High-precision electrical test equipment management and control system based on RFID, UWB and Beidou

Abstract

The application discloses a high-precision electrical test equipment management and control system based on RFID, UWB and Beidou, wherein the equipment layer is used for arranging an electrical test equipment positioning device, and comprises an RFID module, a UWB positioning module and a Beidou positioning module; the network layer is used for transmitting data of the equipment layer to a service data layer; the service data layer adopts a multi-source data fusion algorithm to obtain accurate equipment information; meanwhile, the service data layer integrates a management method of the electrical test equipment; and the display layer is used for displaying information in a warehouse. The system takes RFID technology as a core identity recognition carrier, combines indoor high-precision positioning of UWB and outdoor positioning of Beidou, and constructs a seamless management system of in-warehouse identity recognition, in-warehouse position tracking and out-of-warehouse track monitoring. The system integrates an intelligent warehouse management platform, realizes full-process closed-loop management and control of electrical test equipment warehousing acceptance, in-warehouse supervision, use approval, return verification and maintenance monitoring, and improves management refinement and operation efficiency.

Description

Technical Field

[0001] This invention relates to the field of power equipment management and control technology, and in particular to a high-precision electrical testing equipment management and control system based on RFID, UWB and Beidou. Background Technology

[0002] As the main artery of the national economy, the safe and stable operation of the power grid is an important guarantee for social development and people's peaceful life. In the daily management and operation of the power grid, regular maintenance is required to ensure the safe and stable operation of each power grid line and related equipment. During the maintenance phase, various electrical testing equipment are often used.

[0003] In the existing power testing equipment management system, the methods of manually recording equipment models and serial numbers and using barcode scanning to record power testing equipment information are both inefficient in identifying power testing equipment. For example, manual recording of equipment information is inefficient and prone to errors, while barcode scanning requires physical contact, which can easily cause wear and tear. Since a single identification takes ≥3 seconds, there is a risk of information tampering, with a misidentification rate as high as 8%-12%, which can easily lead to project delays or safety hazards.

[0004] Meanwhile, due to the lack of precision in the location control of each test equipment in the warehouse for power test equipment management, the location is only manually marked. After the equipment is moved, the location information is delayed, which is generally greater than or equal to 30 minutes. There is a "hidden loss" rate, that is, the idle equipment cannot be located, which increases the time for requisitioning and searching for equipment by an average of 20-30 minutes per unit.

[0005] On the other hand, after the test equipment leaves the warehouse, its trajectory outside the warehouse is disconnected from the maintenance management. The location of the equipment after leaving the warehouse cannot be traced, and the maintenance cycle relies on paper records. The over-service rate is 10%-15%, and it takes more than 48 hours to trace abnormal use behavior.

[0006] Finally, due to the aforementioned problems, traditional power testing equipment has certain deficiencies in the management process inside and outside the warehouse, failing to provide real-time data for the corresponding testing equipment and failing to provide effective data support for management decisions. Summary of the Invention

[0007] To overcome the aforementioned problems, the purpose of this invention is to provide a high-precision electrical testing equipment management and control system based on RFID, UWB, and BeiDou. This system uses RFID technology as the core identification carrier, combined with UWB indoor high-precision positioning and BeiDou outdoor positioning, to construct a seamless management system that integrates in-warehouse identification, in-warehouse location tracking, and out-of-warehouse trajectory monitoring. Simultaneously, it integrates an intelligent warehouse management platform to automatically collect RFID identification data, location data, and business operation data, generating standardized electronic ledgers. Ultimately, it achieves closed-loop management of the entire process of electrical testing equipment warehousing acceptance, in-warehouse supervision, requisition approval, return verification, and maintenance monitoring, solving the pain points of ambiguous identification, uncontrolled location, and disjointed processes in traditional equipment management, thereby improving the precision of management and operational efficiency.

[0008] The technical solution adopted in this invention is:

[0009] The high-precision electrical testing equipment management and control system based on RFID, UWB and Beidou adopts a layered architecture, including equipment layer, network layer, business data layer and presentation layer.

[0010] The equipment layer is used to deploy positioning devices for power testing equipment, including an equipment identification module, a UWB positioning module, and a BeiDou positioning module.

[0011] The network layer is used to transmit data from the device layer to the service data layer, including device gateways, Wi-Fi broadband, and local area networks.

[0012] The business data layer adopts a multi-source data fusion algorithm to obtain accurate equipment information. At the same time, the business data layer integrates management methods for power testing equipment, including warehousing management, requisition approval, outbound management, maintenance management, early warning management, and large screen management.

[0013] The display layer is used to display information within the warehouse, including large display screens, computers, and tablets.

[0014] As a further description of the present invention, the device identification module uses a high-frequency device identification tag.

[0015] As a further description of the present invention, the UWB positioning module collects the location of power equipment in the warehouse in real time through a UWB base station.

[0016] As a further description of the present invention, the coverage area of ​​the UWB base station is 80. Positioning accuracy ≤25cm, using POE power supply.

[0017] As a further description of the present invention, the Beidou positioning module supports BDSB1I / B2I frequency points, with a static positioning accuracy of ±20m, supports RTK differential positioning, dynamic accuracy ≤1m, trajectory recording frequency ≥1 time / 30 seconds, and response time for abnormal locations ≤10 seconds.

[0018] As a further description of the present invention, the data entry management process of the business data layer is as follows:

[0019] S1: Import electronic inbound order.

