Rapid warehousing, sorting and positioning method, device and equipment based on intelligent control and medium

Abstract

The invention discloses a rapid storage sorting and positioning method, device and equipment based on intelligent control and a medium, and relates to the technical field of storage management, and the method comprises the following steps: obtaining radio frequency identification tag information bound with electric power materials; receiving a material scheduling request sent by a client and performing identity verification, wherein the material scheduling request comprises uploader identity recognition; after the identity verification is passed, the mobile terminal starts laser guidance based on the label information, the laser guidance comprises regulation and control of a first attribute and judgment of a preset distance, and the first attribute comprises a laser emission interval and a laser emission wavelength based on human eye perception analysis; the judgment of the preset distance comprises the judgment of the Euclidean distance between the mobile terminal and the electric power material, and when the Euclidean distance is reduced to the preset distance, the laser guidance is closed. The method is used for solving the problem that warehouse management personnel are lack of visual and clear guidance after entering a warehouse.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management. More specifically, the present invention relates to a rapid warehouse sorting and positioning method, device, equipment and medium based on intelligent control. Background Technique

[0002] With the acceleration of global economic integration and the booming development of e-commerce, the warehousing and logistics industry is facing higher efficiency requirements and more complex management challenges. The traditional warehouse management mode has been difficult to meet the needs of modern enterprises for cost control and rapid response, prompting the development of warehouse technology towards automation, intelligence and digitization.

[0003] At the technical level, the rapid development of emerging technologies such as the Internet of Things, big data, artificial intelligence, and robotics has provided strong support for the upgrade of warehouse technology. These technologies not only improve the efficiency and accuracy of warehouse operations, but also reduce labor costs and enhance the competitiveness of enterprises. For example, the widespread application of equipment such as automated stereoscopic warehouses, intelligent sorting systems, and unmanned forklifts has significantly improved the automation level of warehousing and logistics. In addition, the enhancement of environmental awareness and the popularization of the concept of sustainable development have also promoted the development of warehouse technology towards greenization. Enterprises reduce their impact on the environment and achieve sustainable development by adopting energy-saving equipment, optimizing transportation and packaging, etc. Generally speaking, the development background of warehouse technology is multi-faceted, including the diversification of market demands, the promotion of technological progress, and the industry's pursuit of efficiency and sustainability. These factors jointly prompt the warehousing industry to continuously explore and innovate to adapt to the rapidly changing market environment.

[0004] For example, the access control method, device, target device and storage medium of the invention patent announcement with the announcement number: CN112327685B, which relates to an access control method, device, computer device and storage medium, and is applied to the technical field of the Internet of Things. The method includes: if the target device is awakened by the awakening device, then control the data receiving element of the target device to start; detect whether the first characteristic information of the target warehouse sent by the data sending device is received through the data receiving element within a preset time period; determine the access information of the target device according to the detection result, and the access information includes one of the inbound indication information and the outbound indication information. The inbound indication information is used to indicate that the target device enters the target warehouse, and the outbound indication information is used to indicate that the target device leaves the target warehouse; send the first information to the server, where the first information includes the access information of the target device and the second characteristic information of the target device, and the first information is used for the server to store. Using this method can improve the accuracy of device access control in and out of the warehouse.

[0005] For example, a real-time monitoring and management system for a warehouse driven by the Internet of Things disclosed in the invention patent announcement with the announcement number CN118348887B discloses a real-time monitoring and management system for a warehouse driven by the Internet of Things, belonging to the technical field of warehousing management, including: capturing and monitoring the environmental data of each area in the warehouse; communicating with the sensor network, being responsible for collecting and integrating the environmental data transmitted by the sensor network, and sending the environmental data to the central processing unit; receiving the environmental data from the data acquisition module, dividing the warehouse into several sub-areas, extracting the types of products stored in each sub-area, running a real-time monitoring algorithm, and generating corresponding monitoring reports and control regulations; storing historical data and generating monitoring reports, and storing the standard environmental parameter ranges required for different products; displaying in real time the environmental data, monitoring reports and warning information in the warehouse, and providing the operation authority of the corresponding environmental data control system; the present invention realizes the targeted control of the environment where the warehousing products are located.

