Sanitation vehicle operation evaluation method, system and device and medium

Abstract

The invention provides a sanitation vehicle operation evaluation method, which comprises the steps of determining first evaluation data of a sanitation vehicle based on trajectory comparison; determining second evaluation data of the environmental sanitation operation vehicle based on state comparison; on the basis of operation mode comparison, third evaluation data of the environmental sanitation operation vehicle are determined; and based on the evaluation data, determining an operation score of the environmental sanitation operation vehicle. Operation evaluation can be performed based on multi-dimensional data such as trajectory data, operation states, operation speeds, driving behaviors and image front-back comparison, so that the management effectiveness is improved.

Description

Technical Field

[0001] This specification relates to the field of sanitation vehicle management and control technology, and in particular to a sanitation vehicle operation evaluation method, system, device and medium. Background Art

[0002] With the advancement of smart city construction, the demand for intelligent sanitation operations is growing. Simultaneously, with the large-scale application of new energy sanitation vehicles, evaluating the true effectiveness of sweeper and washer operations has become a management challenge. Currently, there is a lack of systematic and objective methods for evaluating operational quality.

[0003] Therefore, it is necessary to provide an improved sanitation vehicle operation evaluation method, system, device and medium, which can realize operation evaluation based on multi-dimensional data such as trajectory data, operation status, operation speed, driving behavior and before-and-after image comparison to improve management effectiveness. Summary of the Invention

[0004] One or more embodiments of the present specification provide a method for evaluating the operation of a sanitation vehicle, comprising: determining first evaluation data of the sanitation vehicle based on trajectory comparison; determining second evaluation data of the sanitation vehicle based on state comparison; determining third evaluation data of the sanitation vehicle based on operation mode comparison; determining an operation score of the sanitation vehicle based on the evaluation data; the evaluation data comprising at least one of the first evaluation data, the second evaluation data, and the third evaluation data.

[0005] In some embodiments, the evaluation data further includes driving behavior evaluation data; the method further includes: determining the driving behavior evaluation data based on the collected driving behavior data and a driving evaluation model.

[0006] In some embodiments, the evaluation data further includes cleanliness evaluation data; the method further includes: collecting image data before and after the operation; and determining the cleanliness evaluation data based on a comparison of the image data before and after the operation.

[0007] In some embodiments, determining the operation score of the sanitation vehicle based on the evaluation data includes: determining the operation score of the sanitation vehicle based on the evaluation data through a scoring model, and the scoring model is a machine learning model.

[0008] In some embodiments, the method further includes: in response to the homework score being lower than a score threshold, pushing a warning message to a preset platform.

[0009] In some embodiments, determining the first evaluation data of the sanitation vehicle based on trajectory comparison includes: obtaining the real-time operation trajectory of the sanitation vehicle; comparing the real-time operation trajectory with the task area map to determine a first comparison result, the first comparison result including at least one of whether the target operation area is covered, whether it is missed, and whether it is re-scanned; determining the first evaluation data based on the first comparison result.

[0010] In some embodiments, the determination of the second evaluation data of the sanitation vehicle based on status comparison includes: determining the start and stop status of the sanitation vehicle based on CAN bus data; determining the second comparison result based on the start and stop status in combination with the first comparison result, the second comparison result including at least one of whether there is idling and whether there is a false sweep; determining the second evaluation data based on the second comparison result.

[0011] At the same time, one or more embodiments of the specification provide a sanitation vehicle operation evaluation system, including a first evaluation module, configured to: determine the first evaluation data of the sanitation operation vehicle based on trajectory comparison; a second evaluation module, configured to: determine the second evaluation data of the sanitation operation vehicle based on state comparison; a third evaluation module, configured to: determine the third evaluation data of the sanitation operation vehicle based on operation mode comparison; an operation scoring module, configured to: determine the operation score of the sanitation operation vehicle based on the evaluation data; the evaluation data includes at least one of the first evaluation data, the second evaluation data, and the third evaluation data.

[0012] One or more embodiments of the present specification provide a sanitation vehicle operation evaluation device, comprising a processor, wherein the processor is configured to execute the sanitation vehicle operation evaluation method.

[0013] One or more embodiments of the present specification provide a computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes a sanitation vehicle operation evaluation method.

