216results about How to "Quick judgment" patented technology

The invention relates to the technical field of monitoring or controlling a charging station, in particular to a charging pile safety monitoring method and system, and the method comprises the following steps: step 1, monitoring: step 1.1, electric leakage monitoring: installing a high-sensitivity electric leakage sensor in a charging pile and a charging gun line, continuously monitoring the electric leakage current in real time, and monitoring the electric leakage current in real time; the monitoring frequency is that data are collected once every 10 milliseconds; step 1.2, overload and short circuit monitoring: real-time current change of a charging circuit is monitored by using a current transformer, and the acquisition frequency is once every 5 milliseconds; step 1.3, monitoring the temperature; according to the scheme, through monitoring of electric leakage, overload and short circuit, temperature, smog and flame, charging gun safety, vision and the like in combination with intelligent analysis, the operation state and the surrounding environment condition of the charging pile can be comprehensively, timely and accurately mastered, electrical faults, temperature anomalies and potential safety hazards can be rapidly detected and judged, and the safety and reliability of the charging pile are improved. And all-around real-time monitoring of the potential safety hazard of the charging pile is realized.

The invention relates to the technical field of network security, in particular to a method and device for detecting illegal external connection of a terminal and a storage medium, and the method comprises the steps: obtaining all terminal equipment connected with a local area network, distinguishing authorized terminal equipment and unauthorized terminal equipment through authorization detection, and carrying out the risk grading of the authorized terminal equipment; the method comprises the following steps: generating an external connection behavior data set by combining client monitoring data, network layer monitoring data and intranet detection data, extracting key information such as an external connection target, access time, a protocol type and a port number, and dividing into pure intranet connection equipment, normal external connection equipment and unknown external connection equipment according to external connection permissions; inputting the log data of the unknown external connection equipment into the log anomaly detection model based on the Transform architecture, identifying an abnormal event, and calculating a log risk score; and if the log risk score exceeds a preset threshold, determining that the device is an illegal external connection device. According to the method, accurate detection of illegal external connection behaviors is realized, and the safety performance of a monitoring system is remarkably improved.

The invention discloses an intelligent power distribution network fault positioning method and system, and relates to the technical field of power distribution networks, and the method comprises the steps: collecting voltage amplitudes and frequency signals in real time through deploying a distributed collection device at each node, and calculating a spatial distribution rule to generate a feature template library; generating a node state label matched with the fault mode in combination with the topological structure and the amplitude-frequency distribution characteristics of the power distribution network; designing a fault positioning model based on a graph convolution network, introducing a space-time convolution and distribution rule comparison module, extracting a fault mode and realizing node fault state prediction; collecting real-time data after the fault occurs, calculating the matching similarity between the distribution characteristics and the template library, and comprehensively judging the type and the specific position of the fault; and dynamically updating the distribution template library and optimizing the model algorithm by testing the performance of the model in different scenes. The method is suitable for a complex power distribution network scene, and can realize efficient fault diagnosis especially under the conditions of distributed power supply access, dynamic topology and noise interference.

The invention provides a mistaken taking and mistaken placing early warning method and system suitable for an unmanned aerial vehicle accessory storehouse, and relates to the technical field of intelligent warehousing, and the method comprises the steps: obtaining real-time operation image data through an image collection device, collecting accessory position data through a distributed sensor network, and generating an accessory operation data flow through standardization processing; the deep learning recognition model recognizes operation behavior types and accessory feature information, and real-time space position coordinates of accessories are calculated in combination with a three-dimensional space positioning algorithm; and the early warning analysis model judges the operation intention, matches the accessory information in real time, compares the warehouse three-dimensional virtual model, and pushes early warning information and carries out visual marking when wrong operation is detected.

The invention discloses a video image defect detection and identification processing method and system, and the method comprises the following operation steps: obtaining a to-be-detected workpiece image of industrial video network data, carrying out the graying of the to-be-detected workpiece image, and obtaining a to-be-detected workpiece gray image; calculating gray values of pixel points in the gray image of the to-be-detected workpiece; distinguishing suspected pixel points according to the gray values of the pixel points, and clustering the suspected pixel points to obtain suspected areas; calculating the defect probability according to the suspected area; and judging whether the to-be-detected workpiece image has defects or not according to the defect probability.

