23results about How to "Understand in time" patented technology

The invention belongs to the technical field of biological detection, and particularly relates to an auxiliary device for bovine tuberculosis kit detection and a use method of the auxiliary device. The problems that existing bovine tuberculosis detection equipment is large in size, inconvenient to carry to the site, complex in operation, low in detection efficiency and high in detection cost are solved. According to the scheme, a plurality of vibration assemblies are arranged on a box body, the vibration assemblies are connected with a supporting assembly, the vibration assemblies are used for driving the supporting assembly to move up and down, a storage box is placed on the supporting assembly, a pore plate is arranged on the storage box, and a sample tube is placed on the pore plate; the auxiliary device for bovine tuberculosis kit detection has the advantages of being small in size, light in weight, easy and convenient to operate, convenient to carry, low in cost and the like so as to meet the requirement for on-site rapid detection, especially in areas with limited resources, the timeliness and accuracy of bovine tuberculosis diagnosis are improved, prevention and control measures can be taken in time, and the detection efficiency is improved. Disease transmission risks are reduced, and healthy development of animal husbandry is guaranteed.

The invention discloses a perovskite photovoltaic module defect detection method and device and a storage medium, and belongs to the field of perovskite photovoltaics. The method comprises the following steps: irradiating the back surface of a to-be-detected perovskite photovoltaic module, performing first image acquisition on a perovskite layer in the to-be-detected perovskite photovoltaic module to obtain a first image, and determining defect position information and film thickness information in the first image based on the first image; performing second image acquisition on the position of the defect based on the position information of the defect to obtain a second image; based on the second image, judging the types of the defects, and counting the types of the defects to obtain the number of each type of defects; and judging whether the to-be-detected perovskite photovoltaic module is qualified or not based on the number of various types of defects or the film thickness information of the first image. According to the invention, the defects of the to-be-detected perovskite photovoltaic module can be rapidly detected, analyzed, judged and early warned, so that the yield of products can be improved.

The invention relates to a circuit board backdrill capacitance testing method, device and equipment and a storage medium, and the method comprises the steps: obtaining a capacitance detection instruction, and obtaining the image information of a to-be-detected circuit board according to the capacitance detection instruction; carrying out clustering analysis on the image information of the to-be-detected circuit board by adopting a k-means algorithm to obtain a feature image of the to-be-detected circuit board, and carrying out analysis according to the feature image to obtain a displacement distance and an angle of the probe; adjusting the position of the probe according to the displacement distance and the angle of the probe, and generating a capacitance measurement message after the adjustment of the probe is completed; according to the capacitance measurement message, calculating a capacitance value of the circuit board to be detected through a capacitance method, and comparing the capacitance value of the circuit board to be detected with a preset capacitance value to obtain a capacitance comparison result; and generating a quality evaluation result of the back drilling hole of the circuit board according to the capacitance comparison result, and transmitting the quality evaluation result of the back drilling hole of the circuit board to the user side. The method has the effect of improving the precision and efficiency of back drilling hole quality detection.

The utility model is suitable for the field of beauty instruments, and provides a storage box and a beauty instrument assembly. According to the storage box provided by the utility model, the box body vertically placed on the carrying table is arranged, the storage position for storing the beauty instrument is arranged in the box body, the display control screen is arranged on the box body, and the display control screen is configured to be vertically arranged when the box body is vertically placed on the carrying table so as to be arranged towards a user. According to the storage box provided by the embodiment of the utility model, the display control screen is configured to be vertically arranged and arranged towards the user, so that when the user uses the beauty instrument, the user can conveniently observe the content displayed on the display control screen, the user can timely know the current function mode, state and other information of the beauty instrument and the storage box, and the user experience is improved. And the user experience is improved.

