34results about How to "Tightly coupled" patented technology

The invention discloses a self-adaptive power grid state court intelligent fusion terminal and a control method thereof, relates to the technical field of intelligent power grids, and solves the defects that an existing fusion terminal is insufficient in self-adaptive capability and limited in data processing and analysis capability. Learning power grid state change in real time through a deep power grid dynamic control algorithm and a prediction analysis engine combining LSTM and random forest, and autonomously adjusting a control strategy; the edge calculation and distributed processing module is utilized, so that the data processing flow is optimized, and the data processing speed and efficiency are greatly improved; the application of time sequence analysis and a machine learning model further excavates and understands a complex data mode; the resource configuration efficiency is improved through an intelligent scheduling algorithm, and a cross-layer coordination mechanism is established through a distributed coordination algorithm, so that rapid issuing and feedback collection of a control instruction are ensured; according to the invention, the intelligent degree of the existing fusion terminal is greatly improved.

The invention discloses a calculation method for multi-target well group precipitation optimization based on an intelligent algorithm. The calculation method comprises the following steps: constructing a foundation pit precipitation seepage-settlement mathematical model in a research area; performing parameter assignment and parameter correction on the model; establishing a target function; establishing a judgment matrix; determining each sub-target weight of the target function according to the judgment matrix to obtain a final target function, forming an optimization solution algorithm by the final target function and the genetic algorithm, and coupling the optimization solution algorithm with the established MODFLOW underground water foundation pit rainfall seepage-settlement mathematical model through Flopy to obtain a target function model. And the optimization solution algorithm continuously reads MODFLOW simulation results and performs iterative calculation until an optimization target is achieved. According to the method, the functions of opening and closing of the well, the single well water pumping amount and the like can be automatically optimized, a corresponding solution set is given, the influence of foundation pit dewatering construction on the environment is effectively reduced, the construction cost is reduced, and a new technical means is provided for modern foundation pit well group dewatering design.

The invention discloses an all-source navigation method based on RTK and laser inertial navigation odometer fusion, and relates to the technical field of all-source navigation, and the method comprises the following steps: S1, carrying out data acquisition through a sensor, including RTK data, laser radar data and IMU data acquisition, establishing a sensor measurement model to process the acquired data, and the like. According to the method, a laser speedometer factor and an IMU pre-integration factor are constructed by using measurement data of a laser radar and an IMU, motion distortion of the laser point cloud is eliminated by using motion estimated by the IMU, the motion distortion is used as an initial value for matching the laser point cloud, and the initial value of the laser point cloud is calculated in a sliding window with a fixed number of key frames. According to the method, the IMU pre-integration factor and the laser odometer factor are jointly optimized by using the factor graph, so that the low-drift laser odometer is obtained, the IMU deviation is updated after the factor graph optimization is completed, the tight coupling of the laser radar and the IMU is realized, and the precision and the stability of the odometer are improved.

The invention relates to the technical field of microelectronics, and discloses a processing method of a passive chip for magnetic field energy collection, which comprises the following steps: S1, providing a chip with a flexible substrate, and depositing a first dielectric layer on the surface of the substrate to isolate the substrate from a coil; s2, forming a three-dimensional spiral coil structure on the dielectric layer by adopting a three-dimensional micro-nano processing technology, wherein the coils are stacked layer by layer in an asymmetric spiral form along a direction perpendicular to the substrate; and S3, in the forming process of the coil, a multi-wire-harness cross arrangement design is used, so that the inductance increment of a unit area is maximized. Through the design of the three-dimensional spiral coils and the asymmetric coils, the limitation of a traditional planar coil structure on magnetic field coupling and induction efficiency is broken through, the three-dimensional spiral coils are arranged in a multi-layer mode in the vertical direction, magnetic flux coupling between the coils is tighter, and the inductance value and the induced electromotive force are remarkably improved.

The application discloses a kind of fresh stewed bird's nest cold chain transport process temperature field monitoring method and system, belong to cold chain monitoring technical field.Through heat inertia pulse test, heat capacity and thermal resistance are obtained, which are respectively taken as node attribute and edge attribute;Optimize sensor distribution based on the principle of random walk entropy minimization;Construct a dynamically updated directed weighted heat propagation path graph;Using sparse deconvolution combined with system impulse response function matrix, separate event excitation and identify abnormal events;Linearize the heat balance inverse problem in the rolling time domain, reconstruct the product temperature sequence and heat flow vector, calculate the equivalent heat damage dose, and generate the solidified causal directed acyclic graph evidence chain.The above scheme integrates heat inertia into the graph model, realizes event and heat response separation, risk quantification and full-process traceability, effectively improves the accuracy and reliability of cold chain temperature monitoring.

