A digital control method and device based on automatic switching of energy supply by emergency batteries

Abstract

The present invention relates to the field of battery management technology, and discloses a digital control method and device based on automatic switching of energy supply by emergency batteries, comprising: querying the power supply equipment corresponding to the main power supply, collecting performance index information corresponding to the power supply equipment, and calculating the equipment confidence corresponding to the power supply equipment; scheduling the operating status data corresponding to the power supply equipment, extracting the status characterization factors in the operating status data, and calculating the fault impact intensity corresponding to the power supply equipment; analyzing the power supply conditions corresponding to the main power supply, and constructing an energy switching link between the emergency battery and the power supply equipment; calculating the timeliness sensitivity corresponding to the equipment operation tasks, and setting the energy supply priority corresponding to the power supply equipment; calculating the equipment energy supply quota corresponding to the power supply equipment, and using the emergency battery to perform emergency switching energy supply processing on the power supply equipment to obtain the energy supply result. The main purpose of the present invention is to solve the problem of low efficiency of automatic switching of energy supply by emergency batteries.

Description

Technical Field

[0001] The present invention relates to a digital control method and device based on automatic switching of energy supply by emergency batteries, belonging to the technical field of battery management. Background Art

[0002] In today's highly electricity-dependent society, ensuring the stability and reliability of power supply is crucial. Whether it is industrial production, commercial operations or daily life, uninterrupted power supply is the basis for ensuring the normal progress of various activities. With the continuous advancement of science and technology, various electronic equipment and systems have increasingly higher requirements for power quality and reliability. In many critical application scenarios, such as medical facilities, communication base stations, data centers, etc., even a short power outage may lead to serious consequences, including data loss, equipment damage, production stagnation and even life-threatening safety. Traditional power supply systems usually rely on a single main power supply. Once the main power supply fails, manual intervention is often required to switch to the backup power supply. This method not only has a long response time, but is also prone to operational errors. Traditional power supply methods are difficult to achieve refined management and control, which leads to low efficiency of automatic switching of emergency batteries. Summary of the Invention

[0003] The present invention provides a digital control method and device based on automatic switching of energy supply by emergency batteries, the main purpose of which is to solve the problem of low efficiency of automatic switching of energy supply by emergency batteries.

[0004] To achieve the above objectives, the present invention provides a digital control method for automatically switching energy supply based on an emergency battery, comprising:

[0005] Obtaining a main power source to be controlled and its corresponding emergency battery, querying a power supply device corresponding to the main power source, collecting performance indicator information corresponding to the power supply device, and calculating a device confidence level corresponding to the power supply device based on the performance indicator information;

[0006] Dispatching the operating status data corresponding to the power supply device, extracting the status characterization factor in the operating status data, and calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor;

[0007] monitoring working attribute values ​​corresponding to the main power source in real time, constructing a state attribute set corresponding to the main power source based on the working attribute values, analyzing the power supply working condition corresponding to the main power source based on the state attribute set, and constructing an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity;

[0008] querying the device operation priority corresponding to the power supply device, calculating the timeliness sensitivity corresponding to the device operation priority, and setting the energy supply priority corresponding to the power supply device based on the timeliness sensitivity;

[0009] Calculate the device energy supply quota corresponding to the power supply device. When the power supply operating condition is an abnormal condition, combine the device energy supply quota, the energy supply switching link and the energy supply priority, and use the emergency battery to perform emergency switching energy supply processing on the power supply device to obtain the energy supply result.

[0010] Optionally, collecting performance indicator information corresponding to the power supply device includes:

[0011] Collecting information on the power supply device to obtain device information;

[0012] Querying the performance index corresponding to the power supply device, and calculating the similarity coefficient between the performance index and the device information;

[0013] Performing information filtering on the device information according to the similarity coefficient to obtain initial performance indicator information;

[0014] Calibrate the initial performance indicator information to obtain the performance indicator information corresponding to the power supply device

[0015] Optionally, calculating the device confidence level corresponding to the power supply device according to the performance indicator information includes:

[0016] Quantifying the performance indicator information to obtain an indicator information value;

[0017] Querying a performance standard value corresponding to the performance indicator information, and calculating an indicator deviation corresponding to the power supply device based on the performance indicator value and the indicator information value;

[0018] Assign an indicator weight corresponding to the performance indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence level corresponding to the power supply device using the following formula:

[0019]

[0020] Among them, A represents the device confidence level corresponding to the power supply device, 、 、 Respectively represent the weights of the b, c, and r indicators in the indicator weights, 、 、 They represent the indicator deviation of the bth, cth and rth indicators in the indicator deviation respectively, b and c represent the indicator serial numbers, and r represents the total number of indicators.

[0021] Optionally, extracting a situation characterization factor from the operating situation data includes:

[0022] Performing data cleaning on the operating status data to obtain cleaned status data;

[0023] Normalizing the cleaning status data to obtain target status data;

[0024] Extracting features from the target situation data to obtain situation features;

[0025] Analyze the characteristic attributes corresponding to the situation characteristics, and calculate the attribute correlation between the characteristic attributes;

[0026] Based on the attribute correlation, the situation characteristics are integrated to obtain the situation characterization factor in the operation situation data.

[0027] Optionally, the calculating, based on the situation characterization factor, the fault impact intensity corresponding to the power supply device includes:

[0028] Querying the electronic components of the situation characterization factors in the power supply device, and calculating the characterization dispersion between the situation characterization factors;

[0029] evaluating a component failure rate corresponding to the electronic component based on the characterized discreteness;

[0030] Based on the component failure rate and the electronic component, a fault impact intensity corresponding to the power supply device is calculated.

