123results about How to "Reduce manual inspection costs" patented technology

The invention relates to a high-precision deformation monitoring method of a wide-area electric iron tower based on a Beidou system. The high-precision deformation monitoring method comprises the following steps: judging whether real-time dynamic centimeter-grade monitoring requirements are met or not according to monitoring precision of a Beidou foundation CORS network; if so, obtaining iron tower monitoring data through a network RTK virtual reference station method; otherwise, obtaining the iron tower monitoring data through a double-monitoring-point base line attitude measurement method; processing and analyzing the monitoring data, and calculating an inclined angle and a sedimentation value of the iron tower; if the inclined angle and the sedimentation value of the iron tower exceed limit requirements of operating regulations of a power transmission line, determining a tower position coordinate and issuing a field inspection and maintenance instruction; if the inclined angle and the sedimentation value of the iron tower do not exceed the requirements of the operating regulations of the power transmission line, judging an inclining trend of the iron tower. The monitoring method provided by the invention can be used for carrying out all-weather, all-time and automatic monitoring on the wide-area electric iron tower; potential safety hazards are found and warned in time, and the manual inspection cost is effectively reduced.

The invention provides a cable insulation state online automatic monitoring and diagnosis system. A real-time data acquisition module acquires discharge data of a cable; a data automatic analysis and processing module processes and analyzes the data and calculates earth leakage capacitive reactance and impedance of the cable, expresses change of the cable insulation state through the change trend of earth leakage capacitive reactance and impedance, sets an early warning threshold with an average value obtained through long term of measurement and calculation acting as a reference value and compares a real-time measurement result with the reference value to obtain relative deviation which is compared with the early warning threshold; a change curve drawing module draws a real-time cable insulation change curve so as to obtain a cable insulation change trend curve and draw an impedance change curve; a cable insulation fault early warning module performs early warning; and a database module is used for storing the acquired data and the results of the aforementioned modules. Monitoring and fault diagnosis can be automatically performed so that the aspect of accuracy of cable insulation monitoring and fault line selection can be powerfully and reliably guaranteed.

The invention discloses an AOI character defect detection method based on industrial machine vision. The AOI character defect detection method comprises the steps that a to-be-detected image is acquired; the to-be-detected image is preprocessed to obtain a character-containing region-of-interest image of which the position is corrected; the region-of-interest image of the to-be-detected image is separated to obtain a character region image; template matching is carried out on the character region image of the to-be-detected image and a pre-created reference image template to obtain a templatematching result; whether the to-be-detected image has character defects or not is judged according to the template matching result; and a character defect judgment result is outputted. According to the method, the defects of the ROI can be detected under the condition of a low-pixel grey-scale map through template matching, the detection efficiency and the accuracy are improved, and the detectionlabor cost is reduced.

The invention provides an on-line detection method of wheel steel billet angular deviation and a detection system thereof. The detection system comprises a control cabinet module, a gas liquid electromagnetic directional valve, an automatic spray gun, a frame, a laser ranging sensor module, an air-operated electromagnetic directional valve, a paint pressure blender and a four-way connection, as well as a pipeline, a signal communication module, a drive control module, a data acquisition and process module and an alarm module. Through measuring the distance from three parallel laser ranging sensors to the end face of a steel billet and carrying out conversion, whether the end face and the axis of the wheel column steel billet are vertical or not can be calculated through on-line detection; an acousto-optic alarm can be carried out on the steel billet with an angular deviation exceeding the admissible value, then a mark is sprayed automatically, and a V-shaped bearing surface of the steel billet can be subjected to on-line wear compensation; whether the V-shaped piece needs to be ground or to be replaced can be judged, and the number and passing rate of the steel billet to be detected as well as the angle deviation of each steel billet can be automatically recorded and displayed, thus effectively reducing the happening of material and labor wastes.

The invention discloses a method and a device for checking cable connection between a main board and a backboard. The method comprises the steps that a baseboard management controller of a main boardissues a cable connection configuration file to a complex logic programmable device of a backboard through an internal integrated circuit bus and stores the cable connection configuration file in a user flash memory of the complex logic programmable device; the complex logic programmable device of the backboard reads the cable connection configuration file from the user flash memory when the complex logic programmable device is powered on so as to obtain a configuration connection mode, and accesses a nonvolatile memory to expand the hard disk so as to obtain an actual connection state; and the complex logic programmable device of the backboard compares the configuration connection mode with the actual connection state to generate a cable connection verification result, and feeds back thecable connection verification result to the baseboard management controller for display and output. According to the invention, cable connection errors can be quickly found and processed, the manual inspection cost is reduced, and the maintenance efficiency is improved.

