CN118115022A - Method and device for evaluating competitiveness of energy service station and electronic equipment - Google Patents
Method and device for evaluating competitiveness of energy service station and electronic equipment Download PDFInfo
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Abstract
The application provides a method and a device for evaluating competitiveness of an energy service station and electronic equipment, and relates to the technical field of data processing. The evaluation method comprises the following steps: acquiring an assessment data packet of an energy service station, wherein the assessment data packet comprises at least one item of assessment data, and the at least one item of assessment data comprises sales volume performance data, profit performance data, customer management data, service facility data and competition environment data; based on a preset index model, distributing a corresponding weight value for at least one item of assessment data in the assessment data packet, wherein the preset index model comprises a corresponding relation between the assessment data and the weight value; and confirming the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data so as to evaluate the competitive power of the energy service station according to the competitive index value. By implementing the technical scheme provided by the application, the effect of rapidly evaluating the competitiveness of the energy service station is achieved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method and a device for evaluating competitiveness of an energy service station and electronic equipment.
Background
Along with the development of social economy, diversified market competition situations put higher demands on energy service stations, and various energy service stations need to continuously adjust and optimize own service and business modes according to the change of consumer demands and the change of policy environments so as to improve own competitiveness.
At present, in the related art, the evaluation of the competitiveness of the energy service station often depends on the public praise between people, the whole evaluation process is complex and time-consuming, and the competitiveness of the energy service station cannot be rapidly evaluated.
Therefore, there is an urgent need for a method, an apparatus, and an electronic device for evaluating the competitiveness of an energy service station.
Disclosure of Invention
The application provides a method and a device for evaluating the competitiveness of an energy service station and electronic equipment, which have the effect of rapidly evaluating the competitiveness of the energy service station.
In a first aspect of the present application, there is provided a method for evaluating competitiveness of an energy service station, the method comprising: acquiring an assessment data packet of an energy service station, wherein the assessment data packet comprises at least one item of assessment data, and at least one item of assessment data comprises sales volume performance data, profit performance data, customer management data, service facility data and competition environment data; distributing corresponding weight values for at least one item of the assessment data in the assessment data packet based on a preset index model, wherein the preset index model comprises a corresponding relation between the assessment data and the weight values; and confirming the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data so as to evaluate the competitive power of the energy service station according to the competitive index value.
By adopting the technical scheme, the performance of the energy service station can be comprehensively known by collecting and integrating a plurality of assessment data such as sales, profits, customer management, service facilities, competitive environment data and the like. By distributing the corresponding weight value for each assessment data, the data can be weighted according to different importance, and the assessment result is ensured to be more accurate and objective. By calculating the competition index value, the competition of the energy service station can be evaluated. This helps to quickly evaluate the competitiveness of the energy service station, thereby knowing the location and performance of the energy service station in the market competition and providing guidance for further improving the competitiveness.
Optionally, the allocating a corresponding weight value to at least one item of the assessment data in the assessment data packet based on the preset index model specifically includes: acquiring first assessment data, wherein the first assessment data is any one of the assessment data packets; searching the first assessment data in the preset index model, and determining a first weight value corresponding to the first assessment data; and distributing the first weight value for the first assessment data so as to calculate and obtain a first scoring result.
By adopting the technical scheme, the subjective factors can be reduced to the minimum by distributing the corresponding weight value for each assessment data, so that the quantitative assessment of the assessment data is realized. This can improve the objectivity and comparability of the evaluation. The preset index model allows different weight values to be allocated to different assessment data according to specific conditions. Therefore, the distribution mode of the weight values can be adjusted according to different requirements and targets, and the importance of each item of assessment data is better reflected. By integrating a plurality of assessment data and corresponding weight values, a comprehensive scoring result can be obtained, and the performance of the energy service station can be reflected more comprehensively. Different assessment data and weight values are mutually influenced, and the comprehensive scoring result can more accurately measure the overall level of the energy service station. By calculating the scoring results, powerful decision support can be provided for the management layer. The scoring result reflects the comprehensive performance of different assessment data, helps a management layer to determine the improvement direction, optimize resource allocation and formulate an effective business strategy, thereby promoting the promotion and development of the energy service station.
Optionally, the determining the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data specifically includes: calculating to obtain the first scoring result according to the first assessment data and the first weight value; acquiring second assessment data, wherein the second assessment data are assessment data except the first assessment data in the assessment data packet; searching the second assessment data in the preset index model, and determining weight values corresponding to all assessment data in the second assessment data; calculating to obtain a second scoring result based on the second assessment data and weight values corresponding to the assessment data; and summing the first scoring result and the second scoring result to confirm the competitive index value of the energy service station.
