Intelligent monitoring system, method and device for garbage capacity in garbage compression truck

Abstract

The invention provides an intelligent monitoring system, method and device for the capacity of garbage in a compression garbage truck box, and relates to the technical field of vehicle monitoring, the compression garbage truck box is used for collecting garbage from the rear end of the box into the box through a barrel lifting mechanism, and the garbage in the box is subjected to bidirectional compression treatment through a push shovel and a filler mechanism; the occupied volume of the garbage in the box body is reduced; the photoelectric distance measuring sensor is used for measuring distance information between the vertical compression structure of the push shovel and the photoelectric distance measuring sensor in the bidirectional compression process and feeding back the distance information to the controller; and the controller is used for performing data analysis processing on the distance information, determining the percentage of the remaining capacity of the box body, the number of remaining loadable garbage cans and a target running route, and displaying the percentage of the remaining capacity of the box body, the remaining loadable garbage cans and the target running route on the central control screen so as to perform intelligent monitoring processing on the garbage capacity in the compression garbage truck. According to the invention, environmental sanitation operation planning can be carried out by intelligently monitoring the garbage capacity in the compressed garbage truck box, so that the environmental sanitation operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle monitoring, and in particular to an intelligent monitoring system, method and device for the garbage capacity in a compressed garbage truck box. Background Art

[0002] Environmental sanitation work is an important part of urban life, which directly affects the city's image and the health of residents. At present, garbage bins are usually set up at fixed garbage points in each community, and compressed garbage trucks drive to each garbage bin and dump the garbage in the garbage bin into the garbage trucks, thereby completing the garbage recycling work and ensuring the cleanliness of the urban environment.

[0003] Since the shovel mechanism of the compressed garbage truck is located in the car body and is covered with garbage, it is often impossible to accurately judge the distance the shovel mechanism retreats under force or its position at any time during operation. Relevant technologies propose that the remaining amount of garbage that can be loaded in the car body of the compressed garbage truck needs to be manually judged based on the experience of sanitation workers. However, the error of manual judgment is large, and violent loading is prone to occur, thereby reducing the service life of the compressed garbage truck. In addition, since it is impossible to accurately judge the remaining capacity of the compressed garbage truck, the amount of garbage at the garbage point may be greater than the remaining capacity of the compressed garbage truck, resulting in the garbage truck making multiple round trips to the same garbage point, thereby increasing the working hours of the operators and increasing the loss of fuel or electricity for the vehicle's round trips. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide an intelligent monitoring system, method and device for the garbage capacity in a compressed garbage truck box, which can intelligently monitor the garbage capacity in the compressed garbage truck box and plan sanitation operations, thereby improving the efficiency of sanitation operations.

[0005] In the first aspect, an embodiment of the present invention provides an intelligent monitoring system for the garbage capacity in a compression garbage truck box, the system comprising: a compression garbage truck box, a photoelectric ranging sensor, a controller and a central control screen, the controller is respectively connected to the compression garbage truck box, the photoelectric ranging sensor and the central control screen for communication; wherein the compression garbage truck box comprises: a shovel mechanism, a filler mechanism and a bucket lifting mechanism, the shovel mechanism comprises: a shovel, the compression garbage truck box is used to collect garbage from the rear end of the box into the box through the bucket lifting mechanism, and to perform bidirectional compression processing on the garbage in the box through the shovel and the filler mechanism to reduce the garbage The volume occupied by the garbage in the box; the photoelectric distance sensor is arranged at the bracket of the front plate of the box, and the photoelectric distance sensor is used to measure the distance information between the vertical compression structure of the bulldozer and the photoelectric distance sensor during the two-way compression process, and feed the distance information back to the controller; the controller is used to perform data analysis and processing on the distance information, determine the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded and the target running route, and send the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded and the target running route to the central control screen for display, so as to perform intelligent monitoring and processing of the garbage capacity in the compression garbage truck box.

[0006] In one embodiment, the filler mechanism includes: a filler cylinder, a scraper and a slide plate; wherein the filler mechanism is used to dump the garbage into the box by driving the slide plate up and down through the filler cylinder, and compress the garbage in the box toward the front plate of the box through the closing operation of the scraper.

[0007] In one embodiment, the pushing shovel mechanism also includes: a pushing shovel cylinder; wherein the pushing shovel cylinder is used to provide thrust in the scraper direction to the pushing shovel, so as to push the pushing shovel to move in the horizontal direction, and compress the garbage in the box body in the scraper direction. When the thrust of the pushing shovel cylinder is greater than the pressure of the garbage, the pushing shovel moves horizontally in the scraper direction; when the thrust of the pushing shovel cylinder is less than the pressure of the garbage, the pushing shovel moves horizontally in the front plate direction of the box body; when the thrust of the pushing shovel cylinder is equal to the pressure of the garbage, the pushing shovel remains stationary.

