Power utilization information acquisition terminal signal quality monitoring method and device

Abstract

The invention belongs to the technical field of electric power communication, and discloses a method and a device for monitoring signal quality of an electricity utilization information acquisition terminal. The method comprises the steps of acquiring original operation data of a power utilization information acquisition terminal; respectively processing the original operation data by taking the acquisition success rate and the reconnection times as signal quality monitoring indexes to obtain a first data matrix and a second data matrix; determining a target evaluation matrix corresponding to the collection success rate and the number of reconnection times based on the first data matrix and the second data matrix; based on the first data matrix and the second data matrix, weights corresponding to the collection success rate and the reconnection times are determined; and monitoring the signal quality of the power utilization information acquisition terminal according to the target evaluation matrix and the weights corresponding to the acquisition success rate and the number of reconnection times, and taking the acquisition success rate and the number of reconnection times as indexes for monitoring the signal quality. Accurate monitoring of the signal quality can be realized by using the data matrix, the evaluation matrix and the weight of the signal quality monitoring index.

Description

Technical Field

[0001] The present invention relates to the field of electric power communication technology, and in particular to a method and device for monitoring the signal quality of an electric power information collection terminal. Background Art

[0002] At present, the power user electricity consumption information collection system is an important part of the construction of smart grids. In smart grids, the power consumption information collection system can perform remote collection and real-time monitoring, providing convenience for staff to grasp the power consumption information of power users. The power consumption information collection system is mainly composed of three parts: the main station system, the communication channel, and the field terminal. The collection terminal plays the role of collecting user electricity consumption information and transmitting it to the main station system. However, due to the lack of signal coverage facilities at the installation location of some power consumption information collection terminals or signal obstruction during use, the terminal network signal coverage is weak, making it difficult to support normal communication of terminals in the area.

[0003] The detection of the communication performance of the existing power consumption information collection terminal is relatively complex and is mostly carried out under simulated working conditions. There is a certain gap between the communication performance of the actual collection terminal and the accurate monitoring of the signal quality of the power consumption information collection terminal cannot be achieved.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of the present invention is to provide a method and device for monitoring the quality of signals from power consumption information collection terminals, aiming to solve the current technical problem of being unable to accurately monitor the quality of signals from power consumption information collection terminals.

[0006] To achieve the above object, the present invention provides a method for monitoring the signal quality of a power consumption information collection terminal, the method comprising the following steps:

[0007] Obtain the original operation data of the electricity consumption information collection terminal;

[0008] The original operation data are processed respectively using the acquisition success rate and the number of reconnections as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, wherein the first data matrix corresponds to the acquisition success rate and the second data matrix corresponds to the number of reconnections;

[0009] Determine a target evaluation matrix corresponding to the acquisition success rate and the number of reconnections based on the first data matrix and the second data matrix;

[0010] Determine the weights corresponding to the acquisition success rate and the number of reconnections respectively based on the first data matrix and the second data matrix;

[0011] The signal quality of the power consumption information collection terminal is monitored according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

[0012] In some embodiments, the acquisition success rate and the number of reconnection times are used as signal quality monitoring indicators to process the original operation data respectively to obtain a first data matrix and a second data matrix, including:

[0013] The number of power consumption information collection terminals and the number of days for recording the collection success rate are extracted from the original operation data, and a first data matrix is ​​obtained based on the number and the number of days for recording the collection success rate. The first data matrix is

[0014]

[0015] Among them, n1 is the number of electricity consumption information collection terminals, and m1 is the number of days for recording the collection success rate;

[0016] The number of days for recording the number of reconnections is extracted from the original operation data, and a second data matrix is ​​obtained based on the number and the number of days for recording the number of reconnections. The second data matrix is

[0017]

[0018] Among them, m2 is the number of days for recording the number of reconnections.

[0019] In some embodiments, determining the target evaluation matrix corresponding to the acquisition success rate and the number of reconnections based on the first data matrix and the second data matrix includes:

[0020] Establishing a hierarchical model, wherein the evaluation object in the hierarchical model is determined as the comparison between the acquisition success rate and the number of reconnections, the target layer is the number of days corresponding to the acquisition success rate and the number of reconnections, and the criterion layer is the corresponding criteria of acquisition success and reconnection occurrence;

[0021] Comparing each eigenvalue within the first data matrix and the second data matrix based on the criterion layer, and obtaining a judgment matrix based on the comparison result;

[0022] The relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are determined according to the judgment matrix, and the target evaluation matrix is ​​determined with the relative weights as evaluation thresholds.

