High-precision power supply management and control method and device for operating table and medium

Abstract

The invention provides a high-precision power supply management and control method and device for an operating table and a medium, and relates to the technical field of power supply management and control, and the method comprises the steps: obtaining an interference power equipment list and power equipment distribution information, generating an electromagnetic intensity distribution circular graph list, carrying out the interference analysis of operating table power supply control parameters according to first fusion electromagnetic intensity, and obtaining a first fusion electromagnetic intensity distribution circular graph list; when the first operating table power supply state fluctuation coefficient is smaller than or equal to a power supply state fluctuation coefficient threshold value, operating table power supply control is carried out. The technical problem that in the prior art, due to the fact that interference of other electromagnetic equipment in an operating room is not fully considered in traditional operating table power supply control, only partial electromagnetic interference is shielded and isolated, quantitative analysis is lacked, and consequently the operating table power supply electromagnetic interference state is difficult to master in a refined mode can be solved; by analyzing and controlling the interference of other power equipment on the power supply of the operating table, the power fluctuation caused by the electromagnetic interference is reduced, and the technical effect of improving the power supply stability is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of power supply control, and in particular to a high-precision power supply control method, device and medium for an operating table. Background Art

[0002] The operating room is usually equipped with a variety of electromagnetic equipment, such as electric knives, anesthesia machines, monitoring equipment, etc. These devices will generate electromagnetic interference during operation. This complex electromagnetic environment may affect the normal operation of the operating table equipment, especially for those medical devices that have extremely high requirements for power supply stability. Existing operating table power supply control methods usually rely on traditional electromagnetic shielding and isolation technology to reduce the impact of electromagnetic interference in the operating room on the operating table power supply. However, the disadvantage of this method is that it fails to fully consider the electromagnetic interference of non-operating table power equipment in the operating room. It is impossible to quantify and analyze electromagnetic interference by relying solely on shielding and isolation, which makes it difficult to accurately control the electromagnetic interference state of the operating table power supply.

[0003] To sum up, there is a technical problem in the prior art that it is difficult to precisely control the electromagnetic interference status of the operating table power supply because the traditional operating table power supply control does not fully consider the interference of other electromagnetic equipment in the operating room, only relies on shielding to isolate part of the electromagnetic interference, and lacks quantitative analysis. Summary of the invention

[0004] The purpose of this application is to provide a high-precision power supply control method, equipment and medium for an operating table, so as to solve the technical problem in the prior art that the traditional power supply control of the operating table does not fully consider the interference of other electromagnetic equipment in the operating room, only relies on shielding to isolate part of the electromagnetic interference, lacks quantitative analysis, and makes it difficult to finely control the electromagnetic interference status of the operating table power supply.

[0005] In view of the above problems, the present application provides a high-precision power supply control method, device and medium for an operating table.

[0006] In a first aspect, the present application provides a high-precision power supply control method for an operating table, wherein the method includes: obtaining a list of interfering power equipment and power equipment distribution information, wherein the interfering power equipment refers to non-operating table power equipment in the operating room; traversing the list of interfering power equipment to perform electromagnetic interference analysis, and generate a list of electromagnetic intensity distribution donut charts; performing magnetic field distribution according to the power equipment distribution information and in combination with the electromagnetic intensity distribution donut chart list, to obtain a first fused electromagnetic intensity at the distribution position of the operating table; obtaining the power supply control parameters of the operating table; performing interference analysis on the power supply control parameters of the operating table according to the first fused electromagnetic intensity, and obtaining a first power supply state fluctuation coefficient of the operating table; when the first power supply state fluctuation coefficient of the operating table is less than or equal to a power supply state fluctuation coefficient threshold, performing power supply control on the operating table according to the power supply control parameters of the operating table.

[0007] In a second aspect, the present application further provides an electronic device, including: At least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor so that the at least one processor can perform the steps of any one of the methods described in the first aspect above.

[0008] In a third aspect, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed, the steps of the method described in any one of the first aspects are implemented.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages: By obtaining a list of interfering power equipment and power equipment distribution information, wherein the interfering power equipment refers to non-operating table power equipment in the operating room; traversing the interfering power equipment list to perform electromagnetic interference analysis, and generating a list of electromagnetic intensity distribution donut charts; performing magnetic field distribution according to the power equipment distribution information and in combination with the electromagnetic intensity distribution donut chart list, obtaining the first fused electromagnetic intensity of the distribution position of the operating table; obtaining the operating table power supply control parameters; performing interference analysis on the operating table power supply control parameters according to the first fused electromagnetic intensity, and obtaining the first operating table power supply state fluctuation coefficient; when the first operating table power supply state fluctuation coefficient is less than or equal to the power supply state fluctuation coefficient threshold, performing operating table power supply control according to the operating table power supply control parameters. In other words, by analyzing and controlling the interference of other power equipment on the operating table power supply, reducing power fluctuations caused by electromagnetic interference, and achieving the technical effect of improving power supply stability.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A flowchart of a high-precision power supply control method for an operating table according to the present application; Figure 2 This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0013] Description of the reference numerals: bus 300 , receiver 301 , processor 302 , transmitter 303 , memory 304 , bus interface 305 . DETAILED DESCRIPTION

