Comprehensive energy thermo-chemical logistics task scheduling settlement method and system and storage medium

Abstract

The present application belongs to the technical field of comprehensive energy, and specifically discloses a comprehensive energy thermochemical logistics task scheduling settlement method and system and a storage medium. The method is executed by a scheduling settlement platform processor to generate a heat demand task sheet, obtain a heat charging station and heat discharging end resource constraint set and a transport vehicle load state vector, generate and check a candidate operation plan, issue an operation instruction after manual confirmation, complete heat delivery calculation, station-vehicle heat consistency verification, multi-coefficient settlement heat calculation, execute work station time slice locking control and abnormality disposal, and generate a settlement list. The system is correspondingly provided with multiple modules for collaborative operation, and the storage medium stores programs to realize the above method. The present application realizes collaborative control of thermochemical energy logistics station and vehicle loads, heat delivery verification and modified settlement, solves the problems of multi-station and multi-vehicle collaboration, delivery settlement disputes and abnormality disposal, and guarantees energy supply certainty and settlement auditability.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy system technology, and discloses a method, system and storage medium for scheduling and settling integrated energy thermochemical logistics tasks. Background Technology

[0002] In integrated energy systems used for heating in industrial parks, mining areas, and industrial clusters, heat sources and users are spatially dispersed, and load fluctuations are significant. The construction and renovation costs of heating networks are high, making thermochemical energy storage mobile heating an important solution for cross-regional heating. Currently, when thermochemical energy storage is applied in a station-vehicle mode, it only manages single stations and single devices. Multiple stations and multiple transport vehicles cannot be coordinated and scheduled. Station-end resources and user delivery time windows cannot be uniformly arranged. The heat release delivery process lacks a consistency verification mechanism between station-end metering data and onboard energy status. The settlement process cannot incorporate adjustments based on transportation heat loss, energy conversion efficiency, and load attenuation. Various abnormal operating conditions can only rely on manual on-site decision-making, resulting in poor energy supply stability, high settlement dispute risks, and an inability to support large-scale operation of thermochemical energy logistics.

[0003] Based on the above problems, there is an urgent need for a technical solution that can realize station-vehicle-load coordination, heat transfer verification, correction settlement and automated anomaly handling. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention proposes a comprehensive energy thermochemical logistics task scheduling and settlement method, executed by a scheduling and settlement platform processor, comprising: S1: Generate heat demand task sheet, obtain the resource constraint set of the heat charging station, the resource constraint set of the heat release end, and the state vector of the transport vehicle and the transportable thermochemical load. S2: Generate a set of candidate operation plans based on the heat demand task sheet, the set of resource constraints of the heat charging station, the set of resource constraints of the heat release end, and the state vector of the transport vehicle and the transportable thermochemical load. S3: Perform constraint verification on the candidate job plan set, output the recommended job plan to the human-machine interface and obtain manual confirmation instructions; S4: After manual confirmation, execute the station reservation and occupancy and work instructions, collect station metering data and vehicle status data, and calculate the delivered heat after heat release is completed; S5: Perform consistency verification between the heat delivered at the station and the remaining available energy at the vehicle, and calculate the settlement heat based on the heat quality coefficient, transportation heat loss coefficient and load attenuation coefficient; S6: Executes soft locking conversion and hard locking control of workstation time slice resource usage, and generates handling suggestions when abnormal states are triggered; S7: Generate a settlement list and suggestions for handling exceptions and submit it for manual confirmation.

[0005] Preferably, the heat demand task order includes a task number, user identifier, delivery location, target heat delivery value, delivery time window, and a set of heat quality requirements. The heat charging station resource constraint set includes heat source type, available power constraint, power consumption limit, number of heat charging stations, station reservation time slice, and queuing rules. The heat release end resource constraint set includes the number of heat release stations, heat exchange capacity limit, available time window, and quality acceptance rules. The transport vehicle and transportable thermochemical load state vector includes vehicle location, estimated arrival time, tank temperature, bed temperature, mass, reactivity, remaining available energy, and safety status.

[0006] Preferably, the constraint verification includes time window constraint verification, workstation queuing constraint verification, workstation occupancy constraint verification, vehicle range constraint verification, vehicle load-bearing constraint verification, heat loss exceeding limit constraint verification, and thermal energy quality constraint verification. The soft lock setting for workstation time slice resource occupancy is set with an automatic release rule after timeout. After the manual confirmation instruction is obtained, the soft lock for workstation time slice resource occupancy is converted into a hard lock for workstation time slice resource occupancy.

[0007] Preferably, the candidate job plan set includes vehicle assignment results, heating station selection results, heating start time, heating end time, transportation route, heating station selection results, heating start time, heating end time, and workstation occupancy time slice. Hard locking of workstation time slice resource occupancy is used to execute the station-side reservation occupancy instruction and workstation queuing management.