[0023] In some embodiments, determining the weights corresponding to the acquisition success rate and the number of reconnection times based on the first data matrix and the second data matrix includes:

[0024] Performing index standardization processing on the first data matrix and the second data matrix respectively to obtain a first standardized matrix and a second standardized matrix;

[0025] Determine the conflict between the acquisition success rate and the number of reconnections based on a correlation coefficient between the acquisition success rate and the number of reconnections;

[0026] Calculate a first standard deviation corresponding to the acquisition success rate and a second standard deviation corresponding to the number of reconnections based on the first standardization matrix and the second standardization matrix respectively;

[0027] A weight corresponding to the acquisition success rate is determined according to the first standard deviation and the conflict, and a weight corresponding to the number of reconnections is determined according to the second standard deviation and the conflict.

[0028] In some embodiments, monitoring the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections respectively includes:

[0029] Establishing a weighting matrix according to the target evaluation matrix and the weights corresponding to the acquisition success rate and the number of reconnections;

[0030] Determine positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections, respectively, based on the weighted matrix;

[0031] Determine the relative distance of the target according to the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections;

[0032] A monitoring and evaluation result of the signal quality of the power consumption information collection terminal is determined based on the target relative distance.

[0033] In some embodiments, determining the relative distance of the target according to the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections respectively includes:

[0034] The first relative distance is calculated according to the positive and negative ideal solutions corresponding to the acquisition success rate, and the calculation formula is:

[0035]

[0036] in, is the positive ideal solution corresponding to the acquisition success rate, is the negative ideal solution corresponding to the acquisition success rate;

[0037] The second relative distance is calculated according to the positive and negative ideal solutions corresponding to the number of reconnections, and the calculation formula is:

[0038]

[0039] in, is the positive ideal solution corresponding to the number of reconnections, is the negative ideal solution corresponding to the number of reconnections;

[0040] The target distance is determined according to the first relative distance and the second relative distance, and the calculation formula is:

[0041] L=α1L1+α2L2,

[0042] Among them, α1 is the preset coefficient corresponding to the acquisition success rate, and α2 is the preset coefficient corresponding to the number of reconnection times.

[0043] In some embodiments, the method further comprises:

[0044] Determine the power consumption information collection terminal whose signal quality is lower than the preset requirement based on the monitoring and evaluation result of the signal quality of the power consumption information collection terminal, and obtain the longitude and latitude data of the power consumption information collection terminal whose signal quality is lower than the preset requirement;

[0045] Converting the longitude and latitude coordinates corresponding to the longitude and latitude data;

[0046] Clustering is performed based on the converted longitude and latitude coordinates to determine the area where the power consumption information collection terminal whose signal quality is lower than the preset requirement is located.

[0047] In addition, to achieve the above-mentioned purpose, the present invention also proposes a signal quality monitoring device for a power consumption information collection terminal, the signal quality monitoring device for a power consumption information collection terminal comprising:

[0048] An acquisition module is used to acquire the original operation data of the power consumption information collection terminal;

[0049] A processing module, configured to process the original operation data respectively using the acquisition success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, wherein the first data matrix corresponds to the acquisition success rate and the second data matrix corresponds to the number of reconnection times;

[0050] A construction module, configured to determine a target evaluation matrix corresponding to the acquisition success rate and the number of reconnection times based on the first data matrix and the second data matrix;

[0051] A calculation module, used to determine the weights corresponding to the acquisition success rate and the number of reconnection times respectively based on the first data matrix and the second data matrix;

[0052] A monitoring module is used to monitor the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

[0053] In some embodiments, the processing module is used to extract the number of power consumption information collection terminals and the number of days of recording the collection success rate from the original operation data, and obtain a first data matrix based on the number and the number of days of recording the collection success rate. The first data matrix is

[0054]

[0055] Among them, n1 is the number of electricity consumption information collection terminals, and m1 is the number of days for recording the collection success rate;

[0056] The number of days for recording the number of reconnections is extracted from the original operation data, and a second data matrix is ​​obtained based on the number and the number of days for recording the number of reconnections. The second data matrix is

[0057]

[0058] Among them, m2 is the number of days for recording the number of reconnections.