The invention discloses a real-time intelligent disaster early warning method based on multi-modal data, and belongs to the technical field of disaster early warning, and the method comprises the steps: 1, constructing a multi-modal data platform; 2, obtaining a first training model by using a graph neural network technology, and obtaining a second training model in combination with a federated learning technology; 3, integrating the first training model and the second training model to obtain a disaster propagation model; 4, deploying a response function on edge equipment close to the data source; and 5, continuously collecting data of actual disaster occurrence, comparing the data with a model prediction result, and carrying out early warning response. According to the invention, by integrating disaster data obtained by a plurality of data sources, more data sources can be obtained, the comprehensiveness and accuracy of early warning can be improved, and the generalization ability of the model can be significantly improved by constructing the disaster recognition model by using the graph neural network and federated learning, so that the system can cope with various complex and changeable disaster scenes.

The invention discloses a blast furnace incoming iron management data processing system and method. Comprising a data display module, a query module, an export module and a data operation module. The data display module is provided with a converter molten steel receiving display unit, a molten steel receiving team statistical display unit, a blast furnace incoming iron scrap display unit and a blast furnace incoming iron team statistical display unit; and the converter molten steel receiving and displaying unit is used for displaying detailed data received by the converter, wherein the detailed data comprises converter heat, blast furnace heat, time, ladle number, molten iron components and operation information. According to the invention, by integrating blast furnace incoming iron related data and intensively displaying various types of data on different pages, unified management of the data is realized. Meanwhile, convenient data entry, modification and deletion operation and efficient query and export functions are achieved, the time and labor cost of data management are greatly saved, and the data management efficiency is improved.

The application discloses a GIS partial discharge pattern recognition method based on polar coordinate distribution entropy optimization, and belongs to the field of large power grid on-site power equipment defect diagnosis and recognition. Firstly, aiming at the signal missing phenomenon of photoelectric partial discharge signals, a non-subsampled contourlet transform is used to fuse and process photoelectric PRPD graphs, so that photoelectric fusion graphs are obtained. Then, feature points and scale vectors of the fusion PRPD graphs are extracted based on a KAZE algorithm. Next, the feature points are dispersed to polar coordinate expressions according to coordinates and scale vectors. Distribution entropy of each region divided on the polar coordinates is calculated to form a feature vector. Finally, the feature vector is loaded into a long short-term memory network optimized by an Adaboost algorithm to verify the accuracy of partial discharge pattern recognition. Compared with a statistical parameter method and a KAZE feature extraction method, the algorithm can better extract a PRPD graph feature vector, and the accuracy of partial discharge defect pattern recognition is significantly improved.

The invention provides a software release processing method and device, electronic equipment and a storage medium, and can be applied to the technical field of software processing. The method comprises the following steps: acquiring a software code change task list and a task identifier, wherein the software code change task list is used for recording operation task information released by software; and mounting the software code change task list to a release list according to the task identifier, wherein the release list is used for displaying the operation state of the software release task. According to the method, after the task identifier and the software code change task list recording the operation task information released by the software are obtained, the software code change task list is mounted to the release list according to the task identifier, so that the release list can automatically record the operation state of the software release task; therefore, the software publishing staff can know the publishing process in time through the publishing list, and the sorting workload of the published information is effectively reduced.

The lithium battery pole piece baking oven (1) is characterized in that the lithium battery pole piece baking oven (1) comprises an oven body (2), an oven door (5), a heating device (6) and a circulating device (7), the oven body (2) is composed of an outer oven body (3) and an inner oven body (4), the oven door (5) is arranged on the front side of the oven body (2), and the heating device (6) is arranged on the inner side of the oven body (2). The heating device (6) and the circulating device (7) are arranged on the rear side of the outer box body (3), a pole piece inlet (8) is formed in the upper surface of the outer box body (3), a pole piece outlet is formed in the lower surface of the outer box body (3), and plate components (9) are arranged on the two sides of the pole piece inlet and / or the pole piece outlet respectively. The plate component (9) is fixed on the upper surface and / or the lower surface of the outer box body (3) through a long round hole (10) in a manner of adjusting the size of the pole piece inlet and / or the pole piece outlet.

