Electric power material intelligent checking method, device and equipment based on high-frequency radio frequency tag

Abstract

The invention provides an intelligent electric power material checking method, device and equipment based on a high-frequency radio frequency tag, and relates to the technical field of material checking. The method comprises the steps of determining a plurality of target installation positions based on pre-acquired initial material checking information of a target outdoor storage yard; wherein the target installation position is located in a target outdoor storage yard and is used for arranging detection equipment; obtaining first material information of the target outdoor storage yard based on label information of preset high-frequency radio frequency labels on all electric power materials in the target outdoor storage yard; obtaining initial material information of the target outdoor storage yard based on the detection information of all the detection devices, and correcting the initial material information based on the first material information to obtain second material information; and obtaining material checking information of the target outdoor storage yard based on the first material information and the second material information. According to the invention, the checking efficiency and checking accuracy of the electric power materials of the outdoor storage yard can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of material inventory, and in particular to an intelligent inventory method, device and equipment for power materials based on high-frequency radio frequency tags. Background Art

[0002] Power supplies such as transformers, cables, and poles are large and heavy, requiring frequent loading, unloading, and transportation. Outdoor storage yards offer ample space, suitable for storing large equipment while facilitating the entry and exit of transport vehicles. Furthermore, the storage of power supplies has relatively low environmental requirements, and outdoor storage yards are relatively inexpensive, effectively reducing storage costs. Therefore, power supplies are typically stored in outdoor yards rather than indoor warehouses.

[0003] Traditional inventory methods for power supplies in outdoor storage yards rely primarily on manual labor combined with basic equipment: Workers, armed with paper ledgers and handheld scanners, visually locate and verify each item individually. For transformers, they closely inspect nameplate information and manually enter serial numbers; for coiled cables, they unwrap the outer protective film to scan internal labels or verify printed identification; and for stacked poles, they climb to inspect the stamped serial numbers. Furthermore, they manually mark storage areas, sketch locations on paper blueprints, and record the status of supplies offline using handheld terminals.

[0004] However, due to the large size and metal content of power supplies, traditional RFID tags are susceptible to interference from metal and have poor signal penetration. Furthermore, the complex environment of outdoor storage yards makes inventorying power supplies stored in outdoor yards challenging. Existing inventory methods are also time-consuming and error-prone, lacking real-time performance and resulting in low inventory efficiency. They also fail to dynamically monitor the location and status of supplies, as well as abnormalities such as theft and displacement. Furthermore, inclement weather conditions such as rain, snow, high temperatures, and dust can reduce equipment stability, further complicating inventory management. Summary of the Invention

[0005] The embodiments of the present invention provide a method, device and equipment for intelligent inventory counting of electric power materials based on high-frequency radio frequency tags to solve the problems of low inventory efficiency and low inventory accuracy of electric power materials in existing outdoor storage yards.

[0006] In a first aspect, an embodiment of the present invention provides a method for intelligent inventory of electric power materials based on high-frequency radio frequency tags, comprising:

[0007] Determine multiple target installation locations based on pre-acquired initial inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard and are used to set up detection equipment;

[0008] Based on the tag information of the preset high-frequency radio frequency tags on all the power materials in the target outdoor storage yard, the first material information of the target outdoor storage yard is obtained;

[0009] Based on the detection information of all detection devices, initial material information of the target outdoor storage yard is obtained, and the initial material information is compensated based on the first material information to obtain second material information;

[0010] Based on the first material information and the second material information, material inventory information of the target outdoor storage yard is obtained.

[0011] In a second aspect, an embodiment of the present invention provides an intelligent inventory device for electric power materials based on high-frequency radio frequency tags, comprising:

[0012] A determination module, configured to determine a plurality of target installation locations based on pre-acquired initial material inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard and are used to set up detection equipment;

[0013] The acquisition module is used to obtain the first material information of the target outdoor storage yard based on the tag information of the high-frequency radio frequency tags preset on all the power materials in the target outdoor storage yard;

[0014] A detection module is configured to obtain initial material information of the target outdoor storage yard based on the detection information of all detection devices, and to compensate the initial material information based on the first material information to obtain second material information;

[0015] The inventory module is used to obtain material inventory information of the target outdoor storage yard based on the first material information and the second material information.

[0016] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation of the first aspect is implemented.

