1700 results about "Grain storage" patented technology

The invention relates to the technical field of grain storage monitoring, in particular to a wharf granary grain condition monitoring method and system. The method comprises the following steps: acquiring data of wharf granary environment characteristics, grain pile size characteristics, temperature characteristics, humidity characteristics and gas concentration characteristics; based on the data, spatial-temporal characteristic models are constructed, and the spatial-temporal characteristic models comprise a temperature spatial-temporal characteristic model, a humidity spatial-temporal characteristic model and a gas concentration spatial-temporal characteristic model; according to the spatio-temporal characteristic model, spatio-temporal characteristic data are obtained; processing the spatio-temporal characteristic data to obtain optimized spatio-temporal characteristic data; constructing a grain safety risk assessment model through the optimized spatial-temporal characteristic data; and monitoring the grain condition of the wharf granary according to the grain safety risk assessment model. According to the invention, internal sensorless monitoring is carried out on the temperature, humidity and # imgabs0 # concentration of the infinite space point in the grain pile, so that the monitoring cost is greatly reduced, and high-precision assessment of the grain safety risk is realized.

The invention discloses a risk early warning method and device based on grain depot big data and a medium, and belongs to the technical field of grain storage management and data analysis. The method comprises the following steps: connecting a grainfield planting base database to obtain external data, and obtaining grain depot internal data; cleaning and sorting the external data and the internal data of the grain depot based on an association relationship to generate a monitoring data set; processing the monitoring data based on a preset risk prediction model library to generate an early warning report and sending the early warning report to related personnel; wherein the model database comprises a transportation monitoring model, a grain condition monitoring model, a grain price monitoring model and a facility operation monitoring model; and comparing a preset risk disposal process based on the early warning report to generate a risk decision. By means of the method, the effect of improving the efficiency and safety of grain storage management is achieved.

The invention discloses a low-energy-consumption nitrogen-charging grain storage system and method, and relates to the field of nitrogen-charging grain storage. The method comprises the steps that compressed air is sequentially introduced into a filter set, a drying machine and a micro-oil adsorber to be purified and dried; stripping oxygen O2 molecules and water H2O molecules in the air by using a carbon molecular sieve pressure swing adsorption tower to obtain nitrogen N2 molecular gas; inputting nitrogen N2 molecular gas into a cold drying system, and cooling to a preset temperature range; detecting whether the concentration of the output nitrogen N2 molecular gas meets a preset concentration range or not by using an oxygen analyzer; and when the detected N2 molecular gas concentration of the nitrogen is lower than the lower limit of the preset concentration range, starting a circulating pump to suck the mixed gas in the closed warehouse to the carbon molecular sieve pressure swing adsorption tower for adsorption and nitrogen production again until the N2 molecular gas concentration of the output nitrogen meets the preset concentration range. Aiming at the problem that the nitrogen concentration in nitrogen-filled grain storage is difficult to accurately control in the prior art, accurate control of the nitrogen concentration and yield is realized.

The invention relates to the field of grain storage management, and discloses an intelligent granary grain pile dew point early warning method and system, and the method comprises the steps: carrying out the continuous collection of the temperature and humidity, airflow velocity and pile density of each grain pile in a granary, and generating a humidity and heat perception graph reflecting the spatial layering characteristics; performing time sliding and spatial reconstruction analysis on the damp-heat perception graph, and constructing a damp-heat evolution mapping model; based on the damp and hot evolution mapping model, calling a multi-dimensional risk identification engine to perform aggregation judgment on the micro-region with the dew point close to a critical value, and outputting a potential condensation risk set; performing joint correction on the potential condensation risk set, real-time airflow distribution, grain pile accumulation form and ventilation response delay characteristics, and performing dynamic weight regression on different grain varieties and seasonal factors to generate dynamic stability indexes reflecting risk migration and diffusion trends; and adaptively adjusting the sensing sampling density and the early warning judgment threshold according to the dynamic stability index. The method has the advantage of improving the early warning precision of storage environment management.

