CN113114539A - Advanced evaluation method of intelligent networking equipment - Google Patents

Advanced evaluation method of intelligent networking equipment Download PDF

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CN113114539A
CN113114539A CN202110422589.4A CN202110422589A CN113114539A CN 113114539 A CN113114539 A CN 113114539A CN 202110422589 A CN202110422589 A CN 202110422589A CN 113114539 A CN113114539 A CN 113114539A
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陈勇
方国彬
张伟嘉
王金龙
何议芳
李云
曾勇
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Chengdu Fuma Zhixing Technology Co ltd
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Abstract

The invention discloses an advanced evaluation method of intelligent networking equipment, which comprises the following steps: analyzing the function and performance of the intelligent networking equipment, and selecting a plurality of primary indexes and a plurality of secondary indexes corresponding to the primary indexes; establishing an evaluation model of the equipment advancement and an evaluation model of a primary index in a weighted summation mode; constructing a weight judgment matrix according to a pairwise comparison method, and determining the weight of the index; dividing the grade number corresponding to the secondary indexes, and performing multi-grade judgment on the secondary indexes by using an expert judgment method; quantitatively assigning by adopting a mode of combining fixed assignment and interval assignment aiming at the evaluation result, and establishing a quantitative function relation between the evaluation value and the corresponding quantized value; and calculating a secondary index evaluation value, a primary index evaluation value and an equipment advancement evaluation value, and evaluating the advancement of the intelligent network connection equipment according to the equipment advancement evaluation value. And a more objective evaluation result can be obtained by a mode of combining qualitative evaluation and quantitative evaluation through multi-stage judgment and assignment calculation.

Description

Advanced evaluation method of intelligent networking equipment
Technical Field
The invention relates to the field of advancement evaluation, in particular to an advancement evaluation method of intelligent networking equipment.
Background
At present, the vehicle mainly improves the perception capability of the vehicle through an advanced driving auxiliary system so as to adapt to the change of traffic environment. However, the effectiveness of advanced driving assistance systems in extreme situations such as severe weather is greatly reduced due to limitations of cost, technology, and the like. The Vehicle-to-Vehicle combination V2X (Vehicle-to-electric) technology developed based on the wireless communication technology enhances the interaction capacity between vehicles and road infrastructure, can provide more various traffic service scenes, and can improve the reliability of the sensing result by matching with an advanced driving assistance system.
In the field of vehicle-road cooperation, the types of intelligent networking equipment mainly include an intelligent networking on-Board unit (OBU) and an intelligent networking Side unit (RSU) (road Side unit). The intelligent network connection equipment is used as a new thing in the internet of vehicles era, only basic functional requirements of the intelligent network connection equipment are specified in related standards at present, and the intelligent network connection equipment needs to be evaluated to select proper equipment for deployment in the process of developing a vehicle-road cooperation demonstration project. The current scheme is subjectively selected by project personnel, or products of top companies in the industry are selected, so that the cost is high; or selecting a product that is inexpensive, there may be large variations in quality. For example, not all devices support OTA (Over the Air) technology. The intelligent network equipment is urgently needed to be comprehensively and accurately evaluated, so that the evaluation indexes and the evaluation process are very important. The prior scheme mainly has the following defects: the quality and the function of equipment produced by different manufacturers are different, and project personnel are difficult to compare comprehensively; secondly, few quantization factors are generated in the evaluation process; the randomness is large in the evaluation process, and evaluation results of different project personnel on the same equipment may have large differences.
Disclosure of Invention
In order to make the evaluation process comprehensive and accurate and reduce the randomness of the evaluation process, the invention provides an advanced evaluation method of intelligent network connection equipment. The evaluation method comprises the following steps: analyzing the functions and performances of the intelligent networking equipment, and selecting a plurality of primary indexes and a plurality of secondary indexes corresponding to the primary indexes, wherein the functions and performances comprise a message receiving and sending function, an interconnection communication function, a positioning function, an upgrading maintenance function and an environment adaptation performance; establishing an evaluation model of the equipment advancement and an evaluation model of the primary index in a weighted summation mode; constructing a weight judgment matrix according to a pairwise comparison method, and determining the weight of the index; dividing the grade number corresponding to the secondary indexes, and performing multi-grade judgment on the secondary indexes by using an expert judgment method; quantitatively assigning by adopting a mode of combining fixed assignment and interval assignment aiming at the evaluation result, and establishing a quantitative function relation between the evaluation value and the corresponding quantized value; and calculating a secondary index evaluation value, a primary index evaluation value and an equipment advancement evaluation value, and evaluating the advancement of the intelligent network connection equipment according to the equipment advancement evaluation value.
The method for evaluating the advancement of the intelligent networking equipment comprises the steps of analyzing a message receiving and sending function, an interconnection function, a positioning function, an upgrading maintenance function and environment adaptability of the intelligent networking equipment, and selecting 5 first-level indexes and 20 second-level indexes; establishing an evaluation model of the equipment advancement and evaluation models of 5 primary indexes in a weighted summation mode; respectively constructing weight judgment matrixes of 5 primary indexes and 20 secondary indexes according to a pairwise comparison method, and determining the weights of the 5 primary indexes and the weights of the 20 secondary indexes; dividing the grade number corresponding to 20 secondary indexes, and performing multi-grade judgment on the 20 secondary indexes by using an expert judgment method; quantitatively assigning by adopting a mode of combining fixed assignment and interval assignment aiming at the evaluation result, and establishing a quantitative function relation between the evaluation value and the corresponding quantized value; and calculating a secondary index evaluation value, a primary index evaluation value and an equipment advancement evaluation value, and evaluating the advancement of the intelligent network connection equipment according to the equipment advancement evaluation value. Therefore, through multi-level evaluation and assignment calculation, the randomness in the evaluation process is reduced, qualitative evaluation and quantitative evaluation are combined, the evaluation result is objective, and comprehensive and accurate evaluation on the advancement of the intelligent networking equipment is facilitated.
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Embodiments of the invention are described in further detail below with reference to the attached drawing figures, wherein:
fig. 1 is a flowchart of an advanced evaluation method for an intelligent networking device according to an embodiment of the present invention;
FIG. 2 is a graph of a distribution of primary and secondary indicators according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a two-level index level distribution corresponding to system integration according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating a second level indicator level distribution corresponding to interface extensibility according to an embodiment of the present invention;
FIG. 5 is a graph illustrating a two-level indicator level distribution for locating real-time performance, in accordance with an embodiment of the present invention;
FIG. 6 is a graph of a secondary index level distribution corresponding to maintenance convenience in accordance with an embodiment of the present invention;
FIG. 7 is a diagram illustrating a two-level index level distribution according to environmental suitability according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes an advanced evaluation method for an intelligent networking device according to the present invention with reference to the accompanying drawings.
