Intelligent storage system and method for electric tools

Abstract

The invention provides an intelligent storage system and method for electric tools. Comprising a storage cabinet which at least comprises a storage space; the data acquisition module comprises scanning equipment and at least one multi-mode sensing module, the scanning equipment reads the identity parameters by scanning the labels of the electric tools, and the multi-mode sensing module is used for acquiring the running state data of the electric tools and the data of the environment where the electric tools are located; the life evaluation module carries an edge calculation unit and a local database, and adopts a dynamic weight model to evaluate the residual life of the electric tool; and the scrapping execution module adopts a multi-stage early warning mechanism, locks the electric tools in a grading manner, and transmits the state data of the electric tools back to the service life evaluation module. The problems that in the prior art, when the electric tools and instruments are stored, the residual life of the electric tools and instruments cannot be accurately evaluated, the sudden failure rate of the electric tools and instruments in overdue service is high in the follow-up using process, and production interruption or safety accidents are likely to be caused are solved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent warehousing technology, and in particular to an intelligent storage system and method for electric tools. Background Art

[0002] Power tools are a general term for equipment that uses electric motors or electromagnets as power sources and drives the working head through a transmission mechanism to perform mechanized operations. They cover both handheld and portable tools. After use, power tools need to be properly stored to ensure their performance and safety.

[0003] The existing electric tools have the following problems during storage: (1) The self-discharge characteristics of the lithium battery of the electric tool may cause the battery to be in a low power state for a long time during storage, triggering deep discharge, causing irreversible capacity decay, and accelerating the passivation of the electrode material and the increase of internal resistance, significantly shortening the battery cycle life; (2) If the lithium battery of the electric tool is not removed and is left stationary for a long time, the electrolyte stratification or plate sulfation (lead-acid battery) may cause the active material to fail, and the charging efficiency may drop by more than 50%. At the same time, the contact point between the electric tool and the battery may cause contact due to oxidation or dust accumulation. Abnormal resistance leads to energy loss and even local overheating, which affects the service life of electric tools; (3) After the borrowing period of electric tools exceeds the limit, users may ignore battery maintenance (such as failure to charge according to specifications), and long-term storage aggravates the impact of self-discharge, further shortening the battery life; (4) When electric tools are stored, most of them rely on manual recording and management, and it is impossible to accurately assess the remaining life of the electric tools. As a result, the electric tools that have exceeded their service life have a high sudden failure rate during subsequent use due to hidden damage (such as aging of the motor insulation layer and gear fatigue), which can easily cause production interruptions or safety accidents.

[0004] Based on this, the present invention designs an intelligent storage system and method for electric tools to solve the problems raised in the above background technology. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides an intelligent storage system and method for electric tools, which solves the problem in the existing technology that the remaining life of electric tools cannot be accurately assessed during storage, resulting in a high rate of sudden failures of electric tools that have exceeded their service life during subsequent use, which can easily cause production interruptions or safety accidents.

[0006] According to an embodiment of the present invention, an intelligent storage system for electric tools includes:

[0007] a storage cabinet comprising at least one storage space;

[0008] A data acquisition module comprising a scanning device and at least one multimodal sensing module, wherein the scanning device is configured to read the identity parameters of the power tool by scanning the power tool tag, and the multimodal sensing module is configured to collect operating status data and environmental data of the power tool;

[0009] a life assessment module, connected to the data acquisition module, equipped with an edge computing unit and a local database, and configured to assess the remaining life of the electric tool using a dynamic weight model;

[0010] The scrapping execution module is connected to the life assessment module and is configured to adopt a multi-level early warning mechanism to lock the electric tool in a hierarchical manner and transmit the status data of the electric tool back to the life assessment module to correct the dynamic weight model parameters.