The invention relates to the technical field of nano silicon preparation, in particular to a nano silicon particle preparation device which comprises a muffle furnace used for heating reaction raw materials including magnesium powder and silicon dioxide powder; the stainless steel container is located in the muffle furnace, and the stainless steel container is used for containing reaction raw materials; one end of the thermocouple is connected to the interior of the stainless steel container through a wire, and the other end of the thermocouple is connected to the data collector; and the display is connected with the data acquisition unit. According to the preparation device of the nano silicon particles, the real-time reaction temperature of the reaction raw materials in the stainless steel container is fed back through the thermocouple, and the real-time reaction temperature is displayed on the display after being processed by the data collector, so that a worker can know and monitor the real-time reaction temperature in time, and the preparation success rate of the nano silicon particles is improved.

The utility model relates to the technical field of cabin door locks, and discloses a cabin door locking structure which comprises a main body mechanism and an auxiliary mechanism, the auxiliary mechanism is located at the rear end of the main body mechanism, the main body mechanism comprises a cabin plate, a cabin door frame and a cabin door plate, and the cabin door frame is fixedly installed at the rear end of the cabin plate. According to the cabin door locking structure, by installing the main body mechanism, when a lawless person enters, a sailor can open a cabin door to hide in a cabin, then the cabin door is closed, a bolt is inserted into a fixing block, a locking hook is hung in a hole in a limiting block, limiting is conducted through an anti-theft lock chain, the lawless person is prevented from prizing the cabin door, and the safety of the sailor is improved. And finally, the handle is rotated, so that the rotating block drives the limiting rod to rotate, the limiting rod is used for blocking the cabin door plate for fixing, and the situation that lawbreakers intrude into the cabin is avoided. According to the locking structure, by improving the main body mechanism, the anti-theft performance is greatly improved, safety is improved, and life and property losses in the cabin are avoided; and the practicability of the cabin door locking structure is improved.

This invention discloses an automatic product loading device, belonging to the technical field of loading devices. Its key features include: a six-axis industrial robot, a blank material bin, multiple machining centers equipped with dual-station fixtures, a discharge conveyor belt, and a safety fence; it also includes a reversing mechanism and a robot control integrated system, with the reversing mechanism corresponding to each machining center; the robot control integrated system includes a PLC controller capable of communicating with each machining center, the six-axis industrial robot connected to the PLC controller, responding to the machining center's call signals, and performing operations such as material picking, loading and unloading at the first station, sending workpieces to the reversing mechanism for reversal, loading at the second station, and sending finished products to the discharge conveyor belt; this invention can achieve fully automatic loading and unloading, reduce labor costs, and improve production stability and quality consistency.

The invention discloses a secondary lining trolley end formwork and a tunnel secondary lining trolley end formwork. The end formwork comprises a supporting formwork, a lifting end formwork arranged on the supporting formwork, an elastic cushion block arranged above the lifting end formwork and a first water stop belt arranged above the elastic cushion block. During construction, the lifting end formwork is adjusted to be jacked so that the elastic cushion block can abut against the first water stop upwards, and then the first water stop can be tightly attached to the tunnel primary support; the end formwork further comprises a first concrete monitoring formwork arranged between the elastic cushion block and the lifting end formwork, and the first concrete monitoring formwork is used for automatically monitoring the pouring condition of concrete during construction. According to the secondary lining trolley end formwork, the concrete monitoring formwork is integrated, the concrete pouring condition can be accurately monitored in real time, constructors can conveniently check and know the concrete pouring condition in time, manual errors are reduced, the construction precision is improved, manual operation is reduced, and the construction efficiency is improved.

The utility model discloses an explosion-proof box for battery test protection, which comprises a battery test explosion-proof box body and a front turnover door, and a transparent toughened glass window is arranged in the door. An exhaust fan body is arranged on the side face of the box body, a fan assembly in the exhaust fan body is connected with a plug-in filter box containing a side face intercepting filter screen and middle activated carbon, gas in the box can be exhausted after being extracted and filtered after testing is completed, influences of peculiar smell and smoke dust on the environment and personnel are reduced, and the working progress is accelerated. A cleaning cotton wiper is arranged on the inner side face of the glass window and controlled through a movable strip block, a longitudinal connecting guide column, a transverse connecting guide column and a connecting metal wire rope, and smoke dust can be wiped to facilitate observation. The box body is provided with an operating console, a state display lamp, a bottom universal wheel body, a side-mounted sealing plate, a breathable screen frame and the like. The explosion-proof box has various functions, is convenient to operate, can effectively guarantee the safety of battery testing, improves the working efficiency and observation convenience, and has good practicability and popularization value.