Fig. 1 is a flowchart of an advance evaluation method of an intelligent networking device according to an embodiment of the invention. As shown in fig. 1, the method for evaluating the advancement of the intelligent networking device comprises the following steps:
step 1, analyzing the functions and performances of the intelligent networking equipment, and selecting a plurality of primary indexes and a plurality of secondary indexes corresponding to the primary indexes.
Specifically, a message receiving and sending function, an interconnection communication function, a positioning function, an upgrading maintenance function and environment adaptation performance which are realized by the intelligent networking equipment are analyzed to form a plurality of first-level indexes for advanced evaluation. Wherein, a plurality of first-level indexes include 5: system integration, interface expansibility, positioning real-time property, maintenance convenience and environmental adaptability.
In the embodiment of the invention, the system integration corresponds to the message receiving and sending functions of the intelligent networking equipment: the traffic information generated by other intelligent networking equipment is received and is sent to the corresponding traffic entity in a standardized form through a PC5 or a Uu interface according to the requirements of traffic scenes. The following types of messages are mainly involved: basic safety messages, roadside event messages, roadside safety messages, signal light messages, map messages, formation management messages, individual safety messages, roadside coordination messages, perception sharing messages, vehicle payment messages, and the like.
The interface expansibility corresponds to the function of communication between the intelligent networking equipment and other peripheral equipment: the method provides extensible capability according to different service scenes, meets the local access requirements of different types of equipment, conveniently accesses third-party traffic facilities, and realizes the integral traffic application function.
The positioning real-time property corresponds to the positioning function of the equipment: the type of the global satellite navigation system is used for positioning and time service of the intelligent networking equipment.
The maintenance convenience corresponds to the upgrading maintenance function of the equipment: whether the functions of remote maintenance and upgrading are provided.
The environmental adaptability is used for evaluating the performance of equipment, and mainly comprises whether the dustproof and waterproof grade is higher, whether the power consumption of the whole machine is lower, whether the working temperature range is wider and the like.
In an embodiment of the present invention, selecting a plurality of secondary indicators corresponding to the primary indicators comprises the steps of: listing technical characteristics related to the first-level indexes; analyzing the technical characteristics by an expert evaluation method, and classifying according to three grades of high technical content, medium technical content and low technical content; the higher technical content features were selected as secondary indicators for evaluation.
In the embodiment of the present invention, first, technical features related to each primary index are listed, and a system integration is taken as an example for explanation, and the technical features included in the system integration include: the number of V2X antennas, the number of 4G antennas, operating bandwidth, transmission Power, reception sensitivity, networking type, messaging mode, message type, the number of application scenarios, security chip, POE (Power Over Ethernet), storage temperature, operating humidity, storage capacity, operating frequency, 12V Power supply, 48V Power supply, GNSS (Global Navigation Satellite System) antenna number, antenna interface type, and the like.
And secondly, analyzing by an expert evaluation method, and classifying according to three grades of high technical content, medium technical content and low technical content. Also taking the system integration as an example for illustration, the characteristics with higher technical content are as follows: networking type, message receiving and sending mode, message type, application scene number and security chip; the characteristics of medium technical content are as follows: the number of V2X antennas, the number of 4G antennas, the working bandwidth, the transmitting power, the receiving sensitivity, the POE power supply, the storage temperature, the working humidity and the storage capacity; the low technical content is characterized in that: operating frequency, 12V supply, 48V supply, number of GNSS antennas, antenna interface type, etc.
And finally, selecting the features with higher technical content as secondary indexes for evaluation, for example, selecting the secondary indexes of the system integration as networking types, messaging modes, message types, application scene numbers and security chips. The other first-level index analysis steps are similar and are not repeated, so that the second-level indexes used for evaluation of all the first-level indexes are obtained.
In the embodiment of the present invention, as shown in fig. 2, a plurality of secondary indexes corresponding to the primary index obtained according to the above steps includes 20: the system comprises a networking type, a messaging mode, a message type, the number of application scenes, a security chip, a WIFI interface, an optical fiber interface, an Ethernet interface, a USB interface, a positioning system type, time synchronization, OTA (over the air) upgrading, remote operation and maintenance, weight, whole machine size, dustproof and waterproof grade, coverage range, power consumption, lowest working temperature and highest working temperature.
In the embodiment of the present invention, as shown in fig. 2, 5 secondary index networking types, messaging modes, message types, application scene numbers, and security chips correspond to the integration of the primary index system; 4 second-level index WIFI interfaces, optical fiber interfaces, Ethernet interfaces and USB interfaces correspond to the first-level index interface in expansibility; 2 types and time synchronization of the secondary index positioning systems correspond to the real-time performance of the primary index positioning; the 4 second-level indexes OTA are upgraded in the air, and the remote operation and maintenance, the weight and the size of the whole machine correspond to the convenience of the first-level index maintenance; the dustproof and waterproof grade, the coverage, the power consumption, the lowest working temperature and the highest working temperature of the 5 secondary indexes correspond to the environmental adaptability of the primary indexes.
And 2, establishing an evaluation model of the equipment advancement and an evaluation model of the primary index in a weighted summation mode.