The utility model relates to an unprocessed grain storage pulse dust collector for feed production, which comprises a dust collection shell, an air bag is fixed on one side of the dust collection shell; the anti-frosting assembly is arranged on one side of the air bag, the anti-frosting assembly comprises a temperature and humidity control part, and the temperature and humidity control part is used for controlling the temperature and humidity of air entering the air bag; the temperature and humidity control part comprises a hollow cooling tank and a heating tank, a spiral cooling pipe is fixed in the hollow cooling tank, and a semiconductor chilling plate and a water pump are arranged in the hollow cooling tank. High-temperature air is cooled through the hollow cooling tank and the spiral cooling pipe in the hollow cooling tank, low-temperature air is heated through the heating wire in the heating tank, and humidity in air is reduced while the temperature is regulated and controlled through the hollow cooling tank and the heating wire; deformation, damage and aging of the filter bag under high-temperature and low-temperature conditions can be avoided, and reduction of filtering efficiency due to caking of dust on the filter bag is prevented.

The invention discloses a spiral material elevator for grain storage, and relates to the technical field of conveying, the spiral material elevator comprises a base, a fixing frame is fixedly mounted at the top of the base, a connecting seat is rotatably mounted at the top of the fixing frame, and a conveying pipe is fixedly mounted at the top of the connecting seat; the conveying device is arranged at the top of the base, the conveying device comprises a motor, a screw rod, a moving frame, a fixed seat, a rotating plate, a supporting seat, a discharging pipe, a servo motor, a screw conveying device, a feeding frame, a reciprocating spiral groove, a moving plate and a baffle, the motor rotates to drive the moving frame to move, and the moving frame moves to drive the fixed seat to move; and the lifting height can be changed by controlling the vertical height of the conveying pipe, so that the lifting device is suitable for different heights, the working efficiency is improved, and the situation that grains are clamped between the feeding frame and the conveying pipe, and the conveying efficiency of the grains is affected is prevented.

The invention relates to the technical field of grain storage, in particular to a granary side wall temperature control system and method based on big data analysis, in the granary side wall temperature control system and method based on big data analysis, computing power, thermal power and environmental parameters are integrated in real time through a dynamic correlation modeling module, and a multi-dimensional data tensor of space-time alignment is constructed; a dynamic weight parameter set containing an environment interference factor, a real-time correlation matrix and a historical correlation mode is generated by combining sliding time window analysis, and the problem of heat dissipation response lag caused by data isolation in a traditional method is solved; the hierarchical decision-making module is based on a double-time scale framework, a load migration path and a priority weight are dynamically generated by a micro layer according to a real-time incidence matrix, calculation power immediate balance in a heat sensitive scene is achieved, a heat dissipation strategy is evolved and optimized by a macro layer through a superposition historical mode and a real-time trend, and an environment interference factor correction instruction is periodically fused, so that the calculation power immediate balance in the heat sensitive scene is achieved. Dynamic collaborative optimization of computing power and heat dissipation is achieved, local overheating is avoided, energy consumption is reduced, and the energy efficiency and operation stability of the data center are improved.

The invention relates to the technical field of temperature and humidity control, in particular to an intelligent temperature and humidity control method and system for a low-temperature fresh-keeping metal granary. The method comprises the following steps: firstly, acquiring various original data of the metal granary, predicting short-term environmental data in the granary in combination with a TFT model, and providing an accurate prediction basis for temperature and humidity control; secondly, multi-source data fusion is carried out on insect body monitoring images and audio frequency, image and audio frequency information is comprehensively analyzed, and the comprehensiveness and multi-dimensional analysis capability of insect pest monitoring are improved; finally, the accuracy and sensitivity of pest monitoring are improved through a multi-source data recognition model, a temperature and humidity control strategy is optimized in combination with a DQN reinforcement learning model, automatic and intelligent temperature and humidity adjustment is achieved, the environmental conditions in a granary are guaranteed, and the grain storage period is effectively prolonged.

