48results about How to "Easy to analyze and process" patented technology

The invention relates to a flexible pressure sensor and a preparation method thereof. The preparation method of the flexible pressure sensor comprises the steps of providing a flexible conductive substrate, etching one surface of the flexible conductive substrate by adopting first laser to form a first microstructure with the same height, and then etching the side wall of the first microstructure by adopting second laser to form a hierarchical microstructure with at least one annular groove, a first flexible substrate is obtained; providing a second flexible substrate, wherein the second flexible substrate comprises a second flexible substrate and an electrode arranged on one surface of the second flexible substrate; and arranging a second flexible substrate on the first flexible substrate in a laminated manner, and enabling an electrode to be in contact with the hierarchical microstructure, thereby obtaining the flexible pressure sensor. The flexible pressure sensor prepared by the preparation method not only can maintain high sensitivity, but also has a wide detection range, and can maintain a good linear relation of output signals.

The invention discloses an intelligent illumination communication control method and system, and belongs to the field of intelligent illumination control, and the method comprises the steps: collecting an area image of illumination covered by an illumination lamp source array; transmitting the regional image, and performing portrait recognition and division to obtain a plurality of user regions; an image of a user area is collected, multiple marked area images are obtained, user type identification is carried out, multiple user type information is obtained, user feature identification is carried out, and multiple user feature identification results are obtained, so that an illumination control scheme of an illumination lamp source array is optimized, an optimal illumination control scheme is obtained, and the illumination lamp source array is controlled. The technical problem that the illumination effect of the illumination lamp source array is poor due to the lack of real-time capture and recognition of user features in the prior art is solved, and the technical effects that the illumination control scheme is optimized by recognizing the feature information of different types of users, illumination lamp source control is performed, and the illumination effect is improved are achieved.

The invention relates to the technical field of eutectic equipment, in particular to an elastic suction nozzle assembly, eutectic equipment and an eutectic method. The elastic suction nozzle assembly comprises a base, at least two suction nozzles arranged on the base and elastic assemblies arranged corresponding to the suction nozzles. The suction nozzle comprises a connecting section and a working section which are connected; two ends of the elastic component are connected with the base and the connecting section of the corresponding suction nozzle; the base is provided with a through avoiding channel, the working section is movably located in the avoiding channel, and the working section penetrates through the avoiding channel from one side of the base and is exposed out of the other side of the base. The working section is provided with a vacuum air path and a perspective window arranged corresponding to the vacuum air path; external light can pass through the perspective window and the vacuum air path in sequence and then penetrate out of the adsorption opening of the suction nozzle. According to the scheme, multiple chips can be mounted and elastically abutted at the same time, the positions of the chips are allowed to be obtained in the mounting process, so that the chips are adjusted in real time, and efficient mounting and real-time calibration capacity of the multiple chips are achieved.

The invention discloses a carbon sequestration capability value evaluation system and method for a river and lake water ecosystem, and the system comprises a data collection module which is used for collecting different types of vegetation samples in a target region and corresponding vegetation image data; the ground monitoring terminal comprises a data analysis processing module which is used for processing the collected vegetation samples to obtain carbon content data of different types of vegetation, obtaining vegetation biomass data of different types of vegetation according to the vegetation samples and the vegetation image data, and sending the vegetation biomass data to the ground monitoring terminal; calculating carbon sequestration capability data of different types of vegetation according to the vegetation biomass data and the carbon content data; the evaluation module evaluates the carbon sequestration capacity value of the target area based on the sum of the carbon sequestration capacity data of different types of vegetation, and the mode is beneficial to understanding the influence of the vegetation types on the carbon sequestration capacity value of the river and lake water ecosystem, facilitates the formulation of ecological protection policies, and improves the pertinence and effectiveness of the control and protection of the river and lake water ecosystem.

The invention discloses a traditional Chinese medicine analysis and identification system, method, equipment and medium based on a large model, and the system comprises a data collection module which is used for collecting multi-dimensional data of traditional Chinese medicines, a data preprocessing module which is used for carrying out the cleaning, standardization processing and feature extraction of the collected data, and a data analysis module. The data processing module is used for analyzing and processing received data by utilizing a pre-trained deep large model, the result output module is used for outputting an analysis result to a user in a visual manner, and the analysis result output module comprises a visual chart, a detailed report form and an intelligent feedback module according to the feedback of the user on the analysis result and the actual application condition. Through multi-dimensional data acquisition, advanced preprocessing, deep large model analysis and the like, the practicability is improved by modules of accurate identification, intelligent feedback, collaborative analysis and the like of the traditional Chinese medicine, data updating and the like ensure that the system advances with the times, powerful technical support is provided for industrial development of the traditional Chinese medicine, and the quality and safety of the traditional Chinese medicine are guaranteed.

