395 results about "Dust detection" patented technology

The invention relates to the technical field of dust fall control, in particular to a mining spray dust fall control method and system based on image recognition, and the method comprises the steps: determining a corresponding simulation mining area model based on the mining area parameters of a to-be-controlled mining area when an actual dust diffusion diagram contains a shadow region; based on the construction parameters of the to-be-controlled mining area and the simulated mining area model, a simulated dust diffusion diagram corresponding to the to-be-controlled mining area is obtained; determining a target dust diffusion diagram based on the actual dust diffusion diagram and the simulated dust diffusion diagram; edge detection and granularity analysis are carried out on the target dust diffusion diagram, and dust information corresponding to the to-be-controlled mining area is determined from the target dust diffusion diagram; and generating a spraying regulation instruction based on the dust information, wherein the spraying regulation instruction is used for controlling the spraying equipment to perform dust falling operation based on the spraying regulation instruction. The accuracy of a dust detection result is conveniently improved, so that the dust falling effect is improved.

The invention provides a flying dust online detection method and system based on laser, and the method comprises the following steps: obtaining laser scattering signal intensity, particle concentration, wind speed, wind direction, humidity and other environmental meteorological data before and after the abnormality when the flying dust concentration of a flying dust monitoring region is monitored to be abnormal; calculating laser scattering energy and a particulate matter concentration change rate to obtain a flying dust concentration change coefficient; and judging an abnormal type according to the change coefficient and an abnormal identification criterion, and if the flying dust concentration in the region exceeds the standard, starting an early warning action to realize management of the flying dust monitoring region. According to the invention, the abnormal type of dust raising can be accurately identified, early warning is started in time, and the environment management and control capability of a dust raising monitoring area is improved.

The invention relates to the related technical field of dust detection, and provides a mining induced charge and light scattering fusion dust detection device and method.The dust detection device comprises a workbench, a sampling assembly and a detection assembly, and the sampling assembly comprises a sampling air pump, a conical airflow homogenizer and a closed sampling cavity; the detection assembly comprises an annular sliding rail, a light scattering detection module and an electrostatic induction detection module; the dust detection method comprises the following steps: S1, device initialization and zero calibration; s2, sampling preparation of dust-containing airflow; s3, dual-module synchronous signal acquisition; s4, data processing and temperature and humidity compensation; s5, carrying out anti-interference protection assembly; and S6, data fusion and result output. S7, device cleaning and standby; through cooperative work of the double detection modules, dust detection signals in different concentration intervals are accurately captured, wide-range coverage from low concentration to high concentration is achieved, and synchronous monitoring of dust concentration and particle size characteristics is achieved.

The embodiment of the invention provides a self-cleaning solar photovoltaic panel, and relates to the field of solar power generation. The self-cleaning solar photovoltaic panel comprises a photovoltaic panel body, a dust detection assembly and a cleaning mechanism, the dust detection assembly comprises an infrared imaging sensor and a visible light camera; and the cleaning mechanism is connected with the photovoltaic panel body and is used for cleaning the photovoltaic panel body. According to the self-cleaning solar photovoltaic panel provided by the invention, automatic detection and cleaning operation of dust on the surface of the photovoltaic panel can be realized, the workload and safety risk of manual cleaning are reduced, the power generation efficiency of the photovoltaic panel is effectively improved, and the service life of equipment is effectively prolonged.

The invention belongs to the technical field of fabric breadth detection, and particularly relates to anti-wrinkle high-elasticity composite textile fabric breadth detection equipment which comprises a detection table, a feeding guide roller and a discharging guide roller which are arranged on the two sides of the top of the detection table, and a detection box fixedly arranged on the top of the detection table, a feeding hole and a discharging hole are respectively formed in two sides of the detection box, and a sealing door plate is arranged at the top of the detection box; and the dust detection mechanism is arranged on the side wall of the detection box. Through cooperative operation of the dust detection mechanism, the cleaning mechanism, the optical breadth detection mechanism, the electric signal adjusting mechanism, the marking mechanism and the like, the position of a detection component can be accurately adjusted according to the breadth of the fabric, dust and impurities of the fabric are cleaned, the device adapts to the fabrics with different thicknesses, breadth abnormal parts can be marked, meanwhile, the detection environment is optimized, and the detection efficiency is improved. The problems of measurement errors, dust interference and the like of existing equipment are effectively solved, and the detection precision, the applicability and the working efficiency are greatly improved.

