Equipment fine management system based on offline application technology

Abstract

The invention relates to the technical field of equipment management, and particularly discloses an equipment fine management system based on an off-line application technology, which realizes reliable operation of management service in a network environment and a network-free environment based on a handheld mobile operation terminal by realizing unique tagging of each piece of equipment and each piece of equipment; based on functional warehouse-in and warehouse-out management, warehouse-out management and early warning management, classified accurate management of different warehouse-in and warehouse-out types such as upper-level allocation, current-level raising, scheduling warehouse-out and using warehouse-out of equipment and equipment temperature monitoring after task leaving are achieved, and an inventory checking report is generated. Powerful support is provided for total-factor, whole-process and whole-life management of equipment maintenance equipment, and it is ensured that all equipment information is visible and risks are controllable.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management. More specifically, the present invention relates to a refined management system for equipment based on offline application technology. Background Art

[0002] In the traditional material and equipment management mode, due to the lack of a unified standard for equipment coding rules, problems such as poor information traceability and inconsistent data often exist during the transfer, storage, and use of equipment, which easily leads to resource waste, low transfer efficiency, and information loss. In addition, the traditional management method relies on manual records and offline data synchronization, and cannot meet the requirements of modern equipment management for real-time, accuracy, and security. Especially in a network-free environment, this mode is more insufficient, seriously restricting the flexibility and scalability of the system.

[0003] After a special equipment performs a high-intensity task, the internal temperature of the equipment rises rapidly. Key components such as batteries and sensors are extremely prone to performance degradation or even safety accidents due to high temperature. The traditional management system not only has difficulty in realizing real-time monitoring of the temperature state of the equipment, but also cannot give timely warnings of abnormal temperatures. As a result, during the storage and maintenance of the equipment, the timeliness of maintenance and the safety of the equipment are difficult to guarantee. At the same time, due to the lack of effective temperature monitoring means, the traditional mode cannot accurately locate the root cause of equipment failures, further increasing the maintenance difficulty and operation risk. To solve the above problems, a technical solution is provided now. Summary of the Invention

[0004] To overcome the above-mentioned defects of the prior art, the present invention provides a refined management system for equipment based on offline application technology, which is used to solve the problems of non-standard equipment coding rules, difficult tracing of business data, inability to operate in a network-free environment, and lack of effective temperature monitoring means in the existing traditional material and equipment management process. A refined management system for equipment based on offline application technology is developed to realize the monitoring and management of the transfer and procurement, storage, and equipment temperature after the mission of special equipment, so as to solve the problems raised in the above background art.

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

[0006] Equipment Fine Management System Based on Offline Application Technology, including a handheld mobile operation terminal, equipment storage shelves, and an equipment fine management subsystem. The handheld mobile operation terminal is used to query inventory equipment information, including inventory quantity, storage location, and status, through barcode scanning and manual confirmation. The equipment fine management subsystem is used for the full life cycle management of equipment, temperature status monitoring, information traceability, and anomaly warning. The equipment fine management subsystem includes a situation awareness monitoring module, an information traceability analysis module, and an anomaly warning module. The situation awareness monitoring module is responsible for the full life cycle management of equipment and temperature status monitoring. The situation awareness monitoring module includes a primary temperature monitoring module and a dynamic charging management module. The primary temperature monitoring module is used to monitor and manage the temperature inside the equipment. The dynamic charging management module is used to perform secondary temperature analysis to determine whether there is an anomaly. When there is an anomaly during the equipment charging process, a charging dynamic adjustment control strategy is formulated to control the equipment for low-temperature compensation charging and high-temperature speed reduction charging. The dynamic charging management module includes a primary temperature analysis unit, a secondary temperature analysis unit, and a temperature dynamic adjustment unit. The secondary temperature analysis unit is used to obtain the first temperature mean coefficient and the first temperature distribution coefficient within the temperature management area, and analyze the current state of the equipment by constructing a temperature discrimination model. The formula of the temperature discrimination model is:

[0007]

[0008] In the formula: μ k is the temperature discrimination coefficient, n is the number of temperature management areas, w max is the maximum first temperature mean coefficient, f max is the maximum first temperature distribution coefficient, w min is the minimum first temperature mean coefficient, f min is the minimum first temperature distribution coefficient, ε is an adjustment factor to prevent the denominator from being zero, w i is the first temperature mean coefficient of the i-th temperature management area, f i is the first temperature distribution coefficient of the i-th temperature management area, is the mean of the first temperature mean coefficients, is the mean of the first temperature distribution coefficients.

[0009] As a further solution of the present invention, the information traceability and analysis module is used to identify, inventory, and locate equipment through coding rules; display the equipment status through a visualization interface, including inventory information, equipment classification, and usage, realize the unified access of data from multiple warehouses, and users can switch in the interface to view the inventory information of different warehouses, support the function of cross-warehouse material transfer, quickly query the available materials in the target warehouse and generate a transfer order; add two-dimensional codes in the equipment storage shelves, and automatically locate to the material list in the equipment storage shelves after scanning; have an inventory function, based on the administrator's inventory of the corresponding equipment quantity and compare it with the equipment quantity in the system for determination.