[0011] On the other hand, according to an embodiment of the present invention, there is also provided a method for intelligent storage of electric tools, which is applied to the above-mentioned intelligent storage system for electric tools and comprises the following steps:

[0012] Data collection: scanning the electric tool tag to obtain the identity parameters of the electric tool, and then collecting and obtaining the operating status data and environmental data of the electric tool;

[0013] Life assessment, based on the acquired data, using a dynamic weight model to calculate the remaining life of the electric tool;

[0014] Scrap execution triggers a multi-level warning mechanism based on the remaining life. When the remaining life is lower than a preset threshold, the target electric tool is locked in stages, and the status data of the target electric tool is fed back to the dynamic weight model to correct the dynamic weight model parameters.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] By scanning to obtain the identity parameters of the electric tool and collecting the operating status data and environmental data of the electric tool in real time, the dynamic weight model can be used to calculate the remaining life of the electric tool, and then the electric tool can be locked in a graded manner according to the remaining life of the electric tool, so that the electric tool that has exceeded its service life cannot be used. This solves the problem in the prior art that the remaining life of the electric tool cannot be accurately assessed when it is stored, resulting in a high sudden failure rate of the electric tool during subsequent use, which is easy to cause production interruption or safety accidents. It reduces the sudden failure rate of the electric tool and reduces the probability of production interruption or safety accidents caused by the over-service of the electric tool. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1This is a control principle diagram of an intelligent storage system for electric tools according to an embodiment of the present invention.

[0018] Figure 2 Schematic diagram of the structure of a storage cabinet according to an embodiment of the present invention.

[0019] Figure 3 This is a control principle diagram of an intelligent storage system for electric tools according to another embodiment of the present invention.

[0020] Figure 4 This is a flowchart of a method for intelligent storage of electric tools according to yet another embodiment of the present invention.

[0021] In the above drawings: 1. Storage cabinet; 2. Data acquisition module; 3. Life assessment module; 4. Scrap execution module; 5. Intelligent charging module; 6. Battery locking module; 7. Safety protection module; 8. Positioning and status update module; 9. Visual monitoring and early warning module; 11. Storage space; 12. Cabinet; 13. Cabinet door; 14. Partition; 15. Electric tool fixing base; 21. Scanning equipment; 22. Multimodal sensing module; 71. Access control linkage unit; 72. Environmental monitoring unit; 81. Positioning unit; 82. Status change unit; 91. Display; 92. Voice broadcast device; 221. Magnetic sensor; 222. Current detection sensor; 223. Vibration sensor; 224. Temperature and humidity sensor; 2211. Hall sensor; 2212. Magnetoresistive sensor. DETAILED DESCRIPTION

[0022] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0023] like Figure 1 and Figure 2 As shown, an embodiment of the present invention provides an intelligent storage system for electric tools, comprising:

[0024] A storage cabinet 1, which includes at least one storage space 11, is composed of a cabinet body 12 and a plurality of independent cabinet doors 13 pivotally connected thereto. The interior of the cabinet body 12 is divided into a plurality of independent storage spaces 11 by partitions 14. Each storage space 11 is equipped with a single cabinet door 13. The cabinet door 13 and the storage space 11 are in a one-to-one opening and closing relationship. An intelligent charging module 5 and a battery locking module 6 are deployed in the storage space 11. The intelligent charging module 5 is connected to the data acquisition module 2 and is used to compare the real-time monitoring value of the state of charge of the lithium battery of the electric tool with the set threshold value. When the real-time monitoring value is lower than the set threshold value, trickle charging is automatically triggered to maintain the lithium battery current within the optimal storage range; the battery locking module 6 is connected to the intelligent charging module 5 and is used to detect whether the lithium battery of the electric tool has been correctly separated and stored, and transmit the detection result to The smart charging module 5, specifically, each independent storage space 11 can hold several electric tools of the same type, and each independent storage space 11 is provided with several electric tool fixing bases 15, and each electric tool fixing base 15 can be fixed with an electric tool to prevent the electric tool from being displaced, and each storage space 11 is equipped with a single cabinet door 13 to realize unit opening and closing control, so that each storage space 11 can be opened and closed independently, avoiding the simultaneous exposure of electric tools stored in multiple storage spaces 11, so as to reduce the risk of collision or damage of electric tools due to operational errors, and at the same time, through the one-to-one correspondence between the single cabinet door 13 and the storage space 11, it can be independently bound to permission control (such as biometric / NFC identification permission), and only authorized personnel can operate specific cabinet doors 13, avoiding unauthorized personnel from contacting irrelevant tools.