The invention provides a dust collector motor monitoring control method, and belongs to the technical field of dust collector motor control, and the method comprises the following steps: collecting the response speed information of different dusts, carpets, wooden floors, tile floors and rough floors to motors; a vibration sensor, a temperature sensor, a current sensor, a dust detection sensor, a ground style detection device and a motor speed control and data analysis device are arranged on a dust collection motor, and when a user uses the dust motor, the ground style detection device detects ground style information of a use site; then, the corresponding speed information of the corresponding motor is initially called for initial operation, and model learning is carried out on the collected data to form a closed-loop control process. The type of the bottom plate to be cleaned can be automatically recognized, then the optimal suction force for controlling dust collection is output according to the recognized type, the cleaning effect is better, meanwhile, substances stirred on the bottom plate and the size of the substances can be automatically recognized, a user is timely informed of cleaning, and a motor is prevented from being damaged.

The utility model provides a coal mine underground drilling on-line monitoring device system which comprises a drilling main body and a monitoring shell which are movably connected, the drilling main body is provided with an air inlet pipeline and an air outlet pipeline, an air inlet detection cavity channel and an air outlet detection cavity channel are arranged in the monitoring shell, the air inlet detection cavity channel is communicated with the air inlet pipeline, and the air outlet detection cavity channel is communicated with the air outlet pipeline. The air outlet detection cavity channel is communicated with the air outlet pipeline; a first flow detection assembly, a first pressure detection assembly and a first temperature detection assembly are arranged in the air inlet detection cavity channel, and a second flow detection assembly, a second pressure detection assembly, a gas detection assembly and a dust detection assembly are arranged in the air outlet detection cavity channel. A second temperature detection assembly and an obstacle detection assembly are further arranged on the peripheral wall of the monitoring shell. The device is high in detection speed and high in detection accuracy, and the automation degree of the coal mine drilling equipment is effectively improved.

The invention belongs to the technical field of power generation power prediction, and particularly relates to an intelligent prediction method for photovoltaic short-term power generation power combination, which comprises a plurality of photovoltaic modules and a power generation power combination prediction system, and air cleanliness testers are arranged around the plurality of photovoltaic modules. An air dust detection module is arranged in the air cleanliness tester, and the power generation power combined prediction system comprises an intelligent network end module, an intelligent prediction module and a block chain center module. The intelligent network end module comprises a haze unit, a wind power unit and a geographical environment unit, the intelligent network end module is electrically connected with the intelligent prediction module, and the intelligent prediction module is electrically connected with the block chain center module. And due to the fact that dust and dirt are accumulated on the photovoltaic surface, the sunlight absorption capacity of the photovoltaic system is reduced, and predicted generated power data are not accurate.

The invention provides a coal mine underground MR safety training system, which comprises an intrinsically safe MR head display device, a multi-mode communication center module, a roadway environment sensing unit, a virtual-real fusion training engine and an intelligent evaluation system, and is characterized in that the intrinsically safe MR head display device comprises an annular distributed antenna array and a wide bandgap semiconductor circuit; the antenna is embedded in an anti-collision beam of the mining helmet, and intrinsic safety is achieved through dynamic power control; the multi-mode communication central module forms a dual-channel redundant architecture by an industrial Ethernet interface and a mining wireless unit, is internally provided with a dynamic routing chip, and automatically switches communication modes according to methane concentration and dust detection values to ensure low-delay and high-reliability transmission; the roadway environment sensing unit integrates a geological radar and a micro-seismic monitoring device, constructs a three-dimensional dynamic geological model in real time, and continuously updates roof displacement data.

