27results about How to "Increase detection frequency" patented technology

The invention relates to the technical field of coal quality identification and monitoring, and discloses a coal quality dynamic detection method and system based on an image identification mining face, and the method comprises the steps: obtaining images of a first region, a second region and a third region of the mining face from top to bottom in the mining operation process of a coal mining machine; extracting stratification features from the first area image and the second area image to obtain a stratification line distribution diagram; based on the stratification line distribution diagram, calculating the maximum value of the interlayer spacing and the vertical coordinate variance; determining the uniformity of the coal seam based on the maximum value of the interlayer spacing; determining the flatness of the coal seam based on the vertical coordinate variance; based on the coal seam uniformity and the coal seam flatness, the coal seam quality is obtained; extracting geometric features of the third area image, and generating a bright spot distribution map; calculating the average area of the hot spots based on the hot spot distribution map; according to the average area of the bright spots, the crushing degree of the coal rock is determined, and then the quality of the coal rock is determined. According to the invention, the coal seam quality and the coal rock quality can be analyzed.

The invention relates to the technical field of crushing machine detection, in particular to a detection device for a health-care food powder crushing machine, comprising: a crushing module for crushing health-care food into powdery health-care food through the crushing machine; the detection module comprises a current sensor which is connected with the crushing machine and is used for detecting the working current of the crushing machine, and a vibration sensor which is connected with the crushing machine and is used for detecting the vibration intensity of the crushing machine; the control module is connected with the crushing module and the detection module and used for judging whether the detection stability of the crushing machine meets the requirement or not according to the variance of the fluctuation amplitude of the working current of the crushing machine. When the requirements are not met, the rotation angle of the crushing machine is adjusted or the detection frequency of the pressure sensor is adjusted according to the average vibration strength of the crushing machine, and the feeding speed of the health food is adjusted according to the average vibration strength of the crushing machine and the temperature rising speed in the crushing machine. According to the invention, the detection stability of the crushing machine is improved.

The invention relates to the technical field of inspection and detection, in particular to an inner surface integrity detection device and a gallium nitride reaction furnace integrity detection system. The inner surface integrity detection device comprises a base, a liquid supply mechanism, a first visual mechanism, a blowing mechanism, a second visual mechanism and a processor. The liquid supply mechanism is used for intermittently conveying the detection liquid to the inner surface of the to-be-detected container, so that the detection liquid flows to the air outlet. And the first visual mechanism is used for acquiring image data of the detection liquid between the liquid outlet and the air outlet. And the blowing mechanism is used for blowing the detection liquid flowing to the air outlet to the lowest part of the inner surface of the container to be detected. And the second visual mechanism is used for acquiring image data of the detection liquid in the area below the air outlet. The processor is used for determining the inner surface integrity of the to-be-detected container according to the image data. According to the invention, integration of cleanliness detection and structural integrity detection of the inner surface of an object is realized, the detection efficiency is greatly improved, and the detection sensitivity is relatively high.

The invention discloses a laser gas telemetering imaging system based on micro galvanometer scanning and a detection method, the system comprises: a laser transmit-receive optical unit, detection laser emitted by a semiconductor laser and aiming laser emitted by an aiming laser are combined by a beam combiner, and are collimated to an MEMS micro galvanometer through a collimation system; the MEMS micro galvanometer deflects by a corresponding angle to reflect the laser beam to a target detection area; the photoelectric detector array is used for receiving a light return signal of the detection laser; the signal processing and control unit is used for calculating the concentration information of the target gas in the target detection area according to the return light signal subjected to photoelectric conversion; the visual imaging unit is used for shooting a visual image of the detection area; and the information fusion unit is used for fusing the calculated gas concentration of the target detection area into a visual image, and sending the fused visual image to the signal output display unit for visual display of the gas concentration.

The invention discloses an intelligent security remote monitoring equipment monitoring method and system, and the method comprises the steps: obtaining a timing period T and historical fault times N of remote monitoring equipment, screening out problematic equipment, and setting an initial detection period Tp; a detection node is set according to the detection period, when the dispatching center is located at the test node, a detection instruction is sent to the problem equipment, after the problem equipment receives the detection instruction, collected data are packaged and sent to the dispatching center, and the dispatching center judges whether the problem equipment breaks down or not according to the decompressed data; obtaining the time when the problem equipment breaks down in the historical data, generating a set U, and calculating the equipment fault volatility S; and calculating a detection period Tp according to a formula, updating the detection period Tp when the current timing period is ended, resetting the detection node, and starting the next timing period. The problem that faults of the remote monitoring equipment cannot be found in time is solved.