The invention discloses a granary design method and device based on a three-dimensional model, equipment and a storage medium, and the design method comprises the steps: obtaining the original feature information of a target granary, carrying out the preprocessing of the original feature information, and obtaining the feature information after preprocessing; based on the preprocessed feature information, generating a three-dimensional model of the target granary by using a building information model technology; obtaining a target granary design model matched with the three-dimensional model from a pre-stored model database; performing a simulation test on the target granary design model to obtain a simulation test result at least including grain storage safety, full life cycle cost and extreme working condition adaptability; and judging the simulation test result according to a preset judgment standard. According to the method, multiple technologies are fused, granary design data are accurately collected, three-dimensional modeling, simulation evaluation and scheme optimization are realized through intelligent algorithm processing, the grain storage safety can be greatly improved, the cost is reduced, and the design efficiency and quality are improved.

The invention relates to the technical field of silo grain storage engineering, and particularly discloses a construction process of a conical silo top of a large-diameter squat silo, which comprises the following steps: step 1, lifting a steel truss to a height not lower than the mounting position of a bracket, and then fixedly mounting the bracket on an embedded threaded pipe on a silo wall; secondly, a supporting plate of the bracket is fixedly connected with a stress plate fixed to the radiation beam through a bolt; wherein a plurality of mounting holes are formed in the supporting plate of the bracket, a plurality of matching holes are formed in the stress plate, fixed connection is achieved by inserting bolts into the mounting holes and the matching holes, and the mounting holes and / or the lap joint holes are adjusting holes. And thirdly, formworks are installed on the steel trusses, steel bars are bundled, then the silo top is poured, and during pouring, according to the principle of first bottom and then top, the lower ring beam connected with the silo wall is poured firstly, then the conical shell is poured, and finally the center of the silo top is poured. The scheme is used for solving the problems that disassembly is time-consuming and secondary utilization is affected due to welding of the steel truss and the bracket at present.

The invention relates to the technical field of grain depot ventilation prediction, and discloses a grain storage ventilation decision-making method based on GNN and Cross-Attention, and the method comprises the steps: collecting internal temperature and humidity data of a grain depot, external temperature and humidity data of the grain depot, weather data and grain pile temperature data in real time; and the collected grain pile temperature data and weather data are preprocessed respectively, the grain balance relative humidity, the atmosphere dew point temperature and the grain dew point temperature are calculated and serve as input of a pre-trained ventilation decision model, and a classification result of ventilation decisions is obtained. Based on the temperature and humidity information of the air in the grain depot, the ventilation of the grain depot is comprehensively decided by combining the external temperature and humidity of the grain depot, the dew point data, the weather data and other information, the temperature characteristics of the grain depot are more accurately extracted, and the ventilation decision of the grain depot is more reliable.

The invention relates to the technical field of data management, in particular to a grain informatization data safety management system, which comprises an environment dynamic optimization module, a data management module and a data management module, wherein the environment dynamic optimization module is used for collecting temperature, humidity, gas components and illumination intensity parameters in a grain storage environment, calculating a parameter deviation value of the current environment, and adjusting environment parameters by dynamically evaluating a membership degree; and generating environment optimization adjustment parameters. According to the invention, by collecting multiple parameters such as temperature and humidity, gas components, illumination intensity and the like in the grain storage environment and based on dynamic comparison and deviation value calculation of monitoring data, the accuracy and adaptability of environmental data are improved. And the deviation condition of the environmental parameters is dynamically evaluated, so that the storage condition can be adjusted in time, and the potential influence of the uncertainty and fluctuation of the storage environment on the food safety is reduced. The abnormal points of the environmental data are analyzed, and the fluctuation rule and the dynamic characteristics are extracted, so that potential problems can be quickly identified, abnormal characteristic indexes are generated, and a basis is provided for subsequent processing.

The invention discloses a granary monitoring and early warning system based on a digital twin technology, and relates to the technical field of granary monitoring. The system comprises a server, a conduction analysis module and an early warning management module, through complete coverage of sensor data, a mechanism model, numerical simulation, three-dimensional visualization, risk quantification and intelligent response, landing, online acquisition, real-time simulation and dynamic early warning of digital twinning in grain storage management are truly realized, and blind areas and time delay of traditional manual and local sensing are solved.