[0008] Preferably, the delivered heat is calculated using an integral form, and the calculation formula is as follows: ; For isobaric specific heat capacity, For instantaneous flow, The instantaneous supply and return water temperature difference; the delivered heat is calculated in discrete form, and the calculation formula is as follows: , For fluid density, The flow rate sample value for the i-th sampling period. The sampled value of the supply and return water temperature difference in the i-th sampling period. The sampling period is This represents the total number of samples taken.

[0009] Preferably, the consistency verification is performed using a verification threshold, and the determination formula is as follows: , The change in remaining available energy at the vehicle end is used to determine the amount of energy change. If the result exceeds the verification threshold, a manual review suggestion is output. The manual review suggestion is linked to the station-end metering data and the vehicle-end status data.

[0010] Preferably, the formula for calculating the settlement heat is: , The thermal energy mass coefficient, The heat loss coefficient during transportation. The load attenuation coefficient is used to bind the settlement list to station-side metering data, vehicle-side status data, consistency verification results, thermal energy quality coefficient, transportation heat loss coefficient, and load attenuation coefficient.

[0011] Preferably, abnormal states include site congestion anomalies, transportation heat loss exceeding limits anomalies, substandard heat quality anomalies, user task change anomalies, and safety fault anomalies. The handling suggestions for site congestion anomalies are to reassign the station, reassign the time period, and assess the impact on settlement. The handling suggestions for transportation heat loss exceeding limits anomalies are to postpone, reassign, and partially deliver. The handling suggestions for substandard heat quality anomalies are to reduce the delivery amount, extend the heat release duration, switch to a backup heat release point, and supplement the heat. The handling suggestions for user task change anomalies are to re-arrange the task. The handling suggestions for safety fault anomalies are to stop the operation, transfer to a safe work station, and reassign a backup vehicle. When a safety fault anomaly is triggered, the current metering data is frozen.

[0012] A comprehensive energy thermochemical logistics task scheduling and settlement system, applied to any of the comprehensive energy thermochemical logistics task scheduling and settlement methods described above, including: The task order management module establishes a data connection with the human-machine interface module to generate heat demand task orders and write them into the task order table. The station-side resource modeling module establishes a data connection with the task order management module to obtain the resource constraint set of the heat charging station and the resource constraint set of the heat release end and write them into the resource table. The workstation time slice management module establishes a data connection with the station-side resource modeling module to build a workstation time slice resource occupancy table and perform soft lock conversion and hard lock control. The vehicle status acquisition module establishes a data connection with the workstation time slice management module to collect the state vectors of the transport vehicle and the transportable thermochemical load and write them into the vehicle status table. The plan generation module establishes a data connection with the vehicle status acquisition module to generate a set of candidate operation plans; The constraint verification module establishes a data connection with the plan generation module and is used to perform constraint verification. The delivery metering module establishes a data connection with the constraint verification module to collect station-end metering data and vehicle-end status data and calculate the delivery heat. The consistency verification module establishes a data connection with the delivery measurement module to perform consistency verification of changes in heat delivered at the station and remaining available energy at the vehicle. The settlement correction module establishes a data connection with the consistency verification module to calculate the settlement heat and generate the settlement list; The exception handling module establishes a data connection with the settlement correction module and is used to generate handling suggestions when an abnormal state is triggered. The manual confirmation module establishes a data connection with the anomaly handling module and the human-machine interface module to obtain manual confirmation instructions and issue work instructions. The audit traceability module establishes a data connection with the manual confirmation module and the settlement correction module to store settlement lists and anomaly handling suggestions.

[0013] A computer-readable storage medium is characterized in that it stores a computer program, which, when executed by a scheduling and settlement platform processor, implements the steps of the integrated energy thermochemical logistics task scheduling and settlement method described above.

[0014] Technical effects: This invention achieves collaborative scheduling of station resources and user time windows through soft and hard locking of workstation time slices, eliminates delivery and settlement disputes through consistency verification of station-delivered heat and vehicle-mounted energy changes, achieves auditable settlement through three coefficient corrections of heat quality, transportation heat loss, and load attenuation, and replaces manual decision-making by automatically generating handling suggestions for multiple types of anomalies. It solves the core problems of existing thermochemical energy logistics, such as difficulty in multi-station and multi-vehicle coordination, lack of delivery verification, lack of settlement correction, and reliance on manual handling of anomalies, improves the certainty of energy supply and operational auditability, and supports large-scale engineering applications. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 Here is a flowchart of a multi-device collaborative control method based on edge control nodes; Figure 2 A schematic diagram of the timing interaction between the station and the vehicle load in coordinated operations. Figure 3 This is a schematic diagram of the data flow for multi-source data acquisition and processing in heat delivery settlement. Detailed Implementation

[0017] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0018] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0019] Existing thermochemical energy logistics faces technical challenges such as difficulties in coordinating multiple stations and vehicles, lack of verification for heat delivery, lack of correction in settlement, and manual handling of anomalies.

