Detection and identification method and equipment of intelligent storage cabinet, medium and program product

Abstract

The invention provides a detection and identification method and equipment of an intelligent storage cabinet, a medium and a program product, and relates to the technical field of intelligent identification. The method comprises the following steps: reading an RFID tag of a target electricity meter by using an RFID reader-writer at the top in an electricity meter storage cabinet to obtain first electricity meter information, and scanning an electricity meter identification code by using a scanning device in the cabinet to obtain second electricity meter information; and then verifying whether the two are matched, if not, inputting an electric meter image acquired by image acquisition equipment in the storage cabinet into a preset depth identification model (the model is formed by training a plurality of electric meter image samples in different environments), and obtaining final electric meter information containing the type and state of the electric meter. And if the final electricity meter information is matched with the first or second electricity meter information, storing and sending the final electricity meter information to the cloud server. According to the multi-level information acquisition and verification mode, information errors caused by single information source errors or environmental interference are reduced, and the accuracy of electricity meter information identification is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent identification technology, and in particular to a detection and identification method, device, medium and program product of an intelligent storage cabinet. Background Art

[0002] In today's society, electricity, as a key energy source, plays an indispensable role in people's production and life. With the continuous development of the power system and the advancement of smart grid construction, the number of electricity meters has increased dramatically, and the demand for meter storage management has become increasingly prominent. Accurate and efficient management of meter storage, including meter identification, location tracking, status monitoring, etc., is of great significance to ensure the stability and reliability of power supply.

[0003] At present, in order to achieve intelligent storage detection of electric meters, existing technical solutions have taken various measures. Some storage detection systems use barcode or QR code technology to paste it on the electric meter, and then scan it with a special scanning device to obtain relevant information of the electric meter. For example, in some small power management places, staff use handheld scanning devices to scan the QR codes on the electric meter one by one to record basic information such as the model and production date of the electric meter.

[0004] However, barcodes and QR codes are easily affected by dust, scratches, moisture and other factors in actual use environments and become contaminated. Once contaminated, it is difficult for scanning devices to accurately identify them, which leads to deviations in information acquisition. Therefore, it is difficult for existing technologies to accurately determine the storage status of electric meters in storage cabinets in complex environments. Summary of the invention

[0005] The present application provides a detection and identification method, device, medium and program product of a smart storage cabinet, which are used to accurately and efficiently identify the information of electric meters in the smart storage cabinet and realize refined management of the electric meters.

[0006] In the first aspect, the present application provides a detection and identification method for a smart storage cabinet, which is applied to a detection and identification device, the method comprising: reading the RFID tag of a target meter under different environmental conditions by an RFID reader / writer arranged at the top of the meter storage cabinet to obtain first meter information; scanning the meter identification code of the target meter under different environmental conditions by a scanning device pre-arranged in the meter storage cabinet to obtain second meter information; verifying whether the second meter information matches the first meter information; if not, determining the meter image of the target meter under different environmental conditions according to an image acquisition device arranged inside the storage cabinet; inputting the meter image into a preset deep recognition model to obtain final meter information of the target meter, the meter information at least including the meter model and the meter status, the deep recognition model being trained in advance based on multiple meter image samples under different environmental conditions; if the final meter information matches the first meter information or the second meter information, the final meter information is saved and sent to a cloud server.

[0007] By adopting the above technical solution, the information of the target meter is obtained in different ways in the meter storage cabinet. The information is first obtained and verified using the RFID reader and scanning device. When there is a mismatch, the meter information is further determined using the image acquisition device and the deep recognition model. This multi-level information acquisition and verification method can improve the accuracy of meter information recognition and reduce information errors caused by single information source errors or environmental interference, thereby ensuring the accuracy of meter information in the storage cabinet.

[0008] In combination with some embodiments of the first aspect, in some embodiments, after the step of inputting the meter image into a preset deep recognition model to obtain the final meter information of the target meter, it also includes: determining the meter location information based on the final meter information; determining the temperature and humidity data in the meter storage cabinet through a sensor module arranged in the meter storage cabinet; determining fault warning information based on the temperature and humidity data, the fault warning information at least including the meter location information; and sending the fault warning information to the monitoring end.

[0009] By adopting the above technical solutions, managers can know the location of the electricity meter and possible faults caused by abnormal temperature and humidity in real time, make preparations in advance, and avoid the expansion of faults.