By adopting the technical scheme, the energy service station can be evaluated from different angles by using a plurality of assessment data and corresponding weight values. Each assessment data represents an important performance indicator, and by comprehensively considering all the assessment data, a more comprehensive and accurate competitive index value can be obtained. And respectively calculating scoring results of different assessment data, and carrying out weighted summation based on the weight values, so that the performance of the energy service station on each performance index can be intuitively quantified. The management layer can determine the field with poor performance according to the scoring result and take corresponding measures for improvement, so that the competitiveness is improved. Through comparative analysis of competitive index values, the management layer can know the gap between itself and competitors, find out the advantages and disadvantages of itself, and formulate corresponding competition strategies to improve the competitiveness and performance of the energy service station.
Optionally, the acquiring the assessment data packet of the energy service station specifically includes: receiving an energy service station evaluation table sent by user equipment; and fuzzy matching is carried out on the energy service station evaluation table and the assessment data so as to obtain the assessment data packet.
By adopting the technical scheme, the energy service station evaluation table sent by the user equipment is received, so that the automatic acquisition of the assessment data can be realized. This can reduce manual operations and errors and improve the efficiency of acquiring data. The energy service station evaluation table is used for evaluating and feeding back the service station by a user, and the evaluation table and the assessment data are subjected to fuzzy matching to extract information related to assessment, so that the integrity and the accuracy of an assessment data packet are ensured. By receiving the evaluation table sent by the user equipment, the latest assessment data can be obtained in time. Therefore, the assessment data packet can be consistent with the actual situation, and the problems can be found and processed in time, thereby being beneficial to the improvement and the promotion of the energy service station.
Optionally, acquiring a history check data packet of the energy service station; adopting Z-score to carry out dimensionless standardization processing on the historical examination data packet to obtain a standardized examination data matrix; and removing the evaluation deviation in the assessment data matrix by adopting a range transformation method to obtain a standardized assessment data packet.
By adopting the technical scheme, the historical examination data packet of the energy service station is acquired, so that the comparison analysis and the trend analysis can be performed. The management layer can know the performance of the energy service station in different time periods, discover the reasons and trends of performance change, and provide basis for formulating an improvement strategy. The Z-Score is adopted to carry out dimensionless normalization treatment, so that data of different indexes can be converted into standard normal distribution. Therefore, dimensional differences among different indexes can be eliminated, so that the indexes can be compared and comprehensively evaluated, and the performance of the energy service station can be evaluated more accurately. By adopting the range transformation method, the evaluation deviation can be removed, so that the evaluation data is more objective and accurate. The evaluation deviation can come from subjective evaluation of different users or the difference of evaluation standards, and the data can be adjusted to be in a uniform range by performing extremely poor transformation, so that the influence of the evaluation deviation on performance evaluation is reduced. By carrying out standardized processing on the historical checking data packet, the data of different time periods and different indexes can be compared and comprehensively evaluated. Therefore, a more accurate performance evaluation result can be obtained, and a more accurate and reliable decision basis is provided for a management layer.
Optionally, constructing a correlation coefficient matrix based on the standardized assessment data packet; based on the correlation coefficient matrix, selecting principal component factors; and determining the weight value of each item of assessment data in the standardized assessment data packet based on the principal component factors.
By adopting the technical scheme, the correlation between different assessment data can be analyzed by constructing the correlation coefficient matrix. The correlation coefficient matrix can reveal the linear relation strength and directivity among various data, and help judge the magnitude and correlation of different assessment indexes on performance. The data dimension can be reduced by selecting the principal component factors, and representative factors are extracted. Through principal component analysis, the original data can be converted into a group of irrelevant principal component factors, so that the data redundancy is reduced, the overall performance of the energy service station is better reflected, and the number of evaluation indexes is reduced. Based on the principal component factors, weight values for each item of assessment data can be determined. The weight value reflects the importance degree of different assessment indexes on performance, so that the management layer can be helped to evaluate and compare the performance of the energy service station more comprehensively, and the improvement and decision can be made in a targeted manner. By constructing a correlation coefficient matrix, selecting principal component factors and determining weight values, the accuracy and the comprehensiveness of performance evaluation can be improved. Through principal component analysis and weight determination, the raw data may be converted into fewer principal component factors and corresponding weight values. Therefore, the data analysis process is simplified, the complexity of data processing is reduced, and the management layer is convenient to compare, evaluate and make decisions.
Optionally, acquiring a weight value of each item of assessment data in the standardized assessment data packet; constructing a corresponding relation between the assessment data and the weight value; and storing the corresponding relation into the preset index model.
By adopting the technical scheme, the importance of each index on performance evaluation can be accurately measured by acquiring the weight value of each item of assessment data in the assessment data packet. The method helps the management layer to more comprehensively know the contribution degrees of different indexes, and the improvement strategy and decision are purposefully made. And constructing a corresponding relation between the assessment data and the weight value, so that the relation between the index and the weight is clear at a glance. This can help the management layer better understand the performance assessment model, facilitating communication and sharing of information. The corresponding relation is stored in a preset index model, so that the performance evaluation process can be more standardized. The method is beneficial to reducing the influence of subjective factors, improving the objectivity and comparability of the evaluation result, ensuring the evaluation result to be more accurate and reliable, helping the management layer to better understand and evaluate the performance of the energy service station and making corresponding decisions and improvements.
