Intelligent storage management device for vehicle-mounted safety tools and instruments

Abstract

The invention discloses an intelligent storage management device for vehicle-mounted safety tools and instruments, relates to the technical field of intelligent storage of vehicle-mounted instruments, and aims to solve the problems of poor hysteresis and inconvenience in management of the vehicle-mounted safety tools and instruments. According to the invention, the unique electronic tag is matched with the card reader, and a pressure sensor wake-up mechanism is combined, so that automatic identification and state labeling of tool access are realized; a three-dimensional coordinate system is established through laser ranging, the positions and moving tracks of the tools are accurately determined by combining a triangulation positioning method and interpolation calculation during shielding, the problems of traditional recognition fuzziness and positioning lag are solved, special sensors are deployed for different types of tools, monitoring is automatically activated, data are associated, and trend analysis and service life prediction are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent storage of vehicle-mounted tools, in particular to an intelligent storage and management device for vehicle-mounted safety tools. BACKGROUND

[0002] In the prior art, the management of vehicle-mounted safety tools relies on manual registration, which has many defects: identity verification relies on keys or passwords, which is cumbersome and easy to leak; tool storage is disordered, and it takes time to use; state monitoring relies on regular manual inspection, which is strongly lagging and difficult to find problems such as insulation failure and metal corrosion in time; permission management is chaotic, and unauthorized operations are prone to occur; data is stored in scattered form, lacks effective analysis and early warning mechanism, and the management efficiency is low and there are safety hazards. SUMMARY

[0003] The purpose of the present application is to provide an intelligent storage and management device for vehicle-mounted safety tools, which realizes automatic identification and state labeling of tool access by cooperating unique electronic tags with card readers and combining pressure sensor wake-up mechanism; establishes a three-dimensional coordinate system by laser ranging, combines the interpolation calculation when shielding, and accurately determines the position and movement trajectory of the tool, solves the problems of traditional identification ambiguity and positioning lag, deploys special sensors for different types of tools, automatically activates monitoring and associates data, realizes trend analysis and life prediction, and can solve the problems in the prior art.

[0004] To achieve the above purpose, the present application provides the following technical scheme:

[0005] The intelligent storage and management device for vehicle-mounted safety tools comprises an intelligent storage device and a storage management system, and the storage management system is used to manage and monitor the vehicle-mounted tools stored in the intelligent storage device;

[0006] The intelligent storage device comprises a cabinet body, an upper layered drawer and a lower layered drawer are arranged in the cabinet body, an identity verification machine is installed on one side of the cabinet body, and an electromagnetic lock is installed on the upper layered drawer and the lower layered drawer; wherein the identity verification machine is a fingerprint input and face recognition all-in-one machine, the permission level of the operator is matched with the operation range of the tool in real time, and the electromagnetic lock is automatically opened and closed according to the identity verification result and the permission rules;

[0007] The inside of the upper layered drawer and the lower layered drawer is provided with a partition plate, a card reader is installed at the top end of each partition plate, and a pressure sensor is installed at the bottom end of each partition plate; the inside of the layered drawer is divided into independent storage areas by the partition plate, the storage state of the tool is automatically identified in combination with the real-time feedback of the pressure sensor, the card reader in the sleep state is automatically woken up after the tool storage action is detected by the pressure sensor, and the card reader is used to identify the unique electronic tag on the surface of the safety tool.

[0008] Preferably, the storage management system comprises:

[0009] An instrument identification module is configured to identify various types of safety instruments stored in the intelligent storage device;

[0010] An instrument positioning module is configured to determine the specific position of the safety instruments in the intelligent storage device in real time;

[0011] An instrument state monitoring module is configured to monitor the state of each positioned safety instrument in real time;

[0012] An instrument access management module is configured to manage the access permission and access record of each safety instrument;

[0013] An instrument information storage module is configured to organize and store the overall data of each safety instrument;

[0014] An alarm processing module is configured to analyze the overall data of the organized safety instruments, detect abnormalities, and make a pre-warning judgment based on the abnormal detection results.

[0015] Preferably, the instrument identification module is further configured to:

[0016] A unique electronic tag is installed on the surface of each safety instrument, wherein the unique electronic tag stores the model, number, and specifications of the safety instrument;

[0017] A plurality of card readers are arranged inside the intelligent storage device;

[0018] When the safety instrument is placed in the intelligent storage device, the pressure sensor inside the intelligent storage device is automatically triggered, the pressure sensor wakes up the card reader in a dormant state, and the card reader starts radio frequency signal scanning;

[0019] After the electronic tag receives the radio frequency signal, it obtains energy through electromagnetic coupling and activates, and returns its unique identifier and stored instrument information to the card reader;

[0020] The card reader performs CRC verification on the received data, converts the verified data into readable data, and labels the readable data as a stored tool;

[0021] When the safety instrument is taken out, the electronic tag leaves the sensing range of the card reader, the information strength received by the card reader decreases, and when the signal strength is detected to decrease for three consecutive times, the readable data is labeled as a taken-out tool;

[0022] Finally, the identification of the safety instruments stored in the intelligent storage device is completed.

[0023] Preferably, the pressure sensor 8 wakes up the card reader 7 in a dormant state, including:

[0024] The pressure data collected by the pressure sensor 8 within the preset trigger time period is pre-processed and then sequentially constructed to obtain a pressure analysis data set;

[0025] The pressure analysis data set received by the pressure sensor 8 within the preset trigger time period is compared with the set pressure trigger threshold of the safety tool to obtain trigger pressure data; the trigger pressure data is the pressure data in the pressure analysis data set that exceeds the set pressure trigger threshold;

[0026] The data proportion of the trigger pressure data in the pressure analysis data set is obtained;

[0027] When the data proportion and the maximum pressure change amplitude in the pressure analysis data set both satisfy the set pressure trigger constraint of the safety tool, the pressure sensor generates a wake-up instruction;

[0028] When the data proportion satisfies the corresponding set pressure trigger constraint of the safety tool, and the maximum pressure change amplitude in the pressure analysis data set does not satisfy the corresponding set pressure trigger constraint, the time interval between the collection time of the maximum pressure value and the minimum pressure value in the pressure analysis data set and the current time is obtained, respectively, to obtain a first time interval and a second time interval;

[0029] In the case where the first time interval does not exceed a first preset interval threshold, and the pressure data at the current time is not less than the set pressure trigger threshold, the pressure sensor 8 generates a wake-up instruction;

[0030] In the case where the second time interval exceeds a second preset interval threshold, and the pressure change trend in the corresponding time period of the second time interval satisfies the trigger change trend constraint of the safety tool, the pressure sensor 8 generates a wake-up instruction;

[0031] When the data proportion does not satisfy the corresponding set pressure trigger constraint of the safety tool, and the maximum pressure change amplitude in the pressure analysis data set satisfies the corresponding set pressure trigger constraint, the trigger pressure data closest to the current time in the sampling time is marked as reference pressure data, and the sampling time of the reference pressure data is marked as reference time;

[0032] In the case where the third time interval between the reference time and the current time does not exceed a third preset interval threshold, or the pressure change trend in the corresponding time period of the third time interval satisfies the trigger change trend constraint of the safety tool, the pressure sensor 8 generates a wake-up instruction;

[0033] According to the wake-up instruction, the pressure sensor 8 wakes up the card reader 7 in the sleep state.