The present invention relates to a storage method for concentrated onion juice, comprising: placing the concentrated onion juice in a plurality of storage tanks, setting a detection cycle of the concentrated onion juice; detecting the internal temperature of the storage tank, drawing a temperature change curve, comparing the temperature value with a preset internal temperature, and adjusting the temperature expression parameter of the temperature change curve; calculating the integral value of the temperature change curve and the preset internal temperature within a unit detection time, and adjusting the detection cycle accordingly according to the integral value; detecting the light transmittance and soluble solid content of the concentrated onion juice, comparing them with standard values, making a grade judgment on the storage state of the concentrated onion juice, and adjusting the detection cycle accordingly; detecting the storage time of the concentrated onion juice, comparing it with the preset storage time, and calculating the adjusted detection cycle. The present invention makes the storage detection of onion juice more intelligent.

The invention relates to the technical field of metal material preparation, and in particular to a method for preparing a corrosion-resistant metal material in a seawater environment, comprising placing a base material and a sample material on different sample plates at the same height in a reaction chamber, respectively, introducing a precursor and a reducing gas into the reaction chamber, heating the base material to a preset temperature at the same time, heating the sample material in a preset heating manner, detecting the deposition area of ​​the surface of the sample material per unit time by a reflection spectrum analysis technology and determining the optimal heating temperature of the base material, controlling the sample plate corresponding to the sample material to move around the sample plate where the base material is located in the reaction chamber to determine the optimal deposition position, moving the sample plate corresponding to the base material to the optimal deposition position, and completing the deposition of a surface coating on the base material at the optimal deposition position; ensuring that the coating is deposited under optimal process conditions, so that the final coating is more uniform and dense, thereby effectively improving the corrosion resistance of the deposited coating.

The present invention relates to an adsorption device capable of online monitoring. The adsorption device comprises an online mid-infrared spectrum detection system, a branch with a test sample pool is arranged on a material pipeline that needs to be monitored online, and an online mid-infrared spectrometer is used to detect the material in the sample pool. The adsorption device capable of online monitoring of the present invention can perform real-time online detection of the material concentration in the adsorption device.

The invention belongs to the technical field of drinking water quality detection, and particularly discloses a drinking water online real-time detection cloud health service platform based on multi-dimensional parameters. Comprising a detection record season classification module, a sensitive water quality parameter identification module, a drinking water record season classification module, a preferred drinking water period analysis module, a water quality detection frequency adjustment module and a water quality detection abnormity display module. The sensitive water quality parameters corresponding to all seasons are analyzed, then the sensitive water quality parameters are displayed and associated with the drinking water sensing terminal, key detection and visual display based on multi-dimensional water quality detection are achieved, excessive consumption of detection resources is avoided, display and association are conducted through the drinking water sensing terminal, and the detection efficiency is improved. The inconvenience and increased operation management cost caused by using an intelligent water cup to display association are avoided, and the reliability and sustainability of the system are invisibly enhanced.

The present invention discloses a method and system for monitoring intelligent security remote monitoring equipment, wherein the method comprises: obtaining a timing cycle T and a historical fault number N of a remote monitoring equipment, screening out problematic equipment, setting an initial detection cycle T p ; Set the detection node according to the detection cycle. When the dispatch center is at the test node, it sends a detection command to the problem device. After receiving the detection command, the problem device packages the collected data and sends it to the dispatch center. The dispatch center determines whether the problem device is faulty based on the decompressed data; obtain the time when the problem device fails in the historical data, generate a set U, and calculate the device failure volatility S; calculate the detection cycle T according to the formula p , at the end of the current timing period, update the detection period T p , reset the detection node, and start the next timing cycle. The present invention solves the problem that it is impossible to find out the failure of the remote monitoring equipment in time.

The invention discloses industrial frequency converter testing equipment which comprises an operation table, a detector is installed on the operation table, a feeding sliding groove and a discharging sliding plate are installed on the operation table, a feeding device is arranged on the operation table and comprises a motor, the output end of the motor is connected with an output shaft, and the output end of the motor is connected with an output shaft. The end, away from the motor, of the output shaft is rotationally connected with the inner wall of the operation table, a driven shaft is rotationally installed on the inner wall of the operation table, and the outer wall of the output shaft and the outer wall of the driven shaft are sleeved with two conveying belts. Through cooperation of the feeding sliding groove and the feeding device, a plurality of frequency converters can be placed in the feeding sliding groove at a time, the frequency converters can sequentially fall onto the conveying belt and then are conveyed to the detector through cooperation of the supporting plate and the feeding frame to be detected, and after detection is completed, the frequency converters return to the conveying belt and slide to the next working procedure through the discharging sliding plate. And the effect of automatic feeding and discharging is achieved.