[0025] The battery locking module 6 can perform real-time detection on whether the lithium battery of the electric tool stored in the storage space 11 has been correctly separated from the housing of the electric tool and stored. When the battery locking module 6 detects that the lithium battery has been correctly separated and stored, the intelligent charging module 5 starts and compares the real-time monitoring value of the charge state of the lithium battery of the electric tool with the set threshold. When the real-time monitoring value is lower than the set threshold (such as 30%), trickle charging is automatically triggered to maintain the lithium battery current within the optimal storage range (such as 40%-60%), thereby ensuring the service life of the lithium battery and avoiding the situation where the battery cycle life is significantly shortened due to self-discharge of the lithium battery; when the battery locking module 6 detects that the lithium battery has not been removed, the intelligent charging module 5 is disabled and an alarm is sent to prevent the electric tool from being connected to the lithium battery for a long time, resulting in abnormal loss, thereby ensuring the service life of the electric tool and avoiding the situation where the service life of the electric tool is affected by the lithium battery not being removed.

[0026] The data acquisition module 2 includes a scanning device 21 and at least one multimodal sensing module 22. The scanning device 21 is configured to read the identity parameters of the electric tool by scanning the electric tool tag. The multimodal sensing module 22 is configured to collect the operating status data and the environmental data of the electric tool. The multimodal sensing module 22 includes a magnetic sensor 221, a current detection sensor 222, a vibration sensor 223 and a magnetoresistive sensor 224. The magnetic sensor 221 is configured to count the start and stop times of the electric tool by detecting changes in magnetic field strength or direction. The number of times the power tool is used is counted, and the number of uses is calculated, wherein the interval between two adjacent starts and stops exceeds the set threshold value, which is recorded as a complete number of uses; the current detection sensor 222 is configured to record the single working time of the power tool by detecting the change in current data, and calculate the cumulative working hours; the vibration sensor 223 is configured to monitor the vibration acceleration and vibration time of the power tool in real time; the magnetoresistive sensor 224 is configured to monitor the temperature and humidity data of the power tool when it is used or stored in real time, and the magnetic sensor 221 includes a Hall sensor 2211 or a magnetoresistive sensor 22 12, wherein: the Hall sensor 2211 is configured to count the number of starts and stops of the electric tool with a brush motor by detecting the change in magnetic field strength or direction; the magnetic resistance sensor 2212 is configured to count the number of starts and stops of the electric tool with a brushless motor by detecting the change in magnetic field strength or direction. Specifically, each of the storage spaces 11 is provided with a scanning device 21, and the scanning device 21 is an RFID reader, a QR code scanner or a barcode scanner, which can read the RFID tag, QR code tag or barcode tag of the electric tool by scanning the RFID tag, QR code tag or barcode tag of the electric tool. The identification parameters of the electric tool, such as the type, number, production date and inspection record, are collected. Each electric tool is equipped with the magnetic sensor 221, the current detection sensor 222, the vibration sensor 223 and the magnetoresistive sensor 224. By using the magnetic sensor 221, the current detection sensor 222 and the vibration sensor 223 in coordination, the operating status data related to the number of times the electric tool is used, the accumulated working hours and the vibration parameters can be collected. The temperature and humidity data of the electric tool when it is in use or stored can be collected through the magnetoresistive sensor 224.

[0027] The life assessment module 3 is connected to the data acquisition module 2, equipped with an edge computing unit and a local database, and configured to use a dynamic weight model to assess the remaining life of the electric tool. The dynamic weight model is used to assess the remaining life of the electric tool. The specific calculation formula is:

[0028]

[0029] E i =0.1H+0.05(T-25)

[0030] Where L represents the remaining life percentage; α represents the equipment type correction factor, which ranges from [0.8, 1.2]; C0 represents the design service life index; W u 、W t 、W v and W e They represent the weight parameters of the number of uses, cumulative working hours, vibration damage coefficient and environmental attenuation coefficient respectively. Each weight parameter is dynamically adjusted based on the type of electric tool, design service life and historical failure rate; U i represents the number of times the i-th time is used; T i represents the cumulative working hours of the i-th time; V i represents the vibration damage coefficient of the i-th time; E i represents the environmental attenuation coefficient of the i-th time; a i represents vibration acceleration; t i represents the vibration duration; H represents humidity; and T represents temperature. Specifically, each weight parameter is dynamically adjusted based on the type of electric tool, its designed service life, and its historical failure rate, including the following situations:

[0031] (1) Dynamically adjust the weight parameters of the dynamic weight model based on the type of electric tool, specifically:

[0032] If the electric tool is an electric drill, the weight parameter W of the vibration damage coefficient is v 20% increase;

[0033] If the electric tool is an angle grinder, the weight parameter W of the environmental attenuation coefficient is e Increase by 15%;

[0034] If the electric tool is a high-pressure cleaning machine, the weight parameter W of the environmental attenuation coefficient is e Increased to 40%.