[0031] Optionally, the calculating, based on the component failure rate and the electronic component, the fault impact intensity corresponding to the power supply device includes:

[0032] Collecting quality evaluation data corresponding to the electronic component, and calculating a quality quantization coefficient corresponding to the electronic component based on the quality evaluation data;

[0033] The number of components corresponding to the electronic components is measured, and the fault impact intensity corresponding to the power supply device is calculated by combining the number of components, the component failure rate, and the device quality coefficient using the following formula:

[0034]

[0035] Where D represents the fault impact intensity corresponding to the power supply equipment, represents the component failure rate of the d-th electronic component, represents the mass quantization coefficient of the d-th electronic component, represents the number of the dth electronic component, d represents the component serial number of the electronic component, and q represents the number of types of electronic components.

[0036] Optionally, analyzing the power supply operating condition corresponding to the main power supply based on the state attribute set includes:

[0037] performing clustering processing on the attributes in the state attribute set to obtain a clustered attribute set;

[0038] Extracting attribute feature variables corresponding to the cluster attribute set, and calculating variable contribution corresponding to the attribute feature variables;

[0039] Based on the variable contribution, the attribute feature variables are screened to obtain target feature variables;

[0040] Performing visualization processing on the target characteristic variable to obtain a characteristic variable chart, and analyzing a chart evolution trend corresponding to the characteristic variable chart;

[0041] Analyze the power supply conditions corresponding to the main power supply based on the evolution trend of the chart

[0042] Optionally, calculating the variable contribution corresponding to the attribute feature variable includes:

[0043] The variable contribution corresponding to the attribute feature variable is calculated using the following formula:

[0044]

[0045] Among them, F represents the variable contribution corresponding to the attribute characteristic variable, u represents the total number of variables corresponding to the attribute characteristic variable, and e and e+1 both represent the variable sequence numbers corresponding to the attribute characteristic variable. represents the joint probability between the e-th and e+1-th variables in the attribute feature variables, Indicates the probability of occurrence corresponding to the e-th variable in the attribute feature variable, Indicates the occurrence probability corresponding to the e+1th variable in the attribute feature variable.

[0046] Optionally, the calculating the timeliness sensitivity corresponding to the equipment operation task includes:

[0047] Extracting a task timestamp corresponding to the device operation task, and calculating the task urgency corresponding to the device operation task based on the task timestamp;

[0048] Identifying task information corresponding to the device operation tasks, and calculating task dependencies between the device operation tasks based on the task information;

[0049] The timeliness sensitivity corresponding to the equipment operation task is calculated by combining the task urgency and the task dependency.

[0050] A digital control device based on automatic switching of energy supply by an emergency battery, characterized in that the device comprises:

[0051] a device confidence calculation module, configured to obtain a main power source to be controlled and its corresponding emergency battery, query a power supply device corresponding to the main power source, collect performance indicator information corresponding to the power supply device, and calculate a device confidence corresponding to the power supply device based on the performance indicator information;

[0052] a fault impact intensity calculation module, configured to schedule the operating status data corresponding to the power supply device, extract a status characterization factor from the operating status data, and calculate the fault impact intensity corresponding to the power supply device based on the status characterization factor;

[0053] an energy supply link construction module, configured to monitor in real time the operating attribute values ​​corresponding to the main power source, construct a state attribute set corresponding to the main power source based on the operating attribute values, analyze the power supply operating condition corresponding to the main power source based on the state attribute set, and construct an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity;

[0054] an energy supply priority setting module, configured to query the device operation tasks corresponding to the power supply device, calculate the timeliness sensitivity corresponding to the device operation tasks, and set the energy supply priority corresponding to the power supply device based on the timeliness sensitivity;

[0055] The energy supply processing module is used to calculate the energy supply quota of the equipment corresponding to the power supply equipment. When the power supply operating condition is an abnormal operating condition, the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment in combination with the equipment energy supply quota, the energy supply switching link and the energy supply priority to obtain the energy supply result.

[0056] Compared with the problems described in the background technology, the present invention collects the performance indicator information corresponding to the power supply equipment according to the preset performance indicators, and can obtain the description information of the power supply equipment in specific aspects, thereby providing a basis for the subsequent determination of the equipment confidence. The present invention extracts the situation characterization factors in the operation status data to obtain the key features of the operation status data, thereby providing an important basis for the subsequent calculation of the fault impact intensity corresponding to the power supply equipment. The present invention constructs the state attribute set corresponding to the main power supply based on the working attribute value, and can obtain a set of state description information of the main power supply, and based on the state attribute set, analyzes the power supply working condition corresponding to the main power supply, thereby understanding the operation status corresponding to the main power supply. The problem of row status is solved to facilitate the abnormal judgment and processing of the main power supply. The present invention can understand the time urgency of the equipment operation tasks by calculating the time sensitivity corresponding to the equipment operation tasks, and provides an important basis for the subsequent setting of the energy supply priority corresponding to the power supply equipment. The present invention can understand the specific power supply corresponding to the power supply equipment by calculating the equipment energy supply quota corresponding to the power supply equipment. It should be understood that when the power supply working condition is an abnormal working condition, it means that the main power supply cannot perform power supply processing. Then, combined with the equipment energy supply quota, the energy switching link and the energy supply priority, the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment to improve the efficiency of the automatic switching energy supply of the emergency battery. Therefore, the digital control method and device based on the automatic switching energy supply of the emergency battery proposed in the present invention can improve the efficiency of the automatic switching energy supply of the emergency battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A flow chart of a digital control method for automatic switching of energy supply based on an emergency battery provided in one embodiment of the present invention;

[0058] Figure 2 This is a functional module diagram of a digital control device for automatically switching energy supply based on an emergency battery, provided in one embodiment of the present invention.