[0014] This application provides a high-precision power supply control method, equipment and medium for an operating table, which solves the technical problem in the prior art that the traditional power supply control of the operating table does not fully consider the interference of other electromagnetic equipment in the operating room, only relies on shielding to isolate part of the electromagnetic interference, and lacks quantitative analysis, making it difficult to finely control the electromagnetic interference state of the operating table power supply. By analyzing and controlling the interference of other power equipment on the power supply of the operating table, the power fluctuation caused by electromagnetic interference is reduced, and the technical effect of improving the stability of the power supply is achieved.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] Embodiment 1 Please see attached Figure 1 The present application provides a high-precision power supply control method for an operating table, wherein the method specifically comprises the following steps: Step 1: Obtain a list of interfering power equipment and power equipment distribution information, wherein the interfering power equipment refers to non-operating table power equipment in the operating room.

[0017] Specifically, there are many electronic devices and instruments in the operating room that may cause electromagnetic interference to the power supply of the operating table. These interfering power devices need to be identified and listed, including non-operating table power devices in the operating room, such as lighting equipment, monitoring equipment, medical instruments, communication equipment, etc. For each device, record its type, power, frequency of use, manufacturer information, installation location and other detailed information. Clarify which devices may interfere with the power supply of the operating table, as well as the location information of these devices, to provide basic data for subsequent electromagnetic interference analysis.

[0018] Step 2: Traverse the list of interfering power equipment to perform electromagnetic interference analysis and generate a list of electromagnetic intensity distribution donut charts.

[0019] Specifically, in the operating room environment, there are a variety of electrical equipment that may generate electromagnetic interference during operation, affecting the power supply quality of the operating table. In order to accurately control the power supply of the operating table, it is necessary to identify these interference sources. According to the list of interfering electrical equipment, extract the first interfering electrical equipment, that is, select the equipment with the greatest impact on the power supply of the operating table as the primary analysis object. Perform electromagnetic interference analysis on each electrical equipment to understand its impact on the power supply of the operating table, including calculating the electromagnetic field strength, frequency and other parameters of the equipment. The analysis results are usually presented in the form of a donut chart, and each donut chart represents the electromagnetic intensity distribution of a device. By traversing the list of interfering electrical equipment, performing electromagnetic interference analysis, and generating a list of electromagnetic intensity distribution donut charts, the electromagnetic interference intensity of different devices can be intuitively displayed, which is convenient for analysis and comparison.

[0020] Step three: Perform magnetic field distribution according to the power equipment distribution information and in combination with the electromagnetic intensity distribution donut chart list to obtain the first fused electromagnetic intensity of the distribution position of the operating table.

[0021] Specifically, the power equipment distribution information includes equipment type, power, frequency of use, manufacturer information, installation location, etc. The electromagnetic intensity distribution donut chart list shows the electromagnetic intensity distribution of each power equipment at different positions and distances in the operating room. The electromagnetic intensity distribution donut chart list is combined with the power equipment distribution information to perform magnetic field distribution analysis. Through complex electromagnetic field simulation and calculation, the electromagnetic intensity at the operating table location is determined to obtain the comprehensive electromagnetic intensity at the distribution location of the operating table, that is, the first fused electromagnetic intensity. This fused electromagnetic intensity is the first fused electromagnetic intensity at the distribution location of the operating table after considering the influence of all power equipment, reflecting the electromagnetic intensity at the location of the operating table, including electromagnetic interference from all power equipment. Analyzing and processing the electromagnetic intensity distribution record sequence helps to improve the accuracy of the electromagnetic intensity data.

[0022] Step 4: Obtain the operating table power supply control parameters.

[0023] Specifically, by consulting the technical specifications of the operating table or consulting the operating table manufacturer, analyze the power requirements of the operating table, including parameters such as voltage, current, and frequency. According to the needs of the operating table and the electromagnetic environment, optimize the power supply control parameters, which involves adjusting parameters such as voltage, current, and frequency to reduce the impact of electromagnetic interference on the power supply of the operating table. Finally, determine the power supply control parameters of the operating table. These parameters will be used for the power supply control of the operating table to ensure the stability and safety of the power supply.

[0024] Step 5: Perform interference analysis on the power supply control parameters of the operating table according to the first fused electromagnetic intensity to obtain a power supply state fluctuation coefficient of the first operating table.