The utility model relates to the technical field of water pump sound data acquisition, and discloses a water pump sound vibration condition data acquisition device which comprises a frame body, an opening is formed in the top end of the frame body, a pump body is arranged in the frame body, and a reminding mechanism and an analysis acquisition mechanism are arranged below the pump body respectively. Through the arrangement of the analysis and acquisition mechanism, when the pump body vibrates during operation, the larger the vibration amplitude is, the larger the sound is, the vibration sensor detects the vibration amplitude and frequency and transmits a detection value to the analysis and acquisition module for analysis and acquisition, and then the detection value is displayed through the display module for a worker to check; and by arranging the reminding mechanism, when the vibration force (large sound) generated during operation of the pump body is large, the worker can be reminded in time to deal with the vibration, damage to elements in the pump body caused by large vibration is avoided, and the service life of the pump body is prolonged.

The utility model discloses a slurry washing effect detection device and a washing system. The slurry washing effect detection device comprises a detection assembly which comprises a detection barrel and a light detection element, and the light detection element is connected with the side wall of the detection barrel; the wastewater supply assembly comprises a first pipeline and a first valve, the first valve is arranged on the first pipeline, and the outlet end of the first pipeline is connected with the detection barrel; the wastewater discharge assembly comprises a second pipeline and a second valve, the second valve is arranged on the second pipeline, and the inlet end of the second pipeline is connected with the detection barrel; the reagent supply assembly comprises a reagent barrel, a third pipeline and a third valve, the third valve is arranged on the third pipeline, the inlet end of the third pipeline is connected with the reagent barrel, and the outlet end of the third pipeline is connected with the detection barrel. The washing system comprises a washing and filtering assembly and a slurry washing effect detection device. The device can be used for directly detecting the waste water flowing out after the slurry is washed and filtered, so that the detection procedure of the slurry washing effect is simplified.

The embodiment of the invention relates to the technical field of quality management software, and discloses an FMEA method and device based on product family management and electronic equipment, and the method comprises the steps: creating a family failure mode and influence analysis FMEA, and obtaining an analysis item of a first product of the FMEA; editing a structure tree of the first product, and obtaining and issuing an FMEA report of the first product; under the condition that an analysis item of a second product is added under the FMEA of the same family, the deleted content of the first product is synchronized on a structure tree of the second product, and an FMEA report of the second product is acquired and published; and under the condition that the analysis item of the third product is added under the FMEA of the same family, synchronizing the deleted content of the first product and the difference content of the second product on the structure tree of the third product, and obtaining and issuing an FMEA report of the third product. The technical problem that in the prior art, when the version of the content of a certain product is changed, other products cannot automatically change the content is solved.

The utility model relates to the field of loader-digger vehicle steering control, and discloses a loader-digger four-wheel steering control circuit which comprises a frequently-used electric power source which is electrically connected with a first normally-open relay, a second normally-open relay, a third normally-open relay, a normally-closed relay and a fourth normally-open relay. The first normally-open relay is electrically connected with a first inductive switch and a first display instrument, the second normally-open relay is electrically connected with a second inductive switch and a second display instrument, a steering change-over switch is arranged on a circuit between the third normally-open relay and a frequently-used power supply, and the third normally-open relay is electrically connected with a four-wheel mode electromagnetic valve. The fourth normally-open relay is electrically connected with a four-wheel mode prompting lamp, and the normally-closed relay is electrically connected with a two-wheel mode prompting lamp. By improving the steering control circuit, the four-wheel steering function is achieved, the turning radius is reduced, the working efficiency is improved, operation is easy, and steering mode prompt is provided.