[0020] Based on this, please refer to Figures 1-3 This embodiment provides a method for scheduling and settling integrated energy thermochemical logistics tasks. The entire operation process is executed by a scheduling and settlement platform processor, an industrial-grade embedded processor equipped with a real-time operating system. It possesses basic functions for data acquisition, processing, instruction issuance, and data storage. The processor establishes data communication links with the control terminal of the integrated energy station, the metering equipment at the heat release end, and the on-board terminal of the transport vehicle via an industrial Ethernet network. All data transmissions adhere to industrial communication protocols, ensuring the stability and real-time performance of data transmission. The generation of heat demand task orders is completed by the scheduling and settlement platform processor receiving heat demand data sent by the user terminal. The user terminal submits heat demand-related information through a human-machine interface. The processor performs format and data integrity checks on the received information. After successful checks, a standardized heat demand task order is generated, and the task order is stored in the processor's built-in storage unit in structured data format.

[0021] The operation of obtaining the resource constraint set of the charging and heating station is completed by the processor sending a data request instruction to the resource management terminal of the charging and heating station. After receiving the instruction, the resource management terminal of the charging and heating station packages the resource-related data of the charging and heating station at the current moment and transmits it to the processor. The processor parses and classifies the received data to form a standardized resource constraint set of the charging and heating station.

[0022] The process of obtaining the resource constraint set at the heat release end is the same as that of obtaining the resource constraint set at the heat charging station. The processor sends a data request command to the resource monitoring terminal at the heat release end, and the resource monitoring terminal returns the corresponding data. The processor parses the data to form the resource constraint set at the heat release end. The process of obtaining the state vector of the transport vehicle and the transportable thermochemical load is completed by the processor communicating with the on-board control unit of the transport vehicle through the wireless communication module. The on-board control unit collects the operating status of the transport vehicle and the physical state data of the thermochemical load in real time, and uploads the data to the processor in real time. The processor filters and converts the data to form the state vector of the transport vehicle and the transportable thermochemical load.

[0023] The process of generating a candidate work plan set based on the heat demand task sheet, the resource constraint set of the heat charging station, the resource constraint set of the heat release end, and the state vector of the transport vehicle and the transportable thermochemical load is completed by the processor calling the built-in work plan generation algorithm. The algorithm takes the four types of data as input parameters, traverses all feasible work combinations, and filters out combinations that meet the basic operating conditions to form a candidate work plan set. The candidate work plan set is stored in list form, and each plan corresponds to independent identification information. The constraint verification operation of the candidate work plan set is completed by the processor calling the constraint verification logic. The verification logic verifies the compliance of each candidate work plan one by one according to the preset judgment rules, eliminates plans that do not meet the judgment rules, and retains compliant candidate work plans. The operation of outputting the recommended work plan to the human-machine interface and obtaining the manual confirmation instruction is completed by the processor prioritizing the compliant candidate work plans, selecting the plan with the highest priority as the recommended work plan, and pushing the entire content of the recommended work plan to be displayed on the human-machine interface. The human-machine interface receives the confirmation instruction input by the operator and transmits it to the processor, which completes the parsing and storage of the confirmation instruction.

[0024] After manual confirmation, the station reservation and operation instructions are issued, and the station metering data and vehicle status data are collected. The processor sends reservation instructions to the control equipment of the heating station and the heat release station. After receiving the instructions, the control equipment completes the reservation configuration of the workstation resources. At the same time, the processor sends operation instructions to the transport vehicle. The transport vehicle performs heating, transportation and heat release operations according to the instructions. During the operation, the processor continuously collects the output data of the metering equipment at the station and the status data uploaded by the vehicle terminal. The data collection frequency is set according to the industrial metering standard, and the collected data is stored in the data cache unit in real time.

[0025] After heat release, the process of calculating the delivered heat is performed by the processor, which calls a heat metering algorithm to process the collected station-side metering data and obtain the numerical result of the delivered heat. The process of verifying the consistency between the station-side delivered heat and the change in remaining available energy at the vehicle end is performed by the processor, which retrieves the delivered heat value and the change data of remaining available energy at the vehicle end, compares them according to preset verification rules, and obtains the verification result. The process of calculating the settlement heat based on the thermal energy quality coefficient, transportation heat loss coefficient, and load attenuation coefficient is performed by the processor, which multiplies the delivered heat value by the three coefficients sequentially to obtain the final settlement heat value.

[0026] The processor manages the soft-lock and hard-lock switching of workstation time slice resource occupancy according to preset locking rules. In a soft-lock state, resources are automatically released after timeout; in a hard-lock state, resources are exclusively occupied until the job is completed. The processor generates handling suggestions when abnormal states are triggered by real-time monitoring of the entire job's operating parameters. When parameters exceed preset thresholds, an abnormal state is identified, and the processor uses an abnormal handling algorithm to generate corresponding handling suggestions. The processor generates a settlement list and abnormal handling suggestions for manual confirmation by integrating settlement heat data, raw metering data, and abnormal handling suggestions into a standardized settlement list. This settlement list is then pushed to the human-machine interface for operator confirmation. After confirmation, the processor completes the final storage and archiving of the data.

[0027] All of the above operations are executed continuously by the scheduling and settlement platform processor. The steps form a closed loop through data transmission. No human intervention is required for core calculations and judgments. Human instructions are only received during the confirmation stage. Technical personnel in the relevant technical field can complete the entire process control of thermochemical energy logistics by following the above process without any creative effort.

