Intelligent micro-grid concentrator collaborative acquisition method and system based on source grid load storage

Abstract

The invention relates to the technical field of power distribution automation, and particularly discloses an intelligent micro-grid concentrator collaborative acquisition method and system based on source network load storage, and the method comprises the steps: obtaining an intelligent micro-grid concentrator, marking the intelligent micro-grid concentrator as each target concentrator, and collecting the communication data and position environment data of each target concentrator; processing the communication data to obtain a communication quality evaluation index of each target concentrator, processing the position environment data to obtain an environment interference value of each target concentrator, and performing comprehensive analysis to obtain a comprehensive performance evaluation value of each target concentrator; and performing channel matching on each target concentrator according to the comprehensive performance evaluation value. According to the intelligent micro-grid concentrator collaborative collection method and system based on the source network load storage, the performance bottleneck can be accurately recognized, a direction is provided for subsequent optimization, system resources can be reasonably distributed, the resource utilization rate and the overall performance are improved, meanwhile, an operation strategy can be adjusted and optimized, and the system operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution automation, and in particular to a collaborative data collection method and system for an intelligent microgrid concentrator based on source, grid, load and storage. Background Art

[0002] At present, collaborative data collection of smart microgrid concentrators is a very important part of the field of distribution automation technology. With the advancement of technology and the growth of market demand, providing more refined collaborative data collection methods for smart microgrid concentrators has become the norm. An efficient and accurate collaborative data collection system for smart microgrid concentrators is of great significance for improving the utilization efficiency of concentrators and data collection efficiency.

[0003] For example, the invention patent with announcement number CN117675591B is a topological network identification method, a meter reading method and a concentrator for a distribution station area. The meter reading method includes: obtaining a terminal meter list of terminal meters to be read in the distribution station area; if there are terminal meters to be read for the first time in the terminal meter list, the topological network identification method of the distribution station area is used to identify the topological network of the distribution station area, and during the identification, the meter data of the corresponding terminal meter is attached to the reply message replied by each target node, so as to realize the meter reading of each terminal meter to be read while obtaining the topological network of the distribution station area; if each terminal meter to be read in the terminal meter list is not the first meter reading, the topological network obtained by the last identification is obtained, and based on the target address of the node where each terminal meter in the topological network is located, a meter data acquisition request is sent to each terminal meter to be read in turn to obtain the meter data of each terminal meter to be read.

[0004] For example, the invention patent with announcement number CN115361276B is a 5G communication unit and communication method that is compatible with distribution automation terminals of multiple manufacturers, including: an FTU main control board and a remote communication unit; a DC-DC module receives a DC24V power supply to power the internal components of the remote communication module; the main control MCU is connected to the FTU main control board through a serial port; the main control MCU is connected to the 5G module through a communication interface; the main control MCU receives the AT command sent by the FTU main control board, and compares it with the preset communication mode of the 5G module to determine whether it is a communication mode supported by the 5G module; if so, the AT command is sent to the communication module, and reported to the power grid management and control platform through the communication module.

[0005] However, in the process of implementing the technical solution of the present invention, it was found that the above technology has at least the following technical problems: at present, the area of ​​the distribution room is large, and the distribution of wireless power information collection instruments exceeds the signal coverage range of a single wireless gateway. When multiple gateways collect data in the same signal network, they will interfere with each other, and the data collection quality is difficult to guarantee. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a collaborative data collection method and system for an intelligent microgrid concentrator based on source, grid, load and storage, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a collaborative collection method for smart microgrid concentrators based on source, grid, load and storage, including: obtaining smart microgrid concentrators, marking them as target concentrators, and collecting communication data and location environment data of each target concentrator.

[0008] The communication data is processed to obtain the communication quality evaluation index of each target concentrator, the location environment data is processed to obtain the environmental interference value of each target concentrator, and the comprehensive performance evaluation value of each target concentrator is obtained through comprehensive analysis.

[0009] Channel matching is performed on each target concentrator according to the comprehensive performance evaluation value of each target concentrator.

[0010] As a further method, the communication data is processed to obtain the communication quality evaluation index of each target concentrator, and the specific processing process is: the communication data includes signal strength, data transmission bit error rate and communication interruption frequency.

[0011] The critical signal strength, critical data transmission error rate and critical communication interruption frequency are extracted from the source-grid-load-storage database, and the communication quality evaluation index of each target concentrator is obtained through comprehensive analysis.

[0012] As a further method, the location environment data is processed to obtain the environmental interference value of each target concentrator. The specific processing process is: the location environment data includes the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators.

[0013] The critical number of obstacles, critical electromagnetic interference intensity and critical adjacent concentrator spacing are extracted from the source-grid-load-storage database, and the environmental interference value of each target concentrator is obtained through comprehensive analysis. The environmental interference value of each target concentrator is used to adjust the initial working position of each target concentrator.

[0014] As a further method, the initial working position of each target concentrator is adjusted, and the specific adjustment process is: obtain each working position of each target concentrator, extract the environmental interference threshold from the source network load storage database, compare the environmental interference value of each target concentrator with the environmental interference threshold, if the environmental interference value of a target concentrator is greater than or equal to the environmental interference threshold, then sort the environmental interference values ​​of each working position of the target concentrator, mark the working mark position with the smallest environmental interference value as the update position, if the environmental interference value of a target concentrator is less than the environmental interference threshold, no additional operation is performed.