[0059] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0060] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0061] The embodiment of the present application provides a digital control method based on automatic switching of energy supply by an emergency battery. The execution subject of the digital control method based on automatic switching of energy supply by an emergency battery includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the digital control method based on automatic switching of energy supply by an emergency battery can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0062] Example 1:

[0063] Reference Figure 1 FIG. 1 is a flow chart of a digital control method for automatically switching energy supply based on an emergency battery according to an embodiment of the present invention. In this embodiment, the digital control method for automatically switching energy supply based on an emergency battery includes:

[0064] S1. Obtain the main power supply to be controlled and its corresponding emergency battery, query the power supply device corresponding to the main power supply, collect performance indicator information corresponding to the power supply device, and calculate the device confidence level corresponding to the power supply device based on the performance indicator information.

[0065] The present invention collects performance indicator information corresponding to the power supply device according to preset performance indicators, and can obtain description information of the power supply device in specific aspects, thereby providing a basis for subsequent determination of device confidence.

[0066] It should be explained that the main power supply to be controlled is the main power supply source that needs to be managed, adjusted or monitored, the emergency battery is the backup power supply or reserve power supply of the main power supply, the power supply equipment is the energy carrier of the main power supply, and the performance index information is the performance description information of the power supply equipment. For example, the power supply equipment corresponding to the main power supply can be obtained through electrical drawings. In some large electrical systems or industrial sites, there will be detailed electrical drawings and design documents, which will clearly mark the connection method of the main power supply, the model and location of the power supply equipment and other information.

[0067] In detail, the collecting of performance indicator information corresponding to the power supply device includes:

[0068] Collecting information on the power supply device to obtain device information;

[0069] Querying the performance index corresponding to the power supply device, and calculating the similarity coefficient between the performance index and the device information;

[0070] Performing information filtering on the device information according to the similarity coefficient to obtain initial performance indicator information;

[0071] Calibration processing is performed on the initial performance indicator information to obtain performance indicator information corresponding to the power supply device.

[0072] It should be explained that the device information is the descriptive record information of the power supply device, the performance indicator is the quantitative evaluation standard corresponding to the power supply device, such as voltage stability, and the similarity coefficient represents the degree of similarity between the performance indicator and the device information.

[0073] Furthermore, the information collection of the power supply device can be achieved through sensor devices, such as voltage sensors and current sensors; the performance indicators corresponding to the power supply device can be obtained from the Internet through human-computer interaction; the similarity coefficient between the performance indicators and the device information can be achieved through a cosine similarity algorithm; the similarity coefficient is compared with a preset threshold, and when the similarity coefficient is greater than the preset threshold, the device information is filtered to obtain initial performance indicator information. The preset threshold can be set to 0.8, or it can be set according to the specific application scenario; the calibration processing of the initial performance indicator information can be achieved through the least squares method.

[0074] The present invention calculates the device confidence level corresponding to the power supply device based on the performance indicator information, which can effectively evaluate the reliability of the power supply device and provide an important basis for the subsequent construction of the energy supply switching link between the emergency battery and the power supply device. The device confidence level represents the degree of device reliability corresponding to the power supply device.

[0075] In detail, the calculating of the device confidence level corresponding to the power supply device according to the performance indicator information includes:

[0076] Quantifying the performance indicator information to obtain an indicator information value;

[0077] Querying a performance standard value corresponding to the performance indicator information, and calculating an indicator deviation corresponding to the power supply device based on the performance indicator value and the indicator information value;

[0078] Assign an indicator weight corresponding to the performance indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence level corresponding to the power supply device using the following formula:

[0079]

[0080] Among them, A represents the device confidence level corresponding to the power supply device, 、 、 Respectively represent the weights of the b, c, and r indicators in the indicator weights, 、 、 They represent the indicator deviation of the bth, cth and rth indicators in the indicator deviation respectively, b and c represent the indicator serial numbers, and r represents the total number of indicators.

[0081] It should be explained that the indicator information value is the numerical expression of the performance indicator information after processing, the performance standard value is the reference value corresponding to the performance indicator information, the indicator deviation represents the degree of deviation of the indicator corresponding to the power supply equipment, and the indicator weight represents the importance corresponding to the performance indicator information.

[0082] Furthermore, the quantitative processing of the performance indicator information can be achieved through a standardization method, such as the Z-score standardization method; the performance standard value corresponding to the performance indicator information can be obtained by querying the technical documents provided by the equipment manufacturer; the difference between the performance indicator value and the indicator information value is calculated to obtain the indicator deviation corresponding to the power supply equipment; the allocation of indicator weights corresponding to the performance indicator information can be achieved through the hierarchical analysis method.

[0083] S2. Dispatching the operating status data corresponding to the power supply device, extracting the status characterization factor in the operating status data, and calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor.

[0084] The present invention can obtain key features of the operating status data by extracting status characterization factors from the operating status data, thereby providing an important basis for the subsequent calculation of the fault impact intensity corresponding to the power supply equipment.

[0085] It should be explained that the operating status data is the recorded data corresponding to the real-time operating status of the power supply device, and the status characterization factor is the core characteristic element representative in the operating status data. Furthermore, the operating status data corresponding to the power supply device can be obtained by scheduling from the data storage platform, and the data storage platform is the data storage library corresponding to the power supply device.

[0086] Specifically, the step of extracting the situation characterization factors from the operation situation data includes:

[0087] Performing data cleaning on the operating status data to obtain cleaned status data;

[0088] Normalizing the cleaning status data to obtain target status data;

[0089] Extracting features from the target situation data to obtain situation features;

[0090] Analyze the characteristic attributes corresponding to the situation characteristics, and calculate the attribute correlation between the characteristic attributes;

[0091] Based on the attribute correlation, feature integration processing is performed on the situation features to obtain a situation characterization factor in the operating situation data.