The invention is suitable for the technical field of lasers, and provides a pulse laser performance test system, a pulse laser performance test method and a control device. The pulse laser used for realizing different functions and generating corresponding to-be-tested performance parameters is connected with the control device; presetting test items of various performances of the pulse laser through the control equipment; at least two test devices are respectively connected with a control device, and the test devices are used for analyzing and testing the performance parameters to be tested of the pulse laser and sending obtained test results to the control device, so that the control device records the corresponding performance test results. By setting information such as various testing modes in the control equipment in advance, full-automatic testing of various parameters of the pulse laser is achieved, in addition, multi-equipment cooperative testing can be achieved, and the production efficiency is improved.

The invention provides a differential coordination test device for an AC power system protection switch, which is used to verify the differential coordination of distribution switches at various levels under different short-circuit currents. The device comprises: a PLC, a pulse application port, a drive circuit, an adjustable resistor group, and an adjustable capacitor and inductor group. The adjustable resistor group and the adjustable capacitor and inductor group are connected to a three-phase AC power circuit with a multi-level distribution switch, and the adjustable resistor group and the adjustable capacitor and inductor group are adjusted through the pulse application port and the drive circuit controlled by the PLC, so that the current in the circuit is adjusted to perform a differential coordination test. A three-phase AC contactor is provided, and when the adjusted current is too large, the circuit is disconnected to ensure safety. A communication module is provided, and the experimental data collected by the PLC is uploaded to a network to facilitate analysis and processing.

The application discloses an underground space unmanned sensing and detecting system and method, wherein an unmanned detecting carrier platform acquires underground space surface layer data through a sensing radar holder and a unmanned aerial vehicle; then, the detecting target area is determined and the driving path is planned according to the acquired data; meanwhile, the unmanned detecting carrier platform places self-organizing network relay nodes at different positions through a mechanical arm and in combination with signal strength, so that a self-organizing network is finally formed, and the communication between the unmanned detecting carrier platform and the unmanned aerial vehicle in the underground space is ensured to be normal; when the unmanned detecting carrier platform drives to the target area, a seismic observation system is formed through the laid node type detector, and an active seismic source and a transient electromagnetic detecting device are started respectively, so that the seismic wave data and the transient electromagnetic data of the target area are acquired; the application can realize the sensing modeling of the underground space in an unmanned mode, and can also accurately acquire the detecting data of the whole underground space, thereby being convenient for the subsequent analysis and processing of the underground space data.

The present invention discloses a power system peak-shaving demand assessment system, comprising a collection layer, a transmission layer, an edge cloud layer and a management platform; the collection layer is used to collect data; the transmission layer is used to transmit the data collected by the collection layer; the edge cloud layer is used to receive and process data, and the processing of data by the edge cloud layer includes preprocessing and analysis processing; the management platform includes a prediction model, an evaluation model and a visualization module; the present invention quickly processes data through the edge cloud layer to reduce the calculation pressure of the management platform; the management platform includes a prediction model, which predicts power generation through the prediction model, and the management platform includes an evaluation model, which evaluates the peak-shaving process through the evaluation model, and the evaluation and prediction can correspond to each other, so as to facilitate timely regulation when the peak-shaving power is insufficient, and maintain the accurate control of the power in the peak-shaving process.

The invention discloses an efficient heat dissipation and cooling system for a liquid cooling charging pile group, and relates to the technical field of liquid cooling charging piles, the efficient heat dissipation and cooling system comprises a liquid cooling module, a heat dissipation module and a temperature control module, the liquid cooling module comprises a liquid cooling plate, a water pump, a water tank and a cooling box, and a cooling liquid circulating pipeline is arranged in the liquid cooling plate; the input end of the cooling liquid circulating pipeline is fixedly connected with the output end of the water pump, the output end of the cooling liquid circulating pipeline is fixedly connected with the input end of the water tank, the input end of the water pump is fixedly connected with the output end of the water tank, the bottom of the water tank is fixedly connected with the cooling box, and the heat dissipation module comprises a liquid nitrogen cooling module and a heat conduction plate. The heat conduction plate is located on the outer wall of the cooling box, and the liquid nitrogen cooling module is located on the outer side of the heat conduction plate. Through mutual cooperation of the liquid cooling module and the heat dissipation module, rapid cooling and heat dissipation of cooling water of the liquid cooling charging pile are achieved, so that the low-temperature state of the cooling liquid every time is guaranteed, and normal heat dissipation is guaranteed.