[0017] In an embodiment of the present invention, the target installation location is determined through initial inventory information and detection equipment is set up, which can ensure that the detection range of all detection equipment can cover the target outdoor yard, obtain the first material information through the tag information of the high-frequency radio frequency tag, and obtain the second material information through the detection information of the detection equipment, and further obtain the material inventory information of the target outdoor yard by combining the first material information and the second material information. While improving environmental adaptability and improving the inventory efficiency of electric power materials in the outdoor yard, the multi-source data fusion verification mechanism can effectively solve the problems of missed reading and misjudgment existing in traditional single recognition technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1This is a flowchart of an implementation method for intelligent inventory of electric power materials based on high-frequency radio frequency tags provided by an embodiment of the present invention;

[0019] Figure 2 This is a schematic diagram of the installation of detection equipment for the intelligent inventory method of electric power materials based on high-frequency radio frequency tags provided by an embodiment of the present invention;

[0020] Figure 3 Schematic diagram of overlapping areas of the intelligent inventory method for electric power materials based on high-frequency radio frequency tags provided by an embodiment of the present invention;

[0021] Figure 4 This is a schematic diagram of the structure of an intelligent inventory device for electric power materials based on high-frequency radio frequency tags provided by an embodiment of the present invention;

[0022] Figure 5 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0024] See also Figure 1 , which shows a flowchart of the implementation of the method for intelligent inventory of electric power materials based on high-frequency radio frequency tags provided by an embodiment of the present invention, as detailed below:

[0025] Step S110: determining a plurality of target installation locations based on pre-acquired initial material inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard and are used to set up detection equipment.

[0026] In some embodiments, the initial material inventory information includes core parameters such as a three-dimensional map of the outdoor storage yard, historical material distribution data, equipment storage location coordinates, material type, and metal content. For example, a storage yard map may have five transformer storage areas and three cable storage belts marked.

[0027] When determining the target installation location, it is necessary to consider the detection range of the detection equipment and the area of ​​the outdoor storage yard. Figure 2 As shown, the detection range of the detection equipment is a, and the plan of the outdoor yard is a rectangle with length b and width c. The target installation position is shown in Figure 2 .

[0028] In some embodiments, the detection equipment may adopt a multi-modal radar fusion device. For example, it can use UHF band radar to penetrate metal to detect internal defects, combine with the MIMO array of 77GHz millimeter wave radar to achieve submillimeter surface deformation imaging, and supplement with 24GHz Doppler radar to dynamically monitor the stability of materials.

[0029] Step S120: obtaining first material information of the target outdoor storage yard based on tag information of preset high-frequency radio frequency tags on all electric power materials in the target outdoor storage yard.

[0030] In some embodiments, high-frequency radio frequency tags are resistant to metal influences and have built-in temperature and humidity sensors that can collect environmental data in real time and transmit it back to the inventory device. For example, a multi-layer composite structure design with an embedded anti-metal material substrate can reduce electromagnetic wave reflection interference, optimize antenna layout and resonant frequency, and improve signal penetration and reading distance. The frequency of high-frequency radio frequency tags can be between 860-960MHz, and the detection range is greater than that of ordinary tags, reaching 10m or more.

[0031] The first material information is a standardized basic data set obtained through a high-frequency radio frequency tag preset on the surface of the power material.

[0032] In one possible implementation, the specific processing method of step S120 is: based on the initial inventory information of the target outdoor yard, determine the inventory path of the target outdoor yard, and determine multiple inventory locations based on the inventory path; wherein the inventory location is located in the target outdoor yard, and is used to set an information receiving device for a high-frequency radio frequency tag; based on all information receiving devices, collect the tag information of all electric power materials in the target outdoor yard; based on all the tag information, obtain the first material information of the target outdoor yard.

[0033] In some embodiments, the initial inventory information refers to a set of basic yard data pre-stored before conducting intelligent inventory, including core elements such as the three-dimensional spatial topological model of the target outdoor yard, a historical material distribution heat map, fixed facility coordinates, and environmental characteristic parameters. Specifically, it covers the yard layout structure, the preset storage coordinates and metal property distribution of existing power materials, multimodal environmental characteristic parameters, and historical abnormal event records. Among them, the yard layout structure includes information such as channel division and loading and unloading areas; the preset storage coordinates and metal property distribution of existing power materials include data such as transformer cluster areas and cable storage belts; the multimodal environmental characteristic parameters include information such as temperature and humidity baselines and electromagnetic interference source locations; and abnormal events may include displacement.

[0034] In some embodiments, the inventory path is a radio frequency signal collection trajectory pre-planned based on the three-dimensional map of the yard and the material distribution characteristics. The path covers the entire area of ​​the yard with a serpentine or spiral topology, focusing on increasing the scanning frequency in metal-dense areas and historical signal blind spots, ensuring that mobile reading and writing equipment can achieve data collection without blind spots along the optimal path.