[0010] In combination with some embodiments of the first aspect, in some embodiments, after the step of determining the meter location information according to the final meter information, it also includes: determining the vacant storage position according to the meter location information; controlling the indicator light corresponding to the vacant storage position to provide a vacant prompt.

[0011] By adopting the above technical solution, the staff can quickly and intuitively understand the storage situation in the storage cabinet, thereby improving the space utilization rate of the storage cabinet. When a new meter needs to be stored, there is no need to spend time looking for an empty space, thus reducing the operation time.

[0012] In combination with some embodiments of the first aspect, in some embodiments, before the step of obtaining the first meter information by reading the RFID tag of the target meter under different environmental conditions through an RFID reader / writer arranged at the top of the meter storage cabinet, it also includes: determining the operation of the meter storage cabinet by people in a set area through a camera arranged at a preset position of the meter storage cabinet.

[0013] By adopting the above technical solution, the operation of the storage cabinet can be effectively monitored to prevent unauthorized or improper operations and ensure the safety of meter storage. By real-time monitoring of personnel's operation of the meter storage cabinet, if any abnormal situation occurs, it can be discovered and measures can be taken in time to avoid problems such as meter loss, damage or information leakage due to human factors, thus creating good conditions for the safe storage of meters.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after the step of inputting the meter image into a preset deep recognition model to obtain the final meter information of the target meter, it also includes: determining whether the meter model in the final meter information matches the model preset rule of the meter storage cabinet; if it does not match, determining the model abnormality and sending the model abnormality to the monitoring end for display.

[0015] By adopting the above technical solution, it is helpful to discover model mismatch problems in a timely manner and avoid storage confusion or possible damage to the meter and storage cabinet caused by incorrect placement.

[0016] In combination with some embodiments of the first aspect, in some embodiments, if the final meter information matches the first meter information or the second meter information, then after the step of saving and sending the final meter information to the cloud server, it also includes: extracting the storage time of the target meter in the final meter information; judging whether the storage time of the target meter exceeds the preset time in combination with the current time; if exceeded, sending the meter location information and over-long storage prompt information of the target meter to the monitoring end.

[0017] By adopting the above technical solution, the aging and damage problems that may occur in the long-term storage of electric meters can be avoided. Timely reminders of excessive storage can inform managers and allow them to take corresponding measures on the electric meters, such as inspection, maintenance or adjustment of storage strategies, to ensure that the performance of the electric meters is not affected by long-term storage.

[0018] In combination with some embodiments of the first aspect, in some embodiments, if the final meter information matches the first meter information or the second meter information, then after the step of saving and sending the final meter information to the cloud server, it also includes: after receiving the final meter information of multiple target meters, determining a meter statistical report based on the final meter information, the meter statistical report at least includes the quantity distribution of meters of different models and the quantity distribution of meters in different states; and sending the meter statistical report to the monitoring end.

[0019] By adopting the above technical solution, management personnel can fully understand the overall situation of the electric meters in the storage cabinet and intuitively grasp the distribution of electric meter resources.

[0020] In a second aspect, the present application provides a detection and identification device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the detection and identification device to perform the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, the present application provides a computer-readable storage medium comprising instructions, which, when executed on a detection and identification device, causes the detection and identification device to execute the method described in the first aspect and any possible implementation of the first aspect.

[0022] In a fourth aspect, the present application provides a computer program product, which, when executed on a detection and identification device, enables the detection and identification device to execute the method described in the first aspect and any possible implementation manner of the first aspect.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The technical means of acquiring and verifying meter information by combining RFID readers, scanning equipment, image acquisition equipment and deep recognition models in the meter storage cabinet is adopted. Therefore, the technical problems of single meter information acquisition, susceptibility to interference and errors leading to inaccuracy in the prior art are effectively solved, thereby achieving the technical effect of improving the accuracy of meter information recognition and providing reliable data for subsequent management and monitoring.

[0024] 2. Since the technical means of determining the free storage position based on the meter location information and prompting through indicator lights is adopted, the technical problems of the existing technology that it is difficult to quickly know the free position of the meter storage cabinet and the low storage management efficiency are effectively solved, thereby achieving the technical effect of enabling staff to quickly understand the storage situation, improving the space utilization of the storage cabinet and the convenience of storage management.