[0025] Specifically, the electromagnetic interference of all power equipment in the operating room is comprehensively considered to obtain the first fusion electromagnetic intensity, and the interference analysis of the power supply control parameters of the operating table is performed to evaluate the sensitivity of the power supply control parameters to electromagnetic interference and the impact of these parameters on the power supply stability of the operating table. Through interference analysis, the first operating table power supply state fluctuation coefficient is obtained. Interference analysis is a technical process used to identify and evaluate the impact of electromagnetic interference or radio frequency interference on equipment, systems or environments. Identify equipment or systems that may generate electromagnetic interference, and use special electromagnetic interference test equipment to measure the electromagnetic interference level generated by the interference source. Evaluate the impact of electromagnetic interference on the operating table power supply system, surgical equipment and other sensitive equipment, determine whether the interference level exceeds the acceptable threshold, and whether it may cause equipment failure or performance degradation. According to the results of the interference analysis, take necessary measures to reduce or eliminate interference, including improving equipment layout, using shielding technology, optimizing the power supply system, replacing sensitive equipment or taking other technical measures. The first operating table power supply state fluctuation coefficient is a quantitative indicator that reflects the stability of the power supply system in actual operation, including evaluation of voltage fluctuations, frequency changes, etc. By obtaining the power supply state fluctuation coefficient of the first operating table, corresponding measures can be taken to optimize the power supply control strategy of the operating table, thereby reducing the impact of electromagnetic interference on the power supply of the operating table.

[0026] Step six: When the power supply status fluctuation coefficient of the first operating table is less than or equal to the power supply status fluctuation coefficient threshold, the power supply of the operating table is controlled according to the power supply control parameters of the operating table.

[0027] Specifically, the power supply state fluctuation coefficient of the first operating table is compared with the power supply state fluctuation coefficient threshold. If the power supply state fluctuation coefficient of the first operating table is less than or equal to the power supply state fluctuation coefficient threshold, it means that the power supply state is stable and the operation can continue. The power supply of the operating table is controlled according to the preset power supply control parameters of the operating table, including voltage, current, frequency, etc., as well as the possible fluctuation range. By adjusting the power supply control parameters, the stability and safety of the power supply of the operating table are ensured. By accurately controlling the power supply of the operating table, the surgical risks caused by power problems can be reduced.

[0028] Furthermore, the present application also includes the following steps: When the power supply state fluctuation coefficient of the first operating table is greater than the power supply state fluctuation coefficient threshold, the list of interfering power equipment is optimized for layout to obtain equipment layout optimization results; the magnetic field distribution is performed based on the equipment layout optimization results combined with the electromagnetic intensity distribution ring diagram list to obtain the second fused electromagnetic intensity at the distribution position of the operating table; interference analysis is performed on the power supply control parameters of the operating table according to the second fused electromagnetic intensity to obtain the second power supply state fluctuation coefficient of the operating table; when the second power supply state fluctuation coefficient of the operating table is less than or equal to the power supply state fluctuation coefficient threshold, the power supply of the operating table is controlled according to the operating table power supply control parameters and the equipment layout optimization results.

[0029] Specifically, when the power supply status fluctuation coefficient of the first operating table is greater than the power supply status fluctuation coefficient threshold, it indicates that the power supply system is unstable and measures need to be taken to optimize it. Analyze the list of power equipment that may generate electromagnetic interference in the operating room, including various medical equipment, lighting systems, monitoring equipment, etc. used in the operating room. Analyze factors such as the location, type, and power of these devices, as well as their impact on the power supply system of the operating table. Perform layout optimization on the list of interfering power equipment, and use optimization algorithms such as genetic algorithms and simulated annealing to find the best equipment layout solution, that is, rearrange the positions of these devices and deploy each device at the farthest distribution distance from the operating table to reduce their electromagnetic interference to the power supply system of the operating table. Obtain the results of the equipment layout optimization, including the new equipment layout diagram, the optimized equipment location, etc.

[0030] Based on the equipment layout optimization results and the electromagnetic intensity distribution donut chart list, the magnetic field distribution analysis is performed. Through complex electromagnetic field simulation and calculation, the second fused electromagnetic intensity of the distribution position of the operating table is obtained, that is, the electromagnetic intensity in the optimized electromagnetic environment. According to the second fused electromagnetic intensity, the interference analysis of the operating table power supply control parameters is performed to evaluate the sensitivity of the power supply control parameters to electromagnetic interference and the influence of these parameters on the power supply stability of the operating table, and the power supply state fluctuation coefficient of the second operating table is obtained. The power supply state fluctuation coefficient of the second operating table is a quantitative indicator that reflects the stability of the power supply system in actual operation after the equipment layout is optimized, including the evaluation of voltage fluctuations, frequency changes, etc. If this coefficient is less than or equal to the power supply state fluctuation coefficient threshold, it means that the power supply system is stable after the equipment layout is optimized. The power supply control can be performed according to the power supply control parameters of the operating table and the equipment layout optimization results. The power supply control parameters include voltage setting, current limit, frequency adjustment, etc., which are used to control the power supply of the operating table. The equipment layout optimization results involve adjusting the position and angle of the equipment or adopting other layout measures to maintain the stability of the power supply system. Through effective power supply control and equipment layout optimization, the continuity and stability of power supply during surgery can be guaranteed.