[0092] It should be explained that the cleaning situation data is the data obtained after removing the invalid data in the operating situation data, the target situation data is the data obtained after eliminating the data differences between the cleaning situation data, the situation characteristics are the time domain characteristics and frequency domain characteristics corresponding to the target situation data, such as mean, variance, maximum value, etc., the characteristic attributes are the properties corresponding to the situation characteristics, and the attribute correlation degree represents the measurement value of the correlation relationship between the characteristic attributes.

[0093] Furthermore, the data cleaning processing of the operating status data can be achieved through the box plot method; the normalization processing of the cleaned status data can be achieved through the minimum-maximum normalization method; the feature extraction of the target status data can be achieved through calculation formulas such as variance, mean, power spectrum density, etc.; the analysis of the characteristic attributes corresponding to the status features can be achieved through the principal component analysis method; the attribute correlation between the characteristic attributes can be achieved through the Pearson correlation coefficient; the status features whose attribute correlation is greater than the preset correlation are subjected to feature integration processing through a simple splicing method to obtain the status characterization factor in the operating status data.

[0094] By calculating the fault impact intensity corresponding to the power supply device based on the situation characterization factor, the present invention can understand the performance degradation degree of the power supply device when a fault occurs, thereby providing a basis for the subsequent construction of the energy supply switching link between the emergency battery and the power supply device.

[0095] It should be explained that the fault impact intensity indicates the degree of decline in equipment performance after the power supply equipment fails. For example, a high fault impact intensity may mean a large fluctuation in output voltage, an abnormal increase or decrease in current, a sharp drop in power, etc., which will seriously affect the normal operation of the equipment or system that relies on the power supply.

[0096] Specifically, the calculating of the fault impact intensity corresponding to the power supply device based on the situation characterization factor includes:

[0097] Querying the electronic components of the situation characterization factors in the power supply device, and calculating the characterization dispersion between the situation characterization factors;

[0098] evaluating a component failure rate corresponding to the electronic component based on the characterized discreteness;

[0099] Based on the component failure rate and the electronic component, a fault impact intensity corresponding to the power supply device is calculated.

[0100] It should be explained that the electronic components are the basic components of the power supply equipment, the characterization discreteness indicates the degree of discreteness of the situation characterization factor in time series, and the component failure rate indicates the failure probability corresponding to the electronic components. Furthermore, the electronic components of the situation characterization factor in the power supply equipment can be obtained by querying the circuit schematic diagram; the calculation steps of the characterization discreteness between the situation characterization factors are: calculating the characterization average value corresponding to the situation characterization factor, calculating the characterization standard deviation corresponding to the situation characterization factor based on the characterization average value and the numerical value corresponding to the situation characterization factor, calculating the ratio of the characterization standard deviation and the numerical value corresponding to the situation characterization factor, and obtaining the characterization discreteness between the situation characterization factors; scheduling the historical data corresponding to the situation characterization factor, analyzing the relationship between the discreteness and failure rate of the situation characterization factor, and evaluating the component failure rate corresponding to the electronic component in combination with the current characterization discreteness.

[0101] Furthermore, as an optional embodiment of the present invention, the calculating the fault impact intensity corresponding to the power supply device based on the component failure rate and the electronic component includes:

[0102] Collecting quality evaluation data corresponding to the electronic component, and calculating a quality quantization coefficient corresponding to the electronic component based on the quality evaluation data;

[0103] The number of components corresponding to the electronic components is measured, and the fault impact intensity corresponding to the power supply device is calculated by combining the number of components, the component failure rate, and the device quality coefficient using the following formula:

[0104]

[0105] Where D represents the fault impact intensity corresponding to the power supply equipment, represents the component failure rate of the d-th electronic component, represents the mass quantization coefficient of the d-th electronic component, represents the number of the dth electronic component, d represents the component serial number of the electronic component, and q represents the number of types of electronic components.

[0106] It can be explained that the quality evaluation data is the quality performance description data corresponding to the electronic component, the quality quantification coefficient represents the quantitative value of the quality level corresponding to the electronic component, and the number of components is the number corresponding to the electronic component. Furthermore, the quality evaluation data corresponding to the electronic component can be obtained by using professional testing equipment to perform performance tests on the electronic components and collect them, such as the measurement of parameters such as resistance, capacitance, inductance, and the test of characteristics such as frequency response, gain, and bandwidth; the calculation of the quality quantification coefficient corresponding to the electronic component can be achieved through a comprehensive evaluation method, such as evaluating the quality of electronic components from multiple dimensions, including technical performance, production process, appearance quality, packaging protection, etc., and each dimension can contain multiple Specific evaluation indicators are used. For example, the technical performance dimension may include electrical performance, mechanical performance, and environmental adaptability; the production process dimension may include raw material quality, production equipment precision, and process flow control. Expert evaluation and scoring: Experts in relevant fields are invited to evaluate and score electronic components across various dimensions and indicators. Experts can assign a score to each indicator based on their experience and expertise. For example, for a semiconductor chip, the average expert score for each indicator is 80 for technical performance, 75 for production process, 85 for appearance quality, and 90 for packaging and protection. Calculation of the quality coefficient: The expert scores are comprehensively processed to determine the quality coefficient of the electronic component. Methods such as weighted average and fuzzy comprehensive evaluation can be used. For example, using the weighted average method, assuming the weights assigned to each dimension are 0.4 for technical performance, 0.3 for production process, 0.2 for appearance quality, and 0.1 for packaging and protection, the quality coefficient = 80 × 0.4 + 75 × 0.3 + 85 × 0.2 + 90 × 0.1 = 80.5.

