Pre-compression station, compression control method, system, medium and computer program product

Abstract

The invention discloses a pre-compression station, a compression control method and system, a medium and a computer program product, and the method comprises the steps: obtaining environment monitoring data and displacement data of a push head in real time when a controller detects that the push head executes a compression action; the controller calculates the weight increment of the garbage in the box body caused by the compression action based on the environment monitoring data and the displacement data; the controller is configured to store the accumulated garbage weight of the box body, determine the current accumulated garbage weight according to the garbage weight increment and the accumulated garbage weight, and determine the target rollback distance of the push head according to the current accumulated garbage weight; the controller controls the push head to return according to the target return distance; the loading capacity can be accurately controlled according to environment monitoring data.

Description

Technical Field

[0001] This invention relates to a pre-compression station, compression control method, system, medium, and computer program product, belonging to the field of sanitation equipment technology. Background Technology

[0002] With the increasing urbanization rate and the continuous growth of urban population, the total amount of domestic waste is constantly rising. To address this massive amount of waste, pre-compression stations with powerful processing capabilities have emerged and are widely used due to their outstanding compression capacity and high turnover efficiency. The basic structure of a pre-compression station consists of a pre-compression chamber added to the front of the main compressor. Domestic waste is compressed into blocks within the pre-compression chamber, and then these blocks are pushed into a transfer container, where hooks transport them to incineration plants or landfills for further processing.

[0003] Large pre-compression stations typically have 2-4 compressor units, each usually equipped with a pusher. They process approximately 1,000 tons of municipal solid waste per day. To fully utilize the station's powerful processing capacity, scientific planning of feeding, compression, and transfer control methods is necessary. The existing control mode for pre-compression stations generally involves: after collection vehicles enter the station, they are weighed; the traffic control system directs vehicles to the corresponding workstations for feeding based on the number and status of the activated compressors; after feeding, compression is manually controlled. This scheme allows for routine control of the pre-compression station, but it has drawbacks: Conventional compressor control systems typically determine fullness based on the length of the garbage blocks or the number of compressions within the pre-compression chamber. This control strategy is rather crude. Because factors affecting the loading capacity vary, such as garbage composition, moisture content, whether drainage is performed in the station and the duration of drainage, and the state of the garbage before feeding (bulk or already compressed once), it is impossible to accurately control the loading capacity, resulting in frequent underloading or overloading.

[0004] Therefore, in order to solve the above-mentioned technical problems, there is an urgent need for a pre-compression station, compression control method, system, medium and computer program product. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a pre-compression station, compression control method, system, medium, and computer program product that can accurately control the loading amount based on environmental monitoring data.

[0006] To achieve the above objectives / to solve the above technical problems, the present invention is implemented using the following technical solution: In a first aspect, the present invention provides a compression control method for a pre-compression station, comprising: When the controller detects that the pusher is performing a compression action, it acquires environmental monitoring data and pusher displacement data in real time. The controller calculates the increase in the weight of the waste inside the container due to this compression action based on the environmental monitoring data and the displacement data. The controller is configured to store the cumulative weight of the garbage in the container, determine the current cumulative weight of the garbage based on the garbage weight increment and the cumulative weight of the garbage, and determine the target retraction distance of the pusher based on the current cumulative weight of the garbage. The controller controls the pusher head to retract according to the target retraction distance.

[0007] Furthermore, based on the environmental monitoring data and the displacement data, the controller calculates the increase in the weight of the waste inside the container caused by this compression action, including: The controller determines the density of the currently fed waste and the moisture content per ton of waste based on the environmental monitoring data. The controller determines the pushing volume based on the density, moisture content and displacement data, and determines the weight increment of the waste based on the displacement data. The environmental monitoring data includes precipitation data and temperature and humidity data; The formula for calculating the increase in waste weight is as follows: ; In the formula, S represents the increment in waste weight; S represents the cross-sectional area of ​​the pusher head; L represents the pusher head pushing length. The density of the waste to be fed; The moisture content per ton of garbage.

[0008] Furthermore, determining the target retraction distance of the pusher based on the current cumulative garbage weight includes: The controller determines the remaining waste weight in the container based on the current cumulative waste weight, and calculates the target retraction distance by combining the remaining waste weight, the pusher cross-sectional area, the density of the fed waste, and the moisture content per ton of waste using the following formula: ; In the formula, The distance to retreat from the target. S represents the weight of the remaining waste, and S represents the cross-sectional area of ​​the pusher. The density of the waste to be fed; The moisture content per ton of garbage.