The invention discloses an application program installation package safety detection method and a server. The application program installation package safety detection method comprises the steps of resolving application program installation packages to be detected, obtaining feature information of the installation packages, classifying the installation packages according to the obtained feature information, respectively screening out the corresponding installation packages serving as selected samples from the installation packages different in category after classification according to a preset rule, detecting the selected samples and recording detection results, using the detection results of the selected samples as detection results of all application program installation packages in the categories of the selected samples. The application program installation package safety detection method has the advantage of systematically and automatically detecting the safety of the application program installation packages, the detection efficiency of the application program installation packages is improved, and manual detection cost is saved.

The invention provides an inferior-quality product detection and elimination system of a capsule filter rod forming machine and a use method thereof. The system comprises a detection device and an elimination device. The detection device comprises an image acquisition device arranged between a bar breaking device and a leading-in cutting device. The image acquisition device is right above a conveying device. The image acquisition device is connected with a controller and an image processor. The image processor is connected with the controller. The elimination device comprises a cigarette dividing wheel body. The circumferential direction of the cigarette dividing wheel body is uniformly provided with a plurality of separating bars used to connect with capsule filter rods. The cigarette dividing wheel body is also provided with an elimination electromagnetic valve connected with the controller. The elimination electromagnetic valve is connected with a blowing pipe. An air outlet end of the blowing pipe faces the outer part of the cigarette dividing wheel body. The system can detect positions of capsules in capsule filter rods in a production process of the capsule filter rods, to detect inferior-quality products and eliminate the inferior-quality products. The system solves problems of capsule missing and longitudinal bias over-standard.

The invention discloses an inspection analysis system and method based on an unmanned aerial vehicle, and the system comprises a first collection unit which obtains point cloud data, and plans the inspection route data of the unmanned aerial vehicle according to the point cloud data; the first processing unit is used for converting the inspection route data into an executable waypoint file and loading the executable waypoint file into the unmanned aerial vehicle to execute a flight task, so that the unmanned aerial vehicle autonomously inspects a target route and acquires image data; the image processing unit is used for preprocessing the image data; the image analysis unit is used for sending the preprocessed images into a pre-stored defect sample database for classification; sending a classified result into a pre-constructed algorithm model library for intelligent judgment; the report output unit is used for summarizing the obtained judgment results to obtain an inspection analysis report; the method has the advantages that the problem that only a small number of defects can be detected due to the adaptability of a single algorithm is solved, and the inspection quality and the inspection efficiency are improved while the engineering application detection accuracy is improved.

The invention discloses an automatic inspection method based on simulated user behaviors. The automatic inspection method specifically comprises the following steps: analyzing the page information of a user system; automatically inspecting scripts by a programming system; generating an inspection client program package; starting a client program and posting back data on time; and automatically generating an inspection report. According to the automatic inspection method, the behavior of visiting the system in a browser by a user can be simulated, automatic visiting inspection can be performed on common functions of the system, meanwhile the screen a visited page is shot, and comprehensive analysis is carried out after the data is combined so as to form a daily inspection report and fault comprehensive analysis of the system, so that comprehensive monitoring for an operation system is further promoted, associated support is provided for system optimization, and the manual inspection cost is greatly reduced.

The invention relates to a retaining wall crack identification method based on a CNN and an SVM. An unmanned aerial vehicle equipped with a monocular camera is adopted to collect and establish a retaining wall crack identification database; image data preprocessing and data enhancement are carried out; a retaining wall crack recognition algorithm model is established based on the CNN and the SVM;the algorithm model is trained to obtain an optimal retaining wall crack recognition algorithm training model; the unmanned aerial vehicle collects retaining wall pictures in real time and uploads theretaining wall pictures to the upper computer through a cloud network; and the upper computer carries out preprocessing and carries out crack identification on the picture of the retaining wall by using a pre-trained model. Based on the images collected by the unmanned aerial vehicle, the cracks of the retaining wall can be accurately recognized through the intelligent algorithm, the retaining wall can be repaired easily, the manual inspection cost is reduced, and the efficiency is improved.