[0031] Furthermore, the present application also includes the following steps: When the power supply status fluctuation coefficient of the second operating table is greater than the power supply status fluctuation coefficient threshold, an operating table power supply danger signal is generated and sent to the user end.

[0032] Specifically, if the power supply status fluctuation coefficient of the second operating table is greater than the power supply status fluctuation coefficient threshold, it means that the power supply system is unstable, which may pose a threat to the safety of the operation, and it is necessary to generate an operating table power supply danger signal and send it to the user end. The power supply danger signal is a warning signal used to remind medical staff in the operating room to pay attention to the instability of the power supply status. It can be an alarm, warning light, sound prompt or other visual or audible warning signal. By sending power supply danger signals, including displaying on the operation screen, through sound alarms, sending text messages or emails, etc., medical staff can take corresponding measures in time to ensure the safety of the operation. For example, adjust the equipment layout or use electromagnetic shielding materials to reduce electromagnetic interference and ensure the stability and safety of the power supply during the operation. By timely warning of the instability of the power supply system, potential power supply problems can be prevented from causing surgical risks, thereby improving the safety of the operation.

[0033] Further, step 2 of this application includes: According to the list of interfering power equipment, extract the first interfering power equipment; obtain the power equipment model and the interfering power supply status of the first interfering power equipment, wherein the interfering power supply status is the preset power supply status of the first interfering power equipment; collect the electromagnetic intensity monitoring log with the interfering power supply status and the power equipment model as constraints, wherein the electromagnetic intensity monitoring log is a plurality of electromagnetic intensity distribution record sequences; probabilistically reconstruct the plurality of electromagnetic intensity distribution record sequences to generate an electromagnetic intensity distribution reconstruction sequence, wherein the electromagnetic intensity distribution reconstruction sequence has a distribution distance label sequence, and the distribution distance label refers to the distribution distance of the electromagnetic intensity from the first interfering power equipment; construct a first electromagnetic intensity distribution donut chart according to the electromagnetic intensity distribution reconstruction sequence and the distribution distance label sequence, and add it to the electromagnetic intensity distribution donut chart list.

[0034] Specifically, from the list of interfering power equipment, the first interfering power equipment is extracted according to certain standards (such as interference intensity, equipment type, frequency of use, etc.), which usually refers to the equipment with the greatest impact on the power supply of the operating table, or the primary interference source identified in the electromagnetic interference analysis. For the selected interfering power equipment, the specific power equipment model and the preset power supply state are determined. The power equipment model helps to identify the electrical characteristics of the equipment and the possible electromagnetic interference mode. The preset power supply state includes parameters such as voltage, current, and frequency of the equipment when it is working normally. Under the constraints of the interfering power supply state and the power equipment model, it is necessary to collect the related electromagnetic intensity monitoring logs, including several electromagnetic intensity distribution record sequences, each sequence corresponding to a specific monitoring time and location. Through these records, the electromagnetic interference of the first interfering power equipment in different states can be monitored and analyzed in real time. The electromagnetic intensity distribution record sequence contains the electromagnetic intensity data at different positions and distances in the operating room, which is the basis for evaluating and controlling electromagnetic interference. It is usually presented in the form of data tables or charts, but it may be complicated to directly analyze these data. Therefore, it is necessary to reconstruct these data probabilistically to generate a new sequence that is easier to understand and analyze. Probabilistic reconstruction refers to processing the original data, extracting its features, and reorganizing it into a new sequence.

[0035] Extract the first distance electromagnetic intensity set, the second distance electromagnetic intensity set, and the Nth distance electromagnetic intensity set of several electromagnetic intensity distribution record sequences, and divide each electromagnetic intensity distribution record sequence according to different ranges of distance from the operating table, so as to form a series of electromagnetic intensity sets. Perform a central trend analysis on each distance electromagnetic intensity set, group the characteristic electromagnetic intensity values ​​according to the deviation threshold of the electromagnetic intensity, generate the first reconstructed distance characteristic electromagnetic intensity, the second reconstructed distance characteristic electromagnetic intensity, and the Mth reconstructed distance characteristic electromagnetic intensity, and construct the electromagnetic intensity distribution reconstruction sequence. Construct a distribution distance label sequence according to the reconstructed distance. The distribution distance label sequence is used to identify the distance label of each recording point in the electromagnetic intensity distribution reconstruction sequence, so as to better understand the distribution of electromagnetic intensity at different distances. By analyzing the electromagnetic intensity distribution record sequence, the electromagnetic interference in the operating room can be more accurately understood, which helps to improve the accuracy of the electromagnetic intensity data.