The invention discloses a grain condition data prediction method and device, and relates to the technical field of grain, and the method comprises the steps: carrying out the data cleaning processing of original grain condition data, so as to generate a grain condition data optimal attribute set; training the grain condition data optimal attribute set through a radial basis function (RBF) neural network to generate a grain condition data prediction model; and outputting predicted grain condition data within a specified time step length through the grain condition prediction optimal attribute set and the grain condition data prediction model, and performing early warning according to a comparison result of the predicted grain condition data and a preset safe grain storage critical value. According to the invention, the future development or change trend of the grain condition is predicted through the multi-type grain condition data, so that early warning is carried out on the possible dangerous grain condition to ensure the grain storage safety.

The utility model relates to the technical field of grain storage bins, and discloses an intelligent robot with a detachable heat dissipation pipe for a grain storage bin, which effectively solves the problem that the heat dissipation effect is poor due to the fact that a heat dissipation fan is fixedly placed at present, and comprises a body, a moving vehicle is mounted at the bottom end of the body, and a camera is mounted at the top end of the body. A fan mounting groove is formed in the body, communicating grooves are symmetrically formed in the two ends of the fan mounting groove, the communicating grooves penetrate to the outside of the body, a fan body is mounted in the fan mounting groove, a filter cartridge is mounted on the front face of the body, and the filter cartridge covers the outer side of the communicating groove in the front face of the body. When a fixed barrel is installed, an insertion pipe can move in a grain pile through an air cylinder, when the fan body is started, hot air in the grain pile can be exhausted, and the heat dissipation efficiency in the grain storage bin is improved.

An intelligent grain storage control system based on a wireless sensor network comprises a grain storage environment monitoring subsystem which comprises a plurality of sensor arrays used for monitoring at least one grain storage environment parameter; the grain condition early warning subsystem is used for processing all the grain storage environment parameters by using a deep belief network and a long-short term memory network to obtain a real-time grain condition state; the intelligent control subsystem is used for generating an equipment control instruction according to the real-time grain condition state; and the overrun execution subsystem comprises a plurality of environment control devices, and the environment control devices are used for operating according to the device control instructions to change the environment of the grain depot. According to the invention, the grain storage environment parameters in the grain depot can be more flexibly collected, and the real-time grain condition state is predicted through the grain condition early warning model comprising the deep belief network and the long-short term memory network based on the grain storage environment parameters, so that the grain depot environment can be controlled with high precision, and full protection of grains is realized.

The invention provides a bird feeder. The bird feeder comprises a bird feeder body, a camera assembly, a grain storage device and a roof structure. The bird feeder main body comprises a mounting base, a main body frame fixedly connected with the mounting base and a supporting frame; the camera assembly is installed in the main body frame and provided with a camera used for shooting pictures of an animal feeding area. The grain storage device is used for providing food for feeding animals, and the grain storage device is detachably connected to the main body frame and staggered from the camera assembly; the roof structure covers the grain storage device and is detachably connected with the supporting frame. According to the bird feeder, the grain storage device is detachably connected with the main body frame, great convenience is provided for a user to add food and clean the grain storage device, the roof structure is detachably connected with the supporting frame, the stability of the overall structure of the bird feeder is enhanced, the roof structure is more convenient to install and disassemble, the whole bird feeder is convenient to assemble and disassemble, and the bird feeder is more convenient to use. And the fun of self-assembly of the user is greatly improved.

The intelligent fumigation warehouse inspection robot comprises a propelling frame, a bottom frame and a releasing frame which are connected in sequence, a medicament outer box is installed in the middle of the upper surface of the bottom frame, and a control panel is embedded outside the medicament outer box; the intelligent fumigation in the granary is jointly realized by taking a measure of combining continuous medicament loading and fixed-point medicament distribution, and targeted and accurate medicament application is performed through intermittent release and fixed-point medicament distribution after medicament loading, so that the fumigation effect in the granary is unified; in combination with parameter measurement of a gas fumigation comprehensive value and a pesticide application point position distribution value, the distribution condition of fumigation point positions and the distribution condition of the pesticide amount in the current granary are judged according to a granary patrol fumigation coefficient, and the distribution positions of the fumigation point positions and accurate infusion of the pesticide amount are correspondingly controlled; the problems that due to season change and grain condition parameter change, the concentration of phosphine gas in a granary is not uniform, and pesticide application accuracy is limited are solved, and grain storage safety is greatly guaranteed.