The present invention discloses a fault repair guidance method, device and system, and storage medium. The method comprises: monitoring the working parameters of a target electrical appliance in real time, and judging whether the working parameters are within a preset working parameter threshold range; if so, inputting the working parameters into a fault category judgment model, and determining the fault category of the target electrical appliance, so as to determine whether the fault of the target electrical appliance is a self-repairable fault or a non-self-repairable fault according to the fault category of the target electrical appliance; when the fault of the target electrical appliance is a self-repairable fault, providing a maintenance operation guide corresponding to the fault; when the fault of the target electrical appliance is a non-self-repairable fault, providing maintenance personnel information corresponding to the fault, thereby realizing judging whether the electrical appliance fault is a user-repairable fault based on the electrical appliance fault data analysis, guiding the user to manually repair or report the fault, and being able to repair the fault more timely and accurately.

The utility model discloses a load monitoring device for a wellhead stabilizer of an under-pressure operation machine, and relates to the field of oil and gas exploitation equipment. The load monitoring device for the wellhead stabilizer of the under-pressure operation machine comprises a main machine, a height fine adjustment structure and a base, the base supports the height fine adjustment structure, the height fine adjustment structure comprises a height-adjustable supporting seat, and the supporting seat supports the main machine; the system further comprises a load monitoring structure. The load monitoring structure comprises a load sensing device and a load displayer, the load sensing device is arranged between the base and the height fine adjustment structure, the load displayer is installed on the height fine adjustment structure, the load displayer is connected with the load sensing device through a first line, and the load displayer is used for displaying the measured value of the load sensing device. According to the utility model, the stresses of different positions of the wellhead stabilizer are monitored and displayed in real time, so that a worker can know and adjust the stresses in time, and further inclination and instability of a wellhead device possibly caused by untimely understanding and processing are avoided.

The invention belongs to the technical field of intelligent household appliances, and particularly relates to a clothes airing machine control method, device and equipment and a computer storage medium. According to the method, whether clothes are suitable for being aired or not can be prompted to a user according to the environment information of the area where the current clothes airing machine is located, and when the clothes are not suitable for being aired, a corresponding voice module is broadcasted to the user. According to the method, the user can know the environment information in time, inconvenience and loss caused by airing in an unsuitable environment are avoided, the airing experience of the user is improved, and the overall use experience of the user on the clothes airing machine is comprehensively improved.

The utility model discloses an intelligent neck and waist massage device which comprises a stand column, a neck massage assembly is arranged on one of two opposite side faces of the stand column, and a waist massage assembly is arranged on the other side face of the stand column. The neck massage assembly comprises a first mounting seat, a first rotary drum, a first handle, an up-down rolling type neck massage roller and a first seat; the waist massage assembly comprises a second mounting seat, a second rotating drum, a second handle, an up-down rolling type waist massage roller and a second seat, and a first sensor and a first counter connected with the first sensor are arranged in the first rotating drum; a second sensor and a second counter connected with the second sensor are arranged in the second rotary drum; first electric heating sheets are respectively arranged in the first handle and the first seat; and second electric heating sheets are respectively arranged in the second handle and the second seat. According to the utility model, not only can a user know the current amount of exercise, but also the handles and the seat can be heated.

The invention relates to the technical field of ecological monitoring, in particular to a mine renovation ecological restoration monitoring method based on multi-source data, which comprises the following steps: acquiring mine environment information, restoring polluted soil by using chemical agents, carrying out vegetation planting in a mine restoration area, and realizing ecological restoration through plant restoration. A standard planting area is established as a reference, vegetation growth information is obtained through aerial photography of an unmanned aerial vehicle, vegetation growth expected information is obtained according to the vegetation growth information of the mine restoration area and the standard planting area, and the area with poor vegetation growth in the mine restoration area is determined according to the expected information. According to the method, the standard planting area is established, vegetation growth of the standard planting area serves as a reference, vegetation growth expected information in the mine restoration area is obtained, sampling sites of soil, air and the like are determined again according to the expected information, the restoration situation can be known in time, and the restoration mode can be adjusted in time according to monitoring data.