Intelligent storage equipment fault analysis and maintenance all-in-one machine

Abstract

The invention discloses a smart warehousing equipment fault analysis and maintenance all-in-one machine, and relates to the technical field of smart warehousing, the smart warehousing equipment fault analysis and maintenance all-in-one machine comprises an all-in-one machine body, the upper end of the all-in-one machine body is provided with a display platform for fault analysis, the all-in-one machine body is internally provided with a storage groove, and the storage groove is internally provided with a scanner; the scanner is connected with the all-in-one machine body through an electric wire, and a winding assembly used for winding the electric wire is arranged on one side of the electric wire. According to the system, scanning, imaging and analysis operation can be conveniently carried out on storage equipment, a targeted fault analysis and maintenance scheme can be provided for the equipment, regular maintenance is facilitated, the diagnosis assembly is arranged, fault judgment can be carried out on the scanner in real time under the mutual cooperation of the indicator light and the fault judgment module, and the fault diagnosis efficiency is improved. Problems of scanning operation and data output are avoided, and related personnel can conveniently carry out timely overhaul and maintenance operation.

Description

Technical Field

[0001] The present invention relates to the field of smart warehousing technology, and in particular to a smart warehousing equipment fault analysis and maintenance all-in-one machine. Background Art

[0002] In the fields of logistics operations and smart factories, the application of smart warehousing equipment and production lines has become increasingly common. To ensure the smooth use of smart warehousing equipment and production lines, technical personnel are often asked to maintain and repair the warehousing equipment. However, the training of technical personnel is a process with high labor costs, and the possibility of technical talents staying in the company for a long time is low. It is not convenient to perform real-time maintenance operations, and it is not convenient to timely analyze the faults of warehousing equipment and production lines and provide maintenance plans. It has delays and poor practicality.

[0003] Based on this, an all-in-one intelligent warehousing equipment fault analysis and maintenance machine is now provided to eliminate the drawbacks of existing technical solutions. Summary of the invention

[0004] The purpose of the present invention is to provide an all-in-one machine for fault analysis and maintenance of intelligent storage equipment, so as to solve the problem in the background technology that it is not convenient to perform maintenance operations in real time, and it is not convenient to analyze and provide maintenance solutions in time.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An all-in-one machine for fault analysis and maintenance of intelligent storage equipment, comprising an all-in-one machine body, a display platform for fault analysis is arranged at the upper end of the all-in-one machine body, a storage slot is provided inside the all-in-one machine body, a scanner is arranged inside the storage slot, the scanner is connected to the all-in-one machine body through a wire, and a winding component for winding the wire is arranged on one side of the wire;

[0007] The winding assembly includes a mounting seat fixedly mounted on the bottom wall of the storage groove, the upper end of the mounting seat is rotatably connected to a winding wheel, one end of the winding wheel shaft is fixedly connected to a handle, a limiting piece matching the handle is provided on one side of the handle, a guide plate is provided on one side of the winding wheel, and a guide hole for passing the electric wire is opened on the surface of the guide plate.

[0008] Preferably, the display platform includes:

[0009] A data repository is used to collect, store and provide historical data and big data information of multiple storage devices, and divide the data in the corresponding information into several groups according to the usage type of the storage equipment;

[0010] Module components are used to perform fault analysis operations on storage equipment and provide possible causes of faults and maintenance solutions;

[0011] a processor for receiving and outputting information results from the scanner, the data repository, and the module components;

[0012] The display panel is used to receive data information transmitted by the processor and display the data information;

[0013] The data storage library, the module components, the processor and the display panel are electrically connected.

[0014] Preferably, the module assembly comprises:

[0015] A search module is used to determine the usage type and common fault problems of storage equipment;

[0016] Range indentation module, used to narrow down and troubleshoot the causes of storage equipment failures;

[0017] The comparison and analysis module is used to compare the data information of the corresponding storage equipment with the historical data, analyze and find out the differences;

[0018] The maintenance recommendation module is used to receive the comparison data from the comparison analysis module and provide possible causes of failure and solutions based on the above data characteristics.

[0019] Preferably, the scanner comprises:

[0020] An image acquisition module, used to acquire image data of a faulty storage device, wherein the image data includes a faulty location, number information, and surface status of the storage device;

[0021] Sensor module, used to detect changes in the surrounding environment of storage equipment;

[0022] A feature extraction module is used to extract feature information and related parameters that can reflect the failure of storage equipment from the original data;

[0023] A preprocessing module, used for receiving the extracted feature information, performing image enhancement operation on the above-mentioned image features, and performing outlier and duplicate data removal operation on the parameter data provided by the sensor module;

[0024] The image acquisition module, the sensor module, the feature extraction module and the preprocessing module are electrically connected, and a diagnostic component for judging whether the scanner can work normally is also arranged on one side of the scanner.