The invention discloses an intelligent protection device of an outdoor energy storage cabinet and a control method of the intelligent protection device. The intelligent protection device comprises a wind direction and dust detection assembly arranged at the top of an energy storage cabinet body, a sand and dust filtering box installed at an air inlet of the energy storage cabinet body, an air outlet adjusting box installed at an air outlet of the energy storage cabinet body and an air inlet adjusting box arranged on the side face of the sand and dust filtering box. The air inlet adjusting box and the air outlet adjusting box are the same in size and structure, and one end of the air inlet adjusting box is open and communicates with the interior of the sand and dust filtering box. According to the outdoor energy storage cabinet, the directions of air ports of the air inlet adjusting box and the air outlet adjusting box can be adjusted, dust is effectively prevented from being directly blown into the air outlet adjusting box and the air inlet adjusting box by wind in the ventilation process, on one hand, the ventilation and heat dissipation effects of the outdoor energy storage cabinet are remarkably improved, and the stability of the temperature in the cabinet body is ensured; the service efficiency and the service life of the energy storage cabinet are effectively improved; and on the other hand, damage of sand and dust to equipment in the cabinet body is avoided, and the fault rate and maintenance cost of the equipment are reduced.

The invention belongs to the technical field of optical lens dust removal, and particularly relates to a high-precision dust removal method and system for an optical lens. According to the invention, multiple imaging data are adopted for mutual verification, so that the dust detection accuracy is remarkably improved, the problem of missing detection or misjudgment possibly occurring in a traditional single detection mode is avoided, the reliability of the overall dust removal effect is further improved, the cleaning result can be monitored in real time, and dynamic strategy adjustment is performed according to feedback information; closed-loop feedback not only improves the dust removal efficiency, but also enables the cleaning process to have self-adaptive ability, can cope with changes of various environments and dust accumulation degrees, ensures that the cleaning quality can still be guaranteed under complex working conditions, provides customized cleaning schemes for different areas by utilizing compensation information, and improves the cleaning efficiency. Dust with different thicknesses and different accumulation conditions is treated in a targeted manner, the phenomenon of excessive cleaning or insufficient cleaning is avoided, and the purposes of protecting the surface of the lens and prolonging the service life of the lens are achieved.

The invention discloses an electronic screen film surface dust detection method based on photometric stereo. The method comprises the following steps: image acquisition: acquiring 4-8 grayscale images in different incident directions; image preprocessing: carrying out edge-preserving noise reduction processing on the original image by adopting a bilateral filter, improving the smoothness by combining a Gaussian filter, and converting the filtered image into a floating point type; normal reconstruction: calculating a surface normal vector corresponding to each pixel point through a least square method or robust estimation according to a photometric stereo principle by utilizing a multi-light source matrix form, and generating a normal distribution diagram; curvature calculation: estimating a local curved surface of each pixel neighborhood based on the reconstructed normal graph; and dust identification: through setting a dynamic threshold and a region growing algorithm, extracting a continuous and significant normal disturbance region, and carrying out classification, marking and visual output in combination with characteristics such as area, length, boundary curvature and the like.

The invention relates to the technical field of physicochemical property detection, in particular to a full-automatic smoke dust detection method and a tester, and the method comprises the following steps: acquiring the concentration, temperature and relative humidity data of the inner wall of a flue, and preprocessing; dividing the temperature sequence into a plurality of temperature subsequences, and obtaining a concentration subsequence and a relative humidity subsequence of a corresponding bit sequence; obtaining a noise content index of a single temperature subsequence; obtaining the size of a filtering window of the filter in a single temperature sub-sequence; acquiring peak values and valley values of all the concentration subsequences and the relative humidity subsequences, and acquiring in-peak elements of all the peak values; acquiring a violent index of each peak value; acquiring a humidity irrelevant coefficient of a single concentration subsequence; acquiring a concentration correction factor of a single concentration subsequence; and correcting each concentration sub-sequence. According to the method, the concentration correction factor can be adaptively adjusted according to different process parameters, so that the detection precision of the smoke concentration is improved.