[0034] Preferably, the tool positioning module is further configured to:

[0035] The physical coordinates of each card reader are measured by a laser ranging tool, and the three-dimensional coordinate system of each card reader is obtained after the measurement is completed;

[0036] When the safety tool is recognized by the card reader in the intelligent storage device, the signal strength and timestamp of the recognized card reader are collected;

[0037] According to the signal strength, timestamp, and three-dimensional coordinates of the card reader, the straight-line distance of the recognized safety tool is calculated, wherein the triangular positioning method is used for calculation;

[0038] After the calculation is completed, the drawer layer and specific position corresponding to the recognized safety tool are obtained;

[0039] When the safety tool is moved in the intelligent storage device, the signal strength received by the card reader will change in real time with the change of position, and then the moving track is generated by continuously solving the coordinate value, and finally the drawer layer and specific position of the recognized safety tool are generated;

[0040] If the safety tool is blocked, the historical data of the adjacent area is automatically called for interpolation calculation, and the position of the safety tool is calculated after interpolation calculation;

[0041] Finally, the specific position recognition of the safety tool in the intelligent storage device is completed.

[0042] Preferably, the tool state monitoring module is further used for:

[0043] According to the characteristics of different types of safety tools, special sensors are deployed in the corresponding storage positions in the intelligent storage device;

[0044] Among them, the safety tool includes insulating tools, metal tools and electronic tools, the insulating tools are configured with surface resistance sensors and micro pressure sensors; the metal tools are configured with humidity sensors and magnetic sensors; and the electronic tools are configured with voltage detection probes;

[0045] The normal state parameter range of each safety tool is set;

[0046] After the specific position of the safety tool is confirmed, the corresponding sensor of the position is automatically activated and real-time monitoring is performed;

[0047] The sensor synchronously collects the tool automatic state and environmental influence data of the safety tool;

[0048] The synchronously collected data is associated with the unique electronic tag;

[0049] The associated data is subjected to validity check, and trend analysis and life prediction are performed according to the validity check result, wherein, the trend analysis is performed according to the historical data of the safety tool, and the next check time is automatically calculated according to the periodic check requirement of the safety tool;

[0050] The safety tool is subjected to state judgment according to the validity check result, including abnormal state, normal state and attention state;

[0051] Finally, the state monitoring data of each safety tool is obtained.

[0052] Preferably, the safety tool is subjected to state judgment according to the validity check result, including:

[0053] Based on the historical check records of the safety tool within a preset historical time period, the check change score is determined;

[0054] The attention threshold range of the last check is adjusted by using the check change score;

[0055] When the validity check result of the safety tool exceeds the normal state threshold range, the state of the safety tool is determined as abnormal state;

[0056] When the validity check result of the safety tool does not exceed the normal state threshold range, and exceeds the adjusted attention threshold, the state of the safety tool is determined as attention state;

[0057] Otherwise, the state of the safety tool is determined as normal state.

[0058] Preferably, the tool access management module is further used for:

[0059] First, the basic information of the staff is collected, including name, post, responsibility and department, and then the staff is classified, including operators, managers and maintenance personnel;

[0060] According to the danger, importance and use scene of the safety tool, different permission levels are divided, and the range of safety tools corresponding to each permission level is confirmed;

[0061] According to the classification of the staff and the division of the permission levels of the safety tools, the permission association matrix is established, and each staff is assigned a corresponding permission level after the establishment, and the list of safety tools operated by the staff is confirmed; meanwhile, the staff operating range of each safety tool is marked, and a two-way permission mapping relationship is formed;

[0062] When the staff performs safety tool access operation, the unique electronic tag information of the safety tool is acquired, and the staff identity information is collected through the identity verification device;

[0063] When the identity of the worker is verified, whether the worker has the right to operate the safety tool is verified according to the right association matrix;

[0064] After the operation is completed, the access record is automatically generated, including the user identity information, the unique identification of the tool, the operation type, the operation time, the operation place, the operation result and the abnormality explanation;

[0065] Finally, the information management of each safety tool is completed.

[0066] Preferably, the tool information storage module is further used for:

[0067] The full data of the safety tool is collected, including the basic information provided by the tool identification module, the position data provided by the tool positioning module, the state data provided by the tool state monitoring module and the right and operation data provided by the tool access management module;

[0068] The collected data is subjected to validity verification, and the validity verification is the integrity check, the abnormal data elimination and the missing data supplement on the collected data;

[0069] The data subjected to the validity verification is classified according to the data attributes, including the basic file type, the dynamic state type, the operation record type and the analysis and prediction type;

[0070] The classified data is subjected to local and cloud hierarchical storage, and the stored data is subjected to archiving processing according to the time dimension;

[0071] The data subjected to the archiving processing is subjected to data encryption and data backup;

[0072] Finally, the information storage of the tool information is completed.

[0073] Preferably, the alarm processing module is further used for:

[0074] The overall data of the safety tool is subjected to data preprocessing;

[0075] The preprocessed data is subjected to multi-dimensional comprehensive analysis, and the multi-dimensional comprehensive analysis includes the state trend analysis, the position rationality analysis, the operation compliance analysis and the correlation analysis;

[0076] The state trend analysis is the analysis of the change trend of each safety tool parameter according to the historical state data of the safety tool; the position rationality analysis is the analysis of the rationality of the storage position and the moving track according to the position data of the safety tool; the operation compliance analysis is the verification of the operation compliance according to the access operation record of the safety tool; and the correlation analysis is the identification of the potential abnormality according to the correlation rules of the multi-dimensional data;

[0077] Further set abnormality detection rules, including static threshold rules, dynamic trend rules, behavior compliance rules and time limit rules;

[0078] According to the set abnormality detection rules, the multi-dimensional comprehensive analysis results of the safety tool are divided into abnormality levels, including emergency abnormality, important abnormality and general abnormality;

[0079] Further, according to the abnormality level and the abnormality type, the corresponding early warning mode is automatically matched, and early warning information is generated. The generated early warning information includes the unique identification of the abnormal tool, the abnormality type, the specific value of the abnormality parameter, the associated data and the suggested treatment measures;

[0080] Finally, the generated early warning information is sent to a display terminal for data display, and a worker performs early warning execution processing according to the displayed data.

[0081] Compared with the prior art, the beneficial effects of the present application are as follows:

[0082] 1. The vehicle-mounted safety tool intelligent storage management device provided by the present application realizes automatic recognition and state labeling of tool storage and access through the cooperation of a unique electronic tag and a card reader combined with a pressure sensor wake-up mechanism; a three-dimensional coordinate system is established by laser ranging, combined with the interpolation calculation in the shielding state, the position and movement trajectory of the tool are accurately determined, and the problems of traditional identification ambiguity and positioning lag are solved.