Specifically, an evaluation model of the equipment advancement is firstly established in a weighted summation mode according to the primary indexes, and the evaluation model comprises the following steps:
Figure 656063DEST_PATH_IMAGE001
，
wherein, the device advancement evaluation value is T, j is the serial number of the first-level index, m is the number of the first-level index, and the weight of the jth first-level index is kjThe evaluation value of the jth primary index is Mj。
In the embodiment of the present invention, M =5, and the evaluation value of the 1 st primary index system integration is M1Corresponding weight is k1(ii) a The 2 nd evaluation value of the first-level index interface expansibility is M2Corresponding weight is k2(ii) a The 3 rd first-level index positioning real-time evaluation value is M3Corresponding weight is k3(ii) a The 4 th evaluation value of the maintenance convenience of the first-level index is M4Corresponding weight is k4(ii) a The 5 th primary index environmental suitability evaluation value is M5Corresponding weight is k5。
Secondly, an evaluation model of the primary index is established in a weighted summation mode according to the secondary index, and the evaluation model is as follows:
Figure 901100DEST_PATH_IMAGE002
，
wherein the evaluation value of the jth primary index is MjI is the serial number of the second-level index corresponding to the first-level index, njThe number of the second-level indexes corresponding to the jth first-level index is the ith second-level index corresponding to the jth first-level index, and the weight of the ith second-level index is kjiThe evaluation value of the ith secondary index corresponding to the jth primary index is Mji。
In the embodiment of the present invention, the evaluation model of the 1 st primary index system integrity is as follows:
Figure 946416DEST_PATH_IMAGE003
，
wherein, the evaluation value of the integration of the first-level index system is M1I is the serial number of the second-level index corresponding to the first-level index, n1N is the number of the second level indexes corresponding to the first level indexes in the embodiment of the invention1=5, evaluation value of two-level index networking type is M11Corresponding weight is k11(ii) a The evaluation value of the second level index message receiving and sending mode is M12Corresponding weight is k12(ii) a The evaluation value of the kind of the secondary index message is M13Corresponding weight is k13(ii) a The evaluation value of the number of the application scenes of the secondary index is M14Corresponding weight is k14(ii) a The evaluation value of the secondary index security chip is M15Corresponding weight is k15。
In the embodiment of the present invention, the evaluation model of the 2 nd first-level index interface extensibility is:
Figure 544888DEST_PATH_IMAGE004
，
wherein, the evaluation value of the expansibility of the first-level index interface is M2I is the serial number of the second-level index corresponding to the first-level index, n2Corresponding to a first-order indexNumber of secondary indexes, n in the embodiment of the invention2=4, the evaluation value of the second-level index WIFI interface is M21Corresponding weight is k21(ii) a The evaluation value of the second-level index optical fiber interface is M22Corresponding weight is k22(ii) a The evaluation value of the second-level index Ethernet interface is M23Corresponding weight is k23(ii) a The evaluation value of the secondary index USB interface is M24Corresponding weight is k24。
In the embodiment of the present invention, the 3 rd evaluation model of the first-level index positioning real-time performance is:
Figure 624839DEST_PATH_IMAGE005
，
wherein, the evaluation value of the first-level index positioning real-time performance is M3I is the serial number of the second-level index corresponding to the first-level index, n3N is the number of the second level indexes corresponding to the first level indexes in the embodiment of the invention3=2, evaluation value of type of secondary index positioning system is M31Corresponding weight is k31(ii) a The evaluation value of the time synchronization of the secondary index is M32Corresponding weight is k32。
In the embodiment of the present invention, the 4 th evaluation model for the maintenance convenience of the primary index is:
Figure 769338DEST_PATH_IMAGE006
，
wherein, the evaluation value of the maintenance convenience of the first-level index is M4I is the serial number of the second-level index corresponding to the first-level index, n4N is the number of the second level indexes corresponding to the first level indexes in the embodiment of the invention4=4, the evaluation value of the over-the-air upgrade of the second-level index OTA is M41Corresponding weight is k41(ii) a The evaluation value of the remote operation and maintenance of the secondary index is M42Corresponding weight is k42(ii) a The evaluation value of the secondary index weight is M43Corresponding weight is k43(ii) a The evaluation value of the whole machine size of the secondary index is M44Corresponding weight is k44。
In the embodiment of the present invention, the 5 th evaluation model of the environmental suitability of the primary index is:
Figure 301951DEST_PATH_IMAGE007
，
wherein, the evaluation value of the environmental suitability of the primary index is M5I is the serial number of the second-level index corresponding to the first-level index, n5The number of the second level indexes corresponding to the first level indexes, n in this embodiment5=5, evaluation value of dustproof and waterproof grade of secondary index is M51Corresponding weight is k51(ii) a The evaluation value of the coverage range of the secondary index is M52Corresponding weight is k52(ii) a The evaluation value of the secondary index power consumption is M53Corresponding weight is k53. The evaluation value of the lowest working temperature of the secondary index is M54Corresponding weight is k54(ii) a The evaluation value of the highest working temperature of the secondary index is M55Corresponding weight is k55。
And 3, constructing a weight judgment matrix according to a pairwise comparison method, and determining the weight of the index.
Firstly, according to the importance degree of each primary index, a weight judgment matrix of the primary index is constructed according to a pairwise comparison method, and the weight of the primary index is determined.
In the embodiment of the present invention, the weight determination matrix of the first-level index is as follows:
Figure 704113DEST_PATH_IMAGE008
thereby calculating the weight, k, of each primary index1=0.43，k2=0.06，k3=0.25，k4=0.1，k5=0.16。
Substituting the weight of the first-level index into the equipment advancement evaluation model comprises the following steps:
T=0.43M1+0.06M2+0.25M3+0.1M4+0.16M5。
secondly, according to the importance degree of each secondary index, listing a weight judgment matrix of the secondary index according to a pairwise comparison method, and determining the weight of each secondary index.
In the embodiment of the present invention, the two-level index weight determination matrix of the integration of the first-level index system is as follows:
Figure 638571DEST_PATH_IMAGE009
thereby calculating the weight k11～k15The values are 0.05, 0.10, 0.42, 0.27 and 0.16, and when the values are introduced into the evaluation model of the integration of the primary index system, the following are included:
M1=0.05M11+ 0.1M12+0.42 M13+ 0.27M14+ 0.16M15。
in the embodiment of the present invention, the second-level index weight determination matrix of the first-level index interface expansibility is as follows:
Figure 959831DEST_PATH_IMAGE010
thereby calculating the weight k21～k24The values are 0.06, 0.53, 0.31, 0.10, and are brought into the evaluation model of the first-level index interface expansibility, then:
M2=0.06M21+0.53 M22+0.31M23+ 0.1M24。
in the embodiment of the invention, the weight judgment matrix of the first-level index positioning real-time property is as follows:
Figure 979740DEST_PATH_IMAGE011
thereby calculating the weight k31、k32The values are 0.25 and 0.75, and the values are brought into an evaluation model of the first-level index positioning real-time performance, and the following are provided:
M3=0.25M31+ 0.75M32。
in the embodiment of the present invention, the weight determination matrix of the primary index maintenance convenience is as follows:
Figure 920014DEST_PATH_IMAGE012
thereby calculating the weight k41～k44The values are 0.42, 0.25, 0.19 and 0.14, and when the values are brought into an evaluation model of the maintenance convenience of the primary index, the following are obtained:
M4=0.42M41+ 0.25M42+0.19 M43+0.14M44。
in the embodiment of the present invention, the weight determination matrix of the environmental adaptability of the primary index is as follows:
Figure 708979DEST_PATH_IMAGE013
thereby calculating the weight k51～k55The values are 0.38, 0.24, 0.16, 0.10 and 0.12, and when the values are introduced into the evaluation model of the environmental suitability of the primary index, the following are included:
M5=0.38M51+0.24 M52+ 0.16M53+0.1 M54+ 0.12M55。
and 4, dividing the grade number corresponding to the secondary indexes, and performing multi-grade judgment on the secondary indexes by using an expert judgment method.