The invention discloses grain quality management and detection equipment for humidity detection for grain storage, and relates to the technical field of humidity detection, the grain quality management and detection equipment for humidity detection for grain storage comprises a machine body, and also comprises a material turning device, a dehumidification device and a moisture-proof device; wherein the material turning device comprises a detection device, a motor, a transmission shaft, a first rotating plate, a first rotating rod, a circular ring, a long rod, a supporting rod, a first sliding block, a reciprocating lead screw, a first belt, a support, a vertical rod and a second rotating plate, the detection device is fixedly connected to the top of the interior of the machine body, the motor is fixedly connected to the left side of the machine body, and the transmission shaft is fixedly connected to the output end of the motor; according to the grain quality management detection equipment for humidity detection in grain storage, when the first rotating plate rotates, the first rotating plate can turn over grains on the lower half portion in the machine body upwards, and the grains on the lower half portion of the machine body can be effectively prevented from being in a humid state for a long time.

The invention discloses a material level intelligent sensing and early warning system in the silo unloading process, and relates to the technical field of silo material level intelligent sensing. The method comprises the following steps: a data acquisition module used for acquiring a multi-modal data stream; the model construction module is used for constructing a normal unloading model based on the multi-modal data flow and a preset physical mechanism constraint; the state judgment module is used for extracting a current feature vector from the multi-modal data stream; comparing the current feature vector with a feature distribution range in a multi-dimensional feature space determined by a normal unloading model, and judging a current material flow state; according to the invention, material flow abnormal symptoms can be captured in time, early warning of the blocking risk is realized, the production rhythm is prevented from being disturbed by material flow interruption, the potential safety hazard caused by manual entering into the silo for troubleshooting is reduced, the grain loss and equipment damage risks caused by long-term retention and mildew of materials are reduced, and the storage safety and the operation stability of a grain storage system are guaranteed.

The invention relates to the technical field of grain and fertilizer transportation, in particular to a fertilizer and grain transfer vehicle which comprises a vehicle head, a vehicle body and a compartment with a compartment cover at the top, the middle of the compartment is divided into a grain storage bin and a fertilizer storage bin through a partition plate capable of transversely moving, and grain and fertilizer can be stored at the same time when the partition plate moves to the middle. When moving to the rightmost / leftmost end, switching to a pure grain / fertilizer storage mode; a ventilating shutter fan is arranged at the top of the grain storage bin, sealing folding cloth is arranged at the top of the fertilizer storage bin, the grain storage bin and the fertilizer storage bin are opened and closed in a linkage mode along with movement of the partition plate, the compartment is divided into the grain storage bin and the fertilizer storage bin through the transversely-movable partition plate, and the space proportion of the grain storage bin and the fertilizer storage bin can be freely adjusted when the partition plate moves. When the partition plate is located in the middle, grains and fertilizer can be stored at the same time; the pure grain storage mode is switched when the vehicle moves to the rightmost end, and the pure fertilizer storage mode is switched when the vehicle moves to the leftmost end, so that the capacity requirements on two types of goods in different transportation scenes are met, space waste caused by single goods transportation is avoided, and the universality and the transportation efficiency of the vehicle are remarkably improved.

The invention relates to the technical field of grain storage and transportation equipment, and discloses an elevator rotatable joint grain sliding pipe which comprises an elevator, a discharging pipe is arranged at one end of the elevator, a rotating joint is arranged at one end of the discharging pipe, a connecting pipe is arranged at the bottom end of the rotating joint, and pull rods are symmetrically arranged at one end of the connecting pipe. A left pull rope is arranged at one end of the pull rod, a right pull rope is arranged at the other end of the pull rod, a transport cart is arranged at the bottom end of the connecting pipe, the rotating joint comprises a central articulated chute, and the top end of the central articulated chute is arranged at the bottom end of the discharging pipe. Through adjustment, the grain sliding pipe has the angle adjusting capacity, the falling point of grains can be accurately controlled, the whole rotating process is stable and smooth, grain blockage or splashing cannot be caused, the continuity and high efficiency of grain conveying are guaranteed, the manpower and time cost is reduced, and the grain loading efficiency and the overall benefits of grain storage and transportation are improved.