[0035] (2) Dynamically adjust the weight parameters of the dynamic weight model based on the factory life index of the electric tool, specifically:

[0036] If the design service life index C0>5000h, the weight parameter W of the accumulated working hours t 10% reduction;

[0037] If the design service life index C0 is less than 2000h, the weight parameter W of the vibration damage coefficient is v Increased by 30%.

[0038] (3) Dynamically adjust the weight parameters of the dynamic weight model based on the historical failure rate, specifically:

[0039] If the failure rate of similar equipment is greater than 10%, the weight parameter corresponding to the parameter with the highest failure rate will be increased by 20%;

[0040] If the failure rate of similar equipment is less than 10%, the weight parameter W of the environmental attenuation coefficient is e Reduced by 5%.

[0041] The scrapping execution module 4 is connected to the life assessment module 3 and is configured to adopt a multi-level early warning mechanism to hierarchically lock the electric tools and transmit the status data of the electric tools back to the life assessment module 3 to correct the dynamic weight model parameters. Specifically, after evaluating the remaining life of the electric tools, the life assessment module 3 transmits the remaining life data of the electric tools to the scrapping execution module 4. The scrapping execution module 4 will hierarchically lock the electric tools with corresponding numbers according to the remaining life data of the electric tools, and after locking, transmit the status data of the electric tools with corresponding numbers (such as basic attribute data, real-time operating parameters, maintenance and fault records, life indicators, safety status data, early warning and locking status, etc.) back to the life assessment module 3 to correct the dynamic weight model parameters, thereby forming a closed-loop optimization and improving the accuracy of the dynamic weight model.

[0042] The multi-level early warning mechanism is a three-pole early warning mechanism, specifically:

[0043] When the remaining life is ≤20%, the APP pushes a warning message to the administrator;

[0044] When the remaining life is ≤10%, the buzzer will continue to alarm and limit the maximum single use time of the electric tool;

[0045] When the remaining life is ≤0%, the power supply of the electric tool is locked and the use of the electric tool is restricted.

[0046] The detailed working process of this embodiment is as follows:

[0047] The operator places the electric tools according to their types in the designated independent storage space 11 of the storage cabinet 1 to realize the storage of the electric tools, and places the electric tools in the corresponding electric tool fixing base 15 in the storage space 11 to prevent the electric tools from being displaced. When the electric tools are stored in the warehouse, the scanning device 21 scans the electric tool label to obtain the identity parameters of the electric tool (type, number, factory date and inspection record, etc.), and transmits them to the life assessment module 3, so that the identity parameters of the electric tool can be synchronized to the local database. At the same time, the multimodal sensing module 22 transmits the collected operating status data (number of uses, cumulative working hours, vibration parameters) and environmental data (temperature and humidity data during use / storage) to the life assessment module 3, so that the operating status data and environmental data of the electric tool It can be synchronized to the local database. After that, the life assessment module 3 calls the data in the local database, uses the dynamic weight model to evaluate and calculate the remaining life of the electric tool, and transmits the calculated remaining life to the scrapping execution module 4, so that the scrapping execution module 4 will lock the electric tool in a hierarchical manner according to the remaining life, and after locking, the electric tool status data (basic attribute data, real-time operating parameters, maintenance and fault records, life indicators, safety status data, warning and locking status, etc.) is returned to the life assessment module 3, so that the life assessment module 3 can dynamically correct the parameters of the dynamic weight model according to the electric tool status data, thereby forming a closed-loop optimization and improving the accuracy of the dynamic weight model. When the electric tool is locked in a hierarchical manner, if the power supply of the electric tool is locked, the electric tool cannot be used again, thereby avoiding the electric tool from exceeding its service life.

