960 results about "Grain storage" patented technology

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 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 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 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.

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 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 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 invention discloses a three-dimensional layered grain intelligent storage warehouse which comprises an intelligent warehouse body, a transport cart mechanism is arranged in the intelligent warehouse body, a three-dimensional layered frame mechanism is further arranged in the intelligent warehouse body, a stacking machine mechanism is further arranged in the intelligent warehouse body, and a storage mechanism is placed in the three-dimensional layered frame mechanism. A sealing mechanism is arranged above the storage mechanism, and a gas control mechanism is arranged on the sealing mechanism; through mutual cooperation of a bottom support, a baffle, a fence and a sealing mechanism of the storage mechanism, good sealing and gas exchange effects are achieved, a gas valve detection assembly monitors temperature and humidity in real time, and through cooperation of a five-way electric control valve and a guide pipe, an air adjusting assembly, a vacuum adjusting assembly and the like, precise regulation and control of storage environment gas are achieved; dew can be discharged in time, the air humidity can be adjusted, a stable storage environment is created, grain mildew and insect damage are effectively prevented, the grain quality is guaranteed, and the grain storage period is prolonged.

The utility model discloses a pet feeder which comprises an upper shell assembly, a lower shell assembly, four supporting foot frames and two suction cup assemblies. A grain storage bin is arranged in a grain containing bowl. The lower shell assembly is arranged below the upper shell assembly; the four supporting leg frames are arranged at the four corners of the lower shell assembly and used for supporting the lower shell assembly and the upper shell assembly; the two suction cup assemblies are arranged below the four supporting leg frames, each suction cup assembly comprises two suction cups, and the suction cups are used for being adsorbed to the ground; the grain containing bowl is arranged below the lower shell assembly; wherein the two suction cup assemblies are oppositely arranged in a spaced mode, the two adjacent supporting foot frames are detachably installed on one suction cup assembly, and the other two supporting foot frames are detachably installed on the other suction cup assembly. The pet feeder can be adsorbed on the ground and prevented from falling down, and the position of the pet feeder can be replaced conveniently.

The invention relates to the technical field of grain storage ventilation control, discloses an air volume dynamic adjusting method and device of a grain storage ventilation system, and aims at solving the problem that an existing grain storage ventilation control mode is poor in accuracy. Comprising grain layer average temperature gradient, average grain temperature, average grain temperature difference between an air inlet layer and an exhaust layer, grain pile balance desorption absolute humidity under instant grain temperature and instant atmospheric absolute humidity; the state index of each grain pile partition is calculated in real time, the corresponding target ventilation quantity is determined, and the corresponding air valve is dynamically adjusted to the target opening degree corresponding to the target ventilation quantity; and when the grain pile partition is ventilated according to the target opening degree, the ventilation wind speed is calculated in real time, the moisture evaporation rate of the grain pile partition is calculated in real time based on a Penman-Monteith equation, and the target ventilation quantity is dynamically corrected according to the moisture evaporation rate. The accuracy of grain storage ventilation control is improved, and the method is particularly suitable for granaries in complex climate areas.

The invention relates to a reinforcement learning-based granary ventilation energy consumption optimization system and method, in particular to the field of granary ventilation energy consumption optimization, and can effectively improve the intelligent level of granary ventilation control by setting a data acquisition and fusion module, a state space construction module, a reinforcement learning training module and a real-time decision and feedback module. Accurate perception and decision-making of a dynamic environment are realized through cooperative work of multiple modules, the system adaptively optimizes a ventilation strategy by using a reinforcement learning technology, energy consumption is remarkably reduced, meanwhile, it is ensured that the temperature and humidity in a granary are stabilized in a safe range, the grain mildew or qualitative change risk is avoided, and the system has high practicability. The online learning ability of the method can continuously adapt to external weather changes and grain condition dynamic states, closed-loop optimization is formed, and finally energy consumption minimization is achieved on the premise that grain storage safety is guaranteed.