The invention discloses a granary side wall environment abnormity monitoring method and system based on cloud computing, and belongs to the technical field of grain storage management, and the method comprises the steps: S10, collecting environment data of a granary side wall through different sensor nodes, and generating a data set related to the environment data; the environment data comprises temperature, humidity, air pressure and gas, and uploading the collected environment data to a cloud platform; s20, receiving, storing, analyzing and early warning the environmental data by the cloud platform; wherein the receiving of the environmental data is to receive the environmental data and perform verification and format conversion. According to the granary side wall environment monitoring system and method, environmental data monitoring, intelligent analysis, an accurate early warning mechanism and risk management are carried out on the granary side wall, the scientificity and the intelligent level of granary side wall environment monitoring are improved, damage to grains caused by environment abnormity is effectively prevented, and a scientific basis and decision support are provided for granary management.

The invention relates to the technical field of leveling control, and particularly discloses a multi-machine cooperative efficient leveling system based on a robot group, which comprises initial three-dimensional grain surface map construction, dynamic task initial allocation and operation path planning. The bottleneck of single-machine operation is broken through in a multi-machine cooperation mode, dynamic task allocation and path planning enable the robot to accurately adapt to grain surface differences, intensive operation in a high convex area and efficient traversal in a flat area, and a fine leveling process is combined, so that the time consumed for leveling the granary is remarkably shortened, the efficiency is improved by several times compared with that of manual work, the operation period is greatly shortened, and the rapid operation requirement of a large-scale granary is met; high-precision point cloud acquisition of initial mapping, laser radar dynamic scanning in operation, IMU attitude stable control and error strict control of fine leveling links are realized, grain surface flatness is guaranteed in the whole process, highly convex areas are accurately identified and processed, obstacles are avoided, a foundation is built for subsequent links of grain storage, and the problems of low efficiency and long period of traditional leveling are solved.

The invention relates to the field of grain storage equipment, and discloses a grain depot belt conveyor fault sound and vibration feature extraction method based on time domain synchronous averaging, and the method comprises the following steps: S1, carrying out the multi-channel synchronous collection of sound and vibration signals in the operation process of a grain depot belt conveyor, and obtaining an original sound and vibration data set; s2, the original sound vibration data set is preprocessed, noise interference is removed, and data standardization is completed; and S3, constructing a time domain synchronous average model based on the belt conveyor operation period signal, performing synchronous average processing on the preprocessed sound vibration data, and extracting a periodic sound vibration component. By constructing a time domain synchronous average model based on an operation periodic signal, model parameters can be dynamically adjusted in combination with periodic characteristics of actual operation of a belt conveyor, and periodic fault sound and vibration components are specifically separated and extracted from sound and vibration signals of mixed aperiodic noise. Aperiodic interference factors such as grain flow noise and mechanical interference in the grain depot environment are effectively filtered out.

The invention relates to the field of grain storage mechanical equipment, in particular to a folding wing spiral cleaning machine which comprises a grain scraping machine and a walking chassis, the grain scraping machine is arranged on the walking chassis, the folding wing spiral cleaning machine further comprises a folding wing assembly, and the folding wing assembly is rotationally connected to the side face of the grain scraping machine and used for conveying materials to a feeding port of the grain scraping machine; the folding wing assembly and the grain scraper form a first use state and a second use state, and in the first use state, the folding wing assembly is perpendicular to the walking direction of the bin cleaning machine; in the second use state, the folding wing assembly is parallel to the walking direction of the clearance machine; in the idle state, the shell of the folding wing assembly is attached to the walking chassis and can flexibly penetrate through key passing areas such as a doorway and a channel, during material conveying, the driving motor is started to enable the driving wheel to drive the shell and a connecting structure of the shell to generate angle deflection, meanwhile, the driving motor drives the spiral blade to rotate through the driving shaft, and then grains are conveyed towards the grain scraper. The operation area of the whole machine can be greatly increased, and the original grain discharging effect can be achieved without frequent movement of the whole machine.

