Touch all-in-one machine management system and method based on artificial intelligence

Abstract

The invention discloses a touch all-in-one machine management system and method based on artificial intelligence, and relates to the technical field of touch all-in-one machines. According to the touch all-in-one machine management method based on artificial intelligence, the battery state of the touch all-in-one machine is evaluated based on the battery state data of the touch all-in-one machine, whether the battery state is qualified or not is judged, and under the condition that the battery state is qualified, the working state of the touch all-in-one machine is evaluated based on the working state data of the touch all-in-one machine; the method comprises the following steps: acquiring a battery state, judging whether a working state is qualified or not, evaluating a remote communication state of the touch all-in-one machine based on remote communication state data of the touch all-in-one machine under the condition that the working state is qualified, judging whether the remote communication state is qualified or not, and systematically monitoring and evaluating the battery state, the working state and the remote communication state. Potential problems can be found in time and early warning can be carried out, so that the reliability and the stability of equipment are improved, and normal operation of the equipment at a critical moment can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of all-in-one touch machines, and in particular to an all-in-one touch machine management system and method based on artificial intelligence. Background Art

[0002] As touch-screen all-in-one computers become more and more popular, whether they are used for online or offline teaching or for business meetings, the emergence of touch-screen all-in-one computers has brought more convenience to people. The touch screen function and screen projection display function of touch-screen all-in-one computers are relatively more widely used by users. At present, in addition to the above two functions, the touch-screen all-in-one computers developed by touch-screen all-in-one computer manufacturers also add functions such as marking on the touch screen or partial screenshots for users.

[0003] The existing technology has the inconvenience of combining various data for the management of touch all-in-one machines, which may make it difficult to discover potential problems and issue early warnings in time, thereby improving the reliability and stability of the equipment and ensuring its normal operation at critical moments. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides a touch all-in-one machine management system and method based on artificial intelligence, which solves the problem that the prior art is inconvenient to combine various data for the management of touch all-in-one machines, resulting in difficulty in discovering potential problems and issuing early warnings, thereby improving the reliability and stability of the equipment and ensuring its normal operation at critical moments.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a touch all-in-one machine management method based on artificial intelligence, comprising the following steps: within a detection cycle, obtaining the battery status data of the touch all-in-one machine, evaluating the battery status of the touch all-in-one machine based on the battery status data of the touch all-in-one machine, judging whether the battery status is qualified, and if the battery status is unqualified, issuing an early warning prompt; if the battery status is qualified, obtaining the battery status evaluation level, the battery status data including the standard deviation of the battery output current, the maximum energy storage capacity of the battery, and the maximum temperature of the battery when working; when the battery status is qualified, obtaining the working status data of the touch all-in-one machine, evaluating the working status of the touch all-in-one machine based on the working status data of the touch all-in-one machine, judging whether the working status is qualified, and if the working status is unqualified, issuing an early warning prompt; if the working status is qualified, obtaining the working status evaluation level, and The working status data includes sleep recovery time, instruction operation delay, CPU occupancy rate during instruction operation execution, and maximum temperature of the circuit board; when the working status is qualified, the remote communication status data of the touch all-in-one machine is obtained, and the remote communication status of the touch all-in-one machine is evaluated based on the remote communication status data of the touch all-in-one machine to determine whether the remote communication status is qualified. If the remote communication status is unqualified, an early warning is issued. If the remote communication status is qualified, the remote communication status evaluation level is obtained, and the remote communication status data includes antenna gain, average data decryption time, and number of data decryption failures; based on the battery status evaluation level, the working status evaluation level, and the remote communication status evaluation level, the comprehensive status of the touch all-in-one machine is evaluated to determine whether the comprehensive status of the touch all-in-one machine is qualified. If the comprehensive status is unqualified, an early warning is issued. If the comprehensive status is qualified, the next detection cycle is entered.

[0006] Furthermore, the comprehensive state of the touch all-in-one machine is evaluated based on the battery state evaluation level, the working state evaluation level and the remote communication state evaluation level to determine whether the comprehensive state of the touch all-in-one machine is qualified, including the following steps: the battery state evaluation level, the working state evaluation level and the remote communication state evaluation level are integrated to obtain a level evaluation value, and the level evaluation value is used as an analysis basis for whether the comprehensive state of the touch all-in-one machine is qualified; the level evaluation value is compared with the level evaluation threshold stored in the database to determine whether the level evaluation value is less than the level evaluation threshold stored in the database: if the level evaluation value is less than the level evaluation threshold stored in the database, the comprehensive state of the touch all-in-one machine is unqualified; if the level evaluation value is not less than the level evaluation threshold stored in the database, the comprehensive state of the touch all-in-one machine is qualified.

[0007] Furthermore, the calculation formula of the grade evaluation value is as follows:

[0008]

[0009] Wherein, Dp is the grade evaluation value, Dd is the battery state evaluation grade, Dg is the working state evaluation grade, Dt is the remote communication state evaluation grade, e is a natural constant, α1 is the battery state evaluation grade weight factor stored in the database, α2 is the battery state evaluation grade weight factor stored in the database, and α3 is the battery state evaluation grade weight factor stored in the database.

[0010] Furthermore, the battery status of the touch all-in-one machine is evaluated based on the battery status data of the touch all-in-one machine to determine whether the battery status is qualified, including the following steps: obtaining battery status reference data stored in a database, the battery status reference data stored in the database including a reference standard deviation of a battery output current, a maximum reference energy storage capacity of the battery, and a maximum reference temperature of the battery when working; fusing and analyzing the battery status data with the battery status reference data stored in the database to obtain a battery status evaluation value, the battery status evaluation value being used as an analysis basis for determining whether the battery status is qualified and for obtaining a battery status evaluation grade; comparing the battery status evaluation value with a battery status evaluation threshold stored in the database to determine whether the battery status evaluation value is greater than the battery status evaluation threshold stored in the database: if the battery status evaluation value is greater than the battery status evaluation threshold stored in the database, the battery status is unqualified; if the battery status evaluation value is not greater than the battery status evaluation threshold stored in the database, the battery status is qualified.