[0028] The heat demand task order includes a task number, user identifier, delivery location, target heat value to be delivered, delivery time window, and a set of heat quality requirements. The task number is a unique numerical code automatically generated by the processor to distinguish different heat demand tasks. The user identifier is the user's exclusive identity code to link the user's historical data and settlement information. The delivery location is the specific geographical coordinates of the heat release operation. The target heat value to be delivered is the amount of heat the user needs to obtain. The delivery time window is the start and end times that the user is allowed to complete the heat release operation. The set of heat quality requirements is the user's specific requirements for heating temperature, temperature stability, and flow parameters.

[0029] The resource constraint set of the charging station includes heat source type, available power constraint, power consumption limit, number of charging stations, station reservation time slice, and queuing rules. The heat source type is the specific type of electric boiler, heat pump, or waste heat recovery unit used by the charging station. The available power constraint is the upper limit of the charging power that the charging station can output. The power consumption limit is the total amount of electrical energy that the charging station is allowed to consume. The number of charging stations is the number of stations that the charging station can accommodate for charging operations of transport vehicles at the same time. The station reservation time slice is the continuous time unit in which the stations of the charging station are divided. The queuing rules are the sorting rules of the charging station for waiting transport vehicles.

[0030] The set of resource constraints at the heat release end includes the number of heat release stations, the upper limit of heat exchange capacity, the available time window, and the quality acceptance rules. The number of heat release stations is the number of stations at the heat release end that can simultaneously accommodate transport vehicles to perform heat release operations. The upper limit of heat exchange capacity is the maximum amount of heat that the heat exchange equipment at the heat release end can handle. The available time window is the time range within which the heat release end is allowed to perform heat release operations. The quality acceptance rules are the criteria for the heat release end to judge the quality of the delivered heat energy.

[0031] The state vector of the transport vehicle and the transportable thermochemical load includes the vehicle location, estimated arrival time, tank temperature, bed temperature, mass, reactivity, remaining available energy, and safety status. The vehicle location is the real-time geographical coordinate of the transport vehicle, the estimated arrival time is the predicted time when the transport vehicle arrives at the charging station or heat release end, the tank temperature is the real-time temperature value of the thermochemical load storage tank, the bed temperature is the real-time temperature value of the thermochemical energy storage material, the mass is the total mass value of the thermochemical load, the reactivity is the percentage of reaction completion of the thermochemical energy storage material, the remaining available energy is the effective heat value that the thermochemical load can release, and the safety status is the safety operation identification information of the transport vehicle and the load.

[0032] All of the above data elements are collected and transmitted through corresponding hardware devices. The data format is uniformly floating-point or character type, which can be directly recognized and processed by the scheduling and settlement platform processor without the need for additional data format conversion.

[0033] The constraint verification includes time window constraint verification, workstation queuing constraint verification, workstation occupancy constraint verification, vehicle range constraint verification, vehicle load constraint verification, thermal loss exceeding limit constraint verification, and thermal energy quality constraint verification. The time window constraint verification is used to determine whether the operation time of the candidate operation plan is within the user delivery time window and the site available time window. The workstation queuing constraint verification is used to determine whether the queuing time when the transport vehicle arrives at the site exceeds the preset limit. The workstation occupancy constraint verification is used to determine whether the workstation time slice occupied by the candidate operation plan conflicts with the already booked plan. The vehicle range constraint verification is used to determine whether the range of the transport vehicle meets the mileage requirements of the transport route. The vehicle load constraint verification is used to determine whether the mass of the thermochemical load exceeds the maximum load limit of the transport vehicle. The thermal loss exceeding limit constraint verification is used to determine whether the thermal loss value during the transportation process exceeds the preset upper limit. The thermal energy quality constraint verification is used to determine whether the thermal energy parameters of the planned delivery meet the user's thermal energy quality requirements.

[0034] The soft lock setting for workstation time slice resource occupancy has an automatic release rule after a timeout. The timeout duration is preset and stored by the processor. In the soft lock state, the processor continuously monitors the reception status of manual confirmation commands. If no manual confirmation command is received within the preset timeout duration, the processor automatically releases the soft lock state of the workstation time slice, restoring it to an available state. After the manual confirmation command is received, the soft lock on the workstation time slice resource occupancy is converted to a hard lock. In the hard lock state, the processor prohibits other work plans from occupying the workstation time slice until the current work plan's heating or cooling operation is completed. After the operation is completed, the processor automatically releases the hard lock state, completing the release of the workstation resource.

[0035] The seven dimensions of constraint verification cover all restrictions on the execution of the work plan. The switching logic of the locking rules is linked with the constraint verification results to ensure that no resource conflicts or operational violations occur after the candidate work plan is converted into an execution plan.