Optionally, after the determining the competitive index value of the energy service station, ranking and displaying the energy service station; the ranking display of the energy service stations specifically comprises the following steps: acquiring a first competitive index value of a first energy service station, wherein the first energy service station is any one of a plurality of energy service stations; acquiring a second competitive index value of a second energy service station, wherein any one energy service station except the first energy service station in the plurality of energy service stations is acquired by the second energy service station, and the first energy service station and the second energy service station are the same energy service station; comparing a magnitude relationship between the first competitive index value and the second competitive index value; if the first competitive index value is larger than the second competitive index value, determining that the ranking of the first energy service station is higher than the ranking of the second energy service station; and ranking and displaying the first energy service station and the second energy service station.
By adopting the technical scheme, the competitive power level of each energy service station can be intuitively compared by carrying out ranking display on the energy service stations. This helps the management layer and external stakeholders to more easily understand the differences between the individual energy service stations and evaluate the overall performance of each energy service station. By comparing the magnitude relation between the competitive index values of different energy service stations, important reference information is provided for a management layer, and basis is provided for further decision-making. By comparing the magnitude of the competitive index values, a ranking for each energy service station may be determined. This can help the management layer and associated stakeholders to more clearly know where each energy service station is located in the ensemble, assessing its relative performance and competitiveness. The ranking presentation provides an important reference basis for the management layer, and helps the management layer to make strategic directions and take corresponding management measures. The ranking results can reveal advantages and improvement spaces of each energy service station, and guide the management layer to make decisions in aspects of resource allocation, performance improvement and the like. By ranking the energy service stations, the transparency and fairness of the assessment process can be increased.
In a second aspect of the present application, an evaluation device for competitiveness of an energy service station is provided, where the evaluation device includes an acquisition module and a processing module, where the acquisition module is configured to acquire an assessment data packet of the energy service station, where the assessment data packet includes at least one item of assessment data, and at least one item of assessment data includes sales performance data, profit performance data, customer management data, service facility data, and competitive environment data; the processing module is used for distributing corresponding weight values for at least one item of the assessment data in the assessment data packet based on a preset index model, wherein the preset index model comprises a corresponding relation between the assessment data and the weight values; the processing module is further configured to confirm a competitive index value of the energy service station according to the assessment data and a weight value corresponding to the assessment data, so as to evaluate the competitive power of the energy service station according to the competitive index value.
In a third aspect of the application there is provided an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface, both for communicating to other devices, the processor being for executing instructions stored in the memory to cause the electronic device to perform a method as described above.
In a fourth aspect of the application there is provided a computer readable storage medium storing instructions which, when executed, perform a method as described above.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. By collecting and integrating multiple assessment data, such as sales, profits, customer management, service facilities, competitive environment data, etc., the performance of the energy service station can be comprehensively known. By distributing the corresponding weight value for each assessment data, the data can be weighted according to different importance, and the assessment result is ensured to be more accurate and objective. By calculating the competition index value, the competition of the energy service station can be evaluated. The method is helpful for rapidly evaluating the competitiveness of the energy service station, so that the position and the performance of the energy service station in the market competition are known, and guidance is provided for further improving the competitiveness;
2. By distributing the corresponding weight value for each assessment data, subjective factors can be reduced to the minimum, and quantitative assessment of the assessment data is realized. This can improve the objectivity and comparability of the evaluation. The preset index model allows different weight values to be allocated to different assessment data according to specific conditions. Therefore, the distribution mode of the weight values can be adjusted according to different requirements and targets, and the importance of each item of examination data is better reflected;
3. The performance of the energy service stations in the ranking can directly influence the positions of the energy service stations in the whole, so that the energy service stations can be stimulated by ranking results, the competitiveness and performance level of the energy service stations are positively strived to be improved, and the improvement of the whole operation is promoted. Finally, through the ranking result, the management layer can quickly know the relative performance and competitiveness of each energy service station, provides basis for decisions such as resource allocation, strategic formulation and the like, and helps the management layer to make intelligent management decisions.
Drawings
Fig. 1 is a flow chart of a method for evaluating competitiveness of an energy service station according to an embodiment of the present application.
Fig. 2 is a schematic block diagram of an apparatus for evaluating competitiveness of an energy service station according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 21. an acquisition module; 22. a processing module; 31. a processor; 32. a communication bus; 33. a user interface; 34. a network interface; 35. a memory.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The technical scheme of the application is applicable to the scene including but not limited to: the user wants to know various scores of a certain energy service station through the user equipment, and the energy service station management layer knows the advantages and disadvantages of the energy service station of the user, and the relevant monitoring departments compare and examine the energy service stations in the areas.