[0011] Furthermore, if the battery state is qualified, the battery state assessment level is obtained, including the following steps: comparing the battery state assessment value with each battery state assessment value stored in the database, obtaining the battery state assessment level corresponding to the battery state assessment value stored in the database that is equal to the battery state assessment value, the smaller the battery state assessment value, the higher the corresponding battery state assessment level.

[0012] Furthermore, the working state of the touch all-in-one machine is evaluated based on the working state data of the touch all-in-one machine to determine whether the working state is qualified, including the following steps: obtaining working state reference data stored in a database, the working state reference data stored in the database including reference sleep recovery time, reference delay of instruction operation, reference CPU occupancy rate when instruction operation is executed, and reference maximum temperature of the circuit board; comparing the battery state evaluation level with the working state deviation permission data corresponding to each battery state evaluation level stored in the database, obtaining the working state deviation permission data corresponding to the battery state evaluation level equal to the battery state evaluation level stored in the database where the comparison is successful, the working state deviation permission data including instruction operation. The allowable value of CPU occupancy deviation and the allowable value of circuit board maximum temperature deviation are determined when the operation is executed; the working status data, the working status reference data stored in the database and the allowable working status deviation data are integrated and analyzed to obtain a working status evaluation value, which is used as an analysis basis for whether the working status is qualified and for obtaining the working status evaluation level; the working status evaluation value is compared with the working status evaluation threshold stored in the database to determine whether the working status evaluation value is greater than the working status evaluation threshold stored in the database: if the working status evaluation value is greater than the working status evaluation threshold stored in the database, the working status is unqualified; if the working status evaluation value is not greater than the working status evaluation threshold stored in the database, the working status is qualified.

[0013] Furthermore, if the working status is qualified, the working status assessment level is obtained, including the following steps: comparing the working status assessment value with each working status assessment value stored in the database, and obtaining the working status assessment level corresponding to the working status assessment value stored in the database that is equal to the working status assessment value, the smaller the working status assessment value, the higher the corresponding working status assessment level.

[0014] Furthermore, the remote communication status of the touch all-in-one machine is evaluated based on the remote communication status data of the touch all-in-one machine to determine whether the remote communication status is qualified, including the following steps: obtaining remote communication status reference data stored in a database, wherein the remote communication status reference data stored in the database includes antenna reference gain, average data decryption time limit value, and data decryption failure number limit value; fusing and analyzing the remote communication status data with the remote communication status reference data stored in the database to obtain a remote communication status evaluation value, wherein the remote communication status evaluation value is used as an analysis basis for determining whether the remote communication status is qualified and obtaining the remote communication status evaluation level; comparing the remote communication status evaluation value with the remote communication status evaluation threshold stored in the database to determine whether the remote communication status evaluation value is greater than the remote communication status evaluation threshold stored in the database: if the remote communication status evaluation value is greater than the remote communication status evaluation threshold stored in the database, the remote communication status is unqualified; if the remote communication status evaluation value is not greater than the remote communication status evaluation threshold stored in the database, the remote communication status is qualified.

[0015] Furthermore, if the remote communication status is qualified, the remote communication status evaluation level is obtained, including the following steps: comparing the remote communication status evaluation value with each remote communication status evaluation value stored in the database, and obtaining the remote communication status evaluation level corresponding to the remote communication status evaluation value stored in the database that is equal to the remote communication status evaluation value, the smaller the remote communication status evaluation value, the higher the corresponding remote communication status evaluation level.

[0016] A touch all-in-one machine management system based on artificial intelligence, used for the above-mentioned touch all-in-one machine management method based on artificial intelligence, including a battery status evaluation module, a working status evaluation module, a remote communication status evaluation module and a comprehensive status evaluation module, wherein: the battery status evaluation module is used to obtain the battery status data of the touch all-in-one machine within a detection cycle, evaluate the battery status of the touch all-in-one machine based on the battery status data of the touch all-in-one machine, judge whether the battery status is qualified, if the battery status is unqualified, issue an early warning prompt, if the battery status is qualified, obtain the battery status evaluation level, the battery status data includes the standard deviation of the battery output current, the maximum energy storage capacity of the battery, and the maximum temperature of the battery when working; the working status evaluation module is used to obtain the working status data of the touch all-in-one machine when the battery status is qualified, evaluate the working status of the touch all-in-one machine based on the working status data of the touch all-in-one machine, judge whether the working status is qualified, if the working status is unqualified, issue an early warning prompt, if the working status is qualified If the working state is qualified, the working state evaluation level is obtained, and the working state data includes the sleep recovery time, the instruction operation delay, the CPU occupancy rate when the instruction operation is executed, and the maximum temperature of the circuit board; the remote communication state evaluation module is used to obtain the remote communication state data of the touch all-in-one machine when the working state is qualified, evaluate the remote communication state of the touch all-in-one machine based on the remote communication state data of the touch all-in-one machine, and judge whether the remote communication state is qualified. If the remote communication state is unqualified, an early warning prompt is issued. If the remote communication state is qualified, the remote communication state evaluation level is obtained, and the remote communication state data includes antenna gain, average data decryption time and number of data decryption failures; the comprehensive state evaluation module is used to evaluate the comprehensive state of the touch all-in-one machine based on the battery state evaluation level, the working state evaluation level and the remote communication state evaluation level, and judge whether the comprehensive state of the touch all-in-one machine is qualified. If the comprehensive state is unqualified, an early warning prompt is issued. If the comprehensive state is qualified, the next detection cycle is entered.

[0017] The present invention has the following beneficial effects:

[0018] This AI-based touch all-in-one management method can detect potential problems and issue early warnings in a timely manner by systematically monitoring and evaluating battery status, working status, and remote communication status, thereby improving the reliability and stability of the equipment. It can not only extend the service life of the touch all-in-one computer, but also ensure its normal operation at critical moments, reduce the risk of failure, and improve user experience and work efficiency.

[0019] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1The present invention is a flow chart of the touch integrated machine management method based on artificial intelligence.

[0021] Figure 2 The graph is a graph showing the change of the grade evaluation value of the touch integrated machine management method based on artificial intelligence with the working status evaluation grade of the present invention.

[0022] Figure 3 This is a flowchart of the touch all-in-one machine management system based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0023] The embodiment of the present application uses an artificial intelligence-based touch all-in-one machine management method and system to systematically monitor and evaluate the battery status, working status and remote communication status, so as to timely discover potential problems and issue early warnings, thereby improving the reliability and stability of the equipment. It can not only extend the service life of the touch all-in-one machine, but also ensure its normal operation at critical moments, reduce the risk of failure, and improve user experience and work efficiency.