The invention relates to the technical field of intelligent warehousing, in particular to an intelligent detection method and system for a hardened area of a grain pile, and the method comprises the following steps: constructing a data collection device of the grain pile, and obtaining the reflection intensity, three-dimensional point cloud data and curvature of the grain pile; carrying out feature fusion on the reflection intensity and the curvature to obtain a hardened area sensitive feature of the grain pile, and constructing a hardened area detection model of the grain pile; establishing an abnormal surface identification network architecture of the grain pile to obtain abnormal surface features of the grain pile; according to the hardened area detection model, performing intelligent detection on the grain pile in combination with the abnormal surface features to obtain a preliminary detection hardened area; and carrying out boundary positioning on the preliminarily detected hardened area to obtain a hardened area boundary so as to obtain the hardened area of the grain pile. According to the method, the hardened area of the grain pile is effectively obtained, a quantitative decision basis is provided for grain storage safety management, and the method has remarkable economic value and practical significance.

The invention relates to the technical field of agricultural equipment, in particular to a corn ear and stalk collecting, packaging and film winding all-in-one machine which comprises a frame, a material collecting module and a recycling module are arranged on the frame, the material collecting module comprises a harvesting table, a cab and a grain storage box, and a stalk chopper is installed on the lower portion of the harvesting table; a stalk chopper is arranged on one side of the grain storage box, a stalk crusher connected with the stalk chopper is arranged on one side of the grain storage box, the recycling module comprises a stalk storage box and a packaging machine, a first conveying belt connected with the stalk storage box is arranged at the feeding end of the packaging machine, and a film winding device is arranged at the discharging end of the packaging machine. Compared with a traditional stalk and spike harvesting device, through modular design, stalk cutting, spike and grain separation, straw smashing and packaging and film winding integrated operation is achieved, device switching and manual intervention are reduced, and the straw mildewing risk caused by human errors is reduced.

A cover-after grain tarp is disclosed. The cover-after grain tarp includes, for example, a tarp body having a plurality of tarp sections joined together at one or more seams, each tarp section comprising a plurality of tarp panels having an outer terminal edge spaced between opposing converging edges and an edge panel secured along its length to an adjoining one of the plurality of tarp panels. The edge panel is configured for securing to hardware of a center tower structure at a grain storage location.

The invention relates to the technical field of grain storage, and discloses a novel heat preservation silo which comprises a silo wall, and the silo wall serves as a foundation of the whole silo and is used for bearing and building other structural parts. The granary top is located at the top of the granary wall, the bottom of the granary top is attached to the top of the granary wall, the granary top is used in cooperation with the granary wall, the granary wall comprises a wall plate, a side face heat preservation layer and a side face lining layer, the side face heat preservation layer is arranged on the inner side of the wall plate, the side face lining layer is arranged on the inner side of the side face heat preservation layer, the wall plate is made of galvanized steel, and the side face lining layer is arranged on the inner side of the side face heat preservation layer. The side face heat preservation layer is made of polyurethane foam, and the side face lining layer is made of reinforced concrete. By adopting the innovative structure that the outer-layer steel plates are matched with the inner-layer reinforced concrete, the design of the barrel-shaped wall plates and the vault accords with the mechanics principle, stress is dispersed, large loads can be borne, natural disasters such as earthquakes and typhoons can be effectively resisted, and compared with a traditional steel silo, the firmness is greatly improved.

The present invention relates to the technical field of elevators, and more specifically, to a grain elevator based on modern agricultural machinery and equipment, comprising a base, an elevator structure, a drive structure, a feeding structure, a rotating structure, and an opening and closing structure. The setting of the feeding structure avoids the blockage problem caused by excessive accumulation of grain at the elevator feed port, making the grain distribution more uniform, while facilitating operators to add grain to the equipment and improving flexibility. The setting of the rotating structure facilitates rapid adjustment of the direction of the discharge pipe on the elevator, thereby facilitating the delivery of grain to grain storage tanks in different directions, avoiding the adjustment of the overall direction of the elevator and improving operational efficiency. The setting of the opening and closing structure can flexibly adjust the valve opening according to production needs, accurately control the discharge flow of materials such as grain, and quickly cut off the discharge, with strong flexibility.