The application provides a method for evaluating the competitiveness of an energy service station, and referring to fig. 1, fig. 1 is a flow chart of a method for evaluating the competitiveness of an energy service station according to an embodiment of the application. The evaluation method includes steps S110 to S130, which are as follows:
S110, acquiring an assessment data packet of the energy service station, wherein the assessment data packet comprises at least one item of assessment data, and the at least one item of assessment data comprises sales volume performance data, profit performance data, customer management data, service facility data and competition environment data.
Specifically, the energy service stations include gas stations, charging stations, liquefied petroleum gas stations, natural gas filling stations, hydrogen energy stations, and the like. The gas station is used for providing fuel such as gasoline, diesel oil and the like for automobiles, motorcycles and other fuel-driven vehicles, and may also provide other services such as car washing, convenience stores and the like according to different configurations of different areas; the charging station is used for providing a service station for electric energy charging for electric driving vehicles such as electric vehicles, hybrid electric vehicles and the like, and can provide charging piles with different types and powers so as to meet the charging requirements of various electric vehicles; a liquefied petroleum gas station is used for a service station for providing fuel gas for automobiles, buses, trucks, etc. using liquefied petroleum gas as fuel, and generally provides an LPG fuel tank and filling equipment; natural gas filling stations are used to provide natural gas service stations for automobiles, buses, trucks, etc. that use natural gas (e.g., compressed natural gas, liquefied natural gas) as a fuel. Natural gas filling stations typically provide storage and filling facilities for compressed or liquefied gas; the hydrogen energy station is used for providing hydrogen fuel for the hydrogen fuel cell vehicle, and the hydrogen energy station is used for preparing and storing hydrogen and providing hydrogen filling equipment for the automobile so as to promote the development and application of the hydrogen energy technology.
In the embodiment of the application, sales volume expression data comprise oil products, convenience stores, recharging quantity and occupancy rate, wherein the oil products comprise bicycle oil filling quantity and oil product order sales volume, the convenience stores comprise commodity kiloliter ratio and commodity order forming rate, the recharging quantity comprises order quantity and sales amount, and the occupancy rate refers to sales occupancy rate; the sales performance data also includes oil sales, including market share, bicycle fuel charge, and oil order quantity, non-oil sales, which refers to single liter sales, and top-up sales, which includes order quantity duty and order amount duty. The profit performance data includes oil profit, non-oil profit, and other profit, the oil profit includes single liter purchasing gross profit, single liter promotion cost, on-line single liter marketing cost, single liter land use cost, single liter manpower cost, platform type single liter promotion cost, and single liter operation cost, the non-oil profit refers to single liter non-oil profit, and the other profit refers to other profit duty ratio.
For example, one scoring rule for scoring a bicycle fuel charge is as follows: the fuel filling amount of the 3-month bicycle of the energy service station A is 20 liters, the No. 92 gasoline accounts for 50%, the No. 95 gasoline and the No. 98 gasoline account for 30% and the diesel accounts for 20%. If the check total of the fuel filling amount of the bicycle is divided into 5 points, the fraction of the No. 92 gasoline is 2.5 points, and if the fuel filling amount of the bicycle is 15 to 35 liters, the fuel filling amount of the bicycle is divided into 20 equal parts, and after every 1 liter of fuel filling amount is increased, the fraction is increased by 0.125 point.
The customer management data includes a monthly membership card sales amount ratio, a monthly active membership number, a monthly fleet customer sales amount ratio, a monthly new membership rate, a monthly churn customer rate, a usage point system, a usage customer grouping, and a usage membership level system. The service facility data comprises software facilities, site facilities and service supports, the software facilities comprise ETC payment, license plate payment, eagle eye radar, inspection safety, electronic invoice, large oil engine screen and a third party platform, the site facilities comprise maintenance centers or repair vehicles, automobile charging, hydro-air charging, convenience stores, fast food restaurants, car washing services, breakfast, restrooms, free drinks and rest areas, the service supports comprise the number and brands of the SKUs of the convenience stores, and the brands comprise oil station brand influence, decoration grade, visual field evaluation and night light brightness. If the service facilities exist in the energy service station, the corresponding grading scores are obtained, otherwise, the corresponding grading scores are not obtained.
The competitive environment data comprise business district competition, urban competition environment, civil station proportion, customer competition condition and traffic flow competition condition, wherein the business district competition comprises business district oil station network proportion, brand preference degree, oil station price comparison and single liter promotion cost comparison; urban competitive environments refer to the number of single-station service vehicles; the civil oil station proportion refers to the preset civil oil station proportion in kilometers; customer competition refers to the preset overlap ratio of oil station customers in kilometers; the traffic competition condition refers to competition oil stations in preset kilometers of a main road; the business district competition situation refers to a main business district competition situation oil station. In the embodiment of the present application, the preset kilometer may be 10 kilometers.
In one possible implementation manner, the method for acquiring the assessment data packet of the energy service station specifically includes: receiving an energy service station evaluation table sent by user equipment; and fuzzy matching is carried out on the energy service station evaluation table and the assessment data so as to obtain an assessment data packet.