[0010] As a further solution of the present invention, the primary temperature monitoring module is used to monitor and manage the temperature inside the equipment: divide the bottom part of the equipment into several temperature monitoring areas; set several monitoring points in each temperature management area, set temperature sensors at each monitoring point, and monitor the temperature values of each monitoring point in real time during the charging process, calculate the variance of the temperature values of all monitoring points to obtain the first temperature distribution coefficient in each temperature management area, and calculate the mean value of the temperature values of all monitoring points to obtain the first temperature mean coefficient in each temperature management area.

[0011] As a further solution of the present invention, the primary temperature analysis unit is used to obtain the first temperature distribution coefficient and the first temperature mean coefficient in chronological order, arrange the first temperature distribution coefficient and the first temperature mean coefficient in chronological order respectively to obtain a temperature distribution sequence and a temperature mean sequence, and mark the extreme points in the temperature distribution sequence and the temperature mean sequence respectively to obtain a first central representative value and a second central representative value;

[0012] Select the temperature management area corresponding to the extreme point with the earliest chronological order in the temperature distribution sequence and mark it as the first central area, calculate the sum of the position of the first central area and the position of the temperature management area corresponding to the extreme point in the remaining temperature distribution sequence, and mark it as the first central value of the first central area. Then, select the temperature management area corresponding to the extreme point with the second chronological order in the temperature distribution sequence and mark it as the first central area, and recalculate the first central value of the first central area until the first central values corresponding to all the extreme points in the temperature distribution sequence are obtained. Record the minimum value of the first central values as the first central representative value, compare the first central representative value with the preset first central representative threshold. If the first central representative value is greater than or equal to the preset first central representative threshold, send a warning trigger signal to the abnormal warning module; if the first central representative value is less than the preset first central representative threshold, do not send a warning trigger signal to the abnormal warning module.

[0013] As a further solution of the present invention, the temperature management area corresponding to the extreme value point with the earliest chronological order in the temperature mean value sequence is selected and marked as the second central area. Calculate the sum of the position of the second central area and the positions of the temperature management areas corresponding to the extreme value points in the remaining temperature mean value sequence, and mark it as the second central value of the second central area. Subsequently, select the temperature management area corresponding to the extreme value point with the second chronological order in the temperature mean value sequence according to the chronological order and mark it as the second central area, and recalculate the second central value of the second central area until the second central values of the temperature management areas corresponding to all extreme value points in the temperature mean value sequence are obtained. Denote the minimum value among the second central values as the second central representative value, and compare the second central representative value with the second central representative threshold. If the second central representative value is greater than or equal to the preset second central representative threshold, send a warning trigger signal to the abnormal warning module; if the second central representative value is less than the preset second central representative threshold, do not send a warning trigger signal to the abnormal warning module.

[0014] As a further solution of the present invention, the temperature dynamic adjustment unit is used to formulate a charging dynamic adjustment control strategy to control the equipment for low-temperature compensation charging and high-temperature speed reduction charging when there is an abnormality during the equipment charging process. The specific formulation steps of the charging dynamic adjustment control strategy are as follows:

[0015] Extract the first temperature mean coefficient of the temperature management area in the equipment at time t, arrange the first temperature mean coefficients at time t in ascending order to obtain a mean value sequence, and compare the first temperature mean coefficients at time t with the mean value of the first temperature mean coefficients at time t-1 in turn. If the number of coefficient of the mean value of the first temperature mean coefficients in the mean value sequence is greater than half of the number of coefficients in the mean value sequence, perform low-temperature compensation charging; if the number of coefficient of the mean value of the first temperature mean coefficients in the mean value sequence is less than half of the number of coefficients in the mean value sequence, perform high-temperature speed reduction charging control on the equipment; if the number of coefficient of the first temperature mean coefficients equal to the mean value of the first temperature mean coefficients in the mean value sequence is equal to half of the number of coefficients in the mean value sequence, there is no need to operate on the equipment. The control formula for low-temperature compensation charging of the equipment is:

[0016] V ce (T) = V nom + k1(T ref - T);

[0017] In the formula: V ce (T) is the current charging voltage, V nom is the rated charging voltage of the battery, k1 is the low-temperature compensation coefficient, T ref is the low-temperature compensation reference temperature, and T is the mean value of the first temperature mean coefficients in the equipment;

[0018] The control formula for high-temperature speed reduction charging of the equipment is:

[0019] Ice (T) = I nom *(1-k2(TT gw ));

[0020] Where: I ce (T) is the current charging current, I nom is the rated charging current of the battery, k2 is the high temperature reduction coefficient, T gw is the reference temperature for high temperature speed reduction, and T is the mean value of the first temperature mean coefficient in the equipment.

