Weight-based carrier loading state detection method and device, terminal and medium
Through weight-based detection methods, the detection data of the vehicle is obtained in real time and the threshold is determined, which solves the commonality and accuracy of vehicle loading status detection in the prior art, and accurately judges of loading status and loading actions.
Patent Information
- Application Number
- CN202411954108.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-27
- Publication Date
- 2025-03-28
AI Technical Summary
The existing vehicle loading state detection methods have problems such as poor generality and poor accuracy.
Weight-based detection methods are adopted to detect vehicles in real time through sensors, obtain no-load and nuclear load detection data, determine the status threshold and slope threshold, and judge the loading status and loading actions.
Accurate detection of the loading status and loading actions of the vehicle is realized, avoiding the reduction in accuracy caused by the occlusion of the vehicle space or detection equipment, and improving the universality and accuracy of the detection.
Smart Images
Figure CN119714491A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of transportation, and in particular to a method, device, terminal and medium for detecting the loading status of a vehicle based on weight. Background Art
[0002] Vehicle loading status detection refers to the process of detecting changes in the status of goods or personnel carried in the vehicle. The current vehicle loading status detection mainly includes the following two aspects: 1. Image-based loading status detection method: that is, installing an image acquisition device on the vehicle, comparing the internal image of the vehicle acquired at a specific time with the reference image (such as pre-stored empty and full images) to determine the loading status in the vehicle. This method requires pre-collecting different reference images for different vehicles, and has poor versatility; and the image is easily disturbed by occlusion, and the accuracy is poor. 2. Loading status detection method based on space perception sensor: that is, by installing a space perception sensor inside the vehicle, measuring the remaining volume size in the vehicle, and inferring the loading status. This method is only applicable to vehicles with closed internal space, and has poor versatility; and when the internal design of the vehicle is more complex, the remaining volume size is difficult to detect correctly, and the accuracy is poor.
[0003] In summary, most of the existing vehicle loading status detection methods have the problems of poor versatility and poor accuracy. Therefore, the existing technology needs to be improved and developed. Summary of the invention
[0004] The technical problem to be solved by the present invention is to provide a weight-based vehicle loading status detection method, device, terminal and medium in response to the above-mentioned defects of the prior art, aiming to solve the problems of poor versatility and poor accuracy of the existing vehicle loading status detection methods.
[0005] The technical solution adopted by the present invention to solve the problem is as follows: In a first aspect, an embodiment of the present invention provides a method for detecting a loading state of a vehicle based on weight, wherein the method comprises: Detect the vehicle in real time based on the sensor, and determine a number of vehicle detection data within the detection time; Obtaining no-load detection data and loaded-load detection data corresponding to the vehicle, and determining a state threshold and a slope threshold according to the no-load detection data and the loaded-load detection data; Determining a loading state of a vehicle according to the state threshold and each of the vehicle detection data; The loading action of the vehicle is determined according to the slope threshold and each of the vehicle detection data.
[0006] In one implementation method, determining a slope threshold according to the no-load detection data and the core load detection data includes: , in, is the slope threshold, is the no-load detection data, This is the nuclear load detection data.
[0007] In an implementation method, the state threshold includes an empty load threshold and a loaded load threshold, and determining the loading state of the vehicle according to the state threshold and each of the vehicle detection data includes: Calculating a mean value of vehicle detection data based on each of the vehicle detection data; The loading state is determined according to the state threshold and the mean value of the vehicle detection data.
[0008] In one implementation method, determining the loading action of the carrier according to the slope threshold and each of the carrier detection data includes: Performing binomial fitting on the vehicle detection data within the detection time to determine a vehicle detection data change curve; The loading action of the vehicle is determined according to the slope threshold and the vehicle detection data change curve.
[0009] In one implementation method, performing binomial fitting on each of the vehicle detection data within the detection time includes: , in, is the moment within the detection time, for The vehicle weight corresponding to the moment, As parameters, The slope of the vehicle detection data change curve is determined.
