366results about How to "Achieve acquisition" patented technology

The invention provides a subway pedestrian anomaly detection method and system based on an improved yov8 network and a clip model, and relates to the technical field of subway pedestrian detection, and the method comprises the steps: obtaining a video frame in a subway scene, and carrying out the preprocessing of the video frame; inputting the preprocessed frame data into an improved yolov8 neural network model to obtain an abnormal behavior target detection frame, and performing target candidate tracking on the target detection frame by using a target tracking algorithm to obtain a candidate image of a target area of a specific behavior; the method comprises the following steps: inputting a candidate image containing a target area into a clip model, inputting a set detection text into the clip model, mapping the detection text and the candidate image of the target area, performing text-image similarity matching, and optimizing a similarity matching threshold by adopting a Q-Learning reinforcement learning immune algorithm to obtain a similarity matching result; and the abnormal behavior detection accuracy is improved.

The invention relates to a multi-source remote sensing data quantitative inversion regional crop water consumption demand data fusion method. The method comprises the steps of data acquisition, data assimilation, data fusion and formation of a multi-source heterogeneous database. A distributed multi-source heterogeneous database is built by using advanced technologies such as comprehensive grid computing and cloud computing, a high-performance storage retrieval multi-source heterogeneous database and a data product oriented to a complex irrigation data system are built, agricultural information is collected in real time, a database is formed, and a database management system is established. And finally, efficient data management and sharing are realized. Related agricultural irrigation processes are systematically monitored, including monitoring of water consumption of crops, monitoring and forecasting of agricultural irrigation and the like. An agricultural production management system and an agricultural expert system are developed and are mainly used for diagnosing water shortage, fertilizer shortage and pest and disease damage of crops. The data acquisition forms are diversified, the parameter optimization quantity is large, the acquisition of large-range farmland parameters is realized, and a complete system is formed with remote sensing irrigation monitoring.

The invention belongs to the field of urban sewage treatment, and provides an inverse fuzzy dynamic optimal self-adaptive aeration control method based on sewage treatment. Comprising the steps of dissolved oxygen concentration kinetic model construction, inverse fuzzy dynamic multi-objective optimization algorithm design, evaluation network and long-term utility function setting, execution network design, actual controller design, execution error function determination, execution network and actual controller parameter optimization and aeration pump control. According to the method, the optimal set value of the dissolved oxygen concentration is obtained through calculation of the inverse fuzzy dynamic multi-objective optimization algorithm; an execution network is designed by utilizing a judgment network and a long-term utility function, and unknown dynamic information of the dissolved oxygen concentration kinetic model is identified; optimization of an execution network and an actual controller is realized through the evaluation network and the execution error function; through the actual controller with the optimal parameters, self-adaptive control over the aeration pump is achieved, the control precision of the aeration degree is improved, and operation energy consumption is effectively reduced.

The invention discloses a network configuration management method and device, a program product and a medium, and relates to the technical field of computers. The method is applied to a data center operation and maintenance management platform, and comprises the following steps: when it is monitored that network configuration needs to be performed on a data center in a current service scene, obtaining physical link interconnection information between network devices in the data center through a preset hardware management protocol; before the service is issued, grouping servers in the network equipment, and issuing configuration to a target port of a switch accessed into the network equipment based on the physical link interconnection information to obtain a configured port; and dividing the servers into different virtual local area networks according to the groups to which the servers belong and based on the configured ports so as to construct a logic network isolation domain, and performing corresponding service operation on each group based on the logic network isolation domain after the service is issued. Through the technical scheme of the invention, the network configuration change can be realized, and the impact on the network flow of the data center is avoided.

The invention is suitable for the technical field of sound signal detection, and provides a sound wave detection device which comprises a shell, a sensor and a laser, and the sensor and the laser are fixedly connected with the shell. A through hole is formed in the shell; the plurality of sensors are used for receiving laser emitted by the laser device; the lasers are used for emitting a beam of measuring laser into the through hole and comprise a plurality of x-direction lasers and a plurality of y-direction lasers; the straight lines of the laser emitted by each x-direction laser are parallel to each other; the straight lines where the laser emitted by each y-direction laser is located are parallel to each other; the directions of laser emitted by the x-direction laser and the y-direction laser are perpendicular to each other. The device is small in size and convenient to arrange, the device does not have obvious influence on the waveform structure of sound waves, and richer sound wave information can be obtained through restoration; a plurality of devices do not need to form an array, and the high-precision direction of arrival can be obtained by using one device.