[0024] See also Figure 1 The embodiment of the present invention provides a technical solution: a touch all-in-one machine management method based on artificial intelligence, comprising the following steps: within a detection cycle, obtaining battery status data of the touch all-in-one machine, evaluating the battery status of the touch all-in-one machine based on the battery status data of the touch all-in-one machine, judging whether the battery status is qualified, and if the battery status is unqualified, issuing an early warning prompt; if the battery status is qualified, obtaining the battery status evaluation level, the battery status data including the battery output current standard deviation, the battery maximum storage energy, and the maximum temperature of the battery when working.

[0025] The standard deviation of the battery output current is obtained by using a current sensor to monitor the battery output current in real time and record the current value within a certain period of time (for example, a few minutes or a few hours). The collected current data will be used to calculate the standard deviation. In actual operation, the maximum energy storage capacity of the battery can be obtained by monitoring the charging and discharging process of the battery, recording the charging and discharging capacity, and finally obtaining the actual maximum energy storage capacity. The maximum temperature of the battery during operation is obtained by installing a temperature sensor on the battery pack to monitor the temperature of the battery in real time. During operation, the temperature data of the battery is continuously recorded to find the maximum temperature within a specific time period.

[0026] When the battery status is qualified, the working status data of the touch all-in-one machine is obtained, and the working status of the touch all-in-one machine is evaluated based on the working status data of the touch all-in-one machine to determine whether the working status is qualified. If the working status is unqualified, an early warning prompt is given; if the working status is qualified, the working status evaluation level is obtained. The working status data includes sleep recovery time, instruction operation delay, CPU occupancy rate during instruction operation execution, and maximum temperature of the circuit board.

[0027] The sleep recovery time uses a high-precision timer to record the time required from issuing a wake-up command to the device fully recovering to an operational state. In order to improve accuracy, multiple tests can be performed and the average value can be calculated. The instruction operation delay records the timestamp of issuing the instruction in the software. When the device responds to the instruction (such as completing an operation or returning a result), the timestamp is recorded again. The time of issuing the instruction is subtracted from the response time to obtain the instruction operation delay. The CPU occupancy rate during instruction operation execution is monitored in real time by using a performance monitoring tool (such as the monitoring tool provided by the operating system or third-party software). When executing a specific instruction, the change in CPU occupancy rate is recorded, usually expressed as a percentage. The maximum temperature of the circuit board is monitored in real time by installing a temperature sensor on the circuit board. During the operation of the device, the temperature data is recorded regularly. Through data analysis, the highest temperature during the recording period is found.

[0028] When the working status is qualified, the remote communication status data of the touch all-in-one computer is obtained, and the remote communication status of the touch all-in-one computer is evaluated based on the remote communication status data of the touch all-in-one computer to determine whether the remote communication status is qualified. If the remote communication status is unqualified, an early warning prompt is given; if the remote communication status is qualified, the remote communication status evaluation level is obtained. The remote communication status data includes antenna gain, average data decryption time, and number of data decryption failures.

[0029] The antenna gain is measured by using an RF signal strength measuring instrument (such as a signal analyzer). The average data decryption time is calculated by recording the start and end time of each decryption and calculating the average decryption time. The number of data decryption failures is calculated by regularly counting the number of failures. The data can be analyzed within the statistical period (such as every hour or every day) to obtain the total number of decryption failures.

[0030] The comprehensive status of the touch all-in-one machine is evaluated based on the battery status evaluation level, the working status evaluation level and the remote communication status evaluation level to determine whether the comprehensive status of the touch all-in-one machine is qualified. If the comprehensive status is unqualified, an early warning prompt is issued. If the comprehensive status is qualified, the next detection cycle is entered.

[0031] Through the layer-by-layer evaluation of battery, working and remote communication status, a comprehensive monitoring system is established. The qualification of each layer is the premise of the next layer evaluation, ensuring the robustness of the system. In a detection cycle, data is regularly acquired and dynamically evaluated, so that the overall status maintenance can respond to changes in a timely manner and capture potential problems in a timely manner. By setting early warning prompts, measures can be taken immediately when the status evaluation fails to meet the requirements to avoid greater losses when a failure occurs. Based on the comprehensive evaluation of various evaluation levels, all information is integrated to provide a more accurate touch all-in-one status to help decision-making.

[0032] Through monitoring and early warning, problems can be discovered and handled in a timely manner to avoid long-term potential damage, thereby extending the service life of the equipment, ensuring that all operations of the touch-screen all-in-one machine run in the best condition, reducing the probability of failure, and improving the stability and response capabilities of the equipment. Users can use it more smoothly and worry-free. Early detection of problems can reduce hasty repairs and expensive losses after failure, thereby saving maintenance and operating costs.

[0033] Specifically, the comprehensive state of the touch all-in-one machine is evaluated based on the battery state evaluation level, the working state evaluation level and the remote communication state evaluation level to determine whether the comprehensive state of the touch all-in-one machine is qualified, including the following steps: the battery state evaluation level, the working state evaluation level and the remote communication state evaluation level are integrated to obtain a level evaluation value, and the level evaluation value is used as an analysis basis for whether the comprehensive state of the touch all-in-one machine is qualified; the level evaluation value is compared with the level evaluation threshold stored in the database to determine whether the level evaluation value is less than the level evaluation threshold stored in the database: if the level evaluation value is less than the level evaluation threshold stored in the database, the comprehensive state of the touch all-in-one machine is unqualified; if the level evaluation value is not less than the level evaluation threshold stored in the database, the comprehensive state of the touch all-in-one machine is qualified.

[0034] The level assessment thresholds stored in the database are obtained through in-depth analysis of historical data (historical battery status, historical working status and historical communication status) (when using trend analysis to determine the level assessment thresholds stored in the database, the failure rate of the equipment is used as the dependent variable, and the various indicators that affect the performance of the equipment (such as battery power, response time of the working status and communication quality, etc.) are used as independent variables. By performing regression analysis on historical data, the relationship between these independent variables and the failure rate is identified, thereby obtaining a reasonable assessment threshold to ensure that the operating health status of the equipment can be effectively monitored and potential failures can be prevented).