[0036] The candidate job plan set includes vehicle assignment results, heating station selection results, heating start time, heating end time, transportation route, heat release station selection results, heat release start time, heat release end time, and workstation occupancy time slice. The vehicle assignment result is the identification information of the transport vehicle selected by the processor to perform the task. The heating station selection result is the identification information of the heating station selected by the processor to heat the transport vehicle. The heating start time is the specific time point when the transport vehicle begins the heating operation. The heating end time is the specific time point when the transport vehicle completes the heating operation. The transportation route is the route planned by the processor for the transport vehicle to travel from the heating station to the heat release end. The heat release station selection result is the identification information of the heat release end selected by the processor to perform the heat release operation. The heat release start time is the specific time point when the transport vehicle begins the heat release operation. The heat release end time is the specific time point when the transport vehicle completes the heat release operation. The workstation occupancy time slice is the continuous time unit during which the transport vehicle occupies the workstation of the heating station or the heat release end. Hard locking of workstation time slice occupancy is used for issuing station-side reservation occupancy commands and managing workstation queues. The processor encapsulates the hard-locked workstation time slice information into a reservation occupancy command and sends it to the control equipment at the heating and releasing ends. The control equipment updates the workstation resource occupancy status according to the command, and the processor updates the workstation queue list based on the hard-lock information, adjusting the queuing order of waiting transport vehicles to ensure the orderly allocation of workstation resources. All components of the candidate job plan are necessary information for job execution and can be directly sent to the corresponding hardware equipment for execution without the need for information supplementation or adjustment.

[0037] The delivered heat is calculated using an integral form, and the calculation formula is as follows: ; This formula is derived based on the fundamental theory of heat measurement in thermodynamics. The essence of heat measurement is the integral calculation of the thermal energy transferred by a fluid during its flow, specifically the isobaric specific heat capacity. The physical meaning of specific heat capacity is the amount of heat absorbed by a unit mass of fluid under constant pressure to increase its temperature by a unit value. The unit is joules per kilogram per degree Celsius. The specific heat capacity at constant pressure is a fixed physical parameter determined by the fluid's material composition and can be obtained from a physical parameter handbook. Instantaneous flow rate. The physical meaning of is the volume of fluid flowing through the metering section per unit time, measured in cubic meters per second. This parameter is collected in real time by an electromagnetic flowmeter at the station. The flowmeter converts the collected analog signal into a digital signal and transmits it to the dispatching and settlement platform processor. Instantaneous supply and return water temperature difference. The physical meaning of is the real-time temperature difference between the fluid in the heating pipe and the fluid in the return pipe, expressed in degrees Celsius. This parameter is obtained by the processor after the temperature sensors at the station collect the heating temperature and the return temperature, respectively, and then perform a difference calculation. The integration calculation interval is the entire time of the heat release operation, from the start to the end of the heat release. The processor performs the integration calculation over the continuous time using a numerical integration algorithm to obtain the integral calculation result of the delivered heat. The delivered heat is calculated in a discrete form, and the calculation formula is: ; This formula is a discretized derivation of the integral formula in an industrial sampling and metering scenario, suitable for practical applications where sensors perform periodic sampling. (Fluid density) The physical meaning of is the mass of fluid per unit volume, measured in kilograms per cubic meter. It is a fixed physical parameter of the fluid and, along with the isobaric specific heat capacity, is input as a fixed parameter to the processor. The flow rate sample value in the i-th sampling period. This represents the average flow rate collected by the electromagnetic flowmeter during the i-th sampling period, expressed in cubic meters per second. The sampled value of the supply and return water temperature difference during the i-th sampling period is also included. This represents the temperature difference between the supply and return water collected by the temperature sensor during the i-th sampling period, in degrees Celsius. Sampling period This is the time interval between two data acquisitions from the sensor, measured in seconds. The sampling period is preset by the processor to ensure that the sampling frequency meets the measurement accuracy requirements. Total number of samples. The total number of sensor samples taken throughout the entire heat release operation is a dimensionless positive integer, calculated by the processor based on the total duration of the heat release operation and the sampling period. The discrete formula's operation logic involves dividing the continuous heat release process into multiple sampling periods of equal duration, calculating the heat transferred in each sampling period, and then summing the heat values ​​from all sampling periods to obtain the final delivered heat value. Both calculation methods are automatically executed by the scheduling and settlement platform processor. The integral form is suitable for high-precision metering scenarios, while the discrete form is suitable for conventional industrial metering scenarios. Technical personnel in the relevant fields can choose the appropriate calculation method based on actual metering needs without requiring any creative effort.