Specifically, the method for acquiring the assessment data packet may be: and receiving an energy service station evaluation table sent by the user equipment. The energy service station evaluation table is a usage evaluation table which is filled in by a customer for enhancing customer satisfaction by a manager of the energy service station. The energy service station evaluation table comprises the 6-dimension check data, and after the energy service station evaluation table is received, the check data packet is obtained by fuzzy matching with the check data. Types of user equipment include, but are not limited to: android (Android) system equipment, mobile operating system (iOS) equipment developed by apple corporation, personal Computers (PCs), global area network (Web) equipment, virtual Reality (VR) equipment, augmented Reality (Augmented Reality, AR) equipment and other equipment. In the embodiment of the application, the user equipment is a smart phone.
S120, distributing corresponding weight values for at least one item of assessment data in the assessment data packet based on a preset index model, wherein the preset index model comprises the corresponding relation between the assessment data and the weight values.
Specifically, according to a preset index model, a corresponding weight value is allocated to at least one item of assessment data in the assessment data packet. For example, sales performance data directly reflects sales conditions of the energy service station, and the weight ratio is 21%; the profit expression data embody the profit situation of the energy service station, and the weight ratio is 14%; the customer management data embody the customer preservation condition of the energy service station, and the weight ratio is 21%; the service facility data embody the software and hardware services provided for the clients, and the weight ratio is 14%; the competition environment data embody the competition condition around the energy service station, and the weight ratio is 30%.
In a possible implementation manner, based on a preset index model, a corresponding weight value is allocated to at least one item of assessment data in the assessment data packet, which specifically includes: acquiring first assessment data, wherein the first assessment data is any one of assessment data in an assessment data packet; searching first check data in a preset index model, and determining a first weight value corresponding to the first check data; and distributing a first weight value for the first assessment data so as to calculate and obtain a first scoring result.
Specifically, according to the preset index model, a first weight value corresponding to the first assessment data can be searched in the preset index model. For example, when the first assessment data is competitive environment data, the weight value corresponding to the competitive environment data can be quickly obtained to be 30%. The allocation of the specific numerical value of the weight value can be flexibly set, namely the weight value is divided according to the importance degree of each item of assessment data. In the embodiment of the application, one check data may correspond to a plurality of weight values, and one weight value may also correspond to a plurality of check data.
And S130, confirming the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data so as to evaluate the competitive power of the energy service station according to the competitive index value.
Specifically, according to the obtained assessment data and the weight value corresponding to the assessment data, the competitive index value of the energy service station can be rapidly calculated. In the embodiment of the application, the scoring result is obtained by calculating the scoring of each item of examination data and the corresponding weight value, the competitive index value is obtained by adding the scoring results corresponding to each item of examination data, and the competitive index value is used for representing the competition level of a certain energy service station. For example, a larger value of the competitiveness index indicates a stronger competitiveness of the energy service station.
In one possible implementation manner, according to the first assessment data and the first weight value, a first scoring result is obtained through calculation; acquiring second assessment data, wherein the second assessment data are assessment data except the first assessment data in an assessment data packet; searching second assessment data in a preset index model, and determining weight values corresponding to all assessment data in the second assessment data; calculating to obtain a second scoring result based on the second assessment data and weight values corresponding to the assessment data; and summing the first scoring result and the second scoring result to confirm the competitive index value of the energy service station.
Specifically, the score of the sales volume performance data of the energy service station A is 90, and the score result of the sales volume performance data obtained by calculation is 18.9 points according to the weight ratio of 21% of the sales volume performance data, namely, the first score result is 18.9 points. And acquiring scores corresponding to the profit performance data, the customer management data, the service facility data and the competition environment except the sales performance data, wherein the scores are 85, 90, 92 and 75 in sequence. The second scoring result 66.18 points are obtained after the scoring results are calculated respectively, so that the competitive index value of the energy service station a is 85.08.
In one possible implementation, a historical assessment data packet of the energy service station is obtained; adopting Z-score to carry out dimensionless standardization processing on the historical examination data packet to obtain a standardized examination data matrix; and removing the evaluation deviation in the evaluation data matrix by adopting a range transformation method to obtain a standardized evaluation data packet.
Specifically, in the above process of performing standardization processing on the historical checking data packet, the historical checking data packet of the energy service station is first obtained. Next, the Z-score method is adopted to carry out dimensionless normalization processing on the historical checking data packet, namely, the data is converted into standard normal distribution so as to carry out subsequent data analysis and comparison. The standardized assessment data matrix is obtained after the processing. Then, the evaluation bias in the evaluation data matrix is removed by adopting a range transformation method, namely, the data is mapped to between 0 and 1 in a range mode, so that the variability among the data is eliminated. Finally, standardized assessment data packets are obtained to better analyze and evaluate the assessment data.
In one possible implementation, a correlation coefficient matrix is constructed based on the standardized assessment data packet; based on the correlation coefficient matrix, selecting principal component factors; and determining the weight value of each item of assessment data in the standardized assessment data packet based on the principal component factors.