The invention discloses a method for acquiring an image of an outer side wall of a product with any shape, appearance detection equipment and a method for acquiring an image of an outer side wall of a product with any shape, which are suitable for detecting a material with a cambered surface. Comprising the following steps that materials are transferred and / or rotated to enable the real-time posture of the materials to be the same as a preset posture, the preset posture enables the relative positions of the coordinates of all positions of the materials and the coordinates of the focus point of a line scanning camera to be determined, and therefore the shooting starting point position and the shooting end point position are determined, and it is also guaranteed that when the materials are transferred and rotated according to a preset path subsequently, the shooting time is shortened; a corresponding effect can be achieved; the materials are transferred and rotated according to the preset path, meanwhile, the line scanning camera obtains the images of the materials, the distance between the materials and the line scanning camera is kept unchanged through the preset path, it is guaranteed that the materials are not out of focus, and clearer images are obtained. And a clear image of the whole surface can be obtained through the line scanning camera, and only one image is provided, so that subsequent analysis and processing are facilitated.

The invention discloses an intelligent skeleton control device. Comprising a sensor module, an actuator module, a control module, a processing module and a safety braking module, the sensor module is electrically connected with the processing module, the processing module is electrically connected with the control module, the control module is electrically connected with the actuator module, and the safety braking module is electrically connected with the actuator module. The control module is further electrically connected with the safety braking module. The motion trend of the human body is decomposed in combination with the inclination detected by the gyroscope, so that the motion intention of each pressure sensor can be decomposed into motion information in the X-axis direction, the Y-axis direction and the Z-axis direction, all the pressure sensors are fused, and the fusion processing of the motion information is more accurate. The motion state can be conveniently analyzed and processed through model prediction control, and a motion instruction is generated; and under the condition of abnormity, the movement of the exoskeleton is stopped immediately through the safety braking module.

The utility model relates to the technical field of automatic test systems, in particular to an automatic test system for a vector network analyzer, which comprises a test computer, a communication converter, a development board, a first programmable power supply, a second programmable power supply, a digital multimeter, a vector network analyzer, a frequency spectrograph and a test board. The communication converter communicates with the USB interface, and the first programmable power supply is electrically connected between the communication converter and the test board; the development board communicates with the serial interface, and the development board is electrically connected with the test board; the second programmable power supply, the digital multimeter, the vector network analyzer and the frequency spectrograph are respectively connected with the test board electric box, and the second programmable power supply, the digital multimeter, the vector network analyzer and the frequency spectrograph are respectively communicated with the network interface through a local area network. According to the automatic testing system, the efficiency is improved, the testing data are more accurate, the performance of the device can be reflected more truly, and meanwhile, the stored data result is also convenient to analyze and process.

The present invention relates to a liquid rocket engine ground test technology, and specifically to a rocket engine test equivalent device test system and a test method thereof. The present invention solves the technical problem that there is no direct measuring instrument for measuring the electrical performance parameters of the control loop of the existing rocket engine ground control system, making it difficult to ensure the measurement accuracy. The equivalent device test system of the present invention includes an equivalent device and an equivalent device tester; the equivalent device includes a multi-channel equivalent electric squib resistor and a multi-channel equivalent solenoid valve resistor; the equivalent device tester includes a current acquisition and conditioning unit, an ARM+FPGA processing unit, a monitoring unit and four external connectors; the current acquisition and conditioning unit includes a current sensor, a conditioning circuit and a synchronous ADC chip; the current acquisition and conditioning unit converts the current signal into an isolated voltage signal after conditioning, and the synchronous ADC chip processes the isolated voltage signal and transmits it to the ARM+FPGA processing unit; the ARM+FPGA processing unit is used to communicate data and instructions with the monitoring host.