[0083] 2. The vehicle-mounted safety tool intelligent storage management device provided by the present application deploys special sensors for different types of tools, automatically activates monitoring and associates data, realizes trend analysis and life prediction; a two-way permission mapping of personnel and tools is established, through identity verification and permission checking, operation is automatically recorded, unauthorized use is strictly prevented, and management security is improved.

[0084] 3. The vehicle-mounted safety tool intelligent storage management device provided by the present application adopts local and cloud hierarchical storage and encrypted backup after full data verification and classification; the alarm processing module analyzes the data in multiple dimensions, divides the abnormality level according to the rules, matches the early warning mode and generates the treatment suggestion, forms a closed-loop management from monitoring to early warning, and improves the response efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0085] Fig. 1 It is a structure schematic view of the vehicle-mounted safety tool intelligent storage management device of the present application;

[0086] Fig. 2 It is a schematic view of the internal structure of the layered drawer of the present application;

[0087] Fig. 3 It is a schematic view of the vehicle-mounted safety tool intelligent storage management module of the present application.

[0088] In the figure: 1, cabinet body; 2, upper layered drawer; 3, lower layered drawer; 4, identity verification machine; 5, electromagnetic lock; 6, partition; 7, card reader; 8, pressure sensor. DETAILED DESCRIPTION

[0089] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0090] In order to solve the problems of cumbersome identity verification, manual operation of locks, disordered storage, and state recognition lag of vehicle-mounted safety tools in the prior art, which lead to low management efficiency and insufficient safety, please refer to Figs. 1-3 The technical solutions of the present embodiment are as follows:

[0091] The vehicle-mounted safety tool intelligent storage management device comprises an intelligent storage device and a storage management system, and the storage management system is used for managing and monitoring the vehicle-mounted tools stored in the intelligent storage device.

[0092] The intelligent storage device comprises a cabinet body 1, and the cabinet body 1 is internally provided with an upper layered drawer 2 and a lower layered drawer 3. An identity verification machine 4 is installed on one side of the cabinet body 1. An electromagnetic lock 5 is installed on each of the upper layered drawer 2 and the lower layered drawer 3. The identity verification machine 4 is a fingerprint input and face recognition all-in-one machine, which matches the operation personnel's permission level with the tool operation range in real time. The electromagnetic lock 5 is automatically opened and closed according to the identity verification result and the permission rules.

[0093] The upper layered drawer 2 and the lower layered drawer 3 are internally provided with partitions 6. A card reader 7 is installed at the top end of each partition 6, and a pressure sensor 8 is installed at the bottom end of each partition 6. The layered drawer is divided into independent storage areas by the partitions 6. In combination with the real-time feedback of the pressure sensor 8, the storage state of the tools is automatically recognized. After the pressure sensor 8 detects the tool storage action, the card reader 7 in the sleep state is automatically woken up. The card reader 7 is used for identifying the unique electronic tag on the surface of the safety tool.

[0094] Specifically, by dividing the independent storage area with the upper layered drawer 2 and the lower layered drawer 3 and the partition 6, the limited space of the vehicle-mounted environment is adapted, the tools are classified and stored in order, the space utilization rate of the cabinet 1 is improved, the compactness requirement of the vehicle-mounted scene is met, the identity verification machine 4 adopting fingerprint and face recognition is used, the operation personnel authority and the tool operation range are matched in real time, the automatic opening and closing mechanism of the electromagnetic lock 5 is combined to form a closed-loop safety management of "identity verification, authority determination and lock control", unauthorized operation is strictly prevented, the safety of the tool use is ensured, the card reader 7 is automatically awakened after the tool storage action is detected by the pressure sensor 8, the storage state is automatically judged by combining the electronic tag identification, manual intervention is not needed; the electromagnetic lock 5 automatically responds according to the authority result, the manual operation steps are reduced, the storage and taking efficiency is improved, the storage state is fed back in real time by the pressure sensor 8, the tool information is accurately identified by the card reader 7, the monitoring function of the storage management system is combined to realize the dynamic whole-process visualization of the tool, the management personnel can master the inventory and use condition in real time, the characteristics of the vehicle-mounted environment such as vibration and space limitation are considered, the modular design and anti-interference components are used to ensure that the functions such as identity verification and state identification can stably operate in the mobile scene, and safety and practicality are considered.

[0095] In order to solve the problems that the safety tool in the prior art has low identification efficiency, insufficient positioning accuracy, lagging state monitoring and poor adaptability, lacks data correlation and trend analysis, and leads to inefficient management and inaccurate state control, please refer to Figs. 1-3 The embodiment provides the following technical scheme:

[0096] The storage management system comprises:

[0097] The tool identification module is used for identifying various safety tools stored in the intelligent storage device.

[0098] The tool positioning module is used for determining the specific position of the safety tool in the intelligent storage device in real time.

[0099] The tool state monitoring module is used for monitoring the state of each positioned safety tool in real time.

[0100] The tool access management module is used for information management of the access authority and access record of each safety tool.

[0101] The tool information storage module is used for collating and storing the overall data of each safety tool.

[0102] The alarm processing module is used for analyzing the overall data of the collated safety tool and detecting abnormalities, and making a warning judgment according to the abnormal detection result.

[0103] The tool identification module is also used for:

[0104] A unique electronic tag is installed on the surface of each safety tool, wherein the unique electronic tag stores the model, number and specifications of the safety tool;

[0105] A plurality of card readers 7 are arranged inside the intelligent storage device;

[0106] When the safety tool is placed in the intelligent storage device, the pressure sensor 8 inside the intelligent storage device is automatically triggered, the pressure sensor 8 wakes up the card reader 7 in the sleep state, and the card reader 7 starts signal scanning by radio frequency;

[0107] After the electronic tag receives the radio frequency signal, it obtains energy through electromagnetic coupling and activates, and returns its unique identifier and stored tool information to the card reader 7;

[0108] The card reader 7 performs CRC check on the received data, converts the data that passes the check into readable data, and marks the readable data as stored tools;

[0109] When the safety tool is taken out, the electronic tag leaves the sensing range of the card reader 7, and the information strength received by the card reader 7 decreases. When the signal strength decreases for three consecutive times, the readable data is marked as taken-out tools;

[0110] Finally, the identification of the safety tools stored in the intelligent storage device is completed.

[0111] Specifically, through automatic induction of the electronic tag and the card reader 7, combined with the pressure sensor 8 triggering the wake-up mechanism, the storage and removal state of the tool can be automatically captured and recorded, completely getting rid of the tediousness of manual registration, greatly improving the management efficiency. The electronic tag stores a unique identifier and detailed parameters, and cooperates with the CRC check mechanism of the card reader 7 to ensure the accuracy of data transmission. The three times of signal strength decrease detection can effectively avoid misidentification caused by temporary shielding and the like, and ensure the reliability of state judgment. The card reader 7 is in sleep mode in the non-working state, and is awakened only by the pressure sensor 8, which can significantly reduce energy consumption. At the same time, the electronic tag obtains energy through electromagnetic coupling, without the need for an internal battery, reducing maintenance cost and replacement frequency. The electronic tag can automatically record the storage and access information of the tool, form a complete use account, and provide reliable data support for subsequent inventory checking, fault tracing, life cycle management and the like, especially suitable for scenes with strict management requirements for safety tools.