The number of levels (hereinafter referred to as "levels") corresponding to the secondary index is divided according to the degree of function or different performance levels. As shown in fig. 3, 4, 5, 6, and 7, the corresponding level number of the secondary index includes 5 levels or 3 levels, and the level number of the networking type, the message type, the application scene number, the security chip, the positioning system type, the remote operation and maintenance, the weight, the whole machine size, the dustproof and waterproof level, the coverage area, the power consumption, the lowest operating temperature, and the highest operating temperature of the secondary index is 5 levels; the level number of the second-level index message receiving and sending mode, the WIFI interface, the optical fiber interface, the Ethernet interface, the USB interface, the time synchronization and the OTA over-the-air upgrading is 3 levels.
In the embodiment of the invention, for the second-level index networking type, the corresponding first-level index is system integration, the corresponding message receiving and sending function is used for analyzing the corresponding networking type during the message receiving and sending of the actual intelligent networking equipment, and currently, only three independent types are available: DSRC (differentiated Short Range communication), LTE-V (Long Term Evolution-Vehicle), NR-V2X (New Radio-Vehicle to Evaporation). The most complete function realization includes all three independent types, and the division is performed according to the function realization degree, so the two-level index is divided into 5 levels, and the number of the levels is 5: support DSRC, LTE-V, NR-V2X; support LTE-V, NR-V2X; supporting DSRC and LTE-V; only LTE-V is supported; only DSRC is supported.
In the embodiment of the invention, the two-level index message receiving and sending mode is divided into 3 levels, and the number of the levels is 3: simultaneously supports PC5 and Uu; only PC5 is supported; only Uu is supported.
In the embodiment of the invention, the number of the application scenes of the secondary indexes is divided into 5 levels, and the number of the levels is 5: not less than 31; 21-30; 11 to 20; 5-10; less than or equal to 4.
In the embodiment of the invention, for the dustproof and waterproof grade of the secondary index, the environmental adaptability of the primary index is correspondingly adopted, the two grades are divided into 5 grades according to different layers of protective performance IP (International protection), and the grade number is 5: IP 68; IP 67; IP 66; IP 65; < IP 65. Similarly, the division of the remaining secondary indexes is not repeated.
Secondly, carrying out multi-stage evaluation on the secondary indexes by using an expert evaluation method.
In the embodiment of the invention, for the second-level index of the networking type, the level number is 5, and the expert judgment comprises 5 results. The results supporting the DSRC and LTE-V, NR-V2X judgment are excellent; the result of the support of the LTE-V, NR-V2X judgment is good; the results supporting the DSRC and LTE-V judgment are medium; the result of only supporting LTE-V judgment is general; the results of DSRC evaluation alone were poor, as shown in FIG. 3.
In the embodiment of the invention, for the two-level index of the messaging mode, the level is 3, and the expert judgment comprises 3 results. Meanwhile, the results of supporting the evaluation of PC5 and Uu are excellent; the result of the evaluation only supporting PC5 is medium; the result of the Uu only evaluation is poor.
In the embodiment of the invention, as for the secondary index of the application scene number, the grade number is 5, and the expert judgment comprises 5 results. The result of the judgment of not less than 31 is excellent; the 21-30 evaluation result is good; the judgment result of 11-20 is medium; 5-10, the result is general; the result of judgment of less than or equal to 4 is poor. And other secondary index analysis steps are similar and are not repeated, so that expert judgment results of all secondary indexes are obtained.
And 5, carrying out quantitative assignment by adopting a mode of combining fixed assignment and interval assignment aiming at the evaluation result, and establishing a quantitative function relation between the evaluation value and the corresponding quantitative value.
Firstly, carrying out quantitative assignment on a judgment result, wherein the quantitative assignment of a secondary index not containing a quantity attribute adopts a fixed assignment mode, and the quantitative values of all grades in the grade corresponding to the secondary index are fixed values at the moment; the quantitative assignment of the secondary indexes containing the quantity attributes adopts an interval assignment mode, and at the moment, the quantitative value of at least one grade in the grades corresponding to the secondary indexes is a value interval; and the quantitative assignment of each secondary index adopts 10 grades.
In the embodiment of the present invention, the secondary indicators that do not include the quantity attribute are: the system comprises a networking type, a message transceiving mode, a security chip, a WIFI interface, an optical fiber interface, an Ethernet interface, a USB interface, a positioning system type, time synchronization, OTA (over the air) upgrading, remote operation and maintenance and dustproof and waterproof grades.
In the embodiment of the present invention, the secondary indicators containing the quantity attribute are: message type, application scene number, weight, whole machine size, coverage, power consumption, lowest working temperature and highest working temperature.
Secondly, according to different grades of the indexes and whether the indexes contain quantity attributes, summarizing the grade-quantization value relation of the secondary indexes corresponding to the primary indexes into a grade distribution map of the secondary indexes.
For the integration of the first-level index system, the relationship between the level of the second-level index and the quantization value is shown in FIG. 3.
For the first-level index interface extensibility, its second-level index level-quantization value relationship is shown in FIG. 4.
For the first-level index positioning real-time performance, the relationship between the level of the second-level index and the quantized value is shown in FIG. 5.
For the convenience of maintenance of the first-level index, the relationship between the level of the second-level index and the quantized value is shown in fig. 6.
For the environmental suitability of the primary index, the relationship between the level of the secondary index and the quantization value is shown in fig. 7.
In the embodiment of the present invention, as shown in fig. 3, for the two-level index networking type of system integration, 5 levels are included, and since it is a two-level index that does not include a quantity attribute, and a fixed assignment manner is adopted, quantized values of the 5 levels are all a certain fixed value. The method specifically comprises the following steps: when the 10-division is used for assignment, the quantized value with excellent grade corresponds to 10, the quantized value with good grade corresponds to 7, the quantized value with medium grade corresponds to 5, the quantized value with general grade corresponds to 3, and the quantized value with poor grade corresponds to 1.
In the embodiment of the present invention, as shown in fig. 3, for the two-level indicator messaging mode of system integration, the two-level indicator messaging mode includes 3 levels, and since the two-level indicator messaging mode does not include a quantity attribute and adopts a fixed assignment manner, quantized values of the 3 levels are all a certain fixed value. The method specifically comprises the following steps: a quantized value of good rank corresponds to 10, a quantized value of medium rank corresponds to 5, and a quantized value of poor rank corresponds to 1.