[0035] Among them, the inventory location is the key node on the path. Usually, a commanding height of 3-5 meters above the ground, such as the top of the yard column or the gantry beam, is selected. The inventory location needs to be on the inventory path, and when setting the inventory location, the detection distance of the high-frequency radio frequency tag needs to be taken into consideration.

[0036] In some embodiments, the information receiving device is a high-frequency radio frequency signal acquisition device deployed at an inventory node. It utilizes a directional beamforming antenna array and an adaptive power regulation mechanism, capable of penetrating surface attachments to electrical materials. Its core functions include accurately capturing encrypted tag signals, analyzing material identity codes and status parameters in real time, and synchronizing this data to a central processing system via an encrypted transmission channel.

[0037] In addition, the information receiving device is integrated with an environmental perception module, which can dynamically compensate for the impact of external factors such as temperature, humidity, and electromagnetic interference on signal quality, ensuring stable communication in metal-intensive scenarios and forming the front-end perception network foundation for digital inventory of materials.

[0038] In some embodiments, the first material information includes basic information such as the material's unique electronic code, specifications, quality inspection records, temperature and humidity, and location coordinates. For example, a transformer is pre-installed with an anti-metal tag upon entry into storage. The tag stores encrypted key data such as its serial number, rated capacity, and insulating oil test results. During inventory, a directional reader / writer deployed on a gantry in the storage yard scans along a planned path, reads the tag information, and, combined with multi-node signal triangulation technology, ultimately generates a structured data entry containing the transformer's precise location, electrical parameters, and historical maintenance records. This data entry is then incorporated into the first material information database as part of the first material information.

[0039] Step S130: Based on the detection information of all detection devices, initial material information of the target outdoor storage yard is obtained, and the initial material information is compensated based on the first material information to obtain second material information.

[0040] In some embodiments, initial material information refers to a collection of raw material data collected by multiple detection devices deployed at the target outdoor storage yard. This data includes the preliminary location, quantity, and status parameters of the power materials. This information is derived from the detection devices' active scanning of the storage yard environment. Due to factors such as metal interference, temperature and humidity fluctuations, and device blind spots, it may result in missed detections or false positives.

[0041] Information compensation involves dynamically correcting the raw data from detection equipment by analyzing environmental interference and equipment characteristics. This information, combined with precise information from high-frequency radio frequency tags, can fill in missed or misidentified material data, ultimately improving the accuracy and reliability of power material inventory results in complex environments. Environmental interference includes factors such as metal material, temperature, and humidity.

[0042] In some embodiments, the second material information is material information obtained by information compensation of the initial material information, and its accuracy is higher than that of the initial material information.

[0043] In one possible implementation, step S130 is specifically processed as follows: determining an interference information set for each electrical material based on the first material information; wherein the interference information set includes temperature information, humidity information, location information, and surface material information; obtaining device characteristics of the detection device, and performing information compensation on the initial material information based on the device characteristics and the interference information set to obtain second material information.

[0044] The interference information set refers to the multi-dimensional set of environmental parameters that interfere with the detection equipment's signals during the power material inventory process. These factors can cause misreading or missed detections through electromagnetic reflection attenuation, multipath effects, and signal absorption, requiring dynamic correction via compensation algorithms.

[0045] In some embodiments, device characteristics refer to the inherent technical attributes and performance parameters of the detection device. These include hardware features such as operating frequency band, transmit power, and antenna gain, as well as software algorithms such as noise suppression capabilities and multi-target resolution accuracy. For example, the detection range of UHF radio frequency devices is negatively correlated with metal penetration, while millimeter-wave radar is highly sensitive to surface deformation but susceptible to attenuation by rain and fog. These characteristics determine the device's detection blind spots and error patterns in complex environments and are the core basis for information compensation.

[0046] In some embodiments, information compensation can dynamically correct the original data errors of the detection equipment by analyzing environmental interference and equipment performance parameters, and combine the precise information of high-frequency radio frequency tags to fill missed detections or misjudgments, thereby improving the accuracy and reliability of power material inventory results in complex environments.

[0047] In one possible implementation, the specific processing method of step S130 is: based on the device characteristics, determine the sensitivity of the detection device to each interference information in the interference information set; for each detection device, calculate the compensation parameter of the detection device based on the sensitivity of the detection device and the information value of the interference information of all power materials within the detection range of the detection device; based on the compensation parameter, perform information compensation on the detection result of the corresponding detection device, and obtain the second material information based on the compensation results of all detection devices.

[0048] In some embodiments, the interference information set includes temperature, humidity, location, and surface material information, and the detection device has varying degrees of sensitivity to each type of information. Sensitivity refers to the difference in the detection device's response strength to different interference information. For example, a radar may be sensitive to metal reflections but susceptible to humidity attenuation. This difference is quantified and used to dynamically adjust compensation parameters to correct for detection errors in specific environments.