[0036] Furthermore, the present application also includes the following steps: Extract the first distance electromagnetic intensity set, the second distance electromagnetic intensity set, and up to the Nth distance electromagnetic intensity set of the plurality of electromagnetic intensity distribution record sequences; traverse the first distance electromagnetic intensity set, the second distance electromagnetic intensity set, and up to the Nth distance electromagnetic intensity set to perform a central tendency analysis, and generate the first distance characteristic electromagnetic intensity, the second distance characteristic electromagnetic intensity, and up to the Nth distance characteristic electromagnetic intensity; perform a neighborhood hierarchical clustering analysis on the first distance characteristic electromagnetic intensity, the second distance characteristic electromagnetic intensity, and up to the Nth distance characteristic electromagnetic intensity according to the electromagnetic intensity deviation threshold, and generate the first reconstructed distance characteristic electromagnetic intensity, the second reconstructed distance characteristic electromagnetic intensity, and up to the Mth reconstructed distance characteristic electromagnetic intensity; construct the electromagnetic intensity distribution reconstruction sequence according to the first reconstructed distance characteristic electromagnetic intensity, the second reconstructed distance characteristic electromagnetic intensity, and up to the Mth reconstructed distance characteristic electromagnetic intensity; construct the distribution distance label sequence according to the first reconstructed distance, the second reconstructed distance, and up to the Mth reconstructed distance.

[0037] Specifically, after collecting the electromagnetic intensity monitoring log, it is necessary to extract the electromagnetic intensity set at different distances. First, the distance interval needs to be determined, which can be defined based on actual measurement data, empirical data or specific standards. Grouping is performed according to the distance, and each electromagnetic intensity distribution record sequence is divided according to different ranges of distance from the operating table, thereby forming a series of electromagnetic intensity sets. For example, the distribution state of the first electromagnetic intensity distribution record sequence is: the intensity value within 1m is 1, and the intensity value of 1m to 2m is 2; the distribution state of the second electromagnetic intensity distribution record sequence is: the intensity value within 1.5m is 1.5, and the intensity value of 1.5m to 3m is 1.8. Then the first distance is 1m, the electromagnetic intensity set is 1 and 1.5; the second distance is 1m to 1.5m, the electromagnetic intensity set is 2 and 1.5; the third distance is 1.5m to 2m, the electromagnetic intensity set is 2 and 1.8; the fourth distance is 2m to 3m, and the electromagnetic intensity set is 1.8. Traverse the electromagnetic intensity set from the first distance to the electromagnetic intensity set from the Nth distance, analyze the data therein, determine the characteristic electromagnetic intensity of each distance interval, that is, the representative electromagnetic intensity value in each distance interval, which reflects the electromagnetic interference characteristics of the distance interval. Central tendency analysis is a statistical method used to determine the central position or typical value of a data set, including calculating statistics such as the mean, median, mode, etc. to identify the typical or representative electromagnetic intensity value of each distance interval.

[0038] According to the specific application scenario and data characteristics, an appropriate electromagnetic intensity deviation threshold is set to determine which electromagnetic intensity values ​​can be considered similar and thus clustered together. A smaller threshold will cause more data points to be classified into the same cluster, resulting in a more detailed clustering result; while a larger threshold may cause more data points to be divided into different clusters, making the clustering result rougher. For example, if the threshold is set to 0.2, then within a certain distance interval, the difference between the electromagnetic intensity values ​​is less than 0.2 will be considered similar. Traverse the set of characteristic electromagnetic intensities in each distance interval and calculate the similarity between the electromagnetic intensity values, usually by calculating the Euclidean distance or Manhattan distance between two electromagnetic intensity values. According to the electromagnetic intensity deviation threshold, similar electromagnetic intensity values ​​are clustered together. After cluster analysis, the characteristic electromagnetic intensities in each distance interval will be grouped into multiple clusters, namely the first reconstructed distance characteristic electromagnetic intensity, the second reconstructed distance characteristic electromagnetic intensity, and the Mth reconstructed distance characteristic electromagnetic intensity. The electromagnetic intensity values ​​in these clusters are considered similar and have similar electromagnetic intensity characteristics.

[0039] The electromagnetic intensity distribution reconstruction sequence constructed based on the characteristic electromagnetic intensity value of the reconstruction distance reflects a new sequence of the electromagnetic interference intensity distribution at different distances. According to the reconstruction distance, the reconstruction distance is sorted and labeled to construct a distribution distance label sequence. This sequence is determined based on the characteristic electromagnetic intensity value of the reconstruction distance, and each label represents a specific distance interval. For example, the first reconstruction distance represents an area within 1 meter, the second reconstruction distance represents an area from 1 meter to 2 meters, and so on, until the Mth reconstruction distance. By extracting useful information from the original electromagnetic intensity distribution record sequence and generating a more accurate reconstruction sequence, the electromagnetic intensity distribution at different distances can be more accurately reflected, thereby improving the accuracy of the analysis.