In the embodiment of the present invention, as shown in fig. 4, for the second-level indicator ethernet interface, the second-level indicator ethernet interface includes 3 levels, and since the second-level indicator does not include a quantity attribute, and a fixed assignment manner is adopted, quantized values of the 3 levels are all a certain fixed value. The method specifically comprises the following steps: a quantized value of good rank corresponds to 10, a quantized value of medium rank corresponds to 5, and a quantized value of poor rank corresponds to 0.
In the embodiment of the present invention, as shown in fig. 5, for the time synchronization of the secondary indexes, the time synchronization includes 3 levels, and since the time synchronization is a secondary index that does not include a quantity attribute, and a fixed assignment manner is adopted, quantized values of the 3 levels are all a certain fixed value. The method specifically comprises the following steps: a quantized value of good rank corresponds to 10, a quantized value of medium rank corresponds to 5, and a quantized value of poor rank corresponds to 0.
It can be seen from this that, for different secondary indicators, such as the messaging mode and the time synchronization, their quantized values with the same level "poor" are different, the former is 1, and the latter is 0, mainly because the function implementation degrees or performance levels corresponding to the indicators in step 4 are different.
In the embodiment of the present invention, as shown in fig. 6, for the whole size of the secondary index, the secondary index includes 5 levels, and since the secondary index includes a quantity attribute, an interval assignment manner is adopted, and a quantized value of at least one level is a value interval. Wherein 4 grade quantization values are value intervals, 1 grade quantization value is a fixed value, the quantization value with excellent grade is 8-10, the quantization value with good grade is 6-7, the quantization value with medium grade is 4-5, the quantization value with general grade is 2-3, and the quantization value with poor grade is 1.
In the embodiment of the present invention, as shown in fig. 7, for the power consumption of the secondary index, the power consumption includes 5 levels, and since the power consumption of the secondary index includes a quantity attribute, an interval assignment manner is adopted, and a quantization value of at least one level is a value interval. Wherein 4 grade quantization values are value intervals, 1 grade quantization value is a fixed value, the quantization value with excellent grade is 8-10, the quantization value with good grade is 6-7, the quantization value with medium grade is 4-5, the quantization value with general grade is 2-3, and the quantization value with poor grade is 1.
And finally, establishing a quantization function relation between the evaluation value and the corresponding quantization value.
In the embodiment of the invention, for the secondary index of the fixed assignment mode, according to the actual value of the secondary index, the corresponding quantized value is inquired in the level distribution diagram, and the evaluation value of the secondary index is obtained according to the following quantization function relationship, namely that
Figure 466719DEST_PATH_IMAGE014
，
Wherein, the evaluation value of the ith secondary index corresponding to the jth primary index is MjiThe quantization value corresponding to a certain grade of the ith secondary index corresponding to the jth primary index is Pji(for a certain device, the actual value of the secondary indicator corresponds to only a certain level, and it is not possible to correspond to 2 levels at the same time).
In the embodiment of the invention, for the secondary index of the interval assignment mode, the evaluation value is calculated according to the quantization function in the value interval range of the quantization value. Firstly, dividing the secondary indexes of interval assignment into two types: the larger the more preferred and the smaller the more preferred. The larger the more preferred the secondary indicators are: message type, number of application scenarios, coverage, maximum operating temperature. The smaller the more preferred the secondary indicators are: weight, overall size, power consumption, minimum operating temperature.
Secondly, a quantization function is respectively established according to different types of the secondary indexes. For larger and more optimal secondary indexes, the quantization function is as follows:
Figure 973924DEST_PATH_IMAGE015
，
for smaller and more optimal secondary indicators, the quantization function is as follows:
Figure 452310DEST_PATH_IMAGE016
，
wherein, the evaluation value of the ith secondary index corresponding to the jth primary index is MjiThe actual value of the ith secondary index corresponding to the jth primary index in the multiple devices to be evaluated is XjiThe minimum value of the actual value of the ith secondary index corresponding to the jth primary index in the multiple devices to be evaluated is XminThe maximum value of the actual values of the secondary indexes in the equipment to be evaluated is XmaxThe lower limit value of the quantization value range of the ith secondary index corresponding to the jth primary index is GminThe quantized value of the ith secondary index corresponding to the jth primary index is positioned above the value rangeLimit value of Gmax。
And 6, calculating a secondary index evaluation value, a primary index evaluation value and an equipment advancement evaluation value, and evaluating the advancement of the intelligent networking equipment according to the equipment advancement evaluation value.
Wherein, the calculation of the evaluation value of the secondary index is carried out according to the quantitative functional relation; calculating the evaluation value of the primary index is carried out according to the evaluation model of the primary index; the calculation of the device advancement evaluation value is performed based on an evaluation model of the device advancement. In the embodiment of the present invention, the comparison between two devices for the intelligent networking device RSU to be evaluated is described as follows. If the respective secondary index levels of the device a are:
the networking type is LTE-V, NR-V2X; the message receiving and sending mode simultaneously supports PC5 and Uu; the message type is 3; the number of application scenes is 10; the safety chip is an industrial chip and a non-national cryptographic algorithm; the WIFI interface is nothing; the optical fiber interface is absent; the Ethernet interface is nothing; the USB interface is USB 2.0; the positioning system only supports the Beidou; the time synchronization is GNSS synchronization; OTA over-the-air upgrade is that only firmware programs can be upgraded; the remote operation and maintenance comprises remote startup and remote shutdown; the weight is 3.5 kg; the size of the whole machine is 510 mm; the dustproof and waterproof grade is IP 66; the coverage area is 650 m; the power consumption is 13W; the lowest working temperature is-32 ℃; the maximum working temperature was 110 ℃.
The respective secondary index grades of the equipment B are as follows:
the networking type is only LTE-V supported; messaging mode is PC5 only; the message type is 8; the number of application scenes is 25; the safety chip is a vehicle specification level chip and a national cryptographic algorithm; the WIFI interface only supports 2.4 GHz; the optical fiber interface is absent; the Ethernet interface is 100M; the USB interface is USB 3.0; the positioning system is only supporting GPS; the time synchronization is PC5 air interface synchronization; OTA over-the-air upgrading is realized in such a way that only application programs can be upgraded; the remote operation and maintenance comprises remote starting, remote shutdown and remote alarm; the weight is 4.5 kg; the size of the whole machine is 550 mm; the dustproof and waterproof grade is IP 68; the coverage range is 550 m; the power consumption is 10W; the lowest working temperature is-20 ℃; the maximum working temperature was 95 ℃.