The invention discloses a dust collector base station dust accumulation detection method and device, a terminal and a storage medium, and the method comprises the steps: monitoring the internal pressure of a dust collector base station in real time, obtaining an internal pressure value, and comparing the internal pressure value with a preset pressure threshold value to obtain a pressure measurement result when an air draft motor in the dust collector base station operates; when the pressure measurement result is abnormal, acquiring dust data in the dust collection bag through a dust collector base station dust detection sensor and analyzing the dust data; constructing a dust fullness evaluation formula according to the dust data, and judging whether the dust in the dust collection bag reaches a dust fullness standard or not according to the dust fullness evaluation formula; if the dust reaches the dust fullness standard, a dust fullness signal is sent to a prompt mechanism of the dust collector base station, and the prompt mechanism gives out a dust fullness warning. The dust accumulation condition in the dust collection bag can be accurately judged, the air draft motor is prevented from being damaged by dust accumulation, and the accuracy of dust fullness detection is improved.

The invention discloses a mine water mist type wet dust removal system and dust removal method.The mine water mist type wet dust removal system comprises a transportation plate, a water tank and a foam box are installed on the transportation plate, the foam box and the water tank are connected with a stirring frame through a driving assembly, and a dust detector is installed on the foam box; a servo electric cylinder is installed on the conveying plate, the output end of the servo electric cylinder is connected with a supporting frame through a rotating assembly, a water discharging pipe and a foam discharging pipe are installed on the supporting frame, and the water discharging pipe and the foam discharging pipe are connected with an atomizing spray head and a foam spray head through clamping assemblies correspondingly. A first connecting assembly and a second connecting assembly are respectively arranged between the drain pipe and the foam discharge pipe and between the water tank and the foam box; water mist and foam are combined for use, the water mist can wet and suspend dust particles in the air, the foam more effectively catches and adheres the particles through the viscosity and coverage of the foam, and the atomizing spray head and the foam spray head can be rapidly replaced.

The invention relates to dust detection, in particular to a dust isolation sensor with a self-cleaning function, which comprises a box body, the box body is provided with an air duct, the air duct is provided with an air inlet and an air outlet, the dust isolation sensor also comprises a light-emitting component and a light-sensing component, a graphite electrode is inserted into the air duct, and the graphite electrode is connected to one electrode of a direct-current power supply; an air suction port of the air suction fan faces an air outlet of the air duct; the vibration motor is mounted on the outer side wall of the air duct, and the vibration motor vibrates to drive the air duct to vibrate; the device further comprises an air blowing nozzle, the air blowing nozzle comprises an air inlet and an air blowing opening, the air blowing opening faces the inner cavity of the air channel, the air inlet is connected to an air pump, and the air pump is connected to an air source containing clean air. The box body is connected with a ceramic bracket which supports a graphite electrode; a rubber pad is padded at the connecting part of the ceramic bracket and the graphite electrode; dust in the air duct is continuously removed, and the long-term use stability of the dust sensor is kept.

The invention relates to the technical field of air filtering, and particularly discloses an anti-pollution air filtering device which comprises a box body, an air inlet and an air outlet, the air inlet and the air outlet are formed in the two ends of the box body respectively, the air inlet sucks air into the box body, the air outlet discharges treated air into a room, a filtering cavity is formed in the box body, and the filtering cavity is communicated with the box body. The filtering cavity is communicated with the air inlet, a filtering part is connected into the filtering cavity and used for filtering dust in air, the detection assemblies are connected into the filtering cavity, arranged at the two ends of the filtering part and used for detecting whether the wind resistance of the filtering part is increased or not, and when the difference value of the wind resistance on the two sides of the filtering part is within the standard value range, the detection assemblies are connected into the filtering cavity. The detection assembly monitors that the filtering part is in the unblocked state, when the detection assembly monitors that the difference value of the wind resistance on the two sides of the filtering part exceeds the standard range, the detection assembly detects whether the filtering part is blocked or not according to the difference value judgment value before and after the filtering part, then the filtering part can be cleaned in time, and transmission of the wind speed and the wind power is prevented from being slowed down.