[0040] Further, step three of this application includes: According to the power equipment distribution information, the electromagnetic intensity distribution ring diagram list is matched with the center of the circle to obtain the electromagnetic intensity distribution status list; according to the distribution position of the operating table, the electromagnetic intensity distribution status list is traversed to extract a number of electromagnetic distribution intensities; according to the several electromagnetic distribution intensities, the historical state is backtracked to obtain an electromagnetic fusion intensity backtracking data set; the electromagnetic fusion intensity backtracking data set is analyzed by the majority to generate the first fusion electromagnetic intensity.

[0041] Specifically, the distribution information of all electrical equipment in the operating room is collected, including the type, quantity, and location of the equipment. According to the distribution information of the electrical equipment, a list of electromagnetic intensity distribution donuts is constructed, and each donut represents the electromagnetic intensity distribution around a power device. The center of the electromagnetic intensity distribution donut list is matched, and the center or center point of each donut is matched with the corresponding power device position. Each donut can be associated with a specific power device to reflect the electromagnetic interference generated by the device. Through center matching, an electromagnetic intensity distribution state list is obtained, which contains the electromagnetic intensity distribution around each power device and the association information between these distributions and the power device position. The distribution position of the operating table is obtained, including the specific position coordinates of the operating table. According to the position of the operating table, the electromagnetic intensity distribution state list is traversed to find the electromagnetic intensity data of several positions closest to the position of the operating table. Extracting electromagnetic distribution intensity data from these positions reflects the characteristics of the electromagnetic environment around the operating table, which helps to evaluate the electromagnetic interference to the operating table.

[0042] Perform a retrospective analysis of the electromagnetic distribution intensity data to analyze the trend of these data changes over time, and obtain an electromagnetic fusion intensity retrospective data set, which contains information about the change of electromagnetic interference over time. Historical state retrospection involves reviewing and analyzing the changes in data over a certain period of time in the past, and is usually used to understand the trend of data changes over time and the reasons behind these changes. For example, analyze the fluctuations of electromagnetic interference during surgery and the impact these fluctuations may have on surgery. Perform a mode analysis on the electromagnetic fusion intensity retrospective data set to find the electromagnetic intensity value with the highest frequency in the data set and generate the first fused electromagnetic intensity. Mode analysis is a statistical method used to determine the value that appears most frequently in a data set. The first fused electromagnetic intensity is obtained by analyzing the distribution information of power equipment. By extracting the key electromagnetic distribution intensity data around the operating table, the electromagnetic interference to the operating table can be more accurately evaluated, so that corresponding measures can be taken to reduce interference.

[0043] Furthermore, step five of this application includes: Collect an operating table electromagnetic interference test data set, wherein the operating table electromagnetic interference test data set includes a test electromagnetic intensity data set, a power supply control parameter test data set, and a power supply parameter fluctuation record interval data set; construct an interference analysis loss function: ; in, Characterizes the interference analysis loss value for each Y training, Characterizes the length of the intersection interval of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training, The length of the union of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training is represented, and Q represents the number of power supply parameter attributes; according to the interference analysis loss function, the electromagnetic interference analysis network is trained in combination with the test electromagnetic intensity data set, the power supply control parameter test data set and the power supply parameter fluctuation record interval data set.

[0044] Specifically, the electromagnetic interference test data set of the operating table is collected, including the test electromagnetic intensity data set, the power supply control parameter test data set and the power supply parameter fluctuation recording interval data set. Among them, by arranging electromagnetic intensity detection equipment around the operating table, the test electromagnetic intensity data set is collected, which includes the electromagnetic intensity measurement of the operating table at different positions and time points; different power supply control parameters are set in the power supply system of the operating table, and the power supply control parameter test data set is collected, including the operating table power supply voltage, current, frequency and other parameters, as well as the changes of these parameters over time; the power supply parameter fluctuation recording interval data set includes the fluctuation values ​​of the operating table power supply voltage, current, frequency and other parameters, as well as the changes of these fluctuation values ​​over time.

[0045] In order to quantify the accuracy of power supply parameter prediction, it is necessary to construct a interference analysis loss function: ;in, It represents the interference analysis loss value of each Y training, Y represents the number of trainings, Q represents the number of power supply parameter attributes, and each power supply parameter attribute corresponds to a prediction interval and a fluctuation recording interval. It represents the length of the intersection of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training, reflecting the overlapping part of the power supply parameter prediction and fluctuation record; The length of the union interval of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training reflects the full coverage of the power supply parameter prediction and fluctuation record. The smaller the value, the higher the match between the power supply parameter prediction and the fluctuation record, that is, the more accurate the predicted power supply parameters are.

