CN113570188A - User evaluation system based on integral for smart park - Google Patents

User evaluation system based on integral for smart park Download PDF

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CN113570188A
CN113570188A CN202110673588.7A CN202110673588A CN113570188A CN 113570188 A CN113570188 A CN 113570188A CN 202110673588 A CN202110673588 A CN 202110673588A CN 113570188 A CN113570188 A CN 113570188A
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张雅馨
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Hangzhou Lvcheng Ideal Life Industry City Technology Co ltd
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Hangzhou Lvcheng Ideal Life Industry City Technology Co ltd
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    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass

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Abstract

The invention discloses a user evaluation system based on integration for a smart park, which comprises an information registration module, a parking acquisition module, an image acquisition module, a data receiving module, an adding item judgment module, a subtracting item judgment module, a master control module, an integration measuring and calculating module and a user rating module, wherein the parking acquisition module is used for acquiring parking information; the information registration module is used for registering user information of a user allowed to enter a park, the user information comprises user identity information and user vehicle information, the vehicle information comprises vehicle type information and license plate information, a vehicle passing identifier is issued after the information is registered, the vehicle passing identifier needs to be scanned when the vehicle enters the park, and the vehicle is allowed to enter the park after the vehicle passes the identification; the image acquisition module is used for acquiring the driving image information of the vehicle in the park, and the parking acquisition module is used for the image information of the parking of the user. The invention can better evaluate the users of the intelligent park.

