Evaluation method of electricity consumption information acquisition terminal

Abstract

The invention relates to the technical field of electric power operation and maintenance, in particular to an evaluation method of an electricity consumption information acquisition terminal, which comprises the following steps: establishing a scoring model for evaluating the acquisition terminal; obtaining a score weight of each working state index under different working scene labels; and acquiring a current working scene label and a working state index of the acquisition terminal, wherein the working state index comprises an acquisition success rate, an acquisition timeliness rate, an online rate and communication delay of a daily freezing curve indicating value of the acquisition terminal. According to different working scenes and requirements of the acquisition terminal, the acquisition success rate, the acquisition timeliness rate, the online rate and the core operation parameters of the communication delay of the daily freezing curve indicating value of the acquisition terminal are scored in a targeted manner, so that the confidence probability of the scoring of the acquisition terminal is obviously improved; a subsequent operator can perform subsequent operation and maintenance and subsequent equipment type selection in a targeted manner according to the score of the acquisition terminal in a specific working scene, and the score guidance is relatively high.

Description

Technical Field

[0001] The present application relates to the technical field of power operation and maintenance, and in particular to an evaluation method for a power consumption information collection terminal. Background Art

[0002] In the power system, there are many quantifiable indicators for the terminal equipment used to collect electricity information, such as type, manufacturer, reliability, and price. After deploying a new terminal, the collection system needs to evaluate its operating status and scenario adaptability to guide operation and maintenance and subsequent scenario selection and adaptation. In existing technologies, the evaluation accuracy of the terminal under the collection system is not high, and its guidance for the subsequent operation and maintenance of the collection system and the selection of equipment for different scenarios is not high. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the present application provides an evaluation method for electricity consumption information collection terminals. According to the different working scenarios and requirements of the collection terminals, the core operating parameters of the daily freezing curve indications of the collection terminals, such as the collection success rate and collection timeliness rate, online rate and communication delay, are targetedly scored, which significantly improves the confidence probability of the collection terminal scores. Subsequent operators can carry out subsequent operation and maintenance and subsequent equipment selection in a targeted manner based on the scores of the collection terminals in specific working scenarios. The scoring is highly instructive.

[0004] The above-mentioned application objectives of this application are achieved through the following technical solutions: A method for evaluating an electricity consumption information collection terminal comprises the following steps: Establish a scoring model for evaluating acquisition terminals; Obtain the scoring weights of each work status indicator under different work scenario labels; Obtain the current working scene label and working status indicators of the collection terminal, wherein the working status indicators include the collection success rate and collection timeliness rate of the daily freezing curve indicated by the collection terminal, the online rate, and the communication delay; Match the scoring weight based on the work scenario label of the current acquisition terminal; The scoring model scores the current collection terminal based on the matched evaluation weight and the current working status indicators of the collection terminal.

[0005] Optionally, the work scene label matching score weight based on the current acquisition terminal includes: Obtain the current ambient temperature range, characteristic ambient temperature, characteristic ambient humidity, and exposure status of the acquisition terminal; Match the work scene label based on the current acquisition terminal's ambient temperature range, characteristic ambient temperature, characteristic ambient humidity, and exposure status; Based on the matched work scene label, obtain the scoring weight under the current work scene label.

[0006] Optionally, scoring the current collection terminal includes the following steps: Normalize the working status indicators of the current acquisition terminal; Based on the obtained scoring weights, the normalized work status indicators are weighted and summed.

[0007] Optionally, normalizing the working status indicator of the current acquisition terminal includes: Get the task type tag and task quantity tag of the current acquisition terminal; According to the task type label and task quantity label of the current collection terminal, match the maximum and minimum values ​​of the working status indicator sample interval of the current collection terminal under the current working scenario label; The working status indicator of the current acquisition terminal is normalized according to the maximum value and the minimum value of the sample interval obtained.

[0008] Optionally, normalizing the working status indicator of the current acquisition terminal further includes: Classify the working status indicators of the collection terminal according to their positivity and negativity; The working status indicators are normalized based on the positivity and negativity of the working status indicators of the acquisition terminal.

[0009] Optionally, the following steps are also included: Get the score threshold of the current acquisition terminal under the current scene label; Determine whether the current collection terminal score is lower than the threshold.