The invention discloses an online automatic detection device for diamond micro-powder separation, and belongs to the technical field of diamond micro-powder detection. A diamond micro-powder separation online automatic detection device comprises a workbench and a detector arranged on the surface of the workbench, a sliding assembly is slidably arranged on the upper surface of the workbench through a supporting column and comprises a sliding box, a guide rod is fixedly connected to the inner wall of the sliding box, a sleeve rod is slidably connected to the surface of the guide rod, and the sleeve rod is fixedly connected to the inner wall of the sliding box. The outer end of the sleeve rod is fixedly connected with a sampling cup; the sampling cup is driven by the second driving mechanism to perform automatic sampling, a sample is automatically poured into a vessel, and the vessel is rotated to the position below the detection head for detection through the third driving mechanism, so that the purpose of online automatic detection is achieved, the detection frequency and the detection efficiency are improved, and by arranging the scrubbing assembly and the drying assembly, the detection efficiency is improved. And therefore, the used vessel can be automatically cleaned, and residual samples in the vessel are avoided.

The utility model relates to a circulating liquid supply system capable of automatically controlling the pH value of corrosive liquid, and the circulating liquid supply system comprises a first detection branch which comprises a first storage tank, and one part of the corrosive liquid can enter the first storage tank; the second detection branch comprises a second storage tank, and the other part of the corrosive liquid can enter the second storage tank; the detection instrument is used for detecting a first pH value of a part of the corrosive liquid in the first storage tank; detecting a second pH value of the other part of the corrosive liquid in the second storage tank; and the control module is used for acquiring the first pH value and the second pH value and judging whether the first pH value and the second pH value are in a preset pH value range or not. The detection frequency is controllably improved, the detection authenticity is improved, the safety risk possibly caused by manual sampling is avoided, the health and safety of personnel are guaranteed, and meanwhile the workload of the personnel is relieved; one detection branch is used and the other detection branch is standby, so that the consistency of product quality is ensured.

The invention discloses a metal detection sensor, which comprises a signal source connected with a coil and used for applying an excitation signal to the coil so as to excite the coil to generate a primary magnetic field; the delay trigger module is connected with the signal source and is used for detecting the edge of the excitation signal and sending out a control signal after the edge is detected and a preset delay time is delayed; the signal processing circuit is connected with the coil so as to detect the voltage at the two ends of the coil; and the processor responds to the control signal, and is used for outputting the voltage amplitude at the two ends of the coil when the control signal is output or the integral value of the voltage amplitude at the two ends of the coil within a preset period after the control signal is sent out, and judging whether a detected metal object exists in a detection area adjacent to the coil according to the voltage amplitude or the integral value. The sensor is simple in structure and easy to realize. The detection result is not sensitive to the conductivity of a part of objects to be detected, and the method can be suitable for detected metal objects made of various materials.

The invention discloses an emotion detection frequency determination method and device, equipment and a medium, and relates to the technical field of intelligent vehicles, and the method comprises the steps: obtaining an emotion detection reference frequency and vehicle driving information of a total driving distance of a vehicle driver in a current time period; according to the vehicle driving information, predicting an emotion abnormal probability of a vehicle driver in a future time period; wherein the future time period is adjacent to the current time period and is located after the current time period; adjusting the emotion detection reference frequency according to the vehicle driving information and the emotion abnormal probability in the future time period to obtain the emotion detection frequency of the future time period, and performing emotion detection on the vehicle driver in the future time period according to the emotion detection frequency. And the computing power resource and the electric power resource of the vehicle are saved.

The invention discloses a photovoltaic panel fastener looseness detection method and a photovoltaic cleaning robot, and belongs to the technical field of photovoltaics. The photovoltaic panel fastener looseness detection method is applied to the photovoltaic cleaning robot. The photovoltaic cleaning robot comprises a robot body and a sound receiver arranged at the bottom of the robot body. The method comprises the steps that in the process that the photovoltaic cleaning robot cleans a photovoltaic module along a preset path, a sound receiver is controlled to acquire a sound signal at a fastener between two adjacent photovoltaic panels in the photovoltaic module; and judging whether the fastener is loosened or not according to the sound signal. According to the embodiment of the invention, the loosening condition of the fastener of the photovoltaic panel can be detected in time.