[0008] In one embodiment, the dozer blade oil cylinder is a multi-section cylinder; wherein, when the dozer blade moves horizontally toward the scraper blade, the dozer blade oil cylinder extends, and the thrust provided by the dozer blade oil cylinder to the dozer blade decreases; when the dozer blade moves horizontally toward the front plate of the box body, the dozer blade oil cylinder retreats, and the thrust provided by the dozer blade oil cylinder to the dozer blade increases.

[0009] In a second aspect, an embodiment of the present invention further provides an intelligent monitoring method for the garbage capacity in a compressed garbage truck box, and the method is applied to an intelligent monitoring system for the garbage capacity in a compressed garbage truck box as in any one of the first aspects, and the method comprises: obtaining real-time distance information between the vertical compression structure of the push shovel in the compressed garbage truck box and the photoelectric ranging sensor, and horizontal thrust information provided by the push shovel cylinder to the push shovel in the scraper direction; performing data analysis and processing on the real-time distance information and the horizontal thrust information through a preset intelligent calculation model to determine the percentage of the remaining capacity of the box and the remaining number of garbage bins that can be loaded, and performing intelligent path planning and processing on the percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded, and the garbage accumulation status of each garbage point through a preset intelligent cloud platform to determine the target operation route; the percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded, and the target operation route are sent to the central control screen of the compressed garbage truck for display, so as to perform intelligent monitoring and processing on the garbage capacity in the compressed garbage truck box.

[0010] In one embodiment, a preset intelligent calculation model is used to perform data analysis and processing on real-time distance information and horizontal thrust information to determine the percentage of remaining capacity of the box and the number of remaining trash cans that can be loaded, including: obtaining minimum distance information and maximum distance information of the dozer in the box, wherein the minimum distance information is the distance between the photoelectric ranging sensor and the initial installation position of the dozer, and the maximum distance information is the distance between the photoelectric ranging sensor and the maximum movement position of the dozer when no garbage is loaded; through a preset intelligent calculation model, the real-time distance information, the minimum distance information and the maximum distance information are performed data analysis and processing to determine the percentage of remaining capacity of the box, and based on the horizontal thrust information and the percentage of remaining capacity of the box, the number of remaining trash cans that can be loaded is determined.

[0011] In one embodiment, by using a preset intelligent calculation model, data analysis and processing are performed on the real-time distance information, the minimum distance information and the maximum distance information, and the step of determining the percentage of the remaining capacity of the box includes: dividing the difference between the real-time distance information and the minimum distance information by the difference between the maximum distance information and the minimum distance information, and determining the percentage of the quotient as the percentage of the remaining capacity of the box.

[0012] In one embodiment, the step of determining the number of remaining trash bins that can be loaded based on horizontal thrust information and the percentage of remaining capacity of the box includes: determining the compression force of the push shovel and the scraper on the garbage in the box in both directions when the push shovel is in different positions based on the horizontal thrust information of the push shovel cylinder at different extension lengths, and determining the number of remaining trash bins that can be loaded corresponding to the percentage of remaining capacity of the box based on the compression force.

[0013] In one embodiment, the step of intelligently monitoring the garbage capacity in the compacted garbage truck box includes: if the percentage of the remaining capacity in the box is less than a preset capacity threshold, a full box alarm reminder is sent to the central control screen, and the route is re-planned according to the remaining number of loadable garbage bins, so that the driver of the compacted garbage truck can operate on the re-planned route.

[0014] In the third aspect, an embodiment of the present invention also provides an intelligent monitoring device for the garbage capacity in a compressed garbage truck box. The device is applied to an intelligent monitoring system for the garbage capacity in a compressed garbage truck box, and the device includes: a data acquisition module, which obtains the real-time distance information between the vertical compression structure of the push shovel in the compressed garbage truck box and the photoelectric ranging sensor, and the horizontal thrust information provided by the push shovel cylinder to the scraper direction of the push shovel; a data analysis module, which performs data analysis and processing on the real-time distance information and the horizontal thrust information through a preset intelligent calculation model, determines the percentage of the remaining capacity of the box body and the remaining number of garbage bins that can be loaded, and performs intelligent path planning and processing on the percentage of the remaining capacity of the box body, the remaining number of garbage bins that can be loaded, and the garbage accumulation status of each garbage point through a preset intelligent cloud platform to determine the target operation route; an intelligent monitoring module, which sends the percentage of the remaining capacity of the box body, the remaining number of garbage bins that can be loaded, and the target operation route to the central control screen of the compressed garbage truck for display, so as to perform intelligent monitoring and processing on the garbage capacity in the compressed garbage truck box.

[0015] In a fourth aspect, an embodiment of the present invention further provides an electronic device, comprising a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement any one of the methods provided in the second aspect.

[0016] In a fifth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any one of the methods provided in the second aspect.