Description

User evaluation system based on integral for smart park
Technical Field
The invention relates to the field of intelligent parks, in particular to a user evaluation system of an intelligent park based on points.
Background
The park refers to a standard building or building group which is generally planned and constructed by governments (cooperation of civil enterprises and governments), has complete water supply, power supply, gas supply, communication, roads, storage and other supporting facilities and reasonable layout, can meet the requirements of production and scientific experiments in a certain specific industry, and comprises an industrial park, a logistics park, a metropolitan industrial park, a scientific and technological park, an creative park and the like.
When the existing user evaluation system is used, the evaluation effect on a user is not good enough, and certain influence is brought to the single use of the user evaluation system, so that the user evaluation system based on the points of the intelligent park is provided.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve current user evaluation system, when using, the evaluation effect to the user is not good enough, has brought the problem of certain influence for user evaluation system list use, consequently provides a user evaluation system based on point in wisdom garden.
The invention solves the technical problems through the following technical scheme that the parking system comprises an information registration module, a parking acquisition module, an image acquisition module, a data receiving module, an adding item judgment module, a subtracting item judgment module, a master control module, an integral measurement module and a user rating module;
the information registration module is used for registering user information of a user allowed to enter a park, the user information comprises user identity information and user vehicle information, the vehicle information comprises vehicle type information and license plate information, a vehicle passing identifier is issued after the information is registered, the vehicle passing identifier needs to be scanned when the vehicle enters the park, and the vehicle is allowed to enter the park after the vehicle passes the identification;
the parking system comprises an image acquisition module, a parking acquisition module and a parking management module, wherein the image acquisition module is used for acquiring driving image information of a vehicle in a park;
the data receiving module is used for receiving identification information of vehicles entering the park, parking image information and image information of vehicles running in the park, and sending the identification information of vehicles entering the park, the parking image information and the image information of vehicles running in the park to the scoring judgment module and the deducting item judgment module;
the system comprises an adding and dividing item judging module, a subtracting and dividing item judging module and a monitoring module, wherein the adding and dividing item judging module and the subtracting and dividing item judging module receive identification information of a vehicle entering a park, parking image information and image information of the vehicle running in the park;
the master control module generates an adding item and a subtracting item to the integral measuring and calculating module and controls the integral measuring and calculating module to carry out integral measuring and calculating, the integral measuring and calculating module measures and calculates user integral, and the user integral is sent to the user rating module;
and the user rating module carries out rating processing on the user according to the user integral state.
Preferably, the specific process of identifying when the vehicle enters the park is as follows: the method comprises the steps of extracting vehicle type information and license plate information registered in a vehicle passing identifier of a vehicle, collecting the license plate information and the vehicle information of a current vehicle through an influence collection device, allowing the vehicle to enter a park after verification is passed when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and the license plate information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information, and allowing the vehicle to enter the park after verification fails when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and any one of the license plate information registered in the vehicle passing identifier of the vehicle is different from the current vehicle license plate information.
Preferably, the specific process of the bonus item judgment module for making bonus item judgment is as follows:
the method comprises the following steps: extracting the identification times and successful identification times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the successful identification times as P;
step two: when the identification times K of the vehicle identification mark is the same as the identification success times P, a first adding item is generated;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining the average velocity MAre all made ofA preset speed threshold value M is setPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them gives the speed difference MDifference (D)；
Step five: when speed difference MDifference (D)Generating a second adding item when the sum of the first adding item and the second adding item is less than a preset value;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third adding item when the vehicle is parked at a standard parking position every time;
the specific judgment process of the standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, the two rear preset evaluation marks are shielded after a vehicle enters the parking space, and the vehicle is normally parked when the two front preset evaluation marks are exposed.
Preferably, the specific process of the subtraction item judgment module for performing subtraction item judgment is as follows:
the method comprises the following steps: extracting the identification times and the identification failure times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the identification failure times as T;
step two: calculating the ratio of the identification times K of the vehicle identification mark to the identification failure times T to obtain a failure rate KtRatio ofWhen the failure rate KtRatio ofWhen the sum of the number of the deduction items is larger than the preset value, generating a first deduction item;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining the average velocity MAre all made ofA preset speed threshold value M is setPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them is used to obtain the speed differenceMDifference (D)；