[0035] The battery status evaluation level evaluates the battery based on factors such as the battery's health status, remaining power, and temperature, and assigns it a corresponding level. The working status evaluation level evaluates the overall working performance of the touch all-in-one machine, such as response speed, application running status, and hardware health status, to obtain the working status level. The remote communication status evaluation level evaluates the communication signal quality, data transmission stability, and decryption success rate to form a remote communication status level. The above three evaluation levels are weighted and fused, and a unified level evaluation value may be obtained using simple average weighting, weighted summation, or other synthesis methods. The weights of different indicators can be adjusted according to actual needs to reflect their importance in the comprehensive status. The calculated level evaluation value is compared with the level evaluation threshold in the database. If the evaluation value is less than the threshold, the overall state of the touch all-in-one machine is judged to be unqualified; otherwise, it is judged to be qualified.

[0036] Through multiple independent but related evaluation indicators (battery, working status and communication status), a comprehensive and quantitative evaluation result is provided, which can more objectively reflect the real status of the touch all-in-one machine. Each status of the touch all-in-one machine can be monitored in real time and evaluated immediately to achieve dynamic management and timely discover and solve potential problems. By evaluating and judging the status of the device in advance, preventive measures can be taken before a failure occurs, thereby reducing the failure rate of the device and extending its service life.

[0037] The calculation formula of the grade evaluation value is as follows:

[0038]

[0039] Wherein, Dp is the grade evaluation value, Dd is the battery state evaluation grade, Dg is the working state evaluation grade, Dt is the remote communication state evaluation grade, e is a natural constant, α1 is the battery state evaluation grade weight factor stored in the database, α2 is the battery state evaluation grade weight factor stored in the database, and α3 is the battery state evaluation grade weight factor stored in the database.

[0040] Table 1 Data on changes in grade assessment values ​​as a function of battery status assessment grade

[0041] serial number c Dg Dt <![CDATA[α1]]> <![CDATA[α2]]> <![CDATA[α3]]> Dp 1 1 2 3 0.3 0.3 0.4 3.12 2 2 2 3 0.3 0.3 0.4 3.67 3 3 2 3 0.3 0.3 0.4 4.31 4 4 2 3 0.3 0.3 0.4 5.07

[0042] It can be seen from Table 1 that, when the working status evaluation level and the remote communication status evaluation level remain unchanged, as the battery status evaluation level increases, the level evaluation value also increases, which means that the better the battery status, the better the performance of the touch all-in-one computer.

[0043] Table 2 Data on changes in grade evaluation values ​​as a function of work status evaluation grade

[0044] serial number D Dg Dt <![CDATA[α1]]> <![CDATA[α2]]> <![CDATA[α3]]> Dp 1 2 5 3 0.3 0.3 0.4 5.97 2 2 4 3 0.3 0.3 0.4 5.07 3 2 2 3 0.3 0.3 0.4 3.67 4 2 1 3 0.3 0.3 0.4 3.12

[0045] It can be seen from Table 2 that when the battery status evaluation level and the remote communication status evaluation level remain unchanged, as the working status evaluation level decreases, the level evaluation value also decreases, which means that the worse the working status, the worse the performance of the touch all-in-one computer.

[0046] like Figure 2 It is a curve chart showing the change of grade evaluation value with working state evaluation grade. It can be seen from the figure that from No. 1 to No. 4, the curve chart gradually decreases, which means that the worse the working state, the worse the performance of the touch all-in-one machine.

[0047] The weight factors stored in the database are obtained based on multivariate linear regression analysis, with historical battery status assessment levels, historical working status assessment levels, and historical remote communication status assessment levels as independent variables and historical level assessment values ​​as dependent variables to obtain regression coefficients, which are directly stored in the database as weight factors.

[0048] In this implementation, the calculation formula of the grade evaluation value quantifies and weights different evaluation grades through weight factors to obtain a comprehensive evaluation value. The use of natural constants makes the evaluation value show exponential growth characteristics, emphasizing the nonlinear relationship between equipment states. In other words, a higher evaluation grade will have a significantly greater impact on the final result than a lower evaluation grade, thereby more sensitively reflecting the overall health status of the equipment.

[0049] The battery status assessment level indicates the battery status, which directly affects the operating time and stability of the device. The working status assessment level indicates the operating performance of the device, such as reaction speed, processing power, etc. Poor working status may affect the device's ability to complete the intended task. The remote communication status assessment level indicates that for data transmission, remote monitoring and control, poor communication can easily lead to information delays or loss, thus affecting the management and fault detection of the device. If the battery is in poor condition, work efficiency may decrease, or even fail to operate normally, resulting in a false poor working status assessment. If the device is in poor working condition, it may cause data upload delays or errors, affecting the final communication quality, and battery degradation may affect the operation of the device's communication module, thereby affecting data transmission and remote control.

[0050] The three parameters are selected to cover the key aspects of equipment operation, and their interrelationships make the comprehensive evaluation more accurate and practical, helping to promptly detect and deal with potential problems and ensure equipment reliability and efficiency.

[0051] Specifically, the battery status of the touch all-in-one computer is evaluated based on the battery status data of the touch all-in-one computer to determine whether the battery status is qualified, including the following steps: obtaining battery status reference data stored in a database, the battery status reference data stored in the database including a reference standard deviation of a battery output current, a maximum reference energy storage capacity of the battery, and a maximum reference temperature of the battery when working; fusing and analyzing the battery status data with the battery status reference data stored in the database to obtain a battery status evaluation value, which is used as an analysis basis for determining whether the battery status is qualified and for obtaining a battery status evaluation grade; comparing the battery status evaluation value with a battery status evaluation threshold stored in the database to determine whether the battery status evaluation value is greater than the battery status evaluation threshold stored in the database: if the battery status evaluation value is greater than the battery status evaluation threshold stored in the database, the battery status is unqualified; if the battery status evaluation value is not greater than the battery status evaluation threshold stored in the database, the battery status is qualified.

[0052] The battery status assessment threshold stored in the database can use statistical methods (such as mean, standard deviation, etc.) to analyze the collected data to determine a reasonable threshold so that this threshold reflects the normal range of battery performance and helps to identify abnormal situations.

