325 results about "Oil pollution" patented technology

The invention discloses a hydraulic engineering motor set fault early warning system, and relates to the technical field of hydraulic engineering equipment monitoring, and the hydraulic engineering motor set fault early warning system comprises the following steps: S1, collecting and integrating mechanical state data, including vibration, temperature and oil pollution monitoring; s2, electrical parameter monitoring and complementary analysis are carried out, and mechanical data are associated to identify faults such as short circuit; s3, hydraulic monitoring and cooperative early warning are carried out, pressure flow abnormity is detected, and mechanical and electrical data are linked; s4, multi-source data fusion and fault classification are carried out, and dynamic weight distribution is carried out to improve the diagnosis accuracy; s5, dynamic threshold optimization and cloud decision making are carried out, and the threshold is adjusted according to working conditions to reduce the false alarm rate; s6, closed-loop maintenance and intelligent pushing are carried out, faults are positioned, maintenance suggestions are pushed, and closed-loop verification is carried out; the method has the beneficial effects that accurate fault classification, cross-dimension collaborative early warning and closed-loop maintenance decision making are realized, and the operation reliability and the maintenance efficiency of the unit are remarkably improved.

The invention discloses a surveying and mapping method based on remote sensing big data analysis, and relates to the technical field of remote sensing big data. During operation of the system, images and spectral data of a target water body area are collected through satellite remote sensing, unmanned aerial vehicle remote sensing or a ground sensor, the collected remote sensing data are preprocessed, and the target water body area is obtained through waveband combination or spectral line analysis; the method comprises the following steps: extracting characteristic parameters of a water body by utilizing spectral information in remote sensing data, carrying out multi-dimensional analysis on field data, calculating to obtain a water body turbidity coefficient Ct, an algal bloom coefficient Ca and an oil pollution coefficient Co, and analyzing the influence of potential pollution sources, agricultural runoff and industrial wastewater discharge on the water body by combining the remote sensing data and geographic information. And performing spatial-temporal change analysis on the water body pollution condition, identifying the trend of pollutant expansion or degradation, and based on the results of pollution assessment and spatial-temporal analysis, comparing the comprehensive water quality index WQI with a preset threshold to generate water quality level early warning information.

The invention relates to the technical field of wind driven generator monitoring, in particular to a fan fault early warning and diagnosis method fusing multi-modal time sequence data, which comprises the following steps: respectively acquiring vibration time sequence data, current time sequence data and temperature time sequence data of a fan, and respectively calculating a first feature sequence, a second feature sequence and a third feature sequence; generating a fault early warning signal based on a three-state polarity synchronous counting mechanism; calculating a dispersion statistical value, and executing chronic fault diagnosis; when the fan is in a low-load steady-state working condition, active lubrication state detection and feedback are executed; when the first feature sequence is calculated, synchronously executing adjoint oil product pollution diagnosis; and the environment temperature is judged through the temperature time sequence data, and low-temperature working condition adaptability compensation is executed under the low-temperature working condition. The main purpose of the invention is to solve the problems in the prior art that early fault signs cannot be effectively captured due to information loss during fusion processing of multi-modal data, and real faults and external interference are difficult to distinguish.

The invention discloses a wind power generation equipment gearbox oil state detection method and system, and the method comprises the steps: obtaining an oil sample, carrying out the quantitative analysis of solid, liquid and gas pollutants through an oil pollution degree analysis model, and processing the parameters such as kinematic viscosity through an oil physicochemical property analysis model; and after the tensors of the two results are fused, feature decoupling and deep feature mining are performed, and finally, the oil state is judged by a state evaluation decision model. The system is correspondingly provided with six units such as a sample acquisition unit and a pollution analysis unit to realize the functions. According to the scheme, the defects that traditional detection is single and correlation analysis is lacked are overcome, a certain index is not independently detected any more, pollution and physicochemical property information is comprehensively integrated, the relation between the pollution and the physicochemical property information is deeply analyzed through tensor fusion, feature decoupling and other technical means, accurate evaluation of the oil state of the gearbox is achieved, and the detection accuracy is improved. And misjudgment caused by one-sided detection or no consideration of mutual relations is effectively avoided.