[0025] 3. Due to the technical means of generating a statistical report on the distribution of the number of meters of different models and states according to the final meter information of multiple target meters and sending it to the monitoring end, the technical problem that managers in the existing technology cannot fully and intuitively grasp the overall situation of meter storage and lack of data basis for management decisions is effectively solved, thereby achieving the technical effect of improving management efficiency, providing a strong basis for resource allocation and decision-making, and ensuring the scientific and rational management of meter storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a detection and identification method of a smart storage cabinet in an embodiment of the present application; Figure 2 is another flowchart of the detection and identification method of the smart storage cabinet in the embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of the detection and identification device in the embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0028] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0029] For ease of understanding, the following is a description of the process of the method provided by this implementation. Figure 1 , which is a flow chart of the detection and identification method of the smart storage cabinet in the embodiment of the present application.

[0030] S101, reading the RFID tags of target electric meters under different environmental conditions by an RFID reader / writer arranged on the top of the electric meter storage cabinet to obtain first electric meter information; First of all, the selection of RFID readers is crucial. The staff needs to choose UHF RFID readers with high sensitivity and adaptability, so that they can effectively communicate with the RFID tag of the target meter within a certain distance, and at the same time have good anti-interference ability and can adapt to various electromagnetic environment interferences that may exist in the meter storage cabinet.

[0031] In terms of installation position, it is set at the top of the meter storage cabinet. This position can achieve relatively uniform coverage of the meters at various positions in the storage cabinet. In order to ensure that the antenna of the reader can accurately send signals to the target meter and receive the reflected tag information, the radiation direction and gain of the antenna need to be accurately adjusted. When the detection and identification equipment reads the target meter RFID tag under different environmental conditions, it is necessary to consider a variety of environmental factors. Temperature is an important factor. The temperature in the meter storage cabinet may vary within a large range. In a low temperature environment, the performance of electronic components may decline, resulting in the reader's transmission power and receiving sensitivity being affected. Therefore, it is necessary to design the reader for temperature compensation, use a temperature sensor to monitor the ambient temperature in real time, and automatically adjust the working parameters of the reader through the built-in control circuit to ensure that the tag information can still be read normally in a low temperature environment. In a high temperature environment, the heat dissipation problem must be properly solved. Heat dissipation fins can be designed on the reader housing or active heat dissipation methods can be adopted, such as installing a small fan, to ensure that the reader will not fail or perform poorly due to overheating at high temperatures. Humidity is also an environmental factor that cannot be ignored. High humidity may cause problems such as moisture and short circuits in electronic components. A sealed design can be used to prevent water vapor from entering the internal circuit. At the same time, in circuit design, moisture-proof coatings can be used to treat key electronic components to improve their moisture resistance. When the reader sends a radio frequency signal to the RFID tag of the target meter, the tag receives the signal through the antenna and processes the signal using its own chip. Important information such as the meter's unique identification code is stored in the tag chip. After the reader receives the modulated signal reflected by the tag, it extracts the meter information contained therein through a series of complex signal processing processes such as demodulation and decoding. This is the first meter information we need, which will provide important basic data for subsequent meter identification and management.

[0032] In some embodiments, in order to accurately monitor the operation of personnel in the set area of ​​the meter storage cabinet, it is necessary to select a suitable camera. Considering that the storage cabinet may be under different lighting conditions, the camera should have good low-light performance. A main camera can be installed above the front of the meter storage cabinet, and its viewing angle can cover the entire operating area of ​​the storage cabinet, including the cabinet door, operation panel and other positions. This camera is mainly used to capture the front operation actions of personnel, such as swiping a card, entering a password, opening the cabinet door and other behaviors. An auxiliary camera is installed on the side or back of the storage cabinet (the number and position are determined according to the layout of the storage cabinet and the actual monitoring needs) to supplement the blind spot of the main camera's viewing angle to ensure all-round monitoring without blind spots. The camera continuously collects images in the set area at a preset frame rate. The collected image data is transmitted to the detection and recognition device via a wired network or a wireless network. After receiving the image data, the detection and recognition device uses image recognition and analysis algorithms to analyze the behavior of personnel. First, target detection is performed to identify the personnel and key components of the meter storage cabinet (such as cabinet doors, operation buttons, etc.) in the image. Then, the interaction between the personnel and the storage cabinet is determined by tracking the movement trajectory and action posture of the personnel. The detection and identification equipment records and saves the personnel's operation data on the meter storage cabinet for subsequent query, audit and analysis.