[0049] In some embodiments, information values ​​refer to specific quantitative data collected by detection equipment or environmental sensors, reflecting physical quantities such as the state of power supplies or environmental interference. For example, a high-frequency radio frequency tag attached to a cable may detect a humidity value of 85%, indicating extremely high ambient humidity, potentially causing RF signal attenuation. The system combines this information value with the device's sensitivity to humidity to dynamically adjust the detection device's signal gain, compensating for reading errors caused by humidity and ensuring the integrity and accuracy of the supply data.

[0050] The calculation formula of the compensation parameter is:

[0051]

[0052] Among them, C k is the compensation parameter of the kth detection device, s ki is the sensitivity of the kth detection device to the i-th interference information, v ij is the contribution value of the j-th interference material to the i-th interference information, R i is the reference range of the i-th interference information, used to normalize the contribution value, ω j is the weight of the interference material, d j is the distance between the interference material and the detection equipment, f k (t) is the correlation function between the service life of the k-th device and the device performance integrity, is the spatial attenuation function, and η is the spatial attenuation coefficient.

[0053] In some embodiments, the compensation result is an optimized data set generated through information compensation. This integrates the correction parameters of the detection equipment with the precise information of the high-frequency tags, effectively eliminating missed detections or misjudgments caused by factors such as metal interference and environmental noise, resulting in more complete coverage of materials and more accurate location and status parameters. For example, a cable behind a metal shelf was initially not detected due to radar signal shielding. After the compensation algorithm improves the detection sensitivity of this area, its location and specifications are accurately recovered.

[0054] In some embodiments, the secondary material information is an updated version of the initial material information after interference parameter compensation. It incorporates multi-source data from detection equipment and verification results from high-frequency tags, resulting in greater environmental adaptability and accuracy. For example, if high temperatures cause RF signal attenuation on the surface of a transformer, the secondary material information uses temperature and humidity compensation coefficients to restore its true position and eliminate dimensional errors caused by thermal expansion, ultimately forming reliable inventory baseline data.

[0055] In one possible implementation, the specific processing method of step S130 is: denoising the detection information of all detection devices, and obtaining the initial material coverage information of the corresponding detection device based on the denoised detection information of each detection device; for each detection device, determining the overlapping detection area between the detection device and the adjacent detection device of the detection device, and based on the initial material coverage information of the detection device and the initial material coverage information of the adjacent detection device of the detection device, obtaining the individual material coverage information and overlapping material coverage information of the detection device; based on all overlapping material coverage information, determining the individual material coverage information of all overlapping detection areas, and based on the individual material coverage information of all detection devices and the individual material coverage information of all overlapping detection areas, determining the initial material information of the target outdoor yard.

[0056] De-noising refers to the technical process of filtering noise and eliminating interference from the raw signals collected by detection equipment, aiming to improve data quality. For example, when millimeter-wave radar scans densely packed cables, electromagnetic reflections generate a large amount of clutter. The system uses a wavelet transform algorithm to identify high-frequency noise components and, combined with adaptive filtering technology, isolates the true material echoes, eliminating false targets caused by rain, fog, or electromagnetic interference from adjacent equipment, ensuring the accuracy of the initial material information generated.

[0057] In some embodiments, detection information refers to the set of raw signals acquired by detection equipment through active scanning, including unprocessed data such as reflected echoes and electromagnetic signatures of electrical materials. For example, when a millimeter-wave radar scans stacked transformers, it captures scattered signals from surface deformation, cross-reflection interference from adjacent equipment, and ambient noise. This raw waveform data can be parsed to initially extract basic parameters such as the material's location and size, but further denoising and compensation are required to eliminate errors.

[0058] In some embodiments, the initial material coverage information is the material distribution data independently generated by a single detection device after denoising, marking the location, quantity and rough attributes of the materials within the effective detection range of the device.

[0059] The overlapping area refers to the physical space where the detection ranges of multiple detection devices overlap with each other, and the overlapping material coverage information refers to the material data set in the area where the detection ranges of multiple detection devices overlap with each other. Multi-source data fusion is required to eliminate redundancy or conflict. Figure 3 As shown in the figure, the coverage areas of two adjacent millimeter-wave radars in the yard, millimeter-wave radar A and millimeter-wave radar B, overlap at shelf aisle C. Shelf aisle C is the overlapping area. Both millimeter-wave radar A and millimeter-wave radar B detect 5 rolls of cables in this area. The material information of these 5 rolls of cables is the overlapping material coverage information.