The invention discloses a steel plate defect detection method and system, electronic equipment and a storage medium, and is characterized in that the method comprises the following steps: synchronously collecting a surface optical image, ultrasonic detection data and infrared thermal imaging data of a steel plate, and carrying out space-time registration and noise suppression processing on the multi-modal data; high-precision multi-defect detection: through multi-modal data fusion and a deep learning model, the single-frame processing time consumption is less than or equal to 15ms, the omission ratio is less than or equal to 0.3%, and the industrial high-speed continuous operation requirement is met; the interference such as oil contamination and light reflection is effectively inhibited through multi-modal data cross validation, the false alarm rate is reduced, the environmental adaptability reaches-20 DEG C to 60 DEG C / 95% RH, and the stability of complex working conditions is ensured; manual work is replaced by full-automatic detection, so that the cost is saved, a defect data driving process is optimized, the yield is improved by 3%-5%, and the operation and maintenance efficiency is improved by 70%; the modular design supports detection of multiple metal plates, the model supports online learning and remote upgrading, seamless connection with an industrial Internet of Things platform is achieved, and the technology expansibility is high.

The invention provides a lubricating oil production multi-source data fusion analysis method which comprises the following steps: acquiring a stirrer rotating speed signal, acquiring pressure distribution data of a corresponding pipeline, and if the stirrer rotating speed fluctuation range exceeds a preset threshold range, marking that the stirring rotating speed is abnormal; analyzing the pressure distribution change of the pipeline when the stirring rotating speed is abnormal, combining the monitored viscosity change of the oil fluid and the difference of the oil circulating flow speed, and performing fusion calculation to obtain a shear stress distribution index in the pipeline; if the shear stress distribution index is abnormal, the suspension state of oil particles and the deposition rate of pollution particles are detected, and if the suspension state and the deposition rate exceed corresponding preset threshold values, the oil pollution diffusion degree is determined through the suspension state and the deposition rate; and identifying abnormal equipment according to the abnormal signal time sequence correlation, acquiring operation parameters of the abnormal equipment, synchronously analyzing to obtain equipment operation state coupling, analyzing equipment fault chain reaction characteristics, and generating an equipment chain abnormality distribution diagram according to the chain reaction characteristics.

The invention discloses an automatic transformer disassembly process, which relates to the technical field of transformer disassembly and comprises the steps of oil drainage, oil standing, weighing, cutting of bolts between an upper cover and a shell, hoisting and cutting separation of the upper cover and a battery cell, cutting separation of the upper cover and an upper frame, battery cell carrying, silicon steel sheet (or silicon steel sheet) extraction, copper winding pulling out, bottom frame output and the like. Automatic disassembly of transformers can be achieved, the whole disassembly process is operated in a closed-loop mode in a container, disassembly work of 72 transformers can be completed in one day, safety accidents can be avoided, the disassembly efficiency is improved, and the problems that in a traditional operation mode, operators are exposed to occupational health risks such as oil contamination leakage and mechanical injury for a long time, and the working efficiency is high are solved. And the operation standardization degree is low due to excessive dependence on artificial experience.

The embodiment of the present invention discloses a method, device, electronic device and storage medium for identifying ground oil pollution in a substation. The method includes: obtaining a ground image to be detected of the substation to be tested; inputting the ground image to be detected into a pre-trained ground oil pollution semantic recognition model to obtain a target ground image; wherein the ground oil pollution semantic recognition model is constructed based on a fully convolutional network and a residual network, and the model parameters in the ground oil pollution semantic recognition model are determined based on a random weighted average method; if the target ground image is marked with at least one ground oil pollution, the target ground image is output to the management platform of the substation to be tested. Through the technical solution of the embodiment of the present invention, the technical effect of improving the accuracy and speed of identifying ground oil pollution is achieved.