[0010] In one implementation method, determining the loading action of the vehicle according to the slope threshold and the vehicle detection data change curve includes: Determine the detection data change slope corresponding to each moment within the detection time according to the vehicle detection data change curve; The loading action of the carrier is determined according to the slope threshold and the slope of the detection data change corresponding to each moment within the detection time.
[0011] In one implementation method, determining the loading action of the carrier according to the slope threshold and the slope of the detection data change includes: Comparing the detection data change slope with the slope threshold; When the change slope of the detection data is greater than the slope threshold, determining that the loading action is loading; When the detection data change slope is less than the negative slope threshold, determining that the loading action is unloading; When the detection data change slope is smaller than the slope threshold and larger than the negative slope threshold, the loading action is determined to be non-loading.
[0012] In a second aspect, an embodiment of the present invention further provides a vehicle loading state detection device based on weight, wherein the vehicle loading state detection device based on weight includes: A real-time detection module, used to detect the vehicle in real time based on the sensor, and determine a number of vehicle detection data within the detection time; A threshold determination module, used to obtain empty load detection data and loaded load detection data corresponding to the vehicle, and determine a state threshold and a slope threshold according to the empty load detection data and the loaded load detection data; A state determination module, used to determine the loading state of the vehicle according to the state threshold and each of the vehicle detection data; The action determination module is used to determine the loading action of the vehicle according to the slope threshold and the detection data of each vehicle.
[0013] In a third aspect, an embodiment of the present invention further provides a terminal comprising a memory and one or more processors; the memory stores one or more programs; the program comprises instructions for executing any weight-based vehicle loading status detection method as described above; and the processor is used to execute the program.
[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a plurality of instructions stored thereon, wherein the instructions are suitable for being loaded and executed by a processor to implement any of the weight-based vehicle loading status detection methods described above.
[0015] Beneficial effects of the present invention: The embodiments of the present invention detect vehicles in real time based on sensors, determine several vehicle detection data within the detection time; obtain empty load detection data and loaded load detection data corresponding to the vehicle, determine the state threshold and slope threshold according to the empty load detection data and the loaded load detection data; determine the loading state of the vehicle according to the state threshold and each of the vehicle detection data; determine the loading action of the vehicle according to the slope threshold and each of the vehicle detection data. Since the present invention detects vehicles in real time based on sensors, determines several vehicle detection data within the detection time, and judges the change of the vehicle weight within the detection time based on the slope threshold, thereby determining the loading state and loading action of the vehicle according to the change of the vehicle weight, the detection process is not affected by the vehicle space or the detection equipment being blocked, so it can effectively solve the problems of poor versatility and poor accuracy of existing vehicle loading state detection methods. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0017] Figure 1 It is a flow chart of a weight-based vehicle loading status detection method provided in an embodiment of the present invention.
[0018] Figure 2 Schematic diagram of an example device of a weight-based vehicle loading status detection method provided in an embodiment of the present invention.
[0019] Figure 3 It is a schematic diagram of a loading status judgment process provided by an embodiment of the present invention.
[0020] Figure 4 It is a schematic diagram of a loading action judgment flow provided by an embodiment of the present invention.
[0021] Figure 5 It is a schematic diagram of the internal modules of the weight-based vehicle loading status detection device provided in an embodiment of the present invention.
[0022] Figure 6 It is a principle block diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0023] The present invention discloses a method, device, terminal and medium for detecting the loading status of a vehicle based on weight. In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0024] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.
[0025] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art in the art to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as herein.
