CN114050848A - Performance test method and analysis method based on HPLC - Google Patents
Performance test method and analysis method based on HPLC Download PDFInfo
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- CN114050848A CN114050848A CN202111368743.0A CN202111368743A CN114050848A CN 114050848 A CN114050848 A CN 114050848A CN 202111368743 A CN202111368743 A CN 202111368743A CN 114050848 A CN114050848 A CN 114050848A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/02—Details
- H04B3/46—Monitoring; Testing
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B3/00—Line transmission systems
- H04B3/54—Systems for transmission via power distribution lines
- H04B3/544—Setting up communications; Call and signalling arrangements
Abstract
The invention discloses a performance test method and an analysis method based on HPLC, wherein an electric energy meter and a concentrator are constructed into a transformer area; connecting devices in the platform area through a connecting line to obtain a first electricity utilization environment of the platform area; acquiring a network topology structure under a first power utilization environment through a concentrator, and analyzing and processing the network topology structure to obtain a first cost control success rate of each node in the network topology structure; adding an attenuation signal and a noise signal into the first electric environment to obtain a second electric environment; acquiring a network topology structure under a second electricity environment through the concentrator, analyzing and processing the network topology structure, and acquiring a second cost control success rate corresponding to each node; and traversing the n electric energy meters to obtain first data information. The method has the advantages that the power utilization experience of the user is improved by performing simulation test on the distribution room with different scenes, different user numbers and different power utilization environments.
Description
Technical Field
The invention relates to the field of low-voltage power line carrier communication, in particular to a performance testing method and an analysis method based on HPLC.
Background
At present, the charge control mode of Sichuan is mainly local charge control, along with the continuous deepening of intelligent marketing construction, more and more customers adopt a remote charge mode to replace electric card charge, and simultaneously, electricity price adjustment can carry out electricity price parameter issuing operation on an electricity meter in the universe of Sichuan every time, issuing type services are intensively executed in a large scale or frequently executed, so that great impact is caused on local communication of an electricity utilization acquisition system, and the execution of normal services such as data acquisition is influenced.
The method comprises the following steps of researching an application layer and bottom layer adaptive adaptation technology of a service module of the electricity consumption information acquisition system, channel time-frequency characteristics and service requirements supporting different priorities by combining local charge control services of Sichuan company; meanwhile, a technical method for testing and evaluating the HPLC communication performance based on the simulation test bed area is researched and is used for evaluating the HPLC communication performance and the service carrying capacity under the condition of carrying out multi-task execution in the bed areas with different scales. However, in the currently used low-voltage power line carrier system, no special test is performed on the corresponding electric energy meter, which often results in low local cost control success rate of the used electric energy meter.
In view of this, the present application is specifically made.
Disclosure of Invention
The technical problem to be solved by the invention is that the charge control success rate caused by directly accessing the electric energy meters into the low-voltage power system is low, and the invention aims to provide a performance testing method and an analysis method based on HPLC (high performance liquid chromatography), which can realize the advanced testing of each electric energy meter, select the best result from all the tested results to access the low-voltage power system for working, and improve the charge control success rate of the low-voltage power system.
The invention is realized by the following technical scheme:
a performance test method based on HPLC comprises a concentrator and n electric energy meters, and the test method comprises the following steps:
s1: selecting any one electric energy meter, and constructing the electric energy meter and the concentrator into a transformer area;
s2: connecting the devices in the platform area through a connecting wire to obtain a first electricity utilization environment of the platform area;
s3: acquiring a network topology structure under the first power consumption environment through a concentrator, and analyzing and processing the network topology structure to obtain a first cost control success rate of each node in the network topology structure;
s4: adding an attenuation signal and a noise signal into the first electric environment to obtain a second electric environment;
s5: acquiring a network topology structure under the second electricity environment through a concentrator, analyzing and processing the network topology structure, and acquiring a second cost control success rate corresponding to each node in the network topology structure;
s6: and traversing the n electric energy meters to obtain first data information, wherein the first data information comprises n first fee control success rates and n second fee control success rates.
Preferably, in step S4, the specific method for adding the attenuation signal and the noise signal to the first power utilization environment includes:
an attenuator is connected between the concentrator and the electric energy meter, and noise sources are added at different positions of a connecting line.
Preferably, the connecting line is a cable or a common wire.
Preferably, in step S2, when the devices in the platform area are connected by using the cable as the connection line, the platform area simulates a cell power environment; when devices in the transformer area are connected by adopting a common cable as a connecting line, the transformer area simulates the rural power grid electricity utilization environment.