The utility model discloses a gun barrel type machine vision detection mechanism for high oil contamination occasions, which comprises a displacement sliding table, a rotating shaft sleeve is movably arranged on one side of the displacement sliding table, a camera shaft sleeve is inserted into the lower end of the rotating shaft sleeve, and a first sealing ring is mounted at the joint of the camera shaft sleeve and the rotating shaft sleeve. A second sealing ring is mounted at the joint of the light source shaft sleeve and the camera shaft sleeve, a camera is mounted in the camera shaft sleeve, a lens is arranged below the camera, a light source is mounted in the bottom end of the light source shaft sleeve, and a third sealing ring is mounted at the joint of the light source and the light source shaft sleeve. The integrated design of the camera, the lens and the light source is adopted, the rotating shaft sleeve can drive the camera and the light source to rotate together, and the adjusting efficiency of the camera is improved; sealing rings are further arranged at the connecting positions of all the components, oil stains can be effectively prevented from invading the interior of the machine body to corrode the camera, and the service life of the detection mechanism is prolonged.

The invention provides a coal mill oil way plate and a reversing control device thereof, and relates to the technical field of coal mill oil way plates, the coal mill oil way plate comprises a valve block body, a proportional overflow valve, a duplex electromagnetic reversing valve group, a working oil way group, two hydraulic control one-way valve groups, two energy accumulators, a safety overflow valve, an online particle counter and a spiral cooling flow channel. The redundancy design of the duplex electromagnetic directional valve group improves the reliability of the system, so that the system can still be operated when a single valve fails, the hydraulic control one-way valve group realizes mechanical locking of an oil cylinder and can prevent a grinding roller from falling off during power failure, and the energy accumulator is connected with a working oil duct through a connector to absorb pressure impact and compensate leakage, so that the stability of loading pressure is maintained, and the reliability of the system is improved. The on-line particle counter gives an early warning of oil pollution in real time, hydraulic faults can be reduced, the spiral cooling flow channel is matched with the semiconductor temperature control piece to adjust the oil temperature, and the problem of pressure drift caused by oil viscosity fluctuation under high and low temperature working conditions is solved.

The invention relates to an oil-free digital energy air compression station monitoring system based on an air floating shaft, which comprises a data acquisition module, a communication module, a central processing unit, a monitoring terminal and a control execution module, and is characterized in that the data acquisition module is responsible for acquiring information such as the rotating speed of the air floating shaft, the inlet and outlet pressure and temperature of an air compressor, motor operation parameters and the like in real time; the communication module is used for transmitting the acquired data to the central processing unit; the central processing unit analyzes, processes and stores the received data and generates a corresponding control signal; the monitoring terminal is used for displaying information and receiving an operation instruction; and the control execution module controls the air compression station according to the control signal. According to the system, oil pollution is completely eradicated through an oil-free lubrication air floating shaft technology, and the air quality is guaranteed; accurate monitoring and fault early warning of core components and overall working conditions of the equipment are achieved through intelligent monitoring, and the stability and reliability of the equipment are improved; an operation strategy is intelligently optimized according to actual gas consumption requirements, and energy conservation and consumption reduction are achieved; and remote monitoring and management are supported.

The invention provides a steel pipe column machining detection method and system based on visual detection, and relates to the technical field of image detection, and the technical scheme is characterized in that a polarization analysis image and a structured light image of a target area of a steel pipe column are acquired; dividing the target area into an oil stain coverage area and a steel cleaning area; performing first two-dimensional defect detection treatment on the clean steel area, and performing second two-dimensional defect detection treatment on the oil stain coverage area in combination with the polarization information; establishing three-dimensional point cloud data according to the structured light image, and verifying or correcting the three-dimensional point cloud data in the oil contamination coverage area; and generating a quality evaluation report of the steel pipe column according to the two-dimensional defect detection result and the three-dimensional geometric measurement result. The steel pipe column processing detection method and system based on visual detection provided by the invention have the advantages of effectively coping with dynamic and non-uniform oil stain interference, and improving the surface defect detection accuracy and geometric dimension measurement reliability of the steel pipe column under oil stain pollution.

The invention provides a bearing surface defect detection method based on a Yov8s-DDC model, and the method comprises the following steps: constructing a Yov8s-DDC model for defect detection, the Yov8s-DDC model comprising a backbone network, a neck network and a head network; wherein the backbone network is obtained by introducing a deep separable convolution module to replace a part of standard convolution modules; the neck network is based on a neck network structure of a Yolov8s model, a diversified branch module is introduced to replace a part of standard convolution modules, and a CMA module combined with a Monte Carlo attention mechanism is introduced at the tail end of the neck network to obtain the neck network; a bearing surface defect data set is constructed, the Yov8s-DDC model is trained, and the trained Yov8s-DDC model is deployed; and acquiring a surface image of a to-be-detected bearing, inputting the surface image of the to-be-detected bearing into the trained Yolov8s-DDC model, and outputting defect information of the surface of the to-be-detected bearing. Aiming at the detection difficulties of complex surface texture, oil stain interference, various defects and different sizes of the bearing, the detection precision and speed are improved.