[0015] As a further method, the comprehensive analysis obtains a comprehensive performance evaluation value of each target concentrator. The specific analysis process is: based on the communication quality evaluation index and environmental interference value of each target concentrator, a comprehensive analysis is performed to obtain a comprehensive performance evaluation value of each target concentrator. The comprehensive performance evaluation value of each target concentrator is used to quantify the comprehensive performance of each target concentrator.

[0016] As a further method, channel matching is performed on each target concentrator according to the comprehensive performance evaluation value of each target concentrator. The specific matching process is: the working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator to obtain each unstable concentrator.

[0017] The transmission load of each unstable concentrator is obtained, and the unstable concentrators are sorted according to the transmission load to obtain a priority sequence for allocating channels.

[0018] Unoccupied channels are obtained and marked as target channels, quality data of each target channel is collected, and the quality data of each target channel is processed to obtain an anti-interference performance evaluation value of each target channel.

[0019] The target channels are sorted according to the anti-interference performance evaluation values ​​of the target channels to obtain a target channel allocation sequence.

[0020] Channel allocation is performed according to the unstable concentrator allocation channel priority sequence and the target channel allocation sequence.

[0021] As a further method, the working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator. The specific evaluation process is: extracting the comprehensive performance evaluation threshold from the source network load storage database, comparing the comprehensive performance evaluation value of each target concentrator with the comprehensive performance evaluation threshold, if the comprehensive performance evaluation value of a target concentrator is greater than or equal to the comprehensive performance evaluation threshold, no additional operation is performed, if the comprehensive performance evaluation value of a target concentrator is less than the comprehensive performance evaluation threshold, the target concentrator is marked as an unstable concentrator.

[0022] As a further method, the quality data of each target channel is processed to obtain an anti-interference performance evaluation value of each target channel. The specific processing process is: the quality data of each target channel includes the channel historical average rate, channel capacity and channel historical average bit error rate.

[0023] The critical channel rate, critical channel capacity and critical channel bit error rate are extracted from the source network load storage database, and the anti-interference performance evaluation value of each target channel is obtained through comprehensive analysis.

[0024] As a further method, the comprehensive performance evaluation value of each target concentrator is specifically expressed as:

[0025] in, represents the comprehensive performance evaluation value of the i-th target concentrator, represents the communication quality evaluation index of the i-th target concentrator, represents the adjusted environmental interference value of the i-th target concentrator, Indicates the comprehensive performance evaluation impact factor corresponding to the set communication quality evaluation index, It represents the comprehensive performance evaluation impact factor corresponding to the set environmental interference value, i represents the number of each target concentrator, i=1,2,3,...,m, and m represents the total number of target concentrators.

[0026] The second aspect of the present invention provides a smart microgrid concentrator collaborative data collection system based on source, grid, load and storage, including: a data collection module for acquiring smart microgrid concentrators, marking them as target concentrators, and collecting communication data and location environment data of each target concentrator.

[0027] The concentrator comprehensive performance analysis module is used to process the communication data to obtain the communication quality evaluation index of each target concentrator, process the location environment data to obtain the environmental interference value of each target concentrator, and comprehensively analyze to obtain the comprehensive performance evaluation value of each target concentrator.

[0028] The channel matching module is used to perform channel matching on each target concentrator according to the comprehensive performance evaluation value of each target concentrator.

[0029] The source-grid-load-storage database is used to store source-grid-load-storage related data, including: critical signal strength, critical data transmission bit error rate, critical communication interruption frequency, critical number of obstacles, critical electromagnetic interference intensity, critical adjacent concentrator spacing, comprehensive performance evaluation influencing factor corresponding to the set communication quality evaluation index, comprehensive performance evaluation influencing factor corresponding to the set environmental interference value, critical channel rate, critical channel capacity, critical channel bit error rate, environmental interference threshold and comprehensive performance evaluation threshold.

[0030] Compared with the prior art, the present invention has at least the following advantages or beneficial effects: (1) The present invention can accurately identify performance bottlenecks, provide directions for subsequent optimization, and help to reasonably allocate system resources to improve resource utilization and overall performance. It can also promptly discover and solve potential system problems, thereby improving system stability and reliability. At the same time, it can adjust and optimize operation strategies to improve system operation efficiency.

[0031] (2) The present invention can clarify the communication status of each concentrator by evaluating the communication quality evaluation index of each target concentrator, so as to reasonably allocate communication resources according to actual needs, and can timely discover potential communication failure points, which helps to take preventive measures in advance to avoid the occurrence of communication failures, and further ensure the continuity and integrity of data.

[0032] (3) The present invention can identify the interference source and interference degree in the channel by evaluating the anti-interference performance evaluation value of each target channel, so as to take corresponding anti-interference measures. It can also timely discover and deal with potential interference problems, thereby enhancing the stability of the communication system. According to the anti-interference performance evaluation results of each channel, resource allocation can be dynamically adjusted to achieve optimal resource configuration. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0034] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0035] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0036] Figure 3 It is a schematic diagram of the functional relationship between the comprehensive performance evaluation value of each target concentrator and the communication quality evaluation index of each target concentrator in the present invention.

[0037] Figure 4 This is a distribution diagram of the concentrators of the present invention.

[0038] Figure 5 This is a concentrator channel flow chart of the present invention. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0040] Reference Figure 1 As shown, the first aspect of the present invention provides a collaborative collection method for smart microgrid concentrators based on source, grid, load and storage, including: acquiring smart microgrid concentrators, marking them as target concentrators, and collecting communication data and location environment data of each target concentrator.

[0041] The communication data is processed to obtain the communication quality evaluation index of each target concentrator, the location environment data is processed to obtain the environmental interference value of each target concentrator, and the comprehensive performance evaluation value of each target concentrator is obtained through comprehensive analysis.