Specifically, the above is a principal component analysis method based on standardized assessment packets. Firstly, constructing a correlation coefficient matrix according to a standardized assessment data packet, wherein the correlation coefficient matrix reflects the correlation degree among various assessment data. Then, principal component factors are selected through a principal component analysis method, namely, a plurality of related assessment data are combined into a few principal component factors. By the aid of the method, dimensionality can be reduced, data is simplified, and data analysis efficiency is improved. And finally, determining weight values of all the assessment data in the standardized assessment data packet based on analysis results of the principal component factors, namely distributing the weight values according to contribution of all the assessment data in different principal component factors, so as to evaluate the comprehensive performance of the energy service station, and conveniently and rapidly evaluating the competitiveness of the energy service station according to all the assessment dimensions.
In one possible implementation manner, acquiring a weight value of each item of check data in a standardized check data packet; constructing a corresponding relation between the assessment data and the weight value; and storing the corresponding relation into a preset index model.
Specifically, the above is a process of assigning weight values to each item of assessment data and storing the same in a preset index model. Firstly, the weight value of each item of checking data in a standardized checking data packet is required to be acquired, and the corresponding relation between each item of checking data and the weight value corresponding to each item of checking data is established. And finally, storing the established corresponding relation into a preset index model for subsequent use. The preset index model comprises the information such as the names of various examination data, the corresponding weight values and the like. Therefore, when the competitive index value of the energy service station is calculated, the weight of each item of assessment data can be rapidly obtained through the preset index model, so that the weighting calculation is performed, the competitive index value of the energy service station is obtained, and the evaluation of the competitive power of the energy service station is completed.
In one possible implementation, the energy service stations are presented in a ranked order after confirming the competitiveness index value of the energy service station; ranking and displaying the energy service stations, specifically comprising the following steps: acquiring a first competitive index value of a first energy service station, wherein the first energy service station is any one of a plurality of energy service stations; acquiring a second competitive index value of a second energy service station, wherein any one energy service station except the first energy service station in the plurality of energy service stations is acquired, and the first energy service station and the second energy service station are the same energy service station; comparing the magnitude relationship between the first competitive index value and the second competitive index value; if the first competitive index value is larger than the second competitive index value, determining that the ranking of the first energy service station is higher than that of the second energy service station; and performing ranking display on the first energy service station and the second energy service station.
Specifically, the first energy service station and the second energy service station are the same energy service station, which can be understood as: the first energy service station and the second energy service station are similar stations, for example, they are gas stations or natural gas filling stations. Therefore, the ranking display enables the competitive power levels among the energy service stations to be intuitively compared, and after the ranking display is carried out on the competitive index values of the different energy service stations, people can quickly know the relative performance of each energy service station, and the method is helpful for determining the advantages and disadvantages of the energy service stations. By comparing the relationship of the competitive index values of different energy service stations, objective evaluation can be performed on the performance of the energy service stations. The ranking result is based on the magnitude relation of competitive index values, interference of subjective factors is reduced, and a relatively fair evaluation basis is provided.
In addition, the ranking presentation will be updated at a preset period, e.g., monthly or quarterly. Thus, the ranking presentation may provide an incentive mechanism for the energy service station. The performance of the energy service stations in the ranking can directly influence the positions of the energy service stations in the whole, so that the energy service stations can be stimulated by ranking results, the competitiveness and performance level of the energy service stations are positively strived to be improved, and the improvement of the whole operation is promoted. Finally, through the ranking result, the management layer can quickly know the relative performance and competitiveness of each energy service station, provides basis for decisions such as resource allocation, strategic formulation and the like, and helps the management layer to make intelligent management decisions.
In one possible embodiment, after confirming the competitiveness index value of the energy service station, the value is compared with a preset threshold value, so as to generate a competitiveness evaluation report of the energy service station including the competitiveness level.
Specifically, the evaluation report may be preset with three competitive levels, a low competitive energy service station with a competitive index value lower than 70, a medium competitive energy service station with a competitive index value between 70 and 90, and a high competitive energy service station with a competitive index value greater than 90. The competitive power evaluation report of the energy service station can be automatically generated, so that a user corresponding to the user equipment or an energy service station manager can refer to the competitive power evaluation report conveniently.
In one possible embodiment, after confirming the competitive index values of the energy service stations, an average value of the competitive index values of the plurality of the same category of energy service stations is also obtained. When the competitive index value is greater than or equal to the average value of the same class, the generated evaluation report displays the operation strategy as a maintenance strategy. The maintenance strategy is an operation strategy for ensuring the current competitive state. When the competitive index value is smaller than the average value of the same category, the generated evaluation report displays the operation strategy as the strategy to be promoted. The strategy to be promoted is an operation strategy for encouraging managers to reform the operation mode and promote competitiveness.
In addition, the evaluation report displays basic information of the energy service station, wherein the basic information comprises information such as position type, road type, city level, diesel-gasoline ratio and the like. Wherein, the above contents are all selectively displayed, for example, the location type of the energy service station a has no data source, and the item is not displayed. For another example, when the basic information of the energy service station a is shown as: "New line City XX, diesel to steam ratio 7:3".
