Quality risk collaborative electric power communication network service evaluation system and method

Abstract

The invention relates to the technical field of electric power communication, and discloses an electric power communication network service evaluation system and method with quality and risk collaboration, the system comprises a quality module, a risk module and a collaboration module, and the quality module and the risk module are both in communication connection with the collaboration module. The method corresponds to the system. According to the application, the single analysis of the quality data and the risk data is realized through the quality module and the risk module, the collaborative analysis of the quality data and the risk data is realized through the collaborative module, the simplification of the data is improved, the comprehensiveness of business evaluation is improved, and the unidirectivity of time is improved through collaborative risk data, so that the timeliness of business evaluation is improved; the index isolation is improved through the quality level, the risk level and the collaboration level, the data is simplified, and the completeness is improved. And finally, optimizing the power communication network service evaluation.

Description

Technical Field

[0001] The present application relates to the field of electric power communication technology, and specifically to a quality risk collaborative electric power communication network service evaluation system and method. Background Art

[0002] The rapid development of energy Internet has led to the transformation of more and more businesses to automation and intelligence by accessing the power communication network. Therefore, ensuring the normal operation of the power communication network that undertakes massive business has actually become an important prerequisite for ensuring the operation of the power grid. Therefore, it is necessary to conduct accurate business evaluation of the power communication network.

[0003] The inventors found the following problems in the prior art during their research on the evaluation of power communication network services:

[0004] 1. The indicators are isolated, that is, one indicator only evaluates one project, resulting in complex and incomplete data;

[0005] 2. The unidirectionality of time, that is, the current evaluation time node only evaluates the historical time, resulting in poor timeliness of business evaluation;

[0006] 3. Data homogeneity, that is, the types of data used for evaluation are too single, resulting in poor comprehensiveness of business evaluation.

[0007] In summary, the existing technology urgently needs a technical solution to optimize the evaluation of power communication network services. Summary of the invention

[0008] The purpose of this application is to provide a quality risk collaborative power communication network service evaluation system and method to solve the technical problems raised in the above background technology.

[0009] To achieve the above objectives, this application discloses the following technical solutions:

[0010] In a first aspect, the present application discloses a quality-risk collaborative power communication network service evaluation system, the system comprising a quality module, a risk module and a collaborative module;

[0011] The quality module is used to calculate the quality score based on the quality data to obtain the quality evaluation result;

[0012] The risk module is used to calculate the risk score based on the risk data to obtain the result of risk assessment;

[0013] The collaborative module is used to calculate a collaborative score based on the quality score and the risk score to obtain a collaborative evaluation result;

[0014] The quality data and the risk data are data normalized;

[0015] The quality module and the risk module are both in communication connection with the collaboration module.

[0016] Preferably, the quality data includes a quality characterization value characterizing the quality of the power communication network service and corresponding device information of the collected device.

[0017] Preferably, the quality evaluation is specifically to calculate the quality score using the quality characterization value, and evaluate the quality of the power communication network service based on the quality score; the calculation formula of the quality score is:

[0018]

[0019] Among them, QS is the calculated quality score, SS is the signal strength of the device, ER is the bit error rate of the device, and TD is the delay of the encoding device.

[0020] Preferably, the result of the quality evaluation is specifically a quality grade obtained by using the quality score, and the quality grade is used to guide the maintenance of the power communication network.

[0021] Preferably, the risk data includes a risk characterization value characterizing the risk of the power communication network service and corresponding device information of the collected device.

[0022] Preferably, the risk assessment is specifically to calculate a risk score using the risk characterization value, and to evaluate the risk of the power communication network service based on the risk score; the calculation formula of the risk assessment is:

[0023]

[0024] Among them, RS is the calculated risk score, EF is the equipment failure risk rate of the device, NA is the network attack risk rate of the device, HO is the human operation risk rate of the device, CLI is the communication link interruption risk rate of the device, [t1, t2] is the preset risk observation period, It means that the integrals in the risk observation period are calculated based on EF, NA, HO and CLI respectively and summed.

