Task issuing system of charging pile platform

Abstract

The invention provides a task issuing system of a charging pile platform, which belongs to the technical field of new energy automobile charging and comprises a task triggering module, a task pushing module, a completeness evaluation module and a reward and punishment module. Full-process automation from'problem discovery 'to'closed-loop processing' is realized through an illegal behavior orientation task, and the manual intervention cost is reduced; through reward incentive and punishment constraints, behaviors such as user parking and equipment use are effectively standardized; diversified task types (conventional tasks and violation processing tasks) are supported, high-frequency pain points in charging pile operation are covered, and the practicability of the platform is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of new energy vehicle charging technology, and in particular to a charging pile platform task publishing system that supports targeted task push, multi-dimensional completion evaluation, charging fee deduction rewards, and targeted task push and penalties for violations. Background Art

[0002] Existing charging pile platforms primarily provide basic charging services and lack mechanisms for task release and user interaction. This results in reliance on on-site human management or scheduled inspections to address specific violations (such as vehicles occupying parking spaces and equipment damage) and some operational tasks (such as sanitation and equipment inspections). Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a task issuing system for a charging pile platform to improve user participation and optimize operational efficiency.

[0004] The technical solution of the present invention is:

[0005] A task issuing system for a charging pile platform, including

[0006] Task trigger module: supports timing, manual and monitoring triggering methods.

[0007] Task push module: supports targeted push and public release. The targeted push includes active matching based on user portraits and passive triggering based on violation detection.

[0008] Completion evaluation module: multi-dimensional scoring of task duration, difficulty, quality, response time, rectification effect and historical credit.

[0009] Reward and Punishment Module: Provide charging fee deduction rewards based on the degree of completion, and impose penalties such as point deduction and charging restrictions on users who fail to complete the violation handling tasks.

[0010] Further,

[0011] Timed trigger: can be triggered according to the preset time.

[0012] Manual trigger: Triggered after the staff fills in the form.

[0013] Monitoring trigger: triggered based on charging station evaluation and sensor monitoring.

[0014] The monitoring includes reading platform site evaluations, reading geomagnetic induction, image recognition, and sensor data collection data, which are used to identify behaviors such as one vehicle occupying two seats, garbage accumulation, and equipment damage, and trigger directional tasks.

[0015] Further,

[0016] Supports targeted push including tasks triggered by illegal behaviors.

[0017] Targeted push, including:

[0018] User profile matching: Generates a profile based on the user's charging history, credit score, and geographic location, and pushes targeted adaptation tasks. Violation-targeted tasks: Detects violations through geomagnetic sensing and camera recognition, and automatically generates targeted tasks.

[0019] Public release: Public tasks for all users, which users can claim on their own.

[0020] Further,

[0021] Evaluation indicator system, including:

[0022] Basic tasks: time consumption, difficulty, quality, and compliance.

[0023] Violation handling tasks: Added response time limit.

[0024] Evaluation model: The analytic hierarchy process (AHP) is combined with a machine learning algorithm to dynamically adjust the indicator weights and output a completion score of 0-100 points.

[0025] Further,

[0026] Reward rules, including:

[0027] Completion rate ≥ 80 points: Charging fees will be deducted proportionally and additional points will be awarded.

[0028] Completion score 60-79 points: only basic fees can be deducted.

[0029] Penalty rules:

[0030] Violation handling tasks are not completed:

[0031] First failure: 50 points will be deducted from the account and charging privileges during peak hours will be restricted for 24 hours.

[0032] If the task is not completed for 3 times in total, the user will be included in the credit blacklist and the charging price will be increased by 10% until the historical task is completed.

[0033] False completion: If forged vouchers are discovered through image recognition or manual review, double points will be deducted and the violation record will be made public.

[0034] The beneficial effects of the present invention are

[0035] 1. Refined operations: Through targeted tasks for violations, the entire process from "problem discovery" to "closed-loop processing" is automated, reducing the cost of manual intervention.

[0036] 2. User behavior guidance: Combining reward incentives with penalty constraints, effectively regulate user parking, equipment usage and other behaviors, and improve the efficiency of charging pile use.