Step five: when speed difference MDifference (D)Generating a second subtraction term when the second subtraction term is larger than a preset value;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third deduction item when the vehicle is parked at a nonstandard parking position every time;
the specific judgment process of the non-standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, and when a vehicle enters the parking space and covers all the preset evaluation marks or only one preset evaluation mark is leaked, the vehicle is the nonstandard parking.
Preferably, the first adding and dividing term, the second adding and dividing term and the third adding and dividing term are preset values which are greater than 0, and the first adding and dividing term, the second adding and dividing term and the third adding and dividing term are different in size.
Preferably, the first, second and third subtractive terms are preset values smaller than 0, and the first, second and third subtractive terms are different in size.
Preferably, the specific process of the integral measurement and calculation performed by the integral measurement and calculation module is as follows: and setting a user basic score Q, and calculating the sum of the user basic score Q and the adding and subtracting terms to obtain a final integral Q of the user.
Preferably, the specific process of the user rating module for performing user rating is as follows: and extracting the user integral measured by the integral measuring and calculating module, wherein the user is rated as high grade when the user integral is larger than a preset value, the user is rated as medium grade when the user integral is within the range of the preset value, and the user is rated as low grade when the user integral is smaller than the preset value.
Compared with the prior art, the invention has the following advantages: this wisdom garden is based on user evaluation system of point, it verifies it promptly when the user gets into the garden district, can be timely know whether the user borrows other people outside the garden communication card, this kind of setting is effectual has avoided the accident that other people got into the garden and lead to take place, the better safety in wisdom garden has been guaranteed, and carry out the analysis and treatment through the parking state to the speed of traveling of vehicle in the garden and vehicle and realize the comprehensive assessment to the user, and grade the user according to user's assessment score, give the user reward of the unnecessary type or punish, this kind of setting can encourage the user to carry out more civilized driving behavior in the garden through the rating, let this kind of system be worth using widely more.
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FIG. 1 is a system block diagram of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: a user evaluation system based on integral for a smart park comprises an information registration module, a parking acquisition module, an image acquisition module, a data receiving module, an adding item judgment module, a subtracting item judgment module, a master control module, an integral measuring and calculating module and a user rating module;
the information registration module is used for registering user information of a user allowed to enter a park, the user information comprises user identity information and user vehicle information, the vehicle information comprises vehicle type information and license plate information, a vehicle passing identifier is issued after the information is registered, the vehicle passing identifier needs to be scanned when the vehicle enters the park, and the vehicle is allowed to enter the park after the vehicle passes the identification;
the parking system comprises an image acquisition module, a parking acquisition module and a parking management module, wherein the image acquisition module is used for acquiring driving image information of a vehicle in a park;
the data receiving module is used for receiving identification information of vehicles entering the park, parking image information and image information of vehicles running in the park, and sending the identification information of vehicles entering the park, the parking image information and the image information of vehicles running in the park to the scoring judgment module and the deducting item judgment module;
the system comprises an adding and dividing item judging module, a subtracting and dividing item judging module and a monitoring module, wherein the adding and dividing item judging module and the subtracting and dividing item judging module receive identification information of a vehicle entering a park, parking image information and image information of the vehicle running in the park;
the master control module generates an adding item and a subtracting item to the integral measuring and calculating module and controls the integral measuring and calculating module to carry out integral measuring and calculating, the integral measuring and calculating module measures and calculates user integral, and the user integral is sent to the user rating module;
and the user rating module carries out rating processing on the user according to the user integral state.
The specific process of identifying when the vehicle enters the park is as follows: the method comprises the steps of extracting vehicle type information and license plate information registered in a vehicle passing identifier of a vehicle, collecting the license plate information and the vehicle information of a current vehicle through an influence collection device, allowing the vehicle to enter a park after verification is passed when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and the license plate information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information, and allowing the vehicle to enter the park after verification fails when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and any one of the license plate information registered in the vehicle passing identifier of the vehicle is different from the current vehicle license plate information.
The specific process of the bonus item judgment module for carrying out bonus item judgment is as follows:
the method comprises the following steps: extracting the identification times and successful identification times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the successful identification times as P;