[0025] Preferably, the result of the risk assessment is specifically a risk level obtained by using the risk score, and the risk level is used to guide the maintenance of the power communication network.

[0026] Preferably, the collaborative evaluation is specifically to calculate the collaborative score using the quality score and the risk score, and to evaluate the quality and risk collaboratively of the power communication network service based on the collaborative score; wherein the collaborative evaluation is used to evaluate the communication network service at the time node T2, and the corresponding quality data is collected by the equipment during the period T1 to T2, and the corresponding risk data is collected by the equipment during the period T2 to T3; the calculation formula of the collaborative score is:

[0027]

[0028] Among them, QRS is the calculated collaboration score, RS is the risk score corresponding to the equipment, and QS is the quality score corresponding to the equipment.

[0029] Preferably, the result of the collaborative evaluation is specifically a collaborative level obtained by using the collaborative scoring, and the collaborative level is used to guide the maintenance of the power communication network.

[0030] In a second aspect, the present application discloses a quality risk collaborative power communication network service evaluation method, which is applicable to the quality risk collaborative power communication network service evaluation method as described above, and the method includes:

[0031] Step 1: Calculate the quality score based on the quality data to obtain the quality evaluation result;

[0032] Step 2: Calculate the risk score based on the risk data to obtain the risk assessment result;

[0033] Step 3: Calculate a collaborative score based on the quality score and the risk score to obtain a collaborative evaluation result.

[0034] Beneficial effects: The quality-risk collaborative power communication network business evaluation system and method of the present application realizes single analysis of quality data and risk data through the quality module and the risk module, and realizes collaborative analysis of quality data and risk data through the collaborative module, thereby improving the singularity of data and the comprehensiveness of business evaluation. The collaborative risk data improves the unidirectionality of time, thereby improving the timeliness of business evaluation. The indicators are isolated by improving the quality level, risk level and collaborative level, simplifying the data and improving its completeness, thereby realizing the optimization of power communication network business evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 A structural block diagram of a quality risk collaborative power communication network service evaluation system provided in an embodiment of the present application;

[0037] Figure 2 A flowchart of a quality risk collaborative power communication network service evaluation method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0039] In this article, the term "comprising" is 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 includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0040] The first aspect of this embodiment discloses Figure 1 A quality-risk collaborative power communication network business evaluation system, the system includes a quality module, a risk module and a collaborative module;

[0041] The quality module is used to calculate the quality score based on the quality data and obtain the quality evaluation result;

[0042] The risk module is used to calculate the risk score based on the risk data and obtain the risk assessment results;

[0043] The collaborative module is used to calculate collaborative scores based on quality scores and risk scores to obtain collaborative evaluation results;

[0044] The quality data and risk data are data after data normalization; it should be noted that the data normalization technology used in this embodiment is a data normalization technology well known to those skilled in the art, and is intended to eliminate the influence of different dimensions on data analysis.

[0045] Both the quality module and the risk module are in communication connection with the collaboration module.

[0046] This embodiment uses the quality module to analyze the quality data to obtain the quality score and the corresponding quality level, and uses the risk module to analyze the risk data to obtain the risk score and the corresponding risk level. Therefore, accurate single-item evaluation of the power communication network service is guaranteed, and an accurate data basis is provided for collaborative evaluation. Furthermore, the collaborative module implements collaborative analysis of quality data and risk data to obtain collaborative scores and corresponding collaborative levels. Therefore, the time unidirectionality and data unification of the evaluation of the power communication network service are improved. Combining the quality level, risk level and collaborative level, the isolation of the indicators of the power communication network service is improved. With the above, this embodiment optimizes the evaluation of the power communication network service.

[0047] Specifically, the quality data includes a quality characterization value characterizing the quality of the power communication network service and corresponding device information of the collected device.

[0048] In this embodiment, the quality data is used to characterize the quality status of the power communication network. Based on the common knowledge of those skilled in the art and the corresponding data collection method, the quality characterization value includes at least signal strength, bit error rate, delay, bandwidth utilization and equipment availability.

[0049] Through the above, by collecting quality characterization values ​​and corresponding equipment information, an accurate data basis is provided for quality evaluation.

