Sanitation vehicle information management method and device based on information sharing, and medium

Abstract

The application discloses a sanitation vehicle information management method and device based on information sharing and a medium, relates to the technical field of information management, and comprises the following steps: merging vehicle operation situations of the same operation area to obtain an area operation situation, evaluating area operation completion degree, area resource sufficiency and area potential operation pressure according to the area operation situation, and obtaining an area operation sharing situation; screening the operation area based on the area operation sharing situation to obtain a high-demand operation area, screening sanitation vehicles based on the vehicle operation situation to obtain callable vehicles, and determining a cooperative operation corresponding relationship between the callable vehicles and the high-demand operation area according to a predetermined cooperation rule by a sanitation management center; and the callable vehicles perform cooperative operation according to the cooperative operation corresponding relationship and update the vehicle operation situation; and the application quantifies the residual operation capacity of the vehicles through the vehicle operation situation, thereby improving the overall operation efficiency and the coordination of operation.

Description

Technical Field

[0001] This invention relates to the field of information management technology, and in particular to information management methods, equipment and media for sanitation vehicles based on information sharing. Background Technology

[0002] With the continuous expansion of urban sanitation operations, sanitation vehicle management is gradually shifting from manual dispatching to information-based management. Current sanitation management typically uses onboard terminals, positioning devices, and operational reporting mechanisms to collect and display the work area, progress, and operational status of individual sanitation vehicles. Tasks are then assigned and completion statistics are compiled by region or shift within the management platform. Some existing technologies, combined with historical data analysis of vehicle utilization and regional operation completion rates, assist in developing work plans, playing a role in improving the visibility of sanitation operations and basic supervision capabilities, and have become the main technical means for current sanitation vehicle management.

[0003] The existing technology still has room for improvement. First, the current management methods lack a mechanism for the fusion modeling and sharing analysis of multi-vehicle operation information, leading to inaccurate identification of high-demand operation areas. Second, the current scheduling methods usually rely on static rules or manual experience to dispatch vehicles, resulting in low efficiency in the coordinated allocation of sanitation vehicle resources. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides an information-based management method for sanitation vehicles to solve the problems of inaccurate identification of high-demand operation areas and low efficiency of collaborative dispatch.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides an information-based management method for sanitation vehicles, comprising: Obtain the operating area, operating progress, and planned operating time of each sanitation vehicle, and construct the vehicle operating status; The vehicle operation status of the same work area is merged to obtain the regional operation status. Based on the regional operation status, the regional operation completion rate, regional resource sufficiency and regional potential operation pressure are evaluated to obtain the regional operation sharing status. Based on the regional operation sharing situation, the operation areas are screened to obtain high-demand operation areas, and based on the vehicle operation situation, the sanitation vehicles are screened to obtain available vehicles. The sanitation management center determines the collaborative operation correspondence between available vehicles and high-demand operation areas according to the predetermined collaboration rules. Vehicles can be called upon to perform collaborative operations according to the corresponding collaborative operation relationship, and the vehicle operation status can be updated.

[0007] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the specific steps for constructing the corresponding vehicle operation status are as follows: Collect information on the operating areas, progress, and planned operating hours of each sanitation vehicle; Calculate available job time using planned job duration and job progress; The work area, work progress, and available work time are combined into a vehicle work status.

[0008] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the regional operation status refers to merging the vehicle operation status of the same operation area into a vehicle operation status group, and summarizing the results after deduplicating each vehicle operation status group.

[0009] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the specific steps for obtaining the regional operation sharing status are as follows: Calculate the completion rate of regional operations using the operation progress in the regional operation status; Calculate the sufficiency of regional resources using the available operating time in the regional operation status; Calculate the potential operational pressure in a region using regional task completion rate and regional resource adequacy. The regional task completion rate, regional resource adequacy, and regional potential task pressure are combined into a regional task sharing situation.

[0010] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the step of filtering work areas based on the regional operation sharing situation to obtain high-demand work areas includes: A completion threshold is set based on the historical regional task completion rate, and task regions with a completion rate below the completion threshold are designated as low task completion regions. Based on the historical potential work pressure in the region, a work pressure threshold is set, and work areas with potential work pressure exceeding the work pressure threshold are designated as high-pressure areas. The intersection of low task completion areas and high-pressure areas is defined as high-demand task areas.