[0033] S102, scanning the meter identification code of the target meter under different environmental conditions by a scanning device pre-installed in the meter storage cabinet to obtain second meter information; The selection of scanning equipment should be based on the type of meter identification code and the environmental characteristics of the storage cabinet. If the meter identification code is a one-dimensional code or a two-dimensional code, we will use a high-precision laser scanner or an image barcode scanner. The laser scanner uses a laser beam to scan the barcode. It has a fast scanning speed and can accurately read the barcode information in a short time. The image barcode scanner uses a camera to capture the barcode image and then uses an image recognition algorithm to parse the barcode content. This scanner has a good fault tolerance for damaged and deformed barcodes.

[0034] Since the meters are stored in layers and partitions in the storage cabinet, in order to ensure that each meter identification code can be effectively scanned, we can install scanning equipment on the top and side of each storage layer. The scanning equipment on the top can be installed at a certain angle downward to cover the meter below. The scanning equipment on the side can be installed on the edge of the storage layer partition to scan the meter identification code close to the side. This multi-directional installation method can reduce the scanning blind area and improve the scanning coverage. When the scanning device detects that there is a meter identification code in the set area, it starts scanning. For the image scanner, the camera is first used to collect an image containing the meter identification code. The collected image may have problems such as noise and uneven lighting. Therefore, the image needs to be preprocessed. The median filter and other methods are used to remove the noise in the image, and the contrast of the image is adjusted by histogram equalization to make the image clearer. Then, the image is binarized and converted into black and white to highlight the outline of the identification code, which is convenient for subsequent recognition algorithm processing. In the recognition process, it is also necessary to perform fault tolerance processing for the identification code that may be partially damaged or contaminated. Through the error correction coding algorithm, some erroneous information in the identification code is corrected to improve the accuracy of recognition. After these steps, the scanning device successfully obtains the information contained in the meter identification code, that is, the second meter information.

[0035] S103, verifying whether the second electric meter information matches the first electric meter information; The detection and identification device first receives the first meter information from the RFID reader and the second meter information from the scanning device. This information may be transmitted in different data formats and encoding methods. The detection and identification device needs to parse and organize the received data and convert it into an internally processable format. Since the first meter information and the second meter information come from different sources, there may be differences in data structure and representation. The detection and identification device will normalize this information so that it has a unified format. According to the characteristics of the meter information, the detection and identification device establishes detailed matching rules. For the key information of the meter number, a complete match is required because it is the unique identifier of the meter. For other information, such as production batch, model code, etc., matching rules are set according to actual conditions. The production batch may allow a certain range of errors, for example, batches within the same production cycle can be considered as matching; the model code requires strict consistency to ensure that it is the same type of meter.

[0036] Then use the comparison algorithm to compare the normalized first meter information and the second meter information field by field. During the comparison process, the detection and identification device needs to consider possible errors. For example, due to environmental interference or equipment accuracy problems, some information may be partially different. For this case, a similarity calculation method can be used to set a reasonable similarity threshold. If the similarity exceeds the threshold, the information is considered to match within an acceptable range. At the same time, the detection and identification device records the comparison results, including information such as which fields are successfully matched, which fields have differences, and the degree of the differences.

[0037] If the second electric meter information matches the first electric meter information, step S104 is executed; If the second electricity meter information does not match the first electricity meter information, step S105 is executed.

[0038] S104, determining the second electric meter information as final electric meter information; When the second meter information matches the first meter information, the server performs an operation to determine the second meter information as the final meter information. In this process, the server first performs a comprehensive integrity check on the successfully matched second meter information. It traverses each data field in the second meter information, including but not limited to the meter number, production batch, model code, production date, etc., to ensure that each field exists and is in the correct format. For example, the meter number should comply with specific encoding rules, and the length and character composition should be within the specified range; the production batch should follow the preset naming specifications to facilitate subsequent effective production tracking and management.

[0039] S105, determining the meter image of the target meter under different environmental conditions according to an image acquisition device disposed inside the storage cabinet; When the second meter information does not match the first meter information, the server starts the image acquisition device to acquire the meter image. The server first sends a command to the image acquisition device to trigger it to start working. After receiving the command, the image acquisition device will capture the image according to the preset acquisition parameters. These acquisition parameters, including shooting angle, resolution, exposure time, etc., are all pre-set to ensure that a clear, complete and representative meter image can be obtained. During the image acquisition process, the detection and recognition device will monitor the working status of the image acquisition device in real time, including whether the device is operating normally, acquisition progress, image quality, etc. If the image acquisition device is found to have a fault (such as device connection interruption, lens failure, etc.) or the quality of the acquired image does not meet the requirements (such as blurred image, uneven brightness, occlusion, etc.), the server will issue an alarm in time and try to re-acquire the image or adjust the acquisition parameters.