[0060] In some embodiments, the individual material coverage information of a detection device refers to the material data set of a single detection device within its independent detection range. For example, a millimeter-wave radar deployed in the northwest corner of the yard has a detection range covering the independent storage areas of 3 transformers and 12 rolls of cables. The information of these 3 transformers and 12 rolls of cables is the individual material coverage information of the millimeter-wave radar. Overlapping material coverage information refers to the material data set detected by multiple detection devices in the common coverage area, which needs to be eliminated through spatiotemporal alignment and confidence analysis to eliminate redundancy or conflict. For example, the central passage of the yard is covered by three millimeter-wave radars, and all three detect the 5 pole bases in the area. The information of these 5 pole bases is the overlapping material coverage information of the millimeter-wave radar.

[0061] Individual material coverage information for overlapping detection areas refers to a unique and accurate set of material data generated by spatially and temporally aligning and fusing data collected by multiple detection devices within the shared coverage area. For example, two millimeter-wave radars in the middle of a storage yard detected the same batch of cables within their overlapping area, but the initial data contained positional offsets and duplicate counts. The system compares timestamps, spatial coordinates, and signal strength, eliminates redundant data, and uses a weighted average algorithm to correct coordinates to sub-meter accuracy. Ultimately, it generates a unique inventory containing the precise location, quantity, and surface condition of the cables, eliminating detection conflicts between multiple devices and ensuring the consistency of global inventory data.

[0062] By constructing a multi-dimensional environmental compensation model and a multi-source data fusion mechanism, the ability to identify materials in complex scenarios has been significantly improved. The equipment characteristics and environmental interference parameters are innovatively dynamically associated, a two-way verification architecture is used to intelligently correct the detection data, and real-time data reconstruction technology is combined to fill the monitoring blind spots. It effectively overcomes the problems of signal attenuation, false positives and missed detections in metal-dense areas and sudden environmental changes caused by traditional methods, greatly improving the environmental adaptability and data reliability of the inventory results, and providing an accurate dynamic monitoring basis for the management of outdoor power materials.

[0063] Step S140: Obtaining material inventory information of the target outdoor storage yard based on the first material information and the second material information.

[0064] Material inventory information is a core data set for dynamic management of power supplies, generated by integrating high-frequency radio frequency tag data with multi-source sensing results from detection equipment. It contains key information such as material type, quantity, real-time location, and storage status, as well as correction parameters and anomaly monitoring indicators after environmental interference compensation. This information, generated through tag recognition, detection scanning, data verification, and intelligent compensation, accurately reflects the real-time inventory status of power supplies in outdoor storage yards. It provides a reliable basis for inventory verification, abnormal displacement and loss warnings, replenishment decisions, and storage optimization, enabling digital management of supplies throughout their lifecycle in complex environments.

[0065] In one possible implementation, the specific processing method of step S140 is: determine whether the similarity between the first material information and the second material information exceeds a preset threshold; if the similarity exceeds the preset threshold, determine the second material information as the material inventory information of the target outdoor yard; if the similarity does not exceed the preset threshold, determine the abnormal power material based on the first material information and the second material information, and determine the third material information of the abnormal power material based on the monitoring information of the target outdoor yard, and determine the material inventory information of the target outdoor yard based on the first material information, the second material information and the third material information.

[0066] When calculating the similarity, it is necessary to consider information such as the material type, the quantity of each type of material, and the storage location of different materials in the first material information and the second material information. The similarity calculation formula is:

[0067]

[0068] Among them, S is the similarity, α is the static weight, β is the dynamic weight, γ is the environmental weight, A, B: the static attribute set of the first and second material information, such as code, model, etc., D DTW is the dynamic time warping distance, D max is the preset maximum allowable deviation threshold, E i is the environmental parameter value measured by the detection equipment, T i is the environmental parameter value recorded by the high-frequency radio frequency tag, r i is the measurement range of the first environmental parameter, ω i is the weight of the i-th environmental parameter, and

[0069] In some embodiments, the preset threshold is set in advance, and can be set manually, or determined by calculating the inherent errors of two different inventory counting methods.

[0070] In some embodiments, abnormal power materials refer to those whose first and second material information differ significantly during inventory due to abnormal detection signals, environmental interference, or changes in physical state. These materials may be unable to achieve data consistency through conventional detection and tag recognition due to factors such as metal shielding, tag damage, sudden changes in temperature and humidity, or physical displacement. Further location and status confirmation require multiple methods such as video surveillance, infrared thermal imaging, or manual verification. These materials are potential problem targets that require special verification during inventory.

[0071] Among them, the third material information is supplementary verification data obtained by calling the yard monitoring system based on the independent verification needs of abnormal power materials.