[0020] S2: Automatically generate equipment identification codes in a one-to-one manner, print equipment identification labels, and affix the labels to the designated locations of the corresponding electrical testing equipment.

[0021] S3: Place the corresponding test equipment into the warehouse.

[0022] Inbound S4: Generate inventory records.

[0023] As a further description of the present invention, the outbound management process of the business data layer is as follows:

[0024] Outbound S1: Submit a requisition request. In the requisition request, you need to select the equipment and maintain the requisition request.

[0025] Outbound S2: Issuance application approval. After the approval process, the approved outbound document is output.

[0026] Outbound S3: Issuance and outbound. Based on the outbound documents in Outbound S2, confirm the outbound equipment and complete the outbound process.

[0027] As a further description of the present invention, the early warning management of the business data layer includes maintenance expiration early warning and equipment abnormal departure early warning, the process of which is as follows:

[0028] Maintenance Warning S1: The task starts at 24:00 every night.

[0029] Maintenance Warning S2: Determines whether the sum of the last maintenance time and the maintenance cycle time is greater than or equal to the current time.

[0030] If the time is greater than or equal to the current time, a maintenance warning will be generated.

[0031] If it is less than the current time, no processing is required.

[0032] Anomaly Warning S1: The task starts at 22:00 every night.

[0033] Anomaly Warning S2: The UWB positioning module scans the labels of in-stock materials to determine if the labels exist.

[0034] If it exists, no action is needed.

[0035] If it does not exist, an exception record will be generated.

[0036] As a further description of the present invention, the specific steps of multi-source data fusion in the business data layer are as follows:

[0037] S1: Preconditions and data definitions for the localization algorithm:

[0038] Set the UWB location data bound to the supplies as follows .

[0039] in: For UWB three-dimensional coordinates. This is the timestamp for UWB data collection.

[0040] This refers to the accuracy indicators for UWB positioning.

[0041] The BeiDou positioning data is set to be associated with the supplies. .

[0042] in: The coordinates are BeiDou 3D coordinates, using the WGS84 coordinate system.

[0043] This is the timestamp for BeiDou data collection.

[0044] This refers to the positioning accuracy indicators for BeiDou.

[0045] The number of visible BeiDou satellites. The BeiDou data is valid.

[0046] Output material location information .

[0047] in: The resulting 3D coordinates.

[0048] To output the timestamp, take the latest timestamp from the merged data.

[0049] This is a precision indicator after fusion, reflecting the reliability of the output position.

[0050] S2: Coordinate system one; if the application scenario is indoors, preset WGS84 coordinate range for the indoor area. , use BeiDou coordinates Convert to an indoor local coordinate system, with a certain point indoors as the origin. The coordinate transformation is performed parallel to the interior layout axis, and the transformation formula is:

[0051] .

[0052] .

[0053] in, The WGS84 coordinates are the origin of the indoor local coordinate system.

[0054] This represents the x-coordinate value in the indoor local coordinate system.

[0055] This represents the y-coordinate value in the indoor local coordinate system.

[0056] If the application scenario is outdoors, convert the UWB coordinates to the WGS84 coordinate system, and ensure that the two coordinate systems are consistent by using the pre-established mapping relationship between the indoor local coordinate system and WGS84.

[0057] S3: Data fusion is performed according to different scenarios.

[0058] S4: Algorithm output and accuracy guarantee; the final output format is as follows:

[0059] Material location information .

[0060] As a further description of the present invention, the specific steps of data fusion in the S3 scenario are as follows:

[0061] S31: Data validity check, which verifies the validity of the input UWB and BeiDou data and excludes invalid data.

[0062] S32: Scene determination, determining whether the scene is indoors, outdoors, or a transitional area.

[0063] S33: Scene-specific location fusion calculation.

[0064] Scenario 1: Indoor scenario, UWB is used first, with BeiDou assisting in calibration, and weighted average logic is adopted.

[0065] Scenario 2: Outdoor scenario, BeiDou is used first, UWB is used for auxiliary correction, and weighted average logic is adopted.

[0066] Scenario 3: Transition region, adaptive weight fusion, introducing scene confidence. Calculate the confidence level of the scenario :

[0067] .

[0068] in: This represents the distance between BeiDou coordinates and UWB coordinates after conversion.

[0069] .

[0070] The x-coordinate value in the WGS84 coordinate system after UWB transformation. This is the y-coordinate value in the WGS84 coordinate system after UWB transformation.

[0071] This represents the minimum deviation in the transition region. This represents the maximum deviation in the transition region.

[0072] when hour, As the environment moves closer to indoors, the weight of UWB increases.

[0073] when hour, As it moves closer to the outdoors, the weight of BeiDou increases.

[0074] Dynamic weights: , .

[0075] in, Dynamic weights for UWB positioning The dynamic weighting for BeiDou positioning integrates coordinates and accuracy: a weighted average logic for scenarios 1 and 2, ultimately... Between between.

[0076] S34: Output optimization, filtering outliers.

[0077] The beneficial effects of this invention are:

[0078] 1. Introduce high-frequency device identification tags as the unique identity carrier of devices to solve the problems of inefficient and easily tampered identification.

[0079] 2. Construct a collaborative sensing architecture that combines RFID identification, UWB indoor positioning, and BeiDou outdoor positioning to achieve seamless tracking of the location of test equipment inside and outside the warehouse, obtain relevant data in a timely manner, and provide data support for management decisions.