[0011] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the specific steps of filtering sanitation vehicles based on their operational status to obtain callable vehicles are as follows: Set operation progress thresholds and available capacity thresholds based on vehicle operation status; Sanitation vehicles whose work progress is higher than the work progress threshold and whose available work time is higher than the available capacity threshold are considered as initially available vehicles. Use the available job duration to perform a callability check on the initially available vehicles to obtain the callable vehicles.

[0012] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the sanitation management center determines the collaborative operation correspondence between callable vehicles and high-demand operation areas according to predetermined collaboration rules. The specific steps are as follows: Associate high-demand work areas with available vehicles to form a set of candidate collaboration relationships; The sufficiency of regional resources in the work area where the available vehicles are located is divided into available resources according to the number of available vehicles in the corresponding work area. The resource sufficiency of high-demand operation areas is taken as the corresponding demand of high-demand areas, and the absolute value of the demand of high-demand areas is taken as the absolute value of demand. When the demand of high-demand areas is non-negative, the corresponding candidate collaboration relationship is removed from the candidate collaboration relationship set. When the available resources of the vehicles in a candidate collaboration relationship are less than the corresponding absolute value of the demand, the corresponding candidate collaboration relationship is removed from the candidate collaboration relationship set to obtain a valid candidate collaboration relationship set. The set of valid candidate collaborative relationships is merged according to the high-demand operation areas to obtain the collaborative operation correspondence between available vehicles and high-demand operation areas.

[0013] As a preferred embodiment of the information-sharing-based sanitation vehicle information management method of the present invention, the callable vehicles perform collaborative operations according to the corresponding collaborative operation relationship, and the specific steps are as follows. Sort the high-demand work areas according to the absolute value of the corresponding demand, and then iterate through the corresponding collaborative work relationships in turn; When there are available resources in the same high-demand operation area that are not less than the corresponding absolute value of demand, only the available vehicle with the smallest available resources is retained, and the corresponding collaborative operation relationship is saved as the collaborative operation execution content. High-demand work areas where there are no available resources not less than the corresponding absolute demand value are designated as multi-vehicle coordination areas. Sort the available vehicles according to the amount of available resources. For each multi-vehicle coordination area, select available vehicles in turn and sum them up to obtain the sum of available resources. When the sum of available resources is not less than the absolute value of the corresponding demand, the corresponding collaborative job relationship is written into the collaborative job execution content. Vehicles can be called upon to perform collaborative tasks according to the collaborative task content, and the task execution results can be recorded.

[0014] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements any step of the information-sharing-based sanitation vehicle information management method described in the first aspect of the present invention.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the information-sharing-based information management method for sanitation vehicles as described in the first aspect of the present invention.

[0016] The beneficial effects of this invention are as follows: By constructing vehicle operation status and performing integrated analysis on the operation status of multiple vehicles in the same area, a quantitative assessment of the regional operation load status is achieved, which can identify high-demand operation areas in a timely and accurate manner, avoiding the lag in operation demand judgment caused by information fragmentation; In addition, by quantitatively calculating the remaining operation capacity of vehicles through vehicle operation status, vehicles with surplus operation capacity can participate in cross-regional collaborative operations, realizing the dynamic optimization allocation of sanitation vehicle resources and improving the overall operation efficiency and coordination. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of an information-based management method for sanitation vehicles.

[0019] Figure 2 A schematic diagram for generating the operational status of the area.

[0020] Figure 3 A schematic diagram for screening high-demand work areas.

[0021] Figure 4 A diagram illustrating the execution of collaborative tasks. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides an information-based management method for sanitation vehicles, comprising the following steps: S1: Obtain the operating area, operating progress, and planned operating time of each sanitation vehicle, and construct the vehicle operating status.

[0026] S1.1: At the end of the previous management cycle, collect the corresponding work area, work progress and planned work duration for each sanitation vehicle.

[0027] The work progress is used to characterize the degree of completion of the work tasks of sanitation vehicles in the corresponding work area. It is the ratio of the completed work tasks to the total number of work tasks.

[0028] The available work time is calculated based on the work progress and planned work duration, using the following expression: ; Where C is the available work duration, T1 is the planned work duration, T2 is the work completed time, and p is the work progress.