[0006] In the above disclosed technical solution, there are at least the following technical problems: After the warehouse management personnel enter the warehouse, there is a lack of intuitive and clear guidance, and they cannot quickly locate the target materials.

[0007] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0008] In order to overcome the above defects of the prior art, the embodiments of the present invention provide a fast warehousing sorting and positioning method, device, equipment and medium based on intelligent control. By establishing a guiding laser beam between the warehouse management personnel and the target materials, and dynamically adjusting the emission wavelength of the guiding laser beam to make the laser beam clearly visible under different ambient light conditions, the problem of lack of intuitive and clear guidance after the warehouse management personnel enter the warehouse is solved.

[0009] To achieve the above object, the present invention provides the following technical solutions: A fast warehousing sorting and positioning method based on intelligent control includes the following steps: obtaining the radio frequency identification tag information bound to the power materials; receiving the material transfer request sent by the client and performing identity verification, the material scheduling request including the identity identification of the uploader; after the identity verification is passed, the mobile terminal starts the laser guidance based on the tag information, and the laser guidance includes the regulation of the first attribute and the judgment of the preset distance, and the first attribute includes the laser emission interval and the laser emission wavelength analyzed based on human eye perception; the judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power materials, and when the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

[0010] In a preferred embodiment, the mobile terminal activates laser guidance based on tag information, including: obtaining the position information of power materials and setting the target position of laser irradiation as the target power material position; activating laser guidance according to the position information of power materials, and dynamically adjusting the laser emission wavelength according to the first data and dynamically adjusting the laser emission interval according to the second data, where the first data includes ambient light intensity, ambient light wavelength range, and ambient light spatial sampling direction, and the second data includes the mobile terminal velocity vector.

[0011] In a preferred embodiment, the RFID tag information includes the position information of power materials, material electrical parameters, and the quantity information of similar materials.

[0012] In a preferred embodiment, the dynamically adjusting the laser emission wavelength according to the first data specifically includes: constructing an ambient light spectrum matrix based on ambient sensor data; obtaining the effective brightness of ambient light based on the CIE photopic curve and the ambient light spectrum matrix; presetting the laser emission wavelength and obtaining the effective brightness of the laser based on the CIE photopic curve; obtaining the effective brightness contrast between the ambient light and the laser, and adjusting the laser emission wavelength so that the effective brightness contrast exceeds a preset first threshold.

[0013] In a preferred embodiment, the dynamically adjusting the laser emission interval according to the second data specifically includes: obtaining the mobile terminal velocity vector based on the combined use of a gyroscope and an accelerometer; presetting the laser emission interval, and determining the laser light path change angle according to the laser emission interval, the distance between the mobile terminal and the target material, and the mobile terminal velocity vector; determining the target loss probability based on the minimum resolvable angle of the human eye and the laser light path change angle; judging the target loss result according to the target loss probability for adjusting the laser emission interval.

[0014] In a preferred embodiment, the judging the target loss result according to the target loss probability for adjusting the laser emission interval is specifically: when the target loss probability exceeds a preset second threshold, it is judged that the target is lost; adjusting the laser emission interval until it is judged that the target is not lost.

[0015] An apparatus for a fast warehousing sorting and positioning method based on intelligent control includes: an acquisition module for acquiring the RFID tag information bound to power materials; a receiving module for receiving a material transfer request sent by a client and performing identity verification, where the material scheduling request includes the identity identification of the uploader; a warehousing management module for, after the identity verification is passed, the mobile terminal activates laser guidance based on the tag information, and the laser guidance includes the regulation of the first attribute and the judgment of a preset distance, where the first attribute includes the laser emission interval and the laser emission wavelength based on human eye perception analysis; the judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power material, and when the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

[0016] An electronic device includes a processor, as well as a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; when running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute a fast warehousing sorting and positioning method based on intelligent control.

[0017] A storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, a fast warehousing sorting and positioning method based on intelligent control is implemented.