Preferably, in step S3, the specific step of analyzing and processing the network topology includes:
in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the first cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
Preferably, in step S5, the specific step of analyzing and processing the network topology includes:
in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the second cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
Preferably, the electric energy meter comprises a single-phase electric energy meter and a three-phase electric energy meter, the three-phase electric energy meter takes 220V three-phase alternating current, and the single-phase electric energy meter takes alternating current with different phases.
Preferably, n is 100 or 200 or 300 or 400 or 500.
The invention also discloses a method for judging performance data based on HPLC, which adopts the first data obtained by the test method according to any one of claims 1 to 8 to judge, and the method comprises the following steps:
acquiring first data, wherein the first data is historically acquired data information of environmental measurement of a simulation transformer area and comprises the cost control success rate of each network level in a network topological structure counted under different conditions;
analyzing and processing each network level in the first data in a scoring and weighting mode to obtain a first model;
inputting the first data information into the first model to obtain n different scores;
and selecting the corresponding electric energy meter with the highest score from the n different scores to perform cost control operation.
Preferably, the first model is specifically:
the success rate of one level is 100%, the time consumption is 100 minutes after 3.0 seconds, and the weight is 25% after each 0.1 second increase or 0.1% decrease of the success rate and 1 minute decrease;
the success rate of the second level is 100 percent, the time consumption is 100 minutes after 4.0 seconds, and the weight is 15 percent when the success rate is increased by 0.1 second or the success rate is reduced by 0.1 percent and reduced by 2 minutes;
the success rate of the three-level is 100%, the time consumption is 100 minutes after 4.5 seconds, the success rate is reduced by 3 minutes after 0.1 second is increased or the success rate is reduced by 0.1%, and the weight is 10%;
the success rate of the four layers is 100 percent, the time consumption is 100 minutes after 5.0 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent and the success rate is reduced by 4 minutes;
the success rate of other layers is 100%, the time consumption is 100 minutes after 5.5 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the performance testing method and the performance analyzing method based on the HPLC, provided by the embodiment of the invention, through carrying out simulation test on the distribution areas with different scenes, different user numbers and different power utilization environments, a proper service scheme is evaluated, the success rate of local charge control is improved, and the power utilization experience of users is improved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other related drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a test method
FIG. 2 is a schematic diagram of a network topology before and after transformation
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known structures, circuits, materials, or methods have not been described in detail so as not to obscure the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrases "one embodiment," "an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the description of the present invention, the terms "front", "rear", "left", "right", "upper", "lower", "vertical", "horizontal", "upper", "lower", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore, should not be construed as limiting the scope of the present invention.
Example one
The embodiment provides a performance testing method based on HPLC, as shown in fig. 1, including a concentrator and n electric energy meters, the testing method includes the steps of:
s1: selecting any one electric energy meter, and constructing the electric energy meter and the concentrator into a transformer area;
in step S1 of this embodiment, the devices in the built transformer area further include an I-type concentrator, a concentrator local communication module (responsible for carrier communication), a single-phase electric energy meter, a three-phase electric energy meter, an attenuator, and a noise source, where the concentrator and the three-phase electric energy meter can adopt 220V three-phase ac power, the single-phase electric energy meter adopts ac power of different phases, and the number of the electric energy meters is 100, 200, 300, 400, and 500, respectively.
S2: connecting the devices in the platform area through a connecting wire to obtain a first electricity utilization environment of the platform area;
in the present embodiment, the connection line is a cable or a general wire. In step S2, when a cable is used as a connection line to connect devices in a distribution area, the distribution area simulates a cell power environment; when devices in the transformer area are connected by adopting a common cable as a connecting line, the transformer area simulates the rural power grid electricity utilization environment.
Aiming at simulation transformer areas with different numbers, power utilization environments of different scenes on site are simulated in different wiring modes, for example, a ground cable is used as a connecting line to simulate the power utilization environment of a cell, 10 electricity meters are connected together to simulate the centralized installation of the electricity meters, and the distance of a line is simulated in a mode of additionally installing an attenuator in the line; simulating the rural power grid power utilization environment by using a common wire as a connecting wire, independently installing all electric meters, randomly distributing the electric meters on different phases, and simulating different branches of a circuit at a proper position in a mesh circuit in a mode of additionally installing an attenuator; combining the two scenes to obtain the power utilization simulation environment for the users of the urban and rural junction;
s3: acquiring a network topology structure under the first power consumption environment through a concentrator, and analyzing and processing the network topology structure to obtain a first cost control success rate of each node in the network topology structure;
in step S3, the specific step of analyzing and processing the network topology includes: in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the first cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
S4: adding an attenuation signal and a noise signal into the first electric environment to obtain a second electric environment;
in step S4, the specific method for adding the attenuation signal and the noise signal to the first power utilization environment includes: an attenuator is connected between the concentrator and the electric energy meter, and noise sources are added at different positions of a connecting line.