[0059] In some embodiments, the construction module is used to establish a hierarchical model, wherein the evaluation object in the hierarchical model is determined as the comparison between the acquisition success rate and the number of reconnections, the target layer is the number of days corresponding to the acquisition success rate and the number of reconnections, and the criterion layer is the corresponding criteria of acquisition success and reconnection occurrence;

[0060] Comparing each eigenvalue within the first data matrix and the second data matrix based on the criterion layer, and obtaining a judgment matrix based on the comparison result;

[0061] The relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are determined according to the judgment matrix, and the target evaluation matrix is ​​determined with the relative weights as evaluation thresholds.

[0062] The present invention obtains the original operation data of the power consumption information collection terminal; processes the original operation data with the collection success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix; determines the target evaluation matrix corresponding to the collection success rate and the number of reconnection times based on the first data matrix and the second data matrix; determines the weights corresponding to the collection success rate and the number of reconnection times based on the first data matrix and the second data matrix; monitors the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnection times. The above method uses the collection success rate and the number of reconnection times as indicators for signal quality monitoring, and uses the data matrix, the evaluation matrix and the weights of the indicators for signal quality monitoring to achieve accurate monitoring of signal quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a flow chart of a first embodiment of a method for monitoring signal quality of a power consumption information collection terminal according to the present invention;

[0064] Figure 2 This is a structural block diagram of the first embodiment of the signal quality monitoring device for the power consumption information collection terminal of the present invention.

[0065] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0066] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0067] The embodiment of the present invention provides a method for monitoring the signal quality of an electricity consumption information collection terminal, referring to Figure 1 , Figure 1 The present invention is a flowchart of a first embodiment of a method for monitoring signal quality of a power consumption information collection terminal.

[0068] In this embodiment, the signal quality monitoring method of the power consumption information collection terminal includes the following steps:

[0069] Step S10: Acquire the original operation data of the electricity consumption information collection terminal.

[0070] In this embodiment, the executor of this embodiment is a signal quality monitoring device for a power consumption information collection terminal, wherein the signal quality monitoring device for a power consumption information collection terminal has functions such as data processing, data communication, and program running. The signal quality monitoring device for a power consumption information collection terminal can be a computer terminal device or other network device, and of course can also be other devices with similar functions, and this embodiment does not impose any restrictions on this.

[0071] It should be noted that the detection of the communication performance of the existing electricity consumption information collection terminal is relatively complex and is mostly carried out under simulated working conditions. There is a certain gap between the communication performance of the actual collection terminal and the accurate monitoring of the signal quality of the electricity consumption information collection terminal cannot be achieved.

[0072] In order to solve the above technical problems, this embodiment obtains the original operation data of the electricity consumption information collection terminal; processes the original operation data with the collection success rate and the number of reconnections as signal quality monitoring indicators to obtain a first data matrix and a second data matrix; determines the target evaluation matrix corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; determines the weights corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; monitors the signal quality of the electricity consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections. The above method uses the collection success rate and the number of reconnections as indicators for signal quality monitoring, and uses the data matrix, the evaluation matrix, and the weights of the signal quality monitoring indicators to achieve accurate monitoring of the signal quality. Specifically, it can be achieved as follows.

[0073] In the specific implementation, in this embodiment, it is necessary to first collect the original operation data of the electricity consumption information collection terminal. In this embodiment, the original operation data of multiple electricity consumption information collection terminals are obtained. When performing signal quality monitoring, multiple electricity consumption information collection terminals can be monitored simultaneously.

[0074] Step S20: The original operation data is processed respectively using the acquisition success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix.

[0075] There are many factors that affect the signal quality of the power consumption collection terminal. In this embodiment, the collection success rate and the number of reconnections are selected as monitoring indicators. The collection success rate is the success rate of the power consumption information collection terminal receiving data from the subordinate electric meter each time, which can reflect the local communication quality of the collection terminal. The value range corresponding to the success rate is 0 to 100%. The number of reconnections indicates the number of times each power consumption information collection terminal attempts to establish contact with the collection master station within a certain period of time (for example, 24 hours). The minimum value range is 0. When the value range is 0 to 3, it means that the number of reconnections is small, and it can be determined that the signal coverage quality of the location where the power consumption information collection terminal is located is good; if the value range is 4 to 10, it means that the number of reconnections is large, and the signal coverage quality of the location where the power consumption information collection terminal is located is medium. The more reconnections, the worse the corresponding signal coverage quality.