The invention discloses an urban toughness comprehensive evaluation and management system under multiple disasters, and relates to the technical field of urban toughness evaluation and management, and the system is characterized in that the output end of a multi-disaster and urban system monitoring device is connected to a multi-disaster and urban system database, and is responsible for monitoring disaster data and urban data; the multi-disaster and city system database is bidirectionally connected with the multi-disaster city toughness comprehensive evaluation and management module and stores data generated by the multi-disaster and city system monitoring equipment and the multi-disaster city toughness comprehensive evaluation and management module; and the multi-disaster city toughness comprehensive evaluation and management module is bidirectionally connected with the multi-disaster city toughness comprehensive evaluation and management system display end. By simulating multiple disasters and coupling action load fields thereof, the physical damage and function decline degree of an urban engineering system are analyzed, the urban multi-disaster risk level and toughness level are calculated, and post-disaster emergency decision technical support is provided.

The invention discloses a water quality data monitoring system and method applied to a shallow sea buoy, and relates to the technical field of seawater monitoring and repairing, and the system comprises a data acquisition module, a buoy adjustment module, a seawater monitoring module, a seawater analysis module and a real-time monitoring module, the data acquisition module is used for regularly acquiring water quality detection data transmitted by buoys at all point positions of the shallow sea, calculating water evaluation values according to the water quality detection data and then calculating abnormal values of all the water quality detection data based on the water evaluation values; the technical key points are as follows: during use, water quality detection data are analyzed, multiple items of data of monitored water quality are comprehensively analyzed to calculate water evaluation values, then an abnormal value between the water evaluation values between buoys is calculated by utilizing the principle that pollution diffusion needs a certain time, and the difference of seawater quality can be clearly and intuitively known through the abnormal value. Therefore, whether the seawater is polluted or not can be clearly known, and the method is relatively simple and has a good application prospect.

The invention belongs to the technical field of biomolecules, and particularly relates to an SMAD7 gene for judging chicken sex and application. Through the molecular marker and the design of a new PCR primer, the migration distance difference of two bands amplified by a ZW chromosome is 299bp, and compared with the migration distance difference of 150bp of a traditional sex identification gene CHD1 amplification system, the migration distance difference of the bands of the two items is larger, and judgment is easier; the fragments amplified by the designed PCR primer are smaller and are only 517bp and 816p, the PCR amplification time is remarkably shortened, and the sex identification time is shortened; in addition, amplification and agarose gel electrophoresis can be directly carried out by extracting chicken tissues, the sex of the chicken can be rapidly judged according to an electrophoresis result, the DNA extraction time is shortened, the time length can be controlled within 1 hour, operation is easy, the identification result is accurate, basic-level application and popularization are facilitated, and the method has a wide market application prospect.

The invention relates to a method for intelligently judging the type of a single-phase earth fault in a power supply and distribution system, which is suitable for connecting arc extinguishing equipment to a system bus and is parallel to each feeder line connected to the system bus. Wherein the working stage of the arc extinguishing equipment is divided into an arc extinguishing equipment awakening stage, a fault phase selection arc extinguishing stage and a fault type line selection stage. When a single-phase earth fault occurs in the range of a system line where the arc extinction equipment is located, the arc extinction equipment is quickly awakened and enters a fault phase selection arc extinction stage, and the single-phase earth fault occurring in the system line can be quickly processed through three links of phase selection, verification and arc extinction. And the method has the capabilities of fault tolerance, error correction and severe transient process suppression in the processing process. A three-phase split-phase switch driven by eddy current is selected as a phase selection switch in the arc extinction equipment, and the two-phase switch cannot be switched on or switched off at the same time due to disorder switching-on and switching-off programs when the arc extinction equipment performs phase selection action due to the wiring mode of each phase switch coil panel in the three-phase split-phase switch.

The invention belongs to the technical field of graphite crucible production, and particularly relates to a quality inspection device and method for graphite crucible production, and the device comprises a detection table, the top surface of the detection table is fixedly provided with a plurality of sliding rods, the top ends of the plurality of sliding rods are fixedly provided with the same top table, and the plurality of sliding rods are slidably provided with a lifting table; the lifting table is located above the detection table, a U-shaped lifting plate is fixedly installed on the bottom surface of the lifting table, fixed plates are fixedly installed on the two sides of the interior of the U-shaped lifting plate, connecting plates are rotatably installed on the two fixed plates, and movable plates are rotatably installed on the top surfaces of the two connecting plates. The other adjusting assembly is started to drive the other movable plate to rotate, the lower pressing block is made to rotate to the position above the graphite crucible, at the moment, the lower pressing block is driven to descend through the lifting assembly, and due to the fact that the pressure sensor is arranged at the bottom of the lower pressing block, the pressure sensor can monitor the pressure resistance of the graphite crucible in real time.