The invention discloses a brushless motor with a double-sided stator. The brushless motor is composed of the stator, a main rotor, an auxiliary rotor and a fixed seat. The brushless motor is characterized in that two sides of coils of the stator are arranged equally, each group of coils is linked by a gap in the stator, the full winding directions of equal group wires are the same, adjacent groups of coils of 12 groups of combined coils are opposite in winding, the driving mode is the same as that of the brushless motor, the main rotor is combined with the auxiliary rotor, and two groups of permanent magnets are arranged equally in the same sequence in the circumferential arrangement. Adjacent permanent magnets have opposite magnetic poles. Compared with a traditional brushless motor (inner and outer rotors), the brushless motor has the advantages that the magnetic field distribution is more reasonable, the magnetic field energy can be fully and effectively utilized, the coupling of the magnetic field is tighter and the magnetic field utilization rate is high due to the combination of the double rotors, higher mechanical power can be output under the same input power, and the energy conversion efficiency of the motor is improved.

The invention discloses a ring main unit fault processing method and device, a storage medium and a program product, and belongs to the technical field of power distribution automation. The method comprises the following steps: deploying a current sensor, a voiceprint sensor, a vibration sensor and an arc light sensor in a ring main unit, and synchronously collecting an electrical signal, a sound signal, a vibration signal and an optical signal when a fault occurs; carrying out preprocessing and feature extraction on the collected multi-modal data to obtain multi-dimensional feature parameters such as current amplitude, spectrum features, vibration energy and light intensity features; and calculating fault confidence based on a weighted fusion algorithm, and outputting fault type and position information when the confidence exceeds a judgment threshold. By fusing electrical quantity and non-electrical quantity information, real fault and non-fault disturbance can be distinguished, atypical faults such as high-resistance grounding and arc faults can be accurately identified, the false alarm rate is reduced, the reliability and the intelligent level of a ring main unit protection system are improved, and the method is suitable for intelligent operation and maintenance scenes of an urban power distribution network.

The invention relates to a device for acquiring multiple physical parameters of a core and a measuring method thereof. The device comprises a cylindrical openable inner cylinder, a clamping device, a cylinder cover, a length adjusting device, a sensing device, a cylinder cover, and a circular patch. The inner cylinder is made of a non-metallic insulating material. The sensing device is used to detect one or more parameters of the core, including magnetic susceptibility, resistivity, density, mass, temperature, humidity, and P-wave velocity. The method of the invention can obtain multiple parameter information at one time, and ensure the depth consistency of various core parameter information obtained, with high test accuracy and small test error, and simplifies the operation process and improves the operation efficiency.

The invention discloses a VDMOS device integrating on-chip array temperature sensing. The VDMOS device sequentially comprises an N + substrate layer, an N-drift layer, a P-type base region, a P + source region, an N + source region, a gate oxide layer, a polycrystalline silicon layer, an electrode layer, a passivation layer, a silicon nitride layer, a gate electrode layer, a gate dielectric layer, a source electrode layer, a drain electrode layer, a laser filament marked and ablated MXene conductive channel and a silicon nitride protective layer from bottom to top. The array type temperature sensor is directly integrated on the surface of the VDMOS device, the working temperature of the device can be accurately reflected in real time, errors caused by position deviation or heat conduction delay of an external temperature sensor are avoided, additional temperature sensor assemblies and connecting circuits are not needed, and the manufacturing cost and complexity are reduced.

The application discloses a deep roadway dynamic and static load source cooperation integrated strong support method and system, belongs to the underground engineering roadway intelligent support technical field, and the method is as follows: capturing surrounding rock stress and energy events, establishing a correlation model, dividing the roadway space into a global static load bearing area and a dynamic impact key protection area; constructing an ultra-large tonnage prestressed anchor cable / rod, erecting a collapsible heavy U-shaped steel support and spraying a steel fiber concrete to form a composite surface protection structure, and then evaluating the cooperation performance; in the static load bearing structure, active energy absorption units are additionally arranged between main anchor rods / cables, and passive energy dissipation units are filled between the U-shaped steel support and the concrete spraying layer. The system is as follows: a load fine identification module is used for distinguishing two types of loads and dividing areas; a main strong support subsystem is used for implementing active and passive cooperative support; a key area buffer subsystem is used for strengthening the impact key area; and an intelligent monitoring feedback platform is used for dynamically evaluating the performance. The application can significantly improve the overall stability of the deep roadway.