[0021] The technical effects and advantages of the refined equipment management system based on offline application technology of the present invention are as follows: the present invention realizes the unique coding of each equipment and each piece of equipment, and realizes the reliable operation of management business in a network environment or without a network environment based on a handheld mobile operation terminal; relying on functional warehousing and out-of-warehouse management, inventory management and early warning management, it realizes the precise management of the classification of different warehousing and out-of-warehouse types such as superior allocation, current-level financing, out-of-warehouse and use-out-of-warehouse, and the temperature monitoring of equipment after the mission, and generates inventory counting reports, providing strong support for the full-factor, full-process and full-life management of equipment maintenance equipment, ensuring that all equipment information is visible and risks are controllable. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of the structure of the equipment refined management system based on the offline application technology provided by the present invention;

[0023] Figure 2 The zone temperature thermodynamic map provided by the present invention;

[0024] Figure 3 The zone temperature trend diagram provided by the present invention;

[0025] Figure 4 A display diagram of the partition data monitoring list provided by the present invention;

[0026] Figure 5 A display diagram of the abnormal warning record list provided by the present invention;

[0027] Figure 6 This is the business management interface provided by the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solution in the present invention. Obviously, the described technical solution is only a part of the present invention, not all of it. Based on the technical solution in the present invention, all other technical solutions obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] Example 1

[0030] The refined management system for equipment based on offline application technology includes a handheld mobile operation terminal, an equipment storage shelf, and a refined management subsystem for equipment.

[0031] The handheld mobile operation terminal is used to query inventory equipment information through barcode scanning and manual confirmation, including inventory quantity, storage location, and status. The refined management subsystem for equipment is used to conduct the full life cycle management of equipment, temperature status monitoring, information traceability, and abnormal warning.

[0032] The refined management subsystem for equipment includes a situation awareness monitoring module, an information traceability analysis module, and an abnormal warning module.

[0033] The situation awareness monitoring module is responsible for the full life cycle management of equipment and temperature status monitoring.

[0034] The information traceability analysis module is used to identify, inventory, and locate equipment through coding rules; display equipment status through a visualization interface, including inventory information, equipment classification, and usage, realize the unified access of data from multiple warehouses, users can switch and view inventory information of different warehouses in the interface, support the function of cross-warehouse material transfer, quickly query available materials in the target warehouse and generate transfer orders; add two-dimensional codes in the equipment storage shelf, after scanning, it automatically locates to the material list in the equipment storage shelf, and has an inventory function. Based on the administrator's inventory of the corresponding equipment quantity, and then compare it with the equipment quantity in the system for determination, reducing the probability of inventory errors by the administrator.

[0035] The abnormal warning module is used to respond to abnormal signals.

[0036] The situation awareness monitoring module includes a primary temperature monitoring module and a dynamic charging management module.

[0037] The primary temperature monitoring module is used to conduct temperature monitoring and management inside the equipment: divide the bottom part of the equipment into several temperature monitoring areas; set several monitoring points in each temperature management area, set temperature sensors at each monitoring point, and real-time monitor the temperature values of each monitoring point during the charging process. Calculate the variance of the temperature values of all monitoring points to obtain the first temperature distribution coefficient in each temperature management area, and calculate the mean value of the temperature values of all monitoring points to obtain the first temperature mean coefficient in each temperature management area; as Figure 2 Shown as the partition temperature heat map, which shows the temperature distribution in the equipment storage area. Different colors represent different temperature ranges. The horizontal and vertical coordinates in the figure represent the partition or monitoring point positions respectively, and the floating tooltip shows the real-time temperature value. By real-time monitoring the temperature data of each monitoring point, it provides basic data support for subsequent primary temperature analysis and secondary temperature analysis.

[0038] The dynamic charging management module is used to perform secondary temperature analysis to determine whether there is an abnormality. When there is an abnormality during the charging process of the equipment, a charging dynamic adjustment control strategy is formulated to control the equipment to perform low-temperature compensation charging and high-temperature speed reduction charging.

[0039] The dynamic charging management module includes a primary temperature analysis unit, a secondary temperature analysis unit, and a temperature dynamic adjustment unit; the primary temperature analysis unit is connected to the secondary temperature analysis unit, and the primary temperature analysis unit and the secondary temperature analysis unit are respectively connected to the temperature dynamic adjustment unit. Figure 3 This is the partition temperature trend chart provided by the present invention, which respectively shows the temperature change trends of different partitions such as Area A, Area B, and Area C over a period of time in the form of a line chart. The abscissa is the time axis, and the ordinate is the temperature value. It is associated with the dynamic charging management module in the system. If the temperature of a certain partition fluctuates abnormally during the charging process, an early warning can be triggered in a timely manner and low-temperature compensation or high-temperature speed reduction charging can be performed.

[0040] The primary temperature analysis unit is used to obtain the first temperature distribution coefficient and the first temperature mean coefficient in chronological order, arrange the first temperature distribution coefficient and the first temperature mean coefficient in chronological order respectively to obtain a temperature distribution sequence and a temperature mean sequence, and respectively mark the extreme points in the temperature distribution sequence and the temperature mean sequence to obtain a first central representative value and a second central representative value.