[0048] When electric tools are put into storage, their identity parameters are obtained by scanning, and their operating status data and environmental data are collected in real time. Thus, a dynamic weight model can be used to calculate the remaining life of the electric tools, and then the electric tools are locked in grades according to their remaining life, so that electric tools that have exceeded their service life cannot be used again. This solves the problem in the prior art that the remaining life of electric tools cannot be accurately assessed when they are stored, resulting in a high rate of sudden failures of electric tools that have exceeded their service life during subsequent use, which can easily lead to production interruptions or safety accidents. This reduces the sudden failure rate of electric tools and reduces the probability of production interruptions or safety accidents caused by the over-service of electric tools.

[0049] like Figure 3 As shown, according to another embodiment of the present invention, the intelligent storage system for electric tools further includes:

[0050] The security protection module 7 realizes access authority control and environmental risk blocking through the dual mechanism of access control interlocking and environmental perception. The security protection module 7 includes an access control linkage unit 71 and an environmental monitoring unit 72. The access control linkage unit 71 communicates with the scrapping execution module 4 through protocol, and implements life lock state interlocking control based on the dual authentication mechanism of biometrics and NFC; the environmental monitoring unit 72 is connected to the data acquisition module 2 and is configured to monitor the smoke concentration and combustible gas concentration of the storage environment in real time, and integrate the temperature and humidity data to determine the environmental hazard status. Specifically, the biometrics / NFC dual authentication mechanism is a dual verification mechanism of biometrics (face recognition or fingerprint recognition) + NFC recognition (IC card or mobile phone and other smart devices with NFC recognition function) to identify whether the person who takes and puts the electric tool is Whether it is authorized, after the scrapping execution module 4 locks the electric tool, the access control linkage unit 71 receives the locking instruction and controls the opening or closing of the cabinet door 13 according to the locking instruction, thereby restricting the use of the locked electric tool and allowing the use of the electric tool in the unlocked state. The environmental monitoring unit 72 is linked with the data acquisition module 2, and the environmental monitoring unit 72 is also connected with the life assessment module 3, the scrapping execution module 4 and the access control linkage unit 71. When it is determined that the storage environment is hazardous, the environmental monitoring unit 72 sends a locking instruction to the scrapping execution module 4 or the access control linkage unit 71, and transmits the environmental abnormality data back to the life assessment module 3 to correct the dynamic weight model parameters. The specific threshold determination rules are as follows:

[0051] When the smoke concentration in the storage space 11 of the storage cabinet 1 is detected to be greater than 50 ppm or the combustible gas concentration is greater than 10% LEL, it is determined to be a low-risk environment. The environment monitoring unit 72 immediately sends a locking instruction to the scrapping execution module 4 to automatically lock the high-risk tools (such as electric cutting machines) in the storage space 11 to prevent them from being damaged by electricity.

[0052] When it is monitored that the smoke concentration in the storage space 11 of the storage cabinet 1 is greater than 50ppm and the combustible gas concentration is greater than 10%LEL, it is determined to be a high-risk environment. The environmental monitoring unit 72 immediately sends a locking instruction to the access control linkage unit 71, triggering the locking of the entire cabinet 1. All the cabinet doors 13 are forced to close and are prohibited from opening until the environmental parameters return to normal, so as to prevent the spread of disasters and ensure the safety of the entire storage area of ​​the storage cabinet 1.