The invention discloses a method for coupling a distributed feedback laser and an electric absorption type modulator waveguide, which comprises the following steps of: taking a substrate with an electric absorption type modulator and a waveguide, and forming a self-alignment microcavity with a positioning structure on the substrate; manufacturing a microcavity metal film electrode and a solder layer in the self-aligned microcavity; making a self-alignment mark on the distributed feedback laser; the distributed feedback laser is placed in the self-alignment microcavity, and self-alignment high-precision optical path coupling of the distributed feedback laser and the electric absorption type modulator waveguide is completed by adopting a back-off welding bonding process. In the invention, the self-alignment microcavity with a positioning structure is manufactured on the substrate and the self-alignment mark is manufactured on the distributed feedback laser to carry out self-alignment on-chip heterogeneous integration on the DFB and the EAM, so that efficient, stable and compact optical path coupling is realized, and the device has the advantages of high coupling efficiency, low cost, short period and compact structure; the method is an ideal choice for realizing excellent monochromaticity and a high-speed modulation light source.

This invention discloses an entity relationship recognition method and apparatus for decision knowledge graphs. The method includes: retrieving a set of decision text information from a decision knowledge text database; preprocessing the set of decision text information to obtain a preprocessed dataset; and performing entity relationship recognition processing on the preprocessed dataset to obtain an entity relationship information set.

The invention discloses a fault processing method and device for a distributed micro-service system, equipment and a medium, relates to the technical field of communication, and aims to solve the problems of low real-time performance and poor precision of fault processing. Transient fault data is injected into the target micro-service group through a chaos injection unit, real-time abnormal data acquisition is performed through a non-intrusive probe, and a transient snapshot is generated; according to the transient snapshots, single-service micro-explosion segments are obtained, the single-service micro-explosion segments are aggregated based on the cross-service overlapping degree, a transient family is generated, index slopes, resource contention traces, log emergence frequencies and topological slices in the transient family are coded into multi-view time sequence vectors, the multi-view time sequence vectors are written into an index database, and the multi-view time sequence vectors are sent to a meta reinforcement learning training queue; in an isolation environment, according to the meta reinforcement learning training queue, performing meta reinforcement learning model training on the high-frequency abrupt change fault scene, and determining a meta strategy according to an instant reward function; and adjusting a chaos injection unit according to the meta-strategy, and carrying out fault processing operation on the distributed micro-service system.

The present application relates to the technical field of intelligent cockpit energy management and power dispatching control, and discloses a kind of dynamic adjustment method of intelligent cockpit equipment power priority.The power demand, minimum continuous power supply time, category and request state are collected by being numbered to all equipment, and the real needed equipment is screened out according to fixed period, the average power and reference duration are counted, the bidding factor is generated combined with category, relative power and relative duration, the factor is sorted and the assignable power is prefixed and cumulatively distributed, the priority is given and the record table is formed;the recursive delay count is carried out on the equipment with continuous request and not distributed at the end of the period, and the forced threshold is set;the fairness is guaranteed in the next period;the on-off instruction is executed at the same time, and the long-term non-requested equipment is identified and removed;if the conditions are met, it is included again, and the cycle is promoted.

The invention discloses an FPSO mooring system optimization design method, and particularly belongs to the technical field of ocean engineering mooring design. The method comprises the following steps: constructing an initial mooring model; optimization variables are defined, constraint conditions are determined, multiple sets of values of each set of optimization variables are assigned to the initial mooring model, and a multi-objective function is obtained; dynamically analyzing the optimization variables to generate an initial data set; based on the initial data set, establishing a multi-target agent model through an LSTM network; generating a new sample based on the initial data set by adopting an adaptive Latin hypercube sampling method; optimizing by using a genetic algorithm to obtain an optimized solution set; and carrying out real calculation on an optimal solution in the optimal solution set to obtain a simulation result, and judging whether constraint and performance requirements are met or not. According to the method, the problems of high cost and low efficiency of mooring design under complex sea conditions are solved, experience driving of the mooring scheme is changed into intelligent algorithm driving, and reliable technical guarantee is provided for large-scale deployment of the floating platform.