[0041] Select the temperature management area corresponding to the extreme point with the earliest chronological order in the temperature distribution sequence and mark it as the first central area. Calculate the sum of the position of the first central area and the position of the temperature management area corresponding to the extreme point in the remaining temperature distribution sequence, and mark it as the first central value of the first central area. Then, select the temperature management area corresponding to the extreme point with the second chronological order in the temperature distribution sequence and mark it as the first central area, and recalculate the first central value of the first central area until the first central values corresponding to all the extreme points in the temperature distribution sequence are obtained. Record the minimum value among the first central values as the first central representative value, and compare the first central representative value with the first central representative threshold. If the first central representative value is greater than or equal to the preset first central representative threshold, a warning trigger signal will be sent to the abnormal warning module; if the first central representative value is less than the preset first central representative threshold, no warning trigger signal will be sent to the abnormal warning module.

[0042] The temperature management area corresponding to the extreme point with the earliest time sequence in the temperature mean sequence is selected and marked as the second central area. The sum of the position of the second central area and the position of the temperature management area corresponding to the extreme points in the remaining temperature mean sequence is calculated and marked as the second central value of the second central area. Subsequently, the temperature management area corresponding to the extreme point with the second time sequence in the temperature mean sequence is selected in time sequence and marked as the second central area. The second central value of the second central area is recalculated until the second central values of the temperature management areas corresponding to all the extreme points in the temperature mean sequence are obtained. The minimum value of the second central values is recorded as the second central representative value. The second central representative value is compared with the second central representative threshold. If the second central representative value is greater than or equal to the preset second central representative threshold, an early warning trigger signal is sent to the abnormal early warning module; if the second central representative value is less than the preset second central representative threshold, no early warning trigger signal is sent to the abnormal early warning module.

[0043] By dividing the bottom of the equipment into multiple temperature monitoring areas and arranging multi-point sensors in each area, the temperature changes during the charging process are captured in real time to ensure full coverage and avoid missed measurements. The dynamic charging management module performs secondary temperature analysis and accurately determines abnormal conditions (such as local overheating or low temperature areas). The abnormal warning module is triggered to respond in time to reduce safety hazards. In abnormal conditions, the system quickly takes measures, such as low-temperature compensation charging or high-temperature speed reduction charging, to prevent thermal runaway or low-temperature damage and ensure equipment safety. The first temperature distribution coefficient obtained by variance calculation can reflect the temperature uniformity of each monitoring area. By adjusting the charging parameters, local hot spots can be reduced and the aging of battery materials can be delayed. High-temperature speed reduction charging prevents the rapid decomposition of electrodes and diaphragms in high-temperature environments. Low-temperature compensation charging avoids lithium precipitation and protects the integrity of the electrode structure. The charging parameters are dynamically adjusted to optimize the internal reaction conditions of the battery according to the real-time temperature status. , reduce the loss of active materials and extend the service life; based on the secondary analysis of the first temperature distribution coefficient and the first temperature mean coefficient, dynamically adjust the charging current and voltage to achieve efficient charging, especially fast compensation charging in low temperature environment, by optimizing the charging process, reduce unnecessary energy loss, improve energy utilization, and automatically adjust the charging strategy under different temperature conditions without manual intervention, adapt to cold or high temperature environment, and improve the operation efficiency of equipment; based on the analysis results of regional temperature mean and distribution coefficient, build intelligent control logic to achieve precise regulation and control, avoid the defects of traditional systems that simply rely on fixed threshold judgment, and ensure that the multi-point sensors in each temperature management area ensure real-time monitoring coverage of all areas. Combined with the mean and variance calculation in the area, dynamic temperature analysis from local to overall is realized. The abnormal warning module responds to abnormal signals and issues multi-level alarms to ensure that equipment and operators can respond quickly.

[0044] The secondary temperature analysis unit is used to obtain the first temperature mean coefficient and the first temperature distribution coefficient within the temperature management area, and analyze the current state of the equipment by constructing a temperature discrimination model. The formula of the temperature discrimination model is:

[0045]

[0046] In the formula: μ k is the temperature discrimination coefficient, n is the number of temperature management areas, w max is the maximum first temperature mean coefficient, f max is the maximum first temperature distribution coefficient, w min is the minimum first temperature mean coefficient, f min is the minimum first temperature distribution coefficient, ε is an adjustment factor to prevent the denominator from being zero, w i is the first temperature mean coefficient of the i-th temperature management area, f i is the first temperature distribution coefficient of the i-th temperature management area, is the mean of the first temperature mean coefficients, is the mean of the first temperature distribution coefficients.

[0047] Compare the temperature discrimination coefficient with the preset temperature discrimination threshold. If the temperature discrimination coefficient is greater than or equal to the preset temperature discrimination threshold, there is an abnormality in the equipment charging process, and a temperature abnormality trigger signal is sent to the abnormal warning module; if the temperature discrimination coefficient is less than the preset temperature discrimination threshold, there is no abnormality in the equipment charging process.