The invention relates to the field of deep hole drilling, in particular to a deep hole drilling precision regulation and control method and device based on dust detection. When a machining instruction is received, tool data of equipment and material data of a workpiece are obtained; inputting the tool data and the material data into a preset correlation model, and analyzing and outputting equipment initial processing parameters through the correlation model; when the equipment starts machining, dust data of the machining area are obtained in real time, and whether the conditions for adjusting the machining parameters are met or not is judged according to the dust data; analyzing the dust data, extracting the dust capacity of the processing area, and if the dust capacity exceeds a preset dynamic threshold value, judging that the condition of adjusting the processing data of the equipment is met; based on a judgment result, analyzing dust distribution information of the workpiece machining area; and processing adjustment parameters of the equipment are generated according to the dust distribution information of the workpiece processing area. By analyzing the dust distribution information, the system can further optimize the conditions of the machining areas, and it is ensured that the machining effect of each area is accurately controlled.

The utility model discloses a rail type dust raising detection fog gun machine for municipal road construction, and relates to the technical field of dust raising equipment. The problems that in the prior art, a fixed fog gun machine cannot conveniently raise dust in a municipal road construction area, and the dust raising quality is poor are solved. Comprising a fog gun machine and a base, the fog gun machine is rotationally arranged on the base, the fog gun machine comprises a support, the support is built along a municipal road construction area, a guide rail is arranged on the support, the base is provided with a sliding block in sliding fit with the guide rail, and the support is provided with a driving mechanism for driving the base to slide. According to the rail-mounted raised dust detection fog gun machine for municipal road construction, the driving mechanism drives the fog gun machine to move on the guide rail in the working process of raising dust in a municipal road construction area and spraying and raising dust of the fog gun machine, so that the whole municipal road construction area is sprayed and covered with raised dust, convenience is brought to raised dust, and the raised dust quality is improved; meanwhile, the labor intensity of workers is reduced.

The invention relates to the technical field of outdoor electrical equipment protection, and discloses an outdoor cabinet intelligent self-cleaning system adaptive to a complex environment, the self-cleaning system is composed of a cabinet shell, a dustproof module, a self-cleaning module, a dust collection groove, a detection module and a control module, the cabinet shell provides a high-strength and corrosion-resistant protection structure, and the dust collection groove is provided with a dust collection groove. Air circulation is realized through the air inlet and the air outlet; the dustproof module is used for intercepting external dust; the self-cleaning module is used for removing dust accumulated on a filter screen, the dust collecting groove is used for collecting dust generated in the cleaning process, the detection module is used for monitoring the environment and the state of the filter screen in real time and collecting key data, and the control module is used for data processing, intelligent decision making, control signal generation and dynamic cleaning strategy adjustment. Through cooperative work of the cabinet shell, the dustproof module, the self-cleaning module, the dust collection groove, the detection module and the control module, the system can accurately sense environment changes, self-adaptively trigger cleaning operation and efficiently reduce manual intervention.

The utility model discloses a stockyard dust raising monitoring device which comprises a dust raising monitoring structure, a dust removal structure and a power structure, the dust raising monitoring structure is composed of a sampling head, a sampling pipe, a dust detection sensor and an air suction assembly, and the sampling head is fixedly installed at the upper end of the sampling pipe; the air suction assembly comprises an air pump and an air collecting cover which are fixedly mounted on the inner wall of the sampling pipe, a first air inlet pipe and a first air outlet pipe are fixedly mounted at the air inlet end and the air outlet end of the air pump respectively, the dust removal structure comprises a mounting pipe fixedly mounted on the inner wall of the sampling pipe, and an annular brush is fixedly mounted on the inner wall of the mounting pipe. By arranging the dust removal structure and the power structure, compared with the prior art, the device can suck external air into the sampling pipe for analysis and monitoring by using the air pump, and meanwhile, the air pump can drive the dust removal structure to clean the dust detection sensor when sucking air each time; therefore, the problem that a large amount of dust is attached to the surface of the dust detection sensor to affect the precision is avoided.