The water surface oil stain treatment device capable of reducing oil stain breaking comprises a ship body structure, a bionic driving structure, symmetrically-arranged oil stain treatment structures, an oil storage cavity, an oil discharge structure and a first fixing base are arranged on the ship body structure, a steering engine is arranged on the first fixing base, and a rudder plate is arranged at the output end of the steering engine. By the adoption of the structure, the bionic web drive can reduce the influence on water flow on the water surface as much as possible, and the oil surface is not prone to being broken and diffused in the advancing process; assembly line greasy dirt treatment, continuous greasy dirt adsorption and rapid extrusion and collection are achieved, the working time is greatly prolonged, and continuous and stable work is achieved; the oil stain treatment part is flexible to adjust and can accurately act on oil stains on the water surface under different immersion depths, so that the oil stain treatment quality is improved, and the working efficiency is obviously improved.

The invention discloses an antibacterial precious marine product packaging material and a preparation method thereof, and belongs to the technical field of packaging materials. The invention provides an antibacterial precious marine product packaging material. The antibacterial precious marine product packaging material is prepared from the following components in parts by weight: 130-150 parts of polylactic acid, 40-50 parts of a polylactic acid modifier, 0.1-10 parts of a quaternary ammonium salt antibacterial agent, 0.01-0.5 part of a cross-linking agent and 0.01-1 part of an initiator. The antibacterial precious marine product packaging material can meet the packaging requirements of different precious marine products in the market, and the technical effects of being antibacterial, damp-proof, fog-proof, oil-stain-resistant, capable of covering odor, easy to degrade and the like can be achieved.

The invention relates to a preparation method of a degradable cellulose acetate-based nanofiber membrane with high-efficiency photocatalytic performance, which comprises the following steps: based on a green and environment-friendly concept, taking degradable cellulose acetate as a substrate, and adding zinc oxide / tin oxide heterojunction nanoparticles which are prepared by a one-step sintering method and have high-efficiency photocatalytic performance into the substrate; and the nanofiber membrane is prepared through electrostatic spinning. The nanofibers are uniform in thickness, and the surface roughness of the membrane is improved after the heterojunction nanoparticles are added, so that the hydrophilicity is improved. After oil-water separation, the problem of oil contamination blockage is effectively solved by utilizing the photocatalytic performance of the heterojunction nano-particles, and meanwhile, compared with a single-photocatalyst oil-water separation membrane, the recombination rate of photon-generated carriers is reduced through synthesis of the heterojunction nano-particles, and the photocatalytic performance is effectively improved. The prepared degradable cellulose acetate-based nanofiber membrane with the efficient photocatalytic performance has a good separation effect on various oil-in-water emulsions, and the rejection rate of the degradable cellulose acetate-based nanofiber membrane can reach 99% or above.

The utility model provides a hydraulic station oil tank oil supplementing and exhausting integrated device, and relates to the field of hydraulic parts, the hydraulic station oil tank oil supplementing and exhausting integrated device comprises a conduction assembly, the top end of the conduction assembly is fixedly connected with a guiding assembly, the conduction assembly comprises a conduction body and a second connecting ring, and the bottom end of the conduction body is provided with a circulation opening; the guiding assembly comprises a guiding pipe, one end of the guiding pipe is fixedly connected to the through conductor, an open hole is formed in the outer side of the guiding pipe, a connector is arranged at the open hole, and the outer side of the connector is sleeved with a dustproof cap. By means of the design, the problems that an oil tank of a hydraulic station is slow in oil supplementing, air is prone to being mixed in the oil supplementing process, particulate pollutants are prevented from invading a system through an oil tank breathing opening, and oil pollution is caused are effectively solved, and the device is easy to manufacture, low in machining cost and high in field practicability.

