Digital control method and device for automatically switching energy supply based on emergency battery

Abstract

The invention relates to the technical field of battery management, and discloses a digital control method and device based on automatic switching energy supply of an emergency battery, and the method comprises the steps: querying power supply equipment corresponding to a main power supply, collecting the performance index information corresponding to the power supply equipment, and calculating the equipment confidence coefficient corresponding to the power supply equipment; scheduling operation situation data corresponding to the power supply equipment, extracting situation representation factors in the operation situation data, and calculating fault impact strength corresponding to the power supply equipment; analyzing a power supply working condition corresponding to the main power supply, and constructing an energy supply switching link between the emergency battery and the power supply equipment; calculating the aging sensitivity corresponding to the equipment operation offers, and setting the energy supply priority corresponding to the power supply equipment; and calculating an equipment energy supply limit corresponding to the power supply equipment, and executing emergency switching energy supply processing on the power supply equipment by using the emergency battery to obtain an energy supply result. The main purpose of the invention is to solve the problem of low efficiency of automatic switching of energy supply of an emergency battery.

Description

Technical Field

[0001] The 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 society that is highly dependent on electricity, it is crucial to ensure the stability and reliability of power supply. 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 higher and higher requirements for power quality and reliability. In many key 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-mentioned purpose, the present invention provides a digital control method based on automatic switching of energy supply by emergency batteries, comprising:

[0005] 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 according to the performance indicator information;

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

[0007] Monitor the working attribute value 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 value, analyze the power supply 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;

[0008] Querying the equipment operation tasks corresponding to the power supply equipment, calculating the time sensitivity corresponding to the equipment operation tasks, and setting the energy supply priority corresponding to the power supply equipment based on the time sensitivity;

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

[0010] Optionally, the 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] According to the similarity coefficient, the device information is subjected to information filtering processing to obtain initial performance indicator information;

[0014] The initial performance indicator information is calibrated to obtain 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 standard indicator information to obtain an indicator information value;

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

[0018] Assign the indicator weight corresponding to the standard indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence corresponding to the power supply device by the following formula:

[0019]

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

[0021] Optionally, extracting the situation characterization factor in the operation situation data includes:

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

[0023] Normalizing the cleaning situation data to obtain target situation 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 association degree, the situation features are subjected to feature integration processing 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] Query the electronic components of the situation characterization factors in the power supply device, and calculate the characterization dispersion between the situation characterization factors;

[0029] Based on the characterization discreteness, evaluating the component failure rate corresponding to the electronic component;

[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 through the following formula:

[0034]

[0035] Where D represents the fault impact intensity of the power supply equipment, E d represents the component failure rate of the dth electronic component, γd represents the mass quantization coefficient of the dth 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 the electronic component.

[0036] Optionally, analyzing the power supply 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 cluster attribute set;

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

[0039] Based on the variable contribution, the attribute characteristic variables are screened to obtain target characteristic 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] Based on the evolution trend of the chart, the power supply operating condition corresponding to the main power supply is analyzed.

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

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

[0044]

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

[0046] Optionally, the calculating the time 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 equipment operation tasks, and calculating task dependencies between the equipment operation tasks based on the task information;

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

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

[0051] The device confidence calculation module 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 the performance index information corresponding to the power supply device, and calculate the device confidence corresponding to the power supply device according to the performance index information;

[0052] A fault impact degree calculation module, used for scheduling the operation status data corresponding to the power supply device, extracting the status characterization factor in the operation status data, and calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor;

[0053] An energy supply link construction module is used to monitor the working attribute value 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 value, 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;