[0080] 3. This high-precision power testing equipment management and control system adopts a multi-source data fusion algorithm, using the RFID tag ID as the core index. It integrates the data identified by RFID, i.e., static attributes such as equipment code and model, UWB / BeiDou positioning data, i.e., dynamic attributes such as real-time coordinates and movement trajectory, and business data such as operator, time, and status. The Kalman filter algorithm is used to eliminate noise in the positioning data, achieving a noise suppression rate of ≥85% and reducing the data redundancy rate to below 5%. The fused data supports inventory optimization and fault prediction. Inventory optimization is based on the analysis of equipment usage frequency identified by RFID, which can increase the inventory turnover rate by 15%-20%. Fault prediction is based on maintenance data and positioning trajectory, which can achieve an equipment fault early warning accuracy rate of over 80%.

[0081] 4. This high-precision power testing equipment management and control system establishes a closed-loop business process driven by RFID, constructing a seamless management system that integrates in-warehouse identification, in-warehouse location tracking, and out-of-warehouse trajectory monitoring. Simultaneously, it integrates an intelligent warehouse management platform to automatically collect RFID identification data, location data, and business operation data, generating standardized electronic ledgers. Ultimately, it achieves closed-loop management and control of the entire process from electrical testing equipment warehousing and acceptance to in-warehouse supervision, requisition approval, return verification, and maintenance monitoring. This solves the pain points of ambiguous identification, uncontrolled location, and disconnected processes in traditional equipment management, improving the precision of management and operational efficiency. Attached Figure Description

[0082] Figure 1 This is a system architecture diagram of the present invention.

[0083] Figure 2 This is a system flowchart of the present invention.

[0084] Figure 3 This is a flowchart of the data entry management process for the business data layer of this invention.

[0085] Figure 4 This is a flowchart of the outbound management process for the business data layer of this invention.

[0086] Figure 5 This is a flowchart of the early warning management process for the business data layer of the present invention.

[0087] Figure 6 This is a flowchart illustrating the inventory management and operation record process for the business data layer of this invention.

[0088] Figure 7 This is a flowchart illustrating the multi-source data fusion process of the business data layer of this invention. Detailed Implementation

[0089] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0090] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0091] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0092] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0093] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0094] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0095] like Figures 1-7 As shown, it illustrates a specific embodiment of the present invention:

[0096] Example 1:

[0097] The high-precision electrical testing equipment management and control system based on RFID, UWB and Beidou adopts a layered architecture, including equipment layer, network layer, business data layer and presentation layer.

[0098] The equipment layer is used to deploy positioning devices for power testing equipment, including an equipment identification module, a UWB positioning module, and a BeiDou positioning module.

[0099] The network layer is used to transmit data from the device layer to the service data layer, including device gateways, WIFI broadband, and local area networks.

[0100] The business data layer adopts a multi-source data fusion algorithm to obtain accurate equipment information. At the same time, the business data layer integrates management methods for power testing equipment, including warehousing management, requisition approval, outbound management, maintenance management, early warning management, and large screen management.

[0101] The display layer is used to display information within the warehouse, including large display screens, computers, and tablets.

[0102] In this embodiment, the hardware configuration of the business data layer of the control system is as follows: deploying a platform server to build data acquisition services, data processing services, application services, and database services.

[0103] The data acquisition server is responsible for receiving data from UWB base stations and BeiDou positioning modules.

[0104] The data processing server runs the fusion algorithm.

[0105] The application server provides a visual interface for warehouse managers, and the data storage service is responsible for persistent data storage.

[0106] This high-precision power equipment management system is developed based on Java and Vue languages. Overall, it uses a UWB positioning module to locate the position of electrical equipment inside the warehouse, and a Beidou positioning module to locate the position of electrical equipment outside the warehouse. A data fusion module combines the data from the UWB positioning module and the Beidou positioning module to obtain accurate location data of electrical equipment.

[0107] In this embodiment, the display layer adopts large-screen visual management, which integrates data resources from UWB indoor positioning and BeiDou satellite positioning technologies. The large screen interface displays equipment information and locations in real time through map layers, including internal warehouse maps and external electronic maps. For equipment inside the warehouse, the specific location is marked on the internal warehouse map based on UWB positioning data. For equipment leaving the warehouse, the dynamic location is displayed on the external electronic map based on positioning data transmitted from BeiDou terminals. Simultaneously, the large screen interface refreshes basic equipment information in real time, allowing managers to intuitively grasp the distribution of all equipment and achieve dynamic monitoring of equipment across the entire range and at all times.

[0108] In this embodiment, when actually using the system, system debugging is required, including UWB positioning calibration, BeiDou positioning testing, and data fusion testing.

[0109] The UWB positioning calibration involves marking multiple calibration points on the warehouse floor, using professional positioning calibration tools to collect the actual coordinates and UWB positioning coordinates of each point, and adjusting the base station parameters through algorithms to ultimately achieve a UWB positioning accuracy of ±25 centimeters.

[0110] The BeiDou positioning test was conducted outside the warehouse to verify the positioning accuracy of the BeiDou positioning module in outdoor environments, with the positioning error controlled within ±20 meters.

[0111] The data fusion test simulates scenarios such as equipment moving and entering / exiting the warehouse to test the data fusion algorithm. When the equipment enters the warehouse from an outdoor transport vehicle, the system completes the switch from BeiDou positioning to UWB positioning within 3 seconds, with seamless connection of location information and an error of less than 25 centimeters.