[0025] Preferably, the diagnostic component includes an electrically connected fault judgment module and an indicator light, wherein the fault judgment module is used to identify the fault condition of the internal circuit of the scanner and prompt whether the scanner has a fault through the indicator light.

[0026] Preferably, the integrated machine body further includes a self-test component disposed inside a plurality of storage devices, and the self-test component includes:

[0027] Equipment positioning module, used to collect basic equipment information of each storage equipment and automatically update the equipment location in real time based on the above information characteristics;

[0028] The status monitoring module is used to monitor the usage and working status of each storage equipment, and transmit the above characteristics to the retrieval module to realize automatic detection operation.

[0029] Preferably, a cover body matching with the storage slot is provided on one side of the integrated machine body.

[0030] Preferably, an information access port is provided on one side of the display platform, and the information access port includes a wireless transmission port and a charging interface.

[0031] Preferably, the sensor module includes a plurality of current and voltage sensors, temperature and humidity sensors and light sensors, and the surrounding environment changes include changes in equipment current and voltage, temperature and humidity, and light.

[0032] Preferably, it also includes a method for using the intelligent storage equipment fault analysis and maintenance integrated machine, and the specific steps of use are as follows:

[0033] S1. Scan the faulty part of the storage equipment with a scanner, extract features and perform preprocessing operations on the scanned image, and transmit the preprocessed data to the display platform through the network line;

[0034] S2. The module component compares and analyzes the parameter data of the corresponding storage equipment with the historical data in the data repository, and provides possible causes of the failure;

[0035] S3. The analysis results are transmitted to the display panel through the processor. The display panel receives the analysis data and displays the image data of the faulty part, the fault analysis results and the maintenance plan of the storage equipment in real time in the form of text reports and statistical charts.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention facilitates scanning, imaging, and analysis operations on a number of storage equipment, and can provide targeted fault analysis and repair plans for the equipment. During the normal operation of smart warehousing, the equipment can be regularly maintained and serviced. Compared with the traditional maintenance method by technicians, it saves costs and has high efficiency. The all-in-one machine is provided with a diagnostic component. With the cooperation of the indicator light and the fault judgment module, the scanner can be judged for faults in real time, thus avoiding problems with scanning operations and data output, and facilitating timely inspection and maintenance operations by relevant personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a structural schematic diagram of the integrated machine body of the present invention.

[0039] Figure 2 It is a schematic diagram of the present invention.

[0040] Figure 3 It is an overall schematic diagram of the present invention.

[0041] Figure 4 Schematic diagram of the display platform of the present invention.

[0042] Figure 5 Schematic diagram of a scanner according to the present invention.

[0043] Figure 6 Schematic diagram of the self-test component of the present invention.

[0044] Figure 7 Schematic diagram of the module assembly of the present invention.

[0045] Figure 8 The figure is a schematic diagram of the method for using the present invention.

[0046] Notes on figure marks: all-in-one body 101, storage slot 102, cover 103, display platform 200, data storage library 210, module assembly 220, retrieval module 221, range indentation module 222, comparison and analysis module 223, maintenance recommendation module 224, processor 230, display panel 240, information access port 250, scanner 300, image acquisition module 310, sensor module 320, feature extraction module 330, preprocessing module 340, fault judgment module 350, indicator light 360, winding assembly 400, mounting seat 401, winding wheel 402, turning handle 403, guide plate 404, self-test assembly 500, equipment positioning module 510, status monitoring module 520. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] In this embodiment, if Figure 1-Figure 8As shown, the intelligent storage equipment fault analysis and maintenance all-in-one machine analyzes the problems existing in the storage equipment and production line through modern technologies such as scanning imaging, image recognition, and image judgment. Under the mutual cooperation between various modules, it assists users to obtain maintenance plans and implement maintenance operations, including an all-in-one machine body 101, a support member is arranged at the lower end of the all-in-one machine body 101, and the support member can be set as a self-locking universal wheel or a support seat for easy movement. The all-in-one machine body 101 is provided with electronic components, which are electrically connected to the display platform 200. The upper end of the all-in-one machine body 101 is provided with a display platform 200 for fault analysis, and a storage slot 102 is opened inside the all-in-one machine body 101. A scanner 300 is arranged inside the storage slot 102. The scanner 300 is connected to the all-in-one machine body 101 through a wire, and a winding component 400 for winding the wire is arranged on one side of the wire, so that the wire can be quickly wound on the winding wheel 402 to avoid messy accumulation of wires.