[0014] Beneficial Effects: This invention can objectively, multi-dimensionally, and quantitatively evaluate the operational effectiveness of new energy sanitation sweepers, addressing the single-dimensionality and one-sided evaluation issues of existing solutions. Through intelligent fusion and platform integration, it improves the automation level of operational supervision, contributing to improved government regulatory efficiency and greater transparency in business operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] This specification will be further described in the form of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting, and in these embodiments, like numbers represent like structures, wherein:

[0016] Figure 1 is a schematic diagram of a sanitation vehicle operation evaluation system according to some embodiments of this specification;

[0017] Figure 2 is an exemplary flow chart of a sanitation vehicle operation evaluation method according to some embodiments of this specification;

[0018] Figure 3 is an exemplary schematic diagram of a scoring model according to some embodiments of this specification. DETAILED DESCRIPTION

[0019] To more clearly illustrate the technical solutions of the embodiments of this specification, the following briefly describes the drawings required for describing the embodiments. Obviously, the drawings described below are merely examples or embodiments of this specification. Those skilled in the art can apply this specification to other similar scenarios based on these drawings without inventive effort. Unless otherwise apparent from the context or otherwise noted, the same reference numerals in the figures represent the same structure or operation.

[0020] It should be understood that the terms "system," "device," "unit," and / or "module" used herein are a method for distinguishing different components, elements, parts, portions, or assemblies at different levels. However, if other terms can achieve the same purpose, the terms may be replaced by other expressions.

[0021] As used in this specification and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not refer to the singular but also include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0022] Flowcharts are used throughout this specification to illustrate the operations performed by systems according to embodiments of this specification. It should be understood that preceding or following operations do not necessarily need to be performed in exact order. Instead, the steps may be processed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0023] Existing solutions struggle to comprehensively assess operational quality based solely on trajectory and operational status, resulting in issues such as false sweeps and inappropriate speeds. Lacking driver behavior monitoring, image comparison mechanisms, and a unified scoring system, they struggle to meet the practical needs of refined urban sanitation management. This invention aims to provide a multi-dimensional, quantifiable, and early warning method for evaluating the operational effectiveness of new energy sanitation sweepers, enhancing the visualization, standardization, and intelligence of the operational process.

[0024] Figure 1 It is an exemplary module diagram of a sanitation vehicle operation evaluation system according to some embodiments of this specification.

[0025] In some embodiments, as Figure 1 As shown, the sanitation vehicle operation evaluation system 100 may include a first evaluation module 110 , a second evaluation module 120 , a third evaluation module 130 , and an operation scoring module 140 .

[0026] In some embodiments, the first evaluation module is configured to determine first evaluation data of the sanitation vehicle based on trajectory comparison.

[0027] In some embodiments, the first evaluation module is further configured to obtain the real-time operation trajectory of the sanitation vehicle; compare the real-time operation trajectory with the task area map to determine a first comparison result, the first comparison result including at least one of whether the target operation area is covered, whether it is missed, and whether it is re-scanned; determine the first evaluation data based on the first comparison result.

[0028] In some embodiments, the second evaluation module is configured to determine second evaluation data of the sanitation vehicle based on status comparison.

[0029] In some embodiments, the second evaluation module is further configured to determine the start and stop status of the sanitation vehicle based on CAN bus data; based on the start and stop status, combined with the first comparison result, determine the second comparison result, the second comparison result including whether there is idling or whether there is at least one of false sweep; based on the second comparison result, determine the second evaluation data.

[0030] In some embodiments, the third evaluation module is configured to determine third evaluation data of the sanitation vehicle based on operation mode comparison.

[0031] In some embodiments, the operation scoring module is configured to: determine the operation score of the sanitation operation vehicle based on evaluation data; the evaluation data includes at least one of the first evaluation data, the second evaluation data, and the third evaluation data.

[0032] In some embodiments, the operation scoring module is further configured to: determine the operation score of the sanitation operation vehicle based on the evaluation data through a scoring model, and the scoring model is a machine learning model.

[0033] It should be noted that the above description of the sanitation vehicle operation evaluation system and its modules is for convenience only and does not limit this specification to the scope of the embodiments. It is understandable that those skilled in the art, after understanding the principles of the system, may arbitrarily combine the modules or form subsystems connected with other modules without deviating from the principles. In some embodiments, Figure 1 The first evaluation module 110, the second evaluation module 120, the third evaluation module 130, and the assignment scoring module 140 can be different modules within a system, or a single module can implement the functions of two or more of the aforementioned modules. For example, each module can share a storage module, or each module can have its own storage module. Such variations are within the scope of protection of this specification.