[0112] The pressure sensor 8 wakes up the card reader 7 in the sleep state, comprising:

[0113] After data preprocessing of the pressure data collected by the pressure sensor 8 in the preset triggering time period, the pressure analysis data set is constructed in sequence;

[0114] The pressure analysis data set received by the pressure sensor 8 in the preset trigger time period is compared with the set pressure trigger threshold of the safety tool to obtain trigger pressure data; the trigger pressure data is the pressure data in the pressure analysis data set that exceeds the set pressure trigger threshold;

[0115] The data proportion of the trigger pressure data in the pressure analysis data set is obtained;

[0116] When the data proportion and the maximum pressure change amplitude in the pressure analysis data set both satisfy the set pressure trigger constraint of the safety tool, the pressure sensor generates a wake-up instruction;

[0117] When the data proportion satisfies the corresponding set pressure trigger constraint of the safety tool, and the maximum pressure change amplitude in the pressure analysis data set does not satisfy the corresponding set pressure trigger constraint, the time interval between the collection time of the maximum pressure value and the minimum pressure value in the pressure analysis data set and the current time is obtained, respectively, to correspondingly obtain a first time interval and a second time interval;

[0118] In the case where the first time interval does not exceed a first preset interval threshold, and the pressure data at the current time is not less than the set pressure trigger threshold, the pressure sensor 8 generates a wake-up instruction;

[0119] In the case where the second time interval exceeds a second preset interval threshold, and the pressure change trend in the corresponding time period of the second time interval satisfies the trigger change trend constraint of the safety tool, the pressure sensor 8 generates a wake-up instruction;

[0120] When the data proportion does not satisfy the corresponding set pressure trigger constraint of the safety tool, and the maximum pressure change amplitude in the pressure analysis data set satisfies the corresponding set pressure trigger constraint, the trigger pressure data closest to the current time in the sampling time is marked as reference pressure data, and the sampling time of the reference pressure data is marked as a reference time;

[0121] In the case where the third time interval between the reference time and the current time does not exceed a third preset interval threshold, or the pressure change trend in the corresponding time period of the third time interval satisfies the trigger change trend constraint of the safety tool, the pressure sensor 8 generates a wake-up instruction;

[0122] According to the wake-up instruction, the pressure sensor 8 wakes up the card reader 7 in the sleep state.

[0123] The preset trigger time period is pre-set, which is a time range for collecting pressure data received by the pressure sensor, for example, 5s. The pressure data is the pressure value collected by the pressure sensor from the start of the safety tool being placed in the intelligent storage device.

[0124] The pressure analysis dataset is a data set constructed in time sequence after data preprocessing (such as filtering, denoising, etc.) is performed on the original pressure data (including the pressure data at the current time) received by the pressure sensor within a preset trigger time period.

[0125] The set pressure trigger threshold is a pressure threshold value for judging whether the pressure detected by the pressure sensor reaches the condition for triggering the card reader to wake up, which is set in advance based on the average weight of the safety tool, the carrying capacity of the storage device, and expert experience. When the pressure data in the pressure analysis dataset exceeds this threshold, it indicates that the safety tool may have been placed in the storage device. Safety tools of different weights have different set pressure trigger thresholds.

[0126] The trigger pressure data is the pressure data in the pressure analysis dataset whose pressure value exceeds the set pressure trigger threshold. The data proportion is the proportion of the trigger pressure data in the pressure analysis dataset.

[0127] The data proportion is used to represent the distribution of the pressure data exceeding the set pressure trigger threshold in the entire dataset. The maximum pressure change amplitude is the absolute pressure difference between the maximum pressure value and the minimum pressure value in the pressure analysis dataset.

[0128] The set pressure trigger constraint is a series of judgment conditions set in advance for the safety tool based on the normal pressure change characteristics (such as the regularity of pressure rise and fall) during the process of placing the safety tool in the storage device, including but not limited to the proportion of pressure data exceeding the set pressure trigger threshold, the pressure change amplitude, the pressure change duration, the pressure change rate (including the rise rate and the fall rate), etc. The set pressure trigger constraint is used to accurately identify the tool placement event and avoid misjudgment.

[0129] For example, assuming that the data proportion of the trigger pressure data of the safety tool in the pressure analysis dataset is 0.8, corresponding to a maximum pressure change amplitude of 3 units of pressure; according to the corresponding set pressure trigger constraint of the current data proportion of the safety tool: ≥0.8, and the corresponding set pressure trigger constraint of the maximum pressure change amplitude: ≤5 units of pressure, it can be known that the data proportion and the maximum pressure change amplitude of the current safety tool both satisfy the corresponding set pressure trigger constraint, and the pressure sensor generates a wake-up instruction.

[0130] The collection time is the specific time point at which the pressure sensor collects pressure data.

[0131] The first time interval is the time interval between the collection time of the minimum pressure value in the pressure analysis dataset and the current time; the second time interval is the time interval between the collection time of the maximum pressure value in the pressure analysis dataset and the current time.

[0132] The first preset time interval is set in advance based on the time required for the pressure to reach a stable state after the safety tool is placed in the storage device, and is used to represent the time when the maximum pressure value is collected, that is, the time when the safety tool is completely placed in the intelligent storage device, and a reasonable time difference range from the current time. When the first preset time interval exceeds the first preset time interval, it indicates that the safety tool may not be placed in the storage device at the current time.

[0133] The second preset time interval is a preset interval threshold based on the time required for the pressure to change significantly after the safety tool is placed in the storage device. Since the pressure does not change significantly immediately after the safety tool is placed in the storage device, a certain time is required. Therefore, when the second time interval exceeds the second preset interval threshold, it indicates that the safety tool still has time to perform the storage device placement operation.

[0134] The corresponding time period of the second time interval is a time period with the collection time of the minimum pressure value in the pressure analysis data set as the starting time and the current time as the ending time.

[0135] The pressure change trend is the law of change of pressure with time, including but not limited to upward trend, downward trend. The pressure change trend can be determined by analyzing the difference between adjacent pressure data points in the pressure analysis data set.

[0136] The trigger change trend constraint of the safety tool is a judgment condition that is set in advance according to the normal pressure change trend when the safety tool is placed in the storage device, and is composed of the pressure change trend and the corresponding change rate.

[0137] For example, assuming that the data proportion of the safety tool meets the corresponding set pressure trigger constraint, but the maximum pressure change amplitude of the pressure analysis data set does not meet the condition, the pressure change trend in the corresponding time period of the second time interval is: the pressure change trend in the first 2s is a rapid upward trend, and the corresponding upward change rate is 0.5 units of pressure per second. In the remaining time after reaching the pressure peak, the downward change rate is 0.2 units of pressure per second.

[0138] According to the current trigger change trend constraint of the safety tool: the upward change rate is not less than 0.3 units of pressure per second, and the downward change rate is not greater than 0.3 units of pressure per second, it can be known that the pressure change trend in the corresponding time period of the second time interval of the current safety tool meets the trigger change trend constraint of the safety tool, and the pressure sensor 8 generates a wake-up instruction.