The invention discloses novel dust removal equipment capable of improving dust removal efficiency, the novel dust removal equipment comprises a base, a control device and a dust detection mechanism, the bottom of the base is provided with a moving assembly, one side of the base is provided with a rotating shaft, the base is connected with a push rod through the rotating shaft, and the control device is arranged above the base. A dust collection assembly is arranged at the top of the control device, a filtering assembly is arranged on one side of the dust collection assembly, the dust detection mechanism is arranged on one side of the top of the filtering assembly, and a spraying assembly is arranged on the other side of the filtering assembly. According to the novel dust removal equipment capable of improving the dust removal efficiency, the dust collection assembly and the filtering assembly are arranged, the dust collection assembly can conveniently collect dust floating in air through three dust collection covers, the collection mode is simple, the collection effect is good, the filtering assembly can conveniently filter the collected dust layer by layer, the filtering mode is simple, and the dust removal efficiency is improved. The filtering effect is good, and dust removal is facilitated.

The invention provides a photovoltaic module electrostatic adsorption type dust removal device and method based on longitudinal airflow, and relates to the technical field of photovoltaic power source.The device comprises a dust detection module, a dust removal module and a computer, and the method comprises the steps that dust detection is conducted based on the dust detection module; and driving a dust removal module to remove dust based on a dust detection result. According to the electrostatic adsorption type dust removal device based on the longitudinal airflow, intermittent longitudinal airflow is provided for assisting electrostatic adsorption type dust removal of the photovoltaic module for the first time, a pneumatic device with the switching period being 1 s is designed, dust particles jump under the action of electrostatic force and then rapidly leave a dust removal area under traction of the longitudinal airflow, the electrostatic adsorption type dust removal device based on the longitudinal airflow runs for 2 s, and the dust removal rate is 91.14%; the dust removal efficiency is obviously improved, and the dust removal process realizes low energy consumption, no hydration and no contact. In addition, the dust detection module is adopted to detect the dust, whether the dust needs to be removed or the removing parameters are judged, and use is convenient.

The utility model is applicable to the technical field of dust detection, and provides a cyclone breathing type dust filtering device which comprises a discharging assembly, a material distributing assembly is arranged at the bottom of the discharging assembly, a fan assembly is arranged on one side, far away from the discharging assembly, of the material distributing assembly, a base assembly is arranged at the bottom of the fan assembly, and the base assembly is provided with a dust collecting assembly. The discharging assembly comprises a discharging main body, a first storage groove is formed in the discharging assembly, a second storage groove is connected with the first storage groove, the second storage groove is conical, a first discharging hole is formed in the end, with the smaller diameter, of the second storage groove, a fan main body is connected with a motor, the motor starts the fan main body, and the fan main body is connected with the discharging assembly. The fan body drives the fan blades, the fan blades rotate to drive dust to flow, the dust flows through the discharging channel and then flows to the dust detection position through the discharging port, the whole device achieves dust conveying, and it is guaranteed that the dust reaches the dust detection position by controlling the dust flow speed and the dust flowing channel.

The invention discloses a digging and anchoring surface'pressing-pumping-spraying 'intelligent cooperative dust control and removal experiment platform, which comprises an operation simulation system, a dust removal simulation system and an intelligent centralized control system, and is characterized in that the intelligent centralized control system comprises an industrial personal computer, and the industrial personal computer is used for driving and adjusting the operation simulation system and the dust removal simulation system; the operation simulation system comprises a digging and anchoring all-in-one machine and a belt conveyor, a plurality of groups of sensors are arranged in the roadway at intervals, each group of sensors comprises a roadway dust concentration sensor and a roadway gas concentration sensor, and the detection output end of each roadway dust concentration sensor is connected with the roadway dust detection signal input end of the industrial personal computer. The detection output ends of the roadway gas concentration sensors are connected with the roadway gas detection signal input end of the industrial personal computer; the dust removal simulation system comprises a pressure fan, a dust removal fan and a local pressure fan. Different working conditions can be simulated and verified, and an efficient, accurate and dynamically optimized comprehensive treatment scheme can be obtained.

The invention relates to the technical field of image processing, in particular to an intelligent dust identification method and system based on machine vision. The method comprises the following steps: acquiring a sequence of continuous video image frames of a target area; for any target frame in the sequence, a multi-channel fusion feature input map is constructed, and the multi-channel fusion feature input map comprises RGB channel data of the target frame, a wavelet transform coefficient of the target frame and an optical flow vector field of the target frame; and inputting the multi-channel fusion feature input graph into a preset dust neural network model, and outputting a dust detection result of the target area. According to the scheme, the dust condition of the target area can be accurately detected.