step two: when the identification times K of the vehicle identification mark is the same as the identification success times P, a first adding item is generated;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining a speed average value M, and setting a preset speed threshold value MPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them gives the speed difference MDifference (D)；
Step five: when speed difference MDifference (D)Generating a second adding item when the sum of the first adding item and the second adding item is less than a preset value;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third adding item when the vehicle is parked at a standard parking position every time;
the specific judgment process of the standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, the two rear preset evaluation marks are shielded after a vehicle enters the parking space, and the vehicle is normally parked when the two front preset evaluation marks are exposed.
The specific process of the subtraction item judgment module for carrying out subtraction item judgment is as follows:
the method comprises the following steps: extracting the identification times and the identification failure times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the identification failure times as T;
step two: calculating the ratio of the identification times K of the vehicle identification mark to the identification failure times T to obtain a failure rate KtRatio ofWhen the failure rate KtRatio ofWhen the sum of the number of the deduction items is larger than the preset value, generating a first deduction item;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining a speed average value M, and setting a preset speed threshold value MPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them gives the speed difference MDifference (D)；
Step five: when speed difference MDifference (D)Greater than predeterminedGenerating a second subtraction term when the value is positive;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third deduction item when the vehicle is parked at a nonstandard parking position every time;
the specific judgment process of the non-standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, and when a vehicle enters the parking space and covers all the preset evaluation marks or only one preset evaluation mark is leaked, the vehicle is the nonstandard parking.
The first adding and dividing item, the second adding and dividing item and the third adding and dividing item are preset values which are larger than 0, and the first adding and dividing item, the second adding and dividing item and the third adding and dividing item are different in size.
The first, second and third subtractive terms are preset values less than 0, and the first, second and third subtractive terms are different in size.
The specific process of the integral measurement and calculation by the integral measurement and calculation module is as follows: setting a user basic score Q, and calculating the sum of the user basic score Q and the adding and subtracting terms to obtain a user final integral QFinal (a Chinese character of 'gan')。
The specific process of the user rating module for rating the user is as follows: extracting the user integral measured by the integral measuring and calculating module, when the user integral is larger than a preset value, grading the user as high grade, when the user integral is within the range of the preset value, grading the user as medium grade, and when the user integral is smaller than the preset value, grading the user as low grade;
and (3) carrying out different types of rewards and punishment on users with different user ratings, such as higher-grade and higher-integral users for parking fee reduction, low-integral and low-grade users for other punishment behaviors and the like.
When the system is used, an information registration module registers user information of a user allowed to enter a park, the user information comprises user identity information and user vehicle information, the vehicle information comprises vehicle type information and license plate information, a vehicle passing identifier is issued after the information registration, the vehicle passing identifier is required to be scanned when the system enters the park, the vehicle is allowed to enter the park after the identification is passed, an image acquisition module is used for acquiring driving image information of the vehicle in the park, a parking acquisition module is used for image information of parking of the user, a data receiving module is used for receiving the identification information of the vehicle entering the park, the image information of parking and the image information of the vehicle driving in the park, and sending the identification information of the vehicle entering the park, the image information of parking and the image information of the vehicle driving in the park to an adding item judgment module and a subtracting item judgment module, the system comprises an adding item judgment module and a subtracting item judgment module, wherein the adding item judgment module and the subtracting item judgment module receive identification information of a vehicle entering a garden, parking image information and image information of the vehicle running in the garden, the adding item judgment module and the subtracting item judgment module process the identification information of the vehicle entering the garden, the parking image information and the image information of the vehicle running in the garden to generate an adding item and a subtracting item, the master control module sends the adding item and the subtracting item to an integral measurement module and controls the integral measurement module to perform integral measurement, the integral measurement module measures user integral, the user integral is sent to a user rating module, the user rating module performs rating processing on a user according to the user integral state, the user rating module verifies the user when entering the garden and can timely know whether the user borrows others outside a garden certificate or not, and the system effectively avoids accidents caused by the outsiders entering the garden, the safety of wisdom garden has been better guaranteed to carry out analysis processes through the speed of traveling and the parking state of vehicle to the vehicle in the garden and realize the comprehensive assessment to the user, and grade the user according to user's assessment score, give the user reward or punishment of the unnecessary type, this kind of setting can encourage the user to carry out more civilized driving behavior in the garden through the rating, lets this system be worth using widely more.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example 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, structures, materials, 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 (8)