[0017] The embodiments of the present invention bring the following beneficial effects:

[0018] An embodiment of the present invention provides an intelligent monitoring system for the garbage capacity in a compression garbage truck box, the system comprising: a compression garbage truck box, a photoelectric ranging sensor, a controller and a central control screen, the controller being respectively connected to the compression garbage truck box, the photoelectric ranging sensor and the central control screen for communication; wherein the compression garbage truck box comprises: a pushing shovel mechanism, a filler mechanism and a bucket lifting mechanism, the pushing shovel mechanism comprising: a pushing shovel, the compression garbage truck box is used to collect garbage from the rear end of the box into the box through the bucket lifting mechanism, and to perform bidirectional compression processing on the garbage in the box through the pushing shovel and the filler mechanism to reduce the volume occupied by the garbage in the box; the photoelectric ranging sensor is arranged at the bracket of the front plate of the box, the photoelectric ranging sensor is used to measure the distance information between the vertical compression structure of the pushing shovel and the photoelectric ranging sensor during the bidirectional compression process, and to feed back the distance information to the controller; the controller is used to The distance information is analyzed and processed to determine the percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded, and the target operating route, and the percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded, and the target operating route are sent to the central control screen for display, so as to perform intelligent monitoring and processing on the garbage capacity in the box of the compressed garbage truck. The embodiment of the present invention can accurately detect the position of the push shovel in the car box, and can provide the driver with real-time feedback on the percentage of the remaining volume in the box and the remaining number of loading bins obtained through background intelligent calculation, so that the operator can rely on real data rather than his own experience to judge the loading capacity of the garbage in the box, thereby more effectively planning the subsequent operation route, alleviating volume anxiety, and greatly increasing the work efficiency of the operator. In addition, through a better driving route, the vehicle itself also saves the loss of round-trip fuel or electricity.

[0019] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1A schematic diagram of the structure of an intelligent monitoring system for the garbage capacity in a compressed garbage truck provided by an embodiment of the present invention;

[0023] Figure 2 A front view of an intelligent monitoring system for the garbage capacity in a compressed garbage truck provided by an embodiment of the present invention;

[0024] Figure 3 A side view of an intelligent monitoring system for the garbage capacity in a compressed garbage truck provided by an embodiment of the present invention;

[0025] Figure 4 A schematic diagram of a flow chart of an intelligent monitoring method for the garbage capacity in a compressed garbage truck provided by an embodiment of the present invention;

[0026] Figure 5 A schematic diagram of a dozing distance monitoring method provided by an embodiment of the present invention;

[0027] Figure 6 A schematic diagram of a remaining battery display icon provided by an embodiment of the present invention;

[0028] Figure 7 A schematic diagram of the structure of an intelligent monitoring device for the garbage capacity in a compressed garbage truck provided by an embodiment of the present invention;

[0029] Figure 8 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described in combination with the embodiments below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Environmental sanitation is an important part of urban life, which directly affects the city's image and the health of residents. At present, garbage bins are usually set up at fixed garbage points in each community, and compressed garbage trucks drive to each garbage bin to dump the garbage in the garbage bin into the garbage truck, thereby completing the garbage recycling work and ensuring the cleanliness of the urban environment. Since the shovel mechanism of the compressed garbage truck is located in the car body and is covered with garbage, the distance that the shovel mechanism is forced to retreat or the position at any time during operation is often difficult to accurately judge. Relevant technologies propose that the remaining amount of garbage that can be filled in the car body of the compressed garbage truck needs to be manually judged by the experience of the sanitation master, but the error of manual judgment is large, and violent loading is prone to occur, thereby reducing the service life of the compressed garbage truck. In addition, since it is impossible to accurately judge the remaining capacity of the compressed garbage truck, the amount of garbage at the garbage point may be greater than the remaining capacity of the compressed garbage truck, resulting in the garbage truck going back and forth at the same garbage point many times, thereby increasing the working time of the operators and increasing the loss of fuel or electricity for the vehicle to go back and forth.

[0032] Based on this, the intelligent monitoring system, method and device for the garbage capacity in the compressed garbage truck box provided by the implementation of the present invention can accurately detect the position of the shovel in the car box, and can provide the driver with real-time feedback on the percentage of the remaining volume in the box and the number of remaining loading buckets obtained through background intelligent calculation, so that the operator can rely on real data rather than his own experience to judge the loading capacity of the garbage in the box, thereby more effectively planning the subsequent operation route, alleviating volume anxiety, and greatly increasing the work efficiency of the operator. In addition, through a better driving route, the vehicle itself also saves the loss of round-trip fuel or electricity.