[0053] The positioning and status update module 8 integrates a spatial positioning engine and a status event trigger, and dynamically maintains the tool position and working condition mapping. The positioning and status update module 8 includes a positioning unit 81 and a status change unit 82. The positioning unit 81 is connected to the data acquisition module 2, deploys a high-precision positioning beacon, generates access trajectory data and synchronizes it to the data acquisition module 2; the status change unit 82 is connected to the life assessment module 3, collects the current status of the electric tool in real time, transmits the current status back to the life assessment module 3, and resets the remaining life parameters of the electric tool. Specifically, the positioning unit 81 adopts a UWB positioning base station, combined with an RSSI (signal strength) algorithm, to calculate the access trajectory data of the electric tool and synchronize it to the data acquisition module 2, thereby assisting the magnetic sensor 221 of the data acquisition module 2 to count the number of times the electric tool is used. The status change unit 82 is connected to the life assessment module 3 and the data acquisition module 2 respectively. The status change unit 8 2 can collect the current status of the electric tool in real time (for example: taken, in use, borrowed, returned, under repair, repaired, locked), and transmit the current status back to the data collection module 2 or the life assessment module 3, so that when the current status of the electric tool is "in use", the data can be synchronized to the data collection module 2 to start counting the working hours of this time. When the current status of the electric tool is "repaired", the data is synchronized to the life assessment module 3, so that the life assessment module 3 resets the remaining life parameter according to the maintenance record, so that the dynamic weight model parameters can be automatically corrected. When the current status of the electric tool is "borrowed", the data is synchronized to the data collection module 2 to start calculating the borrowing time. When the borrowing time exceeds the set threshold (such as 24 hours), a three-pole alarm (SMS, APP and voice broadcast) is automatically sent. At the same time, the user is prompted to maintain the battery of the electric tool, thereby ensuring the service life of the lithium battery and avoiding the situation where the lithium battery life is shortened due to overdue borrowing of the electric tool.

[0054] The visual monitoring and early warning module 9 deploys a multimodal interactive terminal to perform visual monitoring of the execution status and graded alarm broadcasting. The visual monitoring and early warning module 9 includes a display 91 and a voice broadcasting device 92. The display 91 is connected to the life assessment module 3, the data acquisition module 2 and the positioning unit 81, and integrates the remaining life thermal map, the tool positioning topology map and the environmental risk hot zone superposition display; the voice broadcasting device 92 is connected to the scrap execution module 4, the environmental monitoring unit 72 and the positioning unit 81, and broadcasts the coordinate information according to the urgency level of the locked electric tool, and synchronously triggers the environmental risk evacuation guidance protocol. Specifically, the display 91 is connected to the data acquisition module 2, the life assessment module 3, the environmental monitoring unit 72, the positioning unit 81 and the state change unit 82, and constructs a three-dimensional dynamic thermal map based on digital twin technology, superimposes the remaining life assessment data (color gradient mapping remaining life percentage, and Changes in the remaining life parameters trigger real-time refresh of the heat map color, for example: a deep red warning is displayed when the remaining life is ≤10%), real-time positioning coordinates of tools (dynamic tracking of topological nodes. At the same time, the positioning coordinate data drives the dynamic update of the topological map through the time-space synchronization protocol, and supports red warning of abnormal displacement trajectories) and environmental risk hot zones (areas with abnormal temperature and humidity / gas concentration). It supports GIS+BIM dual-mode switching, and realizes free switching between situation focus and global overview of high-density tool clusters through layered rendering technology. When the environmental monitoring unit 72 detects that the combustible gas concentration exceeds the standard (when the combustible gas concentration is >10%LEL), the display 91 can automatically call the dynamic path planning algorithm, combine the positioning topological map to generate the optimal evacuation route, and display the generated optimal evacuation route on the display 91, and then transmit the generated optimal evacuation route to the voice broadcast device 92, so that the voice broadcast device 92 can prioritize the evacuation of people in the risk area through sound field directional technology.

[0055] The voice broadcasting device 92 broadcasts the coordinate information according to the urgency level of the locked electric tool. The specific content of the graded broadcast is as follows:

[0056] When the remaining life is ≤ 20%, a single prompt will be given to indicate the remaining life percentage and a storage area recommendation will be made for the electric tool.

[0057] When the remaining life is ≤10%, the real-time position information of the electric tool will be broadcast at intervals;

[0058] When the remaining life is ≤0%, the number and real-time location information of the electric tool will be broadcast cyclically;

[0059] When the working status of an electric tool changes suddenly, the risk type of the electric tool will be reported at intervals.

[0060] The detailed working process of this embodiment is as follows:

[0061] The operator needs to pass the dual verification mechanism of biometric identification + NFC identification before unlocking the cabinet door 13. When the storage space 11 stores electric tools in normal state, the cabinet door 13 corresponding to the storage space 11 is opened, and the state change unit 82 is activated, and the state of the electric tools is updated to "taken", allowing the use of electric tools in unlocked state, and the state data is transmitted to the data acquisition module 2 to start counting the single working time of this time. When the storage space 11 stores locked electric tools, after the access control linkage unit 71 receives the locking instruction from the scrapping execution module 4, the cabinet door 13 corresponding to the storage space 11 is forcibly closed to restrict the use of locked electric tools, and update the state of the electric tools to "locked".