[0049] The winding assembly 400 includes a mounting base 401 fixedly mounted on the bottom wall of the storage groove 102, and the upper end of the mounting base 401 is rotatably connected to a winding wheel 402, and one end of the rotating shaft of the winding wheel 402 is fixedly connected to a turning handle 403. The turning handle 403 can be turned to drive the wire to be wound, and a limiting member cooperating with the turning handle 403 is provided on one side of the turning handle 403 to facilitate fixing the position of the turning handle 403. When a scanning operation is required, the turning handle 403 is in a rotating state, and the staff only needs to hold the scanner 300 and pull the wire to complete the wire length pulling operation. A guide plate 404 is provided on one side of the winding wheel 402, and a guide hole for passing the wire is opened on the surface of the guide plate 404 to play a pulling and guiding role for the wire.

[0050] Among them Figure 1-Figure 7 As shown, the display platform 200 includes:

[0051] The data repository 210 is used to collect, store and provide historical data and big data information of multiple storage devices, and divide the data in the corresponding information into several groups according to the usage type of the storage devices. The data information includes but is not limited to the historical fault records, maintenance records, basic parameters, equipment numbers, etc. of the storage devices. The collected data is stored in a preset format and structure to ensure the integrity and traceability of the data and provide subsequent support for fault analysis;

[0052] Module component 220 is used to perform fault analysis operations on storage equipment and provide possible causes of the fault and repair solutions, the repair solutions including but not limited to specific repair steps, required tools and materials, and estimated repair time, etc.;

[0053] The processor 230 is used to receive and output information results of the scanner 300, the data repository 210 and the module component 220, wherein the information results include but are not limited to the scanning results of the scanner 300, the historical data stored in the data repository 210 and the fault analysis results of the module component 220, so as to facilitate sending the fault analysis results and maintenance solutions to other components for further processing;

[0054] The display panel 240 is used to receive data information transmitted by the processor 230 and display the data information in various forms including but not limited to text, charts, images, etc., so that the user can intuitively understand the status of the storage equipment, the fault analysis results, the maintenance plan and other information;

[0055] The data storage library 210, the module assembly 220, the processor 230 and the display panel 240 are electrically connected to ensure that data can be accurately and quickly transmitted between the modules.

[0056] Among them Figure 3 and Figure 7 As shown, the module assembly 220 includes:

[0057] The search module 221 is used to determine the usage type and common fault problems of the storage equipment, search based on the equipment model, manufacturer, usage environment and other information, and extract relevant fault records and analysis results from the data repository 210;

[0058] The scope indentation module 222 is used to narrow down and troubleshoot the causes of the failure of the storage equipment, based on the information provided by the retrieval module 221 and the specific fault manifestation of the current equipment, further analyze the possible sources of the failure and exclude irrelevant data information;

[0059] Comparison and analysis module 223, used to compare the data information of the corresponding storage equipment with the historical data, analyze and find out the differences, the data information includes but is not limited to the equipment's operating status data, fault records, maintenance history, surface conditions, surrounding environment, temperature and humidity conditions, etc.;

[0060] The maintenance recommendation module 224 is used to receive the comparison data of the comparison analysis module 223, and provide possible causes of faults and solutions based on the above data characteristics. For example, the sensor module 320 detects changes in the surrounding environment of the storage equipment. When the surface temperature of the storage equipment is found to be too high, it can be determined whether it is due to overload operation, poor heat dissipation, line short circuit and other problems. Then, it can be determined based on the current and voltage data to determine which situation it is and find a solution.

[0061] Among them Figure 1-Figure 5 As shown, the scanner 300 includes:

[0062] The image acquisition module 310 is used to collect image data of the faulty storage equipment, which includes the fault location, number information and surface status of the storage equipment, so as to provide intuitive visual evidence and more accurately determine the fault type and location;

[0063] Sensor module 320, used to detect changes in the surrounding environment of the storage equipment, including but not limited to real-time monitoring of parameters such as temperature, humidity, vibration, and noise;

[0064] The feature extraction module 330 is used to extract feature information and related parameters that can reflect the failure of the storage equipment from the original data, including but not limited to texture features, color features, shape features, etc. of the image, as well as abnormal values ​​or trend changes in the data of the sensor module 320;

[0065] The preprocessing module 340 is used to receive the extracted feature information and perform image enhancement operations on the above image features, such as contrast enhancement and sharpening, to improve the quality and clarity of the image, and remove abnormal values ​​and duplicate data from the parameter data provided by the sensor module 320. The abnormal values ​​may be caused by sensor failure, data transmission errors, etc., which will interfere with subsequent analysis and prediction. The preprocessing module 340 will identify and delete these abnormal and duplicate data to ensure the accuracy of the analysis basis;