[0042] Channel matching is performed on each target concentrator according to the comprehensive performance evaluation value of each target concentrator.

[0043] Specifically, the communication data is processed to obtain the communication quality evaluation index of each target concentrator, and the specific processing process is: the communication data includes signal strength, data transmission bit error rate and communication interruption frequency.

[0044] The critical signal strength, critical data transmission error rate and critical communication interruption frequency are extracted from the source-grid-load-storage database, and the communication quality evaluation index of each target concentrator is obtained through comprehensive analysis.

[0045] In a specific embodiment, signal strength is an indicator of the power of a wireless signal received at a specific location. By monitoring and optimizing signal strength, communication failures caused by weak signals can be reduced, and can be measured by a signal strength tester; data transmission bit error rate refers to the ratio of the number of erroneous bits received by the receiving end due to various reasons to the total number of bits during data transmission. Reducing the data transmission bit error rate can reduce errors in the data transmission process, thereby improving the accuracy of communication, and can be obtained by a bit error rate tester; communication interruption frequency refers to the number of times a communication connection is interrupted due to signal loss, equipment failure or network problems within a certain period of time. Reducing the communication interruption frequency can ensure continuous data transmission and avoid data loss or delay due to communication interruption, and can be obtained through a network monitoring tool.

[0046] Specifically, the communication quality evaluation index of each target concentrator is expressed as follows:

[0047] in, represents the communication quality evaluation index of the i-th target concentrator, represents the signal strength of the i-th target concentrator, represents the critical signal strength, represents the data transmission bit error rate of the i-th target concentrator, represents the critical data transmission bit error rate, represents the communication interruption frequency of the i-th target concentrator, Indicates the critical communication interruption frequency, Indicates the communication quality assessment impact factor corresponding to the set signal strength, Indicates the communication quality assessment impact factor corresponding to the set data transmission bit error rate, It represents the communication quality assessment impact factor corresponding to the set communication interruption frequency, i represents the number of each target concentrator, i=1,2,3,...,m, and m represents the total number of target concentrators.

[0048] The algorithm of this embodiment combines signal strength, data transmission bit error rate and communication interruption frequency, and comprehensively analyzes to obtain the communication quality evaluation index of each target concentrator. When the signal strength is weak, the concentrator may be subject to more interference and noise in the process of receiving and sending data, thereby increasing the bit error rate of data transmission; signal strength also affects the frequency of communication interruption. When the signal strength is lower than a certain threshold, the concentrator may not be able to establish a stable communication connection with the master station or other devices, resulting in communication interruption; an increase in the data transmission bit error rate will also indirectly lead to an increase in the frequency of communication interruption. When the bit error rate is too high during data transmission, the concentrator may not be able to correctly parse the received data, resulting in communication failure or interruption. In addition, the increase in the bit error rate may also cause data transmission delays and retransmissions, further increasing the risk of communication interruption. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth communication quality evaluation index.

[0049] It should be explained that this embodiment takes into account three key factors, namely, the signal strength of each target concentrator, the data transmission bit error rate, and the communication interruption frequency. This can comprehensively optimize the communication system of the power distribution room, improve the overall stability of the system, help ensure that the power distribution room can maintain normal operation at critical moments, avoid failures or accidents caused by communication problems, ensure the accuracy of the data, and help the power distribution room to perform real-time data analysis and processing, thereby improving the availability of data. By standardizing the signal strength, data transmission bit error rate, and communication interruption frequency of each target concentrator, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved, and at the same time , and The setting of helps to avoid data loss and system paralysis caused by weak signals, bit errors and communication interruptions. By weighting the influence of the signal strength, data transmission bit error rate and communication interruption frequency of each target concentrator, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the formula very adaptable. It is not difficult to see that the greater the signal strength or the smaller the data transmission bit error rate or the smaller the communication interruption frequency, the greater the communication quality evaluation index. By evaluating the communication quality evaluation index of each target concentrator, the communication status of each concentrator can be clarified, so that communication resources can be reasonably allocated according to actual needs, potential communication failure points can be discovered in time, which helps to take preventive measures in advance to avoid the occurrence of communication failures, and can also reduce the waiting time of data packets during transmission, thereby improving the real-time performance of data transmission, helping to avoid waste of resources, improving the overall resource utilization of the communication system, and further ensuring the continuity and integrity of data.

[0050] In a specific embodiment, the communication quality assessment influencing factors corresponding to signal strength, data transmission bit error rate and communication interruption frequency have a value range of 0 to 1, which represents the numerical value of the influence of signal strength, data transmission bit error rate and communication interruption frequency on the communication quality assessment index. Each communication quality assessment influencing factor can be obtained from the source network load storage database. By adjusting the value of the influencing factor, the influence of different factors on the final communication quality assessment index can be flexibly adjusted. For example, in this embodiment, a mapping set of communication quality assessment influencing factors corresponding to signal strength, data transmission bit error rate and communication interruption frequency is constructed through the relationship between the signal strength, data transmission bit error rate and communication interruption frequency in historical data and the communication quality assessment index. The real-time signal strength, data transmission bit error rate and communication interruption frequency are input, and the corresponding communication quality assessment influencing factors are obtained from the mapping set.

[0051] Specifically, the location environment data is processed to obtain the environmental interference value of each target concentrator, and the specific processing process is: the location environment data includes the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators.

[0052] The critical number of obstacles, critical electromagnetic interference intensity and critical adjacent concentrator spacing are extracted from the source-grid-load-storage database, and the environmental interference value of each target concentrator is obtained through comprehensive analysis. The environmental interference value of each target concentrator is used to adjust the initial working position of each target concentrator.