The invention relates to a titanium alloy seamless tube online degreasing device and method.The device comprises a pre-oil-scraping device (42), an outer wall degreasing device (43) and an inner wall degreasing device (44), the pre-oil-scraping device (42) comprises an outer wall oil wiper (4) and an inner wall oil wiper (5), and pre-degreasing is achieved; the outer wall is degreased through a hot water spraying device (15), a degreasing fluid spraying device (16), a brush cleaning device (17), a magnetic polishing degreasing device (18), an annular water jet cutter (19) and an annular air knife (20) of the outer wall degreasing device (43); and the inner wall degreasing device (44) is used for degreasing the inner walls of the two ends of the titanium tube (2) clamped by the quick-plug connectors (36). The method comprises the following steps: S1, physical pre-scraping; s2, online outer wall degreasing; and S3, online inner wall degreasing. And directly connecting with a rolling mill to realize continuous degreasing. The problems that in the prior art, manual participation is large, production continuity is weak, the degreasing effect is poor, and rolling oil pollutes the production environment due to off-line degreasing are solved.

The invention relates to the technical field of sewage treatment, and discloses a heavy dirty oil treatment method and system based on three-phase separation, and the method comprises the steps: determining to-be-treated heavy dirty oil, sampling the to-be-treated heavy dirty oil to obtain a heavy dirty oil sample, determining a sample treatment score based on a test group, an initial water content, an initial metal content and the heavy dirty oil sample, summarizing the sample processing scores to obtain a plurality of sample processing scores, determining an optimal sample score based on the plurality of sample processing scores, taking a test group corresponding to the optimal sample score as an optimal test group, determining a preprocessed raw material and a three-phase separation mechanism based on the optimal test group, and performing quality detection on the oil-phase substance. And obtaining a quality detection score, determining a corrected separation parameter based on the quality detection score and the basic separation parameter, and determining a final oil-phase substance based on the corrected separation parameter, the three-phase separation mechanism and the oil-phase substance, thereby completing heavy dirty oil treatment. The treatment effect and the treatment quality of the heavy dirty oil treatment process can be improved.

The application discloses a construction method of a cigarette oil fume rapid identification marking system, uses oily fluorescent nano quantum dots as a signal part of a marking system, constructs a marking system capable of simultaneously marking multiple oil points, and after oil fume pollution is found in a production process, can quickly and accurately determine oil leakage and hidden point positions according to the markers on the cigarettes, avoids repeated appearance of the oil fume due to the fact that the problem point position cannot be found, and does not affect the efficacy of the oil product, effectively improves the efficiency and accuracy of cigarette oil pollution identification, and timely finds the oil pollution positions, so that the process consumption is reduced, and the quality of the cigarette product is improved.

The utility model discloses an oil-absorption-resistant chemical fiber paper tube, which belongs to the technical field of chemical fiber paper tubes, and is characterized by comprising a chemical fiber paper tube main body, a support rod penetrates through the interior of the chemical fiber paper tube main body, two ends of the surface of the support rod are in threaded connection with inner cylinders, and support cylinders are arranged on the surfaces of the inner cylinders. According to the chemical fiber paper tube, the chemical fiber paper tube body is of a multi-layer composite structure, so that when the chemical fiber paper tube body faces an oil contamination environment, the chemical fiber paper tube body is not prone to absorbing oil contamination, and therefore the performance and the service life of the chemical fiber paper tube body cannot be affected; furthermore, the overall strength of the chemical fiber paper tube main body is remarkably enhanced, so that the chemical fiber paper tube main body has higher toughness when bearing pressure and is not easy to deform or crack, and the defect that the conventional chemical fiber paper tube is weak in pressure resistance is overcome.

The invention discloses an automobile active suspension high-pressure oil pump testing device and a using method thereof. The device comprises a pre-pressing tank, a testing unit and a circulating oil way. The pre-pressing tank is used for storing oil and providing stable pre-pressure; the testing unit is used for mounting and driving a high-pressure oil pump with first and second pump ports; the circulating oil path is connected between the pre-pressing tank and two pump ports of the high-pressure oil pump to form a closed circulating loop, and comprises a loading module and a one-way valve assembly; the one-way valve assembly can automatically guide the flowing direction of oil according to the rotating direction of the high-pressure oil pump, so that any pump opening serves as an oil inlet when rotating forwards and serves as an oil outlet when rotating backwards. According to the design, self-adaptive switching of an oil way is achieved in a pure hydraulic mode, forward and reverse rotation performance testing of the oil pump can be completed without disassembling a pipeline, the problems of pre-pressure fluctuation, oil pollution and low efficiency caused by system opening in a traditional method are effectively solved, and the testing reliability and efficiency are remarkably improved.