Changing the electricity utilization environment of the simulation transformer area by adjusting the value of an attenuator and artificially adding a noise source, reading the changed network topological structure, counting the hierarchical relation of different nodes, analyzing the communication success rate conditions of the different nodes and peripheral nodes by power line monitoring, comparing the changes, and counting the success rate of second cost control of each node again;
s5: acquiring a network topology structure under the second electricity environment through a concentrator, analyzing and processing the network topology structure, and acquiring a second cost control success rate corresponding to each node in the network topology structure; as shown in fig. 2, for a schematic diagram of the built network topology structure, after the test environment is built and then powered on, all the communication modules of the electric energy meter and the local communication module of the concentrator are networked to form a complete network topology structure on the left side; on the right side, when the test environment changes, the network topology changes accordingly.
In step S5, the specific step of analyzing and processing the network topology includes: in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the second cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
S6: and traversing the n electric energy meters to obtain first data information, wherein the first data information comprises n first fee control success rates and n second fee control success rates.
The electric energy meters comprise single-phase electric energy meters and three-phase electric energy meters, the three-phase electric energy meters adopt 220V three-phase alternating current, the single-phase electric energy meters adopt alternating current with different phases, the electric energy meters with different numbers which can be tested are respectively connected into the established transformer area environment one by one for testing, and the steps S1-S5 are repeated until all the electric energy meters are tested, so that n first fee control success rates and n second fee control success rates are obtained and are contained in the first data information.
In the embodiment, a first cost control success rate in a noise-free and attenuation environment and a second cost control success rate in a noise-free and attenuation environment are mainly tested, and a specific noise environment and a specific attenuation environment can be used for simulating part of data lost in signal transmission in different power utilization scenes.
Example two
The embodiment discloses an analytical method of performance data based on HPLC, which adopts the first data obtained by the test method in the first embodiment for judgment, and the judgment method comprises the following steps:
acquiring first data, wherein the first data is historically acquired data information of environmental measurement of a simulation transformer area and comprises the cost control success rate of each network level in a network topological structure counted under different conditions;
analyzing and processing each network level in the first data in a scoring and weighting mode to obtain a first model;
inputting the first data information into the first model to obtain n different scores;
and selecting the corresponding electric energy meter with the highest score from the n different scores to perform cost control operation.
In the embodiment, data analysis is mainly performed on a first cost control success rate and a second cost control success rate obtained through testing in the first embodiment, a method of scoring and weighting in big data analysis processing is mainly adopted for analysis, a large amount of data is obtained through repeated testing, a communication quality empirical value similar to the actual situation of a field is obtained according to comprehensive evaluation of multiple dimensions of different electric energy meter quantities, electricity utilization environments, scheme manufacturers, attenuation situations, noise situations and the like, the optimal installation scheme is determined, and the communication success rate of the field is improved to the maximum extent; the main station grasps the real-time communication quality of the station area by combining the test data with the high-frequency acquisition function, selects the time with the best communication quality of different nodes to carry out charge control related operation, and ensures effective execution of charge control commands.
For the simulation rural power grid and urban power grid transformer area, the single scheme and the mixed loading scheme, the optimal single scheme or the mixed loading scheme is selected to adapt to the changing environment of the transformer area by establishing big data model analysis, and the cost control success rate can be stably improved to the maximum extent; urban network (rural network) big data model:
analyzing big data, namely analyzing the network by adopting a score system and weighted weight gain mode, wherein the network level is not more than 2 and 100 scores, the 3-4 grades are 80 scores, the 5-6 grades are 60 scores, the grade above 6 is not scored, and the weight of the part is 40 percent; the first model specifically comprises:
the success rate of one level is 100%, the time consumption is 100 minutes after 3.0 seconds, and the weight is 25% after each 0.1 second increase or 0.1% decrease of the success rate and 1 minute decrease;
the success rate of the second level is 100 percent, the time consumption is 100 minutes after 4.0 seconds, and the weight is 15 percent when the success rate is increased by 0.1 second or the success rate is reduced by 0.1 percent and reduced by 2 minutes;
the success rate of the three-level is 100%, the time consumption is 100 minutes after 4.5 seconds, the success rate is reduced by 3 minutes after 0.1 second is increased or the success rate is reduced by 0.1%, and the weight is 10%;
the success rate of the four layers is 100 percent, the time consumption is 100 minutes after 5.0 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent and the success rate is reduced by 4 minutes;
the success rate of other layers is 100%, the time consumption is 100 minutes after 5.5 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent.