[0018] Technical effects and advantages of the fast warehousing sorting and positioning method, device, equipment and medium based on intelligent control of the present invention: The present invention establishes a guiding laser beam between the warehouse management personnel and the target materials, enabling the warehouse management personnel to more intuitively clarify the orientation of the target materials, improving the speed and accuracy of material search; by dynamically adjusting the laser emission wavelength, the guiding laser beam can adapt to complex and changing ambient light conditions, so that it can be clearly visible under different ambient light conditions, effectively improving the laser guiding effect; by dynamically adjusting the laser emission interval, while ensuring that the warehouse management personnel do not lose the target, the energy consumption is effectively reduced. Description of the Drawings

[0019] Figure 1 It is a schematic flowchart of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention.

[0020] Figure 2 It is a schematic structural diagram of the device of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention.

[0021] Figure 3 It is a schematic structural diagram of the electronic device of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention.

[0022] Figure 4 It is a schematic structural diagram of the medium of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention.

[0023] Figure 5 It is a manual mode operation interface diagram of the system of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention.

[0024] Figure 6 It is an automatic mode operation interface diagram of the system of the fast warehousing sorting and positioning method based on intelligent control provided by an embodiment of the present invention. Detailed Embodiments

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] Embodiment 1 Figure 1 A fast warehousing sorting and positioning method based on intelligent control is provided, including the following steps: S1. Obtain the radio frequency identification tag information bound to the power materials. S2. Receive the material transfer request sent by the client and perform identity verification. The material scheduling request includes the identity identification of the uploader. S3. After the identity verification is passed, the mobile terminal starts laser guidance based on the tag information. The laser guidance includes the regulation of the first attribute and the judgment of the preset distance. The first attribute includes the laser emission interval and the laser emission wavelength based on the analysis of human eye perception. The judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power materials. When the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

[0027] In this embodiment, by establishing a guiding laser beam between the warehouse management personnel and the target materials, the warehouse management personnel can more intuitively clarify the orientation of the target materials, improving the speed and accuracy of material search. By dynamically adjusting the laser emission wavelength, the guiding laser beam can adapt to complex and changing ambient light conditions, so that it can be clearly visible under different ambient light conditions, effectively improving the laser guidance effect. By dynamically adjusting the laser emission interval, while ensuring that the warehouse management personnel do not lose the target, the energy consumption is effectively reduced.

[0028] S1. Obtain the radio frequency identification tag information bound to the power materials.

[0029] In this embodiment, the radio frequency identification tag information includes the power material position information, the material electrical parameters, and the quantity information of the same type of materials.

[0030] In this embodiment, the material types of the power materials include power supply materials, protection materials, control materials, and maintenance materials; the preset material type areas include the power supply material area, the protection material area, the control material area, and the maintenance material area.

[0031] It should be noted that the power supply materials refer to the materials used for power production and power supply, the protection materials refer to the materials used for the safety and protection of the power system, the control materials refer to the materials used for the power control system, and the maintenance materials refer to the materials used for the maintenance and repair of power equipment.

[0032] S2. Receive the material transfer request sent by the client and perform identity verification. The material transfer request includes the identification of the uploader.

[0033] In this embodiment, the material transfer request is sent by the warehouse management unit to the mobile terminal.

[0034] In this embodiment, identity verification is achieved through RFID.

[0035] It should be noted that the warehouse management unit is based on PLC technology and sequentially sends single material transfer requests to idle mobile terminals.

[0036] Radio Frequency Identification (RFID) technology is a wireless communication technology that realizes non-contact automatic identification and data transmission through radio signals. It uses tags to store target information, activates the tags by the reader emitting electromagnetic waves to read or write data, and has the characteristics of no physical contact, multi-target identification, strong anti-interference ability, large data storage capacity, etc. It is widely used in fields such as logistics tracking, commodity anti-counterfeiting, supply chain management, intelligent transportation, and medical management. It is one of the core technologies of the Internet of Things and realizes efficient and accurate information interaction and management through wireless communication.

[0037] Programmable Logic Controller (PLC) is a digital operation electronic system designed for industrial environments. It realizes functions such as logical operation, sequential control, timing, counting, and arithmetic operations through programmable memories, and uses input / output modules to connect with field devices (sensors, actuators, etc.) to realize the automatic control of the production process. Its core advantages include high reliability, strong anti-interference ability, flexible programming, and modular structure for easy expansion and maintenance. It is widely used in fields such as manufacturing, water treatment, traffic control, and energy management and is one of the core devices of industrial automation.