[0026] Vehicle loading status detection refers to the process of detecting changes in the status of goods or personnel carried in the vehicle. The current vehicle loading status detection mainly includes the following two aspects: 1. Image-based loading status detection method: that is, installing an image acquisition device on the vehicle, comparing the internal image of the vehicle acquired at a specific time with the reference image (such as pre-stored empty and full images) to determine the loading status in the vehicle. This method requires pre-collecting different reference images for different vehicles, and has poor versatility; and the image is easily disturbed by occlusion, and the accuracy is poor. 2. Loading status detection method based on space perception sensor: that is, by installing a space perception sensor inside the vehicle, measuring the remaining volume size in the vehicle, and inferring the loading status. This method is only applicable to vehicles with closed internal space, and has poor versatility; and when the internal design of the vehicle is more complex, the remaining volume size is difficult to detect correctly, and the accuracy is poor.
[0027] In view of the above-mentioned defects of the prior art, the present invention provides a method for detecting the loading status of a vehicle based on weight, wherein the method detects the vehicle in real time based on a sensor, determines a number of vehicle detection data within a detection time; obtains empty load detection data and loaded load detection data corresponding to the vehicle, and determines a state threshold and a slope threshold according to the empty load detection data and the loaded load detection data; determines the loading status of the vehicle based on the state threshold and each of the vehicle detection data; and determines the loading action of the vehicle based on the slope threshold and each of the vehicle detection data. Since the present invention detects the vehicle in real time based on a sensor, determines a number of vehicle detection data within a detection time, and judges the change in the weight of the vehicle within the detection time based on the slope threshold, thereby determining the loading status and loading action of the vehicle based on the change in the weight of the vehicle, the detection process is not affected by the obstruction of the vehicle space or the detection equipment, and can effectively solve the problems of poor versatility and poor accuracy of the existing vehicle loading status detection methods.
[0028] Exemplary methods: The weight-based vehicle loading status detection method of this embodiment may be used in a weight-based vehicle loading status detection device or apparatus. Figure 2A weight-based carrier loading state detection device includes: a sensor, which is fixed on the carrier or a device connected to or close to the carrier, and is used to output a value related to the total weight of the carrier and the load-bearing object; a controller, which is used for data storage, data processing and data transmission. The controller is composed of module 1 and module 2, wherein module 1 includes a storage module and an analog-to-digital conversion module, and module 2 includes a state detection module. The controller is installed on the carrier, wherein module 2 can be installed on the controller or implemented by a remote host computer; the analog signal output by the sensor is converted into a digital signal by the analog-to-digital conversion module in the controller; the digital signal is stored in the storage module; the data in module 1 is read out and transmitted to the state detection module, and is converted into a state detection value (such as loading state or loading action) after algorithm processing, and the state value can be stored, further processed or transmitted to other devices (such as a host computer).
[0029] Specifically, Figure 1 As shown, the sleep state control method of this embodiment includes the following steps: Step S100: Detect the vehicle in real time based on the sensor, and determine a number of vehicle detection data within the detection time.
[0030] In simple terms, when it is necessary to detect the loading status and loading action of a vehicle, a weight-based vehicle loading status detection device or equipment is installed on the vehicle. The controller samples, converts and stores the output of the sensor at a preset time interval. , the controller converts the analog output of the sensor Perform analog-to-digital conversion to obtain , then and The data is stored in the storage module, so as to obtain the vehicle detection data corresponding to each moment in the detection time. The value of the vehicle detection data is correlated with the total weight of the vehicle and the load. Take the ultrasonic ranging sensor as an example: install the ultrasonic ranging sensor on the frame so that the sensor can measure the distance between the frame and the axle; when the load When it increases, the distance between the frame and the axle decreases, and the ultrasonic sensor output value Reduce; when the load When it decreases, the distance between the frame and the axle increases, and the ultrasonic sensor output value In this embodiment, the N sampling times within the detection time are expressed as is each moment in the detection time, and the vehicle detection data at the corresponding moment is expressed as . This embodiment uses sensors to detect relevant data of the vehicle weight for analysis of loading status and loading action, which is not restricted or interfered by the vehicle space and objects. At the same time, it does not limit the vehicle type and sensor type. It only needs the sensor data to be correlated with the vehicle weight, and has high versatility and accuracy.