[0107] S3. Monitor the working attribute values ​​corresponding to the main power supply in real time, construct a state attribute set corresponding to the main power supply based on the working attribute values, analyze the power supply working condition corresponding to the main power supply based on the state attribute set, and construct an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity.

[0108] The present invention constructs a status attribute set corresponding to the main power supply based on the working attribute value, thereby obtaining a set of status description information of the main power supply, and based on the status attribute set, analyzes the power supply working condition corresponding to the main power supply, and then understands the operating status problem corresponding to the main power supply, so as to facilitate abnormal judgment and processing of the main power supply.

[0109] It should be explained that the working attribute value is a quantitative reflection of the operating status of the main power supply, the status attribute set is a data set describing the status corresponding to the main power supply, and the power supply operating condition is a description of the operating status corresponding to the main power supply. Furthermore, real-time monitoring of the working attribute value corresponding to the main power supply can be achieved through monitoring software, such as an intelligent power supply controller; the construction of the status attribute set corresponding to the main power supply can be achieved through ETL (Extract, Transform, Load) tools.

[0110] In detail, the analyzing the power supply operating condition corresponding to the main power supply based on the state attribute set includes:

[0111] performing clustering processing on the attributes in the state attribute set to obtain a clustered attribute set;

[0112] Extracting attribute feature variables corresponding to the cluster attribute set, and calculating variable contribution corresponding to the attribute feature variables;

[0113] Based on the variable contribution, the attribute feature variables are screened to obtain target feature variables;

[0114] Performing visualization processing on the target characteristic variable to obtain a characteristic variable chart, and analyzing a chart evolution trend corresponding to the characteristic variable chart;

[0115] Based on the evolution trend of the chart, the power supply operating condition corresponding to the main power supply is analyzed.

[0116] It should be explained that the cluster attribute set is a set of attributes obtained by clustering the attributes of the same attributes in the state attribute set together, the attribute feature variable is a specific component element of the cluster attribute set, the variable contribution degree represents the corresponding importance degree of the attribute feature variable, the target feature variable is the representative variable corresponding to the attribute feature variable, the feature variable chart is a visual expression result of the target feature variable, and the chart evolution trend represents the changing trend of the feature variable chart.

[0117] Furthermore, clustering of the attributes in the state attribute set can be implemented by a K-Means algorithm; extraction of attribute feature variables corresponding to the clustered attribute set can be implemented by the principal component analysis method described above; the variable with the largest contribution degree is selected from the attribute feature variables, and the other variables are filtered out to obtain the target feature variable; visualization of the target feature variable can be implemented by a drawing tool, such as a Visio drawing tool, calculating the slope of the graph corresponding to the feature variable graph, and analyzing the corresponding graph evolution trend based on the graph slope; based on the graph evolution trend, analyzing the power supply operating condition corresponding to the main power supply; if the graph shows that the output voltage of the main power supply is stable within a reasonable range over time and has small fluctuations, it indicates that the power supply operating condition is relatively stable and can continuously provide reliable power supply to the load; if the graph shows that the output current of the main power supply gradually increases and exceeds the normal operating range, it may mean that the load has increased or some abnormal conditions have occurred inside the power supply, and further inspection is required to determine whether the load equipment has a fault or whether the power supply itself has aging problems; when the temperature change curve over time continues to rise, it may indicate that the main power supply has poor heat dissipation or the load is too heavy, resulting in severe heat generation. In this case, there is a risk in the power supply operating condition, which may affect the life of the power supply or even cause a fault.

[0118] Furthermore, as an optional embodiment of the present invention, the calculating of the variable contribution corresponding to the attribute feature variable includes:

[0119] The variable contribution corresponding to the attribute feature variable is calculated using the following formula:

[0120]

[0121] Among them, F represents the variable contribution corresponding to the attribute characteristic variable, u represents the total number of variables corresponding to the attribute characteristic variable, and e and e+1 both represent the variable sequence numbers corresponding to the attribute characteristic variable. represents the joint probability between the e-th and e+1-th variables in the attribute feature variables, Indicates the probability of occurrence corresponding to the e-th variable in the attribute feature variable, Indicates the occurrence probability corresponding to the e+1th variable in the attribute feature variable.

[0122] Further, It represents the joint probability between the e-th and e+1-th variables in the attribute feature variable. The joint probability can be obtained by counting the joint frequency of the e-th and e+1-th variables appearing together and dividing the joint frequency by the total number of variables. It represents the probability of occurrence of the e-th variable in the attribute feature variable. The probability of occurrence of the e-th variable can be obtained by counting the frequency of occurrence of the e-th variable and dividing the frequency of occurrence by the total number of variables.

[0123] The present invention constructs an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity, thereby facilitating timely switching of the power supply device when the main power supply fails.

[0124] It should be explained that the energy switching link is the connection channel between the emergency battery and the power supply device. When the main power supply fails or is insufficient, the power supply task can be quickly switched to the emergency battery to ensure the continuous operation of critical equipment. Furthermore, based on the device confidence and the fault impact intensity, the device reliability corresponding to the power supply device is analyzed, and the device interface and battery interface corresponding to the power supply device with low device reliability and the emergency battery are queried. The interface parameters corresponding to the device interface and battery interface are extracted. Based on the interface parameters, the power supply protocol between the power supply device and the emergency battery is configured. For example, if the device interface is a USB Type-C interface, it may support voltage levels such as 5V, 9V, 12V, 15V, 20V, etc., and the maximum current capacity may be 3A or higher. The battery interface also has corresponding parameters, such as an output voltage of 12V and a maximum output current of 2A. Based on these interface parameters, the power supply protocol between the power supply device and the emergency battery is configured. If the two interfaces are of the same type and their voltage and current parameters match, the standard power supply protocol for that interface type can be used directly. For example, if both interfaces are USB Type-C, the USB Power Delivery (USB PD) protocol can be used for power negotiation. During the configuration process, ensure that the power supply device can recognize the connection of the emergency battery and adjust its power consumption requirements based on the battery's capacity and output capabilities. At the same time, the emergency battery also needs to be able to communicate with the power supply device and provide its own status information, such as remaining power and charging status. If the interface types are different or the parameters do not completely match, an adapter or conversion circuit can be used to achieve connection and power supply protocol conversion. For example, use a USB to DC adapter to convert the USB output of the emergency battery into the DC voltage required by the power supply device.