[0048] Figure 4 This is the display diagram of the partition data monitoring list provided by the present invention, which lists information such as the current temperature, historical mean, variance, and status of different partitions, and provides an entry to view details or perform operations. The temperature monitoring results of each partition are summarized in a tabular form. Combining the variance and mean statistical indicators, it provides data support for the primary temperature analysis and secondary temperature analysis of the system. Through the status indicators of "normal", "attention", and "abnormal", the management personnel can quickly identify the key monitoring objects and conduct further fault location or troubleshooting in combination with the information traceability analysis module.

[0049] The temperature differentiation model combines the first temperature mean coefficient and the first temperature distribution coefficient. By comprehensively analyzing the temperature means and distribution characteristics of different regions, it accurately locates the possible temperature anomaly regions inside the equipment. The maximum value, minimum value, and overall mean are incorporated into the calculation to ensure that both the global and local characteristics of the model can be reflected. Through real-time monitoring and dynamic adjustment of each temperature management region, it can quickly capture temperature anomaly signals and achieve accurate anomaly identification. When the temperature differentiation coefficient is greater than the preset threshold, the anomaly warning module is immediately triggered to ensure the safety of the equipment charging process and avoid safety problems caused by thermal runaway or local overcooling. Based on the assessment of the charging state by the temperature differentiation coefficient, it detects anomaly signals at the budding stage of temperature anomalies, taking precautions. By comprehensively considering the dynamic difference characteristics of temperature means and distributions, it effectively reduces false alarm phenomena caused by changes in a single temperature value and improves the accuracy of warning signals. According to the real-time changes of the temperature differentiation coefficient, it adjusts charging parameters (such as current and voltage), dynamically optimizes the charging strategy, and avoids performance degradation of the equipment caused by overheating or overcooling. By analyzing the temperature means and distribution coefficients between regions, it adjusts the charging strategy in a timely manner after discovering hot spots or cold spots, making the equipment temperature more uniform and improving the overall performance. For low-temperature regions, it automatically enables the low-temperature compensation charging strategy; for high-temperature regions, it automatically enables the charging speed reduction strategy to ensure that the temperature of each region is maintained within a safe range.

[0050] The temperature dynamic adjustment unit is used to formulate a charging dynamic adjustment control strategy to control the equipment for low-temperature compensation charging and high-temperature charging speed reduction when there are anomalies in the equipment charging process. The specific steps for formulating the charging dynamic adjustment control strategy are as follows:

[0051] Extract the first temperature mean coefficient of the temperature management region inside the equipment at time t, arrange the first temperature mean coefficients at time t in ascending order to obtain a mean sequence, and compare the first temperature mean coefficients at time t with the mean of the first temperature mean coefficients at time t - 1 in turn. If the number of coefficient means of the first temperature mean coefficients in the mean sequence is greater than half of the number of coefficients in the mean sequence, then perform low-temperature compensation charging; if the number of coefficient means of the first temperature mean coefficients in the mean sequence is less than half of the number of coefficients in the mean sequence, then perform high-temperature charging speed reduction control on the equipment; if the number of coefficients equal to the mean of the first temperature mean coefficients in the mean sequence is equal to half of the number of coefficients in the mean sequence, then no operation is required on the equipment;

[0052] The control formula for low-temperature compensation charging of the equipment is:

[0053] V ce (T) = V nom + k1(T ref - T);

[0054] In the formula: V ce (T) is the current charging voltage, Vnorm is the rated charging voltage of the battery, k1 is the low-temperature compensation coefficient, and T ref is the low-temperature compensation reference temperature, and T is the mean value of the first temperature mean coefficient in the equipment.

[0055] The formula for controlling the charging speed reduction of the equipment at high temperature is:

[0056] I ce (T) = I nom *(1 - k2(T - T gw ));

[0057] In the formula: I ce (T) is the current charging current, and I nom is the rated charging current of the battery, k2 is the high-temperature speed reduction coefficient, and T gw is the high-temperature speed reduction reference temperature, and T is the mean value of the first temperature mean coefficient in the equipment.

[0058] It should be noted that the low-temperature compensation coefficient k1 is determined based on the chemical characteristics of the battery material and experimental data. Usually, the coefficient value range is 0.005 - 0.015 V / °C; the high-temperature speed reduction coefficient k2 is set according to the risk of thermal runaway and heat dissipation ability. Usually, the coefficient value range is 0.01 - 0.05 1 / °C.

[0059] If the value of the low-temperature compensation coefficient k1 is 0.01 V / °C, the low-temperature compensation reference temperature T ref is 25 °C, and the mean value T of the first temperature mean coefficient in the equipment is -5 °C, then the current charging voltage is:

[0060] V ce (T) = V nom + 0.01 V / °C * (25 °C + 5 °C) = V nom + 0.3 V;

[0061] That is, the current charging voltage is V ce (T) = V nom + 0.3 V.

[0062] If the value of the high-temperature speed reduction coefficient k2 is 0.02 1 / °C, the high-temperature speed reduction reference temperature T gw is 25 °C, and the mean value T of the second temperature mean coefficient in the equipment is 45 °C, then the current charging voltage is:

[0063]

[0064] That is, the current charging current is I ce (T) = 0.59 * I nom .