[0009] Furthermore, determining the density of the currently fed waste and the moisture content per ton of waste includes: Based on precipitation information, distinguish between no-precipitation and precipitation patterns; In the absence of precipitation, the baseline density and baseline moisture content are determined based on historical statistical data, and the baseline density and baseline moisture content are used as the density and moisture content per ton of waste currently being fed. In the case of precipitation, the reference density and reference moisture content are corrected based on the precipitation amount to determine the current density and current moisture content.

[0010] Furthermore, the step of correcting the reference density and reference water content based on the precipitation to determine the current density and current water content includes: The controller is configured to store a first correction coefficient and a second correction coefficient under different precipitation conditions, and to determine the first correction coefficient and the second correction coefficient under the current precipitation condition based on the precipitation. The reference density and reference water content are corrected according to the first correction coefficient and the second correction coefficient under the current precipitation conditions to obtain the current density and current water content.

[0011] Furthermore, before acquiring environmental monitoring data and pusher displacement data in real time when the controller detects that the pusher is performing a compression action, the following steps are also included: The controller responds to the scheduling command to obtain the amount of waste entering the station from the feeding vehicle and the remaining loading capacity of each workstation. The controller dispatches vehicles to designated workstations based on the amount of waste entering the station and the remaining loading capacity of each workstation. The scheduling strategy is configured to prioritize dispatching vehicles to the main feeding station and prioritize dispatching vehicles with heavy loads.

[0012] Secondly, the present invention provides a pre-compression station, comprising: Pre-compression chamber; A compression mechanism is used to drive the pusher to compress the waste inside the box. The compression mechanism is equipped with a displacement sensor for obtaining the compression stroke of the pusher. The environmental monitoring unit is used to acquire environmental monitoring data from the preload station; The controller, which is signal-connected to the displacement sensor and the environmental monitoring unit, is used to execute the pre-compression station compression control method described in the first aspect.

[0013] Furthermore, it also includes a material level sensor, which is installed at the feeding port of the pre-compression chamber to detect the feeding status; The controller is also connected to the level sensor signal and is configured to start the compression mechanism when the level sensor detects that the compression conditions are met.

[0014] Thirdly, the present invention provides a compression control system for a pre-compression station, comprising: a controller; The controller is configured to include: The information acquisition module is configured to acquire environmental monitoring data and pusher displacement data in real time in response to the detection that the pusher is performing a compression action; The first calculation module is configured to: calculate the increase in the weight of the waste inside the container caused by this compression action based on the environmental monitoring data and the displacement data; The second calculation module is configured to: store the cumulative weight of garbage in the container, determine the current cumulative weight of garbage based on the garbage weight increment and the cumulative weight of garbage, and determine the target back-off distance of the pusher based on the current cumulative weight of garbage; The execution module is configured to control the pusher head to retract according to the target retraction distance.

[0015] Fourthly, the present invention provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the pre-compression station compression control method described in the first aspect.

[0016] Fifthly, the present invention provides a non-transitory computer-readable storage medium storing computer device readable instructions that, when executed by at least one processor, cause the steps of the pre-compression station compression control method as described in the first aspect to be performed.

[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: When the present invention detects that the pusher is performing a compression action, it determines the increase in the weight of the garbage in the container caused by this compression action based on environmental monitoring data and displacement data. Then, it determines the target retraction distance of the pusher based on the current cumulative garbage weight, and controls the pusher to retract according to the target retraction distance to achieve precise loading. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the preloading station provided by the present invention; Figure 2 This is a structural block diagram of the preloading station control system provided by the present invention; In the diagram: 1. Feeding vehicle; 2. Pre-compression station control cabinet; 3. Laser rangefinder; 4. Pusher head; 5. Rear material level sensor; 6. Front material level sensor; 7. Pre-compression box; 8. Transfer box; 9. Hook arm; 10. Weighbridge; 11. Local area network; 12. Host computer; 13. Automatic rain sensor. Detailed Implementation

[0019] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0020] In the description of this invention, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first," "second," etc., may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0021] The following detailed description of some embodiments of the present invention is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0022] In one embodiment of the present invention, the compression control method for the pre-compression station includes: When the controller detects that the pusher is performing a compression action, it acquires environmental monitoring data and pusher displacement data in real time. The controller calculates the increase in the weight of the waste inside the container due to this compression action based on the environmental monitoring data and the displacement data. The controller is configured to store the cumulative weight of the garbage in the container, determine the current cumulative weight of the garbage based on the garbage weight increment and the cumulative weight of the garbage, and determine the target retraction distance of the pusher based on the current cumulative weight of the garbage. The controller controls the pusher head to retract according to the target retraction distance.