A production process management and control method comprises the following steps: acquiring production process information of a preset product in a historical production stage; extracting process information conforming to a preset rule from the production process information, and training based on the process information to obtain a matching model of the first parameter associated with the secondparameter and a process capability prediction model; inputting the first parameter value configured in the current production stage into a matching model to obtain a second parameter value optimally matched with the first parameter value; inputting the first parameter value and the optimally matched second parameter value into a process capability prediction model to obtain a process capability index; judging whether the process capability index reaches a preset standard or not; and if so, adjusting the process of the current production stage according to the first parameter value and the optimally matched second parameter value. The invention further provides a production process management and control device and a computer readable storage medium. According to the production process management and control device and method and the computer readable storage medium, intelligent process management and control can be realized, and the production defect and the manual detection cost are reduced.

The invention discloses a lock catch loss fault detection method, system and device, and belongs to the technical field of train lock catch loss fault detection. According to the invention, the problems of low detection accuracy and low detection efficiency when the lock catch loss fault is detected in a manual image checking mode are solved. The method is specifically realized through the following steps: collecting a complete image of the side part of a train, and intercepting a to-be-identified lock catch part image from the collected complete image of the side part of the train; carrying out feature extraction on the intercepted to-be-identified lock catch part image; inputting the extracted features into the trained improved deep residual shrinkage network, and outputting position information and category information of the lock catch component through the trained improved deep residual shrinkage network. The method can be applied to train lock catch loss fault detection.

The invention relates to the technical field of manufacturing of air compressors, in particular to an air tightness detecting device of an air compressor crankcase. The device comprises a base, a water tank, a vertical lifter and a crankcase sealing component, wherein the water tank is put on the base; the vertical lifter is mounted on the water tank through a support frame, and comprises a lifting table, a vertical guide column and a lifting driver; the crankcase sealing component is mounted on the lifting table, and comprises a vertical end cover set relatively moving in the vertical direction and a horizontal end cover set relatively moving in the horizontal direction; and an air inlet hole and an air inlet pipe joint are arranged on the horizontal end cover set. The device satisfies the air tightness detection of crankcases with different specifications through the vertical end cover set and the horizontal end cover set, has the characteristics of simple operation and quick detecting speed, largely reduces the manual detecting cost, and solves the wrong detecting condition in manual detection.

The invention discloses a goods recall warning system based on electronic traceability data. An enterprise reports production, purchase and sales records, and an enterprise inventory record and a goods supply chain are formed. When the enterprise finds potential safety risks exist in a certain batch of goods, goods recall is initiated, the system can precisely display the sales and the inventory of the batch of goods in the supply chain, and a recall progress is controlled; when a consumer buys a goods, through traceability query, the system retrieves whether the goods is in a recall state, the consumer is warned that the goods is recalled, and cautious buying is warned; a circulation enterprise can receive a notice in real time, the recalled goods is locked, the sales and the inventory of the goods of the enterprise can be displayed through the system, and manual investigation cost is reduced; and as for a consumer who already buys the goods, if the buying is registered in the system, the system automatically sends a warning notice, and the consumer is reminded to return the goods. Accurate display of the storage condition and the sales condition of the enterprise in the supply chain is supported, the recall process is processed, and the recall process is controlled.

The invention discloses an intelligent lighting control system which comprises a central lighting master control terminal, and a steam engine room lamp control system, a stair lamp control system, a power distribution room lamp control system, a conference room lamp control system and a centralized control room lamp control system which are connected with the central lighting master control terminal. The central lighting master control terminal is connected with the steam engine room lamp control system, the stair lamp control system, the power distribution room lamp control system, the conference room lamp control system and the centralized control room lamp control system through communication equipment. Subsystem power-on and power-off control instructions are sent to the lamp systems through the radio communication system, and meanwhile the lamp systems return subsystem parameters to the central lighting master control terminal through the radio communication system; the intelligent lighting control system adopts an intelligent LED lamp control system, so that the manual inspection cost can be reduced, and the management quality and the working efficiency are improved; the service life of the lamp is prolonged and secondary investment cost is saved.