[0053] Obtain battery status reference data from the database, including output current standard deviation, maximum energy storage, and maximum operating temperature. These data provide the standard and performance baseline for normal operation of the battery, which can be directly obtained from the product requirements and stored in the database. Fusion analysis of real-time battery status data and reference data. By comparing these indicators, the battery status assessment value (such as status score, health index, etc.) can be calculated, which is the basis for whether the battery is qualified. Compare the calculated assessment value with the set assessment threshold. The threshold represents the minimum requirement for the battery in good condition. If the assessment value exceeds the threshold, the battery status is judged to be unqualified; if it does not exceed the threshold, the battery status is considered qualified.

[0054] The use of standardized reference data and thresholds makes the evaluation process more objective and reliable, avoiding errors caused by subjective judgment. By real-time monitoring and analysis of battery status, potential problems can be discovered early, and timely measures can be taken to prevent failures and damage, thereby improving equipment reliability. It integrates multiple key parameters (output current, energy storage, temperature, etc.) to provide a comprehensive battery health assessment, helping to more accurately determine the actual status of the battery.

[0055] The calculation formula of the battery status evaluation value is:

[0056]

[0057] Where Dd is the battery status evaluation value, sB is the battery output current standard deviation, sN is the battery maximum energy storage, sT is the maximum working temperature of the battery, Cb is the battery output current reference standard deviation, Cn is the battery maximum reference energy storage, Ct is the maximum working reference temperature of the battery, which is a natural constant.

[0058] The formula integrates three key factors: the stability of the battery output current, the energy storage capacity, and the operating temperature. Each factor reflects different aspects of the battery's operating status. By using the reference standard deviation and the maximum reference energy storage, the actual performance is compared with the theoretical standard, which helps to objectively evaluate the health of the battery. The use of exponential and logarithmic functions allows the formula to handle battery performance data more flexibly, especially when nonlinear relationships are exhibited, which can better reflect the true state of the battery.

[0059] The standard deviation of the current reflects the fluctuation of the battery's output current during operation. A smaller standard deviation means that the battery's output current has less volatility, which means that the battery can operate stably under load. An increase in current fluctuations may indicate problems inside the battery (such as uneven chemical reactions, connection problems, etc.), which is crucial to assessing the health of the battery. The maximum energy storage capacity reflects the energy storage capacity of the battery under optimal conditions and is an important indicator for judging the remaining service life and health of the battery. Understanding the maximum energy storage capacity can help set safe and optimized charging and discharging strategies when the battery is in use, and avoid damage to the battery caused by overcharging and over-discharging. Temperature is one of the key factors affecting battery performance and life. Under high temperature conditions, the internal reaction of the battery is accelerated, which may lead to safety risks (such as thermal runaway) and capacity decay.

[0060] Fluctuations in output current may be affected by temperature. Rising temperature may cause changes in the internal impedance of the battery, making the current output unstable. The maximum energy storage capacity and the stability of the output current are also interrelated. The loss of energy storage capacity may cause unstable current output, and vice versa. By combining indicators in multiple dimensions, the formula can more comprehensively evaluate the state of the battery, thereby improving the credibility of the evaluation.

[0061] If the battery state is qualified, the battery state assessment level is obtained, including the following steps: the battery state assessment value is compared with each battery state assessment value stored in the database, and the battery state assessment level corresponding to the battery state assessment value stored in the database that is equal to the battery state assessment value is obtained. The smaller the battery state assessment value, the higher the corresponding battery state assessment level.

[0062] Specifically, the working state of the touch all-in-one machine is evaluated based on the working state data of the touch all-in-one machine to determine whether the working state is qualified, including the following steps: obtaining the working state reference data stored in the database, the working state reference data stored in the database includes reference sleep recovery time, reference delay of instruction operation, reference CPU occupancy rate when instruction operation is executed, and reference maximum temperature of the circuit board. The working state reference data stored in these databases can be obtained and stored in the database through the relevant standards in the product requirements book.

[0063] The battery status assessment level is compared with the working status deviation allowance data corresponding to each battery status assessment level stored in the database, and the working status deviation allowance data corresponding to the battery status assessment level equal to the battery status assessment level stored in the database with successful comparison is obtained. The working status deviation allowance data includes the CPU occupancy deviation allowance value and the circuit board maximum temperature deviation allowance value when the instruction operation is executed, wherein the working status deviation allowance data can be obtained through the relevant standards in the product requirements book and stored in the database.

[0064] The working status data, the working status reference data stored in the database and the working status deviation permission data are integrated and analyzed to obtain the working status evaluation value, which is used as the analysis basis for whether the working status is qualified and for obtaining the working status evaluation level; the working status evaluation value is compared with the working status evaluation threshold stored in the database to determine whether the working status evaluation value is greater than the working status evaluation threshold stored in the database: if the working status evaluation value is greater than the working status evaluation threshold stored in the database, the working status is unqualified; if the working status evaluation value is not greater than the working status evaluation threshold stored in the database, the working status is qualified.

[0065] The working state evaluation threshold stored in the database is determined based on historical data (historical working state indicators). Trend analysis can be performed to determine a limit value that can indicate the normal operation of the touch all-in-one machine, and store it in the database as the working state evaluation threshold.

[0066] The calculation formula of the working status evaluation value is:

[0067]

[0068] Where Dg is the working status evaluation value, sHt is the sleep recovery time, syt is the instruction operation delay, sC is the CPU occupancy rate when the instruction operation is executed, sDt is the maximum temperature of the circuit board, cHt is the reference sleep recovery time, cyt is the instruction operation reference delay, cP is the reference CPU occupancy rate when the instruction operation is executed, cDt is the reference maximum temperature of the circuit board, ΔP is the allowable deviation value of the CPU occupancy rate when the instruction operation is executed, and ΔDt is the allowable deviation value of the maximum temperature of the circuit board.

[0069] Each term in the formula represents the relative difference between the current state and the reference state. and We measure the relative performance of sleep recovery time and instruction operation latency respectively. and Measure the deviation of CPU utilization and circuit board temperature to ensure that the device is within a safe and efficient working range. The final "+1" ensures that the result is biased towards positive values ​​within the range of the tanh function, enhancing the stability of the evaluation value. The calculated Dg value can be compared with the preset working status evaluation threshold to determine whether the working status of the device is qualified.