The invention relates to a video restoration method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring an original video, extracting first edge feature information of the original video, acquiring a video to be restored, encoding a first reference video frame selected from the video to be restored to obtain a first encoding feature, adding noise to the first encoding feature to obtain a first reference video frame feature, acquiring a random noise signal, and outputting the random noise signal to the video to be restored. Fusing the first reference video frame feature and the random noise signal to obtain a noise-added noise feature, obtaining first mask information indicating a to-be-repaired area in the to-be-repaired video, defining a noise reduction control condition based on the first mask information and the first edge feature information, and performing noise reduction on the noise-added noise feature according to the noise reduction control condition to obtain a to-be-repaired video. And carrying out noise reduction on the video features to obtain the denoised video features, and decoding the denoised video features to obtain a restored video. By adopting the method, the video restoration effect can be improved.

The invention discloses a long-distance rail identification and obstacle detection method and system, and the method comprises the steps: combining a long-focus optical system with an ultra-high-speed industrial camera at a hardware level, and building a high-collection-frame-rate and long-distance optical detection system; on the software level, a region of interest for obstacle detection is delimited according to recognition and visual segmentation of left and right rail lines of a rail, advanced visual tasks such as a rail obstacle intrusion detection algorithm based on target detection are executed, and finally high-frame-rate recognition and detection of long-distance rails and rail obstacles are achieved. According to the invention, a Schmidt-Cassegrain optical system with a focal length of 2000mm is used, and an ultra-high-speed industrial camera with a resolution of 1920 * 1080 and 3000 frames per second is combined to build a long-distance high-frame-rate optical detection platform which is erected on a driving position of a train to detect railway conditions within a range of 6km in real time; serious accidents caused by overlong braking distance due to high-speed running of the train can be prevented. Compared with a traditional train driver eye observation and laser radar-based scanning imaging mode, a farther detection distance, better detection and recognition robustness and a higher frame rate can be realized through the long-distance optical observation platform and the rear-end real-time detection system.

The invention discloses a three-primary-color depth image saliency detection system. The system comprises a feature encoder, an attention enhancement module, a cross-modal feature fusion module and a cascade correction decoder. The feature encoder is used for extracting original multi-level features of color and depth from the three-primary-color depth image; the attention enhancement module is used for enhancing the original multi-level features and carrying out space alignment processing and channel recalibration processing on the enhanced depth features; the cross-modal feature fusion module is used for performing multi-scale feature fusion processing on the depth features after space alignment and channel recalibration and the enhanced color features to obtain corresponding multi-scale fusion features; and the cascade correction decoder is used for taking the multi-scale fusion feature as a new multi-level feature of the three-primary color depth image, and decoding to generate a corresponding saliency map. The method has higher recognition and segmentation precision.

The invention relates to the technical field of air tightness testing, and particularly discloses a sealing tester air tightness monitoring system based on artificial intelligence, and the system comprises a sensor module which collects air pressure change parameters in real time through a pressure sensor; the image processing module collects bubble dynamic image information by using a camera; obtaining an inner surface contour image of the sealed cavity; the model construction module inputs the historical air pressure change parameters and the historical bubble dynamic information images into a preset convolutional neural network model for training, constructs a prediction model and obtains bubble motion parameters; the data analysis module inputs the air pressure change parameters and the bubble motion parameters obtained in real time into the prediction model for tracking detection, and air tightness prediction parameters are obtained; and executing an evaluation strategy based on the air tightness prediction parameters, judging whether the air tightness of the sealing test machine has a problem according to an evaluation result, and performing surface defect analysis on the inner surface contour image of the sealing cavity of the sealing space. And the display module displays the alarm result.

The embodiment of the invention provides a prompt content display method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a first trigger operation on a preset control in a live broadcast page; in response to the first trigger operation, determining a first recommendation object in the live broadcast page according to the state of a recommendation object in a recommendation object list corresponding to the live broadcast page, and obtaining first prompt content corresponding to the first recommendation object; and displaying the first word mentioning content on the live broadcast page. According to the method, the first recommendation object in the live broadcast page is determined in response to the first trigger operation for the preset control, so that the first prompt content is acquired and displayed, the interaction step of displaying the prompt content is simplified, and the use experience of a user is improved.