[0023] In one embodiment of the present invention, the controller calculates the increase in the weight of the waste inside the container due to the current compression action based on the environmental monitoring data and the displacement data, including: The controller determines the density of the currently fed waste and the moisture content per ton of waste based on the environmental monitoring data. The controller determines the pushing volume based on the density, moisture content and displacement data, and determines the weight increment of the waste based on the displacement data. The environmental monitoring data includes precipitation data and temperature and humidity data; The formula for calculating the increase in waste weight is as follows: ; In the formula, S is the increment in waste weight (in tons); S is the cross-sectional area of ​​the pusher head (in tons). L is the pusher length (unit: m); Waste density (unit: tons / day); The moisture content per ton of garbage.

[0024] Because the moisture content and density of the waste are closely related to whether there is rainfall on that day, and these are core parameters for calculating the loading capacity, it is necessary to monitor rainfall and temperature and humidity data in real time. Temperature and humidity data are obtained through temperature and humidity sensors, and rainfall is monitored in real time by an automatic rain sensor 13 installed in the open air at the waste station. The automatic rain sensor 13 is covered with a heating film. In winter, the temperature of the automatic rain sensor 13 is controlled to be no lower than 10°C to prevent precipitation from freezing, and it can also melt snowfall to collect rainfall data.

[0025] The work at a typical garbage station is divided into morning and afternoon shifts. The morning shift collects and compresses garbage from yesterday's afternoon shift to today's morning shift, while the afternoon shift collects and compresses garbage from today's morning shift to today's afternoon shift. Based on these characteristics, the rain gauge is emptied twice a day: once before the morning shift, with the rainfall data for that shift read before emptying; and once before the afternoon shift, with the rainfall data for that shift read before emptying.

[0026] In one embodiment of the present invention, determining the target retraction distance of the pusher based on the current cumulative garbage weight includes: The controller determines the remaining waste weight in the container based on the current cumulative waste weight, and calculates the target retraction distance by combining the remaining waste weight, the pusher cross-sectional area, the density of the fed waste, and the moisture content per ton of waste using the following formula: ; In the formula, The target retreat distance (unit: m). S represents the weight of the remaining waste (in tons), and S represents the cross-sectional area of ​​the pusher. Waste density (unit: tons / day); The moisture content per ton of garbage.

[0027] In one embodiment of the present invention, determining the density of the currently fed waste and the moisture content per ton of waste includes: Based on precipitation information, distinguish between no-precipitation and precipitation patterns; In the absence of precipitation, the baseline density and baseline moisture content are determined based on historical statistical data, and the baseline density and baseline moisture content are used as the density and moisture content per ton of waste currently being fed. In the case of precipitation, the reference density and reference moisture content are corrected based on the precipitation amount to determine the current density and current moisture content.

[0028] This invention determines the baseline water content and baseline density under a precipitation-free model based on a large amount of historical data statistics. The statistical method is as follows: Data acquisition and processing under no-precipitation mode: The control system will collect data under various temperature and humidity conditions. , The parameters are stored in Table 1 below, and the baseline water content under the no-precipitation mode is calculated using a multi-sample weighted average method. Compared with the reference density .

[0029] Table 1

[0030] In Table 1, The moisture content per ton of garbage on a day with no precipitation. = (Total daily feed weight - Total daily transport weight) / Total daily feed weight; The density of waste fed on days with no precipitation. =Total daily material weight / (Σ material pushing volume).

[0031] In one embodiment of the present invention, the step of correcting the reference density and reference water content based on the precipitation to determine the current density and current water content includes: The controller is configured to store a first correction coefficient and a second correction coefficient under different precipitation conditions, and to determine the first correction coefficient and the second correction coefficient under the current precipitation condition based on the precipitation. The reference density and reference water content are corrected according to the first correction coefficient and the second correction coefficient under the current precipitation conditions to obtain the current density and current water content.