[0029] The operating area, operating progress, and available operating time of each sanitation vehicle are merged into the corresponding sanitation vehicle's operating status record, and the operating status records of all sanitation vehicles are merged into a vehicle operating status.

[0030] It should also be noted that the ratio of completed time to work progress is used to represent the total estimated work time calculated based on the current work progress.

[0031] It should also be noted that by acquiring the operating areas, operating progress, and planned operating time of each sanitation vehicle, and constructing the vehicle operating status, the scattered vehicle operating information is uniformly transformed into structured vehicle operating status data. This allows the current operating status and available operating time of each sanitation vehicle to be quantitatively expressed, providing basic data support for subsequent vehicle screening and coordinated allocation based on the vehicle operating status, and avoiding the uncertainty caused by judging based solely on a single operating progress or human experience.

[0032] S2: Merge the vehicle operation status of the same work area to obtain the regional operation status. Based on the regional operation status, assess the regional operation completion rate, regional resource sufficiency, and regional potential operation pressure to obtain the regional operation sharing status.

[0033] S2.1: Merge the vehicle operation status of vehicles in the same work area into vehicle operation status groups corresponding to the work area, so as to realize centralized management of vehicle operation status at the work area level and meet the requirements of unified processing of sanitation vehicle operation data in big data management.

[0034] The operation status of each vehicle is grouped and deduplicated: the vehicle IDs of all sanitation vehicles are collected to distinguish different sanitation vehicles. When there are multiple operation status records for the same sanitation vehicle, the multiple operation status records are sorted according to the order of their generation time, and only the last operation status record is retained as the corresponding sanitation vehicle's operation status record.

[0035] When all sanitation vehicle operation status records have been deduplicated, the vehicle operation status in each vehicle operation status group will be merged into an area operation status.

[0036] S2.2: Calculate the regional operation completion rate based on the operation progress in the regional operation status. The expression is: ; Where F represents the regional operation completion rate, n represents the number of sanitation vehicles in the operation area, i represents the index of the sanitation vehicle in the operation area, and O i This represents the completion rate of the i-th sanitation vehicle in the work area.

[0037] The regional resource sufficiency is calculated based on the available operating time in the regional operational status, as expressed by: ; Where R represents the regional resource sufficiency, n represents the number of sanitation vehicles in the work area, i represents the index of the sanitation vehicle in the work area, and C represents the resource sufficiency of the area. i This represents the available operating time for the i-th sanitation vehicle in the operating area.

[0038] The regional resource sufficiency is normalized using the min-max normalization method to obtain the normalized regional resource sufficiency. The potential operational pressure of the region is then calculated based on the normalized regional operational completion rate and the regional operational completion rate, expressed as: ; Where S represents the potential operational pressure in the region, F represents the operational completion rate in the region, U represents the normalized regional resource sufficiency, and ε is the stability factor, which is set to 10.-8 , because 10 -8 The impact of the calculated regional potential work pressure is negligible relative to the normalized regional resource sufficiency. It is important to avoid a denominator of zero. If the result is too large, the regional potential work pressure will be reduced. If the result is too small, the regional potential work pressure will be amplified when the normalized regional resource sufficiency is close to zero.

[0039] The regional task completion rate, regional resource adequacy, and regional potential task pressure are combined into a regional task sharing situation.

[0040] It should also be noted that by merging the operational status of vehicles within the same work area and calculating the regional work completion rate, regional resource sufficiency, and regional potential work pressure based on the regional operational status, a regional shared operational status is formed. This enables a quantitative assessment of the overall operational load status of the work area, transforming the work area from single-vehicle status perception to regional-level situational perception. This provides an objective and comparable evaluation basis for subsequent identification of high-demand work areas, avoiding inaccurate judgments of regional operational status due to fragmented information from multiple vehicles.

[0041] S3: Based on the regional operation sharing status, the operation areas are screened to obtain high-demand operation areas, and based on the vehicle operation status, sanitation vehicles are screened to obtain available vehicles. The sanitation management center determines the collaborative operation correspondence between available vehicles and high-demand operation areas according to the predetermined collaboration rules.

[0042] S3.1: Collect the regional operation completion rate of each work area at the end of the previous management cycle as the historical regional operation completion rate.