The invention discloses intelligent water conservancy irrigation equipment based on intelligent agriculture, and belongs to the technical field of intelligent irrigation. The intelligent water conservancy irrigation equipment comprises a base, moving wheels are rotatably mounted on the outer side of the base through a rotating shaft, a bottom plate is fixedly mounted at the bottom of the base, and a support is fixedly mounted at the top of the base; a water collecting assembly is fixedly mounted on the top surface of the bracket; according to the device, the water collecting assembly and the lifting water guide mechanism are arranged in a matched mode, through the design, the device can automatically control release of water flow according to the irrigation environment condition, manual management is not needed, the intelligent degree is high, and the whole device can achieve lifting rotating water sprinkling irrigation on crops; the irrigation range and effectiveness of crops can be greatly improved, the equipment is not provided with a plurality of driving sources, the energy consumption of the whole equipment can be reduced, the failure rate of the equipment can be reduced, and the actual application effect of the equipment is improved.

The invention discloses a method for automatically monitoring structural seismic response by using a monitoring video, and relates to the technical field of structural health monitoring. The invention aims to solve the problems existing when a monitoring camera is used for earthquake response monitoring. The method comprises the following steps: respectively identifying natural feature points in each frame of image of a pre-earthquake video and an earthquake time video, and describing the natural feature points by adopting a BRIEF descriptor; matching the natural feature points in the pre-earthquake video and the post-earthquake video, and extracting two-dimensional pixel coordinates of the natural feature points during the earthquake; and based on the two-dimensional pixel coordinates of the natural feature points during the earthquake, the displacement of the monitoring equipment during the earthquake relative to the lower-layer ground is calculated by adopting a PnP algorithm, and the monitoring equipment is fixedly connected with the upper-layer floor, so that the structural earthquake response is represented.

The invention belongs to the field of long-chain alkane online analysis systems, and discloses a long-chain alkane online analysis method and system based on comprehensive two-dimensional gas chromatography and an aerosol thermal desorption analyzer. The method comprises the following steps: during sampling, sucking ambient air through a cyclone separator with a PM2.5 cutting head, then removing gas-phase organic matters through a multi-channel carbon remover, and then intensively collecting particulate matters to a thermal desorption unit (CTD); the analyte after thermal desorption is re-concentrated into a focusing trap (FT) at 45 DEG C; starting separation and analysis of GC * GC-MS (gas chromatography-mass spectrometry); and the separated compound enters a mass spectrometer for mass spectrometry. According to the method, the total time from pollutant collection to analysis is controlled within two hours, and the change characteristics of long-chain alkane in the generation and elimination process of a pollution event can be effectively captured.

The invention relates to an intelligent traffic equipment scheduling method and system, equipment and a medium, and the method comprises the steps: obtaining road data and traffic management information of a region where intelligent traffic equipment is located, carrying out the region division processing of the road data based on the traffic management information, and obtaining the corresponding region road information; acquiring real-time equipment data of the intelligent traffic equipment, and performing association processing on the real-time equipment data and the regional road information to obtain a corresponding real-time regional traffic group; obtaining road vehicle data collected by the intelligent traffic equipment, and performing road prediction on the regional road information according to the road vehicle data to obtain a corresponding road congestion trend; performing road prediction on the emergency vehicle information based on the road congestion trend to obtain a corresponding emergency vehicle predicted passing road section; and comprehensively analyzing the initial equipment control scheme and the predicted emergency vehicle passing road section to obtain a corresponding global adjustment strategy. According to the invention, the equipment control scheme can be flexibly adjusted according to the passing demand of the emergency vehicle.

The invention provides an inter-satellite laser communication imaging and calibration integrated method and system. The system comprises a primary mirror, a secondary mirror, a narrow-band filter, an optical imaging and calibration integrated module, an imaging and calibration control module, a laser communication transmitting module, a transmitting fast reflecting mirror, a polarizing beam splitter, a beam splitter, a receiving fast reflecting mirror and a laser communication receiving module. The optical imaging and calibration integrated module performs star imaging and data processing, and corrects star imaging and calibration; scanning and imaging the uncertain area; processing to obtain target and background characteristics; and the laser communication terminal performs bidirectional capture locking, starts communication and transmits data. According to the invention, inter-satellite laser communication, imaging and calibration are integrated, the imaging and calibration time is shortened, the size and weight of the terminal are reduced, visible light image information of a target and a background environment and the pointing error of a calibration device are obtained, an uncertain capture area of the laser communication terminal is reduced, the laser communication link establishment speed is improved, and the communication efficiency is improved. And high-speed inter-satellite laser communication is realized.