[0034] Figure 2 This is an exemplary flow chart of a sanitation vehicle operation evaluation method according to some embodiments of this specification. Figure 2 As shown, the process 200 includes the following steps. In some embodiments, the process 200 can be executed by a sanitation vehicle operation evaluation system.

[0035] Step 210: Determine first evaluation data of the sanitation vehicle based on trajectory comparison.

[0036] In some embodiments, step 210 specifically includes the following steps:

[0037] Obtain the real-time operation trajectory of the sanitation vehicle; compare the real-time operation trajectory with the task area map to determine a first comparison result, wherein the first comparison result includes at least one of whether the target operation area is covered, whether it is missed, and whether it is re-scanned; determine the first evaluation data based on the first comparison result.

[0038] For example, the sanitation vehicle operation assessment system can be based on a high-precision positioning system to record the vehicle operation trajectory in real time, compare it with the mission area map, analyze whether the target operation area is covered, identify problems such as missed sweeps and repeated sweeps, and realize trajectory integrity and coverage analysis.

[0039] Step 220: Determine the second evaluation data of the sanitation vehicle based on the status comparison.

[0040] In some embodiments, step 220 specifically includes the following steps:

[0041] Based on the CAN bus data, the start and stop status of the sanitation vehicle is determined; based on the start and stop status, combined with the first comparison result, a second comparison result is determined, the second comparison result including at least one of whether there is idling and whether there is a false sweep; based on the second comparison result, the second evaluation data is determined.

[0042] For example, the sanitation vehicle operation assessment system can determine the start and stop status of the upper operating equipment through CAN bus data, and integrate it with the trajectory data to analyze whether there are invalid operations such as idling and empty sweeping, thereby realizing operation status recognition and start and stop matching.

[0043] Step 230: Determine third evaluation data of the sanitation vehicle based on the operation mode comparison.

[0044] In some embodiments, step 230 specifically includes the following steps:

[0045] Obtaining an operating mode of the sanitation vehicle; comparing the operating mode with a preset mode set to determine a third comparison result, wherein the third comparison result includes whether there is a speed abnormality.

[0046] For example, the sanitation vehicle operation evaluation system can set a reasonable speed range based on the operation mode, analyze whether the operation process is carried out within the recommended speed range, avoid abnormal speed leading to poor operation results, and realize the compliance identification of operation speed and intensity.

[0047] Step 240: Determine the operation score of the sanitation vehicle based on the evaluation data.

[0048] In some embodiments, step 240 specifically includes determining the operation score of the sanitation vehicle based on the evaluation data through a scoring model, wherein the scoring model is a machine learning model. Figure 3 The corresponding content.

[0049] In some embodiments, the evaluation data further includes driving behavior evaluation data; the method further includes: determining the driving behavior evaluation data based on the collected driving behavior data and a driving evaluation model.

[0050] For example, the sanitation vehicle operation evaluation system can combine ADAS and DSM systems to collect driving behavior data, identify behaviors such as sudden braking, distraction, and fatigue, build a driving evaluation model, and assist in evaluating operation quality; and achieve driving behavior scoring.

[0051] The driving evaluation model may be a machine learning model, such as a neural network model (NN).

[0052] In some embodiments, the input of the driving assessment model may include driving behavior data, and the output may include driving behavior assessment data.

[0053] In some embodiments, the sanitation vehicle operation evaluation system may train a driving evaluation model based on the first training sample set.

[0054] The first sample set includes a first training sample and a corresponding first label.

[0055] In some embodiments, the first training sample includes sample driving behavior data. The sanitation vehicle operation evaluation system can obtain the first training sample from historical data of the sample sanitation vehicle.

[0056] In some embodiments, the sanitation vehicle operation evaluation system can determine multiple historical operation data from the historical data, use the corresponding driving behavior data as the first training sample, and use the actual driving behavior evaluation data corresponding to the driving behavior data as the first label.

[0057] In some embodiments, for each historical operation data, the sanitation vehicle operation evaluation system can determine actual driving behavior evaluation data based on its operation quality, driving process data, etc.