[0040] In order to adapt to different environmental conditions, the image acquisition device is equipped with a variety of environmental adaptation functions. In a dark environment, the image acquisition device will automatically start auxiliary lighting devices, such as infrared lights or LED fill lights, to provide sufficient light for shooting. At the same time, the lens of the image acquisition device uses a special coating technology that can reduce light reflection and scattering, and improve the contrast and clarity of the image. In high temperature or high humidity environments, the shell of the image acquisition device is made of high temperature resistant and moisture-proof materials, and the internal circuit is also specially protected to ensure that the device can operate stably and is not affected by environmental factors.

[0041] S106, inputting the meter image into a preset deep recognition model to obtain final meter information of the target meter, where the meter information at least includes a meter model and a meter status, and the deep recognition model is trained in advance based on a plurality of meter image samples under different environmental conditions; The server inputs the preprocessed meter image into the preset deep recognition model. Before input, the server will standardize the image format and size to make it meet the input requirements of the deep recognition model. The deep recognition model is a neural network model built based on deep learning technology. It has been trained with a large number of meter image samples under different environmental conditions and has strong meter feature recognition capabilities.

[0042] The model first extracts features from the input meter image. It automatically identifies key features in the image, such as the outline of the chart, the text area, the indicator light status, etc. For the identification of the meter model, the model focuses on the model identification area on the surface of the meter, and determines the meter model by identifying the text and matching the features in this area. In the text recognition process, the model uses advanced optical character recognition (OCR) technology, which can accurately identify text in various fonts, sizes and angles. At the same time, the model will also make a comprehensive judgment based on the overall appearance characteristics, size ratio and other information of the meter to improve the accuracy of model recognition. For example, if the model identification part of a meter is stained or blurred, the model can infer its possible model through its unique appearance shape and other features. For the judgment of the meter status, the model analyzes the meter's display information, indicator light status, and whether there are any abnormalities in the appearance. If there are error codes or warning messages on the meter's display, the model can identify and parse these messages to determine the specific fault status of the meter. For example, if "Err01" is displayed on the display, the model can determine that the meter may have a problem of overvoltage based on the pre-set error code library. For the indicator light status, the model will identify the indicator light's color, flashing frequency and other features. Different colors and flashing modes usually correspond to different meter states. For example, a solid red light may indicate a meter failure, while a flashing green light may indicate normal operation but with data transmission. In addition, the model will also check whether the meter's appearance shows signs of damage, deformation, or burning. These appearance abnormalities can also reflect the meter's status.

[0043] S107: If the final electricity meter information matches the first electricity meter information or the second electricity meter information, the final electricity meter information is saved and sent to the cloud server.

[0044] After receiving the final meter information, the server will match and verify it again with the first meter information and the second meter information. The server uses an accurate matching algorithm to compare each field in the final meter information with the first meter information and the second meter information one by one. For example, for the meter number, it is required to be completely consistent; for the meter model, not only the model code must be the same, but also the detailed information such as the model version and specifications must be matched; for the meter status, the consistency of the status description and related parameters must be ensured. If the final meter information matches the first meter information or the second meter information, the server will encrypt the final meter information. Using advanced encryption algorithms, sensitive data in the meter information (such as meter number, user information, etc.) is encrypted to ensure the security of data during transmission and storage. The encrypted final meter information will be stored in the local database, and subsequent detection and identification equipment can establish an efficient indexing mechanism based on the key features in the meter information (such as meter number, model, etc.) so that the meter information can be quickly queried and retrieved later, which can greatly improve the speed of data query and meet the needs of large-scale meter management. After that, the detection and identification device packages the final meter information according to the interface format and data protocol specified by the cloud server to ensure that the data can be transmitted to the cloud server correctly. After receiving the final meter information, the cloud server will decrypt and verify the data. The cloud server uses the same decryption key as the server to decrypt the encrypted data, and then verifies the integrity and accuracy of the decrypted meter information. After verification, the cloud server stores the final meter information in its distributed storage system.

[0045] In the embodiments of the present application, the accuracy and reliability of the acquisition of meter information and the intelligent level of meter management can be effectively improved, and the problems of error-prone, inaccurate and extensive management of meter information identification in the prior art can be effectively solved, thereby achieving technical effects such as accurate identification of meter information, efficient management and effective monitoring of the meter storage environment.