The application relates to a user natural gas safety detection system, a method and a storage medium, and the method comprises the following steps: reading user information of a user natural gas meter, wherein the user information comprises a user ID and a gas record; dividing the user type of the user ID based on the gas record; generating a trigger signal with different detection frequencies based on the user type; obtaining gas information corresponding to the user ID based on the trigger signal to update the gas record; judging whether a natural gas pipeline exists leakage based on the gas information, and issuing an alarm information when the leakage judgment result is that leakage exists, wherein the alarm information comprises the user ID; issuing a valve closing action instruction to the natural gas meter corresponding to the user ID based on the alarm information, and recording the alarm information in the gas record. The application has the effects of improving the safety of a household natural gas pipeline and realizing global natural gas safety detection and protection for community users.

This utility model relates to the technical field of sound and light alarm devices, and discloses an intelligent wireless sound and light alarm device, comprising: a first limiting frame plate, the first limiting frame plate being annular and having a hollow opening inside; a second limiting frame plate, the second limiting frame plate being disposed outside the first limiting frame plate, the second limiting frame plate being annular and having a hollow opening inside; a limiting structure, the limiting structure including two sets of first limiting plates, the first limiting plates being disposed outside the first limiting frame plate; and a detection structure, the detection structure including a first explosion-proof box, the first explosion-proof box being fixedly installed inside the first limiting frame plate; achieving the purpose of limiting and fixing the device, adjusting the position of the limiting structure according to different bracket sizes, improving the flexibility of the device's use, improving the device's fixing strength, improving the installation environment of the detection device, reducing the damage to the detection instrument, and extending the service life of the device.

The present invention relates to the technical field of coal quality identification and monitoring, and discloses a method and system for dynamic detection of coal quality based on image identification of mining face, wherein the method comprises: in the process of mining operation by a coal mining machine, obtaining images of the first, second and third regions from top to bottom of the mining face; extracting bedding features from the first region image and the second region image to obtain a bedding line distribution map; calculating the maximum interlayer spacing and the ordinate variance based on the bedding line distribution map; determining the uniformity of the coal seam based on the maximum interlayer spacing; determining the flatness of the coal seam based on the ordinate variance; obtaining the quality of the coal seam based on the uniformity of the coal seam and the flatness of the coal seam; extracting geometric features from the third region image and generating a bright spot distribution map; calculating the average area of ​​the bright spots based on the bright spot distribution map; determining the degree of crushing of the coal rock according to the average area of ​​the bright spots, and then determining the quality of the coal rock. The present invention can analyze the quality of the coal seam and the quality of the coal rock.

The utility model discloses a card with health detection function, including card body, be provided with flexible circuit board in card body, two metal dry electrodes that expose on the surface of card body are arranged on the flexible circuit board, and metal dry electrode is used for contacting with the hand of person and gathers bioelectric signal, the one side of flexible circuit board is provided with insulating electrode holder to metal dry electrode, be provided with signal amplification module, filter module, AD conversion module, signal processing module, data storage transmission module and power module on the flexible circuit board, signal amplification module is used for the amplification to the weak bioelectric signal of collection, filter module is used for removing the high frequency noise and low frequency interference of bioelectric signal, AD conversion module is used for converting the bioelectric signal after amplification and filtering into digital signal, and data storage transmission module is used for transmitting the signal after processing to smart mobile phone, the utility model discloses small and exquisite easy to carry, better maintenance user's health.

The present invention provides a logic-type ultrasonic probe array system and method based on comparison and gating, including an ultrasonic instrument, an ultrasonic probe array, a gating control array and a comparator array, wherein: the ultrasonic instrument sends an initial excitation pulse to the ultrasonic probe array; the ultrasonic probe array receives ultrasonic echo signals of each channel; the comparator array compares multiple ultrasonic echo signals received by the ultrasonic probe array, obtains the serial number of the ultrasonic echo signal with the largest amplitude, and controls the gating logic array through the serial number; the gating control array receives multiple ultrasonic echo signals, turns on the ultrasonic echo signal corresponding to the serial number and sends it to the ultrasonic instrument, and turns off the remaining ultrasonic echo signals. The present invention does not sacrifice the repetition frequency of the ultrasonic flaw detection system, which means that it will not affect production efficiency and accuracy.

The invention discloses an energy efficiency optimization analysis method for sewage treatment, and particularly relates to the field of sewage energy efficiency data processing and signal transmission processing. Comprising the steps of data source signal integrity detection, input preparation of a three-dimensional evaluation model, three-dimensional analysis of energy efficiency data, generation of an energy efficiency evaluation value, comparison of the energy efficiency evaluation value and an energy efficiency threshold value, screening of a model sewage treatment plant and the like. Through signal integrity detection and a dynamic adjustment mechanism of data acquisition frequency, the data quality in the energy efficiency evaluation process is improved, so that the overall precision of energy efficiency evaluation is improved; under the support of system real-time monitoring and data quality control, high-reliability data sources can be effectively screened for evaluation and analysis, so that the energy efficiency evaluation result is more suitable for actual conditions and operation requirements.