The application further provides a device for evaluating the competitiveness of the energy service station, and referring to fig. 2, fig. 2 is a schematic block diagram of the device for evaluating the competitiveness of the energy service station according to the embodiment of the application. The evaluation device comprises an acquisition module 21 and a processing module 22, wherein the acquisition module 21 is used for acquiring an assessment data packet of the energy service station, the assessment data packet comprises at least one item of assessment data, and the at least one item of assessment data comprises sales volume expression data, profit expression data, customer management data, service facility data and competition environment data; the processing module 22 is configured to allocate a corresponding weight value to at least one item of the assessment data in the assessment data packet based on a preset index model, where the preset index model includes a correspondence between the assessment data and the weight value; the processing module 22 is further configured to confirm the competitiveness index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data, so as to evaluate the competitiveness of the energy service station according to the competitiveness index value.
In a possible implementation manner, based on a preset index model, a corresponding weight value is allocated to at least one item of assessment data in the assessment data packet, which specifically includes: the acquisition module 21 acquires first assessment data, which is any one of assessment data in an assessment data packet; the processing module 22 searches the first assessment data in the preset index model and determines a first weight value corresponding to the first assessment data; the processing module 22 assigns a first weight value to the first assessment data to calculate a first scoring result.
In one possible implementation, the processing module 22 determines the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data, and specifically includes: the processing module 22 calculates a first scoring result according to the first assessment data and the first weight value; the acquisition module 21 acquires second assessment data, which is assessment data other than the first assessment data in the assessment data packet; the processing module 22 searches the second checking data in the preset index model and determines the weight value corresponding to each checking data in the second checking data; the processing module 22 calculates a second scoring result based on the second assessment data and the weight values corresponding to the assessment data; the processing module 22 sums the first scoring result and the second scoring result to confirm the competitive index value of the energy service station.
In one possible implementation manner, the acquiring module 21 acquires an assessment data packet of the energy service station, which specifically includes: the acquisition module 21 receives an energy service station evaluation table sent by user equipment; the processing module 22 fuzzy matches the energy service station evaluation table with the assessment data to obtain an assessment data packet.
In one possible implementation, the obtaining module 21 obtains the historical assessment data packet of the energy service station; the processing module 22 performs dimensionless standardization processing on the historical examination data packet by adopting Z-score to obtain a standardized examination data matrix; the processing module 22 adopts a range transformation method to remove the evaluation deviation in the evaluation data matrix, and obtains a standardized evaluation data packet.
In one possible implementation, the processing module 22 constructs a correlation coefficient matrix based on the standardized assessment data packet; the processing module 22 selects principal component factors based on the correlation coefficient matrix; the processing module 22 determines a weight value for each item of the assessment data in the standardized assessment data packet based on the principal component factors.
In one possible implementation, the acquiring module 21 acquires a weight value of each item of the test data in the standardized test data packet; the processing module 22 constructs the corresponding relation between the assessment data and the weight value; the processing module 22 stores the correspondence to a preset index model.
In one possible implementation, the energy service stations are presented in a ranked order after the processing module 22 confirms the competitiveness index value of the energy service station; the processing module 22 performs ranking display on the energy service stations, and specifically includes: the acquisition module 21 acquires a first competitive index value of a first energy service station, which is any one of a plurality of energy service stations; the acquisition module 21 acquires a second competitive index value of a second energy service station, which is any one of the plurality of energy service stations except the first energy service station, the first energy service station and the second energy service station being the same energy service station; the processing module 22 compares the magnitude relationship between the first competitive index value and the second competitive index value; if the first competitive index value is greater than the second competitive index value, the processing module 22 determines that the ranking of the first energy service station is higher than the ranking of the second energy service station; the processing module 22 ranks the first energy service station and the second energy service station.
The application further provides an electronic device, and referring to fig. 3, fig. 3 is a schematic structural diagram of the electronic device according to an embodiment of the application. The electronic device may include: at least one processor 31, at least one network interface 34, a user interface 33, a memory 35, at least one communication bus 32.
Wherein the communication bus 32 is used to enable connected communication between these components.
The user interface 33 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 33 may further include a standard wired interface and a standard wireless interface.
The network interface 34 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 31 may comprise one or more processing cores. The processor 31 connects various parts within the overall server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 35, and invoking data stored in the memory 35. Alternatively, the processor 31 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 31 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 31 and may be implemented by a single chip.
The Memory 35 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 35 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 35 may be used to store instructions, programs, code sets, or instruction sets. The memory 35 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. The memory 35 may alternatively be at least one memory device located remotely from the aforementioned processor 31. As shown in fig. 3, an operating system, a network communication module, a user interface module, and an application program of a method of evaluating competitiveness of an energy service station may be included in the memory 35 as a kind of computer storage medium.