[0076] The original operation data is processed with the above-mentioned collection success rate and reconnection times to obtain a first data matrix and a second data matrix. In this embodiment, the number of power consumption information collection terminals, the number of days for recording the collection success rate, and the number of days for recording the reconnection times need to be extracted from the original operation data. The constructed first data matrix is, for example,

[0077]

[0078] Among them, n1 is the number of electricity consumption information collection terminals, m1 is the number of days for recording the collection success rate, That is, the specific value corresponding to the collection success rate;

[0079] The second data matrix constructed is, for example,

[0080]

[0081] Among them, m2 is the number of days for recording the number of reconnections, That is, the specific value corresponding to the number of reconnections.

[0082] Further, the optimal value max1 and the worst value min1 of the internal eigenvalue of the first data matrix are determined:

[0083]

[0084] The optimal value reflects the situation in which the electricity consumption information collection terminal receives the subordinate electricity meter data when the network signal quality of the electricity consumption information collection terminal is the strongest; the worst value reflects the situation in which the electricity consumption information collection terminal receives the subordinate electricity meter data when the network signal quality of the electricity consumption information collection terminal is the weakest.

[0085] Determine the optimal value max2 and the worst value min2 of the internal eigenvalue of the second data matrix:

[0086]

[0087] The optimal value reflects the number of reconnections of the power consumption information collection terminal when the network signal quality of the power consumption information collection terminal is the strongest; the worst value reflects the number of reconnections of the power consumption information collection terminal when the network signal quality of the power consumption information collection terminal is the weakest.

[0088] Step S30: determining a target evaluation matrix corresponding to the acquisition success rate and the number of reconnections based on the first data matrix and the second data matrix.

[0089] After obtaining the above-mentioned first data matrix and second data matrix, a hierarchical model can be established in this embodiment. In the established hierarchical model, the evaluation object in the hierarchical model is determined as the comparison within the acquisition success rate and the reconnection number, the target layer is the recorded days corresponding to the acquisition success rate and the reconnection number, and the criterion layer is the corresponding criteria of successful acquisition and the occurrence of reconnection.

[0090] Then, the eigenvalues ​​of the first data matrix and the second data matrix are compared based on the criterion layer, and a judgment matrix is ​​obtained based on the comparison results. If the acquisition is successful and a reconnection event occurs, 1 is added to the judgment matrix. Finally, the relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are obtained by matrix weighting. The calculated relative weights are used as evaluation thresholds, and the group with the largest relative weight is selected to construct the target evaluation matrix.

[0091] Step S40: Determine the weights corresponding to the acquisition success rate and the number of reconnections, respectively, based on the first data matrix and the second data matrix.

[0092] According to the first data matrix and the second data matrix obtained above, the weights corresponding to the acquisition success rate and the number of reconnection times can be further determined in this embodiment. The specific process includes standardizing the indicators of the first data matrix and the second data matrix respectively to obtain the first standardized matrix and the second standardized matrix, for example Where min(x) and max(x) are the above-mentioned optimal value and worst value. The conflict between the acquisition success rate and the number of reconnections is determined based on the correlation coefficient between the acquisition success rate and the number of reconnections, for example, R=1-r, where r is the correlation coefficient, and the first standard deviation corresponding to the acquisition success rate and the second standard deviation corresponding to the number of reconnections are calculated based on the first standardization matrix and the second standardization matrix, respectively. The calculation formula of the standard deviation is: m is the corresponding number of recorded days, The weight corresponding to the acquisition success rate is determined according to the first standard deviation and the conflict, and the weight corresponding to the number of reconnections is determined according to the second standard deviation and the conflict, for example, C=σ·R.

[0093] Step S50: monitoring the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

[0094] In a specific implementation, in this embodiment, a weighted matrix can be established according to the target evaluation matrix and the weights corresponding to the acquisition success rate and the number of reconnections, for example, Z=SW, S represents the target evaluation matrix, W represents the weights corresponding to the acquisition success rate and the number of reconnections, and then the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections can be determined according to the weighted matrix, for example

[0095]

[0096] Among them, the positive and negative ideal solutions corresponding to the acquisition success rate are and Corresponding and They correspond to the optimal value max1 and the worst value min1 of the internal eigenvalues ​​of the first data matrix respectively. The number of reconnections is similar to the acquisition success rate, and will not be described in detail in this embodiment.