[0053] In a specific embodiment, the number of obstacles refers to the number of obstacles within the transmission distance of the wireless signal, which can be obtained through statistics. By controlling the number of obstacles, the attenuation and reflection of electromagnetic waves during the propagation process can be reduced, thereby reducing the risk of communication errors and data loss; the electromagnetic interference intensity refers to the degree of interference caused by electromagnetic radiation generated by other electrical equipment or lines in the distribution room to the target concentrator. Electromagnetic interference is one of the important factors affecting the quality of communication and data transmission. By reasonable layout and taking measures to reduce the electromagnetic interference intensity, the stable transmission of the signal can be ensured, the bit error rate and data transmission failure can be reduced, and it can be measured by an electromagnetic field measuring instrument; the distance between adjacent concentrators refers to the distance between the concentrator and the nearest adjacent concentrator. By controlling the distance between adjacent concentrators, mutual interference can be reduced to ensure that each concentrator can work normally and receive clear signals, which can be measured by a rangefinder.

[0054] Furthermore, the specific numerical expression of the environmental interference value of each target concentrator is:

[0055] in, represents the environmental interference value of the i-th target concentrator, e represents a natural constant, represents the number of obstacles of the i-th target concentrator, represents the number of critical obstacles, represents the electromagnetic interference intensity of the i-th target concentrator, Indicates the critical electromagnetic interference intensity, represents the distance between neighboring concentrators of the i-th target concentrator, represents the critical adjacent concentrator spacing, Indicates the environmental interference value impact factor corresponding to the set number of obstacles, Indicates the environmental interference value impact factor corresponding to the set electromagnetic interference intensity. It represents the environmental interference value impact factor corresponding to the set adjacent concentrator spacing, i represents the number of each target concentrator, i=1,2,3,...,m, and m represents the total number of target concentrators.

[0056] The algorithm of this embodiment combines the number of obstacles, the electromagnetic interference intensity and the distance between adjacent concentrators, and comprehensively analyzes to obtain the environmental interference value of each target concentrator. The more obstacles there are, the more complicated the propagation path of the electromagnetic wave will become, which is easy to cause multipath effects and signal reflections, thereby causing signal quality to deteriorate and increasing the intensity of electromagnetic interference; increasing the distance between adjacent concentrators can reduce the electromagnetic interference between them, because as the distance increases, the attenuation of the electromagnetic wave during the propagation process will also increase, thereby reducing the intensity of mutual interference. Comprehensive analysis can obtain a more comprehensive environmental interference value.

[0057] Table 1 Example of environmental interference value data for each target concentrator

[0058] As shown in Table 1, the environmental interference value of each target concentrator is jointly determined by the number of obstacles, the electromagnetic interference intensity and the distance between adjacent concentrators. In a specific embodiment, the critical number of obstacles is 5, the critical electromagnetic interference intensity is 10V / m, the critical distance between adjacent concentrators is 8m, the environmental interference value impact factor corresponding to the set number of obstacles is 0.3, the environmental interference value impact factor corresponding to the set electromagnetic interference intensity is 0.3, and the environmental interference value impact factor corresponding to the set distance between adjacent concentrators is 0.4. This formula takes into account three key factors, namely the number of obstacles, electromagnetic interference intensity and distance between adjacent concentrators of each target concentrator, which helps to reduce the mutual influence between devices, improve the stability of the overall system, reduce the risk of safety accidents such as fire and electric shock, reduce safety hazards, and reasonably plan the spatial layout of the distribution room, make full use of space resources, reduce unnecessary waste, help keep the communication path unobstructed, improve communication efficiency, and maintain data consistency and integrity, and improve the reliability of data transmission. By standardizing the number of obstacles, electromagnetic interference intensity and distance between adjacent concentrators of each target concentrator, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved, and at the same time , and The setting helps to avoid equipment failure or performance degradation caused by too many obstacles, too strong electromagnetic interference and too close spacing. By weighting the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators of each target concentrator, their relative importance in the evaluation index can be reflected. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the greater the number of obstacles, the greater the electromagnetic interference intensity or the smaller the distance between adjacent concentrators, the greater the environmental interference value. By evaluating the environmental interference value of each target concentrator, potential interference sources can be discovered and handled in a timely manner, which helps to ensure that the system can operate stably under various environmental conditions, avoid communication failures or data loss caused by interference, and optimize resource allocation in distribution rooms and similar environments. By understanding the environmental interference conditions in different areas, the layout and configuration of equipment can be reasonably planned to reduce interference and improve resource utilization. Targeted maintenance suggestions can also be provided to operation and maintenance personnel to help them better understand the operating status of the equipment and perform preventive maintenance.

[0059] In a specific embodiment, the value range of the environmental interference value influencing factor corresponding to the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators is between 0 and 1, which represents the numerical value of the influence degree of the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators on the environmental interference value. Each environmental interference value influencing factor can be obtained from the source-grid-load-storage database. By adjusting the value of the influencing factor, the influence degree of different factors on the final environmental interference value can be flexibly adjusted. For example, in this embodiment, a mapping set of environmental interference value influencing factors corresponding to the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators and the environmental interference value is constructed through the relationship between the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators in historical data, and the real-time number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators are input to obtain the corresponding environmental interference value influencing factor from the mapping set.