This utility model belongs to the technical field of duct reinforcement structure, and discloses a reinforcing support structure for a smoke-proof and exhaust composite duct. It includes a support beam, with a duct fixedly connected to its lower surface. The lower surface of the support beam has a slot with insertion holes. An installation block is installed within the slot. A reinforcing beam is fixedly connected to the lower surface of the installation block, and an installation beam is fixedly connected to the lower surface of the reinforcing beam. The installation beam has a slot with a connecting beam installed within it, and a second bolt is installed on the installation beam. Through the cooperation of the installation beam, slot, connecting beam, and second bolt, the two reinforcing beams are connected by the connecting beam, improving overall stability and transforming the independent reinforcing beams into a continuous load-bearing system. This increases the equivalent section modulus, significantly improving resistance to bending moment, shear, and torque. The integrated rigidity distribution reduces stress concentration at local weak sections, and the overall frame stiffness transmission path is more uniform.

This invention relates to the field of batteries, and more particularly to a nitrogen-doped carbon / tungsten diselenide nanosphere composite material, its preparation method, and its applications. This invention achieves tight coupling between few-layer WSe2 nanosheets and a nitrogen-doped carbon framework through a process combining complexation-polymerization and subsequent selenization. The resulting material consists of nanosphere particles, providing more electrochemical active sites and shortening the zinc ion diffusion distance. By introducing a nitrogen-doped carbon framework, this invention effectively improves the overall conductivity of the composite material and suppresses the stacking and aggregation of WSe2 nanosheets during charge and discharge, thereby significantly improving rate performance and cycle stability.

The invention discloses a small-scale high-resolution atmospheric pollution source tracking identification method and system, and the method comprises the steps: transmitting the obtained environment data of a to-be-detected position to an improved random reverse time Lagrange transport model, and carrying out the processing of the data, so as to obtain a small-scale high-resolution atmospheric pollution source result of the to-be-detected position, and carrying out the tracking identification of the small-scale high-resolution atmospheric pollution source. According to the improved random inverse-time Lagrange transport model, a calculation formula of height variation is obtained by using a new vertical interpolation calculation method on the basis of a Lagrange atmospheric pollution diffusion model, and a relationship between the random inverse-time Lagrange transport model and WRF is established; small-scale high-resolution atmosphere pollution source tracking identification is realized through a diffusion method of a random reverse-time Lagrange transport model, and the model is a backward time simulation model based on the random-time reverse-time Lagrange transport model, so that the efficiency is improved compared with forward time simulation.

The application discloses an adaptive path planning and pollution plume tracking method for underway monitoring, and comprises the following steps: a space model of a monitoring area is established by acquiring pose information, motion constraints and a sensor sampling period of a mobile measurement platform; pollution concentration and position information are collected in real time during platform travel to form observation data; a level set evolution method is used to construct and update a boundary representation of a pollution plume based on the observation data to depict the spatial variation of the plume; in combination with the boundary variation information, a rolling time domain optimization algorithm is used to generate a measurement path in a rolling update time range to guide adaptive adjustment of a travel route of the platform; the underway monitoring is completed by executing the path, and boundary tracking results of the pollution plume and corresponding spatial position determination results of pollution sources are output. The application is suitable for mobile monitoring and positioning tasks in complex environments.

The invention discloses a device and a method for detecting interface debonding of a hydraulic concrete structure repaired by FRP, and relates to the field of intelligent operation and maintenance of hydraulic engineering, the device comprises a probe and a host, the probe integrates acoustic detection and piezoelectric ceramic implantation functions, and can strike over the FRP surface and rapidly and preliminarily screen a debonding area through sound signal abnormity, and the probe is used for detecting the interface debonding of the hydraulic concrete structure repaired by the FRP. Precisely implanting a piezoelectric ceramic sensor and a matched curing agent into the debonding part by using the same probe to form a long-term monitoring point; by means of the method, the integrated operation process of rapid initial detection, fixed-point implantation and key detection is achieved. According to the invention, reliable implantation and stable signal acquisition of piezoelectric ceramics are realized, the problem of disjunction between detection of a traditional method and long-term monitoring and later detection is solved, and the device has the advantages of high integration level, capability of long-term fixed-point tracking and high applicability.