[0097] The target relative distance can be further calculated based on the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnection times. The specific process is to calculate the first relative distance based on the positive and negative ideal solutions corresponding to the acquisition success rate. The calculation formula is:

[0098]

[0099] in, is the positive ideal solution corresponding to the acquisition success rate, is the negative ideal solution corresponding to the acquisition success rate;

[0100] The second relative distance is calculated based on the positive and negative ideal solutions corresponding to the number of reconnections. The calculation formula is:

[0101]

[0102] in, is the positive ideal solution corresponding to the number of reconnections, is the negative ideal solution corresponding to the number of reconnections;

[0103] The target distance is determined according to the first relative distance and the second relative distance, and the calculation formula is:

[0104] L=α1L1+α2L2,

[0105] Among them, α1 is the preset coefficient corresponding to the acquisition success rate, and α2 is the preset coefficient corresponding to the number of reconnections. It should be noted that the sum of α1 and α2 is 1. The specific size can be adjusted according to the monitoring needs. For example, the preset coefficient of the acquisition success rate can be set higher than the preset coefficient of the number of reconnections. The target distance represents the similarity between the current power information collection terminal and the optimal power information collection terminal. The optimal power information collection terminal is the power information collection terminal with the highest acquisition success rate and the least number of reconnections. The target distance can be used to monitor and evaluate the signal quality of the current power information collection terminal. For example, different distances correspond to a ratio. The evaluation result of the optimal power information collection terminal is 100 points, and the ratios corresponding to different distances are converted into corresponding scores.

[0106] Furthermore, in this embodiment, the power consumption information collection terminals whose signal quality is lower than the preset requirement can be determined based on the above signal quality monitoring results. The preset requirement can be set as a score. For these power consumption information collection terminals with poor signal quality, in this embodiment, it is necessary to further obtain their longitude and latitude data, and then convert the longitude and latitude coordinates corresponding to the longitude and latitude data, for example, Zone = lon / 6 + 31, where lon represents the integer part of longitude or latitude, and the constant 31 can be adjusted within the range of 25 to 35. Finally, clustering is performed based on the converted longitude and latitude coordinates. For example, taking one of the power consumption information collection terminals as a reference, the two-point Euclidean distance between the power consumption information collection terminal and other power consumption information collection terminals is calculated, and the Euclidean distance is compared with the size of the neighborhood radius. If the number of points contained in the neighborhood radius of the power consumption information collection terminal is greater than the preset number, the power consumption information collection terminal is taken as the core object, and the cluster corresponding to the core point is determined. After traversing all the data of the terminal set, a cluster with multiple terminals and noise points are obtained. The resulting clusters projected on the map are low-quality terminal-dense areas, which can be considered areas with weak network signal quality.

[0107] This embodiment obtains the original operation data of the power consumption information collection terminal; processes the original operation data with the collection success rate and the number of reconnections as signal quality monitoring indicators to obtain a first data matrix and a second data matrix; determines a target evaluation matrix corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; determines the weights corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; monitors the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections. The above method uses the collection success rate and the number of reconnections as indicators for signal quality monitoring, and uses the data matrix, the evaluation matrix, and the weights of the indicators for signal quality monitoring to achieve accurate monitoring of signal quality.

[0108] Reference Figure 2 , Figure 2 This is a structural block diagram of the first embodiment of the signal quality monitoring device for the power consumption information collection terminal of the present invention.

[0109] like Figure 2 As shown, the signal quality monitoring device of the power consumption information collection terminal proposed in the embodiment of the present invention includes:

[0110] The acquisition module 10 is used to acquire the original operation data of the power consumption information collection terminal.

[0111] The processing module 20 is used to process the original operation data using the acquisition success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, wherein the first data matrix corresponds to the acquisition success rate and the second data matrix corresponds to the number of reconnection times.

[0112] A construction module 30 is used to determine a target evaluation matrix corresponding to the acquisition success rate and the number of reconnection times based on the first data matrix and the second data matrix.

[0113] The calculation module 40 is used to determine the weights corresponding to the acquisition success rate and the number of reconnection times based on the first data matrix and the second data matrix.