The present invention relates to the field of air pollution monitoring technology, and the present invention discloses a high-altitude particle pollutant detection sampling device, which includes a fuselage shell, a hanging bracket, an air intake assembly and a sampling assembly, wherein the fuselage shell is cylindrical, an air intake assembly is arranged at one end, a sampling assembly is arranged at the other end, a flow measurement assembly is arranged inside the fuselage shell, a hanging bracket is arranged at the top, and the top of the hanging bracket is connected to the belly or wing of the high-altitude aircraft. The advantages of the present invention compared with the prior art are: it can separate the pollutants to be detected from the high-altitude gas through a comprehensive sampling method and bring them back to the ground, without the need for a large-capacity gas sampling container, and can be adapted to most fixed-wing high-altitude aircraft. Fixed-wing high-altitude aircraft have a faster flight speed, which can improve the sampling and collection efficiency of pollutants, and adopt a comprehensive sampling method for sample collection, which is convenient for subsequent sample processing and analysis.

The invention relates to a method for detecting defects of a carbon fiber laminated plate by adopting an electromagnetic probe. The electromagnetic probe comprises a driving motor, an encoder, a pair of excitation modules, a pair of differential induction coils and an electromagnetic detection circuit, the detection method comprises the following steps: initializing a probe, starting excitation and receiving, extracting signal feature information and calculating a signal amplitude, drawing a polar coordinate image, inducing a voltage signal plane image, determining a laying direction angle and determining defects. According to the method for detecting the defects of the carbon fiber laminated plate by adopting the electromagnetic probe, through extraction of the induced voltage value signal, the layering direction of the carbon fiber laminated plate is presented in a polar coordinate form, the direction information of the defect is prompted, the layering judgment and defect detection of the carbon fiber laminated plate can be accurately and effectively realized, the imaging speed is high, and the detection accuracy is high. The imaging result is clear, reliable, visual and easy to understand.

The present invention relates to the application field of resistive memory, and in particular to a method and device for improving the efficiency of resistive memory reliability testing, the method comprising: first defining the absolute value of the difference between the high resistance value and the low resistance value of the resistive memory as a window size, as a basis for judging whether the resistive memory is in an abnormal state, then performing read and write operations on the resistive memory through a read and write operation circuit, and simultaneously starting an abnormal detection circuit to detect in real time whether the resistive memory is in an abnormal state during the read and write operation process, if in an abnormal state, making the read and write operation circuit perform abnormal read and write operations on the resistive memory, otherwise performing normal read and write operations. The present invention can speed up the test rate of the reliability of the resistive memory, improve the test efficiency of the resistive memory, and can also accurately locate the number of rounds in which the abnormality occurs, so as to facilitate the analysis and processing of the resistive memory.

This invention provides an intelligent desk lamp, including a base, a light-emitting element, a first camera unit, a second camera unit, and a wireless transmission circuit. The light-emitting element is mounted on the base and emits light signals towards the work surface. The first camera unit is mounted on the base and acquires images of the work surface. The second camera unit is mounted on the base and faces the user to acquire images of the user. The wireless transmission circuit is mounted on the base and communicates with the first and second camera units to transmit the acquired images and user images to an external terminal. This invention improves the user's learning and work efficiency by using the first camera unit on the light-emitting element to capture images of work, documents, etc., on the work surface, and the second camera unit to capture images of the user's posture and face. The images are then processed by an external terminal to obtain corresponding information.

The utility model provides an ultrasonic pore-forming quality detector calibration device, which relates to the technical field of bored pile pore-forming quality detection and comprises a protective shell, a detection column is arranged in the protective shell, and an ultrasonic sensor is arranged at the top of the detection column. Through cooperation of an ultrasonic sensor, an ultrasonic transmitter, a self-driven probe, a first motor, a second motor, a rotating shaft and a detection column, the whole device can carry out quality detection on drill holes of different sizes, automatic calibration can be carried out when the drill holes of different sizes are detected, workers do not need to adjust the device, the working efficiency is improved, and the labor intensity of workers is reduced. Then through cooperation of an electric sliding groove, a sliding block, an electric telescopic rod and a clamping block, the detection column can conduct quality detection on a deeper drill hole, the working efficiency is improved, and under cooperation of the electric telescopic rod and the clamping block, when the detection column breaks down, the detection column can be conveniently taken out and maintained, and the working efficiency is improved.