The utility model discloses a spectrum analyzer, comprising a tunable laser used for outputting frequency laser; the frequency expansion module is used for receiving the frequency laser output by the tunable laser, performing frequency expansion processing and then outputting frequency expansion laser; the signal acquisition module is used for acquiring a signal after the frequency expansion laser output by the frequency expansion module passes through the object to be measured; and the data processing module is used for analyzing the signal acquired by the signal acquisition module to obtain the frequency response of the to-be-detected object. According to the spectrum analyzer disclosed by the utility model, the frequency laser output by the tunable laser is subjected to frequency conversion through the frequency expansion module, so that the bandwidth of the spectrum analyzer is greatly expanded, and full-wave band spectrum analysis from purple light to infrared light is realized.

The present invention discloses a student mental health monitoring and early warning system based on big data and artificial intelligence, and relates to the field of electronic digital data processing technology. The student mental health monitoring and early warning system based on big data and artificial intelligence includes: a first data acquisition module, a first judgment module, a second judgment module, a third judgment module and a fourth judgment module. The present invention obtains the first student data through the main data source to obtain the first classification result and then evaluates to obtain the first data quality. If the first data quality and the first data quantity evaluation value do not meet the standard, the second student data obtained from the auxiliary data source obtains the second data quality. If the second data quality and the second data quantity evaluation value do not meet the standard, a warning signal is triggered, otherwise it indicates that the data has diversity, thereby achieving an improvement in the diversity of data acquisition, and solving the problem of single data in the student psychological data acquisition system in the prior art.

The invention provides a method and a device for detecting the placement state of a wafer in a wafer box, which are applied to the detection of the wafer box, and the detection method comprises the following steps: obtaining a thickness standard value and an angle standard value of the wafer; scanning the wafer box by using a laser and a camera to obtain a three-dimensional shape of the wafer box; calculating the thickness and angle of each wafer in the wafer box by using a thickness calculation algorithm and an angle calculation algorithm according to the three-dimensional morphology; wherein the thickness calculation algorithm processes three-dimensional shape data through a point cloud downsampling method and a point cloud clustering method; and comparing the thickness and the angle of each wafer in the wafer box with the thickness standard value and the angle standard value to determine whether the wafers in the wafer box have overlapped wafers, inclined wafers and missing wafers. According to the invention, the technical problems that the scanning time is long and the production efficiency is influenced because the position of the wafer needs to be determined by scanning the interior of the wafer box point by point through a distance measuring sensor in the traditional Mapping operation are solved.

The invention discloses a voice style conversion method, and the method comprises the steps: obtaining a voice data set which comprises a source voice and a target voice; performing feature extraction on the source voice and the target voice to obtain a first Mel spectrum and a second Mel spectrum; performing content feature extraction on the first Mel spectrum through a preset content encoder to obtain content features; performing down-sampling processing on the phoneme sequence aligned with the content features to obtain a hidden state sequence; performing style feature extraction on the second Mel spectrum through a preset style encoder to obtain style features; performing alignment embedding on the style features and the hidden state sequence to obtain target style features; and determining a voice conversion result according to the hidden state sequence and the target style feature. According to the method, the phoneme sequence aligned with the content features is subjected to down-sampling, so that the problem that noise frames exist is solved. By performing alignment embedding on the style characteristics and the hidden state sequence, other styles except timbre are effectively transferred.

The invention relates to the technical field of sampling detection, in particular to a reaction kettle full-automatic hanging bottle type online sampling device which is provided with a sampling hanging bottle, a sampling box, a pre-sampling unit, an information monitoring unit, an online analysis unit and a sampling execution unit. The information monitoring unit is used for acquiring the stress value of the sampling hanging bottle in the sinking process of the reactant, a real-time stress value curve is drawn, and the online analysis unit is used for judging whether the reactant has a local enrichment phenomenon or not and determining the sampling position of the sampling hanging bottle for sampling. The lifting motor is controlled by the sampling execution unit to drive the sampling hanging bottle to sink to the sampling position for sampling, and the standing time of the sampling hanging bottle at the sampling position is adjusted, so that the sampling position of closed sampling is adaptively adjusted according to the component distribution state of reactants in the reaction kettle, and the sample data representativeness of sampling detection is improved.