[0054] An energy supply priority setting module, used to query the equipment operation tasks corresponding to the power supply equipment, calculate the time sensitivity corresponding to the equipment operation tasks, and set the energy supply priority corresponding to the power supply equipment based on the time 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 condition is an abnormal condition, the energy supply quota of the equipment, the energy supply switching link and the energy supply priority are combined, and the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment 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 device according to the preset performance indicators, and can obtain the description information of the power supply device 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 device. The present invention constructs the state attribute set corresponding to the main power supply based on the working attribute value, and can obtain the set of state description information of the main power supply. Based on the state attribute set, the power supply working condition corresponding to the main power supply is analyzed, thereby understanding the operation status corresponding to the main power supply. The present invention solves the problem of operation status in order to facilitate the abnormal judgment and processing of the main power supply. By calculating the time sensitivity corresponding to the equipment operation task, the present invention can understand the time urgency of the equipment operation task, and provide an important basis for the subsequent setting of the energy supply priority corresponding to the power supply equipment. The present invention calculates the equipment energy supply quota corresponding to the power supply equipment, and can understand the specific power supply corresponding to the power supply equipment. It should be understood that when the power supply condition is an abnormal condition, it means that the main power supply cannot perform power supply processing. In combination with the equipment energy supply quota, the energy supply 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 automatic switching energy supply of the emergency battery. Therefore, the digital control method and device based on automatic switching energy supply of the emergency battery proposed in the present invention can improve the efficiency of 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 automatically switching energy supply based on an emergency battery provided in one embodiment of the present invention;

[0058] Figure 2 A functional module diagram of a digital control device for realizing automatic switching of 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 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 used 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] Embodiment 1:

[0063] Reference Figure 1 FIG. 1 is a flow chart of a digital control method for automatically switching power supply based on an emergency battery provided by an embodiment of the present invention. In this embodiment, the digital control method for automatically switching power 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 equipment corresponding to the main power supply, collect performance indicator information corresponding to the power supply equipment, and calculate the equipment confidence corresponding to the power supply equipment 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 supply carrier of the main power supply, and the performance indicator information is the performance description information of the power supply equipment. By way of 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] According to the similarity coefficient, the device information is subjected to information filtering processing to obtain initial performance indicator information;

[0071] The initial performance indicator information is calibrated to obtain performance indicator information corresponding to the power supply device.

[0072] It should be explained that the device information is the description 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 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 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, wherein the device confidence indicates the device reliability degree corresponding to the power supply device.

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

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

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

[0078] Assign the indicator weight corresponding to the standard indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence corresponding to the power supply device by the following formula:

[0079]

[0080] Among them, A represents the device confidence level corresponding to the power supply device, β b, β c , β r Respectively represent the weights of the bth, cth, and rth indicators in the indicator weights, B b , B c , B r They respectively represent the indicator deviation of the b, c, and r indicators in the indicator deviation. b and c represent the indicator sequence 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 standard indicator information after processing, the performance standard value is the reference value corresponding to the performance indicator information, the indicator deviation degree indicates the degree of deviation of the indicator corresponding to the power supply equipment, and the indicator weight indicates the importance corresponding to the standard indicator information.

[0082] Furthermore, the quantitative processing of the standard indicator information can be achieved through a standardization method, such as a 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 standard indicator information can be achieved through a hierarchical analysis method.

[0083] S2. Dispatching the operation status data corresponding to the power supply device, extracting the status characterization factor in the operation 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 device.

[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 representative of the core characteristic elements 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 factor from the operation situation data includes:

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

[0088] Normalizing the cleaning situation data to obtain target situation 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 association degree, the situation features are subjected to feature integration processing to obtain the situation characterization factor in the operation 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 characteristics 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 characteristics 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 the fault impact intensity corresponding to the power supply device based on the situation characterization factor includes:

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

[0098] Based on the characterization discreteness, evaluating the component failure rate corresponding to the electronic component;

[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 factors in time series, the component failure rate indicates the failure probability corresponding to the electronic components, and further, the electronic components of the situation characterization factors 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 factors, analyzing the relationship between the discreteness and the failure rate of the situation characterization factors, and evaluating the component failure rate corresponding to the electronic components in combination with the current characterization discreteness.

[0101] Further, 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 through the following formula:

[0104]

[0105] Where D represents the fault impact intensity of the power supply equipment, E d represents the component failure rate of the dth electronic component, γ d represents the mass quantization coefficient of the dth 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 the electronic component.