The invention relates to the technical field of grain drying equipment, in particular to an electric rapid grain discharging device of a grain dryer and an intelligent control method, and the electric rapid grain discharging device comprises a grain storage bin, a grain distributing assembly, a conveying assembly and an intelligent regulation and control unit. The grain distributing assembly achieves flexible grain discharging through a rotating disc and an adjusting ring, the conveying assembly adopts a conveying belt with protruding strips to prevent grain from sliding, and the intelligent regulation and control unit combines multi-sensor data and a fuzzy logic algorithm to dynamically adjust the grain discharging speed and flow. Through structure optimization and intelligent control, the grain discharging efficiency, stability and adaptability are remarkably improved, the problems of unstable flow and low intelligent degree in the prior art are solved, and reliable technical support is provided for modernized agricultural production.

The utility model discloses a vacuum fish food feeder which comprises a shell assembly, a food storage bin, a movable bin, a movable support and an eccentric wheel driving mechanism, the food storage bin is arranged at the top of the shell assembly, and a food outlet is formed in the bottom of the food storage bin. The movable bin is movably arranged in the shell assembly and below the grain storage bin, the movable bin is provided with a grain storage cavity on the front side and a blocking part on the rear side, an opening is formed in the bottom of the grain storage cavity, and a turning plate used for opening or closing the opening is arranged at the opening. The eccentric wheel driving mechanism and the movable support are both arranged in the shell assembly, the eccentric wheel driving mechanism is connected with the movable bin through the movable support, and the eccentric wheel driving mechanism drives the movable bin to move through the movable support. The grain storage cavity is opposite to the grain outlet or the blocking part closes the grain outlet, and the grain storage device is simple in structure and more reliable in performance.

The invention relates to the technical field of granary management, in particular to a granary multi-parameter collaborative sensing data management method and system. Comprising the steps of collecting upper-layer environment parameter data of an upper-layer area in a granary, core environment parameter data of a core area in the granary and external environment parameter data outside the granary; according to the external environment parameter data, the sudden drop situation of the external environment temperature is identified; calculating a humidity accumulation rising trend in the upper-layer environment parameter data and a temperature stability trend in the core environment parameter data; on the basis of the sudden drop situation, associating a humidity accumulation rising trend with a temperature stability trend, and judging a moisture migration risk; and generating moisture migration risk early warning information according to the moisture migration risk. The technical problem that when an existing granary data management method is used for processing complex and non-local moisture migration phenomena driven by external environment factors, multi-source data cannot be effectively associated, and consequently early warning is not timely is solved.

The invention discloses a grain diagnosis model training method, a grain diagnosis method, a grain diagnosis device and electronic equipment, and relates to the field of intelligent warehousing, the method comprises the following steps: collecting multiple groups of training data according to preset diagnosis types, each group of training data corresponding to one preset diagnosis type, the multiple groups of training data comprise grain storage information, warehouse environment information, warehouse equipment information and grain circulation information; extracting features of each group of training data, and obtaining a plurality of diagnosis models corresponding to each group of training data according to preset neural network training; and adopting a plurality of diagnosis models to build and obtain a grain diagnosis system. According to the method, data of various aspects of grain diagnosis are summarized, then the grain diagnosis model is trained, the grain diagnosis system is built, and the diagnosis system with an integrated evaluation function is built, so that the efficiency of grain storage management work is improved.