Respectively calculating to obtain the evaluation values of the secondary indexes of the equipment A as follows:
for the networking type of the secondary indexes, the actual value is LTE-V, NR-V2X, and the quantized value is 7, namely P, is inquired in the level distribution diagram of the secondary indexes corresponding to the system integration11=7, since the networking type is a fixed assignment, according to the quantization function of the fixed assignment method, there are: m11= P11=7。
In the same way, M12=P12=10。
Since device A compares to device, X is in both message categories 3 and 8max=8，Xmin=3，X13=3, message type is greater the more preferred indicator, 3 is in rank general, Gmax=Gmin=2, which is a larger and more optimal index, and is substituted into a quantization function formula of a larger and more optimal two-level index, there are:
Figure 689256DEST_PATH_IMAGE017
。
since device A compares to device B, X is out of both the application scenarios 10 and 25max=25，Xmin=10，X14=10, the greater the number of application scenes, the better the type index, 10 being in the class general, Gmax=2，Gmin=2, the larger the substitution, the more optimal the quantization function of the two-level index, then:
Figure 24422DEST_PATH_IMAGE018
。
M15=P15=2。
M21=P21=0；M22=P22=0；M23=P23=0；M24=P24=5。
M31=P31=5；M32=P32=5。
M41=P41=5；M42=P42=3。
due to the phase of the equipment A and the equipment BIn a ratio of 3.5kg and 4.5kg, Xmax=4.5，Xmin=3.5，X43=3.5, the weight is smaller, the better the model index is, 3.5kg is in good grade, Gmax=7，Gmin=6, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 18923DEST_PATH_IMAGE019
。
since the equipment A and the equipment B are compared, the whole machine has the size of X in 510mm and 550mmmax=550，Xmin=510，X44=510, the smaller the overall machine size, the better the model index, 510 is in good class, Gmax=7，Gmin=6, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 301000DEST_PATH_IMAGE020
。
M51=P51=5。
since device A covers both 650m and 550m, X, compared to device Bmax=650，Xmin=550，X52=650, coverage is larger the better indicator 650 is in good grade, Gmax=7，Gmin=6, the more the substitution is, the more optimal quantization function formula is:
Figure 64557DEST_PATH_IMAGE021
。
since device A consumes 13W and 10W of power compared to device B, Xmax=13，Xmin=10，X53=13, the power consumption is the lower the preferred index, 13 is in the middle of the rank, Gmax=5，Gmin=4, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 164100DEST_PATH_IMAGE022
。
since the lowest working temperature of the equipment A and the equipment B is within-32 ℃ and-20 ℃, Xmax=-20，Xmin=-32，X54= -32, optimum index as minimum operating temperature decreases, -32 is in good order, Gmax=7，Gmin=6, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 380317DEST_PATH_IMAGE023
。
since the maximum operating temperature of both apparatus A and apparatus B is 110 ℃ and 95 ℃, Xmax=110，Xmin=95，X55=110, maximum operating temperature greater preferred index, 110 in good class, Gmax=7，Gmin=6, the more the substitution is, the more optimal quantization function formula is:
Figure 466085DEST_PATH_IMAGE024
。
the evaluation value of the primary index of the apparatus a is thus calculated as follows:
M1=0.05M11+ 0.1M12+0.42 M13+ 0.27M14+ 0.16M15=0.05*7+0.1*10+0.42*2+0.27*2+0.16*2=3.05；
M2=0.06M21+0.53 M22+0.31M23+ 0.1M24=0.06*0+0.53*0+0.31*0+0.1*5=0.5；
M3=0.25M31+ 0.75M32=0.25*5+0.75*5=5；
M4=0.42M41+ 0.25M42+0.19 M43+0.14M44=0.42*5+0.25*3+0.19*7+0.14*7=5.16；
M5= 0.38M51+0.24 M52+ 0.16M53+0.1 M54+ 0.12M55
=0.38*5+0.24*7+0.16*4+0.10*7+0.12*7=5.76。
the device advancement evaluation value of the device a is calculated as:
T=0.43M1+0.06M2+0.25M3+0.1M4+0.16M5
=0.43*3.05+0.06*0.5+0.25*5+0.1*5.16+0.16*5.76=4.03。
for the device B, the secondary index evaluation value of the device B is as follows:
M11=3；M12=5。
x among both message classes 8 and 3, due to the comparison of device B and device Amax=8，Xmin=3，X13=8, message type is greater the more preferred indicator, 8 is in the superior class, Gmax=10，Gmin=7, the more optimal quantization function formula the larger the substitution, the following:
Figure 84148DEST_PATH_IMAGE025
。
of the application scene numbers 25 and 10, X is due to the comparison of device B and device Amax=25，Xmin=10，X14=25, the greater the number of application scenarios, the better the type index, 25 in the good class, Gmax=7，Gmin=5, the more the substitution is, the more optimal quantization function formula is:
Figure 354592DEST_PATH_IMAGE026
。
M15=10。
M21=5；M22=0；M23=5；M24=10。
M31=3；M32=10。
M41=3；M42=5。
since apparatus B weighs 4.5kg and 3.5kg, X is greater than apparatus Amax=4.5，Xmin=3.5，X43=4.5, the weight is the lower the optimum type index, 4.5kg is in the middle of the grade, Gmax=5，Gmin=4, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 58106DEST_PATH_IMAGE027
。
since apparatus B is comparable to apparatus A, the overall machine size, X, is both 550mm and 510mmmax=550，Xmin=510，X44=550, the smaller the overall size is, the more preferred the index, 550 is in the middle of the grade, Gmax=5，Gmin=4, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 681986DEST_PATH_IMAGE028
。
M51=10。
x in both 550m and 650m, due to the comparison of device B and device Amax=650，Xmin=550，X52=550, the greater the coverage, the better the indicator, 550 in the middle of the rank, Gmax=5，Gmin=4, the more the substitution is, the more optimal quantization function formula is:
Figure 420134DEST_PATH_IMAGE029
。
x is between 10W and 13W because of the comparison of device B and device Amax=13，Xmin=10，X53=10, the lower the power consumption, the better the model index, 10 is in good class, Gmax=7，Gmin=6, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 861480DEST_PATH_IMAGE030
。
since apparatus B is at-20 ℃ and-32 ℃ compared to apparatus A, Xmax=-20，Xmin=-32，X54= 20, the lower the minimum operating temperature is, the better the type index, -20 is in the class general, Gmax=3，Gmin=2, the smaller the substitution, the more optimal the quantization function formula, the following are:
Figure 52290DEST_PATH_IMAGE031
。
x is at both 95 ℃ and 110 ℃ due to the comparison of apparatus B with apparatus Amax=110，Xmin=95，X55=95, maximum operating temperature is greater the better type indicator, 95 is in the middle of the grade, Gmax=5，Gmin=4, the more the substitution is, the more optimal quantization function formula is:
Figure 479860DEST_PATH_IMAGE032
。
the evaluation value of the primary index of the device B is thus calculated as follows:
M1=0.05M11+ 0.1M12+0.42 M13+ 0.27M14+ 0.16M15
=0.05*3+0.1*5+0.42*10+0.27*7+0.16*10=8.34；
M2=0.06M21+0.53 M22+0.31M23+ 0.1M24=0.06*5+0.53*0+0.31*5+0.1*10=2.85；
M3=0.25M31+ 0.75M32=0.25*3+0.75*10=8.25；
M4=0.42M41+ 0.25M42+0.19 M43+0.14M44=0.42*3+0.25*5+0.19*4+0.14*4=3.83；
M5= 0.38M51+0.24 M52+ 0.16M53+0.1 M54+ 0.12M55
=0.38*10+0.24*4+0.16*7+0.10*2+0.12*4=6.56。
the device advancement evaluation value of the device B is calculated as:
T=0.43M1+0.06M2+0.25M3+0.1M4+0.16M5
=0.43*8.34+0.06*2.85+0.25*8.25+0.1*3.83+0.16*6.56=7.25。
from the above calculation, since the device advancement evaluation value of the device B is 7.25, which is higher than the device advancement evaluation value of the device a by 4.03, the system integration evaluation value is much higher, and the evaluation result is obtained as follows: device B is more advanced than device a.