In the electronic device shown in fig. 3, the user interface 33 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 31 may be configured to invoke an application program in the memory 35 that stores a method for assessing the competitiveness of an energy service station, which when executed by one or more processors, causes the electronic device to perform the method as in one or more of the embodiments described above.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
The application also provides a computer readable storage medium storing instructions. When executed by one or more processors, cause an electronic device to perform the method as described in one or more of the embodiments above.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. A method for evaluating competitiveness of an energy service station, the method comprising:
Acquiring an assessment data packet of an energy service station, wherein the assessment data packet comprises at least one item of assessment data, and at least one item of assessment data comprises sales volume performance data, profit performance data, customer management data, service facility data and competition environment data;
distributing corresponding weight values for at least one item of the assessment data in the assessment data packet based on a preset index model, wherein the preset index model comprises a corresponding relation between the assessment data and the weight values;
and confirming the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data so as to evaluate the competitive power of the energy service station according to the competitive index value.
2. The evaluation method according to claim 1, wherein the assigning a corresponding weight value to at least one item of the assessment data in the assessment data packet based on the preset index model specifically includes:
acquiring first assessment data, wherein the first assessment data is any one of the assessment data packets;
Searching the first assessment data in the preset index model, and determining a first weight value corresponding to the first assessment data;
and distributing the first weight value for the first assessment data so as to calculate and obtain a first scoring result.
3. The evaluation method according to claim 2, wherein the determining the competitive index value of the energy service station according to the assessment data and the weight value corresponding to the assessment data specifically includes:
calculating to obtain the first scoring result according to the first assessment data and the first weight value;
Acquiring second assessment data, wherein the second assessment data are assessment data except the first assessment data in the assessment data packet;
Searching the second assessment data in the preset index model, and determining weight values corresponding to all assessment data in the second assessment data;
Calculating to obtain a second scoring result based on the second assessment data and weight values corresponding to the assessment data;
And summing the first scoring result and the second scoring result to confirm the competitive index value of the energy service station.
4. The method for evaluating according to claim 1, wherein the step of acquiring the assessment data packet of the energy service station specifically comprises:
receiving an energy service station evaluation table sent by user equipment;
and fuzzy matching is carried out on the energy service station evaluation table and the assessment data so as to obtain the assessment data packet.
5. The evaluation method according to claim 1, characterized in that the method further comprises:
acquiring a history check data packet of the energy service station;
Adopting Z-score to carry out dimensionless standardization processing on the historical examination data packet to obtain a standardized examination data matrix;
And removing the evaluation deviation in the assessment data matrix by adopting a range transformation method to obtain a standardized assessment data packet.
6. The method of evaluating according to claim 5, further comprising:
constructing a correlation coefficient matrix based on the standardized assessment data packet;
Based on the correlation coefficient matrix, selecting principal component factors;
And determining the weight value of each item of assessment data in the standardized assessment data packet based on the principal component factors.
7. The method of evaluating according to claim 6, further comprising:
acquiring weight values of all check data in the standardized check data packet;
Constructing a corresponding relation between the assessment data and the weight value;
and storing the corresponding relation into the preset index model.
8. The method of claim 1, wherein said energy service stations are presented in a ranked order after said confirming a competitiveness index value for said energy service station; the ranking display of the energy service stations specifically comprises the following steps:
acquiring a first competitive index value of a first energy service station, wherein the first energy service station is any one of a plurality of energy service stations;
Acquiring a second competitive index value of a second energy service station, wherein any one energy service station except the first energy service station in the plurality of energy service stations is acquired by the second energy service station, and the first energy service station and the second energy service station are the same energy service station;
comparing a magnitude relationship between the first competitive index value and the second competitive index value;
If the first competitive index value is greater than the second competitive index value, determining that the ranking of the first energy service station is higher than the ranking of the second energy service station;
And ranking and displaying the first energy service station and the second energy service station.
9. An evaluation device for the competitiveness of an energy service station, characterized in that it comprises an acquisition module (21) and a processing module (22), wherein,
The acquisition module (21) is used for acquiring an assessment data packet of the energy service station, wherein the assessment data packet comprises at least one item of assessment data, and at least one item of assessment data comprises sales volume performance data, profit performance data, customer management data, service facility data and competition environment data;
The processing module (22) is configured to allocate a corresponding weight value to at least one item of the assessment data in the assessment data packet based on a preset index model, where the preset index model includes a correspondence between the assessment data and the weight value;
the processing module (22) is further configured to confirm a competitive index value of the energy service station according to the assessment data and a weight value corresponding to the assessment data, so as to evaluate the competitiveness of the energy service station according to the competitive index value.
10. An electronic device, characterized in that the electronic device comprises a processor (31), a memory (35), a user interface (33) and a network interface (34), the memory (35) being adapted to store instructions, the user interface (33) and the network interface (34) being adapted to communicate to other devices, the processor (31) being adapted to execute the instructions stored in the memory (35) to cause the electronic device to perform the method according to any one of claims 1 to 8.
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