[0114] The monitoring module 50 is used to monitor the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

[0115] This embodiment obtains the original operation data of the power consumption information collection terminal; processes the original operation data with the collection success rate and the number of reconnections as signal quality monitoring indicators to obtain a first data matrix and a second data matrix; determines a target evaluation matrix corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; determines the weights corresponding to the collection success rate and the number of reconnections based on the first data matrix and the second data matrix; monitors the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections. The above method uses the collection success rate and the number of reconnections as indicators for signal quality monitoring, and uses the data matrix, the evaluation matrix, and the weights of the indicators for signal quality monitoring to achieve accurate monitoring of signal quality.

[0116] In some embodiments, the processing module 20 is used to extract the number of power consumption information collection terminals and the number of days of recording the collection success rate from the original operation data, and obtain a first data matrix based on the number and the number of days of recording the collection success rate. The first data matrix is

[0117]

[0118] Among them, n1 is the number of electricity consumption information collection terminals, and m1 is the number of days for recording the collection success rate;

[0119] The number of days for recording the number of reconnections is extracted from the original operation data, and a second data matrix is ​​obtained based on the number and the number of days for recording the number of reconnections. The second data matrix is

[0120]

[0121] Among them, m2 is the number of days for recording the number of reconnections.

[0122] In some embodiments, the construction module 30 is used to establish a hierarchical model, wherein the evaluation object in the hierarchical model is determined as the comparison between the acquisition success rate and the number of reconnections, the target layer is the number of days corresponding to the acquisition success rate and the number of reconnections, and the criterion layer is the corresponding criteria of acquisition success and reconnection occurrence;

[0123] Comparing each eigenvalue within the first data matrix and the second data matrix based on the criterion layer, and obtaining a judgment matrix based on the comparison result;

[0124] The relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are determined according to the judgment matrix, and the target evaluation matrix is ​​determined with the relative weights as evaluation thresholds.

[0125] In some embodiments, the calculation module 40 is used to perform index standardization processing on the first data matrix and the second data matrix respectively to obtain a first standardized matrix and a second standardized matrix;

[0126] Determine the conflict between the acquisition success rate and the number of reconnections based on a correlation coefficient between the acquisition success rate and the number of reconnections;

[0127] Calculate a first standard deviation corresponding to the acquisition success rate and a second standard deviation corresponding to the number of reconnections based on the first standardization matrix and the second standardization matrix respectively;

[0128] A weight corresponding to the acquisition success rate is determined according to the first standard deviation and the conflict, and a weight corresponding to the number of reconnections is determined according to the second standard deviation and the conflict.

[0129] In some embodiments, the monitoring module 50 is used to establish a weighted matrix according to the target evaluation matrix and the weights corresponding to the acquisition success rate and the number of reconnections;

[0130] Determine positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections, respectively, based on the weighted matrix;

[0131] Determine the relative distance of the target according to the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections;

[0132] A monitoring and evaluation result of the signal quality of the power consumption information collection terminal is determined based on the target relative distance.

[0133] In some embodiments, the monitoring module 50 is used to calculate the first relative distance according to the positive and negative ideal solutions corresponding to the acquisition success rate, and the calculation formula is:

[0134]

[0135] in, is the positive ideal solution corresponding to the acquisition success rate, is the negative ideal solution corresponding to the acquisition success rate;

[0136] The second relative distance is calculated according to the positive and negative ideal solutions corresponding to the number of reconnections, and the calculation formula is:

[0137]

[0138] in, is the positive ideal solution corresponding to the number of reconnections, is the negative ideal solution corresponding to the number of reconnections;

[0139] The target distance is determined according to the first relative distance and the second relative distance, and the calculation formula is:

[0140] L=α1L1+α2L2,

[0141] Among them, α1 is the preset coefficient corresponding to the acquisition success rate, and α2 is the preset coefficient corresponding to the number of reconnection times.

[0142] In some embodiments, the monitoring module 50 is used to determine the power consumption information collection terminal whose signal quality is lower than the preset requirement based on the monitoring and evaluation result of the signal quality of the power consumption information collection terminal, and obtain the latitude and longitude data of the power consumption information collection terminal whose signal quality is lower than the preset requirement;

[0143] Converting the longitude and latitude coordinates corresponding to the longitude and latitude data;

[0144] Clustering is performed based on the converted longitude and latitude coordinates to determine the area where the power consumption information collection terminal whose signal quality is lower than the preset requirement is located.