[0060] In a specific embodiment, the initial working position of each target concentrator is adjusted, and the specific adjustment process is: obtain each working position of each target concentrator, extract the environmental interference threshold from the source network load storage database, compare the environmental interference value of each target concentrator with the environmental interference threshold, if the environmental interference value of a target concentrator is greater than or equal to the environmental interference threshold, then sort the environmental interference values ​​of each working position of the target concentrator, mark the working position with the smallest environmental interference value as the update position, and mark the environmental interference value of the update position as the adjusted environmental interference value, if the environmental interference value of a target concentrator is less than the environmental interference threshold, no additional operation is performed.

[0061] Specifically, a comprehensive performance evaluation value of each target concentrator is obtained through comprehensive analysis. The specific analysis process is as follows: according to the communication quality evaluation index and the environmental interference value of each target concentrator, a comprehensive performance evaluation value of each target concentrator is obtained through comprehensive analysis. The comprehensive performance evaluation value of each target concentrator is used to quantify the comprehensive performance of each target concentrator.

[0062] Furthermore, the comprehensive performance evaluation value of each target concentrator is expressed as follows:

[0063] in, represents the comprehensive performance evaluation value of the i-th target concentrator, represents the communication quality evaluation index of the i-th target concentrator, represents the adjusted environmental interference value of the i-th target concentrator, Indicates the comprehensive performance evaluation impact factor corresponding to the set communication quality evaluation index, It represents the comprehensive performance evaluation impact factor corresponding to the set environmental interference value, i represents the number of each target concentrator, i=1,2,3,...,m, and m represents the total number of target concentrators.

[0064] like Figure 3 As shown, in a specific embodiment, =0.4, =0.3. =0.1, the functional relationship between the comprehensive performance evaluation value of each target concentrator and the communication quality evaluation index of each target concentrator is shown in curve a; when =0.5, the functional relationship between the comprehensive performance evaluation value of each target concentrator and the communication quality evaluation index of each target concentrator is shown in curve b; when =1, the functional relationship between the comprehensive performance evaluation value of each target concentrator and the communication quality evaluation index of each target concentrator is shown as curve c.

[0065] The algorithm of this embodiment combines the communication quality evaluation index and the environmental interference value of each target concentrator, and comprehensively analyzes to obtain the comprehensive performance evaluation value of each target concentrator. In general, the larger the environmental interference value, the lower the communication quality evaluation index, because the environmental interference will directly affect the transmission quality and stability of the communication signal. For example, when the electromagnetic interference intensity increases, the bit error rate of the communication signal will increase and the data transmission rate will decrease, thereby causing the communication quality evaluation index to decrease. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth comprehensive performance evaluation value.

[0066] It should be explained that in this embodiment, two key factors, namely, the communication quality evaluation index and the environmental interference value of each target concentrator, are considered, and network resources, such as spectrum resources, channel resources, etc., can be reasonably allocated to improve resource utilization efficiency, and in areas with poor communication quality or large interference, redundant equipment can be added or communication parameters can be adjusted to ensure the stability and reliability of data transmission, and at the same time, it is helpful to timely discover and deal with potential communication problems, avoid downtime and maintenance costs caused by equipment failure or network bottlenecks, and reduce the probability of communication interruption and failure. It can also help design a more robust communication system that can cope with various complex environments and emergencies, help improve the robustness of the system, and ensure that stable communication performance can be maintained under harsh conditions. By weighting the influence of the communication quality evaluation index and the environmental interference value of each target concentrator, it reflects their relative importance in the evaluation index, and the weights of different factors can be adjusted according to different needs, so that the formula has good adaptability. It is not difficult to see that the larger the communication quality evaluation index or the smaller the environmental interference value, the greater the comprehensive performance evaluation value of each target concentrator. By evaluating the comprehensive performance evaluation value of each target concentrator, performance bottlenecks can be accurately identified, providing direction for subsequent optimization, helping to reasonably allocate system resources to improve resource utilization and overall performance, and timely discovering and solving potential system problems, thereby improving system stability and reliability. At the same time, operational strategies can be adjusted and optimized to improve system operational efficiency and benefits.

[0067] In a specific embodiment, the value range of the comprehensive performance evaluation influencing factor corresponding to the communication quality evaluation index and the environmental interference value is between 0 and 1, which represents the numerical value of the influence degree of the communication quality evaluation index and the environmental interference value on the comprehensive performance evaluation value of each target channel. Each comprehensive performance evaluation influencing factor can be obtained from the source network load storage database. By adjusting the value of the influencing factor, the influence degree of different factors on the final comprehensive performance evaluation value can be flexibly adjusted. For example, in this embodiment, the relationship between the communication quality evaluation index and the environmental interference value in the historical data and the comprehensive performance evaluation value is used to construct a mapping set of the comprehensive performance evaluation influencing factors corresponding to the communication quality evaluation index and the environmental interference value, and the real-time communication quality evaluation index and the environmental interference value are input to obtain the corresponding comprehensive performance evaluation influencing factor from the mapping set.

[0068] In a specific embodiment, channel matching is performed on each target concentrator according to the comprehensive performance evaluation value of each target concentrator. The specific matching process is: the working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator to obtain each unstable concentrator.

[0069] The transmission load of each unstable concentrator is obtained, and the transmission loads are sorted according to the transmission loads, that is, the transmission loads are sorted in order from large to small, so as to obtain a priority sequence for allocating channels to the unstable concentrators.

[0070] Unoccupied channels are obtained and marked as target channels, quality data of each target channel is collected, and the quality data of each target channel is processed to obtain an anti-interference performance evaluation value of each target channel.

[0071] The target channels are sorted according to the anti-interference performance evaluation values ​​of the target channels to obtain a target channel allocation sequence.