[0112] In summary, in this embodiment, the system uses RFID technology as the core identification carrier, combined with UWB indoor high-precision positioning and BeiDou outdoor positioning, to build a seamless management system that integrates in-warehouse identification, in-warehouse location tracking, and out-of-warehouse trajectory monitoring. Simultaneously, it integrates an intelligent warehouse management platform to automatically collect RFID identification data, location data, and business operation data, generating standardized electronic ledgers. Ultimately, it achieves closed-loop management of the entire process of electrical testing equipment warehousing acceptance, in-warehouse supervision, requisition approval, return verification, and maintenance monitoring, solving the pain points of ambiguous identification, uncontrolled location, and disconnected processes in traditional equipment management, thereby improving the precision of management and operational efficiency.

[0113] Example 2:

[0114] Specifically, the device identification module uses a high-frequency device identification tag.

[0115] In this embodiment, the high-frequency device identification (HF-RFID) tag uses an anti-tamper chip and a 13.56MHz operating frequency to achieve contactless identification of the device. Its single identification time is ≤500ms and the identification accuracy rate reaches 99.9%. At the same time, the tag has a built-in 16-bit encrypted code containing the device code, production date, and supplier code, which can resist data tampering and completely solve the error problem of manual recording or barcode scanning, reducing the mis-collection rate to below 0.5%.

[0116] Specifically, the UWB positioning module collects the location of power equipment in the warehouse in real time through UWB base stations.

[0117] Specifically, the coverage area of ​​the UWB base station is 80. Positioning accuracy ≤25cm, using POE power supply.

[0118] In this embodiment, the actual installation and deployment of UWB positioning base stations are based on the layout of the power equipment warehouse, with one UWB positioning base station installed every 80 square meters on the warehouse ceiling. The base stations are connected to the warehouse's network switch via PoE (Power over Ethernet) to ensure stable power supply and data transmission. Additional auxiliary base stations are deployed at warehouse pillars and shelf corners to enhance signal coverage and eliminate positioning blind spots.

[0119] Affix UWB labels to the enclosure of the electrical testing equipment, ensuring that the labels do not interfere with the normal use and handling of accessories.

[0120] In this embodiment, the Beidou positioning module is installed on the outbound electrical test equipment to identify the location of the equipment when it is in the storage location.

[0121] Specifically, the BeiDou positioning module supports BDSB1I / B2I frequency points, with a static positioning accuracy of ±20m, supports RTK differential positioning, a dynamic accuracy of ≤1m, a trajectory recording frequency of ≥1 time / 30 seconds, and a response time of ≤10 seconds for abnormal locations.

[0122] In this embodiment, RFID serves as the identification tag for power equipment. It achieves location tracking within the warehouse through UWB indoor positioning technology and location tracking outside the warehouse through BeiDou positioning technology. The specific location tracking scenario is as follows.

[0123] In-warehouse scenario: Using RFID tags as identification anchors and linking them with UWB positioning tags, the positioning accuracy is ≤25cm. The location of power equipment is collected in real time through UWB base stations. At the same time, combined with the top view of the warehouse and the front view of the shelves, the time for finding equipment is shortened to 1-2 minutes per unit, realizing efficient in-warehouse management of power equipment.

[0124] In the off-site scenario: the RFID tag ID of the power equipment is bound to the Beidou positioning terminal. The Beidou positioning module used supports BDSB1I / B2I frequency points, with a static positioning accuracy of ±20m. After the power equipment leaves the warehouse, it automatically switches to Beidou positioning mode, supports RTK differential, has a dynamic accuracy of ≤1m, a trajectory recording frequency of ≥1 time / 30 seconds, and an abnormal location, i.e., a deviation from the preset area, has a response time of ≤10 seconds.

[0125] Example 3:

[0126] Specifically, the data ingestion management process for the business data layer is as follows:

[0127] S1: Import electronic inbound order.

[0128] S2: Automatically generate equipment identification codes in a one-to-one manner, print equipment identification labels, and affix them to the designated locations on the corresponding electrical testing equipment.

[0129] S3: Place the corresponding test equipment into the warehouse.

[0130] Inbound S4: Generate inventory records.

[0131] In this embodiment, after the electronic receipt is imported into the receipt S1, the business data layer will simultaneously record the imported document vouchers for the receipt withdrawal process. The specific receipt withdrawal process is as follows:

[0132] Undo S1: Record the imported documents and vouchers.

[0133] S2: Determine whether a business association has been established, including outbound and maintenance.

[0134] S3 Withdrawal: If a business relationship has already been established, withdrawal is not allowed.

[0135] If no business relationship exists, the issue can be resolved by changing the status of the document or reversing inventory, ensuring eventual consistency.

[0136] In this embodiment, after the inventory record is generated by the S4 warehousing process, the electrical testing equipment needs to be bound to the tag of the UWB positioning module and its location updated, and at the same time bound to the terminal of the Beidou positioning module.

[0137] In this embodiment, after the electrical testing equipment is procured and delivered to the warehouse, the warehouse manager logs into the equipment management system and uploads the data to the receiving slip through the system's data import function. The system automatically generates inventory records based on core information such as the equipment model, specifications, quantity, supplier, and receiving location in the receiving slip. Simultaneously, the system generates an RFID code with a unique material identification code.

[0138] The warehouse manager uses the system's RFID tag printing function to print RFID tags and affix them to designated locations on the corresponding electrical testing equipment, ensuring a unique association between the tag and the equipment. Subsequently, based on warehouse zoning and storage rules, the manager selects the appropriate storage location, completing the synchronized process of physical equipment storage and system information entry.