[0065] The embodiment of the present invention implements unique coding for each equipment and each piece of equipment, and realizes reliable operation of management business in both network environment and non-network environment based on handheld mobile operation terminals; relying on functional in-and-out warehouse management, inventory management and early warning management, it realizes accurate management of different in-and-out warehouse types such as superior allocation, local level procurement, out-and-out according to dispatch and out-and-in use, and efficient and regular push of equipment inventory plans, generates inventory counting reports, and provides strong support for the full-factor, full-process and full-life cycle management of equipment maintenance equipment, ensuring that all equipment information is visible and risks are controllable.

[0066] Figure 5 The abnormal warning record list display diagram provided for the present invention displays various alarm records generated by the system during the monitoring process, including the alarm number, alarm source, occurrence time, current status and an entrance to view details. It records and traces all alarm events, making it easy for managers to locate the root cause of the problem in the information tracing and analysis module, and works in conjunction with the abnormal warning module. Once the temperature distribution or mean analysis exceeds the threshold, the system will automatically generate an abnormal warning here to help managers take timely measures.

[0067] In a low temperature environment, by increasing the charging voltage, the problem of decreased chemical reaction rate inside the battery is overcome, the charging efficiency is ensured, lithium precipitation is prevented under low temperature conditions, and the electrode and diaphragm structure are protected; in a high temperature environment, by reducing the charging current, the internal heat accumulation of the battery is reduced, thermal runaway is prevented, and the active substances of the battery are effectively protected to avoid aging and electrolyte decomposition caused by high temperature; by extracting the first temperature mean coefficient in real time, the charging parameters are dynamically adjusted to ensure that each charging process is carried out under the optimal temperature conditions. In the low temperature compensation mode, the charging efficiency is significantly improved, the charging time in a low temperature environment is shortened, and the current and voltage are dynamically adjusted to keep the charging process in an efficient state at all times and reduce energy waste; by real-time monitoring and comparison of temperature data, low or high temperature abnormalities can be quickly identified, and corresponding control measures can be taken promptly Control measures are taken to avoid potential safety hazards. Low temperature compensation and high temperature speed reduction charging strategies are designed for extreme temperature scenarios to effectively protect batteries from thermal runaway or cold damage. Under high temperature conditions, thermal stress is reduced by reducing current, active materials and diaphragms are protected, and battery aging is delayed. Under low temperature conditions, lithium precipitation is suppressed by compensating voltage. Dynamic adjustment strategies make battery temperature distribution more uniform, reducing the threat of local high or low temperatures to battery life. By comparing and analyzing the temperature data at the current and previous moments, charging strategies are dynamically formulated without manual intervention to achieve intelligent management. By real-time monitoring of equipment temperature and intelligently formulating charging strategies, not only the charging efficiency and safety are improved, but also the service life of the equipment is extended, and it can adapt to complex application scenarios, with significant technical value, economic benefits and environmental protection significance.

[0068] It should be noted that the low-temperature compensation coefficient k1 is determined based on the chemical characteristics of the battery material and experimental data. Generally, the coefficient value ranges from 0.005 to 0.015 V / °C; the high-temperature deceleration coefficient k2 is set according to the thermal runaway risk and heat dissipation capacity. Generally, the coefficient value ranges from 0.01 to 0.05 1 / °C.

[0069] If the value of the low-temperature compensation coefficient k1 is 0.01 V / °C, and the low-temperature compensation reference temperature T ref is 25 °C, and the average value T of the first temperature mean coefficient in the equipment is -5 °C, then the current charging voltage is:

[0070] V ce (T) = V nom + 0.01 V / °C * (25 °C + 5 °C) = V nom + 0.3 V;

[0071] That is, the current charging voltage is V ce (T) = V nom + 0.3 V.

[0072] If the value of the high-temperature deceleration coefficient k2 is 0.02 1 / °C, and the high-temperature deceleration reference temperature T gw is 25 °C, and the average value T of the second temperature mean coefficient in the equipment is 45 °C, then the current charging voltage is:

[0073]

[0074] That is, the current charging current is I ce (T) = 0.59 * I nom .

[0075] Embodiment 2

[0076] The handheld mobile operation terminal queries the inventory equipment information through barcode scanning and manual confirmation, and classifies the data into two categories: basic data and business data. Among them, the basic data includes data such as management units, equipment, and equipment information. This data can only be modified on the PC side, and the mobile side can only access it and cannot be modified. When exchanging data, only download it from the server to the mobile side, and there is no need to upload it from the mobile side to the server. The business data includes data such as outbound, inbound, inventory checking, and transfer. For the locally added part of the business data, it can be arbitrarily modified before the data is exchanged with the server. After the data is uploaded to the server, it can only be queried on the mobile side and cannot be edited anymore. It can only be modified on the PC side. The business data that is not newly added by this device cannot be edited at all and can only be queried. When exchanging data, it is necessary to upload the locally added part of the data and also download the necessary business data from the server to the mobile side.