The invention relates to the technical field of aero-engine starter systems, and discloses an axial displacement control type overrun clutch which comprises a clutch body, a damper and an output shaft, the clutch body comprises a deep groove ball bearing, an input shaft, a diaphragm spring set, a spline shaft, a fixing pin, a conversion lining, a ball bearing, a driving gear, a lock washer and a locking nut; the damper comprises a retainer, a damping block and a spring, the output shaft is supported on the starter shell through a deep groove ball bearing, the input end of the output shaft is provided with end teeth, and when the driving gear stretches out and is meshed with the end teeth, the transmission function is achieved. The output end of the output shaft is of an internal spline structure and serves as a torque output connector. By means of the torque-displacement conversion characteristic of the left-hand thread pair, accurate meshing and physical isolation disengaging of the input shaft and the output shaft are achieved. A three-stage transmission control structure is adopted and comprises a torque-displacement conversion module, a damping control module and a spiral meshing module, and the technical defects that a traditional inclined strut type clutch is polluted in lubricating oil, low in torque transmission efficiency and the like are overcome.

The invention relates to the technical field of data processing, and discloses a self-adaptive pressure compensation method and system for an underwater propeller. The method comprises the following steps: establishing a quantitative relation between pressure difference and diaphragm deformation in a ground calibration stage, calculating a reference damping ratio, providing an accurate reference for judging oil degradation, collecting pressure difference deviation data in an operation cycle, and adaptively tracking oil viscosity time-varying drift through an iterative learning law; the defect that traditional fixed parameter control cannot adapt to working condition changes is overcome, active prediction adjustment is achieved in combination with a fractional order control algorithm and a feedforward compensation mechanism, the transient pressure difference peak value is reduced, and the full-life-cycle high-precision compensation capacity is kept through continuous learning and reference updating. By integrating conductivity monitoring and a filter screen self-cleaning mechanism, the problems of an oil pollution detection blind area and an unreasonable maintenance period are solved, and the long-term stability and the intelligent level of a compensation system are improved.

The present invention discloses a super-hydrophilic high oleophobic coating, coating and preparation method thereof, material and application, the super-hydrophilic high oleophobic coating includes an ionic fluorocarbon surfactant, an organic nanosphere and water, the surface of the organic nanosphere is modified with a charged group, and the charge of at least one charged group is opposite to the charge of the ionic fluorocarbon surfactant. The above-mentioned super-hydrophilic high oleophobic coating is applied to the surface of the substrate, and after drying, a super-hydrophilic high oleophobic coating can be formed on the surface of the substrate. The raw material cost of the above-mentioned coating is low and environmentally friendly, and the method for preparing the coating is simple, easy to control, and suitable for industrial production; more importantly, the coating prepared by the above-mentioned coating has super-hydrophilic, high oleophobic performance, has good application prospects in oil-water separation, anti-oil pollution, etc., and the prepared coating has good flexibility, is more firmly combined with the substrate, and can effectively improve the stability and wear resistance of the coating.

The invention discloses an intelligent sea surface oil stain treatment device based on modified coconut fibers, and relates to the technical field of sea surface oil stain treatment. A driving device waterproof shell is arranged on a bottom plate, one side of the driving device waterproof shell is connected with an oil filtering roller through a first gear reverser, and the front portion of the oil filtering roller is in contact with an oil suction roller; one side of the oil absorption roller is connected with a driving device waterproof shell through a second gear reverser, and a modified coconut shell fiber felt is arranged on the oil absorption roller; a drain outlet is formed below the contact position of the oil absorption roller and the oil filtering roller, and an oil collecting box is arranged below the drain outlet; the device further comprises a main control device, and a main body of the main control device comprises a PCB (printed circuit board) carrying a CPU (central processing unit) main control chip, a power supply and an auxiliary control circuit. Compared with the prior art, the invention has the following advantages: the adsorption material has excellent performance; the treatment efficiency is high; the oil-water separation effect is good; the device adaptability is high.