The invention relates to the technical field of grain storage, and discloses a grain impurity treatment device of a static grain dryer, which comprises a dryer body, and the upper surface of the dryer body is fixedly connected with an E-shaped frame; the lower surface of the impurity removing box is fixedly connected with the upper surface of the E-shaped frame, the bottom of the impurity removing box is open, a feeding port is formed in the outer surface of the impurity removing box, a first partition plate and a second partition plate are fixedly connected to the inner wall of the impurity removing box, and the second partition plate is located on the side, away from the feeding port, of the first partition plate. A screen drum is rotationally connected between the first partition plate and the impurity removing box, and center shafts are fixedly connected to the two opposite sides in the impurity removing box. The grain impurity treatment device of the static grain dryer can effectively solve the problems that in the prior art, flowing large-particle impurities easily drive part of grain particles to be jointly discharged from the impurity discharging opening of the screen drum, so that actually available grains are reduced, and the grain yield and the overall income are reduced.

The utility model belongs to the technical field of pet supplies, and discloses a pet feeder. The pet feeder comprises a food storage barrel, a food discharging mechanism and a vacuumizing assembly. The grain storage barrel can communicate with the atmosphere, a first grain outlet is formed in the bottom end of the grain storage barrel, and a grain distribution assembly is rotationally arranged in the grain storage barrel. The grain discharging mechanism is arranged below the grain storage barrel and comprises a bearing table and a grain discharging assembly, the bearing table can ascend and descend, the grain discharging assembly comprises a grain discharging channel and a blocking piece, the axis of the feeding end of the grain discharging channel and the axis of the blocking piece are located on the same straight line, and the grain discharging assembly can be rotationally switched between a first position and a second position; and when the blocking piece is located at the second position, the grain outlet channel is opposite to the first grain outlet, and the blocking piece can block the first grain outlet. The vacuumizing assembly is arranged on the grain storage barrel and can evacuate air in the grain storage barrel. The pet feeder can store pet food in a sealed mode, and the risk that the pet food goes bad is avoided.

The invention discloses an intelligent analysis method for a grain storage process, and relates to the technical field of intelligent storage, and the method comprises the steps: analyzing the influence degree of environment data on grain quality, recognizing key environment data and secondary environment data, carrying out the abnormal value detection of the key environment data based on a box plot method, whether abnormal value detection is carried out on the secondary environment data or not is judged according to the key environment data abnormal value detection result and the influence degree of the secondary environment data on the grain quality; correcting the abnormal data based on a particle swarm optimization radial basis function neural network algorithm to obtain an abnormal environment factor; the problems that the response to the change of the storage environment is not timely and the grain storage efficiency is low are solved; the grain storage efficiency is improved, the loss is reduced, and the grain quality is ensured.

The invention relates to the technical field of bulk grain storage, in particular to an automatic grain loading and unloading device which comprises a frame body, the frame body is provided with a walking mechanism, a grain unloading mechanism, a grain receiving mechanism, a cleaning mechanism and a conveying mechanism are integrally mounted on the frame body, and the grain unloading mechanism, the grain receiving mechanism, the cleaning mechanism and the conveying mechanism are sequentially communicated. According to the automatic grain loading and unloading device, the grain unloading mechanism, the grain receiving mechanism, the cleaning mechanism and the conveying mechanism are integrated on the frame body, the functions of grain unloading, cleaning, conveying and the like are integrated, the integration degree is high, the structure is compact, the manufacturing cost is low, the occupied area is small, manual equipment carrying and lap joint work on site is avoided, and the working efficiency is improved. Compared with the prior art, the automatic grain loading and unloading system has the advantages that manual operation is greatly reduced, labor cost and energy consumption are reduced, meanwhile, automatic and continuous operation can be achieved through automatic control over all equipment, grain loading and unloading time is further saved, and bulk grain warehousing efficiency is improved.