[0058] In some embodiments, the sanitation vehicle operation evaluation system can perform multiple rounds of iterations, at least one round of iteration includes: selecting one or more first training samples from the first sample data set, inputting the one or more first training samples into the initial driving evaluation model, and obtaining the model prediction output corresponding to the one or more first training samples; substituting the model prediction output corresponding to the one or more first training samples and the first labels of the one or more first training samples into the formula of a predefined loss function to calculate the value of the loss function; based on the value of the loss function, reversely updating the model parameters in the initial driving evaluation model; this step can be performed using various methods. For example, the update can be based on the gradient descent method. When the iteration end condition is met, the iteration ends and a trained driving evaluation model is obtained.

[0059] In some embodiments, the sanitation vehicle operation evaluation system can continuously optimize the driving evaluation model through the latest data accumulation and learning to improve accuracy and adaptability.

[0060] In some embodiments, the evaluation data further includes cleanliness evaluation data; the method further includes: collecting image data before and after the operation; and determining the cleanliness evaluation data based on a comparison of the image data before and after the operation.

[0061] For example, the sanitation vehicle operation evaluation system can capture images before and after the operation based on the front and rear cameras, analyze the cleaning effect through algorithms such as SSIM, and judge the changes in the degree of cleanliness to visually prove the effectiveness of the operation, thereby realizing the image comparison before and after the operation.

[0062] In some embodiments, the method further includes: in response to the homework score being lower than a score threshold, pushing a warning message to a preset platform.

[0063] For example, the sanitation vehicle operation evaluation system can set a scoring threshold, and automatically push warning information to the platform if the score is below the threshold, thereby realizing abnormal operation warning.

[0064] Figure 3 It is a schematic diagram of the structure of the scoring model shown in some embodiments of this specification.

[0065] Scoring model 320 is a model used for scoring the operation of sanitation vehicles. In some embodiments, scoring model 320 can be a machine learning model, such as a neural network model (NN).

[0066] In some embodiments, the input of the scoring model 320 may include the first evaluation data 311, the second evaluation data 312, the third evaluation data 313, the driving behavior evaluation data 314, and the cleanliness evaluation data 315, and the output may include the work score 330. For details about the first evaluation data 311, the second evaluation data 312, the third evaluation data 313, the driving behavior evaluation data 314, and the cleanliness evaluation data 315, see Figure 2 corresponding instructions.

[0067] In some embodiments, the scoring model 320 can integrate indicators such as trajectory coverage, operation status matching, speed compliance, driving behavior scoring, etc. to form a unified and effective scoring model, which can be used for driver assessment and project settlement, etc.

[0068] In some embodiments, the sanitation vehicle operation evaluation system may train the scoring model 320 based on the second training sample set.

[0069] The second sample set includes second training samples and their corresponding second labels.

[0070] In some embodiments, the second training sample includes sample first evaluation data, sample second evaluation data, sample third evaluation data, sample driving behavior evaluation data, and sample cleanliness evaluation data of the sample sanitation vehicle during historical operations. The sanitation vehicle operation evaluation system can obtain the second training sample from the historical operation data of the sample sanitation vehicle.

[0071] In some embodiments, the sanitation vehicle operation evaluation system can determine the actual operation score of the historical operation corresponding to the second training sample as the second label. The actual operation score can be obtained based on manual review of the operation results or based on data such as employee performance evaluation.

[0072] In some embodiments, the sanitation vehicle operation evaluation system can perform multiple rounds of iterations, at least one round of iteration includes: selecting one or more second training samples from the second sample data set, inputting the one or more second training samples into the initial scoring model, and obtaining the model prediction output corresponding to the one or more second training samples; substituting the model prediction output corresponding to the one or more second training samples and the second labels of the one or more second training samples into the formula of the predefined loss function to calculate the value of the loss function; based on the value of the loss function, reversely updating the model parameters in the initial scoring model; this step can be performed using various methods. For example, the update can be based on the gradient descent method. When the iteration end condition is met, the iteration ends and a trained scoring model is obtained.

[0073] In some embodiments, the sanitation vehicle operation evaluation system can continuously optimize the scoring model through data learning to improve accuracy and adaptability.