The invention discloses a data reference intelligent verification method, system and device, a medium and a program product, and the method comprises the steps: obtaining an original reference table having a reference relationship with certain data in a database according to a reference relationship in a metadata reference model, and obtaining an original reference table result set; dynamically calculating the number of threads needing to be started according to the number of reference tables in the result set and reference table verification time consumption; according to the historical verification time consumption of each reference table, intelligent grouping is carried out according to the thread count, so that the sum of the verification time consumption of the reference tables in each group is basically equal; a multi-thread verification execution step is started, in execution, as long as one thread hits the reference table with the reference relation, a result is returned, a thread termination mark is set, other threads terminate execution after receiving the thread termination mark, and rapid intelligent verification of data reference is completed. According to the method, through the multi-thread steps of intelligent grouping and intelligent sorting, rapid and intelligent verification of data reference in a massive business number scene can be realized, and the verification efficiency is remarkably improved.

The invention discloses a G-Smart government smart energy control system, and belongs to the technical field of energy control. The system comprises an acquisition module, an analysis module, a data processing platform, an early warning module, a database, a display module and a processing module, the acquisition module is arranged and used for acquiring energy consumption information and emission information of an enterprise, and a foundation is laid for subsequent data calculation; an early warning module is arranged, an energy assessment coefficient calculated by the early warning module is compared with an energy assessment threshold value, then energy consumption of an enterprise is judged, a generated early warning signal can be displayed on a display module in real time, the state of the enterprise can be mastered in real time, energy monitoring is more efficient, and energy consumption is reduced. The energy safety map which can be displayed on the intelligent terminal in real time is convenient for people to check, so that the convenience of energy control is improved; and a processing module is arranged, the processing module changes the processing attitude of the enterprise through the alarm value, and intelligent control over energy of different enterprises is achieved.

The invention relates to the technical field of material performance analysis, and discloses a method for improving the performance of an antibacterial nano-material in a kitchen knife, which comprises the following steps: detecting environmental resident bacterial strains and bacterial flora density of the kitchen knife in a storage environment, and determining the antibacterial nano-material corresponding to the kitchen knife; performing synthesis treatment on the cutter base material and the antibacterial nano material to obtain a synthetic material, analyzing the chemical stability corresponding to the synthetic material, and analyzing the physical stability corresponding to the synthetic material; evaluating the efficiency attenuation of the synthetic material in the storage environment; calculating the sterilization efficiency gradient of the antibacterial nano material; the optimal antibacterial material in the antibacterial nano materials is screened out, a performance improvement scheme corresponding to the kitchen knife is generated, performance improvement processing on the kitchen knife is executed, and an improvement result is obtained. The invention mainly aims to solve the problem of low performance improvement efficiency of the antibacterial nano material in the kitchen knife.

The invention provides a ship bilge well monitoring system and method. The method comprises the following steps: S1, acquiring a real-time monitoring video of a ship target area including a bilge well; s2, time sequence image frames of the real-time monitoring video are input into a trained bilge well water leakage monitoring model, a water seepage area and the water seepage condition are output, and water leakage detection of the ship bilge well is achieved through a specially-designed bilge well detection model. And a reasonable hardware arrangement mode is matched to realize automatic and real-time monitoring and alarming of the ship bilge well, sailors do not need to frequently enter a dangerous bilge well environment, and the life safety of the sailors is guaranteed.

The present invention relates to the technical field of charging station site selection, and provides a method and system for realizing intelligent site selection of charging stations based on gridding, including: gridding each area in the potential site selection area to obtain a grid site selection area; analyzing the regional development potential corresponding to the grid site selection area; collecting vehicle driving data corresponding to the grid site selection area, counting the regional traffic flow corresponding to the grid site selection area, and calculating the road load index corresponding to the grid site selection area; calculating the distance density value of pure electric vehicles in the grid site selection area; reading the reserve power of pure electric vehicles in the grid site selection area, calculating the energy storage cycle corresponding to the pure electric vehicles, evaluating the annual energy consumption expenditure corresponding to the grid site selection area, and selecting the optimal site selection location corresponding to the charging station from the grid site selection area. The present invention aims to improve the rationality of intelligent site selection of charging stations.

The invention discloses a peak regulation demand evaluation system for a power system. The peak regulation demand evaluation system comprises an acquisition layer, a transmission layer, an edge cloud layer and a management platform, the acquisition layer is used for acquiring data; the transmission layer is used for transmitting the data acquired by the acquisition layer; the edge cloud layer is used for receiving and processing data, and the processing of the edge cloud layer on the data comprises preprocessing and analysis processing; the management platform comprises a prediction model, an evaluation model and a visualization module; according to the method, the data is quickly processed through the edge cloud layer, and the calculation pressure of a management platform is relieved; the management platform comprises a prediction model, the generating capacity is predicted through the prediction model, the management platform comprises an evaluation model, the peak regulation process is evaluated through the evaluation model, and evaluation and prediction can correspond to each other, so that regulation and control can be carried out in time when peak regulation electric quantity is insufficient; and the accurate control of the electric quantity in the peak regulation process is maintained.