[0139] Meanwhile, by recognizing the administrator's login account information and combining it with the real-time location data of the UWB badge carried by the administrator, the system automatically verifies and records the identity of the operator, and generates a procurement and warehousing ledger containing elements such as basic equipment information, warehousing time, storage location, and operator, thus achieving traceability of the entire procurement and warehousing process.

[0140] In this embodiment, the warehousing management process also includes return warehousing. After the equipment completes on-site operations or maintenance, the user takes it back to the warehouse. Since the equipment has been pre-attached with UWB positioning tags, when the equipment enters the warehouse's UWB positioning coverage area, the system receives the tag signal through the UWB base station and automatically identifies the identity information and status of the equipment to be returned. For equipment whose tags cannot be scanned, the user can add them manually. The user then selects the corresponding storage location in the return warehousing module, confirms the operation, and completes the return warehousing process. During this process, the system also accurately identifies the operator's identity through dual verification of the login account and UWB work badge, updates the equipment status to "in storage" in real time, and generates a return warehousing ledger containing information such as return time, returning personnel, and equipment condition, ensuring a complete record of the equipment's movement trajectory.

[0141] Specifically, the outbound management process of the business data layer is as follows:

[0142] Outbound S1: Submit a requisition request. In the requisition request, you need to select the equipment and maintain the requisition request.

[0143] Outbound S2: Issuance application approval. After the approval process, the approved outbound document is output.

[0144] Outbound S3: Issuance and outbound. Based on the outbound documents in Outbound S2, confirm the outbound equipment and complete the outbound process.

[0145] In this embodiment, users go to the warehouse to pick up the corresponding equipment based on the outbound order generated by the system. Before the outbound operation, the manager verifies the user's identity and the outbound order information in the system. The manager confirms the equipment outbound in the system. Before the system records the transaction, it automatically issues a warning about whether the Beidou terminal is bound. If bound, the equipment status is updated to "outbound". If not bound, a pop-up window appears, and the administrator can choose not to bind it. Afterward, the system generates an outbound log, recording the outbound time, the user, equipment details, Beidou terminal number, and other data, realizing closed-loop management of the outbound process.

[0146] Before the equipment is shipped out, the management personnel need to confirm whether the equipment is bound to the Beidou terminal. If it is not bound, the Beidou terminal needs to be maintained through the UWB and Beidou terminal relationship maintenance module of the equipment.

[0147] The outbound management process also includes the outbound disposal of scrapped items.

[0148] In this embodiment, when electrical testing equipment reaches its preset service life, or when a technical assessment confirms that it cannot meet the usage requirements and has no repair value, the management personnel log in to the system, select the scrapping type in the outbound management module, associate the information of the equipment to be scrapped, fill in the scrapping reason, assessment report number and other relevant explanatory materials, the system completes the equipment scrapping outbound operation, updates the equipment status to scrapped, and generates a scrapping outbound ledger, recording the details of the scrapped equipment, scrapping time, approver and other information, so as to realize the standardized management of scrapped equipment.

[0149] Specifically, the early warning management of the business data layer includes maintenance expiration early warning and equipment abnormal departure early warning, and the process is as follows:

[0150] Maintenance Warning S1: The task starts at 24:00 every night.

[0151] Maintenance Warning S2: Determines whether the sum of the last maintenance time and the maintenance cycle time is greater than or equal to the current time.

[0152] If the time is greater than or equal to the current time, a maintenance warning will be generated.

[0153] If it is less than the current time, no processing is required.

[0154] Anomaly Warning S1: The task starts at 22:00 every night.

[0155] Anomaly Warning S2: The UWB positioning module scans the labels of in-stock materials to determine if the labels exist.

[0156] If it exists, no action is needed.

[0157] If it does not exist, an exception record will be generated.

[0158] In this embodiment, the business data layer also includes a maintenance management module, an expiration maintenance notification module, and a temporary maintenance module.

[0159] The maintenance management module establishes complete equipment maintenance records within the equipment maintenance module, clearly displaying basic ledger information for each piece of equipment, such as equipment code, model, and entry date. It also updates and displays key maintenance data in real time, including the equipment's maintenance cycle setting, last maintenance date, maintenance content, maintenance unit, and maintenance personnel. Administrators can adjust maintenance cycle parameters in the system based on equipment technical requirements and usage frequency. After maintenance is completed, the system can promptly update the last maintenance date and add details such as fault diagnosis results, replacement of repaired parts, and performance test data.

[0160] The overdue maintenance notification module automatically calculates the next maintenance due date for each piece of equipment based on its entry date or last maintenance date, combined with a preset maintenance cycle, and establishes a countdown reminder mechanism. When the equipment is nearing its maintenance due date, such as 7 days in advance, the system automatically triggers an overdue maintenance notification, sending a reminder message to the equipment administrator and maintenance manager via push notification on the management terminal, clearly informing them of the equipment's code, model, and due date.

[0161] The temporary maintenance module allows administrators to initiate temporary maintenance requests when equipment malfunctions during use or requires advance maintenance due to special operational needs. Administrators select the corresponding equipment and fill in the reason for temporary maintenance, such as a description of the malfunction and a description of the advance maintenance request. After the request is submitted, maintenance personnel are assigned to carry out the maintenance work. Upon completion, administrators manually update the maintenance time in the system, detailing the fault handling measures, replacement parts list, and post-maintenance performance test results. The system automatically includes this maintenance record in the equipment maintenance file, updates the equipment maintenance status, and ensures the standardization and traceability of the temporary maintenance process.

[0162] This embodiment also includes an inventory management process.