The invention relates to the technical field of database management, and discloses an SQL (Structured Query Language) statement detection method, device and equipment and a medium, the method comprises the following steps: obtaining a target SQL statement, and analyzing the target SQL statement to obtain statement fields corresponding to keywords in the target SQL statement; sorting and splicing statement contents in the statement fields according to a preset sorting dictionary to obtain field SQL (Structured Query Language) statements; updating sub-library and sub-table names in the field SQL statements into a target format to obtain updated SQL statements corresponding to the field SQL statements, and performing statement de-duplication on the updated SQL statements to obtain a de-duplication statement set; and performing similarity calculation on the de-duplication SQL statements in the traversed de-duplication statement set to obtain a statement similarity value, and determining a statement detection result according to the statement similarity value. According to the method and the device, the target SQL statement is detected, so that the recognition accuracy of the SQL statement is improved, compatible processing of sub-libraries and sub-tables is realized, and the detection efficiency of the SQL statement is improved.

The invention discloses a cutting device for aluminum alloy door and window machining and a machining method, and relates to the technical field of aluminum alloy door and window cutting machining. According to the cutting device for aluminum alloy door and window machining and the machining method, through cooperation of the first locking assembly and the two second locking assemblies, support is provided for an aluminum alloy profile blank, meanwhile, support is provided for obtaining of an aluminum alloy profile with the target length by adjusting the distance between the two second locking assemblies, and the machining precision of the aluminum alloy door and window is improved. Through cooperation with the arrangement of the material pushing assembly, the height adjusting assembly and the top pressing assembly, along with movement of the material pushing assembly, clamping and positioning of the two sides, top limiting and cutting of an aluminum alloy profile blank are sequentially achieved, the clamping and cutting procedures can be achieved through one stroke of an electric telescopic rod, the machining efficiency is higher, meanwhile, frequent size measurement is not needed, and the machining cost is reduced. And convenient conditions are provided for obtaining the aluminum alloy sections with the same length.

According to the augmented reality fusion urban underground pipeline three-dimensional visualization method, calculation of internal and external parameters of a camera in an augmented reality fusion system and a three-dimensional tracking registration scheme of the augmented reality fusion system are provided, an underground pipeline visualization system based on augmented reality is constructed, virtual underground pipelines are directly displayed on a construction site scene in an overlapping mode, and the construction efficiency is improved. And fusion of the virtual pipeline and the real scene is realized. A user can correspond a construction site to spatial position information, such as position and depth, of the urban three-dimensional underground pipeline, the depth information of the pipeline in a real environment can be clearly sensed while a virtual-real superposition effect is obtained, and the understanding of the user to the pipeline and the surrounding environment is improved; in addition, the enhanced virtual-real fusion system can interact with a user, so that on-site constructors can understand information such as spatial distribution and shielding relation of underground pipelines, and meanwhile, the user can query various data such as attribution, flow and production places of the pipelines and real images of the pipelines.

A small sample semantic segmentation method based on query autocorrelation enhancement belongs to the technical field of image segmentation, aims to solve the problems in the prior art, and comprises the following steps: step 1, constructing a network model: sharing a backbone network of weight; generating a prototype; the Transform decoder is used for inputting a support prototype and a query feature; the prior enhancement module is used for obtaining prior mask information with high guidance by utilizing interaction between high-level features; the feature enrichment module enriches query features from different scales by using a support prototype and a prior mask; filtering out a predicted mask from the query feature with an output of the decoder; 2, a data set is prepared, wherein the data set is preprocessed according to a small sample segmentation task; 3, training a network model: inputting the data set prepared in the step 2 into the network model constructed in the step 1 for training; 4, selecting a minimum loss function and an optimal evaluation index; and 5, finely adjusting and storing the model.

The present invention provides a detection method and device for the placement state of wafers in a wafer box, which is applied to the detection of wafer boxes. The detection method includes: obtaining the standard value of the thickness and the standard value of the angle of the wafer; using a laser and a camera to scan the wafer box to obtain the three-dimensional morphology of the wafer box; according to the three-dimensional morphology, using a thickness calculation algorithm and an angle calculation algorithm to calculate the thickness and angle of each wafer in the wafer box; wherein the thickness calculation algorithm processes the data of the three-dimensional morphology through a point cloud downsampling method and a point cloud clustering method; comparing the thickness and angle of each wafer in the wafer box with the standard value of the thickness and the standard value of the angle to determine whether there are duplicate wafers, oblique wafers, and missing wafers in the wafer box. The present invention solves the technical problem that the traditional Mapping operation needs to use a ranging sensor to scan the inside of the wafer box point by point to determine the wafer position, resulting in a long scanning time and affecting production efficiency.