[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 quantified 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 testing 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, for example, the technical performance dimension may include electrical performance, mechanical performance, environmental adaptability and other indicators; the production process dimension may include raw material quality, production equipment accuracy, process flow control and other indicators. Expert evaluation and scoring: Invite experts in related fields to evaluate and score electronic components in various dimensions and indicators. Experts can give a score for each indicator based on their own experience and professional knowledge. Assume that for a semiconductor chip, the average score given by experts in various indicators of technical performance dimension is 80 points, the production process dimension is 75 points, the appearance quality dimension is 85 points, and the packaging protection dimension is 90 points. Calculate the quality coefficient: Comprehensively process the expert's score to obtain the quality coefficient of the electronic component. Methods such as weighted average method and fuzzy comprehensive evaluation method can be used. For example, using the weighted average method, assuming that 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 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 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 equipment confidence and the fault impact intensity.

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

[0109] It needs to 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 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 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 cluster attribute set;

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

[0113] Based on the variable contribution, the attribute characteristic variables are screened to obtain target characteristic 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 a 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, the clustering of the attributes in the state attribute set can be implemented by the K-Means algorithm; the extraction of the attribute characteristic variables corresponding to the cluster attribute set can be implemented by the above-mentioned principal component analysis method; the variable with the largest contribution degree is selected from the attribute characteristic variables, and the other variables are filtered out to obtain the target characteristic variable; the visualization of the target characteristic variable can be implemented by a drawing tool, such as a Visio drawing tool, to calculate the slope of the chart corresponding to the characteristic variable chart, and analyze the corresponding chart evolution trend according to the chart slope; based on the chart evolution trend, the power supply condition corresponding to the main power supply is analyzed. If the chart shows that the output voltage of the main power supply is stable within a reasonable range over time and the fluctuation is small, it means that the power supply condition is relatively stable and can continuously provide reliable power supply to the load. If the chart shows that the output current of the main power supply gradually increases and exceeds the normal working range, it may mean that the load has increased or some abnormal conditions have occurred inside the power supply. It is necessary to further check 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 heating. In this case, there is a risk of power supply condition, which may affect the life of the power supply or even cause failure.

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

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

[0120]

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

[0122] Furthermore, p(G e , G e+1 ) 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. p(G e) represents the occurrence probability of the e-th variable in the attribute feature variable. The occurrence probability of the e-th variable can be obtained by counting the occurrence frequency of the e-th variable and dividing the occurrence frequency 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 strength, thereby facilitating timely switching of the power supply device when a subsequent main power failure occurs.

[0124] It should be explained that the energy switching link is a connection channel between the emergency battery and the power supply device. When the main power fails or the power supply is insufficient, the power supply task can be quickly switched to the emergency battery to ensure the continuous operation of key equipment. Further, based on the device confidence and the fault impact intensity, the device reliability corresponding to the power supply device is analyzed, the device interface and battery interface corresponding to the power supply device with low device reliability and the emergency battery are queried, and the interface parameters corresponding to the device interface and the battery interface are extracted. According to 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 of 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. According to these interface parameters, the power supply protocol between the power supply device and the emergency battery is configured. If the interface types of the two are the same and the voltage and current parameters match, the standard power supply protocol of the interface type can be used directly. For example, if both are USB Type-C interfaces, the USB Power Delivery (USB PD) protocol can be used for power supply negotiation. During the configuration process, ensure that the power supply device can recognize the connection of the emergency battery and adjust its own power consumption requirements according to the battery capacity and output capacity. 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, charging status, etc. If the interface types are different or the parameters are not completely matched, an adapter or conversion circuit can be used to achieve the 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 equipment operation tasks corresponding to the power supply device, calculate the time sensitivity corresponding to the equipment operation tasks, and set the energy supply priority corresponding to the power supply device based on the time 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] In detail, the calculating 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 equipment operation tasks, and calculating task dependencies between the equipment operation tasks based on the task information;

[0130] The time sensitivity corresponding to the equipment operation task is calculated by combining the element 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 through an extraction tool, which is compiled by a scripting language, such as JS scripting language; based on the time difference between the deadline in the task timestamp and the current time, the task urgency corresponding to the equipment operation task is obtained, and the time difference is divided by the deadline; the identification of the task information corresponding to the equipment operation task can be achieved through 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 according to the information correlation; corresponding weights are assigned to the element urgency and the task dependency, and the element 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 corresponding weights can be assigned to the element urgency and the task dependency by the hierarchical analysis method.