[0037] 3. Scenario adaptability: Supports diverse task types (regular tasks + violation handling tasks), covers high-frequency pain points in charging pile operations, and enhances the practicality of the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the system architecture of the present invention; Figure 2 It is a schematic diagram of the workflow of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0040] The present invention proposes a task issuing system for a charging pile platform, comprising

[0041] 1. Task trigger module: supports timing, manual, monitoring and other triggering methods. Monitoring includes reading platform station evaluation, reading geomagnetic induction, image recognition, sensor data collection and other technologies, which are used to identify behaviors such as one car occupying two seats, garbage accumulation, equipment damage, etc. and trigger directional tasks.

[0042] 2. Task push module: supports targeted push (including tasks triggered by violations) and public release. The targeted push includes active matching based on user profiles and passive triggering based on violation detection;

[0043] 3. Completion Evaluation Module: Provides multi-dimensional scoring based on task duration, difficulty, quality, response time, rectification effect, and historical credit history;

[0044] 4. Reward and Punishment Module: Provide charging fee deduction rewards based on the degree of completion, and impose penalties such as point deduction and charging restrictions on users who fail to complete the violation handling tasks.

[0045] in,

[0046] 1. Task trigger module:

[0047] 1. Timed trigger: It can be triggered according to the preset time (such as "venue hygiene feedback", "queue situation reporting" and other tasks).

[0048] 2. Manual trigger: Triggered by staff filling in the form.

[0049] 3. Monitoring trigger: Based on the charging station evaluation, sensor monitoring, etc. (For example, if the charging station receives a lot of "dirty and messy" evaluations, a "cleaning" task may be triggered)

[0050] 2. Task classification and push module:

[0051] Dual-mode task push:

[0052] 1. Task Tags:

[0053] 1.1. Different difficulty levels can be set (hard, standard, easy)

[0054] 1.2. You can set a time limit (such as 1 hour),

[0055] 1.3. Position requirements can be set (such as pile No. xx to No. xx)

[0056] 1.4. Whether to allow multiple users to accept orders can be set

[0057] 2. Targeted push:

[0058] 2.1. User Profile Matching: Generate a profile based on the user's charging history, credit score, and geographic location, and push targeted adaptation tasks (such as pushing a "queue status report" task to on-site users). This user group includes internal operations and maintenance personnel, making it easier to push relatively specialized tasks (such as equipment troubleshooting).

[0059] 2.2. Targeted tasks for violations: Detect violations (such as occupying spaces and garbage accumulation) through technologies such as geomagnetic induction and camera recognition, and automatically generate targeted tasks (such as "one car occupies two seats" and "clean up the area around charging piles" and push them to responsible users).

[0060] 3. Public release: Public tasks for all users (such as charging data collection and equipment failure feedback), which users can claim on their own.

[0061] 3. Multi-dimensional completion evaluation module:

[0062] 1. Evaluation index system:

[0063] 1.1. Basic tasks: time consumption (weight 30%), difficulty (20%), quality (30%), and compliance (20%, such as whether the certificate is uploaded as required).

[0064] 1.2. Violation handling tasks: Newly added response time (40%, such as whether the violation is handled within the specified time), rectification effect (30%, verification of compliance through geomagnetic induction, image recognition, etc.), and historical violation count (30%, affecting the basic score).

[0065] 2. Evaluation model: The analytic hierarchy process (AHP) is combined with a machine learning algorithm to dynamically adjust the indicator weights and output a completion score of 0-100 points.

[0066] 4. Reward and Punishment Module

[0067] 1. Reward Rules:

[0068] 1.1. Completion score ≥ 80 points: Charging fees will be deducted proportionally (1 point = 0.1 yuan, with a maximum deduction of 50% for a single charge), and additional points will be awarded (100 points for a 100-point task, which can be redeemed for value-added services).

[0069] 1.2. Completion score 60-79: Only basic fees will be deducted (1 point = 0.05 yuan).

[0070] 2. Penalty rules:

[0071] Violation handling tasks are not completed:

[0072] 2.1. First failure: 50 points will be deducted from the account and charging privileges during peak hours will be restricted for 24 hours.

[0073] 2.2. If the task is not completed for three times in total: the user will be placed on the credit blacklist and the charging price will be increased by 10% until the task is completed.

[0074] False completion: If forged vouchers are discovered through image recognition or manual review, double points will be deducted and the violation record will be made public.

[0075] First Example: One Car Occupies Two Violations

[0076] 1. Task triggering: The geomagnetic sensing system detects that a vehicle is parked beyond the parking space line. The camera recognizes the license plate and associates it with the user account. The system automatically generates a "Standardized Parking" task, requiring the user to adjust the parking space within 30 minutes.