The invention discloses a multi-stage lifting device applied to greenhouse tomato crop information acquisition, and belongs to the field of agricultural machinery. The device can realize multi-site crop information acquisition from the ground to the height of 3-4m through cooperative work of the multi-stage lifting module, and is particularly suitable for monitoring vertically-cultivated tomato plants. The device is mounted on an unmanned vehicle platform, and accurate path planning and crop key information acquisition are realized by utilizing laser radar navigation. The lifting module is driven by a direct-current motor, a secondary frame in a sliding rail is driven to move up and down through meshing of a gear and a rack, a stepping motor drives a ball screw, the height of a visual sensor is adjusted, and therefore multi-point and refined visual information obtaining of tomato plants is achieved. The device can effectively reduce manual intervention, improves the efficiency and accuracy of crop information acquisition, and is suitable for automatic inspection tasks in modern facility agriculture.

The invention provides a weld seam tracking method based on visual image semantic segmentation, which fully utilizes the specific keyhole characteristics of scanning laser and considers the dynamic characteristics of the keyhole in the welding process. Key holes and molten pools are effectively identified and segmented by adopting an adversarial neural network and visual semantic segmentation, so that the key holes are more accurately obtained; a keyhole rotation center is used as a basis for weld seam tracking, and is more accurate and stable compared with a molten pool center; according to the weld seam tracking method based on visual image semantic segmentation, weld seam tracking of scanning laser welding or scanning laser arc hybrid welding can be achieved.

The embodiment of the present application discloses a device and method for measuring micro-nano particles, the device comprising: a first chamber, a microporous membrane, an electrophoresis tank, and a second chamber, wherein the microporous membrane is located between the first chamber and the electrophoresis tank, and the microporous membrane has micropores, and the first chamber is connected to the electrophoresis tank through the micropores; the second chamber is adjacent to the electrophoresis tank, and has a first side wall located between the second chamber and the electrophoresis tank, and the first side wall has a first opening for connecting the second chamber and the electrophoresis tank; the inner diameter of the micropore is smaller than the inner diameter of the electrophoresis tank, and the inner diameter of the electrophoresis tank is smaller than the inner diameter of the second chamber; the first chamber has a first electrode, and the second chamber has a second electrode. The technical solution of the embodiment of the present application can measure the properties of a single micro-nano particle in a solution.

The invention discloses a time standardization governance method and system based on an AI training model and SQL governance, and relates to the technical field of data governance and artificial intelligence, and the method comprises the steps: pre-training an AI large model to recognize and analyze irregular time data, and outputting a standardized time format; associating the time data analyzed by the AI large model with the original time data, and storing the time data and the original time data in an SQL (Structured Query Language) database; and constructing an SQL statement according to the analyzed time data format, and operating the time data in the database through the constructed SQL statement so as to calculate and obtain the standardized end time. According to the method, various irregular time data can be automatically and accurately converted into a uniform format, time is screened and calculated in batches through sql statements, standardized processing of the time data is achieved, and therefore the efficiency and accuracy of data governance are improved.

The utility model provides a high and cold mining area soil meteorological environment three-dimensional monitoring device and a monitoring system, and relates to the field of plateau environment monitoring, a monitoring rod comprises a top end and an embedded end, and the embedded end is provided with an expansion part for increasing the bottom area of the monitoring rod; the data acquisition unit comprises a plurality of acquisition modules and a collection module in signal connection with the acquisition modules, the acquisition modules are used for monitoring soil moisture content, weather information and environment information, and the collection modules are fixed on the monitoring rod and used for collecting the acquired soil moisture content, weather information and environment information; the data transmission unit is in signal connection with the collection module, and the data transmission unit is used for uploading the collected soil moisture content, weather information and environment information to a remote data processing server. According to the application, the extension part is arranged at the embedded end of the monitoring rod, so that the stability of the monitoring rod is improved, and the monitoring rod resists severe geography and natural environments; moreover, diversified information parameters are obtained, and support data are provided for research on the influence of mining in a mining area on the ecological environment.