[0043] Based on historical regional task completion rates, a percentile method is used to set completion thresholds. For example, historical regional task completion rates are arranged from smallest to largest, and the 20th percentile historical regional task completion rate is selected as the completion threshold. This is because the 20th percentile not only conforms to the distribution statistics characteristics in big data management, but also avoids excessively expanding the scope of high-demand task areas. A percentile greater than 20 percentile would lead to more task areas being judged as low-completion areas, increasing the number of high-demand task areas and potentially causing overly dispersed allocation of collaborative resources. A percentile less than 20 percentile would result in only a very small number of task areas being judged as low-completion areas, which might lead to some areas with high actual task pressure not being included in the high-demand task areas in a timely manner.

[0044] Collect the potential operational pressure of each work area at the end of the previous management cycle as historical potential operational pressure.

[0045] Based on the potential work pressure in historical areas, the percentile method is used to set the work pressure threshold. For example, the potential work pressure in historical areas is arranged from smallest to largest, and the 80th percentile of the potential work pressure in historical areas is selected as the work pressure threshold.

[0046] Because the 80th percentile aligns with the principle of centralized identification of abnormal pressure areas in big data management, a high percentile might result in only a very small number of work areas being identified as high-pressure areas, potentially leading to some work areas with continuously accumulating pressure not being identified in a timely manner. Conversely, a low percentile might result in more work areas being identified as high-pressure areas, easily expanding the scope of high-demand work areas and increasing the burden of collaborative scheduling.

[0047] Areas with a completion rate below the completion threshold and a potential workload above the workload threshold are designated as high-demand areas.

[0048] S3.2: Based on the work progress, the percentile method is used to set the work progress threshold. For example, all work progress is sorted from smallest to largest, and the 75th percentile work progress is selected as the work progress threshold. This is because the 75th percentile can prioritize the identification of sanitation vehicles with a high degree of work completion and a small impact on the original work area, which meets the requirements for work stability in big data management. If the threshold is greater than the 75th percentile, the number of vehicles that can be called up will decrease, and the impact of collaborative work on the original work area will be further reduced. If the threshold is less than the 75th percentile, some vehicles with insufficient work completion will be included in the callable range, which may affect the continuity of work in the original work area.

[0049] Based on available job duration, a percentile method is used to set the available capacity threshold. For example, all available job durations are arranged from smallest to largest, and the 70th percentile of available job duration is selected as the available capacity threshold. This is because the 70th percentile can expand the scale of available vehicles while ensuring basic dispatchability, meeting the requirements for flexibility in collaborative operations in big data management. If the threshold is greater than 70 percentile, only a small number of vehicles with sufficient spare capacity will be selected as available vehicles, resulting in a shrinking collaborative operation resource pool. If the threshold is less than 70 percentile, the number of available vehicles may increase, but some vehicles will have a high workload after collaborative operations.

[0050] Sanitation vehicles whose work progress exceeds the work progress threshold and whose available work time exceeds the available capacity threshold are considered as initially available vehicles.

[0051] Using available work hours to verify the availability of initially available vehicles means that initially available vehicles with positive available work hours and positive regional resource sufficiency in the work area where the initially available vehicle is located are considered as available vehicles.

[0052] S3.3: Divide the regional resource sufficiency of the work area where the available vehicles are located into available resources according to the number of available vehicles in the corresponding work area.

[0053] Each high-demand work area is paired with each available vehicle to form a set of candidate collaborative relationships.

[0054] The sufficiency of regional resources in high-demand operation areas is taken as the corresponding demand in high-demand areas, and the absolute value of the demand in high-demand areas is taken as the absolute value of demand.

[0055] The predetermined collaboration rule is: for each candidate collaboration relationship in the candidate collaboration relationship set, when the demand in the high-demand region is positive or zero, the corresponding candidate collaboration relationship is removed.

[0056] Compare the available resources of the available vehicles with the corresponding high-demand area requirements. If the available resources of the available vehicles are less than the absolute value of the corresponding demand, the corresponding candidate collaboration relationship is eliminated.

[0057] When all candidate collaborative relationships in the candidate collaborative relationship set are matched and judged according to the predetermined collaborative rules, a valid candidate collaborative relationship set is formed.