[0072] Channel allocation is performed according to the unstable concentrator allocation channel priority sequence and the target channel allocation sequence.

[0073] Specifically, the working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator. The specific evaluation process is: extract the comprehensive performance evaluation threshold from the source network load storage database, compare the comprehensive performance evaluation value of each target concentrator with the comprehensive performance evaluation threshold, if the comprehensive performance evaluation value of a target concentrator is greater than or equal to the comprehensive performance evaluation threshold, no additional operation is performed, if the comprehensive performance evaluation value of a target concentrator is less than the comprehensive performance evaluation threshold, the target concentrator is marked as an unstable concentrator.

[0074] Furthermore, the quality data of each target channel is processed to obtain an anti-interference performance evaluation value of each target channel. The specific processing process is: the quality data of each target channel includes a historical average rate of the channel, a channel capacity and a historical average bit error rate of the channel.

[0075] The critical channel rate, critical channel capacity and critical channel bit error rate are extracted from the source network load storage database, and the anti-interference performance evaluation value of each target channel is obtained through comprehensive analysis.

[0076] In a specific embodiment, the channel rate, that is, the information transmission rate, is the amount of information that the channel can transmit per unit time. The historical average rate of the channel refers to the average rate at which the channel transmits data within a period of time. It can reflect the average transmission capacity of the channel within a period of time, which helps to understand the overall performance of the channel and can be obtained through a speed measurement tool with a historical record function; the channel capacity refers to the maximum amount of information that the channel can transmit without error under given conditions, which helps to improve the overall performance of the communication system and meet the user's requirements for data transmission speed and quality. It can be calculated by bandwidth×log2(1+signal-to-noise ratio), where the bandwidth can be obtained by a spectrum analyzer, and the signal-to-noise ratio is the ratio of the average power of the signal to the average power of the noise, which can be obtained by a signal analyzer and a noise meter, respectively; the channel bit error rate refers to the probability of a signal error occurring during channel transmission. The historical average bit error rate of the channel refers to the average ratio of the number of error bits to the total number of bits when the channel transmits data within a period of time. It can promptly discover problems in the transmission process and can be obtained through bit error test software.

[0077] Specifically, the anti-interference performance evaluation value of each target channel is expressed as follows:

[0078] in, represents the anti-interference performance evaluation value of the jth target channel, e represents a natural constant, represents the historical average rate of the jth target channel, represents the critical channel rate, represents the capacity of the jth target channel, represents the critical channel capacity, represents the historical average bit error rate of the j-th target channel, represents the critical channel bit error rate, Indicates the anti-interference performance evaluation impact factor corresponding to the set channel rate. Indicates the anti-interference performance evaluation impact factor corresponding to the set channel capacity, It represents the anti-interference performance evaluation influencing factor corresponding to the set channel bit error rate, j represents the number of each target channel, j=1,2,3,...,n, and n represents the total number of target channels.

[0079] The algorithm of this embodiment combines the channel historical average rate, channel capacity and channel historical average bit error rate, and comprehensively analyzes to obtain the anti-interference performance evaluation value of each target channel. Ideally, the channel historical average rate should be close to or equal to the channel capacity, which means that the channel is fully utilized. However, in practical applications, due to the influence of various factors such as noise, interference, channel characteristics, etc., the channel historical average rate is often lower than the channel capacity, and the increase in channel capacity can potentially increase the channel historical average rate; while keeping other conditions unchanged, increasing channel capacity usually helps to reduce the bit error rate, because higher capacity means more redundant information can be used for error correction; an increase in the channel historical average bit error rate will reduce the effective capacity of the channel, because erroneous data needs to be retransmitted or discarded, thereby reducing the actual available transmission rate; in some cases, an increase in the channel historical average rate will increase the channel historical average bit error rate, because a higher transmission rate may lead to a decrease in signal quality and an increase in the error rate. A more comprehensive anti-interference performance evaluation value can be obtained through comprehensive analysis.

[0080] It should be explained that this embodiment takes into account three key factors, namely the historical average rate of the channel, the channel capacity, and the historical average bit error rate of the channel. It can promptly detect the problem of channel performance degradation and make corresponding adjustments and optimizations. It can also serve as a basis for resource allocation to ensure that resources are used reasonably. It helps designers to ensure that system performance does not exceed the transmission capacity of the channel when designing the communication system, thereby avoiding performance bottlenecks. The parameters of the communication system can be optimized to improve the transmission efficiency and reliability of the system, which helps to improve user experience, reduce errors and packet loss during data transmission, and ensure the stable operation of the network. By standardizing the historical average rate of the channel, the channel capacity, and the historical average bit error rate of the channel, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved, and at the same time , and The setting of helps to avoid transmission errors and performance degradation caused by excessively high rates and transmission errors, and ensures that the system can meet the predetermined performance requirements. By weighting the influence of the channel's historical average rate, channel capacity, and channel's historical average bit error rate, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the formula highly adaptable. It is not difficult to see that the greater the channel's historical average rate, the greater the channel capacity, or the smaller the channel's historical average bit error rate, the greater the anti-interference performance evaluation value of each target channel. By evaluating the anti-interference performance evaluation value of each target channel, the interference source and interference level in the channel can be identified, so that corresponding anti-interference measures can be taken, which helps to reduce errors and packet loss during signal transmission, improve transmission efficiency, and promptly discover and handle potential interference problems, thereby enhancing the stability of the communication system, helping to ensure that the system can still operate normally in a complex environment and meet the user's communication needs. According to the anti-interference performance evaluation results of each channel, resource allocation can be dynamically adjusted, such as reducing the amount of data transmission on channels with greater interference and increasing the amount of data transmission on channels with less interference, so as to achieve optimal resource allocation.