[0163] Example 4:

[0164] In this embodiment, by fusing higher-precision UWB indoor positioning information with wider-coverage BeiDou positioning information, the limitations of a single positioning method are overcome. In a single positioning method, UWB positioning is effective indoors but ineffective outdoors; BeiDou positioning is effective outdoors but has poor accuracy indoors. By fusing the two methods, the final output is centimeter-level adaptive high-precision location information of materials, with an indoor accuracy approaching 25cm and an outdoor accuracy approaching 20m. The accuracy in the transition area is better than that of BeiDou alone.

[0165] Specifically, the steps for multi-source data fusion in the business data layer are as follows:

[0166] S1: Prerequisites and data definitions for innovative positioning algorithms:

[0167] Set the UWB location data bound to the supplies as follows ,in:

[0168] These are UWB 3D coordinates, in meters (m).

[0169] This is the timestamp for UWB data collection, in milliseconds, and is uniformly converted to UTC time.

[0170] The UWB positioning accuracy specification is fixed at ≤0.25m, which is preset by the equipment parameters.

[0171] The BeiDou positioning data is set to be associated with the supplies. ,in:

[0172] The coordinates are BeiDou 3D coordinates, using the WGS84 coordinate system, and the unit is meters.

[0173] This is the timestamp for BeiDou data collection, in milliseconds (ms), and is uniformly converted to UTC time.

[0174] The BeiDou positioning accuracy indicator is fixed at ≤20m and is output by the equipment.

[0175] The number of visible BeiDou satellites is used to determine outdoor effectiveness. (The BeiDou data is valid at this time).

[0176] Output material location information ,in:

[0177] The resulting 3D coordinates.

[0178] To output the timestamp, take the latest timestamp from the merged data.

[0179] This is a precision indicator after fusion, reflecting the reliability of the output position.

[0180] S2: Coordinate system one.

[0181] If the application scenario is indoors, preset the WGS84 coordinate range of the indoor area. , use BeiDou coordinates Convert to an indoor local coordinate system, with a certain point indoors as the origin. The coordinate transformation is performed parallel to the interior layout axis.

[0182] The conversion formula is:

[0183] .

[0184] .

[0185] in, The WGS84 coordinates used are the origin of the indoor local coordinate system and need to be pre-calibrated. WGS84 is a virtual indoor coordinate system.

[0186] This represents the x-coordinate value in the indoor local coordinate system.

[0187] This represents the y-coordinate value in the indoor local coordinate system.

[0188] If the application scenario is outdoor, convert the UWB coordinates to the WGS84 coordinate system, and ensure that the two coordinate systems are consistent by using the pre-established mapping relationship between the indoor local coordinate system and WGS84.

[0189] S3: Data fusion is performed according to different scenarios.

[0190] Specifically, the steps for data fusion in the S3 scenario are as follows:

[0191] S31: Data validity check, which verifies the validity of the input UWB and BeiDou data and excludes invalid data.

[0192] First, the validity of the input UWB and BeiDou data is determined, and invalid data, such as signal interruption or abnormal timestamp data, is excluded.

[0193] For UWB data validity verification: If the UWB device outputs "Signal Normal" (device status bit indicator) and If the time difference with the current time is ≤100ms (to avoid lagging data), then Valid; otherwise invalid.

[0194] Verification of the validity of BeiDou data: If The number of satellites meets the positioning requirements and If the time difference with the current time is ≤500ms (the BeiDou update frequency is usually 1Hz-10Hz), then Valid; otherwise invalid.

[0195] S32: Scene determination, determining whether the scene is indoors, outdoors, or a transitional area.

[0196] Based on the source of valid data and environmental characteristics, determine the current location of the supplies.

[0197] In an indoor setting: Any of the following conditions must be met:

[0198] UWB data is valid, but BeiDou data is invalid (indoor obstruction caused weak satellite signal).

[0199] UWB data is valid, BeiDou data is valid, but BeiDou coordinates are not. It falls within the preset indoor WGS84 coordinate range.

[0200] In outdoor scenarios: Any of the following conditions must be met:

[0201] The BeiDou data is valid, but the UWB data is invalid (there is no UWB base station coverage outdoors).

[0202] The BeiDou data is valid, the UWB data is valid, but the UWB coordinates (after conversion to WGS84) fall within the preset outdoor area.

[0203] In transitional areas (such as indoor doorways, semi-open spaces):

[0204] The UWB data is valid, the BeiDou data is valid, and the deviation between the BeiDou coordinates and the WGS84 coordinates after UWB conversion is between 5m and 20m (it does not meet the conditions of being purely indoor or purely outdoor).

[0205] S33: Scene-specific location fusion calculation;

[0206] Scenario 1: Indoor scenario, UWB is preferred, with BeiDou assisting in calibration.

[0207] In indoor scenarios, UWB accuracy is much higher than BeiDou. The fusion logic is mainly based on UWB, with BeiDou used to correct UWB cumulative errors (if BeiDou is effective).

[0208] If only UWB is valid: directly output UWB data. .

[0209] If both UWB and BeiDou are effective: a weighted average fusion method is adopted, in which the weight of UWB is much higher than that of BeiDou. The weight is proportional to the accuracy index; the higher the accuracy, the greater the weight.

[0210] Calculate the weights: ; .

[0211] in, Weights for UWB positioning Weighting for BeiDou positioning.

[0212] Merged coordinates: The x-axis is calculated as follows: .

[0213] The y-axis is calculated as follows: .

[0214] The z-axis is calculated as follows: .