The invention belongs to the technical field of energy management, and particularly relates to a regional energy management optimization method based on edge computing and multi-objective optimization, which comprises the following steps of: determining edge equipment with qualified processor performance based on processor performance parameters of the edge equipment, establishing an edge equipment site diagram based on geographical sites of the qualified edge equipment, applying the initial multi-objective optimization scheme to the regional energy simulation model, obtaining an energy efficiency evaluation value and an energy efficiency comprehensive difference value, comparing the source efficiency comprehensive difference value with an energy efficiency comprehensive difference standard value stored in a database, matching a pre-selected management optimization scheme, and applying the pre-selected management optimization scheme to the regional energy simulation model, and based on the optimal management optimization scheme, adjusting an optimization scheme decision according to a real-time evaluation result. According to the invention, the flexibility of overall regional energy management can be improved, and sustainable development of long-term regional energy management can be maintained.

The invention provides a capacitance detection method, system and device and a storage medium, and relates to the technical field of capacitance detection. The method comprises the following steps: acquiring a capacitance type and a parameter range of a measured capacitor, and matching with a preset resonance library according to the capacitance type and the parameter range to obtain a target resonance inductance parameter; constructing a target LC resonance test circuit based on the target resonance inductance parameter, the capacitor type and the parameter range, and measuring the tested capacitor based on the target LC resonance test circuit to obtain resonance response data; and analyzing the resonance response data to obtain a capacitance performance index. Through the scheme, the capacitor testing efficiency is improved.

The invention relates to the technical field of children respiratory diseases, and discloses an intelligent diagnosis auxiliary system and method for children respiratory diseases. The intelligent diagnosis auxiliary system comprises a physiological data acquisition module, an environmental data acquisition module, a children data analysis module and an auxiliary early warning module. According to the system, a child physiological risk coefficient is obtained by analyzing a child sleep coefficient, a child motion coefficient and a child symptom coefficient, meanwhile, all activity sites of a current child in a week and risk values in the sites are obtained, and a child environment risk coefficient is obtained through comprehensive calculation; the child physiological risk coefficient and the child environment risk coefficient are synthesized to obtain a comprehensive risk coefficient, and if the comprehensive risk coefficient exceeds a set threshold value, a part issued by a patient with the largest similar value with the comprehensive risk coefficient of the current child and the same age is taken to be displayed to a doctor. Therefore, the doctor can quickly judge and diagnose the pathogenesis of the child patient.

The invention discloses an optical fiber sensing system and method for on-line monitoring in human knee arthroplasty. The optical fiber sensing system comprises an optical fiber grating pressure sensing probe 1, a sensing optical cable 2, a signal acquisition and communication module 3, an optical fiber grating demodulation module 4 and a computer display module 5, the pressure sensing probe is connected to the fiber bragg grating demodulation and processing module through a transmission optical cable for signal decoupling, result data is transmitted to the computer for processing through the signal acquisition and communication module, the influence of temperature fluctuation on the measurement precision is eliminated through a difference algorithm, and the display screen displays the pressure at different positions in the operation process in real time. And chart analysis and surgical operation parameter AI optimization can be carried out on the stored data. Due to the application of the system technology, inherent defects of knee joint balance caused by subjective judgment of surgeons are greatly reduced, reference can be provided for the doctors to evaluate soft tissue tension in total knee arthroplasty, and then the success rate of the operation is increased.

The invention belongs to the technical field of power grid grounding fault positioning, and discloses a power distribution network overhead line single-phase grounding fault positioning method and a power distribution network overhead line single-phase grounding fault positioning system. Collecting an electric field signal and a magnetic field signal on the detected overhead line to calculate a voltage instantaneous value, a current instantaneous value and respective full-cycle Fourier amplitude; integrating the product of the voltage instantaneous value and the current instantaneous value in one period, dividing the integral value by the product of the full-cycle Fourier amplitude of the voltage instantaneous value and the current instantaneous value to obtain a ratio coefficient at different positions on the detected overhead line, so as to construct a function of the ratio coefficient with respect to the different positions on the detected overhead line; a single-phase earth fault occurs at the maximum value point of the first derivative of the function. Reverse power transmission is carried out on the basis that a vehicle-mounted power supply is combined with a distribution transformer, the amplitude of an injection signal is enhanced, rapid and accurate positioning of a single-phase earth fault point of the power distribution network is achieved in cooperation with an electric field and magnetic field sensor carried by the unmanned aerial vehicle, and the reliability of power supply is improved.