[0125] S4. Query the device operation tasks corresponding to the power supply device, calculate the timeliness sensitivity corresponding to the device operation tasks, and set the energy supply priority corresponding to the power supply device based on the timeliness sensitivity.

[0126] By calculating the time sensitivity corresponding to the equipment operation tasks, the present invention can understand the time urgency of the equipment operation tasks, and provide an important basis for the subsequent setting of the energy supply priority corresponding to the power supply equipment. It should be explained that the equipment operation tasks are the core processing tasks corresponding to the power supply equipment, and the query of the equipment operation tasks corresponding to the power supply equipment can be achieved through the device manager.

[0127] Specifically, the calculating of the time sensitivity corresponding to the equipment operation task includes:

[0128] Extracting a task timestamp corresponding to the device operation task, and calculating the task urgency corresponding to the device operation task based on the task timestamp;

[0129] Identifying task information corresponding to the device operation tasks, and calculating task dependencies between the device operation tasks based on the task information;

[0130] The timeliness sensitivity corresponding to the equipment operation task is calculated by combining the task urgency and the task dependency.

[0131] It should be explained that the task timestamp is the current time and deadline corresponding to the device operation task, the task urgency indicates the urgency of the device operation task, the task information is the content description corresponding to the device operation task, and the task dependency indicates the degree of dependency between the device operation tasks.

[0132] Furthermore, the extraction of the task timestamp corresponding to the equipment operation task can be achieved by an extraction tool, which is compiled by a scripting language, such as JS scripting language; based on the deadline in the task timestamp minus the time difference of the current time, and dividing the time difference by the deadline, the task urgency corresponding to the equipment operation task is obtained; the identification of the task information corresponding to the equipment operation task can be achieved by an information identification algorithm, which is compiled by a programming language; the information correlation between the task information is calculated, and the task dependency between the equipment operation tasks is obtained based on the information correlation; corresponding weights are assigned to the task urgency and the task dependency, and the task urgency and the task dependency are respectively multiplied by the corresponding weights and summed to obtain the timeliness sensitivity corresponding to the equipment operation task, and the hierarchical analysis method can be used to assign corresponding weights to the task urgency and the task dependency.

[0133] The present invention sets the energy supply priority corresponding to the power supply device based on the time sensitivity, thereby facilitating the subsequent priority energy supply processing of the power supply device, ensuring priority processing of important tasks. It should be explained that the energy supply priority represents the priority of the power supply device when it is subsequently powered. Furthermore, the energy supply priority corresponding to the power supply device is set based on the numerical value of the time sensitivity. If the time sensitivity value is high, it means that the corresponding operation task of the device is extremely strict on time requirements, and the energy supply priority should be set to a high priority. For example, in scenarios such as medical emergency equipment and important communication equipment, the operation tasks of these devices are highly time-sensitive, and the power supply equipment should give priority to providing them with a stable and reliable power supply to ensure that they will not malfunction due to insufficient power at critical moments.

[0134] S5. Calculate the energy supply quota of the device corresponding to the power supply device. When the power supply operating condition is an abnormal operating condition, combine the energy supply quota of the device, the energy supply switching link and the energy supply priority, and use the emergency battery to perform emergency switching energy supply processing on the power supply device to obtain an energy supply result.

[0135] The present invention calculates the device energy supply quota corresponding to the power supply device to understand the specific power supply amount corresponding to the power supply device. It should be understood that when the power supply operating condition is an abnormal operating condition, it means that the main power supply cannot perform power supply processing. Then, in combination with the device energy supply quota, the energy switching link and the energy supply priority, the emergency battery is used to perform emergency switching energy supply processing on the power supply device to improve the efficiency of automatic switching energy supply of the emergency battery. Furthermore, the calculation of the device energy supply quota corresponding to the power supply device can be achieved through simulation method. Using professional power system simulation software, a model including the power supply device and each powered device is established, and parameters such as the power, load characteristics, and working time of the device are input into the model, and different operating scenarios are set, such as simultaneous startup of devices, device failure, etc. The model is run by the simulation software to analyze the energy supply situation of the power supply device in different scenarios to obtain the value of the energy supply quota; the emergency battery performs emergency switching energy supply processing on the power supply device through an intelligent control system, such as a microcontroller, a programmable logic controller (PLC), etc.

[0136] Compared with the problems described in the background technology, the present invention collects the performance indicator information corresponding to the power supply equipment according to the preset performance indicators, and can obtain the description information of the power supply equipment in specific aspects, thereby providing a basis for the subsequent determination of the equipment confidence. The present invention extracts the situation characterization factors in the operation status data to obtain the key features of the operation status data, thereby providing an important basis for the subsequent calculation of the fault impact intensity corresponding to the power supply equipment. The present invention constructs the state attribute set corresponding to the main power supply based on the working attribute value, and can obtain a set of state description information of the main power supply, and based on the state attribute set, analyzes the power supply working condition corresponding to the main power supply, thereby understanding the operation status corresponding to the main power supply. The problem of the operation status is solved to facilitate the abnormal judgment and processing of the main power supply. The present invention can understand the time urgency of the equipment operation tasks by calculating the time sensitivity corresponding to the equipment operation tasks, and provides an important basis for the subsequent setting of the energy supply priority corresponding to the power supply equipment. The present invention can understand the specific power supply corresponding to the power supply equipment by calculating the equipment energy supply quota corresponding to the power supply equipment. It should be understood that when the power supply working condition is an abnormal working condition, it means that the main power supply cannot perform power supply processing. Then, in combination with the equipment energy supply quota, the energy switching link and the energy supply priority, the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment to improve the efficiency of the automatic switching energy supply of the emergency battery. Therefore, the digital control method based on the automatic switching energy supply of the emergency battery proposed in the present invention is used to improve the efficiency of the automatic switching energy supply of the emergency battery.