[0033] To facilitate understanding of the present embodiment, first, a method for intelligently monitoring the garbage capacity in a compression garbage truck box disclosed in an embodiment of the present invention is described in detail. The method is applied to an intelligent monitoring system for the garbage capacity in a compression garbage truck box. A compression truck is a special sanitation vehicle composed of a carrier, a loading and compression mechanism, an unloading mechanism, a hydraulic system, an electrical system, etc., for collecting and transporting urban domestic garbage. The compression truck is composed of a box body, a pushing shovel mechanism, a filler mechanism, a bucket lifting mechanism, etc. When the vehicle is in operation, the garbage is collected by the bucket lifting mechanism, and the garbage is compressed into the box by the scraper and slide plate mechanism (collectively referred to as the compression mechanism) in the filler. At this time, the pushing shovel mechanism in the box is basically located at the rear of the box before operation and is provided with a pushing shovel valve. After the force from the compression mechanism compressing the garbage is greater than the opening pressure of its own pushing shovel valve, the pushing shovel mechanism opens. The shovel mechanism will squeeze the cylinder and retreat toward the front of the vehicle; thereby forming a two-way compression through the cooperation of the compression mechanism and the push shovel mechanism, making it possible to load more garbage. This intelligent monitoring method can effectively detect the real-time position of the push shovel, and display the percentage of the remaining volume in the box and the number of remaining loading barrels calculated by the background intelligent calculation on the display screen or instrument in the cab, providing accurate information feedback for the driver; making it more timely for the driver to plan the remaining operation route. At the same time, major cities have gradually improved the construction of intelligent cloud platforms for sanitation vehicles. Our vehicles can upload data to the cloud platform through the daily operating status and the garbage conditions at each garbage point in each community; through the calculation of multiple parameters and big data, the best daily garbage collection route can be planned for the driver, improving the efficiency of sanitation operations.

[0034] Specifically, in order to facilitate understanding of the intelligent monitoring system for the garbage capacity in a compressed garbage truck box, an embodiment of the present invention provides a structural schematic diagram of the intelligent monitoring system for the garbage capacity in a compressed garbage truck box, such as Figure 1 As shown, the system includes: a compression garbage truck body, a photoelectric ranging sensor, a controller and a central control screen, and the controller is respectively connected to the compression garbage truck body, the photoelectric ranging sensor and the central control screen for communication.

[0035] See also Figure 2 A front view of an intelligent monitoring system for the garbage capacity in a compressed garbage truck box and Figure 3 A side view of an intelligent monitoring system for the garbage capacity in a compressed garbage truck box is shown, wherein a photoelectric ranging sensor is arranged at the bracket of the front panel of the box body, and the photoelectric ranging sensor is used to measure the distance information between the vertical compression structure of the bulldozer and the photoelectric ranging sensor during the bidirectional compression process, and feed back the distance information to the controller. That is to say, an additional photoelectric ranging sensor is installed on the end face of the front panel of the upper box body, the installation position is firm and reliable, and the end face of the irradiated wiring harness must be parallel to the rear end face of the bulldozer assembly, and the sensor is connected to the central control screen in the cab through its own wiring harness, or connected to the controller, and connected to the central control screen through controller communication.

[0036] The compression garbage truck box includes: a pushing shovel mechanism, a filler mechanism and a bucket lifting mechanism. The pushing shovel mechanism includes: a pushing shovel. The compression garbage truck box is used to collect garbage from the rear end of the box into the box through the bucket lifting mechanism, and to perform bidirectional compression processing on the garbage in the box through the pushing shovel and the filler mechanism to reduce the volume occupied by the garbage in the box. In one embodiment, the filler mechanism includes: a filling cylinder, a scraper and a slide plate. The filler mechanism is used to drive the slide plate to move up and down by the filling cylinder to dump the garbage into the box, and through the closing operation of the scraper, compress the garbage in the box toward the front plate of the box.

[0037] In another embodiment, the pushing shovel mechanism also includes: a pushing shovel cylinder, wherein the pushing shovel cylinder is used to provide a thrust in the scraper direction to the pushing shovel, so as to push the pushing shovel to move in the horizontal direction and compress the garbage in the box body toward the scraper direction. When the thrust of the pushing shovel cylinder is greater than the pressure of the garbage, the pushing shovel moves horizontally in the scraper direction. When the thrust of the pushing shovel cylinder is less than the pressure of the garbage, the pushing shovel moves horizontally in the front plate direction of the box body. When the thrust of the pushing shovel cylinder is equal to the pressure of the garbage, the pushing shovel is stationary. In addition, the pushing shovel cylinder is a multi-section cylinder; wherein, when the pushing shovel moves horizontally in the scraper direction, the pushing shovel cylinder extends, and the thrust provided by the pushing shovel cylinder to the pushing shovel is reduced. When the pushing shovel moves horizontally in the front plate direction of the box body, the pushing shovel cylinder retreats, and the thrust provided by the pushing shovel cylinder to the pushing shovel is increased.

[0038] The controller is used to perform data analysis and processing on the distance information, determine the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded, and the target running route, and send the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded, and the target running route to the central control screen for display, so as to perform intelligent monitoring and processing on the garbage capacity in the compressed garbage truck box. In one embodiment, a program can be added to the whole vehicle strategy, and the distance Ln from the front end face fed back when the shovel is at any position in the box is substituted into the program for calculation. Through the pre-set fixed value parameters L (the distance from the photoelectric sensor to the maximum travel point of the shovel), L2 (the distance from the photoelectric sensor to the maximum travel point), The distance from the initial position of the bulldozer is calculated by the formula (Ln-L2) / (L-L2)×100%. The number of garbage bins corresponding to the unit displacement and the distance obtained by the distance measuring sensor are collected and calculated to obtain the number of remaining bins converted from the remaining capacity in the bin in real time. Finally, a screen is output and displayed through the instrument panel in the cab or the central control screen (displaying the remaining percentage and the number of remaining bins). In addition, a full bin alarm reminder can be added to the vehicle strategy. When the remaining capacity percentage in the bin is detected to be ≤10%, a voice alarm is triggered to remind the driver that the bin is about to be full.