[0046] In some embodiments, after the detection and identification device obtains the final meter information of the target meter, the key information of the storage warehousing time can be parsed therefrom, and the detection and identification device obtains the current system time, which can be obtained from the built-in clock module of the device, and the clock module is synchronized with the network time server to ensure the accuracy of the time. Then, the time difference between the current time and the storage warehousing time is calculated to obtain the storage time of the target meter. The detection and identification device pre-sets a preset time, which is determined based on factors such as the characteristics of the meter, storage conditions, and management requirements. The detection and identification device constructs an over-long storage prompt information, which includes the meter location information and prompt content of the target meter. The meter location information can be the specific location coordinates of the meter in the storage cabinet previously determined (such as layer number, partition number, location sequence number) or other identification information that can accurately locate the meter. The prompt content clearly states that the meter has been stored for too long, for example, "The meter [specific number] has been stored for too long, the current storage time is **, please deal with it in time." If the storage time exceeds the preset time, the detection and identification device will send an excessive storage prompt information to the monitoring end through the established communication connection.

[0047] In some embodiments, when the detection and identification device receives the final meter information of multiple target meters, it will first collect and organize this information. These final meter information contains key data such as the model and status of each meter. The detection and identification device will traverse the meter model field in all the final meter information, and for each model of meter, the device will count and count. At the same time, the device will pay attention to the meter status field, and count the number of meters in different states such as normal operation, failure, and warning. According to the above statistical results, the detection and identification device generates a meter statistical report. The report includes at least the number distribution of meters of different models and the number distribution of meters in different states. The format of the report can be in a table form, clearly listing the number of meters of each model and the number of meters in each state, or it can be in a chart form, such as a bar chart intuitively showing the comparison of the number of meters of different models, and a pie chart showing the proportion of meters in different states, so that managers can view and analyze more intuitively. The detection and identification device sends the meter statistical report to the monitoring end through the established communication connection. After receiving the meter statistical report, the monitoring end will unpack and parse the data. The data in the report is extracted and displayed to the management personnel in an appropriate manner, so that the management personnel can fully and intuitively understand the overall situation of the electric meters in the storage cabinet, providing a strong basis for management decisions.

[0048] After combining the above embodiments, the method provided by this embodiment is further described in more detail below. Figure 2 , is another flow chart of the detection and identification method of the smart storage cabinet in the embodiment of the present application.

[0049] S201, determining the location information of the electric meter according to the final electric meter information; The detection and identification device pre-stores the detailed layout information of the meter storage cabinet, including the number of layers of the storage cabinet, the number of partitions on each layer, and the meter storage rules in each partition. For example, the storage cabinet is divided into 5 layers, each layer has 10 partitions, and each partition can store 10 meters. The detection and identification device determines the specific layer number, partition, and position number of the meter in the partition according to the position code in the meter identification information read and the storage cabinet layout. With the upper left corner of the storage cabinet as the origin (0, 0), establish a two-dimensional or three-dimensional coordinate system (if the storage cabinet has multiple layers, it is a three-dimensional coordinate system, including the layer number, horizontal position, and vertical position).

[0050] According to the layer number, partition number and position number of the electric meter in the storage cabinet, the specific position coordinates of the electric meter in the coordinate system are calculated. For example, a certain electric meter is located at the 3rd layer, the 5th partition and the 3rd position in the partition. In the two-dimensional coordinate system (assuming that the electric meters are arranged horizontally in each partition), its coordinates may be expressed as (5, 3), and if it is a three-dimensional coordinate system, it may be expressed as (3, 5, 3). The detection and identification device records the determined electric meter location information, and the format can be "electric meter number-location coordinates (layer number, partition number, position number)". Through the above steps, the detection and identification device can accurately determine the electric meter location information based on the final electric meter information, and provide basic data for further management operations such as determining free storage locations and monitoring the status of electric meters.

[0051] S202, determining an available storage location according to the electric meter location information; The detection and identification device pre-stores the complete layout structure data of the meter storage cabinet, including the total number of layers, the number of partitions on each layer, the number of meters that can be accommodated in each partition, etc. The detection and identification device marks the storage locations occupied by the meters based on the previously determined meter location information, and checks each partition and each location in turn according to the layout order of the storage cabinet to find out the locations that are not marked as occupied, which are the vacant storage locations.