[0137] Example 2:

[0138] like Figure 2 FIG. 1 is a functional module diagram of a digital control device for automatically switching energy supply based on an emergency battery, provided by an embodiment of the present invention.

[0139] The digital control device 100 for automatic switching of energy supply based on an emergency battery according to the present invention can be installed in an electronic device. According to the functions to be implemented, the digital control device 100 for automatic switching of energy supply based on an emergency battery can include a device confidence calculation module 101, a fault impact calculation module 102, an energy supply link construction module 103, an energy supply priority setting module 104, and an energy supply processing module 105. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can perform fixed functions, and is stored in the memory of the electronic device.

[0140] In this embodiment, the functions of each module / unit are as follows:

[0141] The device confidence calculation module 101 is used to obtain the main power supply to be controlled and its corresponding emergency battery, query the power supply device corresponding to the main power supply, collect performance indicator information corresponding to the power supply device, and calculate the device confidence corresponding to the power supply device based on the performance indicator information;

[0142] The fault impact calculation module 102 is used to schedule the operating status data corresponding to the power supply device, extract the status characterization factor in the operating status data, and calculate the fault impact intensity corresponding to the power supply device based on the status characterization factor;

[0143] The energy supply link construction module 103 is configured to monitor the working attribute values ​​corresponding to the main power source in real time, construct a state attribute set corresponding to the main power source based on the working attribute values, analyze the power supply working condition corresponding to the main power source based on the state attribute set, and construct an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity;

[0144] The energy supply priority setting module 104 is configured to query the device operation tasks corresponding to the power supply device, calculate the timeliness sensitivity corresponding to the device operation tasks, and set the energy supply priority corresponding to the power supply device based on the timeliness sensitivity;

[0145] The energy supply processing module 105 is used to calculate the energy supply quota of the device corresponding to the power supply device. When the power supply operating condition is an abnormal condition, the emergency battery is used to perform emergency switching energy supply processing on the power supply device in combination with the energy supply quota, the energy supply switching link and the energy supply priority to obtain the energy supply result.

[0146] In detail, each module in the digital control device 100 based on automatic switching of emergency battery power supply described in the embodiment of the present application adopts the same Figure 1 The technical means are the same as the digital control method for automatic switching of energy supply based on emergency batteries described in , and can produce the same technical effects, so I will not go into details here.

[0147] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A digital control method based on automatic switching of energy supply by emergency batteries, characterized in that: The method comprises: Obtaining a main power source to be controlled and its corresponding emergency battery, querying a power supply device corresponding to the main power source, collecting performance indicator information corresponding to the power supply device, and calculating a device confidence level corresponding to the power supply device based on the performance indicator information; Scheduling operation status data corresponding to the power supply device, extracting a status characterization factor from the operation status data, and calculating a fault impact intensity corresponding to the power supply device based on the status characterization factor, wherein calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor includes: Querying the electronic components of the situation characterization factors in the power supply device, and calculating the characterization dispersion between the situation characterization factors; evaluating a component failure rate corresponding to the electronic component based on the characterized discreteness; Calculating the fault impact intensity corresponding to the power supply device based on the component failure rate and the electronic component; The calculating of the fault impact intensity corresponding to the power supply device based on the component failure rate and the electronic component includes: Collecting quality evaluation data corresponding to the electronic component, and calculating a quality quantization coefficient corresponding to the electronic component based on the quality evaluation data; The number of components corresponding to the electronic components is measured, and the fault impact intensity corresponding to the power supply device is calculated by combining the number of components, the component failure rate, and the device quality coefficient using the following formula: Where D represents the fault impact intensity corresponding to the power supply equipment, represents the component failure rate of the d-th electronic component, represents the mass quantization coefficient of the d-th electronic component, represents the number of components of the d-th electronic component, d represents the component serial number of the electronic component, and q represents the number of types of electronic components; monitoring working attribute values ​​corresponding to the main power source in real time, constructing a state attribute set corresponding to the main power source based on the working attribute values, analyzing the power supply working condition corresponding to the main power source based on the state attribute set, and constructing an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity; querying the device operation priority corresponding to the power supply device, calculating the timeliness sensitivity corresponding to the device operation priority, and setting the energy supply priority corresponding to the power supply device based on the timeliness sensitivity; Calculate the device energy supply quota corresponding to the power supply device. When the power supply operating condition is an abnormal condition, combine the device energy supply quota, the energy supply switching link and the energy supply priority, and use the emergency battery to perform emergency switching energy supply processing on the power supply device to obtain the energy supply result.

2. The digital control method for automatic switching of energy supply based on emergency batteries according to claim 1, characterized in that: The collecting of performance indicator information corresponding to the power supply device includes: Collecting information on the power supply device to obtain device information; Querying the performance index corresponding to the power supply device, and calculating the similarity coefficient between the performance index and the device information; Performing information filtering on the device information according to the similarity coefficient to obtain initial performance indicator information; Calibration processing is performed on the initial performance indicator information to obtain performance indicator information corresponding to the power supply device.