[0072] In one possible implementation, the specific processing method of step S140 is: obtaining a first degree of overlap between the third material information and the first material information, and a second degree of overlap between the third material information and the second material information; determining a first credibility of the first material information and a second credibility of the second material information based on the first credibility, the second credibility, the first material information, and the second material information, determining the material inventory information of the target outdoor yard.

[0073] In some embodiments, the first overlap represents the degree of data consistency between the third material information and the first material information, while the second overlap measures the strength of the association between the third material information and the second material information. A feature matching algorithm is used to calculate the proportion of coincidence between the two in dimensions such as material codes, location coordinates, and state parameters. For example, a cosine similarity model is used to compare the angle between the material feature vectors of the two data sources to determine the overlap. The specific calculation method is not limited here.

[0074] The first credibility is a quantitative evaluation indicator constructed based on the first overlap, reflecting the reliability of the first material information in anomaly verification scenarios. Its calculation incorporates weighting factors such as the tag reading success rate and historical data stability. For example, when the RFID tag of a cable is consistent with the detection data for three consecutive inventory counts, its baseline credibility value is increased to 0.92. The second credibility, based on the confidence interval of the second overlap and the device compensation parameters, can dynamically adjust the confidence level of the initial detection results using a Bayesian probability model. For example, when the detection error standard deviation σ of a compensated millimeter-wave radar in a high-temperature environment is ≤0.1m, the second credibility of the corresponding material data is automatically calibrated to above 0.88. These two credibility factors together form the decision-making basis for multi-source data fusion, ultimately generating globally optimal material inventory information through weighted averaging.

[0075] The system compares the first material information from the high-frequency radio frequency tag with the second material information compensated by the detection equipment. When the two are highly consistent, the highly accurate second material information is directly used. If there is a significant difference, the third material information obtained by the monitoring system is introduced for secondary verification. By dynamically evaluating the credibility weight of each data source, the optimized material inventory information is intelligently generated. This dual verification and exception handling mechanism effectively overcomes the limitations of a single detection method, accurately identifying the material status even in complex environmental interference, significantly reducing the risk of missed detection and misjudgment. At the same time, through automated decision-making processes, human intervention is reduced, achieving efficient and accurate intelligent inventory.

[0076] In one possible implementation, the method further includes: determining the types of power materials in the target outdoor yard and the storage quantity of each type of power materials based on the material inventory information of the target outdoor yard; determining the material replenishment information of the target outdoor yard based on the types of power materials and the storage quantity of each type of power materials, and replenishing materials in the outdoor yard based on the material replenishment information.

[0077] It's important to note that material replenishment information is a dynamic replenishment decision dataset generated through intelligent inventory. Its core function is to automatically identify the type, quantity, and priority replenishment areas of power supplies that need replenishment by analyzing real-time inventory counts and historical consumption patterns at the target outdoor storage yard, combined with preset safety stock thresholds and storage strategies. For example, when the on-hand quantity of a certain type of cable falls below the safety stock threshold, the system generates a replenishment list containing the cable model, replenishment quantity, and recommended storage location. This information is then synchronized with the triggering of procurement processes or scheduling instructions, ensuring that inventory consistently meets operational and maintenance needs while optimizing yard space utilization.

[0078] This application adopts high-frequency radio frequency tags that are resistant to metal interference and multi-source data fusion technology, combined with the environmental compensation algorithm and dynamic verification mechanism of the detection equipment, to effectively solve the signal attenuation and misjudgment problems of traditional methods in metal-dense environments, and significantly improves the accuracy and efficiency of power material inventory; through automated path planning, intelligent identification of abnormal materials and collaborative verification of multimodal data, full-scene coverage monitoring of complex outdoor storage yards is achieved, reducing the need for manual intervention while enhancing adaptability to harsh environmental factors, and generating material replenishment strategies based on accurate inventory results, providing reliable technical support for the intelligent warehousing management of power materials.

[0079] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0080] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0081] Figure 4 The following is a schematic diagram of the structure of an intelligent inventory device for electric power materials based on high-frequency radio frequency tags according to an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0082] like Figure 4 As shown, the electric power material intelligent inventory device 3 based on high-frequency radio frequency tags includes:

[0083] A determination module 41 is configured to determine a plurality of target installation locations based on pre-acquired initial inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard for setting detection equipment;

[0084] The collection module 42 is configured to obtain first material information of the target outdoor storage yard based on tag information of preset high-frequency radio frequency tags on all power materials in the target outdoor storage yard;

[0085] The detection module 43 is configured to obtain initial material information of the target outdoor storage yard based on the detection information of all detection devices, and to compensate the initial material information based on the first material information to obtain second material information;

[0086] The inventory module 44 is configured to obtain inventory information of materials in the target outdoor storage yard based on the first material information and the second material information.