[0215] in, This represents the x-coordinate value in the indoor local coordinate system. This represents the y-coordinate value in the local indoor coordinate system. This represents the y-coordinate value in the indoor local coordinate system.

[0216] Fusion accuracy: This is also known as the error synthesis formula.

[0217] Output timestamp: .

[0218] Scenario 2: Outdoor scene, Beidou is used first, with UWB as the auxiliary correction.

[0219] In outdoor scenarios, BeiDou provides complete coverage, while UWB is only effective in areas with base station coverage. The fusion logic is primarily based on BeiDou.

[0220] If only BeiDou is valid: directly output BeiDou data, i.e. .

[0221] If both BeiDou and UWB are effective, such as in outdoor UWB base station coverage areas: the same weighted average fusion is used, with the BeiDou weight dynamically adjusted according to accuracy.

[0222] Calculate the weights: , At this point, UWB still has higher accuracy. Slightly large.

[0223] Merged coordinates: , , These are the WGS84 coordinates after UWB conversion.

[0224] The x-axis is calculated as follows: .

[0225] The y-axis is calculated as follows: .

[0226] The z-axis is calculated as follows: .

[0227] in, The x-value in the WGS84 coordinate system after UWB transformation. This represents the y-value in the WGS84 coordinate system after UWB transformation. This is the z-value in the WGS84 coordinate system after UWB transformation.

[0228] Fusion accuracy: .

[0229] Output timestamp: .

[0230] Scenario 3: Transition region, adaptive weight fusion.

[0231] The signal is unstable in the transition region, and the weights need to be dynamically adjusted to balance the accuracy of both.

[0232] Introducing scene confidence Calculate the confidence level of the scenario :

[0233] .

[0234] in: This represents the distance between BeiDou coordinates and UWB coordinates after conversion.

[0235] .

[0236] The x-coordinate value in the WGS84 coordinate system after UWB transformation. This is the y-coordinate value in the WGS84 coordinate system after UWB transformation.

[0237] This represents the minimum deviation in the transition region. This represents the maximum deviation in the transition region.

[0238] when hour, As the environment moves closer to indoors, the weight of UWB increases.

[0239] when hour, As it moves closer to the outdoors, the weight of BeiDou increases.

[0240] Dynamic weights: , .

[0241] in, Dynamic weights for UWB positioning The dynamic weighting for BeiDou positioning integrates coordinates and accuracy: a weighted average logic for scenarios 1 and 2, ultimately... Between between.

[0242] S34: Output optimization, filtering outliers.

[0243] For the merged coordinates Perform outlier detection to avoid deviations caused by sudden interference.

[0244] Calculate the current fused coordinates and the output coordinates from the previous time step. Distance:

[0245] .

[0246] in, Output coordinates for the previous time step The x value, Output coordinates for the previous time step The y-value.

[0247] like .

[0248] in This refers to the maximum speed at which supplies can be moved, such as when a person is carrying supplies. ; If the current fused coordinates are determined to be outliers, then "previous value smoothing" will be applied.

[0249] .

[0250] If this is the first output, meaning there is no historical data, then the current fused coordinates will be output directly.

[0251] S4: Algorithm output and accuracy guarantee; the final output format is as follows:

[0252] Material location information .

[0253] in:

[0254] Coordinate unit: meter (m), retain 3 decimal places to meet centimeter-level precision display.

[0255] Timestamp: UTC time, formatted as "YYYY-MM-DD HH:MM:SS.sss".

[0256] Accuracy indicators Retain two decimal places, such as 0.25m or 5.80m, to intuitively reflect the reliability of the location.

[0257] The accuracy guarantee mechanism is as follows:

[0258] Real-time calibration: Every hour, using calibration points with known coordinates, such as indoor fixed markers and outdoor BeiDou reference stations, the deviation between UWB and BeiDou is corrected, and the weight calculation parameters are updated.

[0259] Equipment status monitoring: If UWB accuracy or BeiDou accuracy It outputs a "Decreased equipment accuracy" warning, prompting maintenance.

[0260] Data redundancy: If both are invalid, output "Location unknown".

[0261] S5: The limitations of the algorithm are:

[0262] In densely populated areas with tall buildings, such as urban canyons, the accuracy of BeiDou may be less than 20 meters, requiring optimization of weights by incorporating a building occlusion model.

[0263] When materials move at high speeds, such as greater than 10 m / s, timestamp deviations may lead to a decrease in fusion accuracy. This can be resolved by increasing the data sampling frequency (≥20 Hz).

[0264] UWB data is unavailable in areas without base stations because it depends on the indoor coverage of UWB base stations.

[0265] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

[0266] Many other changes and modifications can be made without departing from the concept and scope of this invention. It should be understood that this invention is not limited to the specific embodiments, and the scope of this invention is defined by the appended claims.