The invention discloses an infrared high-frame-frequency image target track processing method and system, and relates to the infrared detection technology, and the method comprises the steps: obtaining an infrared image, and detecting the position information of a target; based on the detected target position information, target detection abnormal values are eliminated through a target parameter sigma interval abnormity filtering mechanism; for the image with the target detection abnormal value removed, estimating the target position by using target historical position information based on a Gaussian weight time sequence positioning trajectory smoothing method; and based on the estimated target position, obtaining a target track processing result through a target track Kalman filtering noise reduction method. According to the method provided by the invention, in order to solve the problem that in an infrared high-frame-frequency image detection task, the target track precision is influenced by noise interference such as detection frequency increase, system jitter and target flicker, the target alarm track precision can be improved, and the sensitivity of a track filtering algorithm to track discontinuity is weakened.

The present invention relates to the field of inspection and testing technology, and specifically to an inner surface integrity detection device and a gallium nitride reactor integrity detection system. The inner surface integrity detection device includes a base, a liquid supply mechanism, a first visual mechanism, an air blowing mechanism, a second visual mechanism and a processor. The liquid supply mechanism is used to intermittently deliver the detection liquid to the inner surface of the container to be detected so that the detection liquid flows to the air outlet. The first visual mechanism is used to obtain image data of the detection liquid between the liquid outlet and the air outlet. The air blowing mechanism is used to blow the detection liquid flowing to the air outlet to the lowest point of the inner surface of the container to be detected. The second visual mechanism is used to obtain image data of the detection liquid in the area below the air outlet. The processor is used to determine the inner surface integrity of the container to be detected based on the image data. It realizes the integration of the cleanliness detection and structural integrity detection of the inner surface of the object, greatly improves the detection efficiency, and has a high detection sensitivity.

The utility model discloses a nuclear material plate surface pollution detection device which comprises a first detection box and a second detection box, a concave plate is arranged on one side of the first detection box and one side of the second detection box, a motor is arranged on one side of the concave plate, a screw rod driven by the motor is arranged in the concave plate, a moving block in threaded connection is arranged on the screw rod, and the moving block is connected with the first detection box and the second detection box. A guide structure is arranged at the top end of the moving block, a connecting plate is arranged at the bottom end of the moving block, supporting columns are arranged at the top ends and the bottom ends in the first detection box and the second detection box, a radioactive detector is arranged at one end of each supporting column, a clamping plate is arranged on one side of the connecting plate, and a clamping structure is arranged on the clamping plate. The first detection box and the second detection box are both provided with openings used in cooperation with the clamping plates. Compared with the prior art, the utility model has the advantages that the detection of two surfaces can be completed at one time, the detection efficiency is high, the detection frequency can be increased, the detection can be carried out for multiple times, and the accuracy of the detection result is ensured.

The invention discloses a preparation method of a piezoelectric flexible super-hydrophobic raindrop sensor. The method comprises the following steps: mixing and curing P (VDF-TrFE), DMF, BTO and hydrogen peroxide to obtain an initial thin film, annealing the initial thin film, and depositing by using an electrode material to obtain a piezoelectric composite thin film; and covering one side of the piezoelectric composite film with the semi-cured PDMS with the microstructure, spin-coating the other side of the piezoelectric composite film with the PDMS, curing to obtain a piezoelectric composite-super-hydrophobic film, spin-coating the film with the modified nano titanium dioxide spin-coating liquid, curing, and repeating the operation to prepare the piezoelectric flexible super-hydrophobic raindrop sensor. According to the sensor, the optimal super-hydrophobic surface inclination angle is determined, the liquid drop contact time is remarkably shortened, the raindrop detection frequency and the rainfall intensity threshold value can be improved, the phenomena of liquid drop residue on the surface of the sensor and freezing in an extremely cold environment are effectively prevented, and the measurement precision and the environmental adaptability of the sensor are improved.

The application discloses a kind of soil microplastic detection method, device, equipment and medium, comprising: obtaining several soil samples in target area, and determine the soil parameters of soil sample;According to the soil parameters, the target area is divided, and first area and second area are obtained;The soil sample of first area is pretreated, and microplastic sample is obtained;The microplastic sample is analyzed, and the microplastic parameter corresponding to the microplastic sample is obtained;According to the microplastic parameter, determine the migration risk;According to the migration risk and the area of first area, determine the detection interval period of the soil microplastic of target area.The application belongs to the field of microplastic detection.The application can accurately determine the microplastic detection period.