[0039] based on Figure 1The structure diagram of the intelligent monitoring system of the garbage capacity in the compressed garbage truck box is shown in FIG. 1 , and the intelligent monitoring method of the garbage capacity in the compressed garbage truck box is described in detail in the embodiment of the present invention. Figure 4 The flowchart of a method for intelligently monitoring the garbage capacity in a compressed garbage truck is shown in FIG. 1 . The method is applied to an intelligent monitoring system for the garbage capacity in a compressed garbage truck. The method mainly includes the following steps S402 to S406:

[0040] Step S402, obtain the real-time distance information between the vertical compression structure of the push shovel in the garbage compression compartment and the photoelectric distance sensor, as well as the horizontal thrust information in the scraper direction provided by the push shovel cylinder to the push shovel. In one embodiment, a bracket can be added to the front plate of the box body and a photoelectric distance sensor can be installed. When operating, the photoelectric distance sensor will emit infrared light to illuminate the rear cross-section of the push shovel mechanism (i.e., the vertical compression structure), and can feedback the distance of this section of light.

[0041] Step S404, through the preset intelligent calculation model, the real-time distance information and horizontal thrust information are analyzed and processed to determine the remaining capacity percentage of the box and the remaining number of garbage bins that can be loaded, and through the preset intelligent cloud platform, the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded and the garbage accumulation status of each garbage point are intelligently planned and processed to determine the target operation route. In one embodiment, since the extension and retraction stroke of the dozer of each vehicle is a fixed value, the distance it travels in the car is also a fixed value. The distance of the light irradiated to the dozer fed back by the photoelectric ranging sensor is converted with the distance the dozer retreats in the car, and then compared with the entire stroke of the dozer, the state ratio of the position of the dozer in the box can be converted.

[0042] Step S406, the percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded and the target operating route are sent to the central control screen of the compressed garbage truck for display, so as to perform intelligent monitoring and processing of the garbage capacity in the box of the compressed garbage truck. That is to say, the number of bins corresponding to the garbage loading under unit displacement and the distance obtained by the ranging sensor are collected and calculated, and the percentage of the remaining volume in the box and the remaining number of bins converted from the remaining capacity in the box can be obtained in real time, and displayed on the cab instrument or the central control screen.

[0043] The intelligent monitoring method for the garbage capacity in the compressed garbage truck box provided in the embodiment of the present invention can perform sanitation operation planning by intelligently monitoring the garbage capacity in the compressed garbage truck box, thereby improving the efficiency of sanitation operations.

[0044] The embodiment of the present invention also provides an implementation method for monitoring the remaining capacity in the box and path planning, see (1) to (3) below for details:

[0045] (1) See Figure 5 The schematic diagram of a bulldozer distance monitoring is shown, and the overall remaining volume is set to 100%. By writing a conversion formula in the cab display screen or instrument, the real-time position of the bulldozer can be fed back as the percentage of the remaining capacity in the box, that is, the minimum distance information and maximum distance information of the bulldozer in the box are obtained, wherein the minimum distance information is the distance between the photoelectric distance sensor and the initial installation position of the bulldozer, and the maximum distance information is the distance between the photoelectric distance sensor and the maximum moving position of the bulldozer when no garbage is loaded. In one embodiment, the difference between the real-time distance information and the minimum distance information can be divided by the difference between the maximum distance information and the minimum distance information, and the percentage of the quotient is determined as the percentage of the remaining capacity of the box. The expression of the percentage of the remaining capacity in the box is:

[0046]

[0047] Among them, L represents the distance from the photoelectric sensor to the maximum travel of the bulldozer, Ln represents the distance from the photoelectric sensor to any position of the bulldozer, and L2 represents the distance from the photoelectric sensor to the initial position of the bulldozer (fixed value).

[0048] (2) Through a preset intelligent calculation model, data analysis and processing are performed on the real-time distance information, the minimum distance information, and the maximum distance information to determine the percentage of the remaining capacity of the box, and the number of remaining trash cans that can be loaded is determined based on the horizontal thrust information and the percentage of the remaining capacity of the box. In one embodiment, the compression force of the dozer and the scraper on the garbage in the box in both directions when the dozer is in different positions is determined based on the horizontal thrust information of the dozer cylinder at different telescopic lengths, and the number of remaining trash cans that can be loaded corresponding to the percentage of the remaining capacity of the box is determined based on the compression force. That is to say, since the garbage loaded on the compression truck is dry garbage, the density of dry garbage can be roughly converted to 0.4T / m3, and because the push shovel cylinder is a multi-section cylinder, the cylinder diameter of each section of the cylinder will be significantly different, resulting in different compression forces on each section of the garbage when it is loaded and compressed, and the amount of garbage loaded is also different; but the retreat distance of each section of the cylinder is certain. Therefore, the garbage subjected to different compression forces can be divided into multiple equal parts according to the number of sections of the push shovel cylinder, and the retreat distance of each section of the cylinder can be converted into the amount of garbage corresponding to the number of barrels, and the number of barrels corresponding to the loaded garbage under unit displacement can be obtained.