[0139] The reference pressure data is the trigger pressure data closest to the current time in sampling time; the reference time is the sampling time of the reference pressure data. The third time interval is the time interval between the reference time and the current time.

[0140] The third preset interval threshold value is set based on the time required for the pressure to reach a stable state after the safety tool is possibly placed in the storage device in advance, and is used to represent the reference time point, that is, the time point closest to the current time at which the safety tool is possibly completely placed in the smart storage device, and a reasonable time difference range from the current time.

[0141] The corresponding time period of the third time interval is a time period with the reference time point as a starting time point and the current time as an ending time point.

[0142] The wake-up instruction is a control signal generated by the pressure sensor for waking up the card reader in the sleep state.

[0143] The technical scheme has the beneficial effects that: after the pressure data proportion screened based on the pressure threshold comparison, the pressure change amplitude and the set pressure trigger of the safety tool are used for preliminary judgment, and then the pressure change characteristics in the process of placing the safety tool in the storage device are further analyzed, the placing of the safety tool is accurately recognized in multiple dimensions, the false wake-up and missed wake-up caused by a single factor or abnormal placing are effectively avoided, the accuracy and reliability of the wake-up of the card reader in the smart storage device are improved, and the accurate recording of the storage state of the tool is ensured, and the management accuracy is improved.

[0144] The working principle of the technical scheme is that: first, the original pressure data collected in the preset trigger time period is preprocessed and a pressure analysis data set is constructed to provide a data basis for subsequent pressure change analysis and response wake-up; then, the pressure analysis data set is compared with the set pressure trigger threshold value of the safety tool, the trigger pressure data exceeding the threshold value is screened and its proportion is calculated, and when the data proportion and the maximum pressure change amplitude in the pressure analysis data set both meet the set pressure trigger constraint, it is determined that the current safety tool pressure change meets the normal characteristics of the safety tool placement, and the pressure sensor directly generates a wake-up instruction to wake up the card reader in the sleep state; then, when only the data proportion meets the constraint, the time intervals (first time interval and second time interval) of the maximum and minimum pressure value collection time points and the current time are calculated, and if the first time interval does not exceed the first preset threshold value and the current pressure is not less than the threshold value, or the second time interval exceeds the second preset threshold value and the pressure change trend in the corresponding time period meets the trigger change trend constraint, it is determined that the current safety tool pressure change meets the normal characteristics of the safety tool placement, and the pressure sensor directly generates a wake-up instruction to wake up the card reader in the sleep state; when only the maximum pressure change amplitude meets the constraint, the latest trigger pressure data is marked as the reference pressure data and the corresponding time point is marked as the reference time point, and if the third time interval of the reference time point and the current time does not exceed the third preset threshold value, or the pressure change trend in the corresponding time period meets the constraint, it is determined that the current safety tool pressure change meets the normal characteristics of the safety tool placement, and the pressure sensor also generates a wake-up instruction to wake up the card reader in the sleep state.

[0145] The tool positioning module is further configured to:

[0146] measure the physical coordinates of each card reader 7 using a laser ranging tool, and obtain a three-dimensional coordinate system of each card reader 7 after the measurement is completed;

[0147] collect the signal strength and timestamp of the identified card reader 7 when the safety tool is identified by the card reader 7 in the intelligent storage device;

[0148] calculate the straight-line distance of the identified safety tool according to the signal strength, timestamp, and three-dimensional coordinates of the card reader 7, wherein the triangular positioning method is used for calculation;

[0149] obtain the corresponding drawer layer and specific position of the identified safety tool after the calculation is completed;

[0150] When the safety tool is moved in the intelligent storage device, the signal strength received by the card reader 7 will change in real time with the change of position, and then the moving track is generated by continuously solving the coordinate value, and finally the drawer layer and specific position of the identified safety tool are generated;

[0151] If the safety tool is blocked, the historical data of the adjacent area is automatically called for interpolation calculation, and the position of the safety tool is calculated after the interpolation calculation;

[0152] Finally, the specific position recognition of the safety tool in the intelligent storage device is completed.

[0153] Specifically, the three-dimensional coordinate system of the card reader 7 is established by laser ranging, and the straight-line distance is calculated by the triangular positioning method, which can accurately determine the drawer layer and specific position of the tool, realize millimeter-level spatial positioning, solve the problem of traditional positioning ambiguity, when the tool moves, the system continuously solves the coordinates by the real-time change of signal strength, generates the moving track and updates the position information, ensures the immediacy of position data in the dynamic process, avoids lag error, for the shielding scene, the historical data of the adjacent area is automatically called for interpolation calculation, the position is calculated through the data completion technology, effectively overcomes the positioning failure caused by signal shielding, guarantees the positioning stability in complex environment, based on three-dimensional coordinate system and modular design, can adapt to different specifications of intelligent storage device, whether it is multi-layer drawer or three-dimensional grid, can realize accurate positioning.

[0154] The tool state monitoring module is further configured to:

[0155] According to the characteristics of different types of safety tools, deploy special sensors in the corresponding storage positions in the intelligent storage device;

[0156] The safety tool includes an insulation tool, a metal tool and an electronic tool, the insulation tool is provided with a surface resistance sensor and a micro pressure sensor 8, the metal tool is provided with a humidity sensor and a magnetic sensor, and the electronic tool is provided with a voltage detection probe;

[0157] The normal state parameter range of each safety tool is set;

[0158] When the specific position of the safety tool is confirmed, the sensor corresponding to the position is automatically activated and real-time monitoring is performed;

[0159] The sensor synchronously collects the tool automatic state and environmental influence data of the safety tool;

[0160] The synchronously collected data is associated through a unique electronic tag;

[0161] The associated data is subjected to validity verification, and trend analysis and life prediction are performed according to the validity verification result, wherein the trend analysis is performed according to the historical data of the safety tool, and the next verification time is automatically calculated according to the periodic verification requirement of the safety tool;

[0162] The safety tool is subjected to state judgment according to the validity verification result, including an abnormal state, a normal state and a caution state;

[0163] Finally, the state monitoring data of each safety tool is obtained.

[0164] Specifically, special sensors are deployed according to the characteristics of different safety tools such as insulation, metal and electronics, such as surface resistance sensors for insulation tools and humidity sensors for metal tools, to accurately capture the key state parameters of various tools and avoid one-sidedness of general monitoring. Through position confirmation, the corresponding sensor is automatically activated to realize real-time monitoring and synchronous data collection. Data association is completed by combining electronic tags, without manual operation throughout, which improves efficiency and reduces human error. Through validity verification, the data is ensured to be reliable, trend analysis and life prediction are performed relying on historical data, the next verification time is automatically calculated, closed-loop management from real-time state monitoring to future state prediction is realized, the tool state is subdivided into three categories of abnormal, normal and caution, potential problems can be accurately identified, maintenance measures can be taken in advance, safety risks caused by abnormal tool state can be avoided, and it is especially suitable for scenes with strict safety requirements. The table of characteristics of different safety tools is as follows:

[0165]

[0166] The safety tool is subjected to state judgment according to the validity verification result, including:

[0167] determine the check change score based on historical check records of the safety tool in a preset historical time period;

[0168] adjust the attention threshold range of the last check using the check change score;

[0169] when the validity check result of the safety tool exceeds the normal state threshold range, determine that the state of the safety tool is an abnormal state;

[0170] when the validity check result of the safety tool does not exceed the normal state threshold range and exceeds the adjusted attention threshold, determine that the state of the safety tool is an attention state;

[0171] otherwise, determine that the state of the safety tool is a normal state.