3. The digital control method based on automatic switching of energy supply by emergency batteries according to claim 1, characterized in that: Calculating the device confidence level corresponding to the power supply device according to the performance indicator information includes: Quantifying the performance indicator information to obtain an indicator information value; Querying a performance standard value corresponding to the performance indicator information, and calculating an indicator deviation corresponding to the power supply device based on the performance standard value and the indicator information value; Assign an indicator weight corresponding to the performance indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence level corresponding to the power supply device using the following formula: Among them, A represents the device confidence level corresponding to the power supply device, 、 、 Respectively represent the weights of the b, c, and r indicators in the indicator weights, 、 、 They represent the indicator deviation of the bth, cth and rth indicators in the indicator deviation respectively, b and c represent the indicator serial numbers, and r represents the total number of indicators.

4. The digital control method based on automatic switching of energy supply by emergency batteries according to claim 1, characterized in that: The extracting of the situation characterization factor from the operation situation data includes: Performing data cleaning on the operating status data to obtain cleaned status data; Normalizing the cleaning status data to obtain target status data; Extracting features from the target situation data to obtain situation features; Analyze the characteristic attributes corresponding to the situation characteristics, and calculate the attribute correlation between the characteristic attributes; Based on the attribute correlation, feature integration processing is performed on the situation features to obtain a situation characterization factor in the operating situation data.

5. The digital control method based on automatic switching of energy supply by emergency batteries according to claim 1, characterized in that: The analyzing the power supply operating condition corresponding to the main power supply based on the state attribute set includes: performing clustering processing on the attributes in the state attribute set to obtain a clustered attribute set; Extracting attribute feature variables corresponding to the cluster attribute set, and calculating variable contribution corresponding to the attribute feature variables; Based on the variable contribution, the attribute feature variables are screened to obtain target feature variables; Performing visualization processing on the target characteristic variable to obtain a characteristic variable chart, and analyzing a chart evolution trend corresponding to the characteristic variable chart; Based on the evolution trend of the chart, the power supply operating condition corresponding to the main power supply is analyzed.

6. The digital control method for automatic switching of energy supply based on emergency batteries according to claim 5, characterized in that: The calculating the variable contribution corresponding to the attribute feature variable includes: The variable contribution corresponding to the attribute feature variable is calculated using the following formula: Among them, F represents the variable contribution corresponding to the attribute characteristic variable, u represents the total number of variables corresponding to the attribute characteristic variable, and e and e+1 both represent the variable sequence numbers corresponding to the attribute characteristic variable. represents the joint probability between the e-th and e+1-th variables in the attribute feature variables, Indicates the probability of occurrence corresponding to the e-th variable in the attribute feature variable, Indicates the occurrence probability corresponding to the e+1th variable in the attribute feature variable.

7. The digital control method based on automatic switching of energy supply by emergency batteries according to claim 1, characterized in that: The calculating the time sensitivity corresponding to the equipment operation task includes: Extracting a task timestamp corresponding to the device operation task, and calculating the task urgency corresponding to the device operation task based on the task timestamp; Identifying task information corresponding to the device operation tasks, and calculating task dependencies between the device operation tasks based on the task information; The timeliness sensitivity corresponding to the equipment operation task is calculated by combining the task urgency and the task dependency.

8. A digital control device based on automatic switching of energy supply by emergency batteries, characterized in that: The device comprises: a device confidence calculation module, configured to obtain a main power source to be controlled and its corresponding emergency battery, query a power supply device corresponding to the main power source, collect performance indicator information corresponding to the power supply device, and calculate a device confidence corresponding to the power supply device based on the performance indicator information; A fault impact intensity calculation module is configured to schedule the operating status data corresponding to the power supply device, extract a status characterization factor from the operating status data, and calculate the fault impact intensity corresponding to the power supply device based on the status characterization factor. The calculation of the fault impact intensity corresponding to the power supply device based on the status characterization factor includes: Querying the electronic components of the situation characterization factors in the power supply device, and calculating the characterization dispersion between the situation characterization factors; evaluating a component failure rate corresponding to the electronic component based on the characterized discreteness; Calculating the fault impact intensity corresponding to the power supply device based on the component failure rate and the electronic component; The calculating of the fault impact intensity corresponding to the power supply device based on the component failure rate and the electronic component includes: Collecting quality evaluation data corresponding to the electronic component, and calculating a quality quantization coefficient corresponding to the electronic component based on the quality evaluation data; The number of components corresponding to the electronic components is measured, and the fault impact intensity corresponding to the power supply device is calculated by combining the number of components, the component failure rate, and the device quality coefficient using the following formula: Where D represents the fault impact intensity corresponding to the power supply equipment, represents the component failure rate of the d-th electronic component, represents the mass quantization coefficient of the d-th electronic component, represents the number of components of the d-th electronic component, d represents the component serial number of the electronic component, and q represents the number of types of electronic components; an energy supply link construction module, configured to monitor in real time the operating attribute values ​​corresponding to the main power source, construct a state attribute set corresponding to the main power source based on the operating attribute values, analyze the power supply operating condition corresponding to the main power source based on the state attribute set, and construct an energy supply switching link between the emergency battery and the power supply device based on the device confidence and the fault impact intensity; an energy supply priority setting module, configured to query the device operation tasks corresponding to the power supply device, calculate the timeliness sensitivity corresponding to the device operation tasks, and set the energy supply priority corresponding to the power supply device based on the timeliness sensitivity; The energy supply processing module is used to calculate the energy supply quota of the equipment corresponding to the power supply equipment. When the power supply operating condition is an abnormal operating condition, the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment in combination with the equipment energy supply quota, the energy supply switching link and the energy supply priority to obtain the energy supply result.

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