The utility model provides an in-memory computing array, an in-memory computing macro circuit and in-memory computing equipment, and the in-memory computing array comprises a memory unit group which can store data for computing; a calculation unit for performing a calculation operation; a latch capable of storing data read from the memory cell group; the global bit line switch is connected between a global bit line and the memory unit group, the global bit line can realize data interaction between the in-memory computing array and the outside, and the global bit line switch is configured to be switched off in response to a computing operation instruction, and the global bit line switch is configured to be switched off in response to the computing operation instruction. And reading data from the memory unit group to the latch for executing calculation operation, and closing the latch after the latch finishes data latching, so that the memory unit group reads / writes data through the global bit line, and the calculation operation and the read-write operation are parallel.

This invention discloses a charger PCBA fault detection method based on multimodal feature fusion, belonging to the field of electronic circuit fault detection technology. The method includes: applying a dynamic load to the charger PCBA under test, and simultaneously acquiring voltage ripple signals, electromagnetic radiation signals, and thermal distribution signals; performing time-frequency domain decomposition on the voltage ripple signal to obtain a ripple energy spectrum sequence, performing spectral broadening analysis on the electromagnetic radiation signal to obtain a radiation feature vector, and performing gradient calculation on the thermal distribution signal to obtain a thermal diffusion trajectory; inputting the above three modal data into a cross-feature mapping layer, generating a first interactive feature map through point-by-point multiplication and integration, and generating a second interactive feature map through bidirectional convolution; after concatenation, outputting a multimodal fusion feature tensor through a gated recurrent fusion unit, and then outputting the fault type and fault location of the charger PCBA by a fault discrimination network.

A fluidized bed gasification system for high-moisture lignite is disclosed. The outlet of the drying and pulverizing unit is connected to the inlet of the fluidized bed gasification unit. The outlet of the fluidized bed gasification unit is connected to the inlet of the sensible heat recovery unit. The outlet of the sensible heat recovery unit is connected to the inlet of the gas-solid separation unit. Part of the superheated steam discharged from the steam outlet of the sensible heat recovery unit goes downstream, and part of it enters the fluidized bed gasification unit together with oxygen. The outlet of the gas-solid separation unit is connected to the synthesis system. One outlet of the synthesis system discharges synthesis gas, and the other outlet discharges methane. The methane and air enter the hot air device for combustion to produce high-temperature flue gas, which enters the drying and pulverizing unit. The drying heat source of this invention comes from the combustion of methane produced by the system itself, and the steam required for gasification comes from the sensible heat recovery of the system's own synthesis gas. The material and energy coupling between each unit is close. This design reduces the dependence on external utilities and makes the device structure more compact.

The invention relates to the technical field of PVC material preparation, in particular to a slush molding PVC skin preparation process based on a modified PVC material, which comprises the following steps: heating a slush molding mold, conveying a material box containing PVC slush molding powder to the lower part of the slush molding mold, and connecting and coupling the material box and the slush molding mold; turning over the coupled material box and slush molding mold for a plurality of times, separating the material box from the slush molding mold after the redundant PVC slush molding powder falls into the material box, cooling the slush molding mold, and demolding to output a finished product slush molding skin; determining the interval duration between the heating moment and the cooling moment based on the average roughness of the sampling area in the finished product slush molding skin; the first overturning speed of the slush molding mold is determined based on the proportion of the number of defective products in the slush molding skin of the finished product; and the second overturning speed is determined based on the maximum thickness difference quantity of the finished product slush molding skin. According to the invention, the preparation accuracy of the PVC material is improved.

The utility model relates to a production device of green urea peroxide. Comprising a CO2 tail gas pipeline of a low-temperature methanol washing device, an air separation device and a water electrolysis hydrogen production device, oxygen outlets of the air separation device and the water electrolysis hydrogen production device are respectively connected with an oxygen storage tank, a nitrogen outlet of the air separation device is connected with a nitrogen storage tank, and a hydrogen outlet of the water electrolysis hydrogen production device is connected with a hydrogen storage tank; the nitrogen storage tank and the hydrogen storage tank are connected with the ammonia synthesis unit; the CO2 tail gas pipeline and the ammonia synthesis unit are connected with the urea reaction production device; the hydrogen storage tank and the oxygen storage tank are connected with the hydrogen peroxide production unit; an outlet of the urea reaction production device is connected with the hydrogen peroxide production unit and the urea peroxide production device; water and air are used for replacing traditional non-renewable fossil energy, the raw material cost is low, and the profitability of an enterprise can be improved.