[0172] The validity check result is a conclusion obtained by comparing and analyzing various characteristic data (such as surface resistance, pressure data of insulation tools, humidity, magnetic data of metal tools, voltage data of electronic tools, etc.) of the safety tool collected by the sensor with a pre-set normal state parameter range, and is used to determine whether the safety tool is in a normal, attention or abnormal state.

[0173] The preset historical time period is pre-set and is used to obtain the time range of the historical check records (such as state values measured during previous checks, check results, etc.) of the safety tool, for example, 1 month.

[0174] The attention threshold is pre-set and is a transition interval value between the “normal state” and the “abnormal state”, which is used to warn potential risks in advance. By dynamically adjusting the threshold, the system can more sensitively capture the slight degradation of tool performance and avoid sudden failures.

[0175] The check change score is used to represent the degree of historical change of the characteristic data of the safety tool during the historical check period. The calculation formula of the check change score is as follows:

[0176]

[0177] In the formula, Z represents the check change score of the current safety tool, n1 represents the total number of times that the historical check state of the safety tool is an abnormal state in the preset historical time period, ω1 represents the influence weight of the abnormal state frequency on the analysis of the check change score, n2 represents the total number of times that the historical check state of the safety tool is an attention state in the preset historical time period, ω2 represents the influence weight of the attention state frequency on the analysis of the check change score, Δr0 represents the state difference absolute value corresponding to the historical check result exceeding the normal state threshold of the state of the abnormal state closest to the current time, and Δr avgThe abnormal state frequency and the attention state frequency are assigned weights by solving a matrix constructed by pairwise comparison and scoring using the analytic hierarchy process, and the value range is (0, 1).

[0178] The abnormal state frequency and the attention state frequency are assigned weights by solving a matrix constructed by pairwise comparison and scoring using the analytic hierarchy process, and the value range is (0, 1).

[0179] For example, assuming that the normal state threshold range of the safety tool a1 is ≤60%RH, the attention threshold range of the last check is ≤50%RH, and the check change score is z1, then the adjusted attention threshold range of the safety tool a1 is:

[0180] For example, assuming that the normal state threshold range of the safety tool a2 is 80-120mT, the attention threshold range of the last check is 90-100mT, and the corresponding check change score is z2.

[0181] At this time, the adjusted attention threshold range of the safety tool a2 is:

[0182] For example, assuming that the effectiveness check result of the safety tool a3 is 70%RH, which exceeds the normal state threshold range ≤60%RH, then the state of the current safety tool a3 is judged to be an abnormal state.

[0183] The beneficial effects of the above technical solutions are: by dynamically updating the attention threshold based on the historical check data of the safety tool, the attention threshold can be adjusted in a timely manner according to the changes in the actual performance of the safety tool, improving the accuracy and timeliness of the attention state judgment, and further ensuring the reliability of the early warning; by comparing the effectiveness check result with the normal state threshold range and the attention threshold, the state of the safety tool can be accurately identified, providing a basis for reasonable arrangement of use, maintenance and update, and effectively reducing safety risks.

[0184] In order to solve the problems of inaccurate identification, fuzzy positioning, state monitoring lag, chaotic access permission management, scattered data storage and untimely abnormal warning of the vehicle-mounted safety tool in the prior art, which leads to low management efficiency and safety hazards, please refer to Figs. 1-3 The embodiment provides the following technical solutions:

[0185] The tool access management module is also used for:

[0186] First, the basic information of the staff is collected, including name, position, responsibility and department, and then the staff is classified, including operators, managers and maintenance personnel;

[0187] According to the danger, importance and use scene of the safety tool, different permission levels are divided, and the range of safety tools corresponding to each permission level is confirmed;

[0188] According to the classification and permission level division of the staff, the permission association matrix is established, and the corresponding permission level is allocated to each staff after the establishment, and the list of safety tools operated by the staff is confirmed; At the same time, the staff operating range of each safety tool is marked, and a two-way permission mapping relationship is formed;

[0189] When the staff performs safety tool access operation, the unique electronic tag information of the safety tool is obtained, and the staff identity information is collected through the identity verification device;

[0190] When the staff's identity verification is passed, it is verified whether the staff has the permission to operate the safety tool according to the permission association matrix;

[0191] After operation, the access record is automatically generated, including user identity information, tool unique identification, operation type, operation time, operation place, operation result and exception description;

[0192] Finally, the information management of each safety tool is completed.

[0193] Specifically, the association matrix is established by classifying personnel and tool permission level, realizing two-way permission mapping, which not only clarifies the tool range that personnel can operate, but also limits the operable population of the tool, avoiding the risk of overstepping operation from the source. When operating, the identity and operation permission of the personnel are verified synchronously, forming a three-way verification mechanism of "identity, permission and tool", effectively preventing unauthorized access, especially suitable for the management and control of high-risk or high-value safety tools. Automatically generate full-factor records including user identity, tool identification, operation time, location, etc. Complete operation track, provide reliable basis for accident tracing, responsibility identification and compliance audit, meet the requirements of standardized management. From permission allocation to operation verification and record generation, the whole process is automated, reducing the omissions caused by manual intervention, reducing the workload of management personnel, and improving the operation efficiency of the overall management process.

[0194] The tool information storage module is also used for:

[0195] Collect the full amount of data of the safety tool, including the basic information provided by the tool identification module, the position data provided by the tool positioning module, the state data provided by the tool state monitoring module, and the permission and operation data provided by the tool access management module;

[0196] The collected data is subjected to validity verification, which is an integrity check, abnormal data elimination and missing data supplementation of the collected data;

[0197] The data subjected to validity verification is classified according to data attributes, including basic archive class, dynamic state class, operation record class and analysis prediction class;

[0198] The classified data is stored in local and cloud layers, and the stored data is archived according to time dimension;

[0199] The archived data is subjected to data encryption and backup;

[0200] Finally, the information storage of the tool information is completed.

[0201] Specifically, by collecting full-quantity data of tool identification, positioning, state monitoring and access management, breaking the data barriers between modules, building a complete data set covering the whole life cycle of tools and equipment, providing a basis for comprehensive analysis and management, through validity verification of integrity check, abnormal elimination and missing supplementation, the accuracy and consistency of the stored data are ensured, the influence of error data on decision-making is avoided, the data application value is improved, the data is classified according to attributes such as basic archive, dynamic state, combined with local and cloud layer storage, which meets the local fast access demand and realizes the elastic expansion of cloud, at the same time, it is archived according to time dimension, which greatly improves the data retrieval and calling efficiency, adopts encryption storage and backup double measures to prevent data leakage or loss; the influence of single storage failure is reduced by hierarchical storage and archiving, which guarantees the long-term security and availability of data, the standardized classified data and historical archive record provide data support for subsequent trend analysis, life prediction and intelligent management, and the hierarchical architecture is convenient for expanding storage capacity and function according to business needs.