The present invention provides a distribution network fault detection and positioning method based on feeder information, and the distribution network fault detection and positioning method comprises the following steps: (1): collecting the current signals of each phase, the voltage signals of each phase, the zero-sequence voltage signal, and the feeder overcurrent signals at each node of the distribution network line; (2): judging whether the distribution network line has a fault according to the phase current signal and the phase voltage signal, and if so, entering (3); if not, returning to (1); (3): determining the fault type; (4): determining the fault phase; (5): extracting the feeder overcurrent signals at each node of the fault phase; (6): determining the fault section. The present invention provides a distribution network fault detection and positioning method based on feeder information, which can quickly judge and determine the feeder and section where the fault point is located.

The invention discloses a rapid diagnosis method for potassium nutrition of sweet potatoes, which comprises the following steps: measuring potassium concentrations of inverted 5 petioles and positive 1 petioles, calculating a difference value, fitting by taking a horizontal coordinate as a petiole concentration difference and a vertical coordinate as a relative yield, and constructing a regression equation 1 of the petiole potassium concentration difference and the relative yield; according to the regression equation 1, taking the corresponding petiole potassium concentration when the relative yield is maximum as the critical concentration of plant potassium nutrition diagnosis; performing correlation analysis on the plant potassium absorption amount and the petiole potassium concentration difference value to obtain a regression equation 2; comparing the measured value with the critical value petiole potassium concentration, determining the topdressing coefficient, and calculating the topdressing amount in the period. The diagnosis method can timely and accurately judge the potassium nutrition condition of the sweet potato plants, provides a basis for subsequent accurate application amount of sweet potato potash fertilizer, and can improve the yield and quality of sweet potatoes.

The invention provides a vehicle interaction control method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle interaction control, the vehicle interaction control method and device are applied to a vehicle-mounted terminal, the vehicle-mounted terminal comprises at least two terminal equipment, and the method comprises the steps that in response to a steering wheel control signal, the number of active equipment in all the terminal equipment is judged; when the number of the active devices is larger than or equal to 2, at least one active device is determined to serve as a target response device according to a preset interaction signal, the preset interaction signal occurs before the steering wheel control signal is triggered, and when the preset interaction signal is a touch interaction signal, at least one active device is determined to serve as a target response device. The active device where the touch interaction signal closest to the triggering time of the steering wheel control signal is located serves as the target response device; and changing the state of the target response equipment according to the steering wheel control signal, so that a driver can conveniently control the terminal equipment to be controlled from a plurality of terminal equipment.

The embodiment of the invention provides an environment quality evaluation method based on a three-dimensional grid, and is applied to the technical field of environment quality evaluation and monitoring. The method comprises the following steps: acquiring an atmospheric environment measured data sequence of a target grid at the current moment; calculating an air quality index at the current moment according to the measured data sequence of the atmospheric environment at the current moment; determining an environment quality state at the current moment according to the air quality index at the current moment; comparing the environment quality state at the current moment with the environment quality probability sequence at the current moment; the environment quality probability sequence at the current moment is obtained by carrying out environment quality probability prediction according to the environment quality state at the previous moment and diffusion influence data of the target grid; and if the environment quality state at the current moment falls into the maximum probability range in the environment quality probability sequence at the current moment, predicting the environment quality probability sequence at the next moment according to the environment quality probability sequence at the current moment. In this way, the accuracy of environment quality assessment can be improved.

The invention relates to a silicon wafer defect detection method. The method comprises the following steps: providing a silicon wafer sample with oxygen concentration lower than 9ppma; carrying out first heat treatment on the silicon wafer sample under a first preset condition so as to generate oxygen evolution nucleation in a P-band region, a B-band region and / or an IDP region; performing secondary heat treatment on the silicon wafer sample under a second preset condition to generate oxygen evolution nucleation in a VDP region; performing third-time heat treatment on the silicon wafer sample under a third preset condition, so that oxygen evolution nuclei generated in the first-time heat treatment and the second-time heat treatment grow; and carrying out minority carrier lifetime test on the silicon wafer sample. Through a three-section heat treatment method, the oxygen precipitation amount of a part of crystal characteristic areas is increased, so that crystal characteristic area boundary distinguishing can be clearly carried out on a silicon wafer with the oxygen concentration below 9ppma.