[0010] Optionally, the following steps are also included: Get the manufacturer information tag and type tag of the acquisition terminal; Based on the ratings of the acquisition terminals, obtain the ranking of the vendor information tags of the same type of acquisition terminals.

[0011] Optionally, the following steps are also included: Obtain ranking data of manufacturer information tags in different types of collection terminals; Sum the weighted values ​​of the ranking data of the manufacturer information tags in different types of collection terminals, where the weight is the proportion of the number of devices with the manufacturer information tags; Rank different manufacturer information tags.

[0012] In summary, this application has the following beneficial technical effects: Based on the different working scenarios and requirements of the collection terminal, the core operating parameters of the collection terminal, such as the collection success rate and collection timeliness rate, online rate and communication delay of the daily freezing curve indication, are scored in a targeted manner, which significantly improves the confidence probability of the collection terminal score. Subsequent operators can carry out subsequent operation and maintenance and subsequent equipment selection based on the score of the collection terminal in a specific working scenario. The scoring is highly instructive. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of an embodiment of the present application. DETAILED DESCRIPTION

[0014] The following is combined with Figure 1 This application is described in further detail.

[0015] An embodiment of the present application provides an evaluation method for an electricity consumption information collection terminal, which is applied to an electricity collection system. The electricity collection system includes an upper-level collection system, which has several concentrators under it, and the concentrators have several collection terminals under them. The data of the collection terminals are transmitted to the upper-level collection system through the concentrators.

[0016] The method comprises the following steps: Step S101: establishing a scoring model for evaluating each collection terminal in the power collection system; Step S102: Obtain the scoring weights of various work status indicators under different work scenario tags; Step S103: obtaining the current working scene label and working status indicators of the acquisition terminal, wherein the working status indicators include the acquisition success rate and the acquisition timeliness rate, the online rate, and the communication delay of the daily freezing curve indication of the acquisition terminal; Step S104: matching scoring weights based on the work scene label of the current acquisition terminal; Step S105: The scoring model scores the current collection terminal based on the matched evaluation weight and the current working status indicators of the collection terminal.

[0017] The following is a further introduction based on specific usage scenarios.

[0018] First, step S101 is performed to establish a scoring model for evaluating each collection terminal in the power collection system. The hardware resources of the power collection system are valuable, so a lightweight scoring model is required. In this embodiment of the application, a weighted sum model is used. Then, step S102 is executed to obtain the scoring weights of the various working status indicators under different working scene labels. The scoring weights may be scoring weight parameters pre-stored in the collection system. It should be understood that different installation locations of the collection terminals will inevitably lead to different working scene environments. The working scene labels described in the embodiments of the present application are also the typical environments of the working scenes in which the collection terminals are located. They are constructed by combining multiple single environmental indicators and the reliability requirements of the collection system. For example, a high-temperature exposure environment with low humidity and high reliability is required, and a high-temperature environment with high humidity and high accuracy is required. In step S103, the current working scenario label and working status index of the current collection terminal are obtained, that is, the working scenario label and working status index data of the collection terminal to be scored are obtained. The working status index includes the collection success rate and collection timeliness rate, online rate, and communication delay indicated by the daily freezing curve of the collection terminal. The collection success rate and collection timeliness rate, online rate, and communication delay indicated by the daily freezing curve of the collection terminal are indicators for measuring the performance and reliability of the collection terminal. Next, step S104 is executed to match the scoring weight based on the work scenario label of the current acquisition terminal. The scoring weights under different work scenario labels are different. For example, under a work scenario label with high reliability requirements, the scoring weights of the online rate and acquisition success rate of the acquisition terminal are higher. Under a work scenario label with high accuracy requirements, the scoring weight of the acquisition success rate of the acquisition terminal is higher. Finally, step S105 is executed. The scoring model scores the current acquisition terminal based on the matched evaluation weights and the current working status indicators of the acquisition terminal. That is, the obtained evaluation weights are assigned to the corresponding working status indicator values, and a weighted sum is performed to output the scoring result.