[0058] The set of valid candidate collaborative relationships is merged according to the high-demand operation areas to obtain the collaborative operation correspondence between available vehicles and high-demand operation areas.

[0059] It should also be noted that by screening high-demand operation areas based on the regional operation sharing status and selecting available vehicles based on the vehicle operation status, and then the sanitation management center determines the corresponding relationship of collaborative operations according to the predetermined collaborative rules, a quantitative match between operation demand and vehicle capacity is achieved. This allows available vehicles with surplus operating time to be prioritized for allocation to high-demand operation areas, improving the rationality of collaborative allocation of sanitation vehicle resources and reducing allocation deviations caused by static rules or human experience.

[0060] S4: Vehicles can be called upon to perform collaborative operations according to the corresponding collaborative operation relationship, and the vehicle operation status can be updated.

[0061] S4.1: Sort the absolute values ​​of the demands from smallest to largest, and iterate through the corresponding collaborative operation relationships in turn. When there are multiple vehicles whose available resources are not less than the absolute value of the demand in the corresponding high-demand area, only retain the vehicle with the smallest available resources, save the corresponding collaborative operation relationship as the collaborative operation execution content, and delete all collaborative operation relationships of the corresponding available vehicle.

[0062] When there is only one available vehicle whose available resources are not less than the absolute value of the demand in the corresponding high-demand area, the corresponding collaborative operation correspondence is written into the collaborative operation execution content, and all collaborative operation correspondences of the corresponding available vehicle are deleted.

[0063] After traversing all high-demand area requirements, high-demand operation areas where the available resources of all available vehicles are less than the absolute value of the corresponding high-demand area requirements are designated as multi-vehicle coordination areas. These multi-vehicle coordination areas are then sorted from largest to smallest based on the absolute value of the high-demand area requirements. The process continues for each multi-vehicle coordination area, and available vehicles not yet included in the collaborative operation execution content are accumulated from largest to smallest based on their available resources until the sum is not less than the absolute value of the high-demand area requirements of the multi-vehicle coordination area. Finally, the corresponding available vehicles are bound to the corresponding multi-vehicle coordination areas and the collaborative operation execution content is written into them.

[0064] S4.2: Read the operation plans of all sanitation vehicles from the sanitation management center. The vehicles can be called up to enter the corresponding high-demand operation areas to carry out sanitation operations while keeping the operation plan unchanged. The operation plan is recorded for the entire sanitation operation area, sanitation operation progress and available sanitation operation time of the vehicles, and the operation execution results are generated.

[0065] Replace the corresponding vehicle operation status with the operation execution result.

[0066] It should also be noted that by calling upon vehicles to perform collaborative operations according to the corresponding collaborative operation relationship and updating the vehicle operation status synchronously, the vehicle operation status can be dynamically updated with the results of collaborative operation execution, forming a closed-loop operation status update mechanism. This ensures the real-time and accuracy of the vehicle operation status and the regional operation sharing status in subsequent management cycles, further improving the continuity, coordination and overall operation efficiency of the sanitation vehicle information management process.

[0067] This embodiment also provides a computer device applicable to the information-based management method for sanitation vehicles, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the information-based management method for sanitation vehicles proposed in the above embodiment.

[0068] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0069] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the information-based sanitation vehicle information management method proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0070] In summary, this invention achieves a quantitative assessment of regional operational load by constructing a vehicle operational status and performing fusion analysis on the operational status of multiple vehicles within the same area. This enables timely and accurate identification of high-demand operational areas, avoiding delays in operational demand assessment caused by information fragmentation. Furthermore, by quantifying the remaining operational capacity of vehicles through the vehicle operational status, vehicles with surplus operational capacity can participate in cross-regional collaborative operations, achieving dynamic optimization of sanitation vehicle resources and improving overall operational efficiency and coordination.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An information-based management method for sanitation vehicles, characterized by: include, Obtain the operating area, operating progress, and planned operating time of each sanitation vehicle, and construct the vehicle operating status; The vehicle operation status of the same work area is merged to obtain the regional operation status. Based on the regional operation status, the regional operation completion rate, regional resource sufficiency and regional potential operation pressure are evaluated to obtain the regional operation sharing status. Based on the regional operation sharing situation, the operation areas are screened to obtain high-demand operation areas, and based on the vehicle operation situation, the sanitation vehicles are screened to obtain available vehicles. The sanitation management center determines the collaborative operation correspondence between available vehicles and high-demand operation areas according to the predetermined collaboration rules. Vehicles can be called upon to perform collaborative operations according to the corresponding collaborative operation relationship, and the vehicle operation status can be updated.

2. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The specific steps for constructing the corresponding vehicle operation status are as follows: Collect information on the operating areas, progress, and planned operating hours of each sanitation vehicle; Calculate available job time using planned job duration and job progress; The work area, work progress, and available work time are combined into a vehicle work status.

3. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The regional operation status refers to the vehicle operation status of the same operation area being merged into a vehicle operation status group, and then the group is summarized after deduplication of each vehicle operation status group.

4. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The specific steps to obtain the regional operation sharing status are as follows: Calculate the completion rate of regional operations using the operation progress in the regional operation status; Calculate the sufficiency of regional resources using the available operating time in the regional operation status; Calculate the potential operational pressure in a region using regional task completion rate and regional resource adequacy. The regional task completion rate, regional resource adequacy, and regional potential task pressure are combined into a regional task sharing situation.

5. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The specific steps for filtering high-demand operation areas based on the regional operation sharing situation are as follows: A completion threshold is set based on the historical regional task completion rate, and task regions with a completion rate below the completion threshold are designated as low task completion regions. Based on the historical potential work pressure in the region, a work pressure threshold is set, and work areas with potential work pressure exceeding the work pressure threshold are designated as high-pressure areas. The intersection of low task completion areas and high-pressure areas is defined as high-demand task areas.

6. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The specific steps for selecting available sanitation vehicles based on their operational status are as follows: Set operation progress thresholds and available capacity thresholds based on vehicle operation status; Sanitation vehicles whose work progress is higher than the work progress threshold and whose available work time is higher than the available capacity threshold are considered as initially available vehicles. Use the available job duration to perform a callability check on the initially available vehicles to obtain the callable vehicles.

7. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The sanitation management center determines the collaborative operation correspondence between available vehicles and high-demand operation areas according to predetermined coordination rules. The specific steps are as follows: Associate high-demand work areas with available vehicles to form a set of candidate collaboration relationships; The sufficiency of regional resources in the work area where the available vehicles are located is divided into available resources according to the number of available vehicles in the corresponding work area. The resource sufficiency of high-demand operation areas is taken as the corresponding demand of high-demand areas, and the absolute value of the demand of high-demand areas is taken as the absolute value of demand. When the demand of high-demand areas is non-negative, the corresponding candidate collaboration relationship is removed from the candidate collaboration relationship set. When the available resources of the vehicles in a candidate collaboration relationship are less than the corresponding absolute value of the demand, the corresponding candidate collaboration relationship is removed from the candidate collaboration relationship set to obtain a valid candidate collaboration relationship set. The set of valid candidate collaborative relationships is merged according to the high-demand operation areas to obtain the collaborative operation correspondence between available vehicles and high-demand operation areas.

8. The information-based management method for sanitation vehicles as described in claim 1, characterized in that: The callable vehicles will perform collaborative operations according to the corresponding collaborative operation relationship. The specific steps are as follows. Sort the high-demand work areas according to the absolute value of the corresponding demand, and then iterate through the corresponding collaborative work relationships in turn; When there are available resources in the same high-demand operation area that are not less than the corresponding absolute value of demand, only the available vehicle with the smallest available resources is retained, and the corresponding collaborative operation relationship is saved as the collaborative operation execution content. High-demand work areas where there are no available resources not less than the corresponding absolute demand value are designated as multi-vehicle coordination areas. Sort the available vehicles according to the amount of available resources. For each multi-vehicle coordination area, select available vehicles in turn and sum them up to obtain the sum of available resources. When the sum of available resources is not less than the absolute value of the corresponding demand, the corresponding collaborative job relationship is written into the collaborative job execution content. Vehicles can be called upon to perform collaborative tasks according to the collaborative task content, and the task execution results can be recorded.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the information-sharing-based sanitation vehicle information management method as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the information-sharing-based information management method for sanitation vehicles as described in any one of claims 1 to 8.

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