[0070] The sleep recovery time directly affects the device's response speed and user experience. A longer recovery time may mean inefficient management of the device in standby mode. The instruction operation latency reflects the efficiency of the processor in processing tasks. A lower latency means that the device can respond to user input and execute tasks faster, improving overall performance. CPU utilization is an important indicator for evaluating system load. High utilization may cause the device to overheat, respond slowly, or even crash, while a lower CPU utilization may indicate insufficient processing resources and an inability to process instructions normally. Therefore, monitoring the CPU utilization is critical to maintaining device stability. The circuit board temperature directly affects the safety and reliability of the device. Excessive temperature may cause component damage or performance degradation, so monitoring the temperature is a necessary measure to ensure the normal operation of the device.

[0071] sHt and syt together affect the responsiveness of the device. Shorter sleep recovery time and instruction operation latency can improve the user experience and ensure that the device can still respond quickly under high load. There is a direct relationship between sC (CPU utilization) and sDt (circuit board temperature). High CPU utilization usually leads to increased circuit board temperature, so monitoring these two parameters can help predict the thermal management needs of the device. Syt and sC together reflect the execution efficiency of the system. Low instruction operation latency and moderate CPU utilization can ensure that the device maintains stability while running efficiently, avoiding overload and overheating. The comprehensive evaluation of these four parameters can provide a comprehensive perspective on the overall working status of the device. By considering response time, processing efficiency, load and temperature at the same time, it is possible to more accurately determine whether the device is in normal working condition. The selection of the four parameters of sHt, syt, sC and sDt is based on their importance in device performance, responsiveness and reliability, as well as their mutual influence. By comprehensively evaluating these parameters, the working status of the device can be more effectively monitored and optimized to ensure its stable operation in various environments.

[0072] If the working status is qualified, the working status assessment level is obtained, including the following steps: comparing the working status assessment value with each working status assessment value stored in the database, and obtaining the working status assessment level corresponding to the working status assessment value stored in the database that is equal to the working status assessment value. The smaller the working status assessment value, the higher the corresponding working status assessment level.

[0073] Specifically, the remote communication status of the touch all-in-one machine is evaluated based on the remote communication status data of the touch all-in-one machine to determine whether the remote communication status is qualified, including the following steps: obtaining remote communication status reference data stored in a database, the remote communication status reference data stored in the database includes antenna reference gain, data decryption average time limit value and data decryption failure number limit value, wherein the remote communication status reference data stored in the database can be directly obtained from the product requirements document and stored in the database.

[0074] The remote communication status data is integrated and analyzed with the remote communication status reference data stored in the database to obtain a remote communication status evaluation value, which is used as an analysis basis for whether the remote communication status is qualified and for obtaining the remote communication status evaluation level; the remote communication status evaluation value is compared with the remote communication status evaluation threshold stored in the database to determine whether the remote communication status evaluation value is greater than the remote communication status evaluation threshold stored in the database: if the remote communication status evaluation value is greater than the remote communication status evaluation threshold stored in the database, the remote communication status is unqualified; if the remote communication status evaluation value is not greater than the remote communication status evaluation threshold stored in the database, the remote communication status is qualified.

[0075] The stored remote communication status evaluation threshold is determined based on historical data (historical communication status indicators). Trend analysis can be performed to determine a limit value that can represent normal communication of the touch all-in-one machine, and store it in the database as a working status evaluation threshold.

[0076] By continuously monitoring the remote communication status, potential problems can be discovered in a timely manner, equipment failures can be prevented, and long-term stable operation of the equipment can be ensured. Using the reference data and thresholds stored in the database, the evaluation process is more scientific and based on evidence, reducing the possibility of subjective judgment. Qualified remote communication status ensures that the device can better connect to external systems or networks, providing users with a smooth operating experience.

[0077] The calculation formula of the remote communication status evaluation value is:

[0078]

[0079] Where Dt is the evaluation value of the remote communication status, sZ is the antenna gain, Tsm is the average time for data decryption, sbm is the number of data decryption failures, Cz is the antenna reference gain, tJm is the limit value of the average time for data decryption, cbm is the limit value of the number of data decryption failures, and e is a natural constant.

[0080] This involves the antenna gain (reference gain and actual gain). The antenna gain has a significant impact on the communication quality. The larger the gain, the better the communication quality is usually. The ratio of Cz and sZ reflects the actual gain relative to the reference gain. This section considers the efficiency and failure of the data decryption process. It reflects the comparison between the average decryption time and the defined value, so that the impact of decryption speed can be quantified. It reflects the ratio of decryption failures. The relative number of failures affects the evaluation value.

[0081] Antenna gain directly affects the signal strength and reception quality. The higher the gain, the better the signal transmission efficiency. Antennas with good gain can improve signal reception, reduce bit error rates, and thus improve the speed and success rate of data decryption. The average time for data decryption reflects the average time in the decryption process, which directly affects the response speed of communication. A shorter decryption time means faster response and smoother data transmission. If the antenna gain is high and the signal quality is good, the data decryption process can often be more efficient, and the average time Tsm is reduced accordingly, improving the overall communication efficiency. The number of decryption failures directly affects the reliability of data transmission. A higher failure rate may require retransmission or data loss. When the antenna gain is insufficient or the data decryption process is slow, more decryption failures may occur, and the data transmission quality will decrease, thereby increasing the SBM value. Good antenna gain can increase signal strength, thereby reducing errors and speeding up decryption. A shorter decryption time means completing the operation in a smaller time window, and finally reducing the number of failures. When the gain is insufficient, the number of decryption failures caused by poor signal quality increases, which will further lead to a decrease in communication quality.

[0082] The evaluation value changes with the antenna gain and decryption performance, which can timely reflect the fluctuation of system status and help to quickly adjust and optimize. These three parameters combined provide a comprehensive perspective to evaluate the status of long-distance communication. They influence each other and jointly determine the final data transmission efficiency and reliability.

[0083] If the remote communication status is qualified, the remote communication status evaluation level is obtained, including the following steps: the remote communication status evaluation value is compared with each remote communication status evaluation value stored in the database, and the remote communication status evaluation level corresponding to the remote communication status evaluation value stored in the database that is equal to the remote communication status evaluation value is obtained. The smaller the remote communication status evaluation value, the higher the corresponding remote communication status evaluation level.

