wheel, a pin column inserted into a pin hole in the bottom surface of the movable grinding wheel is arranged on the inner surface of the transmission plate, the transmission shaft is driven by the driving device to drive the transmission plate to enable the movable grinding wheel to rotate relative to the static grinding wheel, and grinding of coffee powder is achieved. The thread assembly is arranged on the shaft head of the output end of the transmission shaft where the movable grinding wheel is installed, the axial position of the movable grinding wheel on the transmission shaft can be changed by adjusting the thread assembly, bidirectional adjustment of the movable grinding wheel and the static grinding wheel is achieved, the adjusting range of a gap is enlarged, fine adjustment can be completed under the requirement for large thickness, and the grinding wheel can be adjusted conveniently. And the grinding effect and the use experience are improved.

The invention discloses an infant posture intelligent detection and early warning monitoring system which is characterized in that the system comprises an information terminal, a processing side end and a display terminal, and the information terminal comprises a camera and monitors the posture and state of an infant in real time; images and posture information acquired by the camera are transmitted to the processing side end through wireless signals to be analyzed and processed; the processing side end comprises a small computing device with an AI function and a server with an AI processing capability; the small computing device performs preliminary data processing, and then sends the processed data or unprocessed original data to a server with stronger AI processing capability for further analysis; the server analyzes the posture data of the baby through a deep learning algorithm, detects abnormal postures and makes early warning judgment, and an analysis result is transmitted to the display terminal through a wireless signal; the display terminal comprises a plurality of display devices. According to the invention, intelligent detection and real-time early warning of baby postures can be realized, and the stability is good.

The invention relates to the field of hybrid energy storage, in particular to a movable hybrid energy storage device which is applied to an energy storage power supply and comprises a movable frame and an energy storage cabinet body, universal wheels with brake pads are arranged at the bottom of the movable frame, and the energy storage cabinet body is provided with an anti-disengaging assembly used for automatically fixing a plug after the plug is connected with a socket in an inserted mode. The anti-disengaging assembly comprises a guiding bin body, clamping pieces arranged on the periphery of the guiding bin body and a triggering piece which is arranged in the guiding bin body and can synchronously push all the clamping pieces inwards, and the guiding bin body is further provided with a triggering driver which is matched with the triggering piece and pushes all the clamping pieces inwards. Through the linkage of the trigger piece and the clamping piece, the trigger driver is automatically activated when the energy storage power supply is turned on, so that the trigger piece is driven to push the clamping piece, the edge of the plug is limited between the clamping piece and the socket, and the power failure risk caused by loosening or falling of the plug is avoided.

The invention provides a video generation method and device, electronic equipment and a computer readable storage medium, and can be applied to the technical field of artificial intelligence and computer vision. The method comprises the steps that a scene prompt text is generated according to a video content description text input by a user, and the scene prompt text is used for limiting a generation scene of a video; inputting the scene prompt text into the large language model, and outputting at least one video split text; determining a video clip matched with each video split text from a database according to the keyword of each video split text; and generating a target video matched with the video content description text according to the video split text and the at least one video clip.

The invention discloses a robot control method, device and equipment and a storage medium, and relates to the field of robots. If the robot is in the slipping state at present, a task execution device of the robot is lifted to a target height position from a current height position; and after the task execution device ascends to the target height position, the robot continues to be controlled to move. By starting slip detection, when it is detected that the robot slips, the position of the cutter head is adjusted to avoid subsequent continuous slip of the robot, and the use experience of a user is improved.

The invention discloses a water pan and an air conditioner. The air conditioner is provided with an air outlet part, the air outlet part is provided with an air outlet space, the water pan comprises a water receiving part, the water receiving part is provided with a water receiving groove, the water receiving groove is adjacent to the air outlet part, and a cold insulation structure is arranged at the end, close to the air outlet part, of the water receiving part so as to reduce heat transfer between the water receiving part and the air outlet part. The cold insulation structure is arranged at the end, close to the air outlet part, of the water receiving part, so that heat transfer between the water receiving part and the air outlet part is reduced, namely, a cold bridge between the water receiving part and the air outlet part is cut off, and therefore the influence of the low temperature of the water receiving part on the air outlet part can be reduced, the temperature of the air outlet part can be increased, and the service life of the air conditioner is prolonged. And the risk of water dripping caused by condensation generated by the air outlet part is reduced, and then the use experience of a user is improved.