[0145] An embodiment of the present application also provides a signal quality monitoring device for a power consumption information collection terminal, including a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus, and the memory is used to store a signal quality monitoring program for the power consumption information collection terminal; the processor is used to implement the above-mentioned signal quality monitoring method for the power consumption information collection terminal when executing the program stored in the memory.

[0146] The communication bus mentioned in the above-mentioned power consumption information collection terminal signal quality monitoring device can be a peripheral component interconnect standard (English: Peripheral Component Interconnect, referred to as: PCI) bus or an extended industry standard architecture (English: Extended Industry Standard Architecture, referred to as: EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc.

[0147] The communication interface is used for communication between the above-mentioned power consumption information collection terminal signal quality monitoring device and other devices.

[0148] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0149] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

[0150] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0151] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0152] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0153] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0154] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0155] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0156] In addition, for technical details not fully described in this embodiment, reference can be made to the signal quality monitoring method for the power consumption information collection terminal provided in any embodiment of the present invention, and will not be repeated here.

[0157] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0158] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0159] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

[0160] It is understandable that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, examples and beneficial effects of the relevant contents can refer to the corresponding parts in the above method.

Claims

1. A method for monitoring signal quality of a power consumption information collection terminal, characterized in that: The signal quality monitoring method of the power consumption information collection terminal includes: Obtain the original operation data of the electricity consumption information collection terminal; The original operation data are processed respectively using the acquisition success rate and the number of reconnections as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, wherein the first data matrix corresponds to the acquisition success rate and the second data matrix corresponds to the number of reconnections; Determine a target evaluation matrix corresponding to the acquisition success rate and the number of reconnections based on the first data matrix and the second data matrix; Determine the weights corresponding to the acquisition success rate and the number of reconnections respectively based on the first data matrix and the second data matrix; The signal quality of the power consumption information collection terminal is monitored according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

2. The signal quality monitoring method of the power consumption information collection terminal according to claim 1, characterized in that: The original operation data is processed using the acquisition success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, including: The number of power consumption information collection terminals and the number of days for recording the collection success rate are extracted from the original operation data, and a first data matrix is ​​obtained based on the number and the number of days for recording the collection success rate. The first data matrix is Among them, n1 is the number of electricity consumption information collection terminals, and m1 is the number of days for recording the collection success rate; The number of days for recording the number of reconnections is extracted from the original operation data, and a second data matrix is ​​obtained based on the number and the number of days for recording the number of reconnections. The second data matrix is Among them, m2 is the number of days for recording the number of reconnections.

3. The signal quality monitoring method of the power consumption information collection terminal according to claim 1, characterized in that: The determining, based on the first data matrix and the second data matrix, a target evaluation matrix corresponding to the acquisition success rate and the number of reconnections includes: Establishing a hierarchical model, wherein the evaluation object in the hierarchical model is determined as the comparison between the acquisition success rate and the number of reconnections, the target layer is the number of days corresponding to the acquisition success rate and the number of reconnections, and the criterion layer is the corresponding criteria of acquisition success and reconnection occurrence; Comparing each eigenvalue within the first data matrix and the second data matrix based on the criterion layer, and obtaining a judgment matrix based on the comparison result; The relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are determined according to the judgment matrix, and the target evaluation matrix is ​​determined with the relative weights as evaluation thresholds.

4. The signal quality monitoring method of the power consumption information collection terminal according to claim 1, characterized in that: The determining, based on the first data matrix and the second data matrix, weights corresponding to the acquisition success rate and the number of reconnections, respectively, includes: Performing index standardization processing on the first data matrix and the second data matrix respectively to obtain a first standardized matrix and a second standardized matrix; Determine the conflict between the acquisition success rate and the number of reconnections based on a correlation coefficient between the acquisition success rate and the number of reconnections; Calculate a first standard deviation corresponding to the acquisition success rate and a second standard deviation corresponding to the number of reconnections based on the first standardization matrix and the second standardization matrix respectively; A weight corresponding to the acquisition success rate is determined according to the first standard deviation and the conflict, and a weight corresponding to the number of reconnections is determined according to the second standard deviation and the conflict.