[0032] The first and second correction coefficients are determined based on historical data, and the specific determination process is as follows: The control system will collect data under different temperature and precipitation conditions... , Parameters are stored as shown in Table 2: Table 2

[0033] In Table 2, The moisture content per ton of garbage on days with rainfall. The density of waste fed on rainy days, and The calculation method and and The calculation method is consistent. After the statistics are completed, the data in Table 2 are compared with the data in Table 1 on the moisture content and density of garbage under the same temperature range and no precipitation conditions. The calculation formula is: Since each precipitation range corresponds to multiple temperature ranges, we will obtain multiple sets of data within the same precipitation range. and All the precipitation values ​​calculated for different temperature ranges within the same precipitation range and The arithmetic mean of the values ​​yields the final first correction coefficient corresponding to this precipitation condition. Second correction coefficient In practical applications, the first correction coefficient should be selected based on the current precipitation conditions. Second correction coefficient Correction is performed on the reference moisture content and reference density by multiplying them by a determined first correction factor. Second correction coefficient This will give you the density and water content under the current precipitation level; The first correction factor is used to correct the moisture content per ton of waste, and its value range is: 1 < <2; The second correction factor is used to correct the density of the fed waste, and its value range is: 1 < <2.

[0034] In one embodiment of the present invention, before acquiring environmental monitoring data and pusher displacement data in real time when the controller detects that the pusher is performing a compression action, the method further includes: The controller responds to the scheduling command to obtain the amount of waste entering the station from the feeding vehicle and the remaining loading capacity of each workstation. The controller dispatches vehicles to designated workstations based on the amount of waste entering the station and the remaining loading capacity of each workstation. The scheduling strategy is configured to prioritize dispatching vehicles to the main feeding station and prioritize dispatching vehicles with heavy loads.

[0035] like Figure 1 As shown, in one embodiment of the present invention, a pre-compression station is also provided, comprising: Pre-compression chamber 7; The compression mechanism is used to drive the pusher 4 to compress the waste inside the box. The compression mechanism is equipped with a displacement sensor for acquiring the compression stroke of the pusher 4. Figure 1 The laser rangefinder 3 shown in the image; An environmental monitoring unit is used to acquire environmental monitoring data of the preload station. In this embodiment, it consists of an automatic rain gauge 13 and a temperature and humidity sensor. The controller, which is signal-connected to the displacement sensor and the environmental monitoring unit, is used to execute the pre-compression station compression control method described in the first aspect. The controller is installed in the pre-compression station control cabinet 2.

[0036] In one embodiment of the present invention, a material level sensor is also included, which is disposed at the feeding port of the pre-compression box and is used to detect the feeding status; The controller is also connected to the level sensor signal and configured to activate the compression mechanism when the level sensor detects that the compression conditions are met, such as... Figure 1 As shown, in this embodiment, the material level sensor includes a first material level sensor 5 and a second material level sensor 6 disposed before and after the material receiving chamber.

[0037] The host computer 12 is equipped with control software, which connects various subsystems such as the weighbridge 10, pre-compression station control cabinet 2, automatic rain sensor 13, and temperature and humidity sensor to the local area network 11 within the station. The feeding vehicle 1 delivers municipal solid waste to the pre-compression station. The pusher 4, under the control of the pre-compression station control cabinet 2, compresses the waste into the pre-compression chamber 7. During this process, the laser rangefinder 3 monitors the position of the pusher 4 in real time and sends the data to the pre-compression station control cabinet 2. The controller within the pre-compression station control cabinet 2 executes the aforementioned pre-compression station compression control method based on the relevant data. When the pre-compression chamber 7 is determined to be full based on the data from the weighbridge 10 or the laser rangefinder 3, the pusher 4 pushes the waste blocks from the pre-compression chamber 7 into the transfer container 8. The transfer container 8, with its hook arm 9, transports the waste to a landfill or incineration plant for further processing. To ensure smooth traffic flow within the compression station, the control system implements total quantity control for vehicles entering the station: When a material feeding vehicle 1 enters the station, it first drives to the weighbridge 10 for weighing. The weighing data is transmitted to the host computer 12 in real time, and the host computer 12 accumulates the number of material feeding vehicles 1 entering the station. After feeding is completed, the material feeding vehicle 1 drives out of the compression station. The weighbridge 10 senses the vehicle IC card again, and the host computer 12 accumulates the number of material feeding vehicles 1 leaving the station. The number of vehicles entering the station minus the number leaving the station is the number of material feeding vehicles 1 in the station. When this number is greater than the set value, the weighbridge 10 stops allowing material feeding vehicles 1 to enter the station.