[0052] S203, controlling the indicator light corresponding to the vacant storage location to provide a vacant prompt; The detection and identification device stores the correspondence data between each storage position and the corresponding indicator light in the storage cabinet. An indicator light can be installed above each meter position in each partition, and these indicator lights are connected to the detection and identification device through a circuit, and the detection and identification device can control the state of each indicator light individually. For the determined free storage position, the detection and identification device sends a control signal to the corresponding indicator light according to the pre-established correspondence. For example, if the second position of the third partition on the fifth floor is a free storage position, the detection and identification device will send a signal to the indicator light corresponding to the position, instructing it to provide a free prompt. The indicator light that receives the control signal will be displayed in a specific way to prompt the staff that the position is free. A common way may be to turn on a green light (assuming that green means free), or to flash a green light at a certain flashing frequency, etc. In this way, when the staff checks the storage cabinet, they can intuitively see which positions can be used to store new meters, thereby improving the efficiency of storage cabinet space management.

[0053] S204, determining the temperature and humidity data in the electric meter storage cabinet by means of a sensor module disposed in the electric meter storage cabinet; Multiple temperature and humidity sensors are installed in the meter storage cabinet. These sensors are distributed in different locations to ensure that the temperature and humidity conditions in each area of ​​the storage cabinet can be accurately monitored. The sensor module automatically collects temperature and humidity data at preset time intervals (for example, every 5 minutes). The sensor measures the temperature and humidity values ​​of the surrounding environment through built-in sensing elements, such as temperature sensors that use the characteristics of thermistors that change with temperature, and humidity sensors that use the characteristics of capacitive or resistive humidity sensitive elements, and converts these analog signals into digital signals. The sensor module transmits the collected temperature and humidity digital data to the detection and identification device. The detection and identification device receives this data through a communication interface (such as an I / O interface) connected to the sensor module.

[0054] S205, determining fault warning information according to the temperature and humidity data, where the fault warning information at least includes the location information of the electric meter; The detection and identification device pre-stores the temperature and humidity threshold range for the storage environment of the meter. For example, the normal temperature range is set to 15℃-30℃, and the normal relative humidity range is set to 40%-60%. These thresholds are determined based on the performance and storage requirements of the meter. Exceeding this range may affect the normal operation of the meter or shorten its service life. The detection and identification device compares the temperature and humidity data collected in real time with the set thresholds. When the temperature is not within the set temperature threshold range, or the relative humidity is not within the preset humidity range, the detection and identification device begins to determine the fault warning information. Since the temperature and humidity sensors are distributed in different positions in the storage cabinet, the detection and identification device determines the location of the meter that may be affected by abnormal temperature and humidity based on the location information of the sensor. For example, if the sensor of a certain partition detects that the temperature is too high, the location of the meter in the partition and the adjacent partition may be affected. The detection and identification device will mark the location information of these potentially affected meters as part of the fault warning information, which includes the abnormal temperature and humidity values, the time when the abnormality occurred, and the affected meter location information.

[0055] S206: Send the fault warning information to the monitoring end.

[0056] The detection and identification device sends the packaged fault warning information to the monitoring end through the established communication connection. During the transmission process, the detection and identification device monitors the data transmission status to ensure that the data is successfully sent to the monitoring end. If a network failure or transmission interruption occurs, the detection and identification device will try to resend the data or take appropriate error handling measures. After receiving the fault warning information, the monitoring end will unpack and parse the data. The monitoring end will display the parsed fault warning information, such as displaying abnormal temperature and humidity values, occurrence time, and affected meter location in the form of pop-up windows, charts, or log records on the monitoring screen, so that managers can promptly understand the environmental conditions in the storage cabinet and take appropriate measures.

[0057] In the embodiments of the present application, more comprehensive and accurate management and monitoring of the meter information in the meter storage cabinet can be achieved, which effectively solves many problems existing in the meter storage management in the prior art, such as the difficulty in accurately obtaining meter information, the inability to timely know the storage environment conditions and the meter location status, and other problems, thereby achieving the technical effects of improving the efficiency of meter storage management, ensuring stable meter performance, improving storage resource utilization, and providing managers with more powerful decision-making basis.

[0058] The following describes the detection and identification device in the embodiment of the present invention from the perspective of hardware processing. Figure 3 , which is a schematic diagram of the structure of a physical device for detecting and identifying equipment in an embodiment of the present application.