[0074] In summary, this invention can objectively, multi-dimensionally, and quantitatively evaluate the operational effectiveness of new energy sanitation sweepers, addressing the limitations of existing solutions that rely on single-dimensional data and incomplete assessments. Through intelligent fusion and platform integration, it improves the automation level of operational supervision, contributing to greater government oversight efficiency and enhanced transparency in business operations.

[0075] While the basic concepts have been described above, it will be apparent to those skilled in the art that the detailed disclosure is merely illustrative and does not limit this specification. Although not explicitly stated herein, various modifications, improvements, and revisions to this specification may be made by those skilled in the art. Such modifications, improvements, and revisions are suggested in this specification and remain within the spirit and scope of the exemplary embodiments of this specification.

[0076] This specification also uses specific terms to describe the embodiments of this specification. For example, "one embodiment," "an embodiment," and / or "some embodiments" refer to a feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "one embodiment," "an embodiment," or "an alternative embodiment" two or more times in different locations in this specification do not necessarily refer to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of this specification may be appropriately combined.

[0077] Similarly, it should be noted that, in order to simplify the presentation of this specification and thus facilitate understanding of one or more embodiments of the invention, the foregoing descriptions of the embodiments of this specification sometimes combine multiple features into a single embodiment, figure, or description thereof. However, this disclosure method does not imply that the subject matter of this specification requires more features than those recited in the claims. In fact, an embodiment may have fewer features than all of the features of a single disclosed embodiment.

[0078] Finally, it should be understood that the embodiments described in this specification are intended only to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly described and illustrated in this specification.

Claims

1. A sanitation vehicle operation evaluation method, characterized in that: include: Based on trajectory comparison, determine the first evaluation data of the sanitation vehicle; Determining second evaluation data of the sanitation vehicle based on the status comparison; Determining third evaluation data of the sanitation vehicle based on the operation mode comparison; Based on the evaluation data, an operation score of the sanitation operation vehicle is determined; the evaluation data includes at least one of the first evaluation data, the second evaluation data, and the third evaluation data.

2. The method according to claim 1, characterized in that The evaluation data also includes driving behavior evaluation data; The method further comprises: The driving behavior evaluation data is determined based on the collected driving behavior data and a driving evaluation model.

3. The method according to claim 1, characterized in that The evaluation data also includes cleanliness evaluation data; The method further comprises: Collect image data before and after the operation; The cleanliness evaluation data is determined based on a comparison of the image data before and after the operation.

4. The method according to claim 1, wherein Determining the operation score of the sanitation vehicle based on the evaluation data includes: Based on the evaluation data, an operation score of the sanitation vehicle is determined through a scoring model, and the scoring model is a machine learning model.

5. The method according to claim 1, wherein The method further comprises: In response to the homework score being lower than the score threshold, a warning message is pushed to a preset platform.

6. The method according to claim 1, characterized in that Determining the first evaluation data of the sanitation vehicle based on trajectory comparison includes: Obtaining the real-time operation trajectory of the sanitation vehicle; Comparing the real-time operation trajectory with the task area map to determine a first comparison result, wherein the first comparison result includes at least one of whether the target operation area is covered, whether it is missed, and whether it is re-scanned; The first evaluation data is determined based on the first comparison result.

7. The method according to claim 6, characterized in that The determining of the second evaluation data of the sanitation vehicle based on the status comparison includes: Determine the start and stop status of the sanitation vehicle based on CAN bus data; Based on the start / stop state and in combination with the first comparison result, a second comparison result is determined, wherein the second comparison result includes at least one of whether there is idling and whether there is a false sweep; The second evaluation data is determined based on the second comparison result.

8. A sanitation vehicle operation evaluation system, characterized in that: include The first evaluation module is configured to: determine first evaluation data of the sanitation vehicle based on trajectory comparison; The second evaluation module is configured to: determine second evaluation data of the sanitation vehicle based on the status comparison; A third evaluation module is configured to: determine third evaluation data of the sanitation vehicle based on the operation mode comparison; The operation scoring module is configured to: determine the operation score of the sanitation operation vehicle based on the evaluation data; the evaluation data includes at least one of the first evaluation data, the second evaluation data, and the third evaluation data.

9. A sanitation vehicle operation evaluation device, characterized in that: The method comprises a processor configured to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method according to any one of claims 1 to 7.

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