[0046] The collected test electromagnetic intensity data set, power supply control parameter test data set and power supply parameter fluctuation record interval data set are preprocessed to select a suitable neural network architecture, such as a convolutional neural network, a recurrent neural network or a deep neural network. The interference analysis loss function is used as the loss function of the network, and a suitable optimizer, such as gradient descent and random gradient descent, is selected to adjust the weight of the network. The electromagnetic interference analysis network is trained using the preprocessed data set. Through iterative training, the network will continuously adjust the weights to minimize the loss function. During the training process, different hyperparameters such as learning rate, batch size and number of training rounds can be set to optimize network performance. An electromagnetic interference analysis network is trained, which can predict the electromagnetic interference around the operating table based on the input test electromagnetic intensity data set, power supply control parameter test data set and power supply parameter fluctuation record interval data set, and optimize the power supply control parameters to reduce the interference effect.

[0047] Analyze the deviation between the actual fluctuation range and the preset fluctuation range. The actual fluctuation range refers to the fluctuation range of power supply parameters predicted by the network, while the preset fluctuation range is the ideal fluctuation range set according to the power supply demand during the actual operation. Set this deviation as the power supply state fluctuation coefficient of the first operating table, which reflects the degree of deviation between the power supply system in actual operation and the ideal state, and is used to evaluate the stability of the power supply state. By training the electromagnetic interference analysis network, the prediction accuracy of the electromagnetic interference situation in the operating room can be improved.

[0048] In summary, the high-precision power supply control method for an operating table provided in this application has the following technical effects: By obtaining a list of interfering power equipment and power equipment distribution information, wherein the interfering power equipment refers to non-operating table power equipment in the operating room; traversing the interfering power equipment list to perform electromagnetic interference analysis, and generating a list of electromagnetic intensity distribution donut charts; performing magnetic field distribution according to the power equipment distribution information and in combination with the electromagnetic intensity distribution donut chart list, obtaining the first fused electromagnetic intensity of the distribution position of the operating table; obtaining the operating table power supply control parameters; performing interference analysis on the operating table power supply control parameters according to the first fused electromagnetic intensity, and obtaining the first operating table power supply state fluctuation coefficient; when the first operating table power supply state fluctuation coefficient is less than or equal to the power supply state fluctuation coefficient threshold, performing operating table power supply control according to the operating table power supply control parameters. In other words, by analyzing and controlling the interference of other power equipment on the operating table power supply, reducing power fluctuations caused by electromagnetic interference, and achieving the technical effect of improving power supply stability.

[0049] Embodiment 2 Based on the inventive concept of a high-precision power supply control method for an operating table in the aforementioned embodiment, the present application also provides an electronic device, comprising: at least one processor; a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of any one of the methods described in the aforementioned embodiment one.

[0050] Attached Figure 2 This is a schematic diagram of the structure of an exemplary electronic device of this application. Figure 2 In the embodiment, the bus architecture is represented by bus 300, which may include any number of interconnected buses and bridges, and bus 300 connects various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0051] Embodiment 3 Based on the same inventive concept as the high-precision power supply control method for an operating table in the aforementioned embodiment, the present application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program implements the steps of any one of the method described in the above embodiment one when executed.

[0052] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0053] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A high-precision power supply control method for an operating table, characterized in that: include: Obtain a list of interfering power equipment and power equipment distribution information, where the interfering power equipment refers to non-operating table power equipment in the operating room; Traversing the interfering power equipment list to perform electromagnetic interference analysis and generate an electromagnetic intensity distribution donut chart list; According to the power equipment distribution information, the magnetic field distribution is performed in combination with the electromagnetic intensity distribution donut chart list to obtain the first fused electromagnetic intensity of the distribution position of the operating table; Obtain operating table power supply control parameters; Performing interference analysis on the operating table power supply control parameters according to the first fused electromagnetic intensity to obtain a power supply state fluctuation coefficient of the first operating table; When the first operating table power supply state fluctuation coefficient is less than or equal to the power supply state fluctuation coefficient threshold, the operating table power supply is controlled according to the operating table power supply control parameters.

2. A high-precision power supply control method for an operating table as claimed in claim 1, characterized in that: Also includes: When the power supply state fluctuation coefficient of the first operating table is greater than the power supply state fluctuation coefficient threshold, performing layout optimization on the list of interfering power equipment to obtain a device layout optimization result; Based on the equipment layout optimization result and the electromagnetic intensity distribution donut chart list, the magnetic field distribution is performed to obtain the second fused electromagnetic intensity at the distribution position of the operating table; Performing interference analysis on the operating table power supply control parameters according to the second fused electromagnetic intensity to obtain a power supply state fluctuation coefficient of the second operating table; When the power supply status fluctuation coefficient of the second operating table is less than or equal to the power supply status fluctuation coefficient threshold, the power supply of the operating table is controlled according to the power supply control parameters of the operating table and the equipment layout optimization result.