[0077] 2. Targeted push: The task will be pushed to the user involved via APP pop-up window or SMS, along with a standard parking space diagram and operating instructions.

[0078] 3. Completion evaluation:

[0079] 3.1. Response time: If the user completes the parking space adjustment within 25 minutes, he / she will be awarded 40 points (out of 40 points).

[0080] 3.2. Correction effect: The camera will identify and confirm parking regulations for the second time, and get 30 points (out of 30 points).

[0081] 3.3. Historical Violations: This is the first violation by the user and he / she will be awarded 30 points (out of a total of 30 points).

[0082] 3.4. Comprehensive score: 100 points, full reward of 5 yuan charging discount coupon.

[0083] 4. Penalty for non-completion: If the user fails to complete the task within 30 minutes, the system will automatically deduct 50 points and the unit price will increase by 5% the next time the task is completed.

[0084] Second Example: Charging Pile Sanitation Cleaning Task

[0085] 1. Task release: The operator releases a public task "Clean up garbage around the XX charging pile", sets the duration to 2 hours, the difficulty coefficient to 0.6, and requires uploading photos of the cleaned area.

[0086] 2. User acceptance and completion: User A accepts the task, completes the cleaning and uploads qualified photos in 1.5 hours, and the completion score = (1.5 / 2×30%) + (0.6×20%) + (90 points of photo review×30%) +

[0087] (No violation record 20%) = 82 points.

[0088] 3. Rewards: Receive a charging discount coupon worth 82 x 0.1 = 8.2 yuan, which can be used to directly deduct the cost of charging next time.

[0089] The above description is only a preferred embodiment of the present invention and is only used to illustrate the technical solution of the present invention, and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included in the scope of protection of the present invention.

Claims

1. A task issuing system for a charging pile platform, characterized in that: include Task trigger module: supports timing, manual and monitoring triggering modes; Task push module: supports targeted push and public release. The targeted push includes active matching based on user profiles and passive triggering based on violation detection; Completion evaluation module: multi-dimensional scoring of task duration, difficulty, quality, response time, rectification effect and historical credit; Reward and Punishment Module: Provide charging fee deduction rewards based on the degree of completion, and impose penalties such as point deduction and charging restrictions on users who fail to complete the violation handling tasks.

2. The system according to claim 1, wherein: Timed trigger: can be triggered according to the preset time; Manual trigger: triggered after the staff fills in the form; Monitoring trigger: triggered based on charging station evaluation and sensor monitoring.

3. The system according to claim 2, characterized in that The monitoring includes reading platform site evaluations, reading geomagnetic induction, image recognition, and sensor data collection data, which are used to identify behaviors such as one vehicle occupying two seats, garbage accumulation, and equipment damage, and trigger directional tasks.

4. The system according to claim 1, wherein: Supports targeted push including tasks triggered by illegal behaviors.

5. The system according to claim 1, wherein: Targeted push, including: User profile matching: Generates a profile based on the user's historical charging records, credit score, and geographic location, and pushes targeted adaptation tasks; Illegal directional tasks: Detect illegal behaviors through geomagnetic sensing and camera recognition, and automatically generate directional tasks; Public release: Public tasks for all users, which users can claim on their own.

6. The system according to claim 5, characterized in that Users include internal operation and maintenance personnel, which makes it easier to perform relatively professional tasks.

7. The system according to claim 1, wherein: Evaluation indicator system, including: Basic tasks: time consumption, difficulty, quality, and compliance; Violation handling tasks: added response time limit; Evaluation model: The analytic hierarchy process (AHP) is combined with a machine learning algorithm to dynamically adjust the indicator weights and output a completion score of 0-100 points.

8. The system according to claim 1, wherein: Reward rules, including: Completion score ≥80 points: Charging fee will be deducted in proportion and additional points will be awarded; Completion score 60-79: only basic fees will be deducted; Penalty rules: Violation handling tasks are not completed: First failure: 50 points will be deducted from the account and charging privileges during peak hours will be restricted for 24 hours; If the task is not completed for three times in total: the user will be placed on the credit blacklist and the charging price will be increased by 10% until the task is completed. False completion: If forged vouchers are discovered through image recognition or manual review, double points will be deducted and the violation record will be made public.

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