[0084] An artificial intelligence-based touch integrated machine management system, used in the above-mentioned artificial intelligence-based touch integrated machine management method, such as Figure 3 As shown, it includes a battery status evaluation module, a working status evaluation module, a remote communication status evaluation module and a comprehensive status evaluation module, wherein: the battery status evaluation module is used to obtain the battery status data of the touch all-in-one machine within a detection cycle, evaluate the battery status of the touch all-in-one machine based on the battery status data of the touch all-in-one machine, and judge whether the battery status is qualified. If the battery status is unqualified, an early warning prompt is issued; if the battery status is qualified, the battery status evaluation level is obtained, and the battery status data includes the standard deviation of the battery output current, the maximum storage energy of the battery, and the maximum temperature of the battery when working.

[0085] The working status evaluation module is used to obtain the working status data of the touch all-in-one machine when the battery status is qualified, evaluate the working status of the touch all-in-one machine based on the working status data of the touch all-in-one machine, and judge whether the working status is qualified. If the working status is unqualified, an early warning prompt is issued; if the working status is qualified, the working status evaluation level is obtained. The working status data includes sleep recovery time, instruction operation delay, CPU occupancy rate during instruction operation execution, and maximum temperature of the circuit board.

[0086] The remote communication status evaluation module is used to obtain the remote communication status data of the touch all-in-one computer when the working status is qualified, evaluate the remote communication status of the touch all-in-one computer based on the remote communication status data of the touch all-in-one computer, and determine whether the remote communication status is qualified. If the remote communication status is unqualified, an early warning prompt is issued; if the remote communication status is qualified, the remote communication status evaluation level is obtained. The remote communication status data includes antenna gain, average data decryption time and number of data decryption failures.

[0087] The comprehensive status evaluation module is used to evaluate the comprehensive status of the touch all-in-one machine based on the battery status evaluation level, the working status evaluation level and the remote communication status evaluation level, and determine whether the comprehensive status of the touch all-in-one machine is qualified. If the comprehensive status is unqualified, an early warning prompt is issued. If the comprehensive status is qualified, the next detection cycle is entered.

[0088] An electronic device includes: a processor and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the above-mentioned touch all-in-one machine management method based on artificial intelligence.

[0089] A computer-readable storage medium is used to store a program, and when the program is executed by a processor, the above-mentioned touch all-in-one machine management method based on artificial intelligence is implemented.

[0090] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0091] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0094] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0095] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A touch integrated machine management method based on artificial intelligence, characterized in that: The following steps are involved: In one detection cycle, the battery status data of the touch integrated machine is obtained, and the battery status of the touch integrated machine is evaluated based on the battery status data of the touch integrated machine to determine whether the battery status is qualified. If the battery status is unqualified, an early warning prompt is issued; if the battery status is qualified, the battery status evaluation level is obtained, and the battery status data includes the standard deviation of the battery output current, the maximum energy storage capacity of the battery, and the maximum temperature of the battery when it is working; When the battery status is qualified, the working status data of the touch all-in-one machine is obtained, and the working status of the touch all-in-one machine is evaluated based on the working status data of the touch all-in-one machine to determine whether the working status is qualified. If the working status is unqualified, an early warning prompt is issued; if the working status is qualified, the working status evaluation level is obtained, and the working status data includes sleep recovery time, instruction operation delay, CPU occupancy rate during instruction operation execution, and maximum temperature of the circuit board; When the working state is qualified, remote communication state data of the touch all-in-one machine is obtained, and the remote communication state of the touch all-in-one machine is evaluated based on the remote communication state data of the touch all-in-one machine to determine whether the remote communication state is qualified. If the remote communication state is unqualified, an early warning prompt is issued; if the remote communication state is qualified, the remote communication state evaluation level is obtained, and the remote communication state data includes antenna gain, average data decryption time, and number of data decryption failures; The comprehensive status of the touch all-in-one machine is evaluated based on the battery status evaluation level, the working status evaluation level and the remote communication status evaluation level to determine whether the comprehensive status of the touch all-in-one machine is qualified. If the comprehensive status is unqualified, an early warning prompt is issued. If the comprehensive status is qualified, the next detection cycle is entered.

2. The touch integrated machine management method based on artificial intelligence according to claim 1 is characterized in that: The step of evaluating the comprehensive state of the touch integrated machine based on the battery state evaluation level, the working state evaluation level, and the remote communication state evaluation level to determine whether the comprehensive state of the touch integrated machine is qualified comprises the following steps: The battery status evaluation level, the working status evaluation level and the remote communication status evaluation level are integrated to obtain a level evaluation value, which is used as an analysis basis for whether the comprehensive status of the touch all-in-one machine is qualified; Compare the grade evaluation value with the grade evaluation threshold stored in the database to determine whether the grade evaluation value is less than the grade evaluation threshold stored in the database: If the grade evaluation value is less than the grade evaluation threshold stored in the database, the overall status of the touch all-in-one machine is unqualified; If the grade evaluation value is not less than the grade evaluation threshold stored in the database, the comprehensive state of the touch all-in-one machine is qualified.

3. The touch integrated machine management method based on artificial intelligence according to claim 2 is characterized in that: The calculation formula of the grade evaluation value is as follows: Wherein, Dp is the grade evaluation value, Dd is the battery state evaluation grade, Dg is the working state evaluation grade, Dt is the remote communication state evaluation grade, e is a natural constant, α1 is the battery state evaluation grade weight factor stored in the database, α2 is the battery state evaluation grade weight factor stored in the database, and α3 is the battery state evaluation grade weight factor stored in the database.

4. The touch integrated machine management method based on artificial intelligence according to claim 2 is characterized in that: The step of evaluating the battery status of the touch integrated machine based on the battery status data of the touch integrated machine and judging whether the battery status is qualified comprises the following steps: Acquire battery status reference data stored in a database, wherein the battery status reference data stored in the database includes a reference standard deviation of a battery output current, a maximum reference energy storage capacity of the battery, and a maximum reference temperature of the battery when the battery is working; The battery status data is integrated and analyzed with the battery status reference data stored in the database to obtain a battery status evaluation value, which is used as an analysis basis for determining whether the battery status is qualified and obtaining a battery status evaluation grade; Compare the battery status evaluation value with the battery status evaluation threshold stored in the database to determine whether the battery status evaluation value is greater than the battery status evaluation threshold stored in the database: If the battery status evaluation value is greater than the battery status evaluation threshold stored in the database, the battery status is unqualified; If the battery status evaluation value is not greater than the battery status evaluation threshold stored in the database, the battery status is qualified.