[0049] (3) See Figure 6A schematic diagram of a remaining capacity display icon is shown, in which the remaining capacity percentage of the box and the remaining number of trash cans that can be loaded are displayed on the central control screen. If the remaining capacity percentage of the box is less than the preset capacity threshold, a full box alarm reminder is sent to the central control screen, and the route planning is re-performed according to the remaining number of trash cans that can be loaded, so that the driver of the compacted garbage truck can delay the operation on the re-planned route. In actual application, a full box prompt can be set. When the system detects that the remaining capacity percentage in the box is less than 10%, a full box alarm will be triggered, prompting the operator that the garbage is about to be full, and the driver can plan the next operation route according to the prompt.

[0050] In one embodiment, the remaining capacity and the number of garbage barrels that can be loaded for large, medium and small garbage trucks can also be calculated respectively, and the accurate capacity detection results can be fed back to the terminal server of the garbage compression truck fleet in real time, so as to make real-time path planning adjustments and publish the adjusted paths to each garbage truck. Therefore, when collecting garbage in the same community or multiple communities within a preset distance threshold range, the garbage can be collected by medium and small tonnage garbage trucks and directly transferred to large tonnage garbage trucks, which will transport it to the destination, thereby reducing the adverse effects caused by the insufficient number of garbage transfer stations and reducing the number of garbage transfer stations.

[0051] To sum up, the present invention can provide operators with more accurate feedback on the remaining volume of garbage in the box and the remaining number of loading buckets, thus avoiding human judgment, alleviating volume anxiety, and greatly increasing the work efficiency of operators. By obtaining the remaining amount of garbage at each station and the remaining loading capacity of the vehicle itself, a more suitable route can be planned through intelligent cloud platform planning or the subjective judgment of the driver, which can largely avoid multiple round trips to the same garbage point (if there is a lot of garbage at one point and the vehicle cannot be fully loaded with the remaining volume, it is necessary to go back and forth again), greatly shortening the working time of operators, and also saving the vehicle itself the loss of fuel or electricity for the round trip. In addition, the full box alarm can be triggered by detecting the volume percentage to prompt the operator, thus avoiding reducing the service life of the motion mechanism due to violent loading.

[0052] For the intelligent monitoring method of the garbage capacity in the compressed garbage truck provided in the above embodiment, the embodiment of the present invention provides an intelligent monitoring device for the garbage capacity in the compressed garbage truck, which is applied to the intelligent monitoring system for the garbage capacity in the compressed garbage truck, see Figure 7 The structure diagram of an intelligent monitoring device for the garbage capacity in a compressed garbage truck box is shown, and the device includes the following parts:

[0053] The data acquisition module 702 acquires the real-time distance information between the vertical compression structure of the push shovel in the garbage compression compartment and the photoelectric distance measuring sensor, as well as the horizontal thrust information in the scraper direction provided by the push shovel oil cylinder to the push shovel;

[0054] The data analysis module 704 performs data analysis and processing on the real-time distance information and horizontal thrust information through a preset intelligent calculation model to determine the remaining capacity percentage of the box and the remaining number of trash cans that can be loaded, and performs intelligent path planning and processing on the remaining capacity percentage of the box, the remaining number of trash cans that can be loaded, and the garbage accumulation status of each garbage point through a preset intelligent cloud platform to determine the target operation route;

[0055] The intelligent monitoring module 706 sends the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded, and the target running route to the central control screen of the compacting garbage truck for display, so as to perform intelligent monitoring and processing of the garbage capacity in the compacting garbage truck box.

[0056] The intelligent monitoring device for the garbage capacity in the compressed garbage truck box provided in the embodiment of the present application can perform sanitation operation planning by intelligently monitoring the garbage capacity in the compressed garbage truck box, thereby improving the efficiency of sanitation operations.

[0057] In one embodiment, when performing data analysis and processing on real-time distance information and horizontal thrust information through a preset intelligent calculation model to determine the percentage of remaining capacity of the box and the number of remaining trash cans that can be loaded, the above-mentioned data analysis module 704 is also used to: obtain the minimum distance information and maximum distance information of the dozer in the box, wherein the minimum distance information is the distance between the photoelectric ranging sensor and the initial installation position of the dozer, and the maximum distance information is the distance between the photoelectric ranging sensor and the maximum movement position of the dozer when no garbage is loaded; perform data analysis and processing on the real-time distance information, the minimum distance information and the maximum distance information through a preset intelligent calculation model to determine the percentage of remaining capacity of the box, and determine the number of remaining trash cans that can be loaded based on the horizontal thrust information and the percentage of remaining capacity of the box.