The invention discloses a portable device for detecting the depth of an engraved character. The device comprises a mechanical casing body, a clamping mechanism, rollers, a display screen and a laser triangulation optical path unit. The laser triangulation optical path unit includes a linear laser, a reflecting mirror, a lens and an image sensor; a filter piece is arranged between the image sensorand the lens; and a glass window is arranged at the bottom of the mechanical casing body. In addition, the invention also discloses a method for detecting depth of an engraved character. A trigger signal is generated; 3D contour data of a character surface are sampled and character characteristic data represented by a character scanning contour line are calculated; and then a character detection result is finally displayed. Therefore, non-contact comprehensive detection of the depth or height of the coded character, the size of the character, and the distance between adjacent characters can berealized; the manual detection cost during the process of motor vehicle manufacturing and annual inspection can be lowered; the detection accuracy and detection efficiency can be improved; and the technical problems existing in the industry can be solved.

The invention relates to an intelligent monitoring system for a wind power blade assembly mold. The intelligent monitoring system comprises a sensor, a signal acquisition and transmission system and acontrol system; the sensor comprise a plurality of vacuum degree sensors, a temperature sensor and a plurality of laser displacement sensors, and the laser displacement sensors are used for detectingthe width of a mold closing joint and the axial and chordwise dislocation degree of the mold closing joint; the multiple vacuum degree sensors are respectively installed on vacuumizing pipelines at the rear edge of an upper mold and the rear edge of a lower mold; the temperature sensor comprises a plurality of thermal resistors pre-buried in the surfaces of the upper mold and the lower mold, andthe thermal resistors are uniformly distributed on the whole surfaces of the upper mold and the lower mold; and the upper mold and the lower mold are divided into a plurality of areas, each area is provided with a data acquisition module, each data acquisition module is used for acquiring sensor data of the area nearby and sending the sensor data to an upper computer of the control system, and theupper computer monitors and displays the sensor data in real time. Parameters of the molds are fed back comprehensively, centrally and online, and the production efficiency and the product quality are improved.

The invention discloses a power distribution room equipment fault analysis and pre-judgment method and device based on edge computing, and the method comprises the steps: collecting the state quantitydata of a power distribution room sensing terminal, carrying out the normalization processing, and forming a sample data set; constructing a deep learning model based on a deep convolutional network,inputting the sample data set for identification training, and stopping training until an output identification result is consistent with a training sample label; performing fusion analysis on the state quantity by using the trained deep learning model; identifying and positioning abnormal sounds of multiple partial discharge sources and equipment for the plurality of sensing terminals in combination with a collaborative edge strategy; and judging the fault state of the power distribution room equipment based on the fusion analysis result and the identification positioning result. According to the invention, the manual inspection cost is effectively reduced, and information and data are acquired in real time; in addition, based on integrated judgment of a fusion analysis result and an identification positioning result, the accuracy of equipment fault judgment is improved.

The invention discloses an on-road berth shielding detection method and a device, and the method comprises the steps: determining whether the state of a to-be-detected berth is idle according to an image photographed by a camera installed in a road, of the to-be-detected berth; wherein the berth to be detected is located in the shooting range of the camera; if it is determined that the state of the to-be-detected berth is idle, performing key point detection on the to-be-detected berth according to a neural network; and determining whether the to-be-detected berth is shielded according to thedetected key points. According to the method, the key points are arranged on the berth, and whether the berth to be detected is shielded can be judged by detecting the key points, so that charging errors caused by shielding of the berth are avoided, and the manual troubleshooting cost of inspectors can be reduced.

The invention provides a defect detection method and device, electronic equipment and a computer storage medium. The method comprises the following steps: obtaining a to-be-detected image of a high-speed rail overhead line system; segmenting an image of a first part of the high-speed rail overhead line system from the to-be-detected image; segmenting an image of a second part of the high-speed rail overhead line system from the image of the first part, wherein the second part is a sub-part of the first part; and performing defect classification on the first part and the second part based on the image of the first part and the image of the second part to obtain a defect classification result. According to the embodiment of the invention, defect detection is carried out on the high-speed rail overhead line system in a cascade mode, the omission ratio of defect detection of the high-speed rail overhead line system is reduced, and the detection accuracy is improved.

The present invention discloses a method for inspection of a logistics transportation route optimization result. The method comprises four portions consisting of transportation event data collection,simulation of a transportation event, regulation of a transportation route and evaluation of an optimization result. The method for inspection of the logistics transportation route optimization resultcan rapidly simulate actual transportation events in batch to greatly reduce a manual inspection cost; the method can predetermine the transportation events in advance and can give a regulated distribution route and sequence to greatly improve an on-time rate in the actual distribution and save the transport capacity cost; and moreover, the method can calculate a transportation event probabilityaccording to the hundreds of thousands of true truck tracks to effectively avoid errors which are probably generated in manual collection and recode to allow the simulation events and the reality to be high in similarity and guarantee the accuracy of the implementing degree of the optimization result.