The utility model discloses a grain storage system applying chlorine dioxide, which comprises a granary, a first gas dispersion mechanism, a second gas dispersion mechanism, a circulation pipeline and a chlorine dioxide generator, the first gas dispersion mechanism comprises a main gas pipe and a plurality of gas dispersers, the main gas pipe is arranged at the top in the granary, one end of each gas disperser is connected with the main gas pipe, and the other end of each gas disperser is connected with the circulation pipeline. An air outlet pipe is arranged at the other end; the second gas dispersion mechanism comprises a conveying pipeline and a plurality of dispersion pipelines, the conveying pipeline is arranged at the bottom in the granary and distributed along the inner circumferential wall of the granary, the dispersion pipelines are arranged at the bottom in the granary, the conveying pipeline is arranged around the dispersion pipelines, the two ends of the dispersion pipelines communicate with the conveying pipeline, and the dispersion pipelines are provided with a plurality of gas outlet ports; one end of the circulation pipeline communicates with the main air pipe, the other end of the circulation pipeline communicates with the conveying pipeline, and the circulation pipeline is provided with a circulation fan. The grain storage system applying chlorine dioxide provided by the embodiment of the utility model can improve the gas diffusion efficiency.

The invention discloses an intelligent monitoring method and device based on multi-modal information fusion, and the method comprises the steps: (1) collecting multi-modal data; (2) carrying out self-adaptive preprocessing on the microwave signal; (3) video image self-adaptive preprocessing; (4) multi-domain feature extraction; and (5) carrying out weighted fusion classification output. The method and the system are suitable for monitoring main grain storage pests such as maize weevil and grain beetles in the scenes of national grain depots and civil granaries, can realize real-time identification, positioning and counting of pests from the surface layer of a grain pile to the depth of 0.5 m, and solve the problems of insufficient performance of a single-mode sensor (vision, radar and acoustics) and poor adaptability of a multi-mode fusion environment in the prior art. The method adapts to intelligent transformation of the existing granary, and meets the requirements of high precision, full coverage and strong robustness of modern grain storage.

The invention discloses a granary insect pest multi-parameter monitoring linkage control system and method, and relates to the technical field of agricultural automation. The problems that an existing granary insect pest monitoring means is single in data collection, the insect pest trend cannot be accurately pre-judged, and a prevention and control strategy lacks pertinence and is difficult to remotely manage are solved. According to the invention, multi-dimensional data are collected and preprocessed in real time, accurate and comprehensive pest and environment data are ensured to be obtained, and the pest recognition accuracy is significantly improved through feature extraction; an intelligent analysis and prediction model can pre-judge the pest trend in advance, and a traditional passive prevention and control mode is changed; a graded early warning mechanism and a precise control strategy can intelligently deploy prevention and control resources according to insect pest grades, so that the use of chemicals is reduced, and the prevention and control cost is reduced; a remote interaction function breaks space limitation, and managers can conveniently master the granary condition in real time and remotely regulate and control the granary; the risk of grain loss caused by insect pests is effectively reduced, the grain storage safety and quality are improved, and the granary management efficiency is improved.

The present application relates to the technical field of grain storage monitoring, in particular to a kind of granary grain storage abnormal monitoring method, system, equipment and medium, method includes: obtaining the collection data of multidimensional sensor in granary, extracts the drift characteristic value of each sensor collection data current period;The absolute value of the drift characteristic value of each sensor collection data current period is compared with pre-set threshold value, establishes and includes abnormal sensor and the sensor group associated with abnormal sensor;Obtain the collection data or drift characteristic value of each type sensor in the same period in the sensor group, fuse multi-sensor data and carry out correlation analysis, distinguish environmental interference or real grain storage anomaly;According to the abnormal type of real grain storage anomaly, trigger hierarchical response.Determine abnormal sensor by comparing the absolute value of drift characteristic value, establish the sensor group associated therewith, consider the relevance of different abnormal types and other factors, it is helpful to more accurately carry out abnormal analysis.