The invention discloses a visual nano composite material for magnetic resonance imaging for treating osteosarcoma, and belongs to the technical field of nano materials. The nano composite material is prepared from the following raw materials in parts by mass: a gadolinium contrast agent, a modified natural polymer, a medicine component, a cross-linking agent, a stabilizer and a photoinitiator, the modified natural polymer comprises modified polylactic acid and modified chitosan; the medicine components comprise the Apatinib and the GSK-J4, and the mass ratio of the Apatinib to the GSK-J4 is (2 to 5) to (0.5 to 1); the gadolinium contrast agent comprises DOTA, glutamic acid and gadolinium ions, and the molar ratio of DOTA to glutamic acid to gadolinium ions is 1: (4-6): (2-3). The efficient, safe and multifunctional nano composite material is developed through a fine formula design, an innovative preparation process and a synergistic effect of functional components, and the material not only can provide high-quality magnetic resonance imaging, but also can realize targeted delivery and controlled release of drugs, and provides a new possibility for treatment of osteosarcoma.

This invention discloses a method and system for intelligent game testing and verification of wireless communication signals. The method includes: determining the configuration information of the communicating system and the interfering system; configuring the communicating system and the interfering system according to the determined configuration information, and starting game testing after configuration; statistically analyzing the game test results to obtain statistical results for the communicating system and the interfering system; calculating indicators based on the statistical results for the communicating system and the interfering system to obtain indicators for the communicating system and the interfering system; performing a weighted comprehensive evaluation calculation based on the indicators for the communicating system and the interfering system to obtain a comprehensive evaluation result; and measuring the intelligent game capability of the tested communication system based on the comprehensive evaluation result. This invention solves the problem of weak coupling between intelligent game testing and evaluation of wireless communication signals and application scenarios, as well as the problems of poor adaptability of existing intelligent game testing and evaluation methods for wireless communication signals and incomplete indicator systems.

The application discloses a reconfigurable target detection coprocessor and method based on RISC-V, relates to the technical field of embedded artificial intelligence and computer architecture, and is connected with a RISC-V main processor and a system on chip (SoC) memory, wherein the reconfigurable target detection coprocessor based on RISC-V, the RISC-V main processor and the SoC memory are integrated in a system on chip (SoC) chip; the application generates hardware configuration information through the RISC-V main processor, combines a dynamically reconfigured programmable data exchange network, realizes software definition of a hardware data path, enables a single hardware platform to efficiently accelerate support for multiple target detection algorithms with different structures, and improves flexibility and versatility of multi-target detection; and the data path dynamically reconfigured by the control unit ensures close coupling between basic computing units, eliminates idle resources caused by data flow mismatch in a fixed architecture, and significantly improves utilization of the basic computing units.

The invention provides a coal sample temperature change resistivity testing device and a using method thereof, and relates to the technical field of petrophysics and experimental geophysics. The device comprises an insulation and heat preservation device used for providing an insulation environment and a heat preservation environment; the shaft type sample bin is arranged in the insulation heat preservation device and is used for containing a test coal sample column; the transmission mechanism is used for driving the shaft type sample bin to rotate; the resistivity tester is electrically coupled with the test coal sample column to measure the resistivity of the test coal sample column in real time; the temperature rising device is arranged in the insulation and heat preservation device and is thermally coupled with the test coal sample column to realize heating; the thermodetector is arranged in the insulation heat preservation device and is thermally coupled with the test coal sample column to measure the temperature in real time; and the chassis is used for fixing and supporting the resistivity tester, the heating device and the thermodetector. According to the method, the resistivity of the prepared standard coal sample can be accurately and continuously measured in a controllable temperature field, and key data is provided for researching the rule that the coal electrical property changes along with the temperature.

The present invention relates to a method, a computer device and a storage medium for generating an order for a feed factory, the method comprising: a method for generating an order for a feed factory, wherein the feed produced by the feed factory is sequentially transported to each breeding unit of a breeding farm through a finished product warehouse, a pipe chain and a temporary storage warehouse; the method comprising: obtaining the feed demand of the breeding farm and the available capacity of the temporary storage warehouse; obtaining the available capacity of the finished product warehouse; calculating the feed production amount according to the feed demand, the available capacity of the temporary storage warehouse and the available capacity of the finished product warehouse to generate an order. According to the order generated by the technical solution of the present invention, the feed processing equipment can not only ensure efficient production, but also ensure an appropriate feed supply if it produces according to the order.