[0062] The environmental monitoring unit 72 monitors the smoke concentration and combustible gas concentration in each storage space 11 in real time, and combines the temperature and humidity data in the storage space 11 collected by the magnetic resistance sensor 224 to determine whether the storage space 11 has environmental hazards. When the storage space 11 is determined to be a low-risk environment, the environmental monitoring unit 72 immediately sends a locking instruction to the scrapping execution module 4 to automatically lock the high-risk tools (such as electric cutting machines) in the storage space 11 to prevent high-risk tools from being damaged by electricity. At the same time, the voice broadcast device 92 issues an alarm "The smoke concentration in xx storage space 11 is abnormal, and high-risk tools have been locked." The display 91 highlights the real-time location and remaining life of the affected electric tools. When the storage space 11 is determined to be a high-risk environment, the environmental monitoring unit 72 immediately sends a locking instruction to the access control linkage unit 71. Instruction triggers the whole cabinet locking of the storage cabinet 1, and all the cabinet doors 13 are forced to close and prohibited from opening until the environmental parameters return to normal, so as to prevent the spread of disasters and ensure the safety of the entire storage area of ​​the storage cabinet 1. At the same time, the voice broadcast device 92 issues an alarm "the smoke concentration in the xx storage space 11 is abnormal, and the whole cabinet has been locked", and the display 91 highlights the real-time position and remaining life of the affected electric tools. In addition, when the environmental monitoring unit 72 detects that the combustible gas concentration exceeds the standard (when the combustible gas concentration is >10%LEL), the display 91 can automatically call the dynamic path planning algorithm, combine the positioning topology map to generate the optimal evacuation route, and display the generated optimal evacuation route on the display 91, and then transmit the generated optimal evacuation route to the voice broadcast device 92, so that the voice broadcast device 92 can give priority to guiding the evacuation of people in the risk area through the sound field directional technology.

[0063] Based on the above further improvements, due to the addition of a three-level linkage mechanism of safety protection-positioning tracking-visual decision-making, the full life cycle management of electric tools can be achieved. By adopting a dual verification mechanism of biometrics + NFC identification, as well as real-time monitoring of environmental data, the electric tools are safer during storage. By updating the status of the electric tools in real time and transmitting the current status back, the remaining life parameters are reset, thereby improving the accuracy of life assessment and avoiding the false alarm rate caused by the accumulation of historical data. The voice prompts issued by the display 91 and the voice broadcast device 92 can quickly locate the real-time position of the electric tools, and the operation efficiency is higher.

[0064] On the other hand, Figure 4 According to yet another embodiment of the present invention, there is provided an intelligent storage method for electric tools, which is applied to the intelligent storage system for electric tools described above and comprises the following steps:

[0065] S1. Data collection: scanning the electric tool tag to obtain the identity parameters of the electric tool, and then collecting and obtaining the operating status data and environmental data of the electric tool;

[0066] S2. Life assessment: Based on the acquired data, a dynamic weight model is used to calculate the remaining life of the electric tool;

[0067] S3, scrapping execution, triggering a multi-level warning mechanism based on the remaining life, when the remaining life is lower than a preset threshold, locking the target electric tool in stages, and transmitting the target electric tool status data back to the dynamic weight model to correct the dynamic weight model parameters.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent storage system for electric tools, characterized by: include: a storage cabinet comprising at least one storage space; A data acquisition module comprising a scanning device and at least one multimodal sensing module, wherein the scanning device is configured to read the identity parameters of the power tool by scanning the power tool tag, and the multimodal sensing module is configured to collect operating status data and environmental data of the power tool; a life assessment module, connected to the data acquisition module, equipped with an edge computing unit and a local database, and configured to assess the remaining life of the electric tool using a dynamic weight model; The scrapping execution module is connected to the life assessment module and is configured to adopt a multi-level early warning mechanism to lock the electric tool in a hierarchical manner and transmit the status data of the electric tool back to the life assessment module to correct the dynamic weight model parameters.