[0059] It should be noted that Figure 3 The structure of the detection and identification device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0060] like Figure 3 As shown, the detection and identification device includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 308 to the random access memory (RAM) 303, such as executing the method described in the above embodiment. Various programs and data required for system operation are also stored in RAM 303. CPU 301, ROM 302 and RAM 303 are connected to each other through bus 304. Input / output (I / O) interface 305 is also connected to bus 304.

[0061] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed so that a computer program read therefrom is installed into the storage section 308 as needed.

[0062] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, various functions defined in the present invention are performed.

[0063] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

[0064] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0065] Specifically, the detection and identification device of this embodiment includes a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the detection and identification method of the smart storage cabinet provided in the above embodiment is implemented.

[0066] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the detection and identification device described in the above embodiment; or may exist independently without being assembled into the detection and identification device. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the detection and identification device, the detection and identification device implements the detection and identification method of the smart storage cabinet provided in the above embodiment.

[0067] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application 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. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0068] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0069] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A detection and identification method for a smart storage cabinet, applied to a detection and identification device, characterized in that: The method comprises: The RFID reader / writer disposed on the top of the electric meter storage cabinet reads the RFID tag of the target electric meter under different environmental conditions to obtain the first electric meter information; The second electric meter information is obtained by scanning the electric meter identification code of the target electric meter under different environmental conditions by a scanning device pre-set in the electric meter storage cabinet; Verifying whether the second electric meter information matches the first electric meter information; If they do not match, determining the meter image of the target meter under different environmental conditions according to an image acquisition device disposed inside the storage cabinet; Input the meter image into a preset deep recognition model to obtain final meter information of the target meter, wherein the meter information at least includes a meter model and a meter status, and the deep recognition model is trained in advance based on a plurality of meter image samples under different environmental conditions; If the final electricity meter information matches the first electricity meter information or the second electricity meter information, the final electricity meter information is saved and sent to the cloud server.

2. The method according to claim 1, characterized in that After the step of inputting the meter image into a preset deep recognition model to obtain final meter information of the target meter, the method further includes: Determine the electric meter location information according to the final electric meter information; Determine the temperature and humidity data in the electric meter storage cabinet by means of a sensor module disposed in the electric meter storage cabinet; Determine fault warning information according to the temperature and humidity data, wherein the fault warning information at least includes the location information of the electric meter; The fault warning information is sent to the monitoring terminal.

3. The method according to claim 2, characterized in that After the step of determining the electric meter location information according to the final electric meter information, the method further includes: Determine a free storage location according to the electric meter location information; The indicator lights corresponding to the vacant storage locations are controlled to provide vacant prompts.

4. The method according to claim 1, characterized in that: Before the step of obtaining the first meter information by reading the RFID tag of the target meter under different environmental conditions through the RFID reader / writer arranged on the top of the meter storage cabinet, the method further includes: The operation status of the electric meter storage cabinet by personnel in a set area is determined by a camera arranged at a preset position of the electric meter storage cabinet.

5. The method according to claim 1, characterized in that After the step of inputting the meter image into a preset deep recognition model to obtain final meter information of the target meter, the method further includes: Determining whether the electric meter model in the final electric meter information matches the model preset rule of the electric meter storage cabinet; If there is no match, the model abnormality is determined and sent to the monitoring end for display.

6. The method according to claim 1, characterized in that If the final electric meter information matches the first electric meter information or the second electric meter information, after the step of saving and sending the final electric meter information to the cloud server, the method further includes: Extracting the storage time of the target electric meter from the final electric meter information; Determine whether the storage time of the target electric meter exceeds a preset time in combination with the current time; If it exceeds, the meter location information of the target meter and the over-long storage prompt information are sent to the monitoring end.

7. The method according to claim 1, characterized in that If the final electric meter information matches the first electric meter information or the second electric meter information, after the step of saving and sending the final electric meter information to the cloud server, the method further includes: After receiving the final electric meter information of the plurality of target electric meters, determining an electric meter statistical report according to the final electric meter information, the electric meter statistical report at least including the quantity distribution of electric meters of different models and the quantity distribution of electric meters of different states; The electricity meter statistical report is sent to the monitoring end.

8. A detection and identification device, characterized in that: The detection and identification device includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the detection and identification device to execute the method described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on the detection and identification device, the detection and identification device is caused to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product runs on a detection and identification device, the detection and identification device is enabled to perform the method according to any one of claims 1 to 7.

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