The present application relates to the technical field of environmental monitoring of oil pollution area, and particularly relates to a multi-channel parallel acquisition interwell three-dimensional resistivity monitoring system and method for oil storage area. The power supply, the host, the multi-channel parallel acquisition device and the four-pole AM-BN acquisition device are sequentially connected. The multi-channel parallel acquisition device comprises a multi-channel electrode conversion box, a plurality of potential channel sockets are arranged in the multi-channel electrode conversion box, the number of the potential channel sockets is the same as the number of probes, twenty-four potential channels are arranged in each potential channel socket, a relay and a current channel switch are arranged in each channel, one end of the relay is connected with a corresponding electrode on the resistivity probe, and the other end of the relay is connected with an acquisition module. The system has high acquisition efficiency, can better realize real-time monitoring of leakage, has high monitoring precision, can accurately identify small leakage in the oil storage area, and realizes remote in-situ monitoring of oil pollution area leakage.

The invention belongs to the technical field of sewage treatment, particularly relates to a sewage discharge treatment device for nitrogen generation equipment, and provides the following scheme aiming at the problems of large pressure fluctuation, incomplete separation, difficulty in oil stain treatment, low automation, poor linkage and the like in the prior art: the sewage discharge treatment device comprises a treatment equipment body; the supporting frame is arranged in the treatment equipment body; the water inlet pressure stabilizing mechanism is arranged on the left side of the treatment equipment body and is used for balancing pressure fluctuation of sewage discharged by the nitrogen making equipment; through collaborative innovation design of multiple devices such as water inlet pressure stabilization, multi-stage separation, ultrasonic demulsification, linkage cleaning and fine filtration, the core problems of incomplete separation, difficulty in oil stain treatment, low automation and the like of a sewage disposal device of existing nitrogen making equipment are effectively solved, high efficiency, automation and standard reaching of sewage treatment are realized, and the sewage disposal efficiency is improved. A reliable pollution discharge treatment scheme is provided for environment-friendly operation of nitrogen making equipment, and remarkable environment-friendly benefits and practical value are achieved.

The invention relates to a biprism spectrograph for water body detection, relates to the technical field of spectrograph design and analysis, and solves the technical problems of insufficient real-time performance, poor long-term stability, limited index coverage and insufficient anti-interference capability of a spectral analysis technology in the prior art. The biprism spectrometer comprises a light source, a slit, a spherical reflector, a biprism assembly, a turn-back mirror, an imaging mirror, a linear array detector and a data acquisition, processing and control device which are sequentially arranged in the light path direction, the light source is connected with the slit through an optical fiber. The biprism spectrometer for water body detection is suitable for scenes such as lake and reservoir algae bloom early warning, estuary and industrial / municipal discharge port supervision, disinfection tank by-product and residual chlorine fingerprint tracking, drinking water plant online protection and the like, and can be expanded to tasks such as oil stain identification, dissolved organic matter characterization and on-site rapid fingerprint comparison.

The invention provides a circuit breaker split-phase pressing signal abnormity detection method. Three-phase original pressing signals of the circuit breaker are respectively acquired through the three-phase signal acquisition channel, and the filtering intensity is dynamically adjusted according to environmental noise through adaptive noise reduction filtering processing, so that the reliability of signal acquisition is improved. The frequency of split-phase pressing actions is counted based on a monitoring time window, dynamic alarm parameters including an alarm time window and a dynamic alarm threshold value are combined, an alarm signal is determined, the dynamic alarm threshold value is adaptively generated through historical pressing parameters and environmental parameters and adapts to different working condition changes, the problems of false alarm and missing alarm of a fixed threshold value are avoided, and the alarm efficiency is improved. And the alarm accuracy and timeliness are improved. According to the method, frequency characteristic parameters are extracted according to the number of times of split-phase pressing actions, fault types such as valve leakage, oil pollution or mechanical wear are automatically identified by analyzing the stability and trend change of frequency characteristics, and accurate support is provided for operation and maintenance decision, so that the fault positioning efficiency and the equipment operation and maintenance intelligent level are comprehensively improved.