[0038] After the feeding vehicle 1 enters the pre-compression station, it is first weighed on the weighbridge 10. The weighing data is transmitted to the host computer 12 and the pre-compression station control cabinet 2 in real time. The host computer 12 and the pre-compression station control cabinet 2 dispatch the feeding vehicle 1 to the designated work station for feeding according to the amount of garbage entering the station and the current remaining loading capacity of each work station. The host computer 12 records the total weight of garbage in the current compressor receiving work station and the pre-compression box 7. The dispatching principle is: the main feeding work station has priority, the large vehicle has priority, and the auxiliary feeding work station is fed after the main feeding work station is fully loaded.

[0039] Once the first level sensor 5 and the second level sensor 6 at the front and rear of the receiving chamber detect waste, the pusher 4 starts compression, accumulates the total weight of waste in the current pre-compression box 7, and calculates the retraction distance of the pusher 4 after the compression is completed based on the remaining load of the pre-compression box.

[0040] The weight increase in the pre-compression box for each push of material by the pusher is calculated as follows: ,according to Determine the remaining load of the preload tank ; In the formula, S: cross-sectional area of ​​the pusher; L: pusher length; The density of waste to be fed is determined based on the current shift's rainfall and a correction factor. The moisture content per ton of garbage is determined based on the current rainfall and correction factor. After the current push is completed, the pusher head retraction distance L is calculated as follows: ; when When the distance is less than the maximum backward movement of the pusher head, the pusher head moves backward to the rear limit and waits for the next compression.

[0041] An embodiment of the present invention also provides a compression control system for a pre-compression station, comprising: a controller; The controller is configured to include: The information acquisition module is configured to acquire environmental monitoring data and pusher displacement data in real time in response to the detection that the pusher is performing a compression action; The first calculation module is configured to: calculate the increase in the weight of the waste inside the container caused by this compression action based on the environmental monitoring data and the displacement data; The second calculation module is configured to: store the cumulative weight of garbage in the container, determine the current cumulative weight of garbage based on the garbage weight increment and the cumulative weight of garbage, and determine the target back-off distance of the pusher based on the current cumulative weight of garbage; The execution module is configured to control the pusher head to retract according to the target retraction distance.

[0042] In one embodiment of the present invention, a computer program product is also provided, including a computer program / instructions that, when executed by a processor, implement the steps of the pre-compression station compression control method.

[0043] In one embodiment of the present invention, a non-transitory computer-readable storage medium is also provided, storing computer device-readable instructions that, when executed by at least one processor, cause the steps of the pre-compression station compression control method to be performed.

[0044] In this embodiment, the processor is equivalent to the controller described above. In some embodiments, the controller may be, but is not limited to, a PLC, an embedded control system, an industrial computer, a processor, etc.

[0045] Embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0046] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0047] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0048] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0049] The above description is only a preferred embodiment of the present invention. Without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A compression control method for a pre-compression station, characterized in that, include: When the controller detects that the pusher is performing a compression action, it acquires environmental monitoring data and pusher displacement data in real time. The controller calculates the increase in the weight of the waste inside the container due to this compression action based on the environmental monitoring data and the displacement data. The controller is configured to store the cumulative weight of the garbage in the container, determine the current cumulative weight of garbage based on the garbage weight increment and the cumulative weight of garbage, and determine the target retraction distance of the pusher based on the current cumulative weight of garbage. The controller controls the pusher head to retract according to the target retraction distance.

2. The compression control method for the pre-compression station according to claim 1, characterized in that, Based on the environmental monitoring data and the displacement data, the controller calculates the increase in the weight of the waste inside the container caused by this compression action, including: The controller determines the density of the currently fed waste and the moisture content per ton of waste based on the environmental monitoring data. The controller determines the pushing volume based on the density, moisture content and displacement data, and determines the weight increment of the waste based on the displacement data. The environmental monitoring data includes precipitation data and temperature and humidity data; The formula for calculating the increase in waste weight is as follows: ； In the formula, S represents the increment in waste weight; S represents the cross-sectional area of ​​the pusher head; L represents the pusher head pushing length. The density of the waste to be fed; The moisture content per ton of waste.