[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 to ensure that important tasks are processed first. It should be explained that the energy supply priority represents the priority of the power supply device when it is subsequently powered on. 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, 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 fail due to insufficient power at critical moments.

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

[0135] The present invention can understand the specific power supply corresponding to the power supply device by calculating the device energy supply quota corresponding to the power supply device. It should be understood that when the power supply condition is an abnormal condition, it means that the main power supply cannot perform power supply processing. Then, in combination with the device energy supply quota, the energy supply 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 a 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 the device, 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 can perform 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 device according to the preset performance indicators, and can obtain the description information of the power supply device 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 device. The present invention constructs the state attribute set corresponding to the main power supply based on the working attribute value, and can obtain the set of state description information of the main power supply. Based on the state attribute set, the power supply working condition corresponding to the main power supply is analyzed, thereby understanding the operation status corresponding to the main power supply. The present invention solves the problem of operation status in order to facilitate the abnormal judgment and processing of the main power supply. By calculating the time sensitivity corresponding to the equipment operation task, the present invention can understand the time urgency of the equipment operation task, and provide an important basis for the subsequent setting of the energy supply priority corresponding to the power supply equipment. The present invention calculates the equipment energy supply quota corresponding to the power supply equipment, and can understand the specific power supply corresponding to the power supply equipment. It should be understood that when the power supply condition is an abnormal condition, it means that the main power supply cannot perform power supply processing. In combination with the equipment energy supply quota, the energy supply 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 automatic switching energy supply of the emergency battery. Therefore, the digital control method based on automatic switching energy supply of the emergency battery proposed in the present invention improves the efficiency of automatic switching energy supply of the emergency battery.

[0137] Embodiment 2:

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

[0139] The digital control device 100 based on automatic switching of energy supply by emergency battery described in the present invention can be installed in an electronic device. According to the functions to be implemented, the digital control device 100 based on automatic switching of energy supply by 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 an electronic device processor and can complete fixed functions, which are 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 according to the performance indicator information;

[0142] The fault impact degree calculation module 102 is used to schedule the operation status data corresponding to the power supply device, extract the status characterization factor in the operation 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 used to monitor the working attribute value 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 value, analyze the power supply 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;

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

[0145] The energy supply processing module 105 is used to calculate the device energy supply quota corresponding to the power supply device. When the power supply 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 device energy supply quota, the energy supply switching link and the energy supply priority to obtain an energy supply result.

[0146] In detail, each module described in the digital control device 100 based on automatic switching of emergency battery power supply described in the embodiment of the present application is used in the same manner as described above. Figure 1 The technical means are the same as the digital control method based on automatic switching of energy supply by emergency batteries described in, and can produce the same technical effects, so they will not be repeated here.

[0147] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, 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 solution of the present invention rather than to limit it. 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 solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution 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: 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 according to the performance indicator information; Dispatching the operation status data corresponding to the power supply device, extracting the status characterization factor in the operation status data, and calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor; Monitor the working attribute value 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 value, analyze the power supply 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; Querying the equipment operation tasks corresponding to the power supply equipment, calculating the time sensitivity corresponding to the equipment operation tasks, and setting the energy supply priority corresponding to the power supply equipment based on the time sensitivity; Calculate the device energy supply quota corresponding to the power supply device. When the power supply condition is an abnormal condition, combine the device energy supply quota, the energy supply switching link and the energy supply priority, use the emergency battery to perform emergency switching energy supply processing on the power supply device, and obtain the energy supply result.