The invention discloses a monorail train contact and non-contact online detection steel beam, and relates to the technical field of train detection, the steel beam comprises a base and a steel beam body fixed above the base, a plurality of horizontal wheel abrasion detection devices, horizontal wheel pressure detection devices, collector shoe pressure detection devices, collector shoe abrasion detection devices and at least one walking wheel abrasion detection device facing the upper side are arranged in the steel beam body, wherein the horizontal wheel abrasion detection devices, the horizontal wheel pressure detection devices and the collector shoe pressure detection devices face the front side and the rear side respectively. The horizontal wheel pressure detection device and the collector shoe pressure detection device penetrate out of the side faces of the corresponding sides of the front side and the rear side of the steel beam body. Square holes matched with the corresponding horizontal wheel abrasion detection devices, the corresponding collector shoe abrasion detection devices and the corresponding walking wheel abrasion detection devices in position are formed in the frontside face, the rear side face and the upper side face of the steel beam body. According to the steel beam, online real-time detection is realized, networked, visual, cooperative and integrated management is realized, the manual detection cost and error are reduced, and the detection efficiency is improved.

The invention discloses an optical appearance detection device. The device comprises a feeding device which comprises a supporting plate and a first driving device, a working surface is arranged on the supporting plate, a product can be placed on the working surface, and the first driving device can drive the supporting plate to move along a Z-axis direction; the device further comprises a positioning device which comprises a first camera, and the first camera can photograph and position the product on the supporting plate; the device further comprises a detection device, and the detection device comprises a second camera, a laser emitter and a first adjusting device; an included angle with a non-zero angle is formed between the lens optical axis of the second camera and the working surface; the projection of the laser emitted by the laser emitter on the working surface is a straight line; the second camera can shoot projection lines of laser emitted by the laser emitter on the product, and the first adjusting device can drive the second camera and the laser emitter to move in the X-axis direction together and drive the second camera and the laser emitter to move in the Y-axis direction together. According to the invention, detection of burrs, flashes and planeness of products is realized.

The invention provides a positioning assembly method for camera lens assembly equipment. The camera lens assembly equipment comprises a lens transportation structure, a lens base transportation structure and a beam type assembly structure which are arranged on a framework structure with a standard plane in parallel as well as a control module, wherein the lens base transportation structure provides an assembly platform for assembling the lens and the lens base; and the control module is separately electrically connected to the lens transportation structure, the lens base transportation structure and the beam type assembly structure. The method comprises the following steps: controlling the lens transportation structure for transporting a lens tray to a preset position through the control module for facilitating sucking of the beam type assembly structure, controlling the lens base transportation structure to take out the lens base tray and transport a lens base from a lens base stock bin, controlling the beam type assembly structure to suck the lens from the lens tray transmitted from the lens transportation structure and assemble the lens into the lens base received and fixed by the lens base transportation structure through the control module, and transmitting back the lens into the original lens base stock bin through the lens base transportation structure.

The invention provides a detection method, system and device for detecting abnormal behaviors of a user and a storage medium, and the method comprises the steps: converting a user behavior log into adiscrete symbol sequence; abstracting the user behavior log into a user behavior sub-graph according to the symbol sequence; and performing sub-graph mining on the user behavior sub-graph to obtain anabnormal behavior coefficient, and judging whether the user behavior log is abnormal or not according to the abnormal behavior coefficient. According to the detection method provided by the invention, consistency description is carried out on a large number of heterogeneous user behavior logs existing in an enterprise, fusion of heterogeneous information is achieved, and then a graph mining algorithm is utilized to detect abnormal behaviors of internal users. The complementarity among the user behavior logs can be effectively found and utilized, so that the behavior of the user is reflected from different sides, and the anomaly detection and identification are more accurate and effective. Meanwhile, the automatic detection method reduces the manual detection cost, and greatly improves thedetection efficiency.