[0058] In one embodiment, when performing data analysis and processing on the real-time distance information, the minimum distance information and the maximum distance information through a preset intelligent calculation model to determine the percentage of the remaining capacity of the box, the above-mentioned data analysis module 704 is also used to: divide the difference between the real-time distance information and the minimum distance information by the difference between the maximum distance information and the minimum distance information, and determine the percentage of the quotient as the percentage of the remaining capacity of the box.

[0059] In one embodiment, when performing the step of determining the number of remaining trash bins that can be loaded based on the horizontal thrust information and the percentage of the remaining capacity of the box, the data analysis module 704 is also used to: determine the compression force of the push shovel and the scraper on the garbage in the box in both directions when the push shovel is in different positions based on the horizontal thrust information of the push shovel cylinder at different telescopic lengths, and determine the number of remaining trash bins that can be loaded corresponding to the percentage of the remaining capacity of the box based on the compression force.

[0060] In one embodiment, when performing the step of intelligently monitoring the garbage capacity in the compressed garbage truck box, the above-mentioned intelligent monitoring module 706 is also used to: if the percentage of the remaining capacity of the box is less than the preset capacity threshold, a full box alarm reminder is sent to the central control screen, and the path planning is re-performed according to the remaining number of loadable garbage bins, so that the driver of the compressed garbage truck can extend the re-planned route.

[0061] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0062] An embodiment of the present invention provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above-mentioned implementation methods.

[0063] Figure 8 A structural diagram of an electronic device provided in an embodiment of the present invention, the electronic device 100 includes: a processor 80, a memory 81, a bus 82 and a communication interface 83, wherein the processor 80, the communication interface 83 and the memory 81 are connected via the bus 82; the processor 80 is used to execute an executable module stored in the memory 81, such as a computer program.

[0064] The memory 81 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 83 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0065] The bus 82 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0066] Among them, the memory 81 is used to store programs, and the processor 80 executes the program after receiving the execution instruction. The method executed by the device for flow process definition disclosed in any embodiment of the above-mentioned embodiments of the present invention can be applied to the processor 80 or implemented by the processor 80.

[0067] The processor 80 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 80. The above processor 80 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiments of the present invention can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 81, and the processor 80 reads the information in the memory 81 and completes the steps of the above method in combination with its hardware.

[0068] The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer-readable storage medium storing program code, and the instructions included in the program code can be used to execute the methods described in the previous method embodiments. The specific implementation can be referred to the previous method embodiments, which will not be repeated here.

[0069] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, electronic device, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0070] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An intelligent monitoring system for the garbage capacity in a compressed garbage truck, characterized in that: The system includes: a compressed garbage truck body, a photoelectric distance sensor, a controller and a central control screen, wherein the controller is respectively connected to the compressed garbage truck body, the photoelectric distance sensor and the central control screen for communication; wherein, The compression garbage truck box body includes: a shovel mechanism, a filler mechanism and a bucket lifting mechanism, the shovel mechanism includes: a shovel, the compression garbage truck box body is used to collect garbage from the rear end of the box body into the box body through the bucket lifting mechanism, and the shovel and the filler mechanism are used to perform bidirectional compression processing on the garbage in the box body to reduce the volume occupied by the garbage in the box body; The photoelectric distance sensor is arranged at the bracket of the front plate of the box body, and is used to measure the distance information between the vertical compression structure of the bulldozer and the photoelectric distance sensor during the bidirectional compression process, and feed back the distance information to the controller; The controller is used to perform data analysis and processing on the distance information, determine the percentage of remaining capacity of the box, the remaining number of trash cans that can be loaded, and the target operating route, and send the percentage of remaining capacity of the box, the remaining number of trash cans that can be loaded, and the target operating route to the central control screen for display, so as to perform intelligent monitoring and processing of the garbage capacity in the compressed garbage truck box.

2. The intelligent monitoring system for garbage capacity in a compressed garbage truck according to claim 1 is characterized in that: The filler mechanism comprises: a filler cylinder, a scraper and a slide plate; wherein, The filler mechanism is used to dump the garbage into the box by driving the slide plate to move up and down through the filler cylinder, and compress the garbage in the box toward the front plate of the box through the closing operation of the scraper.

3. The intelligent monitoring system for garbage capacity in a compressed garbage truck according to claim 1 is characterized in that: The push shovel mechanism also includes: a push shovel oil cylinder; wherein, The push shovel oil cylinder is used to provide thrust in the scraper direction to the push shovel, so as to push the push shovel to move in the horizontal direction and compress the garbage in the box toward the scraper direction. When the thrust of the push shovel oil cylinder is greater than the pressure of the garbage, the push shovel moves horizontally toward the scraper direction. When the thrust of the push shovel oil cylinder is less than the pressure of the garbage, the push shovel moves horizontally toward the front plate of the box. When the thrust of the push shovel oil cylinder is equal to the pressure of the garbage, the push shovel remains stationary.