[0050] Specifically, the quality evaluation is to calculate the quality score using the quality characterization value, and evaluate the quality of the power communication network service based on the quality score; the calculation formula of the quality score is:

[0051]

[0052] Among them, QS is the calculated quality score, SS is the signal strength of the device, ER is the bit error rate of the device, and TD is the delay of the encoding device.

[0053] In one implementation, the specific process of calculating the quality score of the device numbered x is as follows:

[0054]

[0055] Where x is the equipment number when quality data is collected, and formula (1) is the quality score calculation formula for equipment numbered x, QS x The quality score of the device numbered x, SS x is the signal strength of the device numbered x, ER x is the bit error rate of the device numbered x, TD x is the delay of the device numbered x, and formula (2) is the quality score calculation formula for the power communication network, QS all Score the quality of the power communication network, is the average quality score of the equipment in the power communication network, BUR is the bandwidth utilization rate of the power communication network, and EA is the equipment availability rate of the power communication network. In this regard, this embodiment realizes the quality evaluation of each equipment and the comprehensive quality evaluation of the power communication network through the quality scoring formula, and provides a data basis for collaborative evaluation.

[0056] Specifically, the result of the quality evaluation is a quality grade obtained by using the quality score, and the quality grade is used to guide the maintenance of the power communication network.

[0057] In this embodiment, a quality score conversion table is preset based on the common knowledge of those skilled in the art. The table stores conversion rules for converting quality scores into quality grades. Furthermore, the quality grades are used to provide guidance to staff in carrying out maintenance of the power communication network.

[0058] Through the above, the quality scores and quality grades are used to achieve a comprehensive evaluation of the quality of the power communication network and the transformation of its guiding significance, which ensures the integrity of the evaluation and provides data support for the unification of improvement indicators.

[0059] Specifically, the risk data includes a risk characterization value that characterizes the risk of the power communication network service and the corresponding device information of the collected device.

[0060] In this embodiment, the risk data is used to characterize the risk status of the power communication network. Based on the common knowledge of those skilled in the art and the corresponding data acquisition method, the risk characterization value includes at least the equipment failure risk rate, the network attack risk rate, the human operation risk rate and the communication link interruption risk rate.

[0061] Through the above, by obtaining the second data value and the corresponding second device, an accurate data basis is provided for risk assessment.

[0062] Specifically, the risk assessment is to calculate the risk score using the risk characterization value, and evaluate the risk of the power communication network service based on the risk score; the calculation formula of the risk assessment is:

[0063]

[0064] Among them, RS is the calculated risk score, EF is the equipment failure risk rate of the device, NA is the network attack risk rate of the device, HO is the human operation risk rate of the device, CLI is the communication link interruption risk rate of the device, [t1, t2] is the preset risk observation period, It means that the integrals in the risk observation period are calculated based on EF, NA, HO and CLI respectively and summed.

[0065] In one implementation, the specific process of calculating the risk score for the device numbered y is as follows:

[0066]

[0067] Where y is the device number when risk data is collected, and formula (3) is the risk score calculation formula for the device numbered y. RS y is the risk score of the device numbered y, α is the substitution symbol, EF y is the equipment failure risk rate of equipment numbered y, NA y is the network attack risk rate of the device numbered y, HO y is the risk rate of human operation of the device numbered y, CLI y is the communication link interruption risk rate of the device numbered y, [t1, t2] is the preset risk observation period that can be obtained empirically by those skilled in the art, Indicates that the substitution into EF y ,NA y , HO y and CLI y The sum of the respective integrals in the risk observation period is used to characterize the risk score of the device numbered y. Formula (4) is the risk score calculation formula for the power communication network, RS all Score the risk of the power communication network, N y is the number of devices, RS y_τ is the risk score threshold of the device numbered y that can be obtained empirically by those skilled in the art, max[0,(RS y -RS y_τ )] means to convert (RS y -RS y_τ ) is compared with 0 and the larger value is taken, that is, (RS y -RS y_τ ) is a positive result. The physical meaning of this result is that the risk score of the device numbered y is greater than the preset risk score threshold of the device numbered y. ∑max[0,(RS y -RS y_τ )] indicates that (RS y -RS y_τ) is compared with 0 and the larger value is taken, that is, (RS y -RS y_τ ) is a positive number. In this regard, this embodiment realizes the risk assessment of each device and the comprehensive risk assessment of the power communication network through the risk scoring formula, and provides a data basis for collaborative evaluation.