Through big data calculation and analysis, the average score conditions of a single scheme and a change scheme of the rural power grid area under different moments, different noises and attenuation values are simulated, the highest score is selected as the basis, and the suitable combination scheme under the environment is explained.
By adopting the performance data analysis method based on HPLC provided by the embodiment, the appropriate service scheme is evaluated by performing simulation test on the distribution areas with different scenes, different user numbers and different power utilization environments, so that the local charge control success rate is improved, and the power utilization experience of the user is improved.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A performance test method based on HPLC comprises a concentrator and n electric energy meters, and is characterized in that the test method comprises the following steps:
s1: selecting any one electric energy meter, and constructing the electric energy meter and the concentrator into a transformer area;
s2: connecting the devices in the platform area through a connecting wire to obtain a first electricity utilization environment of the platform area;
s3: acquiring a network topology structure under the first power consumption environment through a concentrator, and analyzing and processing the network topology structure to obtain a first cost control success rate of each node in the network topology structure;
s4: adding an attenuation signal and a noise signal into the first electric environment to obtain a second electric environment;
s5: acquiring a network topology structure under the second electricity environment through a concentrator, analyzing and processing the network topology structure, and acquiring a second cost control success rate corresponding to each node in the network topology structure;
s6: and traversing the n electric energy meters to obtain first data information, wherein the first data information comprises n first fee control success rates and n second fee control success rates.
2. An HPLC-based performance testing method according to claim 1, wherein in step S4, the specific method for adding the attenuation signal and the noise signal to the first consumer environment is as follows:
an attenuator is connected between the concentrator and the electric energy meter, and noise sources are added at different positions of a connecting line.
3. An HPLC-based performance test method according to claim 2, wherein said connecting wire is a cable or a plain wire.
4. An HPLC-based performance testing method according to claim 3, wherein in step S2, when the devices in the platform area are connected by using cables as connecting lines, the platform area simulates the electricity environment of the cell; when devices in the transformer area are connected by adopting a common cable as a connecting line, the transformer area simulates the rural power grid electricity utilization environment.
5. An HPLC-based performance testing method according to claim 1, wherein in step S3, the specific step of analyzing and processing the network topology includes:
in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the first cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
6. An HPLC-based performance testing method according to claim 1, wherein in step S5, the specific step of analyzing and processing the network topology includes:
in the network topology structure, the hierarchical relation corresponding to each node is counted, the communication success rate of different nodes and peripheral nodes is analyzed through power line monitoring, and the second cost control success rate of each node is obtained by combining the communication quality of different node positions in the simulation environment.
7. An HPLC-based performance test method according to any one of claims 1 to 6, wherein the electric energy meter comprises a single-phase electric energy meter and a three-phase electric energy meter, the three-phase electric energy meter adopts 220V three-phase alternating current, and the single-phase electric energy meter adopts alternating current with different phases.
8. An HPLC-based performance test method as claimed in claim 7, wherein n is 100 or 200 or 300 or 400 or 500.
9. A method for analyzing performance data based on HPLC, characterized in that the first data obtained by the test method according to any one of claims 1 to 8 is used for judgment, and the judgment method comprises the steps of:
acquiring first data, wherein the first data is historically acquired data information of environmental measurement of a simulation transformer area and comprises the cost control success rate of each network level in a network topological structure counted under different conditions;
analyzing and processing each network level in the first data in a scoring and weighting mode to obtain a first model;
inputting the first data information into the first model to obtain n different scores;
and selecting the corresponding electric energy meter with the highest score from the n different scores to perform cost control operation.
10. An analytical method for HPLC-based performance data according to claim 9, wherein said first model is specifically:
the success rate of one level is 100%, the time consumption is 100 minutes after 3.0 seconds, and the weight is 25% after each 0.1 second increase or 0.1% decrease of the success rate and 1 minute decrease;
the success rate of the second level is 100 percent, the time consumption is 100 minutes after 4.0 seconds, and the weight is 15 percent when the success rate is increased by 0.1 second or the success rate is reduced by 0.1 percent and reduced by 2 minutes;
the success rate of the three-level is 100%, the time consumption is 100 minutes after 4.5 seconds, the success rate is reduced by 3 minutes after 0.1 second is increased or the success rate is reduced by 0.1%, and the weight is 10%;
the success rate of the four layers is 100 percent, the time consumption is 100 minutes after 5.0 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent and the success rate is reduced by 4 minutes;
the success rate of other layers is 100%, the time consumption is 100 minutes after 5.5 seconds, and the weight is 5 percent when the success rate is reduced by 0.1 second or 0.1 percent.
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