[0077] To achieve the data exchange between the mobile terminal and the server and ensure the exchange rules and efficiency, the design of the database structure needs to add the following designs on the basis of meeting the original business requirements:

[0078] Add a data exchange definition table to record the exchange rules between the mobile terminal data and the server. Subsequent data management and exchange operations are carried out according to the definitions in this table. The data definition table mainly includes fields such as table name, description, and exchange rules. The table structure and data are shown in Table 1:

[0079]

[0080] Table 1 Structure and Content of the Data Exchange Definition Table

[0081] Add a synchronization status flag field to all business database tables to mark newly added and synchronized records. The field type is an integer. The default value of this field for newly added records on the mobile terminal is 0, and the status flag field of the corresponding records after synchronization is set to 1. The general business data table structure and data are shown in Table 2:

[0082]

[0083]

[0084] When the mobile terminal is in an offline operation state, the collected data can only be temporarily stored on the local machine, cannot be stored on a more secure server, and cannot perform subsequent business processing. At the same time, the local basic data will become outdated due to the data update on the server. Data synchronization is mainly divided into two parts: data upload and data download, which are realized by calling the webservice method deployed on the server.

[0085] Apply RFID technology and mobile application technology to realize the intelligent operation of each operation process. In the warehousing operation link, the "intelligent barcode scanning for warehousing" method can be adopted for operation to achieve accurate positioning of equipment for warehousing. In the outbound operation link, two modes of "one-key outbound" and "intelligent picking for outbound" can be adopted to achieve efficient outbound operation. In the inventory checking operation link, inventory checking operations can be carried out according to methods such as "inventory counting", "turnover inventory counting", and "cycle inventory counting", and the "blind inventory" operation mode is set during the operation process to prevent the operators from being affected by the existing data and not seriously implementing the inventory checking work, as Figure 6 shown in the business management interface.

[0086] In the embodiments of the present invention, by implementing unique coding for each piece of equipment and each item of equipment, reliable operation of management services is achieved based on a handheld mobile operation terminal in both networked and non-networked environments; relying on functionalized inbound and outbound management, inventory checking management, and early warning management, accurate classification management of different inbound and outbound types such as superior allocation, local procurement, transfer and outbound, and use and outbound of equipment is realized, and temperature monitoring of equipment after a mission is carried out, generating an inventory check report, providing strong support for the full-element, full-process, and full-life management of equipment maintenance equipment, ensuring that all equipment information is visible and risks are controllable.

[0087] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claimed rights.

[0088] Finally: The above is only the preferred solution of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An equipment fine management system based on offline application technology, comprising a handheld mobile operation terminal, an equipment storage shelf, and an equipment fine management subsystem, characterized in that, The handheld mobile operation terminal is used to query inventory equipment information, including inventory quantity, storage location, and status, through barcode scanning and manual confirmation; the refined equipment management subsystem is used to conduct the full life cycle management, temperature status monitoring, information traceability, and anomaly warning of equipment; The refined equipment management subsystem includes a situation awareness monitoring module, an information traceability analysis module, and an anomaly warning module; the situation awareness monitoring module is responsible for the full life cycle management and temperature status monitoring of equipment; the situation awareness monitoring module includes a primary temperature monitoring module and a dynamic charging management module; The primary temperature monitoring module is used to monitor and manage the temperature inside the equipment; the dynamic charging management module is used to conduct secondary temperature analysis to determine whether there is an abnormality. When there is an abnormality during the charging process of the equipment, a charging dynamic adjustment control strategy is formulated to control the equipment for low-temperature compensation charging and high-temperature speed reduction charging; the dynamic charging management module includes a primary temperature analysis unit, a secondary temperature analysis unit, and a temperature dynamic adjustment unit; the secondary temperature analysis unit is used to obtain the first temperature mean coefficient and the first temperature distribution coefficient within the temperature management area, analyze the current state of the equipment by constructing a temperature discrimination model. The temperature discrimination model uses the difference between the maximum temperature mean coefficient and the temperature distribution coefficient and the difference between the minimum temperature mean coefficient and the temperature distribution coefficient in all temperature management areas to construct a global scale factor, and then normalizes the difference between the mean value of the first temperature mean coefficient and the mean value of the first temperature distribution coefficient in each temperature management area, and accumulates the normalized results of each temperature management area to obtain the temperature discrimination coefficient μ k .

2. The equipment refined management system based on the offline application technology according to claim 1, wherein The information traceability analysis module is used to identify, inventory, and locate equipment through coding rules; display the equipment status through a visual interface, including inventory information, equipment classification, and usage, realize the unified access of data from multiple warehouses, users can switch and view the inventory information of different warehouses in the interface, support the cross-warehouse material transfer function, quickly query the available materials in the target warehouse and generate a transfer order; add two-dimensional codes in the equipment storage shelves, and automatically locate to the material list in the equipment storage shelves after scanning; have an inventory function, based on the administrator's inventory of the corresponding equipment quantity and compare it with the equipment quantity in the system for determination.