The invention discloses a photovoltaic power station monitoring system and method, and the system comprises a centralized photovoltaic power generation system, each group of photovoltaic panel arrays is correspondingly provided with a group of monitoring devices, and the monitoring devices are used for obtaining environment parameter data and voltage and current data outputted by each group of photovoltaic panel arrays; the analogue simulation module is used for simulating a power generation scene of each group of photovoltaic panel arrays and can output predicted voltage and current data and power generation power; the generated power predicted by the analogue simulation module is compared with the actual generated power, and when the difference value is larger than a first threshold value, it is determined that the group of photovoltaic panel arrays are abnormal; the monitoring device is further provided with a dust detection device, and if the group of photovoltaic panel arrays is not abnormal and the difference value is greater than a second threshold value, the group of photovoltaic panel arrays is reminded of dust cleaning. According to the system and the method, a plurality of groups of photovoltaic panel arrays can be simultaneously and respectively monitored, and whether each group of photovoltaic panel array is abnormal or not and whether dust needs to be cleaned or not can be respectively judged.

The invention relates to the technical field of air purification, in particular to a workshop air purifier intelligent regulation and control method based on laser dust detection, and the method comprises the steps: firstly obtaining particle size grading concentration data in real time through a laser detection device, and calculating a dynamic pollution index of each monitoring point in combination with a preset weight coefficient; a pollution core area and a diffusion trend are identified according to exponential distribution, an optimal air distribution scheme is generated based on the position of the core area and the concentration gradient, meanwhile, the purifier power and the filter screen mode are adjusted in a self-adaptive mode according to the concentration change rate and the target threshold value, and control parameters are optimized regularly based on an energy consumption efficiency model and the standard reaching time; according to the invention, the concentration data of PM10, PM2.5 and PM0.5 are obtained by grading in real time through the laser dust detection device, and the comprehensive hazard index of dust is accurately quantified in combination with a dynamic weight coefficient set by a respiratory deposition medical model, so that the problem that the particle size toxicity difference cannot be distinguished in the prior art is thoroughly solved.

The present invention relates to dust detection, and in particular to a dust isolation sensor with a self-cleaning function, comprising a box body, which is provided with an air duct, which has an air inlet and an air outlet, a light-emitting component and a photosensitive component, a graphite electrode inserted in the air duct, and the graphite electrode is connected to an electrode of a DC power supply; the air inlet of the suction fan faces the air outlet of the air duct; the box body also comprises a vibration motor, which is installed on the outer wall of the air duct, and the vibration of the vibration motor drives the air duct to vibrate; the box body also comprises an air blowing nozzle, which includes an air inlet and an air blowing port, and the air blowing nozzle faces the inner cavity of the air duct, the air inlet is connected to an air pump, and the air pump is connected to an air source containing clean air; the box body is connected to a ceramic bracket, which supports the graphite electrode; the part where the ceramic bracket is connected to the graphite electrode is padded with a rubber pad; the dust in the air duct is continuously removed to maintain the stability of the dust sensor during long-term use.

The invention discloses a computer room dust detection alarm device and an alarm system thereof, and relates to the technical field of computer rooms, the computer room dust detection alarm device comprises an air inlet assembly, a detection assembly and a collection assembly, a ventilation assembly is arranged at the outer end of the top of the air inlet assembly, and the detection assembly is arranged at the outer end of the top of the ventilation assembly; and an acquisition assembly is arranged on the outer side of the top of the detection assembly. In the rotating process of the first collecting blade, the copper block plate can be driven to rotate in the surrounding seat, the copper block plate can continuously rub with the rubber layer in the rotating process, static electricity can be generated on the surface of the copper block plate through friction between the copper block plate and the rubber layer, and the static electricity can be transmitted to the surfaces of the first collecting blade and the second collecting blade through the rotating shaft; therefore, in the air exhaust process of the air exhaust and blowing all-in-one machine, the blades can effectively collect dust in the space of the machine room, and the situation that the detection result is affected by uneven distribution of indoor dust can be reduced by adopting the mode of multi-site collection and then unified detection.