2. The digital control method based on automatic switching of energy supply by emergency batteries as claimed in claim 1 is 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; According to the similarity coefficient, the device information is subjected to information filtering processing to obtain initial performance indicator information; The initial performance indicator information is calibrated 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 battery according to claim 1, characterized in that: The calculating, according to the performance indicator information, the device confidence level corresponding to the power supply device, comprises: Quantifying the standard indicator information to obtain an indicator information value; Querying the performance standard value corresponding to the performance indicator information, and calculating the indicator deviation corresponding to the power supply device based on the performance indicator value and the indicator information value; Assign an indicator weight corresponding to the standard indicator information, combine the indicator weight and the indicator deviation, and calculate the device confidence corresponding to the power supply device by the following formula: Among them, A represents the device confidence level corresponding to the power supply device, β b , β c , β r Respectively represent the weights of the bth, cth, and rth indicators in the indicator weights, B b , B c , B r They respectively represent the indicator deviation of the b, c, and r indicators in the indicator deviation. b and c represent the indicator sequence numbers, and r represents the total number of indicators.

4. The digital control method based on automatic switching of energy supply by emergency batteries as claimed in claim 1 is characterized in that: The extracting of the situation characterization factor in the operation situation data comprises: Performing data cleaning on the operation status data to obtain cleaned status data; Normalizing the cleaning situation data to obtain target situation 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 association degree, the situation features are subjected to feature integration processing to obtain the situation characterization factor in the operation situation data.

5. The digital control method based on automatic switching of energy supply by emergency battery according to claim 1, characterized in that: The calculating, based on the situation characterization factor, the fault impact intensity corresponding to the power supply device includes: Query the electronic components of the situation characterization factors in the power supply device, and calculate the characterization dispersion between the situation characterization factors; Based on the characterization discreteness, evaluating the component failure rate corresponding to the electronic component; Based on the component failure rate and the electronic component, a fault impact intensity corresponding to the power supply device is calculated.

6. The digital control method based on automatic switching of energy supply by emergency battery as claimed in claim 5, characterized in that: The calculating, based on the component failure rate and the electronic component, the fault impact intensity corresponding to the power supply device 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 through the following formula: Where D represents the fault impact intensity of the power supply equipment, E d represents the component failure rate of the dth electronic component, γ d represents the mass quantization coefficient of the dth 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 the electronic component.

7. The digital control method based on automatic switching of energy supply by emergency batteries as claimed in claim 1 is characterized in that: The analyzing the power supply 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 cluster attribute set; Extracting attribute feature variables corresponding to the cluster attribute set, and calculating the variable contribution corresponding to the attribute feature variables; Based on the variable contribution, the attribute characteristic variables are screened to obtain target characteristic 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.

8. The digital control method based on automatic switching of energy supply by emergency batteries as claimed in claim 7 is 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 by the following formula: Among them, F represents the variable contribution corresponding to the attribute feature variable, u represents the total number of variables corresponding to the attribute feature variable, e and e+1 both represent the variable sequence number corresponding to the attribute feature variable, p(G e , G e+1 ) represents the joint probability between the e-th and e+1-th variables in the attribute feature variables, p(G e ) represents the occurrence probability corresponding to the e-th variable in the attribute feature variable, p(G e+1 ) represents the occurrence probability corresponding to the e+1th variable in the attribute feature variable.

9. The digital control method based on automatic switching of energy supply by emergency batteries as claimed in 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 equipment operation tasks, and calculating task dependencies between the equipment operation tasks based on the task information; The time sensitivity corresponding to the equipment operation task is calculated by combining the element urgency and the task dependency.

10. A digital control device based on automatic switching of energy supply by emergency batteries, characterized in that: The device comprises: The device confidence calculation module 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 the performance index information corresponding to the power supply device, and calculate the device confidence corresponding to the power supply device according to the performance index information; A fault impact degree calculation module, used for scheduling the operation status data corresponding to the power supply device, extracting the status characterization factor in the operation status data, and calculating the fault impact intensity corresponding to the power supply device based on the status characterization factor; An energy supply link construction module is used to monitor the working attribute value 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 value, 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; An energy supply priority setting module, used to query the equipment operation tasks corresponding to the power supply equipment, calculate the time sensitivity corresponding to the equipment operation tasks, and set the energy supply priority corresponding to the power supply equipment based on the time 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 condition is an abnormal condition, the energy supply quota of the equipment, the energy supply switching link and the energy supply priority are combined, and the emergency battery is used to perform emergency switching energy supply processing on the power supply equipment to obtain the energy supply result.

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