In summary, the method for evaluating the advancement of the intelligent networking equipment reduces the randomness in the evaluation process through multi-level evaluation and assignment calculation, combines qualitative evaluation with quantitative evaluation, has objective evaluation results, and is favorable for comprehensively and accurately evaluating the advancement of the intelligent networking equipment.
In the description herein, reference to the description of "one embodiment," "an example," etc., means that a particular feature or characteristic described in connection with the embodiment or example is included in at least one embodiment of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (12)

1. An advanced evaluation method of intelligent networking equipment is characterized by comprising the following steps:
analyzing the functions and performances of the intelligent networking equipment, and selecting a plurality of primary indexes and a plurality of secondary indexes corresponding to the primary indexes, wherein the functions and performances comprise a message receiving and sending function, an interconnection communication function, a positioning function, an upgrading maintenance function and an environment adaptation performance;
establishing an evaluation model of the equipment advancement and an evaluation model of the primary index in a weighted summation mode;
constructing a weight judgment matrix according to a pairwise comparison method, and determining the weight of the index;
dividing the grade number corresponding to the secondary indexes, and performing multi-grade judgment on the secondary indexes by using an expert judgment method;
quantitatively assigning by adopting a mode of combining fixed assignment and interval assignment aiming at the evaluation result, and establishing a quantitative function relation between the evaluation value and the corresponding quantized value;
and calculating a secondary index evaluation value, a primary index evaluation value and an equipment advancement evaluation value, and evaluating the advancement of the intelligent network connection equipment according to the equipment advancement evaluation value.
2. The evaluation method of claim 1, wherein the selecting a plurality of primary indicators comprises 5: system integration, interface expansibility, positioning real-time property, maintenance convenience and environmental adaptability;
the plurality of secondary indexes corresponding to the primary indexes include 20: the system comprises a network type, a message receiving and sending mode, a message type, the number of application scenes, a security chip, a WIFI interface, an optical fiber interface, an Ethernet interface, a USB interface, a positioning system type, time synchronization, OTA (over the air) upgrading, remote operation and maintenance, weight, whole machine size, dustproof and waterproof grade, coverage range, power consumption, lowest working temperature and highest working temperature; wherein the content of the first and second substances,
the 5 secondary index networking types, the message receiving and sending modes, the message types, the application scene number and the integration of the safety chip and the primary index system correspond to each other;
the 4 second-level index WIFI interfaces, the optical fiber interface, the Ethernet interface and the USB interface correspond to the first-level index interface in expansibility;
the type and time synchronization of the 2 secondary index positioning systems correspond to the real-time performance of primary index positioning;
the 4 second-level indexes OTA are upgraded in the air, and the remote operation and maintenance, the weight and the size of the whole machine correspond to the convenience of the maintenance of the first-level indexes;
the dustproof and waterproof grade, the coverage range, the power consumption, the lowest working temperature and the highest working temperature of the 5 secondary indexes correspond to the environmental adaptability of the primary indexes.
3. The evaluation method of claim 1, wherein selecting a secondary indicator further comprises the steps of:
listing technical characteristics related to the first-level indexes; analyzing the technical characteristics by an expert evaluation method, and classifying according to three grades of high technical content, medium technical content and low technical content; the higher technical content features were selected as secondary indicators for evaluation.
4. The evaluation method according to claim 1, wherein the dividing of the number of levels corresponding to the secondary index includes 5 or 3 levels; the system comprises a computer, a network management server and a network management server, wherein the network management server is used for managing the network management server, the network management server and the; the grade number of the second-level index message receiving and sending mode, the WIFI interface, the optical fiber interface, the Ethernet interface, the USB interface, the time synchronization and the OTA over-the-air upgrading is 3.
5. The evaluation method according to claim 1, wherein the fixed assignment manner is for a secondary index not including a quantity attribute, and quantized values of all levels in the levels corresponding to the secondary index not including a quantity attribute are fixed values.
6. The evaluation method according to claim 1, wherein the interval assignment manner is for a secondary index including a quantity attribute, and a quantization value of at least one of the levels corresponding to the secondary index including the quantity attribute is a value interval.
7. The evaluation method according to claim 5, wherein the secondary index not containing quantitative attributes is: the system comprises a networking type, a message transceiving mode, a security chip, a WIFI interface, an optical fiber interface, an Ethernet interface, a USB interface, a positioning system type, time synchronization, OTA (over the air) upgrading, remote operation and maintenance and dustproof and waterproof grades.
8. The evaluation method according to claim 6, wherein the secondary indicator comprising a quantitative attribute is: message type, application scene number, weight, whole machine size, coverage, power consumption, lowest working temperature and highest working temperature.