[0038] S3. After the identity verification is passed, the mobile terminal activates the laser guidance based on the tag information. The laser guidance includes the regulation of the first attribute and the judgment of the preset distance. The first attribute includes the laser emission interval and the laser emission wavelength based on human eye perception analysis; the judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power materials. When the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

[0039] In this embodiment, the mobile terminal activates the laser guidance based on the tag information, including: Obtain the position information of the power materials and set the laser irradiation target position as the target power material position; Start the laser guidance according to the power material location information, and dynamically adjust the laser emission wavelength according to the first data and the laser emission interval according to the second data. The first data includes the ambient light intensity, the ambient light wavelength range, and the ambient light spatial sampling direction, and the second data includes the mobile terminal velocity vector.

[0040] In this embodiment, the dynamically adjusting the laser emission wavelength according to the first data specifically includes: Construct an ambient light spectrum matrix based on the ambient sensor data; Obtain the effective ambient light brightness based on the CIE photopic curve and the ambient light spectrum matrix; Preset the laser emission wavelength, and obtain the effective laser brightness based on the CIE photopic curve; Obtain the effective brightness contrast between the ambient light and the laser, and adjust the laser emission wavelength so that the effective brightness contrast exceeds a preset first threshold.

[0041] The CIE photopic curve is a standard photometric function formulated by the International Commission on Illumination (CIE), which describes the relative sensitivity of the human eye to light of different wavelengths in a bright environment (dominated by cone cells). Its peak is located at 555 nanometers (green light region), covering the visible spectrum of 380 - 780 nanometers, objectively quantifying the spectral response characteristics of the human eye under normal lighting, and becoming the core benchmark for lighting design, display technology, and photometric measurement.

[0042] In this embodiment, the specific expression of the ambient light spectrum matrix is:

[0043] In the formula, is the wavelength dimension, is the time dimension, is the polar angle (let the vertical downward direction be 0°), is the azimuth angle (let the due north direction be 0°); Among them,

[0044] In the formula, is the light intensity of the nth wavelength interval.

[0045] In this embodiment, the method for constructing the ambient light spectrum matrix is as follows: Discretize the sampling to obtain a discrete matrix:

[0046] Variable mapping:

[0047]

[0048]

[0049]

[0050] wherein, is the wavelength index, is the time frame number, is the polar angle layer number, is the azimuth angle sector number; is the wavelength interval, is the minimum value of the visible ambient light wavelength, is the timing sampling interval, is the preset single-layer angle, is the preset single-sector angle.

[0051] In this embodiment, the spherical harmonic function expansion is performed on the discrete angle data:

[0052]

[0053] The expansion coefficient is:

[0054]

[0055] Take

[0056] wherein, is the spherical harmonic function, is the associated Legendre polynomial, is the maximum expansion order, is the order, is the modulus within the order, is the expansion coefficient, is the complex conjugate of.

[0057] Spherical harmonic functions are a set of special orthonormal basis functions defined on the sphere, often used to solve partial differential equations with spherical symmetry, such as Laplace's equation or Helmholtz equation. Mathematically, they are eigenfunctions of the angular momentum operator, which can be decomposed into a functional combination of polar and azimuthal angles, and have rotational symmetry and orthogonality. Their core role is to expand complex spherical functions into a linear superposition of basis functions, thus simplifying calculations and analysis. In physics, spherical harmonic functions are widely used in quantum mechanics, electromagnetism, celestial mechanics, and geophysics. Computer graphics uses their low-order approximation characteristics to efficiently simulate ambient light and diffuse reflection; acoustic engineering is used for three-dimensional sound field reconstruction; machine learning uses their frequency domain characteristics for spherical data compression and feature extraction. By retaining the main low-frequency components, spherical harmonic functions can significantly reduce the data dimension while ensuring accuracy, becoming the core mathematical tool for dealing with spherically symmetric problems across different fields.

[0058] In this embodiment, the specific calculation formula for the effective brightness of ambient light is:

[0059] The specific calculation formula for the effective brightness of laser is:

[0060] In the formula, is the effective brightness of ambient light, is the photopic vision function based on the photopic vision curve, is the effective brightness of laser, is the laser emission wavelength, is the photopic vision function when the laser emission wavelength takes , is the preset laser emission power.