The invention provides an improved triplet neural network-based industrial control intrusion detection method and system, and the method improves the convergence speed of a model and reduces the training calculation cost through constructing an improved triplet neural network model with any triple sample as input and combining a self-attention mechanism and an optimized loss function design. Real-time network flow is input into the improved triplet neural network, the distance between the improved triplet neural network and the mass center of a normal sample and the distance between the improved triplet neural network and the mass center of an abnormal sample are calculated and compared with a preset threshold value, and therefore whether intrusion behaviors exist or not is judged. The method can effectively monitor and identify the abnormal activity in the industrial network, and has high detection precision and real-time performance.

The invention relates to the technical field of intelligent control, and particularly discloses an electric bicycle automatic production line intelligent control system comprising a data acquisition module used for acquiring detection data of stamping finished products; the data processing module is used for calculating a quality coefficient; the quality evaluation module is used for evaluating the quality of the stamped finished product, judging whether the quality of the stamped finished product is qualified or not and generating a quality evaluation signal; the relevance evaluation module is used for analyzing whether the quality of the stamped finished product is related to the stamping pressure or not and generating a relevance evaluation signal; the regulation and control module is used for regulating and controlling the stamping pressure in the stamping process based on the associated signals; according to the method, the quality of the stamped finished product is analyzed in multiple dimensions, so that the scientificity and the accuracy of quality evaluation are improved, and powerful technical support is provided for quality control of the manufacturing industry; the regulation and control strategy is based on real-time data feedback and predictive analysis, fine control over the stamping process is achieved, and the product quality and the production efficiency are improved.

The invention relates to a circuit board backdrill capacitance testing method, device and equipment and a storage medium, and the method comprises the steps: obtaining a capacitance detection instruction, and obtaining the image information of a to-be-detected circuit board according to the capacitance detection instruction; carrying out clustering analysis on the image information of the to-be-detected circuit board by adopting a k-means algorithm to obtain a feature image of the to-be-detected circuit board, and carrying out analysis according to the feature image to obtain a displacement distance and an angle of the probe; adjusting the position of the probe according to the displacement distance and the angle of the probe, and generating a capacitance measurement message after the adjustment of the probe is completed; according to the capacitance measurement message, calculating a capacitance value of the circuit board to be detected through a capacitance method, and comparing the capacitance value of the circuit board to be detected with a preset capacitance value to obtain a capacitance comparison result; and generating a quality evaluation result of the back drilling hole of the circuit board according to the capacitance comparison result, and transmitting the quality evaluation result of the back drilling hole of the circuit board to the user side. The method has the effect of improving the precision and efficiency of back drilling hole quality detection.

The invention discloses a power grid equipment defect text and technical supervision detailed rule automatic association method and system. The method comprises the steps of extracting a first feature in target defect text data and at least one second feature in at least one target technical supervision detailed rule data; calculating the similarity between the first feature and the at least one second feature by adopting a multi-factor weighted matching method to obtain a comprehensive score of each similarity, and sorting the comprehensive scores of each similarity based on the score value to obtain a comprehensive score sequence of similarity; and selecting at least one target similarity comprehensive score from the similarity comprehensive score sequence according to a preset interception rule, and associating the defect text data corresponding to the at least one target similarity comprehensive score with the technical supervision detailed rule data. According to the method, related technicians can be helped to get rid of the traditional tedious process of manually searching information in a lengthy and complex document, and the necessary technical supervision information is rapidly extracted by using an intelligent association tool.

The embodiment of the invention discloses a forest fire monitoring method and device and an unmanned aerial vehicle nest forest fire monitoring system. The mountain fire monitoring method comprises the following steps: receiving mountain fire early warning information emitted by a satellite; controlling the unmanned aerial vehicle to detect a fire point according to the forest fire early warning information, and collecting forest fire information at the fire point; and according to the forest fire information, determining a forest fire type and whether early warning information is sent. According to the technical scheme provided by the embodiment of the invention, the forest fire can be timely and accurately found, the position of the forest fire can be determined, the cause of the forest fire is speculated, whether the forest fire belongs to natural fire or artificial fire is judged, the type of the forest fire is accurately determined, and the corresponding forest fire early warning information is sent at the first time. Therefore, related personnel can take corresponding fire extinguishing measures, the precision and efficiency of forest fire detection are improved, and the property loss is reduced.