[0068] Specifically, the result of the risk assessment is a risk level obtained by using a risk score, and the risk level is used to guide the maintenance of the power communication network.

[0069] In this embodiment, a risk score level conversion table is preset based on the common knowledge of technical personnel in this field. The table stores the conversion rules for converting risk scores into risk levels. Furthermore, the risk levels are used to guide the staff in carrying out power communication network maintenance.

[0070] Through the above, a comprehensive evaluation of the risks of the power communication network and the transformation of guiding significance are achieved through risk scoring and risk level, which ensures the integrity of the evaluation and provides data support for improving the unification of indicators.

[0071] Specifically, the collaborative evaluation is to calculate the collaborative score using the quality score and the risk score, and to evaluate the quality and risk collaboratively of the power communication network service based on the collaborative score; wherein the collaborative evaluation is used to evaluate the communication network service at the time node T2, and the corresponding quality data is collected by the equipment during the period T1 to T2, and the corresponding risk data is collected by the equipment during the period T2 to T3; the calculation formula of the collaborative score is:

[0072]

[0073] Among them, QRS is the calculated collaboration score, RS is the risk score corresponding to the equipment, and QS is the quality score corresponding to the equipment.

[0074] Based on the quality scores and risk scores of the devices numbered x and y, in one embodiment, the calculation process of the collaborative score for the devices is specifically as follows:

[0075]

[0076] Wherein, formula (5) is the collaborative scoring calculation formula for the device corresponding to x=y (i.e., the calculated quality score and risk score correspond to the same device), QRS x＝y is the collaborative score of the device corresponding to x=y, QRS allis the collaborative score of the power communication network. In this regard, this embodiment realizes the correction of the quality score based on the risk score, that is, collaborative evaluation. It should be noted that the same numbering rule is used for the devices in this embodiment. When x=y, it means that the devices corresponding to the numbers are the same device.

[0077] Specifically, the result of the collaborative evaluation is a collaborative level obtained by using the collaborative scoring, and the collaborative level is used to guide the maintenance of the power communication network.

[0078] In this embodiment, a collaborative scoring level conversion table is preset based on the common knowledge of those skilled in the art. The table stores conversion rules for converting collaborative scores into collaborative levels. Furthermore, the collaborative levels are used to provide guidance to staff in carrying out power communication network maintenance.

[0079] Through the above, collaborative evaluation and transformation of guiding significance of the quality and risk of the power communication network are realized through collaborative scoring and collaborative level, which improves the integrity of the evaluation and provides data support for improving the unification of indicators.

[0080] In a second aspect, this embodiment discloses Figure 2 A quality risk collaborative power communication network service evaluation method is shown, which is applicable to the quality risk collaborative power communication network service evaluation method as described above, and the method includes:

[0081] Step 1: Calculate the quality score based on the quality data to obtain the quality evaluation result;

[0082] Step 2: Calculate the risk score based on the risk data to obtain the risk assessment result;

[0083] Step 3: Calculate the collaborative score based on the quality score and risk score to obtain the collaborative evaluation result.

[0084] It should be noted that the quality risk collaborative power communication network business evaluation method of this embodiment corresponds to the quality risk collaborative power communication network business evaluation system in the previous text. Therefore, the content not specifically described in the quality risk collaborative power communication network business evaluation method of this embodiment may include but is not limited to functional definition, working principle and technical effect, etc., which are the same as the quality risk collaborative power communication network business evaluation system in the previous text and will not be elaborated in this text.