9. The evaluation method according to claim 5, wherein the fixed assignment manner calculates the evaluation value of the secondary index by the following formula:
Figure 787579DEST_PATH_IMAGE001
，
wherein, the evaluation value of the ith secondary index corresponding to the jth primary index is MjiThe quantization value corresponding to a certain grade of the ith secondary index corresponding to the jth primary index is Pji。
10. The evaluation method according to claim 6, wherein the secondary indicators of the interval assignment manner are divided into two types: the larger the more preferred and the smaller the more preferred.
11. The evaluation method according to claim 10, wherein the larger and more optimal secondary indicators include: message type, application scene number, coverage range and highest working temperature; the smaller and more optimal secondary indicators include: weight, overall size, power consumption, minimum operating temperature.
12. The evaluation method according to claim 11, wherein the evaluation value of the secondary index is calculated by the following quantization function formula for a larger and more optimal type of the secondary index:
Figure 501457DEST_PATH_IMAGE002
；
for the smaller and more optimal secondary index, the evaluation value of the secondary index is calculated by the following quantization function formula:
Figure 15615DEST_PATH_IMAGE003
，
wherein, the evaluation value of the ith secondary index corresponding to the jth primary index is MjiThe actual value of the ith secondary index corresponding to the jth primary index in the multiple devices to be evaluated is XjiThe minimum value of the actual value of the ith secondary index corresponding to the jth primary index in the multiple devices to be evaluated is XminThe maximum value of the actual values of the secondary indexes in the equipment to be evaluated is XmaxThe lower limit value of the quantization value range of the ith secondary index corresponding to the jth primary index is GminThe upper limit value of the quantization value range of the ith secondary index corresponding to the jth primary index is Gmax。
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114091618A (en) * 2021-11-30 2022-02-25 重庆允成互联网科技有限公司 Industrial equipment health state diagnosis management method and device and server
CN115361666A (en) * 2022-08-15 2022-11-18 河北远东通信系统工程有限公司 Intelligent OBU device with inertial navigation function

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105046591A (en) * 2015-08-24 2015-11-11 许继集团有限公司 Method for evaluating electricity utilization energy efficiency of power consumer
CN106127388A (en) * 2016-06-24 2016-11-16 南瑞（武汉）电气设备与工程能效测评中心 The energy efficiency evaluating method of high energy-consuming enterprises
CN107111848A (en) * 2014-12-05 2017-08-29 Jam2Go株式会社 Content evaluation method in a network environment and server
CN108256785A (en) * 2018-02-09 2018-07-06 杭州同筹网络科技有限公司 A kind of management method based on Internet of Things
CN109934447A (en) * 2018-10-31 2019-06-25 国网安徽省电力有限公司宿州供电公司 A kind of Fuzzy Synthetic Evaluation of secondary equipment of intelligent converting station efficiency
CN109993430A (en) * 2019-03-29 2019-07-09 西南交通大学 A kind of charging equipment performance estimating method based on two-way grey correlation analysis
CN110458390A (en) * 2019-07-01 2019-11-15 中国石油化工股份有限公司 The optimizing evaluation method of the defeated class equipment of oil field mining site collection
US20200272625A1 (en) * 2019-02-22 2020-08-27 National Geographic Society Platform and method for evaluating, exploring, monitoring and predicting the status of regions of the planet through time
CN111784114A (en) * 2020-06-08 2020-10-16 北京国网普瑞特高压输电技术有限公司 Client-side distributed energy storage system operation performance evaluation method and system
CN111932066A (en) * 2020-07-02 2020-11-13 中国电子技术标准化研究院 Intelligent degree evaluation method of intelligent household product based on fuzzy analytic hierarchy process
US20200380627A1 (en) * 2019-05-30 2020-12-03 Capital One Services, Llc Dynamic evaluation and selection for document validation
CN112258830A (en) * 2020-10-23 2021-01-22 上海博泰悦臻电子设备制造有限公司 Method for evaluating reliability of vehicle formation driving and application thereof
CN112270423A (en) * 2020-11-26 2021-01-26 广东电网有限责任公司佛山供电局 Assessment method for state of transformer substation equipment based on fuzzy comprehensive evaluation

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107111848A (en) * 2014-12-05 2017-08-29 Jam2Go株式会社 Content evaluation method in a network environment and server
CN105046591A (en) * 2015-08-24 2015-11-11 许继集团有限公司 Method for evaluating electricity utilization energy efficiency of power consumer
CN106127388A (en) * 2016-06-24 2016-11-16 南瑞（武汉）电气设备与工程能效测评中心 The energy efficiency evaluating method of high energy-consuming enterprises
CN108256785A (en) * 2018-02-09 2018-07-06 杭州同筹网络科技有限公司 A kind of management method based on Internet of Things
CN109934447A (en) * 2018-10-31 2019-06-25 国网安徽省电力有限公司宿州供电公司 A kind of Fuzzy Synthetic Evaluation of secondary equipment of intelligent converting station efficiency
US20200272625A1 (en) * 2019-02-22 2020-08-27 National Geographic Society Platform and method for evaluating, exploring, monitoring and predicting the status of regions of the planet through time
CN109993430A (en) * 2019-03-29 2019-07-09 西南交通大学 A kind of charging equipment performance estimating method based on two-way grey correlation analysis
US20200380627A1 (en) * 2019-05-30 2020-12-03 Capital One Services, Llc Dynamic evaluation and selection for document validation
CN110458390A (en) * 2019-07-01 2019-11-15 中国石油化工股份有限公司 The optimizing evaluation method of the defeated class equipment of oil field mining site collection
CN111784114A (en) * 2020-06-08 2020-10-16 北京国网普瑞特高压输电技术有限公司 Client-side distributed energy storage system operation performance evaluation method and system
CN111932066A (en) * 2020-07-02 2020-11-13 中国电子技术标准化研究院 Intelligent degree evaluation method of intelligent household product based on fuzzy analytic hierarchy process
CN112258830A (en) * 2020-10-23 2021-01-22 上海博泰悦臻电子设备制造有限公司 Method for evaluating reliability of vehicle formation driving and application thereof
CN112270423A (en) * 2020-11-26 2021-01-26 广东电网有限责任公司佛山供电局 Assessment method for state of transformer substation equipment based on fuzzy comprehensive evaluation

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘畅等: "电动汽车充电站综合性能评价", 《华北电力大学学报(自然科学版)》 *
杨王锋: "航空保障设备效能综合评价方法研究", 《航空科学技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114091618A (en) * 2021-11-30 2022-02-25 重庆允成互联网科技有限公司 Industrial equipment health state diagnosis management method and device and server
CN115361666A (en) * 2022-08-15 2022-11-18 河北远东通信系统工程有限公司 Intelligent OBU device with inertial navigation function

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