3. A high-precision power supply control method for an operating table as claimed in claim 2, characterized in that: Also includes: When the power supply status fluctuation coefficient of the second operating table is greater than the power supply status fluctuation coefficient threshold, an operating table power supply danger signal is generated and sent to the user end.

4. A high-precision power supply control method for an operating table as claimed in claim 1, characterized in that: Traversing the interfering power equipment list to perform electromagnetic interference analysis, and generating an electromagnetic intensity distribution donut chart list, including: Extracting a first interfering power device according to the interfering power device list; Obtaining an electric device model and an interfering power supply state of the first interfering electric device, wherein the interfering power supply state is a preset power supply state of the first interfering electric device; Taking the interference power supply state and the power equipment model as constraints, collecting electromagnetic intensity monitoring logs, wherein the electromagnetic intensity monitoring logs are a plurality of electromagnetic intensity distribution record sequences; Probabilistically reconstructing the plurality of electromagnetic intensity distribution record sequences to generate an electromagnetic intensity distribution reconstruction sequence, wherein the electromagnetic intensity distribution reconstruction sequence has a distribution distance label sequence, and the distribution distance label refers to the distribution distance between the electromagnetic intensity and the first interfering power device; A first electromagnetic intensity distribution donut chart is constructed according to the electromagnetic intensity distribution reconstruction sequence and the distribution distance label sequence, and is added to the electromagnetic intensity distribution donut chart list.

5. A high-precision power supply control method for an operating table as claimed in claim 4, characterized in that: Probabilistically reconstructing the plurality of electromagnetic intensity distribution record sequences to generate an electromagnetic intensity distribution reconstruction sequence, including: Extracting the first distance electromagnetic intensity set, the second distance electromagnetic intensity set, and up to the Nth distance electromagnetic intensity set of the plurality of electromagnetic intensity distribution record sequences; Traversing the first distance electromagnetic intensity set, the second distance electromagnetic intensity set, and up to the Nth distance electromagnetic intensity set to perform a central trend analysis, and generate a first distance characteristic electromagnetic intensity, a second distance characteristic electromagnetic intensity, and up to the Nth distance characteristic electromagnetic intensity; According to the electromagnetic intensity deviation threshold, a neighborhood hierarchical clustering analysis is performed on the first distance characteristic electromagnetic intensity, the second distance characteristic electromagnetic intensity, and up to the Nth distance characteristic electromagnetic intensity to generate a first reconstructed distance characteristic electromagnetic intensity, a second reconstructed distance characteristic electromagnetic intensity, and up to the Mth reconstructed distance characteristic electromagnetic intensity; Constructing the electromagnetic intensity distribution reconstruction sequence according to the first reconstructed distance characteristic electromagnetic intensity, the second reconstructed distance characteristic electromagnetic intensity, and up to the Mth reconstructed distance characteristic electromagnetic intensity; The distribution distance label sequence is constructed according to the first reconstruction distance, the second reconstruction distance, and up to the Mth reconstruction distance.

6. A high-precision power supply control method for an operating table as claimed in claim 1, characterized in that: According to the power equipment distribution information, the magnetic field distribution is performed in combination with the electromagnetic intensity distribution donut chart list to obtain the first fused electromagnetic intensity of the distribution position of the operating table, including: According to the power equipment distribution information, the electromagnetic intensity distribution circular diagram list is matched with the center of the circle to obtain an electromagnetic intensity distribution state list; According to the distribution positions of the operating tables, traverse the electromagnetic intensity distribution state list to extract a number of electromagnetic distribution intensities; Performing historical state backtracking according to the plurality of electromagnetic distribution intensities to obtain an electromagnetic fusion intensity backtracking data set; Performing mode analysis on the electromagnetic fusion intensity retrospective data set to generate the first fusion electromagnetic intensity.

7. A high-precision power supply control method for an operating table as claimed in claim 1, characterized in that: Performing interference analysis on the operating table power supply control parameter according to the first fused electromagnetic intensity to obtain the first operating table power supply state fluctuation coefficient includes: Collecting an operating table electromagnetic interference test data set, wherein the operating table electromagnetic interference test data set includes a test electromagnetic intensity data set, a power supply control parameter test data set, and a power supply parameter fluctuation record interval data set; Construct the interference analysis loss function: ； in, Characterizes the interference analysis loss value for each Y training, Characterizes the length of the intersection interval of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training, represents the length of the union of the k-th attribute power supply parameter prediction interval and the k-th attribute power supply parameter fluctuation record interval of the j-th training, Q represents the number of power supply parameter attributes; According to the interference analysis loss function, the electromagnetic interference analysis network is trained in combination with the test electromagnetic intensity data set, the power supply control parameter test data set and the power supply parameter fluctuation record interval data set.

8. An electronic device, comprising: at least one processor; a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps of a high-precision power supply control method for an operating table as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed, the steps of the high-precision power supply control method for an operating table described in any one of claims 1 to 7 are implemented.

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