A goaf fireproof monitoring system based on infrared thermal imaging comprises an infrared thermal imaging acquisition system, a 5G transmission system, an image storage and processing system, a remote monitoring system and an alarm system, wherein the signal output end of the infrared thermal imaging acquisition system is connected with the signal input end of the image storage and processing system through the 5G transmission system; the signal output end of the image storage and processing system is connected with the signal input end of the remote monitoring system through a communication cable; the signal output end of the image storage and processing system is connected with the signal input end of the alarm system. According to the disclosed system, high-precision real-time omnibearing monitoring of all goaf areas can be realized, monitoring differences caused by different proficiency degrees of employees are effectively avoided, missing detection conditions are effectively avoided, along with increase of the number of the goaf areas, the system can greatly reduce the cost of manual detection, the workload of detection personnel is greatly reduced, the detection efficiency is improved, and unified management of the goaf is facilitated.

The invention relates to an automobile battery integrated connecting plate automatic detection device, and relates to the technical field of automatic detection equipment, the automobile battery integrated connecting plate automatic detection device comprises a base, the upper end of the base is provided with a transmission device, the right end of the transmission device is provided with a first driving wheel, and the outer surface of the first driving wheel is provided with a first conveyor belt; a first rotating shaft is fixedly connected to the lower end of the first driving wheel, a first driven wheel is fixedly connected to the lower end of the first rotating shaft, and a second conveying belt is arranged on the outer surface of the first rotating shaft. The base and the transmission device are arranged in a combined manner, so that an integrated board of a battery can be conveniently placed on the second conveying belt, the integrated board can be conveniently detected, the manual detection cost is reduced, and meanwhile, the situation that the detection efficiency is influenced by eye fatigue easily caused by long-time manual eye detection is avoided; and through the combined arrangement of the baffles and the buckles, the distance between the baffles can be adjusted conveniently through the connection of the through holes and the buckles.

The invention discloses a method and device for detecting a character size. The method comprises the steps: acquiring 3D contour data of the surface of an engraved code character; calculating data ofa geometric surface on which the character is located from the contour data; extracting point cloud data of an engraved character with depth or height information; extracting a single character and carrying out statistics of the geometric size of each character; and outputting a result. Besides, the device includes a 3D contour measuring unit, a guide rail, a rail fixing unit base, a motor, a motor driving unit, a displacement sensor and a processing unit. According to the invention, with full-automatic detection of the depth or height of the engraved character, the character size and adjacentcharacter spacing, the manual testing costs of the motor vehicle VIN code, engine number and the like in the motor vehicle manufacturing and inspection fields can be reduced; the detection accuracy and detection efficiency can be improved; and thus the method and device for detecting a character size have the great significance in promoting the inspection automation in the industry.

The invention provides an automatic network wiring evaluation method and system. The method comprise that a network wire is connected to a network wire detection interface; an I / O expansion module inan I / O expansion chips detects an RJ45 interface, an ON / OFF state and line condition of straight or intersected wires of network wiring connection; network wiring is carried out , a laser generator ina network wiring system carries out output, and light decay data of network wiring is collected; when the light decay data of network wiring reaches or exceeds a light decay data threshold, a fiber of network wiring is marked unqualified, and a fiber detection result is recorded, and uploaded to a displayer for display; and an image of an RJ45 terminal connected interface is shot, and compared with a preset RJ45 terminal connected interface and connected terminal wire end contour image, the color code wire sequence of the connected terminal wire ends is compared with the preset color code sequence, and a discriminating result is recorded, and uploaded to the displayer for display. Thus, network wiring can be evaluated automatically, accurately and efficiently.

The invention relates to the technical fields of agriculture , forestry , animal husbandry and fishery and specifically relates to a fish pond oxygen content automatic control system. The system comprises a power supply, a wire, a dissolved oxygen detector, a processor, a controller, an oxygen-increasing machine and a data wire. The dissolved oxygen detector, the processor and the controller are connected in parallel and then are connected with the power supply through a wire. The dissolved oxygen detector is connected with the controller through the wire. The dissolved oxygen detector, the processor and the controller area connected through the data wire. According to the invention, the dissolved oxygen detector is utilized to detect the oxygen content in a fish pond in real time, and detected signals are transmitted to the processor through the data wire; when the protector carries out comparison and obtains a result that the detected oxygen content is within the preset oxygen content range, the processor sends a power-on or power-off instruction to the controller, and the oxygen-increasing machine starts to work or stops working; in addition, the fish pond oxygen content automatic control system is high in intelligent degree, the oxygen content in the fish pond is automatically controlled, the manual detection cost is lowered, manual detection is prevented from being not timely, and fishes are prevented from dying due to low fish pond oxygen content.