[0031] In one implementation, a machine learning algorithm may be used to learn the relationship characteristic function between vehicle detection data and vehicle weight, thereby further improving the accuracy of loading status and loading action detection.
[0032] Step S200: Obtain empty-load detection data and loaded-load detection data corresponding to the vehicle, and determine a state threshold and a slope threshold according to the empty-load detection data and the loaded-load detection data.
[0033] Specifically, the empty load detection data corresponding to the vehicle is the detection data when the vehicle is not loaded with goods, and the rated load detection data of the vehicle is the detection data when the vehicle is loaded with the maximum weight of goods. Among them, the state threshold includes the empty load threshold and the rated load threshold. Determining the state threshold based on the empty load detection data and the rated load detection data includes: When the vehicle is in an unloaded state, M data are collected, expressed as , set the no-load threshold ; When the vehicle is loaded with the maximum rated weight, M data are collected, expressed as , set the nuclear load threshold ; in, is the mean function.
[0034] Determining a slope threshold according to the no-load detection data and the core load detection data includes: , in, is the slope threshold, is the no-load detection data, This is the nuclear load detection data.
[0035] Step S300: determining the loading state of the vehicle according to the state threshold and the detection data of each vehicle.
[0036] According to the difference in weight change of the vehicle in different loading states, the loading state can be defined as follows: Empty state: During the time window, there is no cargo in the vehicle. .
[0037] Overload state: At a certain moment, the weight of the cargo loaded on the vehicle exceeds the approved maximum weight, that is, .
[0038] Half-load state: within the time window, the vehicle is loaded with goods and the weight of the loaded goods is less than the approved maximum weight, that is, ,and .
[0039] Since the vehicle detection data can reflect the change in the vehicle weight, the loading status of the vehicle can be judged based on the changes in each vehicle detection data within the detection time and the state threshold, including: calculating the mean of the vehicle detection data based on each of the vehicle detection data; determining the loading status based on the state threshold and the mean of the vehicle detection data.
[0040] like Figure 3 As shown, when the vehicle detection data mean Less than , the output loading state is "no-load state"; when the vehicle detection data mean Greater than , the output loading state is “overload state”; otherwise, the output loading state is “half load state”.
[0041] Step S400: determining the loading action of the vehicle according to the slope threshold and the detection data of each vehicle.
[0042] According to the difference in weight change of the vehicle during different loading actions, the loading actions can be defined as follows: Unloaded: During the time window, the total weight of the vehicle and the loaded cargo remains unchanged, i.e. .
[0043] Loading: During the time window, the total weight of the vehicle and the loaded cargo continues to increase, i.e. , and indivual At least one of ; Start loading: Within the time window, the total weight of the vehicle and the cargo it carries remains constant and then increases, i.e. there is an integer , . The loading start time; End loading: The total weight of the vehicle and the loaded cargo keeps increasing and then remains constant, that is, there is an integer , . To end loading time.
[0044] Unloading: The total weight of the vehicle and the loaded cargo continues to decrease, i.e. , and indivual At least one of ; Start unloading: The total weight of the vehicle and the cargo it carries remains constant at first, then continues to decrease, that is, there is an integer , , , . The time to start uninstallation; End of unloading: The total weight of the vehicle and the loaded cargo continues to decrease and then remains unchanged, that is, there is an integer , . To end the uninstallation time.
[0045] When the loading action is performed, the weight of the carrier changes accordingly, and the slope can reflect whether the weight of the carrier increases positively (loading) or negatively (unloading) during the detection process. Therefore, this embodiment sets a slope threshold and determines the loading action of the carrier based on the slope threshold and the detection data of each carrier.
[0046] In one implementation, the loading action of the vehicle is determined based on the slope threshold and each of the vehicle detection data, including: performing binomial fitting on each of the vehicle detection data within the detection time to determine a vehicle detection data change curve; and determining the loading action of the vehicle based on the slope threshold and the vehicle detection data change curve.