[0202] The alarm processing module is also used for:

[0203] First, the overall data of the safety tool is subjected to data preprocessing;

[0204] The preprocessed data is subjected to multi-dimensional comprehensive analysis, including state trend analysis, position rationality analysis, operation compliance analysis and correlation analysis;

[0205] Among them, the state trend analysis is to analyze the change trend of each safety tool parameter according to the historical state data of the safety tool; the position rationality analysis is to analyze the rationality of the storage position and the moving track according to the position data of the safety tool; the operation compliance analysis is to verify the compliance of the operation behavior according to the access operation record of the safety tool; the correlation analysis is to identify potential abnormalities according to the correlation rules of multi-dimensional data;

[0206] The abnormality detection rule is further set, including a static threshold rule, a dynamic trend rule, a behavior compliance rule and a time limit rule;

[0207] According to the set abnormality detection rule, the multi-dimensional comprehensive analysis result of the safety tool is divided into abnormality levels, including an emergency abnormality, an important abnormality and a general abnormality;

[0208] According to the abnormality level and the abnormality type, a corresponding early warning mode is automatically matched, and early warning information is generated, the generated early warning information including a unique identification of the abnormal tool, an abnormality type, an abnormality parameter specific value, associated data and a suggested treatment measure;

[0209] Finally, the generated early warning information is sent to a display terminal for data display, and a worker performs early warning execution processing according to the displayed data.

[0210] Specifically, through multi-dimensional analysis of state trend, position rationality, operation compliance and association, combined with historical data and real-time information, potential abnormalities are comprehensively investigated, the limitations of single-dimensional analysis are avoided, the coverage and accuracy of abnormality identification are improved, static threshold and dynamic trend rules are considered, behavior compliance and time limit requirements are combined, the determination standard can be dynamically adjusted according to the characteristics of different types of safety tools, the complex and changeable use scenarios are adapted, the abnormality is divided into three levels of emergency, importance and general, the worker can prioritize processing high-risk problems, avoid resource waste, improve the pertinence and efficiency of emergency response, automatically generate early warning information containing unique identification, abnormality type, specific parameters, associated data and processing suggestions, provide clear guidance for workers, reduce investigation time, help quickly develop solutions, deeply link with data of tool identification, positioning, state monitoring and other modules, trace the root cause of abnormality through association analysis, realize whole-process closed-loop management from abnormality detection, early warning to processing, and strengthen the systematicness of safety control.

[0211] It should be noted that, in this text, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0212] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and changes can be made by those skilled in the art without departing from the spirit and principles of the present application.

Claims

1. An intelligent storage and management device for vehicle-mounted safety tools, comprising an intelligent storage device and a storage and management system, characterized in that, The storage management system is used to: manage and monitor the vehicle-mounted tools stored in the intelligent storage device; The intelligent storage device includes a cabinet (1), with an upper drawer (2) and a lower drawer (3) inside the cabinet (1). An identity verification machine (4) is installed on one side of the cabinet (1), and electromagnetic locks (5) are installed on both the upper drawer (2) and the lower drawer (3). The identity verification machine (4) is an integrated fingerprint and face recognition machine that matches the operator's permission level and the operating range of tools in real time. The electromagnetic locks (5) automatically open and close according to the identity verification result and permission rules. The upper drawer (2) and lower drawer (3) are equipped with partitions (6). A card reader (7) is installed at the top of each partition (6), and a pressure sensor (8) is installed at the bottom of each partition (6). The partitions (6) divide the interior of the drawers into independent storage areas. Combined with the real-time feedback of the pressure sensor (8), the storage status of the tools is automatically identified. After the pressure sensor (8) detects the tool storage action, it automatically wakes up the card reader (7) from the dormant state. The card reader (7) is used to identify the unique electronic tag on the surface of the safety tool.

2. The intelligent storage and management device for vehicle-mounted safety tools according to claim 1, characterized in that, The storage management system includes: The tool and equipment identification module is used to identify various safety tools and equipment stored in the intelligent storage device; The tool positioning module is used to determine the specific location of safety tools within the intelligent storage device in real time; The tool and equipment status monitoring module is used to monitor the status of each safety tool and equipment in real time. The tool and equipment access management module is used to manage the access permissions and access records for each safety tool and equipment. The tool and equipment information storage module is used to organize and store the overall data of each safety tool and equipment. The alarm processing module is used to analyze the overall data of the safety tools and equipment that have been compiled, perform anomaly detection, and make early warning judgments based on the anomaly detection results.

3. The intelligent storage and management device for vehicle-mounted safety tools according to claim 2, characterized in that, The tool identification module is also used for: Each safety tool is fitted with a unique electronic tag, which stores the model, serial number, and specifications of the safety tool. The intelligent storage device is equipped with multiple card readers (7); When safety tools are placed into the smart storage device, the pressure sensor (8) inside the smart storage device is automatically triggered. The pressure sensor (8) wakes up the card reader (7) from its dormant state. The card reader (7) then starts radio frequency to scan the signal. After receiving the radio frequency signal, the electronic tag obtains energy and activates through electromagnetic coupling, and returns its unique identifier and stored tool information to the card reader (7); The card reader (7) performs CRC verification on the received data, converts the verified data into readable data, and marks the readable data as the storage tool; When the safety tool is removed, the electronic tag leaves the sensing range of the card reader (7), and the information strength received by the card reader (7) decreases. When the signal strength decreases three times in a row, the readable data is marked as the tool being removed. Finally, the identification of safety tools stored in the intelligent storage device was completed.

4. The intelligent storage and management device for vehicle-mounted safety tools according to claim 3, characterized in that, The pressure sensor (8) wakes up the card reader (7) from its dormant state, including: The pressure data collected by the pressure sensor (8) within the preset trigger time period is preprocessed and then constructed in sequence to obtain the pressure analysis dataset; The pressure analysis dataset received by the pressure sensor (8) within the preset trigger time period is compared with the set pressure trigger threshold of the safety tool to obtain the trigger pressure data; the trigger pressure data is the pressure data in the pressure analysis dataset that exceeds the set pressure trigger threshold; Obtain the percentage of the triggered stress data in the stress analysis dataset; When the data percentage and the maximum pressure change in the pressure analysis dataset both meet the set pressure triggering constraint of the safety tool, the pressure sensor generates a wake-up command. When the data proportion satisfies the corresponding set pressure trigger constraint of the safety tool, but the maximum pressure change amplitude of the pressure analysis dataset does not satisfy the corresponding set pressure trigger constraint, the time interval between the collection time of the maximum pressure value and the minimum pressure value in the pressure analysis dataset and the current time is obtained respectively, and the first time interval and the second time interval are obtained accordingly. If the first time interval does not exceed the first preset interval threshold and the pressure data at the current moment is not less than the set pressure trigger threshold, the pressure sensor (8) generates a wake-up command; When the second time interval exceeds the second preset interval threshold, and the pressure change trend within the corresponding time period of the second time interval satisfies the trigger change trend constraint of the safety tool, the pressure sensor (8) generates a wake-up command. When the data proportion does not meet the corresponding set pressure trigger constraint of the safety tool, but the maximum pressure change amplitude of the pressure analysis dataset meets the corresponding set pressure trigger constraint, the trigger pressure data whose sampling time is closest to the current time is marked as the reference pressure data, and the sampling time of the reference pressure data is marked as the reference time. If the third time interval between the reference time and the current time does not exceed the third preset interval threshold, or if the pressure change trend within the corresponding time period of the third time interval meets the trigger change trend constraint of the safety tool, the pressure sensor (8) generates a wake-up command. According to the wake-up command, the pressure sensor (8) wakes up the card reader (7) from its dormant state.