[0061] In this embodiment, the specific calculation formula for the effective brightness contrast between ambient light and laser is:

[0062] In the formula, is the Weber contrast, is the effective brightness of laser, is the effective brightness of ambient light.

[0063] In this embodiment, the preset first threshold is the minimum value 0.01 that can be perceived by the human eye.

[0064] In this embodiment, the dynamically adjusting the laser emission interval according to the second data specifically includes: Based on the combined use of a gyroscope and an accelerometer, obtain the velocity vector of the mobile terminal; Preset the laser emission interval, and determine the laser optical path change angle according to the laser emission interval, the distance from the mobile terminal to the target material, and the velocity vector of the mobile terminal; Determine the target loss probability based on the minimum angular resolution of the human eye and the laser optical path change angle; Judge the target loss result according to the target loss probability, and use it to adjust the laser emission interval.

[0065] In this embodiment, the judgment of the target loss result according to the target loss probability for adjusting the laser emission interval is specifically as follows: If the target loss probability exceeds the preset second threshold, it is judged that the target is lost; Adjust the laser emission interval until it is judged that the target is not lost.

[0066] In this embodiment, after the laser emits for a preset fixed duration of 2 seconds, the laser is briefly turned off and then turned on after the laser emission interval duration.

[0067] In this embodiment, the specific calculation formula for the laser optical path change angle is:

[0068] In the formula, is the laser optical path change angle, is the velocity vector of the mobile terminal, is the laser emission interval, is the included angle between the velocity direction and the original optical path direction, is the distance from the mobile terminal to the target material.

[0069] In this embodiment, the specific calculation formula for the target loss probability model is:

[0070] In the formula, is the target loss probability, is the laser optical path change angle, is the minimum angular resolution of the human eye, is the standard deviation of visual sensitivity, is the cumulative distribution function of the standard normal distribution.

[0071] In this embodiment, to make the target loss probability not exceed the second threshold, that is

[0072] The specific limiting formula for the laser emission interval is obtained:

[0073] In the formula, is the target loss probability, is the second threshold, is the laser emission interval, is the distance from the mobile terminal to the target material, is the velocity vector of the mobile terminal, is the angle between the velocity direction and the original optical path direction, is the minimum angular resolution of the human eye, is the standard deviation of visual sensitivity, is the quantile function of the standard normal distribution.

[0074] Embodiment 2, Figure 2 provides a system for a fast warehousing sorting and positioning method based on intelligent control, including an acquisition module, a receiving module, and a warehousing management module: The acquisition module is used to acquire the radio frequency identification tag information bound to the electric power materials; The receiving module is used to receive the material transfer request sent by the client and perform identity verification, and the material scheduling request includes the identification of the uploader; The warehousing management module is used to, after the identity verification is passed, the mobile terminal starts laser guidance based on the tag information, and the laser guidance includes the regulation of the first attribute and the judgment of a preset distance. The first attribute includes the laser emission interval and the laser emission wavelength based on the analysis of human eye perception; the judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the electric power materials, and when the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

[0075] In this embodiment, the system can be switched between the manual mode and the automatic mode.

[0076] Figure 5 is the manual mode operation interface diagram of the system for the fast warehousing sorting and positioning method based on intelligent control provided by the embodiment of the present invention, Figure 6 is the automatic mode operation interface diagram of the system for the fast warehousing sorting and positioning method based on intelligent control provided by the embodiment of the present invention.

[0077] It should be noted that in the manual mode, the on / off state of the laser is selectable, the emission wavelength of the laser is selectable, and the emission interval of the laser is selectable; in the automatic mode, each option is in a non-selectable state and is automatically adjusted by the system.

[0078] Embodiment 3, This embodiment provides an electronic device, as Figure 3 shown, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, any implementation manner in Embodiment 1 can be implemented.

[0079] Since the electronic device introduced in this embodiment is the device used to implement the method in Embodiment 1 of the present invention, based on the method introduced in Embodiment 1 of this application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the implementation of how this electronic device realizes the method in the embodiments of this application will not be described in detail here. As long as the device used by those skilled in the art to implement the method in the embodiments of this application belongs to the scope protected by this application.