5. The touch integrated machine management method based on artificial intelligence according to claim 4 is characterized in that: If the battery status is qualified, obtaining the battery status evaluation level includes the following steps: The battery state evaluation value is compared with each battery state evaluation value stored in the database to obtain the battery state evaluation level corresponding to the battery state evaluation value stored in the database that is equal to the battery state evaluation value. The smaller the battery state evaluation value, the higher the corresponding battery state evaluation level.

6. The touch integrated machine management method based on artificial intelligence according to claim 2 is characterized in that: The method of evaluating the working state of the touch all-in-one machine based on the working state data of the touch all-in-one machine and judging whether the working state is qualified comprises the following steps: Acquire working status reference data stored in a database, wherein the working status reference data stored in the database includes reference sleep recovery time, reference delay of instruction operation, reference CPU occupancy rate during instruction operation execution, and reference maximum temperature of a circuit board; Compare the battery state assessment level with the working state deviation allowance data corresponding to each battery state assessment level stored in the database, and obtain the working state deviation allowance data corresponding to the battery state assessment level stored in the database that has successfully compared and is equal to the battery state assessment level, wherein the working state deviation allowance data includes the CPU occupancy deviation allowance value and the circuit board maximum temperature deviation allowance value when the instruction operation is executed; The working state data, the working state reference data stored in the database and the working state deviation allowance data are integrated and analyzed to obtain a working state evaluation value, which is used as an analysis basis for determining whether the working state is qualified and obtaining a working state evaluation grade; Compare the working status evaluation value with the working status evaluation threshold stored in the database to determine whether the working status evaluation value is greater than the working status evaluation threshold stored in the database: If the working status evaluation value is greater than the working status evaluation threshold stored in the database, the working status is unqualified; If the working status evaluation value is not greater than the working status evaluation threshold stored in the database, the working status is qualified.

7. The touch integrated machine management method based on artificial intelligence according to claim 6 is characterized in that: If the working status is qualified, obtaining the working status evaluation level includes the following steps: The working status evaluation value is compared with each working status evaluation value stored in the database to obtain the working status evaluation level corresponding to the working status evaluation value stored in the database that is equal to the working status evaluation value. The smaller the working status evaluation value, the higher the corresponding working status evaluation level.

8. The touch integrated machine management method based on artificial intelligence according to claim 2, characterized in that: The step of evaluating the remote communication state of the touch all-in-one machine based on the remote communication state data of the touch all-in-one machine and judging whether the remote communication state is qualified comprises the following steps: Acquire the remote communication state reference data stored in the database, wherein the remote communication state reference data stored in the database includes the antenna reference gain, the average data decryption time limit value and the data decryption failure number limit value; The remote communication state data is integrated and analyzed with the remote communication state reference data stored in the database to obtain a remote communication state evaluation value, which is used as an analysis basis for determining whether the remote communication state is qualified and obtaining a remote communication state evaluation grade; Compare the remote communication status evaluation value with the remote communication status evaluation threshold stored in the database to determine whether the remote communication status evaluation value is greater than the remote communication status evaluation threshold stored in the database: If the telematics status evaluation value is greater than the telematics status evaluation threshold stored in the database, the telematics status is unqualified; If the remote communication status evaluation value is not greater than the remote communication status evaluation threshold stored in the database, the remote communication status is qualified.

9. The touch integrated machine management method based on artificial intelligence according to claim 8, characterized in that: If the remote communication status is qualified, obtaining the remote communication status evaluation level includes the following steps: The remote communication status evaluation value is compared with each remote communication status evaluation value stored in the database to obtain the remote communication status evaluation level corresponding to the remote communication status evaluation value stored in the database that is equal to the remote communication status evaluation value. The smaller the remote communication status evaluation value, the higher the corresponding remote communication status evaluation level.

10. A touch integrated machine management system based on artificial intelligence, applying the touch integrated machine management method based on artificial intelligence as claimed in any one of claims 1 to 9, characterized in that: It includes battery status assessment module, working status assessment module, remote communication status assessment module and comprehensive status assessment module, among which: The battery status evaluation module is used to obtain the battery status data of the touch all-in-one machine within a detection cycle, evaluate the battery status of the touch all-in-one machine based on the battery status data of the touch all-in-one machine, and determine whether the battery status is qualified. If the battery status is unqualified, an early warning prompt is issued; if the battery status is qualified, the battery status evaluation level is obtained, and the battery status data includes the standard deviation of the battery output current, the maximum energy storage capacity of the battery, and the maximum temperature of the battery when it is working; The working status evaluation module is used to obtain the working status data of the touch all-in-one machine when the battery status is qualified, evaluate the working status of the touch all-in-one machine based on the working status data of the touch all-in-one machine, and judge whether the working status is qualified. If the working status is unqualified, an early warning prompt is issued; if the working status is qualified, the working status evaluation level is obtained, and the working status data includes sleep recovery time, instruction operation delay, CPU occupancy rate when the instruction operation is executed, and the maximum temperature of the circuit board; The remote communication status evaluation module is used to obtain the remote communication status data of the touch all-in-one machine when the working status is qualified, evaluate the remote communication status of the touch all-in-one machine based on the remote communication status data of the touch all-in-one machine, and judge whether the remote communication status is qualified. If the remote communication status is unqualified, an early warning prompt is issued; if the remote communication status is qualified, the remote communication status evaluation level is obtained, and the remote communication status data includes antenna gain, average data decryption time and number of data decryption failures; The comprehensive status evaluation module is used to evaluate the comprehensive status of the touch all-in-one machine based on the battery status evaluation level, the working status evaluation level and the remote communication status evaluation level, and determine whether the comprehensive status of the touch all-in-one machine is qualified. If the comprehensive status is unqualified, an early warning prompt is issued; if the comprehensive status is qualified, the next detection cycle is entered.

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