[0081] In a specific embodiment, the value range of the anti-interference performance evaluation influencing factor corresponding to the channel historical average rate, channel capacity and channel historical average bit error rate is between 0 and 1, which represents the numerical value of the influence of the channel historical average rate, channel capacity and channel historical average bit error rate on the anti-interference performance evaluation value of each target channel. Each anti-interference performance evaluation influencing factor can be obtained from the source network load storage database. By adjusting the value of the influencing factor, the influence of different factors on the final anti-interference performance evaluation value can be flexibly adjusted. For example, in this embodiment, the relationship between the channel historical average rate, channel capacity and channel historical average bit error rate in the historical data and the anti-interference performance evaluation value is used to construct a mapping set of anti-interference performance evaluation influencing factors corresponding to the channel historical average rate, channel capacity and channel historical average bit error rate, and the real-time channel historical average rate, channel capacity and channel historical average bit error rate are input to obtain the corresponding anti-interference performance evaluation influencing factor from the mapping set.

[0082] It should be explained that, in this embodiment, the transmission loads of each unstable concentrator are arranged in order from large to small to obtain a priority sequence for allocating channels of the unstable concentrator, the anti-interference performance evaluation values ​​of each target channel are arranged in order from large to small to obtain a target channel allocation sequence, and the unstable concentrator allocation channel priority sequence and the target channel allocation sequence are matched one-to-one.

[0083] like Figure 4As shown in the figure, a single concentrator and the wireless power information collection instruments within its signal coverage are networked in a star-shaped manner. Each gateway is connected to the edge proxy server via Ethernet. Channels are uniformly allocated to each gateway on the edge proxy server. When all channels are occupied and there are new gateway applications, channel multiplexing is performed. The edge proxy service is responsible for the unified coordination and scheduling of data collection from multiple gateways. Gateways on the same channel work together in a time-division multiplexing manner to complete data collection for their respective management nodes.

[0084] like Figure 5 As shown, the specific work flow is as follows: After the wireless power information collection instrument is turned on, it sends a broadcast data packet with signal strength and its own MAC (Medium Access Control) address on the default channel; after the gateway is turned on, it receives the data packet broadcast by the wireless power information collection instrument on the same channel. Based on whether the signal strength of the received data packet is greater than the set threshold, each gateway generates an address list of the wireless power information collection instruments that it is responsible for collecting. The gateway sends a command packet to stop broadcasting to all wireless power information collection instruments in the list. The gateway notifies the edge proxy service that the preparation work is complete and data collection can begin. After the edge proxy service determines that all gateways have completed the preparation work, it allocates channels to each gateway according to the channel occupancy situation, and informs it whether it has exclusive control of the channel. The edge proxy service generates a channel occupancy table as shown in Figure 4 As shown. After receiving the notification from the edge proxy service, the gateway sends the data collection channel to the wireless power information collection instrument that it is responsible for collecting on the default channel, and informs the edge proxy service after completion. After receiving the collection channel number, the wireless power information collection instrument switches to the corresponding channel. The gateway that occupies the exclusive channel starts to collect data from the wireless power information collection instruments that it manages. The edge proxy allocates a channel to the next gateway, and the process is as above. Before each round of collection (collection of the instruments it is responsible for), the gateway that does not occupy the exclusive channel sends a request packet to the edge proxy service to request the collection time slice. The edge proxy service searches for the channel where the gateway is located and checks the channel occupancy table. If it is idle, it accepts the request, otherwise it refuses. After the request of the gateway of the non-exclusive channel is accepted, it starts to collect data one by one according to the address list of its own wireless power information collection instruments, and sends a channel release data packet to the edge proxy service after completion. After receiving the data packet of the gateway releasing the channel, the edge proxy marks the channel as idle in the channel occupancy table.

[0085] Reference Figure 2 As shown, the second aspect of the present invention provides a smart microgrid concentrator collaborative data collection system based on source, grid, load and storage, including: a data collection module for acquiring smart microgrid concentrators, marking them as target concentrators, and collecting communication data and location environment data of each target concentrator.

[0086] The concentrator comprehensive performance analysis module is used to process the communication data to obtain the communication quality evaluation index of each target concentrator, process the location environment data to obtain the environmental interference value of each target concentrator, and comprehensively analyze to obtain the comprehensive performance evaluation value of each target concentrator.

[0087] The channel matching module is used to perform channel matching on each target concentrator according to the comprehensive performance evaluation value of each target concentrator.

[0088] The source-grid-load-storage database is used to store source-grid-load-storage related data, including: critical signal strength, critical data transmission bit error rate, critical communication interruption frequency, critical number of obstacles, critical electromagnetic interference intensity, critical adjacent concentrator spacing, comprehensive performance evaluation influencing factor corresponding to the set communication quality evaluation index, comprehensive performance evaluation influencing factor corresponding to the set environmental interference value, critical channel rate, critical channel capacity, critical channel bit error rate, environmental interference threshold and comprehensive performance evaluation threshold and other indicators.

[0089] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A smart microgrid concentrator collaborative data collection method based on source, grid, load and storage, characterized in that: include: Obtain smart microgrid concentrators, mark them as target concentrators, and collect communication data and location environment data of each target concentrator; The communication data is processed to obtain the communication quality evaluation index of each target concentrator; the location environment data is processed to obtain the environmental interference value of each target concentrator, and the comprehensive performance evaluation value of each target concentrator is obtained by comprehensive analysis; Channel matching is performed on each target concentrator according to the comprehensive performance evaluation value of each target concentrator.

2. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 1 is characterized by: The communication data is processed to obtain the communication quality evaluation index of each target concentrator, and the specific processing process is: The communication data includes signal strength, data transmission error rate and communication interruption frequency; The critical signal strength, critical data transmission error rate and critical communication interruption frequency are extracted from the source-grid-load-storage database, and the communication quality evaluation index of each target concentrator is obtained through comprehensive analysis.

3. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 1 is characterized in that: The location environment data is processed to obtain the environmental interference value of each target concentrator, and the specific processing process is as follows: The location environment data includes the number of obstacles, electromagnetic interference intensity and the distance between adjacent concentrators; The critical number of obstacles, critical electromagnetic interference intensity and critical adjacent concentrator spacing are extracted from the source-grid-load-storage database, and the environmental interference value of each target concentrator is obtained through comprehensive analysis. The environmental interference value of each target concentrator is used to adjust the initial working position of each target concentrator.

4. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 3 is characterized by: The initial working position of each target concentrator is adjusted, and the specific adjustment process is as follows: Obtain each working position of each target concentrator, extract the environmental interference threshold from the source network load storage database, compare the environmental interference value of each target concentrator with the environmental interference threshold, if the environmental interference value of a target concentrator is greater than or equal to the environmental interference threshold, then sort the environmental interference values ​​of each working position of the target concentrator, mark the working position with the smallest environmental interference value as the update position, if the environmental interference value of a target concentrator is less than the environmental interference threshold, no additional operation is performed.

5. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 2 is characterized by: The comprehensive analysis obtains the comprehensive performance evaluation value of each target concentrator, and the specific analysis process is as follows: According to the communication quality evaluation index and the environmental interference value of each target concentrator, a comprehensive performance evaluation value of each target concentrator is obtained through comprehensive analysis. The comprehensive performance evaluation value of each target concentrator is used to quantify the comprehensive performance of each target concentrator.

6. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 5 is characterized in that: The channel matching of each target concentrator is performed according to the comprehensive performance evaluation value of each target concentrator, and the specific matching process is: The working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator to obtain each unstable concentrator; Acquire the transmission load of each unstable concentrator, and sort them according to the transmission load to obtain a priority sequence of channels allocated to the unstable concentrators; Obtain unoccupied channels, mark them as target channels, collect quality data of each target channel, and process the quality data of each target channel to obtain an anti-interference performance evaluation value of each target channel; Sort each target channel according to the anti-interference performance evaluation value of each target channel to obtain a target channel allocation sequence; Channel allocation is performed according to the unstable concentrator allocation channel priority sequence and the target channel allocation sequence.

7. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 5 is characterized by: The working performance of each target concentrator is evaluated according to the comprehensive performance evaluation value of each target concentrator. The specific evaluation process is as follows: The comprehensive performance evaluation threshold is extracted from the source-grid-load-storage database, and the comprehensive performance evaluation value of each target concentrator is compared with the comprehensive performance evaluation threshold. If the comprehensive performance evaluation value of a target concentrator is greater than or equal to the comprehensive performance evaluation threshold, no additional operation is performed. If the comprehensive performance evaluation value of a target concentrator is less than the comprehensive performance evaluation threshold, the target concentrator is marked as an unstable concentrator.

8. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 6 is characterized by: The quality data of each target channel is processed to obtain the anti-interference performance evaluation value of each target channel. The specific processing process is: The quality data of each target channel includes the channel historical average rate, channel capacity and channel historical average bit error rate; The critical channel rate, critical channel capacity and critical channel bit error rate are extracted from the source network load storage database, and the anti-interference performance evaluation value of each target channel is obtained through comprehensive analysis.

9. The source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method according to claim 5 is characterized by: The comprehensive performance evaluation value of each target concentrator is specifically expressed as: in, represents the comprehensive performance evaluation value of the i-th target concentrator, represents the communication quality evaluation index of the i-th target concentrator, represents the adjusted environmental interference value of the i-th target concentrator, Indicates the comprehensive performance evaluation impact factor corresponding to the set communication quality evaluation index, It represents the comprehensive performance evaluation impact factor corresponding to the set environmental interference value, i represents the number of each target concentrator, i=1,2,3,...,m, and m represents the total number of target concentrators.

10. A system using the source-grid-load-storage-based intelligent microgrid concentrator collaborative data collection method as described in any one of claims 1 to 9, characterized in that: include: The data acquisition module is used to obtain the smart microgrid concentrators, mark them as target concentrators, and collect the communication data and location environment data of each target concentrator; The concentrator comprehensive performance analysis module is used to process the communication data to obtain the communication quality evaluation index of each target concentrator, process the location environment data to obtain the environmental interference value of each target concentrator, and comprehensively analyze to obtain the comprehensive performance evaluation value of each target concentrator; A channel matching module, used for performing channel matching on each target concentrator according to the comprehensive performance evaluation value of each target concentrator; The source-grid-load-storage database is used to store source-grid-load-storage related data, including: critical signal strength, critical data transmission bit error rate, critical communication interruption frequency, critical number of obstacles, critical electromagnetic interference intensity, critical adjacent concentrator spacing, comprehensive performance evaluation influencing factor corresponding to the set communication quality evaluation index, comprehensive performance evaluation influencing factor corresponding to the set environmental interference value, critical channel rate, critical channel capacity, critical channel bit error rate, environmental interference threshold and comprehensive performance evaluation threshold.

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