[0047] In order to detect the loading action of the vehicle based on the slope, this embodiment performs binomial fitting on each vehicle detection data within the detection time to obtain a vehicle detection data change curve, thereby determining the loading action of the vehicle based on the vehicle detection data change curve and the slope threshold. Specifically, performing binomial fitting on each vehicle detection data within the detection time includes: , in, is the moment within the detection time, for The vehicle weight corresponding to the moment, As parameters, The slope of the vehicle detection data change curve is determined.
[0048] In one implementation, the loading action of the vehicle is determined based on the slope threshold and the vehicle detection data change curve, including: determining the detection data change slope corresponding to each moment within the detection time based on the vehicle detection data change curve; determining the loading action of the vehicle based on the slope threshold and the detection data change slope corresponding to each moment within the detection time.
[0049] In simple terms, the slope of the detection data change curve at a certain moment can reflect the weight change trend of the vehicle at that moment. The loading action of the vehicle at that moment can be determined by comparing the slope of the detection data at a certain moment with the slope threshold.
[0050] In one implementation, the loading action of the carrier is determined based on the slope threshold and the detection data change slope, including: comparing the detection data change slope and the slope threshold; when the detection data change slope is greater than the slope threshold, determining that the loading action is loading; when the detection data change slope is less than the negative slope threshold, determining that the loading action is unloading; when the detection data change slope is less than the slope threshold and greater than the negative slope threshold, determining that the loading action is not loading.
[0051] Specifically, Figure 4 As shown, for the detection time , vehicle detection data , the corresponding detection data change slope is , is the slope threshold: like Greater than , the output loading action is "loading"; Indicates that the vehicle detection data within the detection time Divided into size and two sequences. and Respectively represent vehicle detection data Corresponding time and vehicle detection data The corresponding time. If there exists s, satisfying , , then the output loading action is "start loading"; If there exists s, satisfying , , , then the output loading action is "end loading".
[0052] like Less than , then the output loading action is "unloading"; If there exists s, satisfying , , , then the output loading action is "start unloading"; If there exists s, satisfying , , , then the output loading action is "end unloading".
[0053] Otherwise, the output load action is "not loaded".
[0054] Based on the above embodiments, the present invention also provides a vehicle loading status detection device based on weight, such as Figure 5 As shown, the device comprises: Real-time detection module 01, used to detect vehicles in real time based on sensors and determine a number of vehicle detection data within the detection time; The threshold determination module 02 is used to obtain the empty load detection data and the loaded load detection data corresponding to the vehicle, and determine the state threshold and the slope threshold according to the empty load detection data and the loaded load detection data; A state determination module 03, used to determine the loading state of the vehicle according to the state threshold and each of the vehicle detection data; The action determination module 04 is used to determine the loading action of the vehicle according to the slope threshold and each of the vehicle detection data.
[0055] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Figure 6 As shown. The terminal includes a processor, a memory, a network interface, and a display screen connected via a system bus. Among them, the processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a weight-based vehicle loading status detection method is implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.
[0056] Those skilled in the art will understand that Figure 6 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the terminal to which the scheme of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0057] In one implementation, the terminal has one or more programs stored in its memory, and is configured to be executed by one or more processors. The one or more programs include instructions for performing a weight-based vehicle loading status detection method.
[0058] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0059] In summary, the present invention discloses a method, device, terminal and medium for detecting the loading status of a vehicle based on weight. The method detects the vehicle in real time based on a sensor, determines a number of vehicle detection data within a detection time; obtains the empty load detection data and the loaded load detection data corresponding to the vehicle, and determines a state threshold and a slope threshold according to the empty load detection data and the loaded load detection data; determines the loading status of the vehicle based on the state threshold and each of the vehicle detection data; and determines the loading action of the vehicle based on the slope threshold and each of the vehicle detection data. Since the present invention detects the vehicle in real time based on a sensor, determines a number of vehicle detection data within a detection time, and judges the change in the weight of the vehicle within the detection time based on the slope threshold, thereby determining the loading status and loading action of the vehicle based on the change in the weight of the vehicle, the detection process is not affected by the obstruction of the vehicle space or the detection equipment, and can effectively solve the problems of poor versatility and poor accuracy of the existing vehicle loading status detection methods.