3. The compression control method for the pre-compression station according to claim 2, characterized in that, The determination of the target retraction distance of the pusher based on the current cumulative garbage weight includes: The controller determines the remaining waste weight in the container based on the current cumulative waste weight, and calculates the target retraction distance by combining the remaining waste weight, the pusher cross-sectional area, the density of the fed waste, and the moisture content per ton of waste using the following formula: ； In the formula, The distance to retreat from the target. S represents the weight of the remaining waste, and S represents the cross-sectional area of ​​the pusher. The density of the waste to be fed; The moisture content per ton of waste.

4. The pre-compression station compression control method according to claim 2 or 3, characterized in that, Determining the density of the currently fed waste and the moisture content per ton of waste includes: Based on precipitation information, distinguish between no-precipitation and precipitation patterns; In the absence of precipitation, the baseline density and baseline moisture content are determined based on historical statistical data, and the baseline density and baseline moisture content are used as the density and moisture content per ton of waste currently being fed. In the case of precipitation, the reference density and reference moisture content are corrected based on the precipitation amount to determine the current density and current moisture content.

5. The compression control method for the pre-compression station according to claim 4, characterized in that, The step of correcting the reference density and reference water content based on the precipitation to determine the current density and current water content includes: The controller is configured to store a first correction coefficient and a second correction coefficient under different precipitation conditions, and to determine the first correction coefficient and the second correction coefficient under the current precipitation condition based on the precipitation. The reference density and reference water content are corrected according to the first correction coefficient and the second correction coefficient under the current precipitation conditions to obtain the current density and current water content.

6. The compression control method for the pre-compression station according to claim 1, characterized in that, Before acquiring real-time environmental monitoring data and pusher displacement data when the controller detects that the pusher is performing a compression action, the following steps are also included: The controller responds to the scheduling command to obtain the amount of waste entering the station from the feeding vehicle and the remaining loading capacity of each workstation. The controller dispatches vehicles to designated workstations based on the amount of waste entering the station and the remaining loading capacity of each workstation. The scheduling strategy is configured to prioritize dispatching vehicles to the main feeding station and prioritize dispatching vehicles with heavy loads.

7. A pre-compression station, characterized in that, include: Pre-compression chamber; A compression mechanism is used to drive the pusher to compress the waste inside the box. The compression mechanism is equipped with a displacement sensor for obtaining the compression stroke of the pusher. The environmental monitoring unit is used to acquire environmental monitoring data from the preload station; The controller, which is signal-connected to the displacement sensor and the environmental monitoring unit, is used to execute the pre-compression station compression control method according to any one of claims 1 to 6.

8. A pre-compression station according to claim 7, characterized in that, It also includes a material level sensor, which is installed at the feeding port of the pre-compression chamber to detect the feeding status; The controller is also connected to the level sensor signal and is configured to start the compression mechanism when the level sensor detects that the compression conditions are met.

9. A compression control system for a pre-compression station, characterized in that, include: Controller; The controller is configured to include: The information acquisition module is configured to acquire environmental monitoring data and pusher displacement data in real time in response to the detection that the pusher is performing a compression action; The first calculation module is configured to: calculate the increase in the weight of the waste inside the container caused by this compression action based on the environmental monitoring data and the displacement data; The second calculation module is configured to: store the cumulative weight of garbage in the container, determine the current cumulative weight of garbage based on the garbage weight increment and the cumulative weight of garbage, and determine the target back-off distance of the pusher based on the current cumulative weight of garbage; The execution module is configured to control the pusher head to retract according to the target retraction distance.

10. A computer program product, characterized in that, Includes a computer program / instruction that, when executed by a processor, implements the steps of the pre-compression station compression control method according to any one of claims 1 to 6.

11. A non-transitory computer-readable storage medium, characterized in that, The device stores computer-readable instructions that, when executed by at least one processor, cause the steps of the pre-compression station compression control method as described in any one of claims 1 to 6 to be performed.

Images