1. A user evaluation system based on integral for a smart park is characterized by comprising an information registration module, a parking acquisition module, an image acquisition module, a data receiving module, an adding item judgment module, a subtracting item judgment module, a master control module, an integral measuring and calculating module and a user rating module;
the information registration module is used for registering user information of a user allowed to enter a park, the user information comprises user identity information and user vehicle information, the vehicle information comprises vehicle type information and license plate information, a vehicle passing identifier is issued after the information is registered, the vehicle passing identifier needs to be scanned when the vehicle enters the park, and the vehicle is allowed to enter the park after the vehicle passes the identification;
the parking system comprises an image acquisition module, a parking acquisition module and a parking management module, wherein the image acquisition module is used for acquiring driving image information of a vehicle in a park;
the data receiving module is used for receiving identification information of vehicles entering the park, parking image information and image information of vehicles running in the park, and sending the identification information of vehicles entering the park, the parking image information and the image information of vehicles running in the park to the scoring judgment module and the deducting item judgment module;
the system comprises an adding and dividing item judging module, a subtracting and dividing item judging module and a monitoring module, wherein the adding and dividing item judging module and the subtracting and dividing item judging module receive identification information of a vehicle entering a park, parking image information and image information of the vehicle running in the park;
the master control module generates an adding item and a subtracting item to the integral measuring and calculating module and controls the integral measuring and calculating module to carry out integral measuring and calculating, the integral measuring and calculating module measures and calculates user integral, and the user integral is sent to the user rating module;
and the user rating module carries out rating processing on the user according to the user integral state.
2. The intelligent campus point based user evaluation system of claim 1 wherein: the specific process of identifying when the vehicle enters the park is as follows: the method comprises the steps of extracting vehicle type information and license plate information registered in a vehicle passing identifier of a vehicle, collecting the license plate information and the vehicle information of a current vehicle through an influence collection device, allowing the vehicle to enter a park after verification is passed when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and the license plate information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information, and allowing the vehicle to enter the park after verification fails when the vehicle type information registered in the vehicle passing identifier of the vehicle is the same as the current vehicle information and any one of the license plate information registered in the vehicle passing identifier of the vehicle is different from the current vehicle license plate information.
3. The intelligent campus point based user evaluation system of claim 1 wherein: the specific process of the bonus item judgment module for carrying out bonus item judgment is as follows:
the method comprises the following steps: extracting the identification times and successful identification times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the successful identification times as P;
step two: when the identification times K of the vehicle identification mark is the same as the identification success times P, a first adding item is generated;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining a speed average value M, and setting a preset speed threshold value MPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them gives the speed difference MDifference (D)；
Step five: when speed difference MDifference (D)Generating a second adding item when the sum of the first adding item and the second adding item is less than a preset value;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third adding item when the vehicle is parked at a standard parking position every time;
the specific judgment process of the standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, the two rear preset evaluation marks are shielded after a vehicle enters the parking space, and the vehicle is normally parked when the two front preset evaluation marks are exposed.
4. The intelligent campus point based user evaluation system of claim 1 wherein: the specific process of the subtraction item judgment module for carrying out subtraction item judgment is as follows:
the method comprises the following steps: extracting the identification times and the identification failure times of the vehicle identification identifier, marking the identification times of the vehicle identification identifier as K, and marking the identification failure times as T;
step two: calculating the ratio of the identification times K of the vehicle identification mark to the identification failure times T to obtain a failure rate KtRatio ofWhen the failure rate KtRatio ofWhen the sum of the number of the deduction items is larger than the preset value, generating a first deduction item;
step three: extracting real-time image information of vehicles entering a park, randomly extracting vehicle running image information acquired by x cameras, and acquiring vehicle running speed information from the image information, wherein the information is marked as Mx, and x is more than or equal to 3;
step four: by the formula (M1+ M2+ M3 … … Mx)/x ═ MAre all made ofObtaining the average velocity MAre all made ofA preset speed threshold value M is setPreparation ofCalculating the mean velocity MPreparation ofAnd a preset speed threshold value MPreparation ofThe difference between them gives the speed difference MDifference (D)；
Step five: when speed difference MDifference (D)Generating a second subtraction term when the second subtraction term is larger than a preset value;
step six: extracting parking image information of the vehicle, acquiring the number of times of parking of the vehicle, and generating a third deduction item when the vehicle is parked at a nonstandard parking position every time;
the specific judgment process of the non-standard parking is as follows: the parking space is characterized in that the preset evaluation marks are arranged at four corners of the parking space, and when a vehicle enters the parking space and covers all the preset evaluation marks or only one preset evaluation mark is leaked, the vehicle is the nonstandard parking.
5. A smart campus point based user assessment system according to claim 3 wherein: the first adding and dividing item, the second adding and dividing item and the third adding and dividing item are preset values which are larger than 0, and the first adding and dividing item, the second adding and dividing item and the third adding and dividing item are different in size.
6. The intelligent campus point based user evaluation system of claim 4, wherein the first, second and third subtractions are all preset values less than 0, and the first, second and third subtractions have different sizes.
7. The intelligent campus point based user evaluation system of claim 1 wherein: the specific process of the integral measurement and calculation by the integral measurement and calculation module is as follows: setting a user basic score Q, and calculating the sum of the user basic score Q and the adding and subtracting terms to obtain a user final integral QFinal (a Chinese character of 'gan')。
8. The intelligent campus point based user evaluation system of claim 1 wherein: the specific process of the user rating module for rating the user is as follows: and extracting the user integral measured by the integral measuring and calculating module, wherein the user is rated as high grade when the user integral is larger than a preset value, the user is rated as medium grade when the user integral is within the range of the preset value, and the user is rated as low grade when the user integral is smaller than the preset value.
CN202110673588.7A 2021-06-17 2021-06-17 User evaluation system based on integral for smart park Withdrawn CN113570188A (en)

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Cited By (1)

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CN115798098A (en) * 2023-01-30 2023-03-14 中海油能源物流有限公司 Intelligent management and control method for vehicles in logistics park

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115798098A (en) * 2023-01-30 2023-03-14 中海油能源物流有限公司 Intelligent management and control method for vehicles in logistics park

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Application publication date: 20211029