[0066] The image acquisition module 310, the sensor module 320, the feature extraction module 330 and the preprocessing module 340 are electrically connected through wires, cables or other electronic connection methods to ensure that data can be smoothly transmitted between these modules. A diagnostic component is also provided on one side of the scanner 300 for determining whether the scanner 300 can work normally. This is achieved through a series of self-test procedures or tests, such as checking whether the power supply is normal, whether the communication between the modules is smooth, whether the sensor is sensitive, etc. If the diagnostic component finds that the scanner 300 has a fault or abnormality, it will promptly issue a prompt message so that the user can promptly discover and solve the problem.

[0067] Among them Figure 3 and Figure 5 As shown, the diagnostic component includes an electrically connected fault judgment module 350 and an indicator light 360. The fault judgment module 350 is used to identify the fault condition of the internal circuit of the scanner 300, and prompts whether the scanner 300 has a fault through the indicator light 360. Through the fault judgment module 350, the internal structure and circuit of the scanner 300 can be inspected to avoid circuit short circuit. When the scanner 300 fails, the indicator light 360 emits red light to facilitate subsequent processing operations.

[0068] Among them Figure 2-Figure 6As shown, the integrated machine body 101 also includes a self-test component 500 disposed inside a plurality of storage devices, and the self-test component 500 includes:

[0069] The equipment positioning module 510 is used to collect basic equipment information of each storage equipment and automatically update the equipment location in real time based on the above information characteristics, using GPS, RFID, Bluetooth or other wireless positioning technologies to collect basic information of each storage equipment such as equipment number, model, specifications, etc. in real time;

[0070] The status monitoring module 520 is used to monitor the usage and working status of each storage equipment, and transmit the above characteristics to the retrieval module 221 to realize automatic detection operation. The usage includes but is not limited to the working status, operating parameters and energy consumption of the equipment, so as to facilitate timely detection of potential faults or abnormal behaviors.

[0071] Among them Figure 1 As shown, a cover 103 matching with the storage slot 102 is provided on one side of the integrated machine body 101 to protect the scanner 300 and facilitate storage.

[0072] Among them Figure 3 and Figure 4 As shown, an information access port 250 is provided on one side of the display platform 200. The information access port 250 includes a wireless transmission port and a charging interface. The data is updated in a timely manner through the wireless transmission port, which facilitates rapid discovery of equipment failure problems. The charging interface is used to connect with other power storage devices to provide power to components such as the display platform 200.

[0073] Among them Figure 3 As shown, the sensor module 320 includes a number of current and voltage sensors, temperature and humidity sensors, and light sensors. The changes in the surrounding environment include changes in the current and voltage of the equipment, the temperature and humidity, and the light. The current and voltage sensors are used to monitor the current and voltage changes of the equipment or the production line, so as to timely discover the electrical faults or abnormalities of the equipment. The temperature and humidity sensors are used to monitor the temperature and humidity changes of the environment in which the equipment or the production line is located. Temperature and humidity are one of the important factors affecting the operating stability and life of the equipment. By real-time monitoring of the changes in temperature and humidity, the impact of the environment on the equipment can be discovered in time, and corresponding measures can be taken to adjust it. The light sensors are used to monitor the light changes in the environment in which the equipment or the production line is located to avoid the impact of light on the normal operation of the equipment, so as to facilitate timely adjustment of the lighting conditions of the equipment to ensure its normal operation.

[0074] Among them Figure 8 As shown, it also includes the method of using the intelligent storage equipment fault analysis and maintenance machine. The specific steps are as follows:

[0075] S1. Scan the faulty part of the storage equipment through the scanner 300, extract features and perform preprocessing operations on the scanned image, and transmit the preprocessed data to the display platform 200 through the network line;

[0076] S2, the module component 220 compares and analyzes the parameter data of the corresponding storage equipment with the historical data in the data repository 210, and provides possible causes of the failure;

[0077] S3. The analysis results are transmitted to the display panel 240 through the processor 230. The display panel 240 receives the analysis data and displays the image data of the faulty part, the fault analysis results and the maintenance plan of the storage equipment in real time in the form of text reports and statistical charts.