5. The intelligent storage and management device for vehicle-mounted safety tools according to claim 3, characterized in that, The tool positioning module is also used for: The physical coordinates of each card reader (7) were measured using a laser rangefinder, and the three-dimensional coordinate system of each card reader (7) was obtained after the measurement was completed; When the safety tools are recognized by the card reader (7) in the intelligent storage device, the signal strength and timestamp of the recognized card reader (7) are collected. The straight-line distance to the identified safety equipment is calculated based on the signal strength, timestamp, and three-dimensional coordinates of the card reader (7), wherein the triangulation method is used for calculation. After the calculation is completed, the drawer number and specific location of the identified safety tools and equipment are obtained; When the safety tool is moved in the intelligent storage device, the signal strength received by the card reader (7) will change in real time with the change of position. Then, the movement trajectory is generated by continuously solving the coordinate values, and finally the drawer layer number and specific location of the newly identified safety tool are generated. If safety equipment is obstructed, the system automatically retrieves historical data from adjacent areas for interpolation calculations, and then calculates the location of the safety equipment after the interpolation calculations. Finally, the specific location of safety tools and equipment within the intelligent storage device was identified.

6. The intelligent storage and management device for vehicle-mounted safety tools according to claim 5, characterized in that, The tool and equipment status monitoring module is also used for: Based on the characteristics of different types of safety tools, dedicated sensors are deployed in the corresponding storage locations within the intelligent storage device; Among them, safety tools include insulating tools, metal tools and electronic tools. Insulating tools are equipped with surface resistance sensors and miniature pressure sensors (8); metal tools are equipped with humidity sensors and magnetic sensors; electronic tools are equipped with voltage detection probes. Set the normal state parameter range for each type of safety tool; Once the specific location of the safety equipment is confirmed, the corresponding sensor is automatically activated and real-time monitoring is performed. The sensors synchronously collect data on the automatic status of safety tools and equipment and their environmental impact. The synchronously collected data is linked using a unique electronic tag; The data after association is validated for validity. Based on the validation results, trend analysis and life prediction are performed. In particular, trend analysis is performed based on the historical data of safety tools and equipment, and the next calibration time is automatically calculated based on the periodic calibration requirements of safety tools and equipment. Based on the validity verification results, the status of safety tools and equipment is determined, including abnormal status, normal status, and caution status. Finally, the status monitoring data of each safety tool is obtained.

7. The intelligent storage and management device for vehicle-mounted safety tools according to claim 6, characterized in that, The step of determining the status of the safety equipment based on the validity verification result includes: Based on the historical verification records within the preset historical time period of the safety tools, the verification change score is determined. The attention threshold range of the previous verification is adjusted using the aforementioned verification variable score. When the validity verification result of the safety tool exceeds the normal state threshold range, the state of the safety tool is determined to be abnormal. When the validity verification result of the safety tool does not exceed the normal state threshold range, but exceeds the adjusted attention threshold, the state of the safety tool is determined to be the attention state. Otherwise, the safety tool is determined to be in a normal state.

8. The intelligent storage and management device for vehicle-mounted safety tools according to claim 6, characterized in that, The tool and equipment storage and management module is also used for: First, collect basic information about the staff, including their name, position, responsibilities, and department. Then, classify the staff into operators, managers, and maintenance personnel. Based on the danger, importance and usage scenario of safety tools and equipment, different access levels are defined, and the scope of safety tools and equipment corresponding to each access level is confirmed. Based on the classification of staff and the division of access levels, a permission association matrix is ​​established for the safety tools and equipment. After the matrix is ​​established, a corresponding access level is assigned to each staff member, and the list of safety tools and equipment that the staff member can operate is confirmed. At the same time, the scope of operation of each safety tool and equipment is marked with the scope of operation of the staff member, forming a two-way permission mapping relationship. When staff perform storage and retrieval operations on safety tools, the unique electronic tag information of the safety tools is obtained, and at the same time, the staff's identity information is collected through the identity verification device. Once the staff member's identity is verified, the permission association matrix is ​​used to verify whether the staff member has the authority to operate the safety tools. After the operation is completed, an access record is automatically generated, including user identity information, unique tool identifier, operation type, operation time, operation location, operation result, and exception description; Finally, complete the information management of each safety tool.

9. The intelligent storage and management device for vehicle-mounted safety tools according to claim 8, characterized in that, The tool and equipment information storage module is also used for: Collect all data on safety tools and equipment, including basic information provided by the tool and equipment identification module, location data provided by the tool and equipment positioning module, status data provided by the tool and equipment status monitoring module, and permission and operation data provided by the tool and equipment access management module. The collected data will be validated, which includes checking the completeness of the collected data, removing outlier data, and supplementing missing data. The data that has completed validity verification is classified according to data attributes, including basic archives, dynamic status, operation records, and analysis and prediction. The categorized data is stored in a hierarchical manner, both locally and in the cloud. At the same time, the stored data is archived according to the time dimension. The archived data is encrypted and backed up. Finally, the information storage of the equipment is completed.

10. The intelligent storage and management device for vehicle-mounted safety tools according to claim 9, characterized in that, The alarm processing module is also used for: First, perform data preprocessing on the overall data of safety tools and equipment; The preprocessed data will undergo multi-dimensional comprehensive analysis, including status trend analysis, location rationality analysis, operational compliance analysis, and correlation analysis. Among them, status trend analysis analyzes the changing trend of each safety tool's parameters based on historical status data; location rationality analysis analyzes the rationality of storage location and movement trajectory based on location data of safety tools; operation compliance analysis verifies the compliance of operation behavior based on the storage and retrieval operation records of safety tools; and correlation analysis identifies potential anomalies based on the correlation rules of multi-dimensional data. Next, the anomaly detection rules are set, including static threshold rules, dynamic trend rules, behavioral compliance rules, and timeliness rules; Based on the established anomaly detection rules, the multi-dimensional comprehensive analysis results of safety tools and equipment are classified into anomaly levels, including emergency anomalies, important anomalies, and general anomalies. Then, based on the anomaly level and anomaly type, the corresponding early warning method is automatically matched, and early warning information is generated. The generated early warning information includes the unique identifier of the abnormal tool, the anomaly type, the specific value of the abnormal parameter, related data, and suggested handling measures. Finally, the generated warning information is sent to the display terminal for data display, and staff will then execute the warning actions based on the displayed data.

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