3. The equipment fine management system based on the offline application technology according to claim 1, characterized in that, The primary temperature monitoring module is used to conduct temperature monitoring and management inside the equipment: divide the bottom part of the equipment into several temperature monitoring areas; set several monitoring points in each temperature management area, set temperature sensors at each monitoring point, and monitor the temperature values of each monitoring point in real time during the charging process, calculate the variance of the temperature values of all monitoring points to obtain the first temperature distribution coefficient in each temperature management area, and calculate the mean value of the temperature values of all monitoring points to obtain the first temperature mean coefficient in each temperature management area.

4. The refined management system for equipment based on offline application technology according to claim 1, wherein The primary temperature analysis unit is used to obtain the first temperature distribution coefficient and the first temperature mean coefficient in chronological order, arrange the first temperature distribution coefficient and the first temperature mean coefficient in chronological order respectively to obtain a temperature distribution sequence and a temperature mean sequence, and mark the extreme points in the temperature distribution sequence and the temperature mean sequence respectively to obtain a first central representative value and a second central representative value.

5. The equipment refined management system based on the offline application technology according to claim 4, characterized in that, The first central representative value is obtained by selecting the temperature management area corresponding to the extreme point with the earliest chronological order in the temperature distribution sequence and marking it as the first central area, calculating the sum of the position of the first central area and the position of the temperature management area corresponding to the extreme point in the remaining temperature distribution sequence, and marking it as the first central value of the first central area. Then, select the temperature management area corresponding to the extreme point with the second chronological order in the temperature distribution sequence and mark it as the first central area, and recalculate the first central value of the first central area until the first central values of all temperature management areas corresponding to the extreme points in the temperature distribution sequence are obtained. Record the minimum value of the first central values as the first central representative value, compare the first central representative value with the first central representative threshold. If the first central representative value is greater than or equal to the preset first central representative threshold, send a warning trigger signal to the anomaly warning module; If the first center representative value is less than the preset first center representative threshold, no warning trigger signal is sent to the anomaly warning module.

6. The refined management system for equipment based on offline application technology according to claim 4, characterized in that The second center representative value is obtained by selecting the temperature management area corresponding to the extreme value point with the earliest chronological order in the temperature mean value sequence as the second center area, calculating the sum of the positions of the second center area and the temperature management areas corresponding to the extreme value points in the remaining temperature mean value sequence, and marking it as the second center value of the second center area. Subsequently, the temperature management area corresponding to the extreme value point with the second chronological order in the temperature mean value sequence is selected as the second center area in chronological order, and the second center value of the second center area is recalculated until the second center values of the temperature management areas corresponding to all extreme value points in the temperature mean value sequence are obtained. The minimum value among the second center values is recorded as the second center representative value. The second center representative value is compared with the second center representative threshold. If the second center representative value is greater than or equal to the preset second center representative threshold, a warning trigger signal is sent to the anomaly warning module; If the second center representative value is less than the preset second center representative threshold, no warning trigger signal is sent to the anomaly warning module.

7. The refined management system for equipment based on offline application technology according to claim 1, characterized in that, The temperature dynamic adjustment unit is used to formulate a charging dynamic adjustment control strategy to control the equipment for low-temperature compensation charging and high-temperature speed reduction charging when there is an anomaly during the equipment charging process. The specific steps for formulating the charging dynamic adjustment control strategy are as follows: Extract the first temperature mean coefficient of the temperature management area in the equipment at time t, arrange the first temperature mean coefficients at time t in ascending order to obtain a mean value sequence, and compare the first temperature mean coefficients at time t with the mean value of the first temperature mean coefficients at time t - 1 in turn. If the number of coefficient of the mean value of the first temperature mean coefficients in the mean value sequence is greater than half of the number of coefficients in the mean value sequence, low-temperature compensation charging is performed; if the number of coefficient of the mean value of the first temperature mean coefficients in the mean value sequence is less than half of the number of coefficients in the mean value sequence, high-temperature speed reduction charging control is performed on the equipment; if the number of coefficient equal to the mean value of the first temperature mean coefficients in the mean value sequence is equal to half of the number of coefficients in the mean value sequence, no operation is required on the equipment.

8. The refined management system for equipment based on offline application technology according to claim 7, characterized in that, The specific implementation of low-temperature compensation charging control for the equipment is as follows: when the mean value of the first temperature mean coefficients in the equipment is lower than the preset low-temperature reference temperature, to make up for the impact of low temperature on the charging performance, a compensation voltage determined by the low-temperature compensation coefficient is added to the rated charging voltage of the battery to increase the actual charging voltage.

9. The refined management system for equipment based on offline application technology according to claim 7, characterized in that The specific implementation of high-temperature speed reduction charging control for the equipment is as follows: when the mean value of the first temperature mean coefficients in the equipment is greater than or equal to the high-temperature speed reduction reference temperature, to reduce the safety risk caused by high temperature, the current is adjusted according to the high-temperature speed reduction coefficient, and the rated charging current of the battery is reduced proportionally.

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