[0038] Consistency verification uses a verification threshold for judgment, and the judgment formula is as follows: ; This formula, based on relative error theory, is used to determine the consistency between the delivered heat measured at the station and the energy change data at the vehicle end. The calculation method of relative error eliminates the influence of the heat value on the verification results, ensuring the uniformity of verification standards. (Change in remaining available energy at the vehicle end) The physical meaning of "consistency" is the difference in remaining usable energy of the transport vehicle's thermochemical load before and after the heat release operation, measured in joules. This parameter is calculated by the processor using data collected from the onboard terminal before and after the heat release operation. The verification threshold is a preset fixed value used to define the pass / fail standard for consistency verification. The processor compares the relative error calculated by the formula with the verification threshold. When the relative error is less than or equal to the verification threshold, the change in delivered heat and the change in remaining usable energy at the vehicle end are considered consistent. When the relative error is greater than the verification threshold, they are considered inconsistent. If the results are inconsistent, the processor automatically outputs a manual review suggestion. This suggestion includes all original data from the station's metering, all collected data on the remaining usable energy at the vehicle end, the calculated result of the delivered heat, and the change in the remaining usable energy at the vehicle end. The processor pushes the manual review suggestion to the human-machine interface, prompting the operator to review the data. All data from the consistency verification process is stored in the processor's storage unit and can be retrieved and viewed at any time, ensuring the traceability of the verification process.

[0039] The formula for calculating the total calorie intake is as follows: ; This formula is based on the actual loss patterns of thermochemical energy logistics. It corrects the delivered heat using three types of coefficients to arrive at a settlement heat value that reflects actual operating conditions. All three coefficients are dimensionless and are calculated by the processor based on actual operating parameters. (Thermal energy quality coefficient) This coefficient is used to correct for the impact of substandard heat quality on the calculated heat load. The coefficient value is determined based on the heat quality acceptance results at the heat release end. When the heat quality meets the standard, the coefficient is a fixed standard value; when the heat quality fails to meet the standard, the coefficient decreases according to preset rules. (Transportation heat loss coefficient) This coefficient is used to correct for the impact of heat loss during transportation on the calculated heat value. The value is calculated based on the heat loss rate during transport; the lower the heat loss rate, the closer the coefficient is to the standard value. Load attenuation coefficient. This is used to correct for the impact of thermochemical load performance degradation on the settlement heat value. The coefficient is calculated based on parameters such as the reactivity of the thermochemical load and its usage duration. The lower the load degradation, the closer the coefficient is to the standard value. The processor multiplies the delivered heat value by the three types of coefficients in sequence to obtain the final settlement heat value. The settlement list is linked to station-side metering data, vehicle-side status data, consistency verification results, thermal energy quality coefficient, transportation heat loss coefficient, and load degradation coefficient. All data is stored in a structured format to ensure that every step of the settlement process is supported by data, achieving auditability and traceability of the settlement process.

[0040] Abnormal states include site congestion, excessive heat loss during transportation, substandard heat quality, user task changes, and safety malfunctions. These five categories cover all common fault scenarios in the operation of thermochemical energy logistics. The processor determines the triggering conditions of abnormal states by monitoring operating parameters in real time. The handling suggestions for site congestion include reassignment to a different site, reassignment time period, and settlement impact assessment. The processor automatically selects available alternative heat charging stations or heat dissipation terminals, determines a new operating time period, and calculates the impact of the reassignment operation on the settlement heat value, forming a complete reassignment recommendation.

[0041] For abnormal heat loss during transportation, the recommended handling methods are delay, rerouting, and partial delivery. The processor will select appropriate methods based on the severity of the heat loss, such as extending the transportation time, changing the transportation route, or performing partial heat release operations. For abnormal heat quality, the recommended handling methods are reduced delivery, extended heat release duration, switching to a backup heat release point, and supplementary heat. The processor will develop corresponding remedial measures based on the degree of heat quality deviation to ensure that the user's basic heating needs are met.

[0042] The recommended handling for user task change anomalies is task rescheduling. The processor regenerates a set of candidate job plans based on the user's changed requirements and reschedules the tasks. The recommended handling for safety fault anomalies is to stop work, move to a safe workstation, and reassign a backup vehicle. The processor immediately issues a stop-work order, controls the transport vehicle to a safe workstation, and simultaneously selects a backup vehicle to take over the task. When a safety fault anomaly is triggered, the processor automatically freezes the current metering data to prevent data loss or tampering. All handling recommendations are generated by the processor using a preset algorithm, eliminating the need for manual on-site judgment. Operators only need to confirm the handling recommendations to complete the anomaly handling.

[0043] The system includes a task order management module, which establishes a data connection with the human-machine interface (HMI) module. The HMI module transmits user-inputted heat demand data to the task order management module, which then verifies and formats the data, generates heat demand task orders, and writes the task order data into a task order table. The task order table is stored in the processor's built-in storage unit, achieving persistent storage of task order data. A station-side resource modeling module also establishes a data connection with the task order management module. This module actively sends data requests to the resource terminals of the heating and releasing stations, receives the resource constraint sets of the heating and releasing stations, models the data, and writes it into a resource table. The resource table and the task order table form a data association, providing resource data support for work plan generation. Finally, a workstation time slice management module establishes a data connection with the station-side resource modeling module. Based on the workstation data and time slice data in the resource table, the workstation time slice management module constructs a workstation time slice resource occupancy table, performs soft-lock conversion and hard-lock control according to locking rules, and updates the status data of the resource occupancy table in real time.