[0019] It can be found that in the embodiment of the present application, by performing targeted scoring on the core operating parameters of the acquisition terminal, such as the acquisition success rate and acquisition timeliness rate, online rate and communication delay of the daily freezing curve indication of the acquisition terminal, according to the different working scenarios and requirements of the acquisition terminal, the confidence probability of the acquisition terminal score is significantly improved. Subsequent operators can carry out subsequent operation and maintenance and subsequent equipment selection in a targeted manner based on the score of the acquisition terminal in a specific working scenario, and the scoring is highly instructive.

[0020] As a feasible specific implementation of the embodiment of the present application, the matching scoring weight based on the work scene label of the current acquisition terminal includes the following steps: Step S201: Obtain the ambient temperature range, characteristic ambient temperature, characteristic ambient humidity and exposure status of the current acquisition terminal, wherein: The ambient temperature range is the maximum and minimum temperature of the current acquisition terminal's working environment. This indicator can measure the temperature tolerance of the acquisition terminal; The characteristic ambient temperature is also known as the typical ambient temperature, which mainly considers the temperature that the acquisition terminal needs to withstand in the current working environment. The characteristic ambient humidity is also known as the typical ambient humidity, which mainly considers the humidity that the acquisition terminal needs to withstand in the current working environment. The exposure status refers to whether the data acquisition terminal is blocked in the current working environment, which can measure the weather resistance of the data acquisition terminal; As for other performance indicators of the acquisition terminal, they are not core performance indicators. Step S202: obtaining the working requirements of the current acquisition terminal, for example, whether the acquisition system requires the working requirements of the current acquisition terminal to be stability, reliability, high accuracy or fast response; Step S203: matching a work scene label based on the ambient temperature range, characteristic ambient temperature, characteristic ambient humidity, exposure state, and work requirements of the current acquisition terminal; Step S204: Based on the matched work scene tag, obtain the scoring weight under the current work scene tag to provide the scoring weight for subsequent scoring.

[0021] Through the above steps, different scoring weights are provided for different working scenarios of the collection terminal, which significantly improves the confidence probability of the collection terminal score.

[0022] As a feasible specific implementation method of the embodiment of the present application, when scoring the current collection terminal, the following steps are also included: Step S301: normalizing the working status indicator of the current acquisition terminal; Step S302: Based on the obtained scoring weights, perform weighted summation on the normalized working status indicators.

[0023] By normalizing the working status indicators, the collection terminals can be comprehensively scored, providing a ranking benchmark for subsequent collection terminal scoring.

[0024] In some possible implementations of the embodiments of the present application, normalizing the working status indicator of the current acquisition terminal may include the following steps: Step S401: Obtain the task type tag and task quantity tag of the current acquisition terminal; Step S402: matching the maximum and minimum values ​​of the working status indicator sample interval of the current collecting terminal under the current working scenario label according to the task type label and the task quantity label of the current collecting terminal; Step S403: normalizing the working status indicator of the current acquisition terminal according to the maximum value and the minimum value of the sample interval obtained.

[0025] Depending on the type and number of tasks of the collection terminal, the sample intervals provided for normalizing the working status indicators of the collection terminal are also different, which further improves the pertinence and confidence probability of the collection terminal scoring. The scoring is highly instructive for subsequent operation and maintenance and subsequent equipment selection.

[0026] In some possible implementations of the embodiments of the present application, normalizing the working status indicator of the current acquisition terminal further includes: The working status indicators of the collection terminals are classified according to their positivity and negativity. For example, among the core working status indicators of the collection terminals provided in the embodiments of the present application, the working status indicators include the online rate of the collection terminals, the collection success rate of the daily freezing curve indication, and the collection timeliness rate, which are positive indicators, and the communication delay is a negative indicator. The working status indicators of the collection terminal are normalized based on their positivity and negativity, which further improves the pertinence and confidence probability of the collection terminal scoring.

[0027] As a feasible specific implementation method of the embodiment of the present application, the following steps are also included: Step S501: Obtain the score threshold of the current acquisition terminal under the current scene label, that is, the minimum tolerable score of the acquisition terminal under the current working scene label; Step S502: Determine whether the current acquisition terminal score is lower than a threshold. When the acquisition terminal score is lower than the threshold, the acquisition system may issue an alarm to the operator to quickly guide operation and maintenance.