The present application relates to the field of artificial intelligence technology, and provides a method, device, computer equipment and storage medium for model training based on body temperature data, wherein each user terminal collects continuous body temperature data of a sample user, and correspondingly analyzes the body temperature rhythm characteristic data of the collected body temperature data; and respectively inputs the data into a logistic regression model for training to update the model parameters; when the server determines that the model training is finished, each user terminal sends the updated model parameters to the server, so that the model parameters sent by all user terminals are aggregated through the server to obtain weighted average model parameters; the logistic regression model is updated according to the weighted average model parameters and the model training is stopped to obtain a detection model for detecting the body temperature rhythm characteristic data. The detection model trained in the present application is convenient for analyzing the user's vital signs from the body temperature data, and based on the detection model, it is convenient to analyze and process the body temperature rhythm characteristic data.

The utility model discloses a Jetson platform-based inductor defect detection device, which relates to the technical field of inductor defect detection, and comprises a shell assembly, the shell assembly comprises a bottom plate, a camera is arranged at one end of the top of the bottom plate, a processing assembly is fixedly arranged in the middle of the top end of the bottom plate, and the processing assembly is connected with the camera. The processing assembly comprises a control circuit, a computing platform is arranged in the middle of the top end of the control circuit, a camera interface is arranged at one end of the top of the control circuit and electrically connected with a camera, a storage module is arranged on one side of the computing platform, and a power interface is arranged on the side face of one end of the control circuit. A second interface is formed in the side surface of the other end of the control circuit; two first interfaces are formed in the middle of one side of the control circuit; according to the inductor defect identification device, accurate defect identification can be carried out on the inductor, manual identification is not needed, the accuracy and the speed are improved, the inductor production efficiency is further improved, and the inductor defect identification device has high practical value.

The present application relates to the field of vehicle technology, and in particular to a method, system and vehicle for communication between services of various modules in an on-board terminal. The method for communication between services of various modules in an on-board terminal comprises the following steps: defining a data structure description file according to Capnp; compiling the data structure description file into a target programming language file through a Capnp compiler; obtaining a data source, and calling the serialization interface of Capnp to encode the data to be published; calling the sending interface of ZMQ to publish data; the data subscriber receives the data of the publisher, and calls the deserialization interface of Capnp to decode the published data; obtaining the structure data defined by the publisher, and performing different applications on the data. The method supports a 1:n relationship between one publisher and multiple subscribers, and Canpn directly supports the construction of RPC interfaces, without the need for additional components for RPC interface construction.

The invention discloses a lithium battery intelligent rapid charging system and a charging method thereof.The lithium battery intelligent rapid charging method comprises the following steps that S1, a lithium battery is charged through a charger; s2, switching a power supply mode; s3, detection of charging switching; s4, processing the data information obtained by detection; s5, reverse control adjustment is carried out; s6, performing safety protection and early warning; and S7, carrying out optimization processing on the data. The system has the advantages that fluctuation of voltage or current is eliminated, the PID control unit can conveniently switch charging modes, charging safety of the battery is ensured, the service life of the battery is prolonged, historical data information is analyzed and processed, the battery management system can optimize and adjust the charging process, and optimization suggestions and predictive maintenance are provided.

The present invention discloses an intelligent blasting vibration signal detection system, comprising a vibration signal acquisition subsystem and a vibration signal analysis and processing subsystem. The present invention also discloses a detection method for the intelligent blasting vibration signal detection system, comprising the following steps: blasting self-recording acquisition, sensor optical fiber signal acquisition, data transmission, data analysis, and modeling; the intelligent blasting vibration signal detection system proposed in the present invention adopts a dual-channel signal acquisition method to improve the accuracy of vibration signal acquisition and avoid signal loss caused by single-channel signal acquisition; the intelligent blasting vibration signal detection system is provided with a vibration signal analysis and processing subsystem, which is convenient for quickly processing the collected vibration signal and generating artificial seismic waves, so as to facilitate timely analysis and processing and avoid delaying the blasting schedule.