[0078] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. Intelligent storage equipment fault analysis and maintenance all-in-one machine, characterized by: The invention comprises an integrated machine body (101), wherein a display platform (200) for fault analysis is arranged at the upper end of the integrated machine body (101), a storage slot (102) is provided inside the integrated machine body (101), a scanner (300) is arranged inside the storage slot (102), the scanner (300) is connected to the integrated machine body (101) via an electric wire, and a winding assembly (400) for winding the electric wire is arranged on one side of the electric wire; The winding assembly (400) includes a mounting seat (401) fixedly mounted on the bottom wall of the storage groove (102); the upper end of the mounting seat (401) is rotatably connected to a winding wheel (402); one end of a rotating shaft of the winding wheel (402) is fixedly connected to a turning handle (403); a limiting member matching the turning handle (403) is disposed on one side of the turning handle (403); a guide plate (404) is disposed on one side of the winding wheel (402); and a guide hole for passing the electric wire is provided on the surface of the guide plate (404).

2. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1 is characterized in that: The display platform (200) comprises: A data repository (210) is used to collect, store and provide historical data and big data information of multiple storage devices, and divide a number of data in the corresponding information into a number of groups according to the usage type of the storage device; The module component (220) is used to perform fault analysis operations on the storage equipment and provide possible causes of the fault and maintenance solutions; A processor (230) for receiving and outputting information results from the scanner (300), the data repository (210) and the module component (220); A display panel (240) is used to receive data information transmitted by the processor (230) and display the data information; The data storage library (210), the module component (220), the processor (230) and the display panel (240) are electrically connected.

3. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 2 is characterized in that: The module assembly (220) comprises: A search module (221) is used to determine the usage type and common fault problems of storage equipment; A range indentation module (222) is used to narrow down and troubleshoot the causes of malfunctions in storage equipment; A comparison and analysis module (223) is used to compare the data information of the corresponding storage equipment with the historical data, analyze and find out the differences; The maintenance recommendation module (224) is used to receive the comparison data from the comparison analysis module (223) and provide possible causes of the failure and solutions based on the above data characteristics.

4. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1 is characterized in that: The scanner (300) comprises: An image acquisition module (310) is used to acquire image data of the faulty storage equipment, wherein the image data includes the fault location, number information and surface status of the storage equipment; A sensor module (320) is used to detect changes in the surrounding environment of the storage equipment; A feature extraction module (330) is used to extract feature information and related parameters that can reflect the failure of storage equipment from the original data; A preprocessing module (340) is used to receive the extracted feature information, perform image enhancement operations on the above-mentioned image features, and perform outlier and duplicate data removal operations on the parameter data provided by the sensor module (320); The image acquisition module (310), the sensor module (320), the feature extraction module (330) and the preprocessing module (340) are electrically connected, and a diagnostic component for determining whether the scanner (300) can operate normally is also provided on one side of the scanner (300).

5. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 4 is characterized in that: The diagnostic component comprises an electrically connected fault judgment module (350) and an indicator light (360), wherein the fault judgment module (350) is used to identify the fault condition of the internal circuit of the scanner (300) and to indicate whether the scanner (300) has a fault through the indicator light (360).

6. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1 is characterized in that: The integrated machine body (101) further comprises a self-test component (500) arranged inside a plurality of storage devices, wherein the self-test component (500) comprises: The equipment positioning module (510) is used to collect basic equipment information of each storage equipment and automatically update the equipment location in real time based on the above information characteristics; The status monitoring module (520) is used to monitor the usage and working status of each storage device, and transmit the above characteristics to the retrieval module (221) to realize automatic detection operation.

7. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1 is characterized in that: A cover body (103) matching with the storage slot (102) is provided on one side of the integrated machine body (101).

8. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1 is characterized in that: An information access port (250) is provided on one side of the display platform (200), and the information access port (250) comprises a wireless transmission port and a charging interface.

9. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 4 is characterized in that: The sensor module (320) comprises a plurality of current and voltage sensors, temperature and humidity sensors and light sensors, and the surrounding environment changes comprise changes in device current and voltage, temperature and humidity and light.

10. The intelligent storage equipment fault analysis and maintenance integrated machine according to claim 1, characterized in that: It also includes the use of the intelligent storage equipment fault analysis and maintenance machine. The specific steps are as follows: S1, scanning the faulty part of the storage equipment by means of a scanner (300), extracting features and performing preprocessing operations on the scanned image, and transmitting the preprocessed data to the display platform (200) via a network line; S2, the module component (220) performs a fault comparison analysis on the parameter data of the corresponding storage device and the historical data in the data storage library (210), and provides possible causes of the fault; S3. The analysis result is transmitted to the display panel (240) through the processor (230). The display panel (240) receives the analysis data and displays the image data of the faulty part of the storage equipment, the fault analysis result and the maintenance plan in real time in the form of text reports and statistical charts.

Images