[0060] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.
Claims
1. A method for detecting a vehicle loading state based on weight, characterized in that: The method comprises: Detect the vehicle in real time based on the sensor, and determine a number of vehicle detection data within the detection time; Obtaining no-load detection data and loaded-load detection data corresponding to the vehicle, and determining a state threshold and a slope threshold according to the no-load detection data and the loaded-load detection data; Determining a loading state of a vehicle according to the state threshold and each of the vehicle detection data; The loading action of the vehicle is determined according to the slope threshold and each of the vehicle detection data.
2. The method for detecting a vehicle loading state based on weight according to claim 1, characterized in that: Determining a slope threshold according to the no-load detection data and the core load detection data includes: ， in, is the slope threshold, is the no-load detection data, This is the nuclear load detection data.
3. The method for detecting a vehicle loading state based on weight according to claim 1, characterized in that: The state threshold includes an empty load threshold and a loaded load threshold. Determining the loading state of the vehicle according to the state threshold and each of the vehicle detection data includes: Calculating a mean value of vehicle detection data based on each of the vehicle detection data; The loading state is determined according to the state threshold and the mean value of the vehicle detection data.
4. The method for detecting a vehicle loading state based on weight according to claim 1, characterized in that: Determining a loading action of a vehicle according to the slope threshold and each of the vehicle detection data includes: Performing binomial fitting on the vehicle detection data within the detection time to determine a vehicle detection data change curve; The loading action of the vehicle is determined according to the slope threshold and the vehicle detection data change curve.
5. The method for detecting a vehicle loading state based on weight according to claim 4, characterized in that: Performing binomial fitting on the vehicle detection data within the detection time includes: ， in, is the moment within the detection time, for The vehicle weight corresponding to the moment, As parameters, The slope of the vehicle detection data change curve is determined.
6. The method for detecting a vehicle loading state based on weight according to claim 4, characterized in that: Determining a loading action of a vehicle according to the slope threshold and the vehicle detection data change curve includes: Determine the detection data change slope corresponding to each moment within the detection time according to the vehicle detection data change curve; The loading action of the carrier is determined according to the slope threshold and the slope of the detection data change corresponding to each moment within the detection time.
7. The method for detecting a vehicle loading state based on weight according to claim 6, characterized in that: Determining the loading action of the carrier according to the slope threshold and the slope of the detection data change includes: Comparing the detection data change slope with the slope threshold; When the change slope of the detection data is greater than the slope threshold, determining that the loading action is loading; When the detection data change slope is less than the negative slope threshold, determining that the loading action is unloading; When the detection data change slope is smaller than the slope threshold and larger than the negative slope threshold, the loading action is determined to be non-loading.
8. A weight-based vehicle loading status detection device, characterized in that: The device comprises: A real-time detection module, used to detect the vehicle in real time based on the sensor, and determine a number of vehicle detection data within the detection time; A threshold determination module, used to obtain empty load detection data and loaded load detection data corresponding to the vehicle, and determine a state threshold and a slope threshold according to the empty load detection data and the loaded load detection data; A state determination module, used to determine the loading state of the vehicle according to the state threshold and each of the vehicle detection data; The action determination module is used to determine the loading action of the vehicle according to the slope threshold and the detection data of each vehicle.
9. A terminal, characterized in that: The terminal includes a memory and one or more processors; the memory stores one or more programs; the program includes instructions for executing the weight-based vehicle loading status detection method as described in any one of claims 1-7; and the processor is used to execute the program.
10. A computer-readable storage medium having a plurality of instructions stored thereon, characterized in that: The instructions are suitable for being loaded and executed by a processor to implement the steps of the weight-based vehicle loading status detection method described in any one of claims 1-7 above.