[0028] As a feasible specific implementation method of the embodiment of the present application, the following steps are also included: Step S601: Obtain the manufacturer information tag and type tag of the acquisition terminal; Step S602: Based on the scores of the collection terminals, the ranking of the vendor information tags of the collection terminals of the same type is obtained.

[0029] In this way, the collection system can rank the collection terminals provided by different manufacturers among the same type of collection terminals, screen out the adaptability of the collection terminals provided by different manufacturers in the current working scenario, further improve the targetedness of the collection terminal scoring, and the scoring is highly instructive for subsequent equipment selection.

[0030] On this basis, the following steps are also included: Step S603: Obtain ranking data of manufacturer information tags in different types of collection terminals; Step S604: Sum the weighted values ​​of the ranking data of the manufacturer information tags of different types of collection terminals, where the weighted value is the proportion of the number of devices with the manufacturer information tags; Step S605: rank different manufacturer information tags.

[0031] In this way, the collection system can summarize various types of collection terminals provided by different manufacturers, so as to derive the adaptability of the collection terminals provided by a certain manufacturer. When the scores of various types of collection terminals provided by certain manufacturers are ranked low, the equipment labeled by that manufacturer can be optimized subsequently, which further improves the targetedness of the collection terminal scores. The scores are highly instructive for subsequent equipment selection.

[0032] The embodiments of this specific implementation method are all preferred embodiments of the present application and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for evaluating an electricity consumption information collection terminal, characterized in that: Establish a scoring model for evaluating acquisition terminals; Obtain the scoring weights of each work status indicator under different work scenario labels; Obtain the current working scene label and working status indicators of the collection terminal, wherein the working status indicators include the collection success rate and collection timeliness rate of the daily freezing curve indicated by the collection terminal, the online rate, and the communication delay; Match the scoring weight based on the work scenario label of the current acquisition terminal; The scoring model scores the current collection terminal based on the matched evaluation weight and the current working status indicators of the collection terminal.

2. The method for evaluating an electricity consumption information collection terminal according to claim 1, characterized in that: The work scene label matching score weight based on the current acquisition terminal includes: Obtain the current ambient temperature range, characteristic ambient temperature, characteristic ambient humidity, and exposure status of the acquisition terminal; Match the work scene label based on the current acquisition terminal's ambient temperature range, characteristic ambient temperature, characteristic ambient humidity, and exposure status; Based on the matched work scene label, obtain the scoring weight under the current work scene label.

3. The method for evaluating an electricity consumption information collection terminal according to claim 2, characterized in that: Scoring the current acquisition terminal includes: Normalize the working status indicators of the current acquisition terminal; Based on the obtained scoring weights, the normalized work status indicators are weighted and summed.

4. The method for evaluating an electricity consumption information collection terminal according to claim 3, characterized in that: Normalizing the working status indicators of the current acquisition terminal includes: Get the task type tag and task quantity tag of the current acquisition terminal; According to the task type label and task quantity label of the current collection terminal, match the maximum and minimum values ​​of the working status indicator sample interval of the current collection terminal under the current working scenario label; The working status indicator of the current acquisition terminal is normalized according to the maximum value and the minimum value of the sample interval obtained.

5. The method for evaluating an electricity consumption information collection terminal according to claim 4, characterized in that: Normalizing the working status indicators of the current acquisition terminal also includes: Classify the working status indicators of the collection terminal according to their positivity and negativity; The working status indicators are normalized based on the positivity and negativity of the working status indicators of the acquisition terminal.

6. The method for evaluating an electricity consumption information collection terminal according to claim 1, characterized in that: Also includes: Get the score threshold of the current acquisition terminal under the current scene label; Determine whether the current collection terminal score is lower than the threshold.

7. The method for evaluating a power consumption information collection terminal according to claim 1, characterized in that: Also includes: Get the manufacturer information tag and type tag of the acquisition terminal; Based on the ratings of the acquisition terminals, obtain the ranking of the vendor information tags of the same type of acquisition terminals.

8. The method for evaluating a power consumption information collection terminal according to claim 7, characterized in that: Also includes: Obtain ranking data of manufacturer information tags in different types of collection terminals; Sum the weighted values ​​of the ranking data of the manufacturer information tags in different types of collection terminals, where the weight is the proportion of the number of devices with the manufacturer information tags; Rank different manufacturer information tags.

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