4. The intelligent monitoring system for the garbage capacity in the compressed garbage truck according to claim 3 is characterized in that: The dozer cylinder is a multi-section cylinder; when the dozer moves horizontally toward the scraper, the dozer cylinder extends, and the thrust provided by the dozer cylinder to the dozer decreases; when the dozer moves horizontally toward the front plate of the box, the dozer cylinder retreats, and the thrust provided by the dozer cylinder to the dozer increases.

5. An intelligent monitoring method for the garbage capacity in a compressed garbage truck, characterized in that: The method is applied to the intelligent monitoring system for the garbage capacity in the compressed garbage truck box according to any one of claims 1 to 4, and the method comprises: Acquire the real-time distance information between the vertical compression structure of the push shovel in the garbage compression compartment and the photoelectric distance measuring sensor, as well as the horizontal thrust information in the scraper direction provided by the push shovel cylinder to the push shovel; Through a preset intelligent calculation model, data analysis and processing are performed on the real-time distance information and the horizontal thrust information to determine the remaining capacity percentage of the box and the remaining number of trash cans that can be loaded, and through a preset intelligent cloud platform, intelligent path planning and processing are performed on the remaining capacity percentage of the box, the remaining number of trash cans that can be loaded, and the garbage accumulation status of each garbage point to determine the target operation route; The percentage of the remaining capacity of the box, the remaining number of garbage bins that can be loaded, and the target running route are sent to the central control screen of the compression garbage truck for display, so as to perform intelligent monitoring and processing of the garbage capacity in the compression garbage truck box.

6. The intelligent monitoring method for the garbage capacity in the compressed garbage truck according to claim 5 is characterized in that: The step of performing data analysis and processing on the real-time distance information and the horizontal thrust information by using a preset intelligent calculation model to determine the remaining capacity percentage of the box and the number of remaining trash cans that can be loaded includes: Obtaining minimum distance information and maximum distance information of the bulldozer in the box, wherein the minimum distance information is the distance between the photoelectric distance sensor and the initial installation position of the bulldozer, and the maximum distance information is the distance between the photoelectric distance sensor and the maximum movement position of the bulldozer when no garbage is loaded; By means of a preset intelligent calculation model, data analysis and processing are performed on the real-time distance information, the minimum distance information and the maximum distance information to determine the remaining capacity percentage of the box, and the remaining number of trash cans that can be loaded is determined based on the horizontal thrust information and the remaining capacity percentage of the box.

7. The intelligent monitoring method for the garbage capacity in a compressed garbage truck according to claim 6 is characterized in that: The step of performing data analysis and processing on the real-time distance information, the minimum distance information and the maximum distance information by using a preset intelligent calculation model, and determining the percentage of the remaining capacity of the box includes: The difference between the real-time distance information and the minimum distance information is divided by the difference between the maximum distance information and the minimum distance information, and the percentage of the quotient is determined as the percentage of the remaining capacity of the box.

8. The intelligent monitoring method for the garbage capacity in a compressed garbage truck according to claim 6 is characterized in that: The step of determining the number of remaining loadable trash cans according to the horizontal thrust information and the remaining capacity percentage of the box body comprises: According to the horizontal thrust information of the push shovel cylinder at different telescopic lengths, the compression force of the push shovel and the scraper on the garbage in the box in both directions when the push shovel is in different positions is determined, and according to the compression force, the remaining number of garbage bins that can be loaded corresponding to the percentage of the remaining capacity of the box is determined.

9. The intelligent monitoring method for the garbage capacity in a compressed garbage truck according to claim 5, characterized in that: The step of intelligently monitoring the garbage capacity in the compressed garbage truck box includes: If the remaining capacity percentage of the box is less than the preset capacity threshold, a full box alarm reminder is sent to the central control screen, and the route planning is re-performed according to the remaining number of loadable garbage bins, so that the driver of the compacting garbage truck can operate on the re-planned route.

10. An intelligent monitoring device for the garbage capacity in a compressed garbage truck, characterized in that: The device is applied to an intelligent monitoring system for the garbage capacity in a compressed garbage truck box, and the device comprises: A data acquisition module, for acquiring real-time distance information between the vertical compression structure of the push shovel in the garbage compression compartment and the photoelectric distance measuring sensor, and horizontal thrust information in the scraper direction provided by the push shovel cylinder to the push shovel; The data analysis module performs data analysis and processing on the real-time distance information and the horizontal thrust information through a preset intelligent calculation model to determine the remaining capacity percentage of the box and the remaining number of trash cans that can be loaded, and performs intelligent path planning and processing on the remaining capacity percentage of the box, the remaining number of trash cans that can be loaded, and the garbage accumulation status of each garbage point through a preset intelligent cloud platform to determine the target operation route; The intelligent monitoring module sends the remaining capacity percentage of the box, the remaining number of garbage bins that can be loaded, and the target running route to the central control screen of the compressed garbage truck for display, so as to perform intelligent monitoring and processing of the garbage capacity in the compressed garbage truck box.

11. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the method according to any one of claims 5 to 9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method according to any one of claims 5 to 9.

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