[0085] In summary, the quality-risk collaborative power communication network business evaluation system and method of the present embodiment realizes single analysis of quality data and risk data through the quality module and the risk module, and realizes collaborative analysis of quality data and risk data through the collaborative module, thereby improving the singularity of data and the comprehensiveness of business evaluation. The collaborative risk data improves the unidirectionality of time, thereby improving the timeliness of business evaluation. The indicators are isolated by improving the quality level, risk level and collaborative level, simplifying the data and improving its completeness, thereby realizing the optimization of power communication network business evaluation.

[0086] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0087] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A quality risk collaborative power communication network service evaluation system, characterized in that: The system includes a quality module, a risk module, and a collaboration module; The quality module is used to calculate the quality score based on the quality data to obtain the quality evaluation result; The risk module is used to calculate the risk score based on the risk data to obtain the result of risk assessment; The collaborative module is used to calculate a collaborative score based on the quality score and the risk score to obtain a collaborative evaluation result; The quality data and the risk data are data normalized; The quality module and the risk module are both in communication connection with the collaboration module.

2. The quality risk collaborative power communication network service evaluation system according to claim 1 is characterized in that: The quality data includes a quality characterization value characterizing the quality of the power communication network service and corresponding device information of the collected device.

3. The quality risk collaborative power communication network service evaluation system according to claim 2 is characterized in that: The quality evaluation specifically comprises calculating the quality score using the quality characterization value, and evaluating the quality of the power communication network service based on the quality score; the calculation formula of the quality score is: Among them, QS is the calculated quality score, SS is the signal strength of the device, ER is the bit error rate of the device, and TD is the delay of the encoding device.

4. The quality risk collaborative power communication network service evaluation system according to claim 3 is characterized in that: The result of the quality evaluation is specifically a quality grade obtained by using the quality score, and the quality grade is used to guide the maintenance of the power communication network.

5. The quality risk collaborative power communication network service evaluation system according to claim 1 is characterized in that: The risk data includes a risk characterization value characterizing the risk of the power communication network service and corresponding device information of the collected device.

6. The quality risk collaborative power communication network service evaluation system according to claim 5 is characterized in that: The risk assessment specifically comprises calculating a risk score using the risk characterization value, and evaluating the risk of the power communication network service based on the risk score; the calculation formula of the risk assessment is: Among them, RS is the calculated risk score, EF is the equipment failure risk rate of the device, NA is the network attack risk rate of the device, HO is the human operation risk rate of the device, CLI is the communication link interruption risk rate of the device, [t1, t2] is the preset risk observation period, It means that the integrals in the risk observation period are calculated based on EF, NA, HO and CLI respectively and summed.

7. The quality risk collaborative power communication network service evaluation system according to claim 6 is characterized in that: The result of the risk assessment is specifically a risk level obtained by using the risk score, and the risk level is used to guide the maintenance of the power communication network.

8. The quality risk collaborative power communication network service evaluation system according to claim 1 is characterized in that: The collaborative evaluation specifically uses the quality score and the risk score to calculate the collaborative score, and based on the collaborative score, performs a quality and risk collaborative evaluation on the power communication network service; wherein the collaborative evaluation is used to evaluate the communication network service at the time node T2, and the corresponding quality data is collected by the equipment during the period T1 to T2, and the corresponding risk data is collected by the equipment during the period T2 to T3; the calculation formula of the collaborative score is: Among them, QRS is the calculated collaboration score, RS is the risk score corresponding to the equipment, and QS is the quality score corresponding to the equipment.

9. The quality risk collaborative power communication network service evaluation system according to claim 1, characterized in that: The result of the collaborative evaluation is specifically a collaborative level obtained by using the collaborative scoring, and the collaborative level is used to guide the maintenance of the power communication network.

10. A quality risk collaborative power communication network service evaluation method, the method is applicable to the quality risk collaborative power communication network service evaluation method as claimed in any one of claims 1 to 9, characterized in that: The method includes: Step 1: Calculate the quality score based on the quality data to obtain the quality evaluation result; Step 2: Calculate the risk score based on the risk data to obtain the risk assessment result; Step 3: Calculate a collaborative score based on the quality score and the risk score to obtain a collaborative evaluation result.

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