Claims

1. A high-precision electrical test equipment management and control system based on RFID, UWB and Beidou, adopting a layered architecture, characterized in that, The device layer, the network layer, the service data layer, and the display layer are included. The device layer is used for arranging a power test device positioning device, and includes a device identity recognition module, a UWB positioning module, and a Beidou positioning module. The network layer is used for transmitting data of the device layer to the service data layer, and includes a device gateway, WIFI broadband, and a local area network. The service data layer adopts a multi-source data fusion algorithm to obtain accurate device information, and integrates a power test device management method, including warehouse-in management, warehouse-out management, early warning management, and inventory management. The specific process of the multi-source data fusion algorithm is as follows: S1: precondition and data definition of the positioning algorithm; S2: coordinate system unification; S3: data fusion in different scenes; S31: data validity check, validity of input UWB and Beidou data is judged, and invalid data is excluded; S32: scene judgment, whether the scene is indoor, outdoor or a transition area is judged; S33: scene-based position fusion calculation, If only UWB is active: output UWB data directly, , Scene 1: indoor scene, UWB is preferred, Beidou is used for auxiliary calibration, and a weighted average logic is adopted; Computing weights: ; ; Fusion coordinates: the calculation for the x-axis is: , The calculation of the y-axis is: , The calculation of the z-axis is: ; Fusion accuracy: ; Output timestamp: ; If both UWB and Beidou are valid, a weighted average fusion method is adopted, and the weight of UWB is higher than that of Beidou, If only Beidou is effective: directly output Beidou data, that is ; Scene 2: outdoor scene, Beidou is preferred, UWB is used for auxiliary correction, and a weighted average logic is adopted; Computing the weights: , ; Fused coordinates: , , are WGS84 coordinates converted from UWB The calculation of the x-axis is: , The calculation of the y-axis is: , The calculation of the z-axis is: ; Fusion accuracy: ; Output timestamp: ; Scenario 3: Transition area, adaptive weight fusion, introduce scene confidence , calculate scene confidence : ， wherein: is the distance between the Beidou coordinate and the converted coordinate ， is the minimum deviation for the transition region, is the maximum deviation for the transition region, When time, , approaching the room, UWB weight increases, When , , the weight of Beidou increases as it approaches the outdoors; Dynamic weights: , ; Fusion coordinates and precision: weighted average logic as in scenarios 1, 2, final between ​ If both Beidou and UWB are valid, a weighted average fusion is adopted, and the weight of Beidou is dynamically adjusted according to the accuracy; S34: output result optimization, abnormal values are filtered; Material location information ; S4: algorithm output and accuracy guarantee, the final output format is: 2.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou according to claim 1, characterized in that, The display layer is used for displaying information in the warehouse, and includes a display screen, a computer, and a tablet computer. 3.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 1, characterized in that, The device identity recognition module adopts a high-frequency HF-RFID tag. 4.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 3, characterized in that, The coverage of the UWB base station is 80 m, the positioning accuracy is less than or equal to 25 cm, and a POE power supply mode is adopted. 5.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 1, characterized in that, The UWB positioning module collects the position of the power device in the warehouse in real time through a UWB base station. 6.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 1, characterized in that, The Beidou positioning module supports BDS B1I / B2I frequency points, and has a static positioning accuracy of ±20 m, supports RTK difference, a dynamic accuracy of ≤1 m, a trajectory recording frequency of ≥1 time / 30 seconds, and a response time of abnormal position of ≤10 seconds. The warehouse-in management process of the service data layer is as follows: Warehouse-in S1: electronic warehouse-in single import, Warehouse-in S2: RFID codes are automatically generated in a one-to-one manner, RFID tags are printed, and the tags are pasted on specified positions of corresponding electrical test devices, Warehouse-in S3: the corresponding test device is placed in the warehouse, 7.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou according to claim 1, characterized in that, Warehouse-in S4: a warehouse inventory record is generated. The warehouse-out management process of the service data layer is as follows: Warehouse-out S1: an application for taking out is submitted, the device needs to be selected in the application, and the application is maintained, Warehouse-out S2: application for taking out is approved, and a passed application for taking out is output after the approval process, 8.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 1, characterized in that, Warehouse-out S3: the device is taken out according to the passed application for taking out, and the warehouse-out is completed. The early warning management of the service data layer includes maintenance expiration early warning and device abnormal departure early warning, and the process is as follows: Maintenance early warning S1: a task is started at 24:00 every night, Maintenance early warning S2: whether the sum of the last maintenance time and the maintenance cycle time is greater than or equal to the current time is judged, If yes, a maintenance early warning is generated, If less than the current time, no need to process; Abnormal early warning S1: start the task at 22 o'clock every night, Abnormal early warning S2: UWB positioning module scans the warehouse material label, judges whether the label exists, If it exists, no need to process, If it does not exist, generate an exception record. 9.The high-precision electrical test equipment management and control system based on RFID, UWB and Beidou of claim 1, characterized in that, The precondition of the positioning algorithm in S1 and the process of data definition are: The UWB positioning data of the set material binding is , wherein: is the UWB three-dimensional coordinate, UWB data acquisition timestamp, UWB positioning accuracy index; The Beidou positioning data of the material binding is set as , wherein: is the three-dimensional Beidou coordinate, using the WGS84 coordinate system, For Beidou data collection timestamp, The Beidou positioning accuracy index is used as the target value. the number of visible Beidou satellites, when Beidou data is valid; Output item location information , wherein: is the three-dimensional coordinate after fusion, To output the timestamp, take the latest timestamp of the fused data, The post-fusion precision index reflects the reliability of the output position. The process of coordinate system in S2 is: If the application scenario is indoor, the WGS84 coordinate range of the preset indoor area Convert the Beidou coordinates to the indoor local coordinate system, taking a certain point in the indoor area as the origin, The axis is parallel to the indoor layout, and the coordinate conversion formula is: ， ， wherein WGS84 coordinates of the origin of the indoor local coordinate system, If the application scenario is outdoor, convert the UWB coordinate into the WGS84 coordinate system, and through the mapping relationship between the pre-established indoor local coordinate system and WGS84, ensure the consistency of the two coordinate systems.

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