5. The signal quality monitoring method of the power consumption information collection terminal according to claim 1, characterized in that: The monitoring of the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections respectively includes: Establishing a weighting matrix according to the target evaluation matrix and the weights corresponding to the acquisition success rate and the number of reconnections; Determine positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections, respectively, based on the weighted matrix; Determine the relative distance of the target according to the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections; A monitoring and evaluation result of the signal quality of the power consumption information collection terminal is determined based on the target relative distance.

6. The signal quality monitoring method of the power consumption information collection terminal according to claim 5, characterized in that: The determining the relative distance of the target according to the positive and negative ideal solutions corresponding to the acquisition success rate and the number of reconnections respectively includes: The first relative distance is calculated according to the positive and negative ideal solutions corresponding to the acquisition success rate, and the calculation formula is: in, is the positive ideal solution corresponding to the acquisition success rate, is the negative ideal solution corresponding to the acquisition success rate; The second relative distance is calculated according to the positive and negative ideal solutions corresponding to the number of reconnections, and the calculation formula is: in, is the positive ideal solution corresponding to the number of reconnections, is the negative ideal solution corresponding to the number of reconnections; The target distance is determined according to the first relative distance and the second relative distance, and the calculation formula is: L=α1L1+α2L2, Among them, α1 is the preset coefficient corresponding to the acquisition success rate, and α2 is the preset coefficient corresponding to the number of reconnection times.

7. The signal quality monitoring method of the power consumption information collection terminal according to claim 5, characterized in that: The method further comprises: Determine the power consumption information collection terminal whose signal quality is lower than the preset requirement based on the monitoring and evaluation result of the signal quality of the power consumption information collection terminal, and obtain the longitude and latitude data of the power consumption information collection terminal whose signal quality is lower than the preset requirement; Converting the longitude and latitude coordinates corresponding to the longitude and latitude data; Clustering is performed based on the converted longitude and latitude coordinates to determine the area where the power consumption information collection terminal whose signal quality is lower than the preset requirement is located.

8. A signal quality monitoring device for a power consumption information collection terminal, characterized in that: The signal quality monitoring device of the power consumption information collection terminal comprises: An acquisition module is used to acquire the original operation data of the power consumption information collection terminal; A processing module, configured to process the original operation data respectively using the acquisition success rate and the number of reconnection times as signal quality monitoring indicators to obtain a first data matrix and a second data matrix, wherein the first data matrix corresponds to the acquisition success rate and the second data matrix corresponds to the number of reconnection times; A construction module, configured to determine a target evaluation matrix corresponding to the acquisition success rate and the number of reconnection times based on the first data matrix and the second data matrix; A calculation module, used to determine the weights corresponding to the acquisition success rate and the number of reconnection times respectively based on the first data matrix and the second data matrix; A monitoring module is used to monitor the signal quality of the power consumption information collection terminal according to the target evaluation matrix and the weights corresponding to the collection success rate and the number of reconnections.

9. The signal quality monitoring device for power consumption information collection terminal according to claim 8, characterized in that: The processing module is used to extract the number of power consumption information collection terminals and the number of days of recording the collection success rate from the original operation data, and obtain a first data matrix based on the number and the number of days of recording the collection success rate. The first data matrix is Among them, n1 is the number of electricity consumption information collection terminals, and m1 is the number of days for recording the collection success rate; The number of days for recording the number of reconnections is extracted from the original operation data, and a second data matrix is ​​obtained based on the number and the number of days for recording the number of reconnections. The second data matrix is Among them, m2 is the number of days for recording the number of reconnections.

10. The signal quality monitoring device for power consumption information collection terminal according to claim 8, characterized in that: The construction module is used to establish a hierarchical model, wherein the evaluation object in the hierarchical model is determined as the comparison between the acquisition success rate and the number of reconnections, the target layer is the number of days corresponding to the acquisition success rate and the number of reconnections, and the criterion layer is the corresponding criteria of successful acquisition and the occurrence of reconnection; Comparing each eigenvalue within the first data matrix and the second data matrix based on the criterion layer, and obtaining a judgment matrix based on the comparison result; The relative weights of the influencing factors corresponding to the acquisition success rate and the number of reconnections are determined according to the judgment matrix, and the target evaluation matrix is ​​determined with the relative weights as evaluation thresholds.

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