[0080] Embodiment 4 This embodiment provides a computer-readable storage medium, as Figure 4 shown, on which a computer program is stored. When the computer program is executed by a processor, any implementation manner in Embodiment 1 can be realized.

[0081] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0082] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0083] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0084] In addition, in each embodiment of this application, the various functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0085] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

[0086] Finally, the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A rapid warehousing sorting and positioning method based on intelligent control, characterized in that, Including the following steps: Obtain the radio frequency identification tag information bound to the power materials; Receive the material transfer request sent by the client and perform identity verification. The material scheduling request includes the identification of the uploader; After the identity verification is passed, the mobile terminal starts laser guidance based on the tag information. The laser guidance includes the regulation of the first attribute and the judgment of the preset distance. The first attribute includes the laser emission interval and the laser emission wavelength based on the analysis of human eye perception; the judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power materials. When the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

2. The rapid warehousing sorting and positioning method based on intelligent control according to claim 1, wherein The mobile terminal starts laser guidance based on the tag information, including: Obtain the position information of the power materials and set the laser irradiation target position as the target power material position; Start laser guidance according to the power material position information, and dynamically adjust the laser emission wavelength according to the first data and dynamically adjust the laser emission interval according to the second data. The first data includes the ambient light intensity, the ambient light wavelength range, and the ambient light spatial sampling direction, and the second data includes the mobile terminal velocity vector.

3. The rapid warehousing sorting and positioning method based on intelligent control according to claim 2, characterized in that The radio frequency identification tag information includes the power material position information, the material electrical parameters, and the quantity information of the same type of materials.

4. The quick warehousing sorting and positioning method based on intelligent control according to claim 3, characterized in that The dynamically adjusting the laser emission wavelength according to the first data specifically includes: Construct an ambient light spectrum matrix based on the ambient sensor data; Obtain the effective brightness of the ambient light based on the CIE photopic curve and the ambient light spectrum matrix; Preset the laser emission wavelength and obtain the effective brightness of the laser based on the CIE photopic curve; Obtain the effective brightness contrast between the ambient light and the laser, and adjust the laser emission wavelength so that the effective brightness contrast exceeds the preset first threshold.

5. The method for rapid warehousing sorting and positioning based on intelligent control according to claim 4, wherein The dynamically adjusting the laser emission interval according to the second data specifically includes: Based on the combined use of the gyroscope and the accelerometer, obtain the mobile terminal velocity vector; Preset the laser emission interval, and determine the laser light path change angle according to the laser emission interval, the distance from the mobile terminal to the target material, and the mobile terminal velocity vector; Determine the target loss probability based on the minimum resolvable angle of the human eye and the laser light path change angle; Judge the target loss result according to the target loss probability for adjusting the laser emission interval.

6. The rapid warehousing sorting and positioning method based on intelligent control according to claim 5, characterized in that The judging the target loss result according to the target loss probability for adjusting the laser emission interval is specifically: If the target loss probability exceeds the preset second threshold, it is judged that the target is lost; Adjust the laser emission interval until it is judged that the target is not lost.

7. An apparatus using the intelligent control-based fast warehouse sorting and positioning method according to any one of claims 1-6, including: An acquisition module for obtaining the radio frequency identification tag information bound to the power materials; A receiving module for receiving the material transfer request sent by the client and performing identity verification. The material scheduling request includes the identification of the uploader; The warehousing management module is used to start laser guidance based on tag information after identity authentication. The laser guidance includes the regulation of the first attribute and the judgment of a preset distance. The first attribute includes the laser emission interval and the laser emission wavelength analyzed based on human eye perception. The judgment of the preset distance includes the judgment of the Euclidean distance between the mobile terminal and the power materials. When the Euclidean distance is reduced to the preset distance, the laser guidance is turned off.

8. An electronic device, characterized in that, It includes a processor, as well as a memory and a network interface connected to the processor. The network interface is connected to the non-volatile memory in the server. When running, the processor retrieves a computer program from the non-volatile memory through the network interface and runs the computer program through the memory to execute the method described in any one of claims 1-6 above.

9. A storage medium, characterized in that: Computer program instructions are stored on the storage medium, and when the computer program instructions are executed by the processor, the method described in any one of claims 1-6 is implemented.

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