[0044] The vehicle status acquisition module establishes a data connection with the workstation time slice management module. The vehicle status acquisition module communicates wirelessly with the onboard terminal of the transport vehicle to collect the real-time status vectors of the transport vehicle and transportable thermochemical loads. After filtering the data, it is written into the vehicle status table, which is updated in real-time to ensure the real-time nature of the status data. The plan generation module establishes a data connection with the vehicle status acquisition module. It retrieves data from the task sheet table, resource table, vehicle status table, and workstation time slice resource occupancy table, and calls the job plan generation algorithm to generate a set of candidate job plans. The constraint verification module establishes a data connection with the plan generation module. It retrieves data from the candidate job plan set, performs seven types of constraint verification, filters out compliant candidate job plans, and prioritizes them.

[0045] The delivery metering module establishes a data connection with the constraint verification module. The delivery metering module collects station-side metering data and vehicle-side status data, and calls the heat metering algorithm to calculate the delivery heat. The consistency verification module establishes a data connection with the delivery metering module. The consistency verification module retrieves the delivery heat data and vehicle-side remaining available energy change data, performs consistency verification, and outputs the verification results. The settlement correction module establishes a data connection with the consistency verification module. The settlement correction module retrieves the delivery heat data and three types of correction coefficients, calculates the settlement heat, and integrates them to generate a settlement list. The anomaly handling module establishes a data connection with the settlement correction module. The anomaly handling module monitors operating parameters in real time, and when an anomaly is triggered, it calls the handling algorithm to generate handling suggestions.

[0046] The manual confirmation module establishes data connections with the anomaly handling module and the human-machine interface module. The manual confirmation module receives manual confirmation instructions transmitted from the human-machine interface and sends these instructions to the corresponding execution modules, while simultaneously sending work instructions to the station-side equipment and the vehicle-mounted terminal. The audit and traceability module establishes data connections with the manual confirmation module and the settlement correction module. The audit and traceability module stores settlement lists and anomaly handling suggestions, and associates all original data and operation records to achieve full-process data auditing and traceability. All modules interact via a data bus. Module functions and operation processes correspond one-to-one. The module architecture can be directly deployed on the hardware of the scheduling and settlement platform, and technical personnel in the relevant technical fields can complete the system construction and debugging based on the module descriptions.

[0047] The computer-readable storage medium stores a computer program whose code logic is completely consistent with all steps of the thermochemical energy logistics task scheduling and heat delivery settlement method. The program code is written in a programming language commonly used in industrial control and is adapted to the operating environment of the scheduling and settlement platform processor. When the computer program is executed by the scheduling and settlement platform processor, it sequentially performs all operations including task order generation, resource data acquisition, work plan generation, constraint verification, manual confirmation, work execution, heat measurement, consistency verification, settlement calculation, workstation locking, anomaly handling, and inventory list generation.

[0048] The computer-readable storage medium is an industrial-grade storage medium with anti-interference, high-temperature resistance, and persistent data storage characteristics. It is suitable for industrial operation scenarios of integrated energy systems. Computer programs can be written to the storage medium through a programming device, and then the storage medium is installed on the processor interface of the scheduling and settlement platform. After the processor is powered on, it automatically reads and executes the program code without the need for additional program development and debugging. Technical personnel in the relevant technical field can directly use the storage medium to solidify and apply the technical solution.

[0049] Unless otherwise specified, the equipment components involved in the above embodiments are all conventional equipment components, and the connection methods and control methods involved are all conventional connection methods and control methods unless otherwise specified.

[0050] The present invention has been described in detail above with reference to the embodiments. However, those skilled in the art will understand that, without departing from the spirit of the present invention, various specific parameters in the above embodiments can be changed to form multiple specific embodiments, all of which are common variations of the present invention, and will not be described in detail here.

Claims

1. A method for scheduling and settling integrated energy thermochemical logistics tasks, characterized in that, Executed by the scheduling and settlement platform processor, including: S1: Generate heat demand task sheet, obtain the resource constraint set of the heat charging station, the resource constraint set of the heat release end, and the state vector of the transport vehicle and the transportable thermochemical load. S2: Generate a set of candidate operation plans based on the heat demand task sheet, the set of resource constraints of the heat charging station, the set of resource constraints of the heat release end, and the state vector of the transport vehicle and the transportable thermochemical load. S3: Perform constraint verification on the candidate job plan set, output the recommended job plan to the human-machine interface and obtain manual confirmation instructions; S4: After manual confirmation, execute the station reservation and occupancy and work instructions, collect station metering data and vehicle status data, and calculate the delivered heat after heat release is completed; S5: Perform consistency verification between the heat delivered at the station and the remaining available energy at the vehicle, and calculate the settlement heat based on the heat quality coefficient, transportation heat loss coefficient and load attenuation coefficient; S6: Executes soft locking conversion and hard locking control of workstation time slice resource usage, and generates handling suggestions when abnormal states are triggered; S7: Generate a settlement list and suggestions for handling exceptions and submit it for manual confirmation.

2. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 1, characterized in that, The heat demand task sheet includes task number, user identifier, delivery location, target heat value, delivery time window, and set of heat quality requirements. The resource constraint set for the charging station includes heat source type, available power constraint, power consumption limit, number of charging stations, station reservation time slice, and queuing rules. The resource constraint set for the heat release end includes the number of heat release stations, heat exchange capacity limit, available time window, and quality acceptance rules. The state vector of the transport vehicle and transportable thermochemical load includes vehicle location, estimated arrival time, tank temperature, bed temperature, mass, reactivity, remaining available energy, and safety status.

3. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 2, characterized in that, The constraint verification includes time window constraint verification, workstation queuing constraint verification, workstation occupancy constraint verification, vehicle range constraint verification, vehicle load constraint verification, heat loss exceeding limit constraint verification, and thermal energy quality constraint verification. The soft lock setting for workstation time slice resource occupancy has an automatic release rule after timeout. After the manual confirmation instruction is obtained, the soft lock for workstation time slice resource occupancy is converted into a hard lock for workstation time slice resource occupancy.

4. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 3, characterized in that, The candidate job plan set includes vehicle assignment results, heating station selection results, heating start time, heating end time, transportation route, heating station selection results, heating start time, heating end time, and workstation occupancy time slice. Hard locking of workstation time slice resource occupancy is used to execute the station-side reservation occupancy command issuance and workstation queuing management.

5. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 4, characterized in that, The delivered heat is calculated using an integral form, and the calculation formula is as follows: ； For isobaric specific heat capacity, For instantaneous flow, This refers to the instantaneous temperature difference between the supply and return water. The delivered heat is calculated in a discrete form, and the calculation formula is as follows: , For fluid density, The flow rate sample value for the i-th sampling period. The sampled value of the supply and return water temperature difference in the i-th sampling period. The sampling period is This represents the total number of samples taken.

6. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 5, characterized in that, Consistency verification uses a verification threshold for judgment, and the judgment formula is as follows: ， The change in remaining available energy at the vehicle end is used to determine the amount of energy change. If the result exceeds the verification threshold, a manual review suggestion is output. The manual review suggestion is linked to the station-end metering data and the vehicle-end status data.

7. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 6, characterized in that, The formula for calculating the total calorie intake is as follows: ， The thermal energy mass coefficient, For the heat loss coefficient during transportation, The load attenuation coefficient is used to bind the settlement list to station-side metering data, vehicle-side status data, consistency verification results, thermal energy quality coefficient, transportation heat loss coefficient, and load attenuation coefficient.

8. The integrated energy thermochemical logistics task scheduling and settlement method according to claim 7, characterized in that, Abnormal statuses include site congestion, excessive heat loss during transportation, substandard heat quality, user task change, and safety malfunction. The recommended handling for site congestion is to reassign the station, adjust the reassignment time, and assess the impact on settlement. The recommended handling for excessive heat loss during transportation is to postpone, reassign, or partially deliver. The recommended handling for substandard heat quality is to reduce delivery fees, extend heat release duration, switch to a backup heat release point, and supplement heat. The recommended handling for user task change is to reschedule the task. The recommended handling for safety malfunction is to stop operations, move to a safe workstation, and reassign a backup vehicle. When a safety malfunction is triggered, the current metering data is frozen.

9. A comprehensive energy thermochemical logistics task scheduling and settlement system, applied to the comprehensive energy thermochemical logistics task scheduling and settlement method according to any one of claims 1-8, characterized in that, include: The task order management module establishes a data connection with the human-machine interface module to generate heat demand task orders and write them into the task order table. The station-side resource modeling module establishes a data connection with the task order management module to obtain the resource constraint set of the heat charging station and the resource constraint set of the heat release end and write them into the resource table. The workstation time slice management module establishes a data connection with the station-side resource modeling module to build a workstation time slice resource occupancy table and perform soft lock conversion and hard lock control. The vehicle status acquisition module establishes a data connection with the workstation time slice management module to collect the state vectors of the transport vehicle and the transportable thermochemical load and write them into the vehicle status table. The plan generation module establishes a data connection with the vehicle status acquisition module to generate a set of candidate operation plans; The constraint verification module establishes a data connection with the plan generation module and is used to perform constraint verification. The delivery metering module establishes a data connection with the constraint verification module to collect station-end metering data and vehicle-end status data and calculate the delivery heat. The consistency verification module establishes a data connection with the delivery measurement module to perform consistency verification of changes in heat delivered at the station and remaining available energy at the vehicle. The settlement correction module establishes a data connection with the consistency verification module to calculate the settlement heat and generate the settlement list; The exception handling module establishes a data connection with the settlement correction module and is used to generate handling suggestions when an abnormal state is triggered. The manual confirmation module establishes a data connection with the anomaly handling module and the human-machine interface module to obtain manual confirmation instructions and issue work instructions. The audit traceability module establishes a data connection with the manual confirmation module and the settlement correction module to store settlement lists and anomaly handling suggestions.

10. A computer-readable storage medium, characterized in that, The system stores a computer program, which, when executed by the scheduling and settlement platform processor, implements the steps of the integrated energy thermochemical logistics task scheduling and settlement method as described in any one of claims 1 to 8.

Images