The invention provides an isogeometric topology optimization method and device based on a volume space domain mapping model, equipment and a medium, and relates to the technical field of isogeometric topology optimizing.The method comprises the steps that a mapping point set is obtained according to triangular patch information of a geometric model to be optimized, and an initial mapping volume model is generated based on the mapping point set and a three-dimensional NURBS volume; generating a reconstruction mapping body model; marking a design domain based on the reconstructed mapping body model, assembling a preset target structure parameter matrix, and constructing a preset isogeometric topology optimization model by taking a model construction parameter of the design domain as a design variable and taking a minimum preset target structure parameter as an optimization target; and updating design variables of a preset isogeometric topological optimization model by adopting an optimization criterion method based on the sensitivity until a preset convergence condition is met, and obtaining a target geometric model corresponding to the geometric model to be optimized, so as to solve the problem that an existing isogeometric topological optimization method is difficult to be applied to topological optimization engineering of a complex topological structure model.

The invention discloses a construction method and application of an HPLC (High Performance Liquid Chromatography) standard fingerprint spectrum of Gaoguaping capsules, and belongs to the technical field of quality control of traditional Chinese medicine preparations. According to the construction method of the HPLC standard fingerprint spectrum of the Gaoguaping capsule, multiple active ingredients in the capsule are accurately separated and detected through a high performance liquid chromatography technology in combination with gradient elution and specific chromatographic conditions. The constructed standard fingerprint spectrum contains 23 common peaks and 13 characteristic fingerprint peaks, and can ensure the consistency and stability of different batches of capsules. The fingerprint spectrum can be used for quickly and accurately judging the quality of capsules and improving the detection efficiency. In addition, the fingerprint also reveals the distribution of each medicinal material component in the fingerprint, and a clue is provided for medicinal material traceability and quality control. The method has the advantages of being simple, efficient and good in repeatability and stability, can be used for quality control and product quality identification of the Gaoguaping capsules, and provides effective guarantee for clinical application.

The invention provides a regression test range determination method and device, equipment and a medium, and relates to the technical field of software test.The method comprises the steps that under the condition that a software system is subjected to a regression test, a system data list and a function change list of the software system are determined; determining a corresponding database table field according to the system data list and the function change list; determining a target test node according to the database table field and the data blood relationship map of the software system; and based on the target test node and the system data list, determining a regression test range of the software system. According to the method, a data consanguinity analysis technology is introduced in the range judgment process of the regression test, the range of the regression test is judged more accurately and quickly from the analysis result of the data association relationship, and therefore the labor cost and the time cost of project investment are reduced under the condition that the system quality is guaranteed.

The invention discloses a jaw clutch pull-in detection method and device based on machine vision and a medium, and the method comprises the following steps: obtaining an image of a tooth gap region of a jaw clutch, and carrying out the preprocessing of the image; performing edge detection on the preprocessed image by using an improved Canny operator to obtain the edge of the clutch backlash; detecting parallel straight lines in the edge image by adopting a Hough transform method, wherein the parallel straight lines are used for representing upper and lower edges of the backlash; a parallel straight line pair is screened out through a mean shift clustering method, the pixel width of the parallel straight line pair is calculated, and the pixel width is converted into the actual backlash width; and determining the pull-in state of the jaw clutch according to the actual backlash width. According to the invention, the pull-in state of the clutch can be accurately judged, and the automation and intelligence level of an industrial field can be improved.

The present invention discloses a two-dimensional force detection mechanism, a detection method and a robot. The two-dimensional force detection mechanism comprises: a clamping claw assembly that can be opened or clamped, a rotating assembly, a suction assembly, a push-pull assembly, a two-dimensional force detection assembly and a control device. The two-dimensional force detection mechanism provided by the present invention can detect the torque of the rotating part of a product and the push-pull force of the push-pull part of the product. The same two-dimensional force detection mechanism can be used to complete the detection of torque and push-pull force, avoiding the tedious operation of replacing the detection device in the middle, and simplifying the process of two-dimensional force detection of the product. In addition, the control device of the two-dimensional force detection mechanism provided by the present invention can compare the detected torque with the preset torque, and compare the detected push-pull force with the preset push-pull force, so that the judgment process is quick and convenient.