[0087] In one possible implementation, the acquisition module 42 is specifically used to: determine the inventory path of the target outdoor yard based on the initial inventory information of the target outdoor yard, and determine multiple inventory locations based on the inventory path; wherein the inventory location is located in the target outdoor yard and is used to set an information receiving device for a high-frequency radio frequency tag; based on all information receiving devices, collect the tag information of all electric power materials in the target outdoor yard; based on all the tag information, obtain the first material information of the target outdoor yard.

[0088] In one possible implementation, the detection module 43 is specifically configured to: determine an interference information set for each electrical material based on the first material information; wherein the interference information set includes temperature information, humidity information, location information, and surface material information; obtain device characteristics of a detection device, and perform information compensation on the initial material information based on the device characteristics and the interference information set to obtain second material information.

[0089] In one possible implementation, the detection module 43 is further used to: determine, based on device characteristics, the sensitivity of the detection device to each piece of interference information in the interference information set; calculate, for each detection device, a compensation parameter of the detection device based on the sensitivity of the detection device and the information value of the interference information of all electrical materials within the detection range of the detection device; perform information compensation on the detection results of the corresponding detection device based on the compensation parameter, and obtain second material information based on the compensation results of all detection devices.

[0090] In one possible implementation, the detection module 43 is also used to: denoise the detection information of all detection devices, and obtain the initial material coverage information of the corresponding detection device based on the denoised detection information of each detection device; for each detection device, determine the overlapping detection area between the detection device and its adjacent detection devices, and obtain the individual material coverage information and overlapping material coverage information of the detection device based on the initial material coverage information of the detection device and the initial material coverage information of the adjacent detection devices of the detection device; determine the individual material coverage information of all overlapping detection areas based on all overlapping material coverage information, and determine the initial material information of the target outdoor yard based on the individual material coverage information of all detection devices and the individual material coverage information of all overlapping detection areas.

[0091] In one possible implementation, the inventory module 44 is specifically used to: determine whether the similarity between the first material information and the second material information exceeds a preset threshold; if the similarity exceeds the preset threshold, determine the second material information as the material inventory information of the target outdoor yard; if the similarity does not exceed the preset threshold, determine the abnormal power material based on the first material information and the second material information, and determine the third material information of the abnormal power material according to the monitoring information of the target outdoor yard, and determine the material inventory information of the target outdoor yard based on the first material information, the second material information and the third material information.

[0092] In one possible implementation, the inventory module 44 is further used to: obtain a first degree of overlap between the third material information and the first material information, and a second degree of overlap between the third material information and the second material information; determine a first credibility of the first material information and a second credibility of the second material information based on the first credibility and the second credibility; and determine material inventory information of the target outdoor yard based on the first credibility, the second credibility, the first material information, and the second material information.

[0093] In one possible implementation, the inventory module 44 is further used to: determine the types of power materials in the target outdoor yard and the storage quantity of each type of power materials based on the material inventory information of the target outdoor yard; determine the material replenishment information of the target outdoor yard based on the types of power materials and the storage quantity of each type of power materials, and replenish materials in the outdoor yard based on the material replenishment information.

[0094] Figure 5 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 5As shown, the electronic device 5 of this embodiment includes: a processor 50 and a memory 51. The memory 51 stores a computer program 52. When the processor 50 executes the computer program 52, the steps of the above-mentioned method embodiments are implemented. Alternatively, when the processor 50 executes the computer program 52, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0095] For example, the computer program 52 may be divided into one or more modules / units, which are stored in the memory 51 and executed by the processor 50 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 52 in the electronic device 5.

[0096] The electronic device 5 may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will appreciate that Figure 5 It is only an example of the electronic device 5 and does not constitute a limitation of the electronic device 5. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 5 may also include input and output devices, network access devices, buses, etc.

[0097] For the sake of convenience and brevity, the division of the above functional modules / units is only used as an example. In actual applications, the above functions can be assigned to different functional modules / units as needed. The above modules / units can be implemented in the form of hardware, software, or a combination of hardware and software.

[0098] In the above embodiments, the descriptions of each embodiment have their own focus. For parts not described or recorded in detail in one embodiment, please refer to the relevant descriptions of other embodiments. Unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other. The technical features of different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0099] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for intelligent inventory of electric power materials based on high-frequency radio frequency tags, characterized in that: include: Determine a plurality of target installation locations based on pre-acquired initial material inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard and are used to set up detection equipment; Based on the tag information of the preset high-frequency radio frequency tags on all the electric power materials in the target outdoor storage yard, first material information of the target outdoor storage yard is obtained; Based on the detection information of all detection devices, initial material information of the target outdoor storage yard is obtained, and the initial material information is compensated based on the first material information to obtain second material information; Based on the first material information and the second material information, material inventory information of the target outdoor storage yard is obtained.

2. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 1 is characterized in that: The performing information compensation on the initial material information based on the first material information to obtain second material information includes: Determining an interference information set for each power material based on the first material information; wherein the interference information set includes temperature information, humidity information, location information, and surface material information; A device characteristic of the detection device is obtained, and based on the device characteristic and the interference information set, information compensation is performed on the initial material information to obtain the second material information.

3. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 2 is characterized in that: The performing information compensation on the initial material information based on the device characteristics and the interference information set to obtain the second material information includes: determining, based on the device characteristics, a sensitivity of the detection device to each piece of interference information in the interference information set; For each detection device, calculating a compensation parameter of the detection device based on the sensitivity of the detection device and the information value of the interference information of all power materials within the detection range of the detection device; Information compensation is performed on the detection results of the corresponding detection equipment based on the compensation parameters, and the second material information is obtained based on the compensation results of all detection equipment.

4. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 1 is characterized in that: The initial material information of the target outdoor storage yard is obtained based on the detection information of all detection devices, including: De-noising the detection information of all detection devices, and obtaining the initial material coverage information of the corresponding detection device based on the de-noised detection information of each detection device; For each detection device, determine the overlapping detection area between the detection device and its adjacent detection devices, and obtain the individual material coverage information and overlapping material coverage information of the detection device based on the initial material coverage information of the detection device and the initial material coverage information of the adjacent detection devices; Based on all overlapping material coverage information, the individual material coverage information of all overlapping detection areas is determined, and based on the individual material coverage information of all detection devices and the individual material coverage information of all overlapping detection areas, the initial material information of the target outdoor storage yard is determined.

5. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 1 is characterized in that: The obtaining of the material inventory information of the target outdoor storage yard based on the first material information and the second material information includes: Determining whether the similarity between the first material information and the second material information exceeds a preset threshold; If the similarity exceeds a preset threshold, the second material information is determined as the material inventory information of the target outdoor storage yard; If the similarity does not exceed a preset threshold, the abnormal power material is determined based on the first material information and the second material information, and the third material information of the abnormal power material is determined according to the monitoring information of the target outdoor yard, and the material inventory information of the target outdoor yard is determined based on the first material information, the second material information and the third material information.

6. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 5 is characterized in that: The determining of the material inventory information of the target outdoor storage yard based on the first material information, the second material information, and the third material information includes: obtaining a first degree of overlap between the third material information and the first material information, and a second degree of overlap between the third material information and the second material information; determining a first credibility of the first material information and a second credibility of the second material information based on the first overlap degree and the second overlap degree; Material inventory information of the target outdoor storage yard is determined based on the first credibility, the second credibility, the first material information, and the second material information.

7. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 1 is characterized in that: The step of obtaining tag information of high-frequency radio frequency tags preset on all electric power materials and obtaining first material information of the target outdoor storage yard based on all tag information includes: Based on the initial inventory information of the target outdoor storage yard, an inventory path of the target outdoor storage yard is determined, and a plurality of inventory locations are determined based on the inventory path; wherein the inventory locations are located within the target outdoor storage yard and are used to set an information receiving device for the high-frequency radio frequency tag; Based on all information receiving devices, collect the label information of all power materials in the target outdoor storage yard; Based on all the tag information, first material information of the target outdoor storage yard is obtained.

8. The method for intelligent inventory of electric power materials based on high-frequency radio frequency tags according to claim 1 is characterized in that: The method further comprises: Determining the types of power materials in the target outdoor storage yard and the storage quantity of each type of power materials based on the material inventory information of the target outdoor storage yard; Based on the types of electric power materials and the storage quantity of each type of electric power materials, material replenishment information of the target outdoor storage yard is determined, and materials are replenished in the outdoor storage yard based on the material replenishment information.

9. An intelligent inventory device for electric power materials based on high-frequency radio frequency tags, characterized in that: include: a determination module, configured to determine a plurality of target installation locations based on pre-acquired initial material inventory information of the target outdoor storage yard; wherein the target installation locations are located within the target outdoor storage yard and are used to set up detection equipment; A collection module, configured to obtain first material information of the target outdoor storage yard based on tag information of preset high-frequency radio frequency tags on all power materials in the target outdoor storage yard; a detection module, configured to obtain initial material information of the target outdoor storage yard based on detection information from all detection devices, and to compensate the initial material information based on the first material information to obtain second material information; An inventory module is configured to obtain inventory information of materials in the target outdoor storage yard based on the first material information and the second material information.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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