2. The intelligent storage system for electric tools according to claim 1, characterized in that: The storage cabinet is composed of a cabinet body and a plurality of independent cabinet doors pivotally connected thereto. The interior of the cabinet body is divided into a plurality of independent storage spaces by partitions. Each storage space is equipped with a single cabinet door, and the cabinet door and the storage space are in a one-to-one opening and closing relationship.

3. The intelligent storage system for electric tools according to claim 1, characterized in that: The multimodal sensing module includes a magnetic sensor, a current detection sensor, a vibration sensor, and a temperature and humidity sensor, wherein: The magnetic sensor detects changes in magnetic field strength or direction, counts the number of starts and stops of the electric tool, and calculates the number of uses. If the interval between two adjacent starts and stops exceeds a set threshold, it is recorded as one complete use. The current detection sensor records the single working time of the electric tool by detecting the change of current data and calculates the cumulative working hours; The vibration sensor is used to monitor the vibration acceleration and vibration duration of the electric tool in real time; The temperature and humidity sensor is used to monitor the temperature and humidity data of the electric tool in real time when it is in use or stored.

4. The intelligent storage system for electric tools according to claim 1, wherein: It also includes a security protection module, a positioning and status update module, and a visual monitoring and early warning module, among which: The security protection module implements access control and environmental risk blocking through the dual mechanisms of access control interlocking and environmental perception; The positioning and status update module integrates the spatial positioning engine and status event triggers to dynamically maintain tool position and working condition mapping; The visual monitoring and early warning module deploys a multimodal interactive terminal to perform status visual monitoring and graded alarm broadcasting.

5. The intelligent storage system for electric tools according to claim 4, characterized in that: The security protection module includes an access control linkage unit and an environmental monitoring unit, wherein: The access control linkage unit communicates with the scrapping execution module through protocol, and implements life lock state interlocking control based on the dual authentication mechanism of biometrics and NFC; The environmental monitoring unit is connected to the data acquisition module and is configured to monitor the smoke concentration and combustible gas concentration of the storage environment in real time, and integrate the temperature and humidity data to determine the environmental hazard status.

6. The intelligent storage system for electric tools according to claim 5, characterized in that: The positioning and status update module includes a positioning unit and a status change unit, wherein: The positioning unit is connected to the data acquisition module, deploys high-precision positioning beacons, generates access trajectory data and synchronizes it to the data acquisition module; The state changing unit is connected to the life assessment module, collects the current state of the electric tool in real time, transmits the current state back to the life assessment module, and resets the remaining life parameter of the electric tool.

7. The intelligent storage system for electric tools according to claim 6, characterized in that: The visual monitoring and warning module includes a display and a voice broadcast device, wherein: The display is connected to the life assessment module, the data acquisition module and the positioning unit, and is integrated with the remaining life thermal map, the tool positioning topology map and the environmental risk hot zone for superimposed display; The voice broadcasting device is connected to the scrapping execution module, the environmental monitoring unit and the positioning unit, broadcasts the coordinate information according to the urgency level of the locked electric tool, and synchronously triggers the environmental risk evacuation guidance protocol.

8. The intelligent storage system for electric tools according to claim 1, characterized in that: The storage space is provided with an intelligent charging module and a battery locking module, wherein: The intelligent charging module is connected to the data acquisition module and is used to compare the real-time monitoring value of the state of charge of the lithium battery of the electric tool with a set threshold value. When the real-time monitoring value is lower than the set threshold value, trickle charging is automatically triggered to maintain the lithium battery current within the optimal storage range; The battery locking module is connected to the intelligent charging module and is used to detect whether the lithium battery of the electric tool has been correctly separated and stored, and transmit the detection result to the intelligent charging module.

9. An intelligent storage method for electric tools, characterized by: An intelligent storage system for electric tools as claimed in any one of claims 1 to 8.

10. The intelligent storage method for electric tools according to claim 9, characterized in that: include: Data collection: scanning the electric tool tag to obtain the identity parameters of the electric tool, and then collecting and obtaining the operating status data and environmental data of the electric tool; Life assessment, based on the acquired data, using a dynamic weight model to calculate the remaining life of the electric tool; Scrap execution triggers a multi-level warning mechanism based on the remaining life. When the remaining life is lower than a preset threshold, the target electric tool is locked in stages, and the status data of the target electric tool is fed back to the dynamic weight model to correct the dynamic weight model parameters.

Images